Force of Strategy (FoS, Multi TF/TA, Backtest, Alerts)Introducing the FoS Trading System
A comprehensive and innovative solution designed for both novice and experienced traders to enhance their intraday trading.
The basic idea of creating this script is to stay profitable in any market
Key Features:
There are over 25 no-repaint strategies for generating buy and sell signals to choose from
10 symbols for simultaneous trading
Webhook alerts in TTA format (tradingview to anywhere) pre-configured to send messages for trading cross-margin futures on major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO and OKX
A unique automated "Strategy switcher" feature for backtesting and live trading—not just a specific strategy, but the logic behind choosing a trading one or another strategy based on backtesting data obtained in real time
Advanced risk management options and backtest result metrics
Higher Timeframe filters (Technical Rating, ADX, Volatility) and ability for check backtest results with 9 main higher timeframes
Buy and sell signals are generated using TradingView Technical Ratings, indicators with adaptive length algorithms and various classic indicators with standard settings to avoid overfitting
Next, I will describe in detail what this script does and what settings it operates with:
"All Strategies" off
- In the global settings block, as shown in the main chart screenshot, you select how long the script will perform backtests in days, with a limitation on the number of bars for calculations. This limitation is necessary to maintain an acceptable calculation speed. You also choose which two higher timeframes we will use for signal and filters when confirming the opening of trades
- With "All Strategies" off - as in the example on the main chart screenshot, trading is carried out by strategy #1 on 10 selected tickers simultaneously. By default, I selected the 9 top-capitalized cryptocurrencies on the Bitget exchange and the chart symbol. You can change that choice of 9 non chart opened instruments and # strategy for each them
- The first row in the table 1 shows some of the main choosen script settings, in attached example: initial capital 20$, leverage 50L, 20 backtest days, 3$ is invest in one deal, 60m - is chart timeframe, next 60m is higher timeframe 1 and last 90m is higher timeframe 2. In first column you see shortened to 5 characters ticker names
- The exchange name in the second row determines the alert messages format
I've attached another example of trading with setting "All strategies" off in the image below. In this example, trading 10 standard symbols on an hourly timeframe, 2 coins from 10: 1000SATS and DOGE have generated a profit of over $65 over the past 20 days using strategy #4
Can you browse a wide range of trading instruments and select the 10 best strategies and settings for future trading? Of course, trading is what this script is do!
The parameters in the table 1 mean the following:
TR - count of closed trading deals
WR - Winning Rate, PF - Profit Factor
MDD - Max Draw Down for all calculated time from initial capital
R$ - trading profit result in usd
The parameters in the table 2 is just more metrics for chart symbol:
PT - result in usd Per one Trade
PW - result Per Win, PL - result Per Lose
ROI - Rate of Investments
SR - Sharpe Ratio, MR - CalMAR ration
Tx - Commision Fee in Usd
R$ - trading profit result in usd again
Table 2 separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting (will be discussed in more detail in the risk management section)
Settings:
"All Strategies" on, "Check Last" off
When "All Strategies" is active, trading changed from 10 symbols and one strategy to all strategies and one chart symbol. If option "Check Last" is inactive you will see backtest results for each of strategy in backtest setting days. This is useful, for example, if you want to see backtest results under different settings over a long period of time for calibrating risk management or entry rules
"All Strategies" on, "Check Last" on
- If "All Strategies" and "Check Last" is active trading will occur on the chart symbol only for those strategies that meet the criteria of the settings block for the enabled "All Strategies" option. For example your criteria is: for last 5 trades for all strategies, open next trade only on strategy which reached ROI 25% and WinRate 50%. When strategy with this setting criteria receive Buy or Sell Signal this trade will be opened, and when trade will be close "check last" will repeat. This feature i called "Strategy switcher"
-In Table 1 if strategy meet criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+"
- The color in the first column of table 1 indicates that the strategy is currently in an open position: green means an open long position, red means an open short position.
In picture bellow you will see good example for trading with check results for last 10 trades, and make desicion for trading when criteries 0.25 ROI and WinRate 50% reached for Top 2 by ROI strategies from all list of them. This example of trading logic in last 20 days (include periods when strategy don't arise 10 trades) give a profit $30+. At the bottom of the screen, you can see Labels with the numbers of the strategies that opened the trades. In this example, trades were primarily opened using strategy number 2, and the second most effective strategy after the 20-day backtest was strategy number 9
Who can promise you'll make a profit of $30 in the next 20 days with a drawdown of no more than $8 from the initial $20 with invest in one trade just 2.7$? No one. But this script guarantees that in the future it will repeat the same logic of switching trading strategies that brought profit over the last 20 days
Risk management options
- When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line (SL), a green take-profit line (TP), and a blue line representing the entry price. The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates
- Several options are available to control the behavior of SL/TP lines, such as stop-loss by percentage, ATR, or Highest High (HH) and Lowest Low (LL). Take Profit can be in percent, ATR or in Risk Reward ratio. There some Trailing Stop with start trail trigger options, like ATR, percent or HH / LL
- Additionally, in risk managment settings a function has been implemented for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting position). The position is added within the bar.
- Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade
Keep in mind if the stop-loss changed when adding a position, the stop-loss will not be able to be higher than the current bar's low price, regardless of your settings, as backtest trades do not use intra-bar data, in this situation SL will be correct at next bar (but alert message don't be sended twice). And please note that this script does not have an option to simultaneously open trades in different directions. Only 1 trade can be opened for 1 trading instrument at a time
Backtest Engine
Backtest is a very important part of this script. Here describe how its calculate:
- Profit or Loss is USD: close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commision fee
Possible slippage or alert sending delay needed to be include in commission % which you will set in risk managment settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees)
- Maximum Draw Down: Drawdown = (peak - current equity) / peak * 100 ;
Drawdown > maxDrawdown ? maxDrawdown = Drawdown
- ROI: profit result in USD / sum of all positions margin
- CalMAR Ratio: ROI / (-MaxDrawDown)
- Sharpe Ratio: ROI / standard deviation for (Sum of all Profits and Loses) / (Sum of all Position Margins)
This description was added because in metrics i don't use parameters like "The risk-free rate of return". Keep in mind how exactly this script calculate profit and perfomance when adjusting key criteria in the strategy switching parameters block of script settings
Strategies itself
For trading, you can enable or disable various Higher Timeframes Filters (ADX, volatility, technical rating).
With filters enabled, trades will only open when the setting parameters are reached
- Strategy number 1, 2 and 3: is Higher Timeframe TradingView Technical Ratings itself, 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR
- Strategy number 4, 5 and 6: is Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy sell level
- Strategy number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling values will be reached
- Strategies with number from 10 to 18: is chosen by user adaptive moving averages and oscillators indicators. There in settings you will see many different adaptive length algorithms for trading and different types of moving averages and oscillators. In tooltips in settings you will find very more information, and in settings you will see list of all indicators and algorithms (more than 30 variations). All adaptive strategies have their options in settings for calibrating and plotting
- Strategies with number from 19: its can't be chosen or calibarted, this is needed for avoid overfitting, i try to found mostly time worked strategies and use its with standard settings. In future it's possible to changing current or adding additional strategies. At the time of publication this script uses: Dynamic Swing HH LL (19), Composite indicator (20), %R Exhausting with different signals (21,22,23), Pivot Point SuperTrend (24), Ichimoku Cloud (25), TSI (26), Fib Level RSI (27). I don't plot classic strategies in this script
Let me explain, the value of this script is not in the strategies it includes, but in how exactly it collects the results of their work, how it filters the opening of trades, what risk management it applies and what strategy switching logic it performs. The system itself that you are now reading about represents the main value of this script
Finally if you get access for this script
- You will see many other not described options and possibilities like Kelly position or list of settings for adaptive strategies, also i added many usefull tooltips in script settings
Happy trading, and stay tuned for updates!
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one know future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Please before investment make sure that chosen logic is enaugh profitable on virtual demo account.
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Signal Tester EN [Abusuhil]Signal Tester - Complete Description
Overview
Signal Tester is a comprehensive trading tool designed to backtest and analyze external trading signals with advanced risk management capabilities. The indicator provides seven different calculation methods for stop-loss and take-profit levels, along with detailed performance statistics and real-time tracking of active trades.
Important Disclaimer: This indicator is a tool for analysis and education purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consider seeking advice from a qualified financial advisor before making trading decisions.
Key Features
7 Calculation Methods for customizable risk management
External Signal Integration via any oscillator or indicator
Real-time Trade Tracking with visual entry/exit points
Comprehensive Statistics Table showing win rate, profit/loss, and active trades
Date Filtering for focused backtesting periods
Custom Alerts for new buy signals
Multi-Target System with up to 5 take-profit levels
How to Use
Step 1: Connect External Signal
The indicator requires an external signal source to generate buy signals.
Add your preferred indicator to the chart (RSI, MACD, Stochastic, custom indicator, etc.)
In Signal Tester settings, locate "External Indicator" input
Click the input and select your indicator's plot line
Buy signals are generated when the external source crosses above zero
Example: If using RSI, connect the RSI line. A buy signal triggers when RSI crosses above the zero reference (if plotted as oscillator).
Step 2: Choose Your Calculation Method
Select one of seven methods under "Calculation Method":
1. Percentage %
The simplest method using fixed percentage values.
Settings:
Stop Loss %: Distance from entry to stop-loss (default: 2%)
Target 1-5 %: Distance from entry to each take-profit level
Example: Entry at $100
Stop Loss (2%): $98
Target 1 (2%): $102
Target 2 (4%): $104
Best For: Beginners, markets with consistent volatility
2. ATR Multiplier
Uses Average True Range for dynamic levels based on market volatility.
Settings:
ATR Period: Calculation period (default: 14)
Stop Multiplier: ATR multiplier for stop-loss (default: 1.5)
Target Multipliers: ATR multipliers for each take-profit
Example: Entry at $100, ATR = $2
Stop Loss (1.5x ATR): $100 - $3 = $97
Target 1 (2x ATR): $100 + $4 = $104
Best For: Volatile markets, adapting to changing conditions
3. Risk:Reward Ratio
Calculates targets based on risk-to-reward ratios.
Settings:
Stop Loss %: Initial risk percentage
Target Ratios: R:R ratio for each target (1:1.5, 1:2, 1:3, etc.)
Example: Entry at $100, Stop at $98 (2% risk = $2)
Target 1 (1:1.5): $100 + ($2 × 1.5) = $103
Target 2 (1:2): $100 + ($2 × 2) = $104
Target 3 (1:3): $100 + ($2 × 3) = $106
Best For: Traders focused on risk management and position sizing
4. Swing High/Low
Places stop-loss at recent swing low with targets as multiples of the risk.
Settings:
Swing Lookback Candles: Number of bars to find swing low (default: 5)
Stop Safety Distance %: Buffer below swing low
Target Multipliers: Risk multiples for each target
Example: Entry at $105, Swing Low at $100
Stop Loss: $100 - 0.1% = $99.90 (risk = $5.10)
Target 1 (1.5x): $105 + ($5.10 × 1.5) = $112.65
Best For: Swing traders, respecting market structure
5. Partial Take Profit
Sells portions of the position at each target level, moving stop to entry after first target.
Settings:
Stop Loss %: Initial stop distance
Target 1-5 %: Price levels for partial exits
Sell % at TP1-4: Percentage of position to close at each level
Example: 100% position, 50% sell at each target
TP1 hit: Sell 50%, remaining 50%, stop moves to entry
TP2 hit: Sell 25% (50% of remaining), remaining 25%
TP3 hit: Sell 12.5%, remaining 12.5%
Best For: Conservative traders, locking in profits gradually
6. Trailing Stop
Similar to Partial Take Profit but trails the stop-loss to each achieved target.
Settings:
Stop Loss %: Initial stop distance
Target 1-5 %: Price levels for trailing stops
Sell % at TP1-4: Percentage to close at each level
Example:
TP1 ($102) hit: Sell 50%, stop trails to $102
TP2 ($104) hit: Sell 25%, stop trails to $104
Price retraces to $104: Exit with locked profits
Best For: Trend followers, maximizing profit in strong moves
7. Smart Exit
Advanced method that moves stop to entry after first target, then exits based on technical conditions.
Settings:
Stop Loss %: Initial stop distance
First Target %: When hit, stop moves to breakeven
Exit Method: Choose from 8 exit strategies
Exit Methods:
Close < EMA 21: Exits when price closes below 21-period EMA
Close < MA 20: Exits when price closes below 20-period Moving Average
Supertrend Flip: Exits when Supertrend indicator flips bearish
ATR Trailing Stop: Dynamic trailing stop based on ATR
MACD Crossover: Exits on MACD bearish crossover
RSI < 50: Exits when RSI drops below specified level
Parabolic SAR Flip: Exits when SAR flips above price
Bollinger Bands: Exits when price closes below middle or lower band
Best For: Advanced traders, letting winners run with protection
Date Filtering
Control which trades are included in backtesting.
Filter Types:
Specific Date: Only trades after selected date
Number of Weeks: Last X weeks (default: 12)
Number of Months: Last X months (default: 3)
How to Enable:
Check "Enable Date Filter"
Select filter type
Set the date or number of weeks/months
Use Case: Test strategy performance in recent market conditions or specific periods
Understanding the Statistics Table
The table displays the last 10 trades plus comprehensive statistics:
Trade Columns:
#: Trade number
Entry: Entry price
Stop: Current stop-loss level
TP1-TP5: Checkmarks (✅) when targets are hit
Profit %: Realized profit for the trade
Max %: Maximum unrealized profit reached (⬆️ indicates active trade)
Status:
🔄 Active trade
✅ Closed winner
❌ SL - Stopped out
Summary Row:
Total: Number of trades executed
Period: Duration of trading period (Years, Months, Days)
Statistics Row:
W: Number of winning trades
L: Number of losing trades
A: Number of active (open) trades
Win Rate %: (Wins / Total Trades) × 100
Performance Row:
Profit: Total profit from all winning trades
Loss: Total loss from all losing trades
Net: Net profit/loss (Profit - Loss)
Visual Elements
When a buy signal triggers, the indicator draws:
Blue Line: Entry price
Red Line: Stop-loss level
Green Lines: Take-profit levels (up to 5)
Green Label: Trade number below the entry bar
Green Triangle: Buy signal marker
Alerts
The indicator includes customizable alerts for new buy signals.
Setting Up Alerts:
Click the "⏰" icon in TradingView
Select "Signal Tester "
Choose condition: "Buy"
Configure notification preferences (popup, email, webhook)
Click "Create"
Alert Message Format:
🚀 New Buy Signal!
Price:
Trade #:
Best Practices
Backtest First: Test each calculation method on historical data before live trading
Match Timeframe: Use the indicator on the timeframe you plan to trade
Combine with Analysis: Use alongside support/resistance, trend analysis, and other tools
Risk Management: Never risk more than 1-2% of capital per trade
Review Statistics: Regularly check win rate and profit/loss metrics
Adjust Settings: Optimize parameters based on the asset's volatility and your risk tolerance
Limitations
Requires external signal source (does not generate signals independently)
Backtesting assumes perfect entry/exit execution (real trading includes slippage)
Past performance does not guarantee future results
Should be used as one component of a complete trading strategy
Version Information
Version: 1.0
Pine Script Version: v5
Type: Overlay Indicator
Author: Abusuhil
Support and Updates
This indicator is provided as-is for educational and analytical purposes. Users are responsible for their own trading decisions and should thoroughly test any strategy before implementing it with real capital.
Risk Warning: Trading financial instruments carries a high level of risk and may not be suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk appetite. Only trade with money you can afford to lose.
Lakshmi - Vajra Energy Signal (VES)Vajra Energy Signal (VES) is an advanced volume analysis indicator that detects energy accumulated inside the market.
When assessing the strength of trading activity, conventional practice looks at the magnitude of volume; VES is designed with the understanding that the same volume can have different meanings depending on the price range.
VES analyzes the complex relationship between price movement and volume with a proprietary algorithm and can detect internal market activities that are invisible from surface‑level price action, visualizing the characteristic whereby the value rises before a breakout.
In other words, VES views the market as an “energy system.” In the energy accumulation phase, relatively high volume occurs relative to the price range, and in the energy release phase, the stored energy is emitted as high volatility in price, that is, a breakout—this is the core concept on which VES is established.
⚡️ Basic Demonstration
i.imgur.com
As you can see in the image above, VES simply displays the highs and lows of energy stored in the market as a thin line in a separate panel.
It is easy for traders to understand its intuitive patterns: it rises when hidden buying accumulation or selling activity continue and sink when a price breakout occurs. It can be applied across symbols and markets (stocks, commodities, cryptocurrencies, spot, and futures). While reducing clutter in price scale labels, it also supports dynamic autoscaling.
⚡️ Practical Usage
VES is expected to be used for the following purposes.
- Entry signal
When the VES value continues to rise—i.e., during energy accumulation—it can be considered on standby for a breakout. After a breakout, a trader can confirm the trend direction and enter.
- Exit signal
If the VES value rises during a trend, consider the possibility of a reversal and consider taking profits.
- Risk management
If the VES value remains elevated for a long period, regard it as increased market uncertainty and an approaching breakout; adopt a cautious trading strategy to prepare for higher volatility and adjust position size.
For example, in the BINANCE:SOLUSDT daily chart below, VES clearly shows how it functions in short‑term trading.
i.imgur.com
In September 2023, when the price was moving around 20 USDT, VES formed frequent small spikes. These early spikes suggest that market participants were still in a wait‑and‑see mode and that small‑scale accumulation was being conducted intermittently.
A decisive change came in early October 2023. While the price still stagnated in the 20–25 USDT range, VES suddenly formed a huge spike. The scale of this spike was far larger than those in September 2023, clearly suggesting that hidden substantial trading activities by large investors had begun.
In mid‑October 2023, the price began to rise. It climbed stepwise from 25 USDT to 40 USDT, then to 60 USDT and 75 USDT, and then surged to above 120 USDT within just a few weeks. This suggests that the energy built in the buy accumulation phase in early October 2023 was converted into price appreciation.
Therefore, after such a large VES signal is observed and the price breaks upward, entering a long position could have been profitable.
A large VES reaction is not only a quiet “buy signal” as in the example above; it can also be a “sell signal.” Such a case is explained below using an example on the BTC chart.
i.imgur.com
This BITSTAMP:BTCUSD 4‑hour chart is a valuable example showing how VES detects top formation on a short timeframe. In the first half of February 2024, the price moved in a relatively narrow 96,000–99,000 USD range. During this period, VES remained stable at low levels, and the market continued a calm uptrend.
The first sign appeared on February 16, 2024. While the price still held around 97,000 USD, VES formed a clearly identifiable small spike. This implied that some large investors had begun to take profits, or that new sellers had started to build short positions. However, at that point, the impact on price was limited, and many traders may have overlooked the signal.
The decisive turning point came on February 23, 2024. With the price moving around 98,000 USD, VES suddenly formed a huge spike. The scale of this spike was far larger than previous moves, clearly indicating that significant energy was accumulating.
Importantly, even at this moment the price still remained at the highs. On the surface, price barely moved and the bull trend appeared intact, but VES detected a major internal change underway.
On February 24, 2024, the price collapsed and began to fall. It dropped about 15% from 97,000 USD to 82,000 USD in a few days. The speed and magnitude of this decline corroborated the quiet “sell signal” indicated by the VES spikes.
The key lesson from this chart is that a VES spike does not necessarily mean buy accumulation. A large VES spike formed at high prices may instead indicate a distribution phase—that is, large investors exiting or building short positions. When the price is at elevated levels, a VES spike should be considered not only as a precursor to further upside but also as a warning of potential downside.
From a trading‑strategy perspective, the huge VES spike on February 23, 2024 was a clear signal to exit or to consider entering short positions. At that point, traders should have either closed long positions or to consider building a short position. The moment when price started to decline from its peak was exactly the entry timing for a short.
On the 4‑hour timeframe, changes in VES appear faster and more dramatically. While this allows more agile responses, the risk of false signals is also higher; therefore, confirmation on other timeframes and comprehensive judgment with price action are essential.
VES is a powerful tool for reading internal market activities, and this chart clearly shows that its interpretation requires flexibility that takes into account market conditions and price location.
⚡️ Parameter Settings
Strength 1: The lower the number, the more it emphasizes responses closer to the present timeframe; the higher the number, the more it emphasizes responses farther from the present timeframe. 5 is recommended.
Strength 2: The lower the number, the greater the volatility of the value; the higher the number, the smaller the volatility. 5 is recommended.
Scale: Adjusts the display scale. −30 is recommended.
⚡️ Conclusion
Vajra Energy Signal (VES) visualizes the cycle of energy accumulation in the market from the relative relationship between price range and volume, detecting hidden activities by market participants that conventional volume analysis cannot capture. VES serves as a powerful auxiliary tool for early detection of turning points, enabling deeper market understanding and more accurate timing decisions. As the examples show, there is a possibility of sensing major price movements in advance. When using VES, flexible interpretation according to market environment and price location is required, and it demonstrates its true value when combined with price action and other analysis methods such as support/resistance.
⚡️ Important Notes
- VES is a tool that infers internal market energy; it does not guarantee trades or suggest future results.
- We strongly recommend using it together with price action analysis and support/resistance.
- Confirmation across different timeframes improves reliability.
- Effectiveness may vary depending on market conditions and liquidity.
- Very illiquid instruments or newly listed assets may produce more noise.
⚡️ How to Get Access
This indicator is Public Invite‑Only. If you would like access, please apply by following the Author’s Instructions.
Katz Calypso Indicator (Refactored)Overview
The Katz Calypso Indicator is a comprehensive momentum oscillator designed to identify potential entry and exit points in the market. At its core, it uses the True Strength Index (TSI) to gauge the strength and direction of a trend. To enhance signal accuracy and reduce false positives, the indicator integrates several optional filters, including the Waddah Attar Explosion, an EMA filter, and an ATR filter. It also provides an optional RVGI-based exit signal system.
This tool is designed to provide a clear, visual representation of market momentum, with customizable filters to adapt to various trading styles and market conditions.
How to Use the Indicator
The indicator is displayed in a separate pane below the main price chart.
TSI Line (Blue): This is the main oscillator line. Its position relative to the zero line indicates the overall trend bias (above 0 is bullish, below is bearish).
Signal Line (Red): A moving average of the TSI line. Crossovers between the TSI and Signal Line are the primary triggers for trade signals.
Zero Line: The centerline of the oscillator. A cross of the Zero Line can indicate a significant shift in momentum.
Overbought/Oversold Levels: These user-defined levels (defaulting to 65 and -65) help identify potential exhaustion points in a trend, which can be used for taking profits.
On-Chart Signals: The indicator plots shapes directly on the chart to make signals easy to spot:
Green Triangles (Up): Indicate long entry or continuation signals.
Red Triangles (Down): Indicate short entry or continuation signals.
Yellow Triangles: Suggest taking profits.
Maroon/Lime Triangles: Indicate an exit based on a signal cross (like RVGI or the Zero Line).
Trading Rules
Long Trade Rules
Entry: A long trade is signaled when ALL of the following conditions are met:
The blue TSI Line crosses above the red Signal Line.
The blue TSI Line is above the 0 Zero Line.
All enabled filters (Waddah Attar, EMA, ATR) confirm bullish conditions.
A green triangle labeled "Long" will appear below the price.
Exit (Take Profit): A take-profit signal for a long trade is generated when either of these occurs:
The TSI Line crosses below the Overbought level.
The TSI Line crosses back below the Signal Line while still above zero.
A yellow triangle labeled "TPL" (Take Profit Long) will appear above the price.
Exit (Stop/Reverse): A signal to exit a long trade is generated when either of these occurs:
The TSI Line crosses below the 0 Zero Line.
The RVGI Exit filter is enabled and generates a bearish crossover signal.
A maroon triangle labeled "Exit Long" will appear above the price.
Short Trade Rules
Entry: A short trade is signaled when ALL of the following conditions are met:
The blue TSI Line crosses below the red Signal Line.
The blue TSI Line is below the 0 Zero Line.
All enabled filters (Waddah Attar, EMA, ATR) confirm bearish conditions.
A red triangle labeled "Short" will appear above the price.
Exit (Take Profit): A take-profit signal for a short trade is generated when either of these occurs:
The TSI Line crosses above the Oversold level.
The TSI Line crosses back above the Signal Line while still below zero.
A yellow triangle labeled "TPS" (Take Profit Short) will appear below the price.
Exit (Stop/Reverse): A signal to exit a short trade is generated when either of these occurs:
The TSI Line crosses above the 0 Zero Line.
The RVGI Exit filter is enabled and generates a bullish crossover signal.
A lime green triangle labeled "Exit Short" will appear below the price.
Optional Filters
You can enable or disable these filters in the indicator's settings to fine-tune its sensitivity.
Waddah Attar Explosion Filter: This filter measures trend strength and volatility. When enabled, it ensures that entries are only taken during periods of strong, confirmed momentum, helping to avoid sideways or choppy markets.
EMA Price Filter: A classic trend filter. When enabled, it will only allow long entries if the price is above the specified Exponential Moving Average and short entries only if the price is below it.
ATR Filter: This acts as a volatility-based filter to prevent chasing a move. It helps ensure that you are not entering a long trade when the price has already moved too far above its EMA, or vice-versa for a short trade.
RVGI Exit Filter: The Relative Vigor Index (RVGI) is used here exclusively as an exit signal. When enabled, a crossover of the RVGI and its signal line can provide an earlier exit signal before the TSI crosses the zero line, potentially locking in profits sooner.
Disclaimer: This indicator is provided for educational and informational purposes only. It is not financial advice. Trading carries a high level of risk, and you can lose more than your initial investment. You should use this indicator at your own risk and discretion. Always conduct your own research and consider your risk tolerance before making any trading decisions.
Calculator - AOC📊 Calculator - AOC Indicator 🚀
The Calculator - AOC indicator is a powerful and user-friendly tool designed for TradingView to help traders plan and visualize trades with precision. It calculates key trade metrics, displays entry, take-profit (TP), stop-loss (SL), and liquidation levels, and provides a clear overview of risk management and potential profits. Perfect for both novice and experienced traders! 💡
✨ Features
📈 Trade Planning: Input your Entry Price, Take Profit (TP), Stop Loss (SL), and Trade Direction (Long/Short) to visualize your trade setup on the chart.
💰 Risk Management: Set your Initial Capital and Risk per Trade (%) to calculate the optimal Position Size and Risk Amount for each trade.
⚖️ Leverage Support: Define your Leverage to compute the Required Margin and Liquidation Price, ensuring you stay aware of potential risks.
📊 Risk/Reward Ratio: Automatically calculates the Risk-to-Reward Ratio to evaluate trade profitability.
🎨 Visuals: Displays Entry, TP, SL, and Liquidation levels as lines and boxes on the chart, with customizable Line Width, Line Style, and Label Size.
✅ Trade Validation: Checks if your trade setup is valid (e.g., correct TP/SL placement) and highlights issues like potential liquidation risks with color-coded statuses (Correct ✅, Incorrect ❌, or Liquidation ⚠️).
📋 Summary Table: A clean, top-right table summarizes key metrics: Capital, Risk %, Risk Amount, Position Size, Potential Profit, Risk/Reward, Margin, Liquidation Price, Trade Status, and % to TP/SL.
🖌️ Customization: Adjust Line Extension (Bars) for how far lines extend, and choose from Solid, Dashed, or Dotted line styles for a personalized chart experience.
🛠️ How to Use
Add to Chart: Apply the indicator to your TradingView chart.
Configure Inputs:
Accountability: Set your Initial Capital and Risk per Trade (%).
Target: Enter Entry Price, TP, and SL prices.
Leverage: Specify your leverage (e.g., 10x).
Direction: Choose Long or Short.
Display Settings: Customize Line Width, Line Style, Label Size, and Line Extension.
Analyze: The indicator plots Entry, TP, SL, and Liquidation levels on the chart and displays a table with all trade metrics.
Validate: Check the Trade Status in the table to ensure your setup is valid or if adjustments are needed.
🎯 Why Use It?
Plan Smarter: Visualize your trade setup and understand your risk/reward profile instantly.
Stay Disciplined: Precise position sizing and risk calculations help you stick to your trading plan.
Avoid Mistakes: Clear validation warnings prevent costly errors like incorrect TP/SL placement or liquidation risks.
User-Friendly: Intuitive visuals and a summary table make trade analysis quick and easy.
📝 Notes
Ensure Entry, TP, and SL prices align with your trade direction to avoid "Incorrect" or "Liquidation" statuses.
The indicator updates dynamically on the latest bar, ensuring real-time visuals.
Best used with proper risk management to maximize trading success! 💪
Happy trading! 🚀📈
Kio IQ [TradingIQ]Introducing: “Kio IQ ”
Kio IQ is an all-in-one trading indicator that brings momentum, trend strength, multi-timeframe analysis, trend divergences, pullbacks, early trend shift signals, and trend exhaustion signals together in one clear view.
🔶 The Philosophy of Kio IQ
Markets move in trends—and capturing them reliably is the key to consistency in trading. Without a tool to see the bigger picture, it’s easy to mistake a pullback for a breakout, a fakeout for the real deal, or random market noise as a meaningful price move.
Kio IQ cuts through that random market noise—scanning multiple timeframes, analyzing short, medium, and long-term momentum, and telling you on the spot whether a move is strong, weak, a trap, or simply a small move within a larger trend.
With Kio IQ, price action reveals its next move.
You’ll instantly see:
Which way it’s pushing — up, down, or stuck in the middle.
How hard it’s pushing — from fading weakness to full-blown strength.
When the gears are shifting — early warnings, explosive moves, smart pullbacks, or signs it’s running out of steam.
🔶 Why This Matters
Markets move in phases—sometimes they’re powering in one direction, sometimes they’re slowing down, and sometimes they’re reversing.
Knowing which phase you’re in can help you:
Avoid chasing a move that’s about to run out of steam.
Jump on a move when it’s just getting started.
Spot pullbacks inside a bigger trend (good for entries).
See when different timeframes are all pointing the same way.
🔶 What Kio IQ Shows You
Simple color-coded phases: “Strong Up,” “Up,” “Weak Up,” “Weak Down,” “Down,” “Strong Down.”
Clear visual signals
Full Shift: Strong momentum in one direction.
Half Shift: Momentum is building but not full power yet.
Pullback Shift: A small move against the trend that may be ending.
Early Scout / Lookout: First hints of a possible shift.
Exhaustion: Momentum is very stretched and may slow down.
Divergences: When price moves one way but momentum moves the opposite way—often a warning of a change.
Multi-Timeframe Table: See the trend strength for multiple timeframes (5m, current, 30m, 4h, 1D, and optional 1W/1M) all in one place.
Trend Strength %: A single number that tells you how strong the trend is across all timeframes.
Optional meters: A “momentum bar” and “trend strength gauge” for quick checks.
🔶 How It Works Behind the Scenes
Kio IQ measures price movement in different “speeds”:
Slow view: Big picture trend.
Medium view: The main engine for detecting the current phase.
Fast view: Catches recent changes in momentum.
Super-fast view: Finds tiny pullbacks inside the bigger move.
It compares these views to decide whether the market is strong up, weak up, weak down, strong down, or in between. Then it blends data from multiple timeframes so you see the whole picture, not just the current chart.
🔶 What You’ll See on the Chart
🔷 Full Shift Oscillator (FSO)
The image above highlights the Full Shift Oscillator (FSO).
The FSO is the cornerstone of Kio IQ, delivering mid-term momentum analysis. Using a proprietary formula, it captures momentum on a smooth, balanced scale — responsive enough to avoid lag, yet stable enough to prevent excessive noise or false signals.
The Key Upside Level for the FSO is +20, while the Key Downside Level is -20.
The image above shows the FSO above +20 and below -20, and the corresponding price movement.
FSML above +20 confirms sustained upside momentum — the market is being driven by consistent, broad-based buying pressure, not just a price spike.
FSML below -20 confirms sustained downside momentum — sellers are firmly in control across the market.
We do not chase the first sudden price move. Entries are only considered when the market demonstrates persistence, not impulse.
🔷 Half Shift Oscillator (HSO)
The image above highlights the Half Shift Oscillator (HSO).
The HSO is the FSO’s wingman — faster, more reactive, and designed to catch the earliest signs of strength, weakness, or momentum shifts.
While HSO reacts first, it is not a standalone confirmation of a major momentum change or trade-worthy strength.
Using the same proprietary formula as the FSO but scaled down, the HSO delivers smooth, balanced short-term momentum analysis. It is more responsive than the FSO, serving as the scout that spots potential setups before the main signal confirms.
The Key Upside Level for the FSO is +4, while the Key Downside Level is -4.
🔷 PlayBook Strategy: Shift Sync
Shift Sync is a momentum alignment play that triggers when short-term and mid-term momentum lock into the same direction, signaling strong directional control.
🔹 UpShift Sync – Bullish Alignment
HSO > +4 – Short-term momentum is firmly bullish.
FSO > +20 – Mid-term momentum confirms the bullish bias.
When both thresholds are met, buyers are in control and price is primed for continuation higher.
🔹 DownShift Sync – Bearish Alignment
HSO < -4 – Short-term momentum is firmly bearish.
FSO < -20 – Mid-term momentum confirms the bearish bias.
When both thresholds are met, sellers dominate and price is primed for continuation lower.
Execution:
Look for an entry opportunity in the direction of the alignment when conditions are met.
Avoid choppy conditions where alignment is frequently lost.
Why It Works
Think of the market as a tug-of-war between traders on different timeframes. Short-term traders (captured by the HSO) are quick movers — scalpers, intraday players, and algos hunting immediate edge. Mid-term traders (captured by the FSO) are swing traders, funds, and institutions who move slower but carry more weight.
Most of the time, these groups pull in opposite directions, creating chop and fakeouts. But when they suddenly lean the same way, the rope gets yanked hard in one direction. That’s when momentum has the highest chance to drive price further with minimal resistance.
Shift Sync works because it isolates those rare moments when multiple market “tribes” agree on direction — and when they do, price doesn’t just move, it flies.
Best Market Conditions
Shift Sync works best when the higher timeframe trend (daily, weekly, or monthly) is moving in the same direction as the alignment. This higher timeframe confluence increases follow-through potential and reduces the likelihood of false moves.
The image above shows an example of an UpShift Sync signal where the momentum table shows that the 1D momentum is bullish.
The image above shows bonus confluence, where the 1M and 1W momentum are also bullish.
The image above shows an example of a DownShift Sync signal where the momentum table shows that the 1D momentum is bearish. Bonus confluence also exists, where the 1W and 1M chart are also bearish.
Common Mistakes
Chasing late signals – Avoid entering if the Shift Sync trigger has been active for a long time. Instead, wait for a Shift Sync Pullback to look for opportunities to join in the direction of the trend.
Ignoring higher timeframe bias – Taking Shift Sync setups against the daily, weekly, or monthly trend reduces follow-through potential and increases the risk of a failed move.
🔷 Micro Shift Oscillator (MSO)
The image above highlights the Micro Shift Oscillator (MSO)
The MSO is the finishing touch to the FSO and HSO — the fastest and most reactive of the three. It’s built to spot pullback opportunities when the FSO and HSO are aligned, helping traders join strong price moves at the right time.
The MSO may reveal the earliest signs of a momentum shift, but that’s not its primary role. Its purpose is to identify retracement and pullback opportunities within the overarching trend, allowing traders to join the move while momentum remains intact.
🔷 Playbook Strategy: Shift Sync Pullback
Key Levels:
MSO Upside Trigger: +3
MSO Downside Trigger: -3
🔹 UpShift Pullback
Momentum Confirmation:
FSO > +20 – Mid-term momentum is strongly bullish.
HSO > +4 – Short-term momentum confirms alignment with the FSO.
Pullback Trigger:
MSO ≤ -3 – Signals a short-term retracement within the ongoing bullish trend and marks the earliest re-entry opportunity.
Entry Zone:
The blue arrow on the top chart shows where momentum remains intact while price pulls back into a zone primed for a move higher.
Setup Validity: Both FSO and HSO must remain above their bullish thresholds during the pullback.
Invalid Example:
If either the FSO or HSO drop below their bullish thresholds, momentum alignment breaks. No trade is taken.
🔹 DownShift Pullback
Momentum Confirmation:
FSO < -20 – Mid-term momentum is strongly bearish.
HSO < -4 – Short-term momentum aligns with the FSO, confirming seller dominance.
Pullback Trigger:
MSO ≥ +3 – Indicates a short-term retracement against the bearish trend, pointing to possible short-entry opportunities.
Entry Zone:
The purple arrow on the top chart marks valid pullback conditions — all three oscillators meet their bearish thresholds, and price is positioned to continue lower.
Setup Validity: Both FSO and HSO must remain below their bearish thresholds during the pullback.
Invalid Example:
If either oscillator rises above the bearish threshold, momentum alignment is lost and the MSO signal is ignored.
Why It Works
Even in strong trends, price rarely moves in a straight line. Supply and demand dynamics naturally create retracements as traders take profits, bet on reversals, or hedge positions.
While many momentum traders fear these pullbacks, they’re often the fuel for the next leg of the move — offering a “second chance” to join the trend at a more favorable price.
The Shift Sync Pullback pinpoints moments when both short-term (HSO) and mid-term (FSO) momentum remain firmly aligned, even as price moves temporarily against the trend. This alignment suggests the retracement is a pause, not a reversal.
By entering during a controlled pullback, traders often secure better entries, tighter stops, and stronger follow-through potential when the trend resumes.
Best Market Conditions:
Works best when the higher timeframe (daily, weekly, or monthly) is trending in the same direction as the pullback setup.
Consistent momentum is ideal — avoid erratic, news-driven chop.
Following a recent breakout (Gate Breaker setup) when momentum is still fresh.
Common Mistakes
Ignoring threshold breaks – Entering when either HSO or FSO dips through their momentum threshold often leads to taking trades in weakening trends.
Trading against higher timeframe bias – A pullback against the daily or weekly trend is more likely to fail; use higher timeframe confluence as a filter.
🔷 Macro Shift Oscillator (MaSO)
The chart above shows the MaSO in isolation.
While the MaSO is not part of any active Kio IQ playbook strategies, it delivers the clearest view of the prevailing macro trend.
MaSO > 0 – Macro trend is bullish. Readings above +4 signal extreme bullish conditions.
MaSO < 0 – Macro trend is bearish. Readings below -4 signal extreme bearish conditions.
Use the MaSO for context, not entries — it frames the environment in which all other signals occur
🔷 Shift Gates – Kio IQ Momentum Barriers
The image above shows UpShift Gates.
UpShift Gates mark the highest price reached during periods when the FSO is above +20 — moments when mid-term momentum is firmly bullish and buyers are in control.
UpShift Gates are upside breakout levels — key swing highs formed before a pullback during periods of strong bullish momentum. When price reclaims an UpShift Gate with momentum confirmation, it signals a potential continuation of the uptrend.
The image above shows DownShift Gates.
DownShift Gates Mark The Lowest Price Reached During Periods When The FSO Is Below -20 — Moments When Mid-Term Momentum Is Firmly Bearish And Sellers Are In Control.
DownShift Gates are downside breakout levels — key swing lows formed before an upside pullback during periods of strong bearish momentum. When price reclaims a DownShift Gate with momentum confirmation, it signals a potential continuation of the downtrend.
🔷 Playbook Strategy: Gate Breakers
Core Rule:
Long signal when price decisively closes beyond an UpGate (for longs) or DownGate (for shorts). The breakout must show commitment — no wick-only tests.
🔹 UpGate Breaker (UpGate)
Trigger: Price closes above the UpShift Gate level.
Bonus Confluence: MaSO > 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakout.
Invalidation: Avoid taking the signal if the gate level forms part of a DownShift Rift (bearish divergence) — this signals underlying weakness despite the break.
The chart above shows valid UpGate Breakers.
The chart above shows an invalidated UpGate Breaker setup.
🔹 DownGate Breaker (DownGate)
Trigger: Price closes below the DownShift Gate level.
Bonus Confluence: MaSO < 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakdown.
Invalidation: Avoid taking the trade if the gate level forms part of an UpShift Rift (bullish divergence) — this signals underlying strength despite the break.
The chart above shows a valid DownGate Breaker.
Why It Works
Key swing levels like Shift Gates attract a high concentration of resting orders — stop losses from traders caught on the wrong side and breakout orders from momentum traders waiting for confirmation.
When price decisively clears a gate with a strong close, these orders trigger in quick succession, creating a burst of directional momentum.
Adding the MaSO filter ensures you’re breaking gates with the prevailing macro bias, improving the odds that the move will continue rather than stall.
The divergence-based invalidation rule (Rift filter) prevents entries when underlying momentum is moving in the opposite direction, helping avoid “fake breakouts” that trap traders.
Best Market Conditions:
Works best in markets with clear trend structure and visible Shift Gates (not during chop).
Strongest when higher timeframe (1D, 1W, 1M) momentum aligns with the breakout direction.
MaSO > 0 for bullish breakouts, MaSO < 0 for bearish breakouts
Most reliable after a period of consolidation near the gate, where pressure builds before the break.
Common Mistakes
Trading wick-only tests – A breakout without a decisive candle close beyond the gate often fails.
Ignoring MaSO bias – Taking a break in the opposite macro direction greatly reduces follow-through odds.
Skipping the Rift filter – Entering when the gate forms part of a divergence setup exposes you to higher reversal risk.
Chasing extended moves – If price is already far beyond the gate by the time you see it, risk/reward is poor; wait for the next setup or a retest.
🔷 Shift Rifts - Kio IQ Divergences
This chart shows an UpShift Rift — a bullish divergence where price action and momentum part ways, signaling a potential trend reversal or acceleration.
Setup:
Price Action: Price is marking lower lows, indicating short-term weakness.
FSO Reading: The Full Shift Oscillator (FSO) is marking higher lows over the same period, showing underlying momentum strengthening despite falling prices.
The rift between price and the FSO suggests selling pressure is losing force while buyers quietly regain control.
When confirmed by broader trend alignment in Kio IQ’s multi-timeframe momentum table, the UpShift Rift becomes a setup for a bullish move.
This chart shows a DownShift Rift — a bearish divergence where price action and momentum split, signaling a potential downside reversal.
Setup:
Price Action: Price is marking higher highs, suggesting continued strength on the surface.
FSO Reading: The Full Shift Oscillator (FSO) is marking lower highs over the same period, revealing weakening momentum beneath the price advance.
The rift between price and momentum signals that buying pressure is fading, even as price makes new highs. This disconnect often precedes a momentum shift in favor of sellers.
When aligned with multi-timeframe bearish signals in Kio IQ’s momentum table, the DownShift Rift becomes a strong setup for downside continuation or reversal.
🔷 Playbook Strategy: Rift Reversal
The Rift Reversal is a divergence-based reversal play that signals when momentum is fading and an trend reversal is likely. It’s designed to catch early turning points before the broader market catches on.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in reading divergence and trusting momentum shifts even when price action still appears weak. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpRift Reversal
Core Setup:
Price Action – Forms a lower low.
Momentum Rift – The FSO forms a higher low, signaling bullish divergence and weakening selling pressure.
Trigger:
A confirmed UpRift Reversal signal is printed when:
Bullish Divergence is detected — price makes a new low, but the oscillator fails to confirm.
Momentum begins turning up from the divergence low (marked on chart as ⇝)
The image above shows a valid UpRift Reversal play.
🔹 DownRift Reversal
Core Setup:
Price Action – Forms a higher high.
Momentum Rift – The FSO forms a lower high, signaling bearish divergence and weakening buying pressure.
Trigger
A confirmed DownRift Reversal signal is printed when:
Bearish Divergence is detected — price makes a new high, but the oscillator fails to confirm.
Momentum begins turning down from the divergence high (marked on chart as ⇝).
Why It Works
Shift Rifts work because momentum often fades before a price reverses.
Price is the final scoreboard — it reflects what has already happened. Momentum, on the other hand, is a leading indicator of pressure. When the FSO begins to move in the opposite direction of price, it signals that the dominant side in the market is losing steam, even if the scoreboard hasn’t flipped yet.
In an UpShift Rift, sellers keep pushing price lower, but each push has less force — buyers are quietly building pressure under the surface.
In a DownShift Rift, buyers keep marking new highs, but they’re spending more effort for less result — sellers are starting to take control.
These disconnects happen because large participants often scale into or out of positions gradually, creating momentum shifts before price reflects it. Shift Rifts capture those turning points early.
Best Market Conditions:
Best in markets that have been trending strongly but are starting to show signs of exhaustion.
Works well after a prolonged move into key support/resistance, where large players may take profits or reverse positions.
Higher win potential when the Rift aligns with higher timeframe momentum bias in Kio IQ’s multi-timeframe table.
Common Mistakes
Forcing Rifts in choppy markets – In sideways chop, small oscillations can look like divergences but lack conviction.
Ignoring multi-timeframe bias – Trading an UpShift Rift when higher timeframes are strongly bearish (or vice versa) reduces follow-through odds.
Entering too early – Divergences can extend before reversing; wait for momentum to confirm a turn (⇝) before making a trading decision.
Confusing normal pullbacks with Rifts – Not every dip in momentum is a divergence; the Rift requires a clear and opposing trend between price and FSO.
🔷 Shift Count – Momentum Stage Tracker
Purpose:
Shift Count measures how far a bullish or bearish push has progressed, from its first spark to potential exhaustion.
It tracks momentum in defined steps so traders can instantly gauge whether a move is just starting, picking up steam, fully extended, or at risk of reversing.
How It Works
Bullish Momentum:
Start (1–2) → New momentum emerging, early entry window.
Acceleration (3–4) → Momentum in full swing, best for holding or adding to a position.
Extreme Bullish Momentum / Final Stages (5) → Watch for signs of reversal or take partial profits.
Exhaust – Can only occur after 5 is reached, signaling that the rally may be losing steam.
Bearish Momentum:
Start (-1 to -2) → New selling pressure emerging.
Acceleration (-3 to -4) → Bear trend accelerating.
Extreme Bearish Momentum / Final Stages (-5) → Watch for reversal or scale out.
Exhaust – Can only occur after -5 is reached, signaling that the sell-off may be running out of force.
The chart above shows a full 5-UpShift count.
The chart above shows a full 5-DownShift count.
Why It’s Useful
Markets often move in momentum “steps” before reversing or taking a breather.
Shift Count makes these steps visible, helping traders:
Spot the early stages of a potential move.
Identify when a move is picking up steam.
Identify when a move is mature and vulnerable to reversal.
Combine with other Kio IQ strategies for better-timed entries and exits.
Why This Works
It’s visually obvious where you are in the momentum cycle without overthinking.
You can build rules like:
Only enter in Start phase when higher timeframe agrees.
Manage positions aggressively once in Acceleration phase.
Be ready to exit or fade in Exhaust phase.
Best Market Conditions
Trending markets where pullbacks are shallow.
Works best when combined with Shift Sync Pullback or Gate Breaker triggers to confirm timing.
Higher timeframe direction confluence.
Common Mistakes
Treating Exhaust as always a reversal — sometimes strong markets push past 5/-5 multiple times.
Ignoring higher timeframe bias — a “Start” on a 1-minute chart against a strong daily trend is much riskier.
🔷 Playbook Strategy: Exhaust Flip
Core idea: When Shift Count reaches 5 (or -5) and then prints Exhaust, momentum has likely climaxed, whether temporarily or leading to a full reversal. We take the first qualified signal against the prior move.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in trusting momentum shifts even when price action still appears strong. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpExhaust Flip (fade a bullish run)
Setup:
Shift Count hits 5, then an Exhaust print occurs.
Invalidation
The local high is broken to the upside.
The chart above explains the UpExhaust Flip strategy in greater detail.
🔹 DownExhaust Flip (fade a bearish run)
Setup:
Shift Count hits -5, then an Exhaust print occurs.
Invalidation
The local low is broken to the downside.
The chart above explains the DownExhaust Flip strategy in greater detail.
Bonus Confluence (optional, not required)
Rift assist: An UpShift Rift (for longs) or DownShift Rift (for shorts) near Exhaust strengthens the flip.
MaSO context: Neutral or opposite-leaning MaSO helps. Avoid flips straight against a strong MaSO bias unless you have a structure break.
Why It Works
Exhaust marks climax behavior: the prior side has pushed hard, then failed to extend after meeting significant pushback. Liquidity gets thin at the edges; aggressive profit-taking meets early contrarians. A small confirmation (micro structure break or HSO turn) is often enough to flip the tape for a snapback.
Best Market Conditions
After extended, one-sided runs (multiple Shift Count steps without meaningful pullbacks).
Near Shift Gates or obvious swing extremes where trapped orders cluster.
When higher-timeframe momentum is neutral or softening (you’re fading the last thrust of a decisive move, not a fresh trend).
Common Mistakes
Fading too early: Taking the trade at 5 without waiting for the Exhaust.
Fading freight trains: Fighting a fresh Shift Sync in the same direction right after Exhaust (often just a pause).
No structure reference: Entering without a clear micro swing to anchor risk.
🔷 MTF Shift Table
The MTF Shift Table table provides a compact, multi-timeframe view of market momentum shifts. Each cell represents the current shift count within a given timeframe, while the classification label indicates whether momentum is strong, weak, or normal.
The chart above further outlines the MTF Shift Table.
Why It Works
Markets rarely move in a perfectly linear fashion — momentum develops, stalls, and transitions at different speeds across different timeframes. This table allows you to:
See momentum alignment at a glance – If multiple higher and lower timeframes show a sustained shift count in the same direction, the move has greater structural support.
Spot divergences early – A shorter timeframe reversing against a longer-term sustained count can warn of potential pullbacks or trend exhaustion before price confirms.
Identify “momentum stacking” opportunities – When shift counts escalate across timeframes in sequence, it often signals a stronger and more durable move.
Avoid false enthusiasm – A single timeframe spike without agreement from other periods may be noise rather than genuine momentum.
The Trend Score provides a concise, at-a-glance evaluation of an asset’s directional strength across multiple timeframes. It distills complex momentum and Shift data into a single, easy-to-read metric, allowing traders to quickly determine whether the prevailing conditions favor bullish or bearish continuation. The Trend Scale scales from -100 to 100.
How to Use It in Practice
Trend Confirmation – Confirm that your intended trade direction is backed by multiple timeframes maintaining consistent momentum.
Risk Timing – Reduce position size or take partial profits when lower timeframes begin shifting against the dominant momentum classification.
Multi-timeframe Confluence – Combine with other system signals (e.g., FSO, HSO) for higher-probability entries.
This table effectively turns a complex multi-timeframe read into a single, glanceable heatmap of momentum structure, enabling quicker and more confident decision-making.
The MTF Shift Table is the confluence backbone of every playbook strategy for Kio IQ.
🔷 Momentum Meter
The Momentum Meter is a composite gauge built from three of Kio IQ’s core momentum engines:
HSO – Short-term momentum scout
FSO – Mid-term momentum backbone
MaSO – Macro trend context
By combining these three readings, the meter provides the most strict and lagging momentum classification in Kio IQ.
It only flips direction when a composite score of all three oscillators reach defined thresholds, filtering out short-lived counter-moves and false starts.
Why It Works
Many momentum tools flip too quickly — reacting to short-lived spikes that don’t represent real directional commitment. The Momentum Meter avoids this by requiring alignment across short, mid, and macro momentum engines before it shifts bias.
This triple-confirmation rule filters out noise, catching only those moments when traders of all speeds — scalpers, swing traders, and long-term participants — are leaning in the same direction. When that happens, price movement tends to be more sustained and less prone to immediate reversal.
In other words, the Momentum Meter doesn’t just tell you “momentum looks good” — it tells you momentum looks good to everyone who matters, across all horizons.
How It Works
Blue = All three engines align bullish.
Pink = All three engines align bearish.
The meter ignores smaller pullbacks or temporary oscillations that might flip the faster indicators — it waits for total alignment before changing state.
Because of this strict confirmation requirement, the Momentum Meter reacts slower but delivers higher-conviction shifts.
How to Interpret Readings
Blue (Bullish Alignment):
Sustained buying pressure across short, mid, and macro views. Often marks the “full confirmation” stage of a move.
Pink (Bearish Alignment):
Sustained selling pressure across all views. Confirms sellers are in control.
Practical Uses
Trend Followers – Use as a “stay-in” confirmation once a position is already open.
Swing Traders – Great for filtering out low-conviction setups; if the Momentum Meter disagrees with your intended direction, conditions aren’t fully aligned.
Confluence and Direction Filter – The Momentum Meter can be used as a form of confluence i.e. blue = longs only, pink = shorts only.
Limitations
Will always turn after the faster oscillators (HSO/MSO). This is intentional.
Works best in trending markets — in choppy conditions it may lag shifts significantly.
Should be used as a bias filter, not a standalone entry signal.
🔷 Trend Strength Meter
The Trend Strength Meter is a compact visual gauge that scores the current trend’s strength on a scale from -5 to +5:
+5 = Extremely strong bullish trend
0 = Neutral, no clear trend
-5 = Extremely strong bearish trend
This is an optional tool in Kio IQ — designed for quick reference rather than as a primary trading trigger.
Why it works
Single-indicator trend reads can be misleading — they might look strong on one metric while quietly weakening on another. The Trend Strength Meter solves this by blending multiple inputs (momentum alignment, structure persistence, and multi-timeframe data) into one composite score.
This matters because trend health isn’t just about direction — it’s about persistence. A +5 or -5 score means the market is not only trending but holding that trend with structural support across multiple timeframes.
By tracking both direction and staying power, the Trend Strength Meter flags when a move is at risk of fading before price action fully confirms it — giving you a head start on adjusting your position or taking profits.
How It Works
The Trend Strength Meter evaluates multiple market inputs — including momentum alignment, price structure, and persistence — to assign a numeric value representing how firmly the current move is holding.
The scoring logic:
Positive values indicate bullish conditions.
Negative values indicate bearish conditions.
Higher magnitude (closer to ±5) = stronger conviction in that direction.
Values near zero suggest the market is in a transition or range.
How to Interpret Readings
+4 to +5 (Strong Up) – Trend is well-established, often with multi-timeframe agreement.
+1 to +3 (Up) – Bullish bias present, but not at maximum conviction.
0 (Neutral) – No dominant trend; could be consolidation or pre-shift phase.
-1 to -3 (Down) – Bearish bias present but moderate.
-4 to -5 (Strong Down) – Trend is firmly bearish, with consistent downside momentum.
Why It Works
A single timeframe or momentum reading can give a false sense of trend health.
The Trend Strength Meter aggregates multiple layers of market data into one simplified score, making it easy to see whether a move has the underlying support to continue — or whether it’s more likely to stall.
Because the score considers both direction and persistence, it can flag when a move is losing strength even before price structure fully shifts.
🔷 Kio IQ – Supplemental Playbook Strategies
These phases are part of the Kio IQ Playbook—situational tools that can help you anticipate potential momentum changes.
While they can be useful for planning and tactical adjustments, they are not primary trade triggers and should be treated as early, lower-conviction cues.
🔹 1. Scouting Phase (Light Early Cue)
Purpose: Provide the earliest possible hint that momentum may be shifting.
Upshift Trigger: FSO crosses above the 0 line.
Downshift Trigger: FSO crosses below the 0 line.
Why It Works
The 0 line in the Full Shift Oscillator (FSO) acts as a neutral momentum boundary.
When the FSO moves above 0, it suggests that medium-term momentum has shifted to bullish territory.
When it moves below 0, it suggests that medium-term momentum has shifted to bearish territory.
This crossover is often the first measurable sign of a momentum reversal or acceleration, well before slower indicators confirm it.
Think of it as "momentum poking its head above water"—you’re spotting the change before it becomes obvious on price alone.
Best Use
Works best when confirmed later by Lookout Phase or other primary Kio IQ signals.
Ideal for scouting in anticipation of potential opportunities.
Helpful when monitoring multiple assets and you want a quick filter for shifts worth watching.
Can act as a trade trigger when the MTF Shift Table shows confluence (i.e., UpShift Scouting Signal + Bullish MTF Table + High Trend Strength Score).
Common Mistakes
Acting on Scouting Phase signals against the MTF Shift Table as a stand-alone trade trigger. Without higher timeframe alignment or additional confirmation, many Scouting Phase crossovers can fade quickly or reverse, leading to premature entries.
Ignoring market context
A bullish Scouting Phase in a strong downtrend can easily fail.
Always check higher timeframe trend alignment.
Overreacting to noise: On lower timeframes, small fluctuations can create false scouting signals.
Best Practices
Filter with trend: Only act on Scouting Phases that align with the dominant higher timeframe trend.
Watch volatility: In low-volatility conditions, false scouting triggers are more likely.
🔹 2. Lookout Phase (Early Momentum Alert)
Purpose:
The Lookout Phase signals an early alert that momentum is potentially strengthening in a given direction. It’s more meaningful than the Scouting Phase, but still considered a preliminary cue.
Triggers:
Upshift: FSO crosses above the HSO.
Downshift: FSO crosses below the HSO.
Why It Works:
The Lookout Phase is designed to identify moments when mid-term momentum (FSO) overtakes short-term momentum (HSO). Since the FSO is smoother and reacts more gradually, its crossover of the faster-reacting HSO can indicate a shift from short-lived fluctuations to a more sustained directional move.
This makes it a valuable early read on momentum transitions—especially when supported by higher-timeframe context.
Best Practices:
Always check the MTF Shift Table for higher-timeframe alignment before acting on a Lookout Phase signal.
Look for confluence with the Momentum Meter
Treat Lookout Phase entries as probing positions—small, exploratory trades that can be scaled into if follow-through develops.
Common Mistakes:
Treating Lookout Phase signals as a definitive trade trigger without context
Entering solely on a Lookout Phase crossover, without considering the MTF Shift Table or broader market structure, can result in chasing short-lived momentum bursts that fail to follow through.
Ignoring prevailing higher-timeframe momentum
Trading a Lookout Phase signal that is counter to the dominant trend or higher-timeframe bias increases the risk of whipsaws and false moves.
🔶 Summary
Kio IQ is an all-in-one trading indicator that combines momentum, trend strength, multi-timeframe analysis, divergences, pullbacks, and exhaustion alerts into a clear, structured view. It helps traders cut through market noise by showing whether a move is strong, weak, a trap, or simply part of a larger trend. With tools like the Full Shift Oscillator, Multi-Timeframe Shift Table, Shift Gates, and Rift Divergences, Kio IQ simplifies complex market behavior into easy-to-read signals. It’s designed to help traders spot early shifts, align with momentum, and recognize when trends are building or losing steam—all in one place.
Xmoon – 3 Push Divergence – PremiumWhat the Xmoon Indicator Does and Why It’s Special
The Xmoon Indicator is an advanced and unique analytical tool, built on years of trading experience, research, and development. It is not merely a combination of a few simple indicators; it is a comprehensive, intelligent system that brings together the three main pillars of trading success—strategy, risk management, and trading psychology—into a single integrated tool.
Strategy
• Xmoon’s core algorithm is based on the 3 Push Divergence pattern in the RSI —a pattern not offered in other indicators. Most existing tools only detect divergence between two highs or two lows, whereas Xmoon can identify three consecutive highs or three consecutive lows with a momentum mismatch, which considerably increases the statistical likelihood of a trend reversal.
Risk Management
• Automatically calculates the size of each step entry based on per-step capital allocation, leverage, and entry/exit prices, using precise, weighted calculations.
• These multi-step calculations run in real time and are shown clearly in the Information Box for quick reading.
• A Liquidity Line (risk threshold) is computed for each setup and plotted on the chart so you can see at a glance where the position would be liquidated (futures) or where the analysis is invalidated (spot).
Psychology & Decision-Making
• From the moment a signal is generated, Xmoon plots all key levels— step entries, risk-free levels, targets, and the liquidity line —so the trader knows from the outset:
o where the profitable exit is if the market follows the analysis;
o where the break-even (risk-free) exit is if the market moves against the analysis.
• This approach significantly reduces stress and emotional decision-making, because both favorable and unfavorable scenarios are predefined.
Logic & Workflow of the Xmoon Indicator
1️⃣ Pivot Detection and Classification
Xmoon first detects price pivots on the chart and classifies them— based on the bar distance between consecutive pivot highs/lows—into four tiers: Super Minor, Minor, Mid-Major, and Major .
The greater the distance between pivots, the larger and more reliable the pivot becomes—though signals are generated less frequently.
2️⃣ Detecting the 3 Push Divergence Pattern
At this stage, Xmoon identifies 3 Push Divergence patterns. The pattern forms when price prints three consecutive pivots in the same direction, i.e.:
• Bullish: three successive higher highs
• Bearish: three successive lower lows
Meanwhile, at the corresponding points on the RSI , momentum moves the other way:
• Bullish case: RSI peaks step down each time — weakening buying pressure
• Bearish case: RSI troughs step up each time — weakening selling pressure
This repeated price–momentum disagreement three times in a row can significantly increase the likelihood of a trend reversal.
3️⃣ Plotting the Pattern and Key Levels
After the pattern is detected, Xmoon draws the divergence lines and plots the following levels on the chart:
• Step entry lines based on the user-defined number of steps and allocated capital.
• Risk-free (break-even) lines for exits without profit or loss.
• Target lines indicating minimum profit objectives.
• Liquidity level (risk threshold) marking where equity would be wiped out in futures.
These visuals let the trader see, at a glance, the full picture of the pattern, planned entries/exits, and the risk range.
4️⃣ Information Box
After the pattern is detected, Xmoon can display an on-chart Information Box alongside each detected pattern (when enabled in the settings). It includes:
• Pivot type: Super Minor, Minor, Mid-Major, or Major.
• Confirmation filters:
1. Higher-timeframe trend based on the 200-period moving average (MA200).
2. Higher-timeframe overbought/oversold status based on RSI.
• Suggested entry size: based on actual capital and leverage.
This box helps the trader quickly see the pattern quality, overall market context, and the suggested position size.
ℹ️ Explanation of Confirmation Filters
Using these filters can increase signal accuracy.
This information is built into the Xmoon indicator, so you don’t need to add any extra indicators or tools to the chart. Xmoon performs the comparisons in real time and displays the filter results in the Information Box .
• Higher-timeframe trend filter: If the higher-timeframe trend based on the 200-period moving average (MA200) is bullish, buy/long signals are stronger; if it’s bearish, sell/short signals are stronger.
• Higher-timeframe overbought/oversold filter: If RSI is in the overbought zone, the probability of success for sell/short signals is higher; in the oversold zone, the probability of success for buy/long signals is higher.
🧩 What are the components of the Xmoon indicator, and why are they combined?
• Core strategy: trend-reversal signals via a proprietary 3 Push Divergence algorithm.
• Multi-stage confirmation: higher-timeframe trend based on MA200 , plus higher-timeframe RSI overbought/oversold confirmation.
• Advanced position sizing: step-based sizing and weighted averaging .
• Structured exit management: risk-free levels, targets , and liquidity level.
• Supports fast decision-making: all vital information at a glance.
This combination turns Xmoon into a complete, practical system that has not been implemented in this integrated way in any similar tool on TradingView, and it is precisely the sum of these features in a single indicator that sets Xmoon apart from comparable tools.
How to Use the Xmoon Indicator
1️⃣ Add to chart: Add the indicator to the chart of your chosen symbol.
2️⃣ Configure parameters: In Settings , adjust the following to match your strategy:
• Number of Entry steps: 2 to 10 steps
• Pivot type: Super Minor / Minor / Mid-Major / Major
• Pattern direction: Bullish / Bearish
• Display options: show lines and the Information Box
• Capital per trade
• Higher-timeframe filters: timeframes for Trend and RSI
3️⃣ Enable alerts: Turn on alerts to receive immediate notifications when a 3 Push Divergence pattern is detected.
4️⃣ Review the Information Box: To assess pattern strength and alignment with the market after a signal appears, check:
• Pivot size: Super Minor / Minor / Mid-Major / Major (for gauging pattern strength)
• Confirmation filters:
1. Whether the detected pattern aligns with the higher-timeframe trend
2. Whether the detected pattern aligns with the higher-timeframe RSI overbought/oversold condition
These details help you decide whether to enter the trade.
5️⃣ Step Entries
After reviewing the conditions, open your first position at Step 1 . If price moves against you and reaches the Step 2 level, open a new position there, and continue opening additional positions at each subsequent step level.
Whenever price reverses from any of these levels and moves in the direction of your analysis, all open positions will move into profit .
In Xmoon, the number of entry steps is fully configurable ( 2 to 10 ). Set it according to your strategy—the system automatically calculates the size of each step based on the capital you allocate.
6️⃣ Exit Management
Depending on market conditions, you can choose one of the following:
• ⚖️ Exit at the risk-free level: when the market is uncertain and you prefer to close at break-even.
• 🎯 Exit at the target level: when price has followed your analysis and you want to realize profit.
⚠️ Liquidity Level
• Spot: analysis invalidation point.
• Futures: the price at which a leveraged position’s equity would be wiped out.
Why the Invite-Only Version of Xmoon Is Worth Getting
• Proprietary 3 Push Divergence detection and confirmation that isn’t available in the free version or generic indicators.
• Automatic, precise capital and step sizing, with visual plotting of key levels from the moment a signal is issued.
• Real-time market context and pattern quality shown in the Information Box—no need to switch timeframes or add extra indicators.
• Risk control and psychological support by outlining predefined scenarios from start to finish of the trade.
• Limited access to help prevent misuse and reduce users’ financial risk, with dedicated training before activation.
• Developed through extensive backtesting and live evaluation; outcomes depend on correct use and market conditions.
We sincerely hope you have successful and profitable trades.
📣 If you have any questions or need further guidance, we’ll be happy to hear from you.
It’s our pleasure to assist you anytime.
🔻🔻🔻 Persian Section – بخش فارسی 🔻🔻🔻
اندیکاتور ایکسمون چه کاری انجام میدهد و چرا خاص است
اندیکاتور ایکسمون یک ابزار تحلیلی پیشرفته و منحصربهفرد است که حاصل سالها تجربه ترید، تحقیق و توسعه است. این اندیکاتور صرفاً ترکیب چند اندیکاتور ساده نیست، بلکه یک سیستم جامع و هوشمند است که سه رکن اصلی موفقیت در معاملات یعنی استراتژی، مدیریت سرمایه و روانشناسی معاملهگری را در یک ابزار یکپارچه گردآورده است
در بخش استراتژی
* الگوریتم اصلی ایکسمون بر اساس الگوی سهپوش واگرایی (تری پوش دایورجنس) در آر-اِس-آی طراحی شده است؛ الگویی که در سایر اندیکاتور ها ارائه نشده است، بیشتر ابزارهای موجود تنها واگرایی بین دو قله یا دو کف را تشخیص میدهند، در حالی که ایکسمون توانایی شناسایی سه قله یا سه کف متوالی با تضاد مومنتوم را دارد که این موضوع از نظر آماری احتمال بازگشت روند را بهمراتب افزایش میدهد
در بخش مدیریت سرمایه
* محاسبه خودکار حجم هر پله، بر اساس سرمایه پله ای، لوریج و قیمتهای ورود/خروج بهصورت دقیق و وزنی انجام میشود
* این محاسبات پیچیده برای چندین پله به شکل لحظهای انجام شده و در باکس اطلاعات به سادهترین شکل نمایش داده میشود
* خط لیکوییدیتی (حد ریسک) برای هر الگو محاسبه و روی نمودار بصورت بصری رسم میشود تا کاربر در یک نگاه بداند سرمایهاش کجا صفر میشود (در فیوچرز) یا تحلیلش کجا باطل میشود (در اسپات)
در بخش روانشناسی و تصمیمگیری
* ایکسمون از همان لحظه صدور سیگنال، تمام خطوط کلیدی (ورودی پلهای، ریسکفری، تارگت، لیکوییدیتی) را رسم میکند تا معاملهگر از ابتدا بداند
* اگر بازار طبق تحلیل پیش برود، خروج سودآور کجاست
* اگر بازار بر خلاف تحلیل پیش برود، نقطه خروج بیضرر (ریسکفری) کجاست
* این رویکرد باعث کاهش شدید استرس و تصمیمگیری احساسی میشود، چون سناریوهای خوشبینانه و بدبینانه از پیش مشخص هستند
⚙️ منطق و روش کار اندیکاتور ایکسمون
1️⃣ شناسایی و طبقهبندی پیوتها
اندیکاتور ایکسمون ابتدا پیوتهای قیمتی را روی نمودار شناسایی کرده و بر اساس فاصلهی کندلی بین سقف یا کف ها، آنها را در چهار دسته طبقهبندی میکند : سوپر مینور، مینور، میدماژور و ماژور
هرچه فاصله بین پیوت ها بیشتر باشد، پیوت بزرگتر و معتبرتر است، اما سیگنالها کمتر تولید میشوند
2️⃣ تشخیص الگوی سهپوش واگرایی
اندیکاتور ایکسمون در این مرحله الگوهای سهپوش واگرایی را شناسایی میکند، این الگو زمانی شکل میگیرد که قیمت سه پیوت متوالی همجهت تشکیل دهد، یعنی
* حالت صعودی : سه سقف پیاپی بالاتر از قبلی
* حالت نزولی : سه کف پیاپی پایینتر از قبلی
و همزمان، در نقاط متناظر در آر-اِس-آی حرکت معکوس دیده شود، به این معنا که
* حالت صعودی، قلههای آر-اِس-آی هر بار پایینتر از قبلی قرار گیرند - کاهش قدرت خرید
* حالت نزولی، درههای آر-اِس-آی هر بار بالاتر از قبلی شکل گیرند - کاهش فشار فروش
این تضاد قیمت و مومنتوم، وقتی سه بار پیاپی رخ دهد، احتمال بازگشت روند را بهشدت افزایش میدهد
3️⃣ ترسیم الگو و نمایش سطوح کلیدی
پس از شناسایی الگو، ایکسمون خطوط واگرایی و همچنین خطوط و سطوح زیر را روی نمودار ترسیم میکند، این موارد شامل
* 📍 خطوط ورود پلهای بر اساس تعداد پله و سرمایه تنظیمشده توسط کاربر
* ⚖️ خطوط ریسکفری برای خروج بدون سود و زیان
* 🎯 خطوط تارگت به عنوان سطوح حداقل سود
* 🛡 سطح لیکوییدیتی (حد ریسک) برای مشخصکردن نقطه صفر شدن سرمایه در معاملات فیوچرز
این ترسیمات باعث میشود معاملهگر در یک نگاه تصویر کامل از الگو، سطوح ورود و خروج و محدوده ریسک داشته باشد
4️⃣ باکس اطلاعات
پس از شناسایی الگو، اندیکاتور ایکسمون یک باکس اطلاعات تکمیلی در کنار هر الگو نمایش میدهد، البته با فعالسازی گزینه مربوطه در تنظیمات، باکس اطلاعات در کنار الگو نمایش داده میشود و شامل موارد زیر میباشد
* 🏷 نوع پیوت : سوپر مینور، مینور، میدماژور یا ماژور
* 📋 فیلترهای تأییدی
یک - جهت روند در تایمفریم بالاتر بر اساس میانگین متحرک دویست
دو - وضعیت اشباع خرید/فروش در تایمفریم بالاتر بر اساس اندیکاتور آر-اِس-آی
* 📊 حجم پیشنهادی ورود : بر اساس سرمایه واقعی و لوریج
این باکس به معاملهگر کمک میکند در یک نگاه کیفیت الگو، شرایط کلی بازار و حجم پیشنهادی ورود را بداند
توضیح درباره فیلترهای تأییدی : استفاده از این فیلترها میتواند دقت سیگنالها را افزایش دهد. این اطلاعات در اندیکاتور ایکسمون موجود است و نیازی نیست اندیکاتور یا ابزار اضافه دیگری به چارت اضافه کنید. ایکسمون مقایسه ها را در لحظه انجام میدهد و نتیجه فیلترها را در باکس اطلاعات به شما نشان میدهد
* فیلتر جهت روند در تایمفریم بالاتر : اگر روند بالاتر بر اساس اِم-اِی-دویست صعودی باشد، سیگنالهای خرید/لانگ قویتر هستند و بالعکس
* فیلتر تشخیص نواحی اشباع خرید/فروش در تایمفریم بالاتر : اگر آر-اِس-آی در محدوده اُورباوت باشد، احتمال موفقیت فروش بیشتر است و در محدوده اُورسولد احتمال موفقیت خرید بالاتر میرود
🧩 اجزای اندیکاتور ایکسمون چه هستند و چرا این اجزا با هم ترکیب شدهاند
* استراتژی اصلی : سیگنال بازگشت روند با الگوریتم اختصاصی سهپوش واگرایی
* تأیید چندمرحلهای جهت روند در تایم فریم بالاتر بر اساس اِم-اِی-دویست و تایید وضعیت بیشینه خرید/فروش در تایم فریم بالاتر در اندیکاتور آر-اِس-آی
* مدیریت سرمایه پیشرفته : محاسبه حجم پلهای و میانگین وزنی
* مدیریت خروج ساختاریافته : سطوح ریسکفری، تارگت، لیکوییدیتی
* پشتیبانی از تصمیمگیری سریع : همه اطلاعات حیاتی در یک نگاه
این ترکیب، ایکسمون را به یک سیستم کامل و کاربردی تبدیل کرده که در هیچ ابزار مشابهی در تریدینگویو به این شکل یکپارچه پیادهسازی نشده است و دقیقاً مجموع این ویژگیها در یک اندیکاتور است که ایکسمون را از ابزارهای مشابه متمایز میکند
📖 نحوه استفاده از اندیکاتور ایکسمون
1️⃣ افزودن اندیکاتور به چارت : اندیکاتور را به نمودار نماد دلخواه اضافه کنید
2️⃣ تنظیم پارامترها : از بخش تنظیمات، موارد زیر را بر اساس استراتژی شخصی خودتان مشخص کنید
* تعداد پلههای ورود: از دو تا ده پله
* نوع پیوت ها: سوپر مینور/مینور/مید-ماژور/ماژور
* نوع الگوها: نزولی/صعودی
* نمایش خطوط و باکس اطلاعات
* تعیین سرمایه در هر معامله
* تایمفریمهای فیلتر اِم-اِی-دویست و آر-اِس-آی
3️⃣ فعالسازی هشدارها : برای اطلاع فوری از شناسایی الگوهای سهپوش واگرایی ، آلارمها را فعال کنید
4️⃣ بررسی باکس اطلاعات : برای سنجش قدرت الگو و همجهتی با بازار، پس از صدور سیگنال، اطلاعات زیر را در باکس مشکی اطلاعات بررسی کنید
* 🏷 نوع پیوت : بررسی میزان قدرت الگو - سوپر مینور، مینور، میدماژور یا ماژور
* 📋 فیلترهای تأییدی
یک - بررسی هم جهتی الگوی شناسایی شده با جهت روند در تایمفریم بالاتر
دو - بررسی هم جهتی الگوی شناسایی شده با وضعیت اشباع خرید یا فروش در اندیکاتور آر-اِس-آی در تایمفریم بالاتر
این اطلاعات به شما کمک میکند تصمیم بگیرید که آیا وارد معامله شوید یا خیر
5️⃣ ورود پلهای
اگر پس از بررسی شرایط تصمیم به ورود گرفتید، اولین پوزیشن را در پله اول باز کنید و در صورتی که بازار در خلاف جهت موردنظر شما حرکت کرد و به سطح پله دوم رسید، یک پوزیشن جدید در همان سطح باز کنید و با رسیدن به سطوح بعدی، پوزیشن های بعدی را باز می کنید
هر زمان که بازار از هر یک از این سطوح برگشت و در جهت تحلیل شما حرکت کرد، تمامی پوزیشنهای باز شده وارد سود میشوند
در اندیکاتور ایکسمون، تعداد پلههای ورودی کاملاً قابلتنظیم است (بین دو تا ده پله ) و شما میتوانید بر اساس استراتژی شخصی خود آن را تعیین کنید، سیستم بهطور خودکار حجم هر پله را بر اساس سرمایه واردشده محاسبه میکند
6️⃣ مدیریت خروج
بسته به شرایط بازار، میتوانید یکی از دو روش زیر را انتخاب کنید
* ⚖️ خروج در سطح ریسکفری : زمانی که بازار نامطمئن است و میخواهید بدون سود یا زیان از معامله خارج شوید
* 🎯 خروج در سطح تارگت : زمانی که قیمت طبق تحلیل شما حرکت کرده است و بدنبال کسب سود هستید
⚠️سطح لیکوییدیتی
* اسپات: نقطه ابطال تحلیل
* فیوچرز: نقطه صفر شدن سرمایه پوزیشن با لوریج
💎 چرا نسخه اینوایت اونلی ایکسمون ارزش تهیه دارد
* الگوریتم اختصاصی شناسایی و تأیید سهپوش واگرایی که در نسخه رایگان یا اندیکاتورهای عمومی وجود ندارد
* محاسبات سرمایه و حجم پلهای بهصورت خودکار و دقیق، همراه با رسم بصری سطوح کلیدی از لحظه صدور سیگنال
* نمایش آنی شرایط بازار و کیفیت الگو در باکس اطلاعات بدون نیاز به تغییر تایمفریم یا افزودن اندیکاتورهای اضافی
* کنترل ریسک و پشتیبانی روانی معاملهگر با ارائه سناریوهای مشخص از ابتدا تا انتهای معامله
* دسترسی محدود برای جلوگیری از استفاده نادرست و کاهش ریسک مالی کاربران، همراه با آموزش اختصاصی پیش از فعالسازی
* اثباتشده در تستها و معاملات واقعی با نتایج قابل اتکا، به شرط استفاده صحیح بر اساس آموزش
صمیمانه امیدواریم معاملات موفق و پرسودی داشته باشید
📣 اگر سوالی دارید یا نیاز به راهنمایی بیشتری دارید، خوشحال میشویم از ما بپرسید
با کمال میل در خدمتتان هستیم
AI-Powered ScalpMaster Pro [By TraderMan]🧠 AI-Powered ScalpMaster Pro How It Works
📊 What Is the Indicator and What Does It Do?
🧠 AI-Powered ScalpMaster Pro is a powerful technical analysis tool designed for scalping (short-term, fast-paced trading) in financial markets such as forex, crypto, or stocks. It combines multiple technical indicators (RSI, MACD, Stochastic, Momentum, EMA, SuperTrend, CCI, and OBV) to identify market trends and generate AI-driven buy (🟢) or sell (🔴) signals. The goal is to help traders seize profitable scalping opportunities with quick and precise decisions. 🚀
Key Features:
🧠 AI-Driven Logic: Analyzes signals from multiple indicators to produce reliable trend signals.
📈 Signal Strength: Displays buy (bull) and sell (bear) signal strength as percentages.
✅ Success Rate: Tracks the performance of the last 5 trades and calculates the success rate.
🎯 Entry, TP, and SL Levels: Automatically sets entry points, take profit (TP), and stop loss (SL) levels.
📏 EMA Zone: Analyzes price movement around the EMA 200 to confirm trend direction.
⚙️ How Does It Work?
The indicator uses a scoring system by combining the following technical indicators:
RSI (14): Evaluates whether the price is in overbought or oversold zones.
MACD (12, 26, 9): Analyzes trend direction and momentum.
Stochastic (%K): Measures the speed of price movement.
Momentum: Checks the price change over the last 10 bars.
EMA 200: Determines the long-term trend direction.
SuperTrend: Tracks trends based on volatility.
CCI (20): Measures price deviation from its normal range.
OBV ROC: Analyzes volume changes.
Each indicator generates a buy (bull) or sell (bear) signal. If 6 or more indicators align in the same direction (e.g., bullScore >= 6 for buy), the indicator produces a strong trend signal:
📈 Strong Buy Signal: bullScore >= 6 and bullScore > bearScore.
📉 Strong Sell Signal: bearScore >= 6 and bearScore > bullScore.
🔸 Neutral: No dominant direction.
Additionally, the EMA Zone feature confirms the trend based on the price’s position relative to a zone around the EMA 200:
Price above the zone and sufficiently distant → Uptrend (UP). 🟢
Price below the zone and sufficiently distant → Downtrend (DOWN). 🔴
Price within the zone → Neutral. 🔸
🖥️ Display on the Chart
Table: A table in the top-right corner shows the status of all indicators (✅ Buy / ❌ Sell), signal strength (as %), success rate, and results of the last 5 trades.
Lines and Labels:
🎯 Entry Level: A gray line at the price level when a new signal is generated.
🟢 TP (Take Profit): A green line showing the take-profit level.
🔴 SL (Stop Loss): A red line showing the stop-loss level.
EMA Zone: The EMA 200 and its surrounding colored zone visualize the trend direction (green: uptrend, red: downtrend, gray: neutral).
📝 How to Use It?
Platform Setup:
Add the indicator to the TradingView platform.
Customize settings as needed (e.g., EMA length, risk/reward ratio).
Monitoring Signals:
Check the table: Look for 📈 STRONG BUY or 📉 STRONG SELL signals to prepare for a trade.
AI Text: Trust signals more when it says "🧠 FULL CONFIDENCE" (success rate ≥ 50%). Be cautious if it says "⚠️ LOW CONFIDENCE."
Entering a Position:
🟢 Buy Signal:
Table shows "📈 STRONG BUY" and bullScore >= 6.
Price is above the EMA Zone (green zone).
Entry: Current price (🎯 entry line).
TP: 2% above the entry price (🟢 TP line).
SL: 1% below the entry price (🔴 SL line).
🔴 Sell Signal:
Table shows "📉 STRONG SELL" and bearScore >= 6.
Price is below the EMA Zone (red zone).
Entry: Current price (🎯 entry line).
TP: 2% below the entry price (🟢 TP line).
SL: 1% above the entry price (🔴 SL line).
Position Management:
If the price hits TP, the trade closes profitably (✅ Successful).
If the price hits SL, the trade closes with a loss (❌ Failed).
Results are updated in the "Last 5 Trades" section of the table.
Risk Management:
Default risk/reward ratio is 1:2 (1% risk, 2% reward).
Always adjust position size based on your capital.
Consider smaller lot sizes for "⚠️ LOW CONFIDENCE" signals.
💡 Tips
Timeframe: Use 1-minute, 5-minute, or 15-minute charts for scalping.
Market Selection: Works best in volatile markets (e.g., BTC/USD, EUR/USD).
Confirmation: Ensure the EMA Zone trend aligns with the signal.
Discipline: Stick to TP and SL levels, avoid emotional decisions.
⚠️ Warnings
No indicator is 100% accurate. Always use additional analysis (e.g., support/resistance).
Be cautious during high-volatility periods (e.g., news events).
The success rate is based on past performance and does not guarantee future results.
Fundur - Trend TraderFundur - Trend Trader: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Trader is a comprehensive dual-timeframe analysis indicator that combines fair value structure analysis, risk-reward calculations, and dynamic trend identification into one powerful trading tool. This indicator is designed to provide traders with precise entry and exit points while offering complete risk management insights.
What Makes Trend Trader Unique?
The Trend Trader goes beyond traditional pivot point indicators by introducing Fair Value Structure Analysis - a methodology that analyzes the relationship between two timeframes to determine market bias and optimal trading opportunities. Unlike static indicators, Trend Trader provides dynamic analysis that adapts to market conditions in real-time.
Core Methodology
The indicator operates on the principle that markets oscillate between Premium (overvalued) and Discount (undervalued) zones relative to fair value levels. By analyzing these zones across multiple timeframes, traders can identify high-probability trade setups with clearly defined risk-reward parameters.
Key Features
🎯 Dual-Timeframe Fair Value Analysis
Higher Timeframe Structure : Primary trend direction and major levels
Lower Timeframe Structure : Refined entry opportunities and micro-trend analysis
Dynamic Relationship : Real-time analysis of timeframe alignment
📊 Comprehensive Level System
Fair Value (FV) : Central equilibrium level for entries
Premium Levels (P1, P2, P3) : Sell zones with increasing distance from fair value
Discount Levels (D1, D2, D3) : Buy zones with increasing distance from fair value
🧠 Intelligent Trend Detection
Session-to-Session Analysis : Compares current vs previous session fair values
Trend Signals : Clear LONG/SHORT setup identification
Structure Bias : Bullish/Bearish fair value structure determination
⚖️ Advanced Risk-Reward System
Real-Time R:R Calculations : Dynamic risk-reward ratios for all levels
Leverage Recommendations : Optimal position sizing based on measured risk
Risk Percentage Display : Precise risk calculations for informed decisions
🎨 Smart Visual Features
Level Hit Tracking : Automatically darkens touched levels during session
Squeeze Detection : Identifies low-volatility periods with special bar coloring
Dynamic Highlighting : Price-responsive level emphasis
Zone Fills : Visual premium and discount area identification
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart
Click the "Indicators" button or press "/" key
Search for "Fundur - Trend Trader"
Add the indicator to your chart
Step 2: Basic Configuration
Timeframe Settings
Higher Timeframe : Default is Weekly (W), adjust based on your trading style:
Scalping : Use 4H for higher timeframe
Day Trading : Use Daily (D) for higher timeframe
Short-Term Swing Trading : Use Weekly (W) for higher timeframe
Long-Term Swing Trading : Use Monthly (M) for higher timeframe
Position Trading : Use Quarterly (3M) or Yearly (12M) for higher timeframe
History Bars :
Higher Timeframe: 10 bars (recommended)
Lower Timeframe: 50 bars (recommended)
Visual Settings
Line Widths : Adjust for visibility preference
Zone Fills : Enable for better visual zone identification
Bar Coloring : Enable structure and squeeze coloring
Step 3: Label Configuration
Essential Labels (Recommended Settings)
✅ Show All Labels: ON
✅ Show Trend Direction: ON
✅ Show Higher Timeframe Labels: ON
⚠️ Show Lower Timeframe Labels: OFF (avoid clutter initially)
✅ Show Price Values: ON
Label Style Options
Use Short Names : ON (P1, D2, FV instead of full names)
Combine Timeframe & Description : ON (creates compact labels like "W-FV")
Label Style : Choose between Modern or Classic
Step 4: Risk-Reward Setup
✅ Show Risk-Reward Analysis: ON
✅ Show Measured Risk Values: ON
✅ Apply Leverage to Calculations: ON
Leverage Multiplier : Start with 1.0, adjust based on your risk tolerance
Basic Trading Guide
Understanding Fair Value Structure
The indicator's foundation is the Fair Value Structure - the relationship between higher and lower timeframe fair value levels:
Bullish Structure (🔵)
Condition : Lower timeframe FV above higher timeframe FV
Bias : Look for LONG opportunities
Focus : Fair Value Structure for entries (continuation strategy)
Strategy : Enter long positions at Fair Value, take profits at Premium levels (P1, P2, P3)
Bearish Structure (🟠)
Condition : Lower timeframe FV below higher timeframe FV
Bias : Look for SHORT opportunities
Focus : Fair Value Structure for entries (continuation strategy)
Strategy : Enter short positions at Fair Value, take profits at Discount levels (D1, D2, D3)
Entry Strategies
Primary Strategy: Fair Value Continuation Entries
Setup : Price approaches fair value level with established structure bias
Entry : In Fair Value Structure (in between the lower timeframe and higher timeframe fair value)
Direction : Follow the structure bias (long in bullish structure, short in bearish structure)
Stop Loss: Two approaches available:
Advanced Method : Place stop shy of liquidation point to avoid liquidation
Hassle-Free Method : Previous high/low OR just beyond higher timeframe Fair Value
For Long Positions : Stop below higher timeframe Fair Value
For Short Positions : Stop above higher timeframe Fair Value
Profit Taking Strategy:
For Long Positions (Bullish Structure):
75% profits at Premium 1 (P1) - highest probability target
50% of remaining position at Premium 2 (P2)
Close entire position at Premium 3 (P3)
Move stop loss to break even after first profits
For Short Positions (Bearish Structure):
75% profits at Discount 1 (D1) - highest probability target
50% of remaining position at Discount 2 (D2)
Close entire position at Discount 3 (D3)
Move stop loss to break even after first profits
Alternative Strategy: Structure Transition Entries
Setup : Structure changes from bearish to bullish (or vice versa)
Entry : At new fair value level after structure confirmation
Risk Management : Tight stops during structure transition periods
Targets : Follow primary profit-taking methodology above
Risk Management Framework
Position Sizing Using Leverage Recommendations
The indicator calculates optimal leverage based on measured risk:
Conservative : Use 50% of recommended leverage
Moderate : Use 75% of recommended leverage
Aggressive : Use 100% of recommended leverage
Never exceed : 150% of recommended leverage
Stop Loss Placement
Follow the methodology outlined in the Primary Strategy section:
Advanced Method : Place stop shy of liquidation point to avoid forced liquidation
Hassle-Free Method : Use structural levels for clear invalidation
Long Positions : Stop below higher timeframe Fair Value
Short Positions : Stop above higher timeframe Fair Value
Alternative : Previous significant high/low levels
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Timeframe Settings:
Higher Timeframe: 4H (240)
Lower Timeframe: 1H (auto-calculated)
History: 5 bars for higher, 20 bars for lower
Visual Settings:
Enable all visual features for quick decision making
Use Classic label style for cleaner appearance
Enable squeeze coloring for volatility awareness
Trading Approach:
Focus on fair value continuation entries
Quick entries in fair value structure
Tight risk management using R:R table
Target P1/D1 levels for primary profits (75% position)
Setup 2: Day Trading Configuration (5-15 minute charts)
Timeframe Settings:
Higher Timeframe: Daily (D)
Lower Timeframe: 4H (auto-calculated)
History: 10 bars for higher, 30 bars for lower
Visual Settings:
Enable zone fills for clear premium/discount identification
Show both timeframe labels
Enable level hit tracking
Trading Approach:
Use structure bias for directional bias
Enter in fair value structure for continuation trades
75% profits at P1/D1, scale out to P2/D2, close at P3/D3
Hold positions across multiple sessions following structure
Setup 3: Short-Term Swing Trading Configuration (1-4 hour charts)
Timeframe Settings:
Higher Timeframe: Weekly (W)
Lower Timeframe: Daily (auto-calculated)
History: 15 bars for higher, 50 bars for lower
Visual Settings:
Emphasize higher timeframe levels
Show trend direction signals
Enable complete risk-reward analysis
Trading Approach:
Primary focus on higher timeframe structure
Patient entries in fair value structure
Follow standard profit-taking: 75% at P1/D1, scale to P3/D3
Use lower timeframe for refined fair value entries
Setup 4: Long-Term Swing Trading Configuration (4H charts)
Timeframe Settings:
Higher Timeframe: Monthly (M)
Lower Timeframe: Weekly (auto-calculated)
History: 20 bars for higher, 75 bars for lower
Visual Settings:
Clean label setup focusing on major levels
Enable trend direction for bias confirmation
Simplified visual approach for clarity
Trading Approach:
Monthly structure provides major trend direction
Entries in fair value structure
Hold positions for several weeks
Apply standard profit-taking methodology at premium/discount zones
Setup 5: Position Trading Configuration (Daily/Weekly charts)
Timeframe Settings:
Higher Timeframe: Quarterly (3M) or Yearly (12M)
Lower Timeframe: Monthly or Quarterly (auto-calculated)
History: 25 bars for higher, 100 bars for lower
Visual Settings:
Clean label setup focusing on key levels
Enable all alert systems
Simplified color scheme
Trading Approach:
Structure changes signal major macro trend shifts
Very patient entries in fair value structure confirmation
Long-term continuation trades targeting extended premium/discount levels
Hold positions for months to years following structure bias
Focus on major market cycles and long-term trend continuations
Setup 6: Multi-Asset Analysis Configuration
For Forex Pairs:
Adjust decimal precision for pip accuracy
Focus on daily/weekly structure
Use tight risk management due to leverage
For Crypto Assets:
Higher volatility requires wider stops
24/7 markets need continuous monitoring
Structure breaks often lead to extended moves
For Stock Indices:
Respect market hours for structure analysis
Economic events can override technical levels
Seasonal patterns affect structure behavior
Visual Components
Level Indicators
Solid Lines : Active levels based on current price position
Highlighted Levels : Levels within current price range
Darkened Levels : Previously touched levels during current session
Zone Fills
Red Zones : Premium areas (selling opportunities)
Green Zones : Discount areas (buying opportunities)
Cloud Fill : Area between dual timeframe fair values
Bar Coloring
Purple Bars : Squeeze conditions (low volatility)
Structure Colors : Based on price position relative to fair value levels
Labels and Information
Level Labels : Price values and targets for each level
Trend Signals : Clear LONG/SHORT setup indications
Risk-Reward Table : Comprehensive analysis panel
Risk Management
Built-in Risk Controls
Measured Risk System
The indicator automatically calculates risk percentages based on:
Distance from fair value to premium/discount levels
Current price position
Leverage settings applied
Optimal Leverage Calculations
Long Positions : Based on discount risk measurement
Short Positions : Based on premium risk measurement
Dynamic Adjustment : Changes with market conditions
Risk-Reward Ratios
Each level displays its R:R ratio considering:
Entry point (fair value or current price)
Target level
Stop loss level
Applied leverage
Recommended Risk Parameters
Conservative Trading
Maximum 1-2% risk per trade
Use 50% of recommended leverage
Target R:R ratios above 2:1
Focus on high-probability setups only
Moderate Trading
Maximum 2-3% risk per trade
Use 75% of recommended leverage
Accept R:R ratios above 1.5:1
Trade multiple setups with correlation awareness
Aggressive Trading
Maximum 3-5% risk per trade
Use up to 100% of recommended leverage
Accept R:R ratios above 1:1
Active management required
Alert System
Structure Alerts
Fair Value Structure Bullish : When structure turns bullish
Fair Value Structure Bearish : When structure turns bearish
Level Interaction Alerts
For each premium and discount level:
Touch Alerts : When price reaches the level
Cross Above : When price breaks above the level
Cross Below : When price breaks below the level
Range Alerts
Rising into FV : Price enters fair value range from below
Falling into FV : Price enters fair value range from above
Rising Above FV : Price breaks above fair value range
Falling Below FV : Price breaks below fair value range
Setting Up Alerts
Enable desired alert types in indicator settings
Create TradingView alerts using the indicator
Configure notification methods (email, SMS, app)
Test alerts with historical data first
Customization Options
Color Schemes
Fair Value Colors : Customize based on structure bias
Premium/Discount Colors : Match your chart theme
Dynamic Coloring : Automatically adjusts based on price position
Label Customization
Text Transparency : Adjust readability
Background Transparency : Control label prominence
Size Options : From tiny to large based on chart size
Position Options : Multiple screen positions available
Table Settings
Position : 9 different screen positions
Size : 4 size options for different screen resolutions
Transparency : Adjust for chart readability
Best Practices
Chart Setup Recommendations
Screen Real Estate Management
Use larger timeframes for cleaner appearance
Minimize lower timeframe labels on smaller screens
Position risk-reward table to avoid price action interference
Multi-Timeframe Analysis
Keep one chart with higher timeframe focus
Use secondary chart for lower timeframe entries
Synchronize timeframe selection across charts
Trading Psychology Integration
Patience with Structure
Wait for clear structure bias before trading
Avoid trading during structure transition periods
Respect the higher timeframe bias
Risk Management Discipline
Never ignore the calculated risk percentages
Use leverage recommendations as guidelines, not rules
Adjust position sizes based on market conditions
Entry Timing
Use lower timeframes for precise entries
Wait for price to reach significant levels
Confirm entries with additional confluence factors
Common Mistakes to Avoid
Over-Analysis
Don't wait for perfect setups that may never come
Focus on high-probability scenarios
Accept that not every level will hold
Ignoring Structure Bias
Don't fight the overall structure direction
Adjust strategies when structure changes
Respect multi-timeframe alignment
Poor Risk Management
Never risk more than the indicator suggests
Don't ignore stop loss levels
Avoid emotional position sizing
Advanced Techniques
Structure Transition Trading
Identify when structure is changing
Position for new bias direction
Use tight risk management during transitions
Level Confluence
Look for multiple level alignments
Combine with support/resistance
Use volume analysis for confirmation
Seasonal and Market Hour Awareness
Adjust for different market sessions
Consider seasonal patterns in structure
Account for economic calendar events
Conclusion
The Fundur - Trend Trader indicator represents a comprehensive approach to modern technical analysis, combining traditional pivot point methodology with advanced fair value structure analysis. By following the guidelines in this manual and adapting the settings to your trading style, you can harness the full power of this indicator for more informed and profitable trading decisions.
Remember that no indicator is perfect, and the Trend Trader should be used as part of a complete trading strategy that includes fundamental analysis, risk management, and proper psychology. Start with conservative settings and gradually increase sophistication as you become more familiar with the indicator's behavior in different market conditions.
For best results, practice with the indicator in demo accounts first, understand its behavior in various market conditions, and always prioritize risk management over profit potential.
TrendZonesTrendZones
This is an indicator which I use, have tested, tweaked and added features to for use in my trend following investing system. I got the idea for it when for some reason I was looking for a dynamic reference to measure the height of a channel or something. In search of this I made MA’s of the high and low borders of a Donchian channel which turned out to be two near parallel and stunningly smooth curves. This visual was so appealing that I immediately tried to turn it into a replacement for the KeltCOG which I previously used in my system. First I created a curve in the middle of the upper and lower curves, which I called COG (Center Of Gravity). Then I decided to enter only one lookback and let the script create a Donchian channel with half the lookback and use this to create the curves with an MA of whole lookback. For this reason the minimum lookback is set to 14, enough room for the Donchian Channel of 7 periods. This Donchian ChanneI has a special way of calculating the borders, involving a 5 period Median value. Thanks to this these borders are really a resistance and support level, which won’t change at a whim, e.g. when a ‘dead cat bounce’ occurs. I prevented the Donchian channel to show itself between the curves and only pop out from behind these. These pop outs now function as “strong trend zones”. I gave it colors (blue:-strong up, green: moderate up, orange: moderate down, red: strong down, near COG: gray, curves horizontal: gray) and it looked very appealing. I tested it in different time frames. In some weekend, when I was bored, I observed for a few hours the minute chart of bitcoin. It turned out that you can reliably tell that an uptrend ends when the candles go under the COG beginning a downtrend. Uptrend starts again once the candles go above COG. As Trends on minute charts only last around half an hour, this entertainment made the potential of this indicator very clear to me in just one afternoon.
Risk Management, Safe Level and Logical Stops.
In the inputs are settings for “Risk Tolerance”, and to activate “Show Logical Stop Level” (activated in example chart) and “Show Safe Level”. As a rule of thump a trade should not expose the invested capital to a risk of losing more than 2 percent. I divided my investment capital in ten equal parts which are allocated to ten different stocks or other instruments or kept liquid. This means that when a position is closed by triggering a Stop with a loss of 20 percent, the invested capital suffers only 2 percent (20% x 10% = 2%). This is why the value for “Risk Tolerance” has a default of 20. Because I put my Stops on the lower curve, a “Safe Level” can be calculated such that when you buy for a price below or at this level, the stop will protect the position sufficiently. Because I only buy when the instrument is in uptrend, the buying price should be between COG and Safe Level. Although I never do that, putting the stop at other curves is feasible and when you want to widen the stop (I never lower my stops btw) in a downtrend situation, even 1 ATR below the “Low Border”. I call these “Logical Stop Levels”, marked with dark green circles on the lower curve when safe buying by placing the Stoploss on this curve is possible, gray circles on the other curves, on the Upper Curve navy when price enters very profitable level. In a downtrend situation maroon circles appear.
Target lines
When I open a position I always set a Stoploss and a Target, for this purpose two types of Target values can be set and corresponding Target lines activated. These lines are drawn above the “High Border” at the set distance. If one expects some price to be used, differences will occur.
Other Features
Support Zone, this is 1 ATR below the “Low Border”, the maroon circles of the “Logal Stops” are placed on this “Support level”.
Stop distance and Channel Width. (activated in example chart) These are reported in a two cell table in the right lower corner of the main panel. I created this because I want to be able to check the volatility, whether the channel shows a situation in which safe buying in most levels of the channel is possible or what risk you take when you buy now and set the Stop at the nearest logical level (which is not always the “Lower curve”). This feature comes in handy for creating a setup I propose in the “Day Trading Fantasy” below.
Some General and User Settings. I never activate this, perhaps you will.
Use Of TrendZones In My System.
Create a list of stocks in uptrend. I define ‘stock in uptrend’ as in uptrend zone in all three monthly, weekly and daily charts, all three should at the same time be in uptrend. The advantage of TrendZones is that you can immediately see in which zone the candle moves.
Opening a position in a stock from the above list. I do this only when in both the daily and weekly the green dot on the lower curve indicates a buying opportunity. This is usually not the case in most of the items of the list, this feature thus provides a good timing for opening a position. Sometimes you need to wait a few weeks for this to happen.
Setting a target over a position. For this I use the Target percent line of the weekly chart with the default value of 10.
Updating the Stoploss and Target values. Every week or two weeks I set these to the new values of the “Lower Curve” and the Target line of the weekly. Attention: never shift down Stops, only up or let them stay the same when the curve moves down. I never use Stop levels on other curves.
I Check the charts whenever I like to do this. Close the position when the uptrend obviously shifts down. Otherwise I let the profits run until the Target triggers which closes the position with some profit.
For selecting stocks an checking charts for volume events, I also use a subpanel indicator called “TZanalyser”, which borrows the visual of my “Fibonacci Zone Oscillator”, is based on TrendZones and includes code from my REVE indicators. I intend to publish that as well.
Day Trading Fantasy.
Day trading is an attempt to earn a dime by opening a position in the morning and close it during the day again with a profit (or a loss). Before the market closes, you close all day trading positions.
In my fantasy the “Logical Stop Level” is repurposed for use as entry point and the ATR-based Target line is used to provide a target setting in an intraday chart, like e.g. 15 minute. To do this the “Safe Level” should be limited to between Channel width and COG. This can be done by showing “Safe Level” and “Channel Width” and then set “Risk Tolerance” to around the shown Channel Width. In this setting you can then wait for the green circle to show up for entering your trade and protect it with the stop.
I don’t know if this works fine or if it’s better than other day trade systems, because I don’t do day trading.
Take care and have fun.
Automated Scalping Signals with TP/SL Indicator [QuantAlgo]🟢 Overview
The Automated Scalping Signals with Take Profit & Stop Loss Indicator is a multi-timeframe trading system that combines market structure analysis with directional bias filtering to identify potential scalping opportunities. It detects Points of Interest (POI) including Fair Value Gaps (FVG) and Order Blocks (OB) while cross-referencing entries with higher timeframe exponential moving average positioning to create systematic entry conditions.
The indicator features adaptive timeframe calculations that automatically scale analysis periods based on your chart timeframe, maintaining consistent analytical relationships across different trading sessions. It provides integrated trade management with stop loss calculation methods, configurable risk-reward ratios, and real-time performance tracking through dashboard displays showing trade statistics, bias direction, and active position status.
This advanced system is designed for low timeframe trading, typically performing optimally on 1 to 15-minute charts across popular instruments such as OANDA:XAUUSD , CME_MINI:MES1! , CME_MINI:ES1! , CME_MINI:MNQ1! , CBOT_MINI:YM1! , CBOT_MINI:MYM1! , BYBIT:BTCUSDT.P , BYBIT:ETHUSDT.P , or any asset and timeframe of your preference.
🟢 How It Works
The indicator operates using a dual-timeframe mathematical framework where higher timeframe exponential moving averages establish directional bias through cross-over analysis, while simultaneously scanning for specific market structure patterns on the POI timeframe. The timeframe calculation engine uses multiplication factors to determine analysis periods, ensuring the bias timeframe provides trend context while the POI timeframe captures structural formations.
The structural analysis begins with FVG detection, which systematically scans price action to identify imbalances where gaps exist between consecutive candle ranges with no overlapping wicks. When such gaps are detected, the algorithm measures their size against minimum thresholds to filter out insignificant formations. Concurrently, OB recognition analyzes three-candle sequences, examining specific open/close relationships that indicate potential institutional accumulation zones. Once these structural patterns are identified, the algorithm cross-references them against the higher timeframe bias direction, creating a validation filter that only permits entries aligned with the prevailing EMA cross-over state. When price subsequently intersects these validated POI zones, entry signals generate with the system calculating entry levels at zone midpoints, then applying the selected stop loss methodology combined with the configured risk-reward ratio to determine take profit placement.
To mirror realistic trading conditions, the indicator incorporates configurable slippage calculations that account for execution differences between intended and actual fill prices. When trades reach their take profit or stop loss levels, the algorithm applies slippage adjustments that worsen the exit prices in a conservative manner - reducing take profit fills and increasing stop loss impact. This approach ensures backtesting results reflect more realistic performance expectations by accounting for spread costs, market volatility during execution, and liquidity constraints that occur in live trading environments.
It also has a performance dashboard that continuously tracks and displays comprehensive trading metrics:
1/ Bias TF / POI TF: Displays the calculated timeframes used for bias analysis and POI detection, showing the actual periods (e.g., "15m / 5m") that result from the multiplier settings to confirm proper adaptive timeframe selection
2/ Bias Direction: Shows current market trend assessment (Bullish, Bearish, or Sideways) derived from EMA cross-over analysis to indicate which trade directions align with prevailing momentum
3/ Data Processing: Indicates how many price bars have been analyzed by the system, helping users verify if complete historical data has been processed for comprehensive strategy validation
4/ Total Trades: Displays the cumulative number of completed trades plus any active positions, providing volume assessment for statistical significance of other metrics
5/ Wins/Losses: Shows the raw count of profitable versus unprofitable trades, offering immediate insight into strategy effectiveness frequency
6/ Win Rate: Reveals the percentage of successful trades, where values above 50% generally indicate effective entry timing and values below suggest strategy refinement needs
7/ Total R-Multiple: Displays cumulative risk-reward performance across all trades, with positive values demonstrating profitable system operation and negative values indicating net losses requiring analysis
8/ Average R Win/Loss: Shows average risk-reward ratios for winning and losing trades separately, where winning averages approaching the configured take profit ratio indicate minimal slippage impact while losing averages near -1.0 suggest effective stop loss execution
9/ TP Ratio / Slippage: Displays the configured take profit ratio and slippage settings with calculated performance impact, showing how execution costs affect actual versus theoretical returns
10/ Profit Factor: Calculates the ratio of total winning amounts to total losing amounts, where values above 1.5 suggest robust profitability, values between 1.0-1.5 indicate modest success, and values below 1.0 show net losses
11/ Maximum Drawdown: Tracks the largest peak-to-trough decline in R-multiple terms, with smaller negative values indicating better capital preservation and risk control during losing streaks
🟢 How to Use
Start by applying the indicator to your chart and observe its performance across different market conditions to understand how it identifies bias direction and POI formations. Then navigate to the settings panel to configure the Bias Timeframe Multiplier for trend context sensitivity and POI Timeframe Multiplier for structural analysis frequency according to your trading preference and objectives.
Next, fine-tune the EMA periods in Bias Settings to control trend detection sensitivity and select your preferred POI types based on your analytical preference. Proceed to configure your Risk Management approach by selecting from the available stop loss calculation methods and setting the Take Profit ratio that aligns with your risk tolerance and profit objectives. Complete the setup by customizing Display Settings to control table visibility and trade visualization elements, adjusting UI positioning and colors for optimal chart readability, then activate Alert Conditions for automated notifications on trade entries, exits, and bias direction changes to support systematic trade management.
🟢 Examples
OANDA:XAUUSD
CME_MINI:MES1!
CME_MINI:ES1!
CME_MINI:MNQ1!
CBOT_MINI:YM1!
BYBIT:BTCUSDT.P
BINANCE:SOLUSD
*Disclaimer: Past performance is not indicative of future results. None of our statements, claims, or signals from our indicators are intended to be financial advice. All trading involves substantial risk of loss, not just upside potential. Users are highly recommended to carefully consider their financial situation and risk tolerance before trading.
Money Risk Management with Trade Tracking
Overview
The Money Risk Management with Trade Tracking indicator is a powerful tool designed for traders on TradingView to simplify trade simulation and risk management. Unlike the TradingView Strategy Tester, which can be complex for beginners, this indicator provides an intuitive, beginner-friendly interface to evaluate trading strategies in a realistic manner, mirroring real-world trading conditions.
Built on the foundation of open-source contributions from LuxAlgo and TCP, this indicator integrates external indicator signals, overlays take-profit (TP) and stop-loss (SL) levels, and provides detailed money management analytics. It empowers traders to visualize potential profits, losses, and risk-reward ratios, making it easier to understand the financial outcomes of their strategies.
Key Features
Signal Integration: Seamlessly integrates with external long and short signals from other indicators, allowing traders to overlay TP/SL levels based on their preferred strategies.
Realistic Trade Simulation: Simulates trades as they would occur in real-world scenarios, accounting for initial capital, risk percentage, leverage, and compounding effects.
Money Management Dashboard: Displays critical metrics such as current capital, unrealized P&L, risk amount, potential profit, risk-reward ratio, and trade status in a customizable, beginner-friendly table.
TP/SL Visualization: Plots TP and SL levels on the chart with customizable styles (solid, dashed, dotted) and colors, along with optional labels for clarity.
Performance Tracking: Tracks total trades, win/loss counts, win rate, and profit factor, providing a clear overview of strategy performance.
Liquidation Risk Alerts: Warns traders if stop-loss levels risk liquidation based on leverage settings, enhancing risk awareness.
Benefits for Traders
Beginner-Friendly: Simplifies the complexities of the TradingView Strategy Tester, offering an intuitive interface for new traders to simulate and evaluate trades without confusion.
Real-World Insights: Helps traders understand the actual profit or loss potential of their strategies by factoring in capital, risk, and leverage, bridging the gap between theoretical backtesting and real-world execution.
Enhanced Decision-Making: Provides clear, real-time analytics on risk-reward ratios, unrealized P&L, and trade performance, enabling informed trading decisions.
Customizable and Flexible: Allows customization of TP/SL settings, table positions, colors, and sizes, catering to individual trader preferences.
Risk Management Focus: Encourages disciplined trading by highlighting risk amounts, potential profits, and liquidation risks, fostering better financial planning.
Why This Indicator Stands Out
Many traders struggle to translate backtested strategy results into real-world outcomes due to the abstract nature of percentage-based profitability metrics. This indicator addresses that challenge by providing a practical, user-friendly tool that simulates trades with real-world parameters like capital, leverage, and compounding. Its open-source nature ensures accessibility, while its integration with other indicators makes it versatile for various trading styles.
How to Use
Add to TradingView: Copy the Pine Script code into TradingView’s Pine Editor and add it to your chart.
Configure Inputs: Set your initial capital, risk percentage, leverage, and TP/SL values in the indicator settings. Select external long/short signal sources if integrating with other indicators.
Monitor Dashboards: Use the Money Management and Target Dashboard tables to track trade performance and risk metrics in real time.
Analyze Results: Review win rates, profit factors, and P&L to refine your trading strategy.
Credits
This indicator builds upon the open-source contributions of LuxAlgo and TCP , whose efforts in sharing their code have made this tool possible. Their dedication to the trading community is deeply appreciated.
Risk Calculator Manual Only### Indicator Name: Risk Calculator Manual Only
Description:
This indicator is designed for manual risk and position size calculation. It helps traders manage risk per trade by clearly displaying key trade parameters on the chart in an easy-to-read table format. The indicator does not auto-calculate entry, stop, or target prices—all values must be entered manually, giving full control to the trader.
Key Features:
- Manual input only: Users manually enter the entry price, stop-loss, and take-profit levels.
- On-chart data table: Displays all calculated metrics in a compact, color-coded table:
- Trade Type: Long or Short, selectable in settings.
- Entry Price, Stop-Loss, Take-Profit: Entered by the user.
- Position Size ($): Automatically calculated based on your risk amount and stop-loss distance.
- Profit ($): Potential profit based on take-profit level.
- Loss ($): Potential loss based on stop-loss level.
- Color coding:
- Profit row is highlighted in green.
- Loss row is highlighted in red.
- Alerts: Optional alerts when price hits the stop-loss or take-profit levels.
How to Use:
1. Enter your planned entry price, stop-loss, and take-profit in the indicator settings.
2. Set your risk amount per trade (in USD).
3. The indicator will calculate the appropriate position size, potential profit, and loss, and display them in a visual table.
4. Enable alerts if you want to be notified when price reaches your stop-loss or take-profit.
Benefits:
- Helps enforce disciplined risk management.
- Visual feedback on key trade metrics, directly on the chart.
- Fast, manual trade planning with no automation—ideal for discretionary traders.
- Supports both long and short trade types.
Notes:
- This tool assumes accurate manual input. It does not auto-detect price levels.
- Best used by traders who prefer full control over their risk setup and calculations.
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Stochastic RSI with MTF TableShort Description of the Script
The provided Pine Script indicator, titled "Stochastic RSI with MTF Table," calculates and displays the Stochastic RSI for the current timeframe and multiple other timeframes (5m, 15m, 30m, 60m, 240m, and daily). The Stochastic RSI is a momentum indicator that blends the Relative Strength Index (RSI) and Stochastic Oscillator to identify overbought and oversold conditions, as well as potential trend reversals via K and D line crossovers.
Key features of the script include:
Inputs: Customizable parameters such as K smoothing (default 3), D smoothing (default 3), RSI length (default 14), Stochastic length (default 14), source price (default close), and overbought/oversold levels (default 80/20).
MTF Table: A table displays the Stochastic RSI status for each timeframe:
"OB" (overbought) if K > 80, "OS" (oversold) if K < 20, or "N" (neutral) otherwise.
Crossovers: "K↑D" for bullish (K crosses above D) and "K↓D" for bearish (K crosses below D).
Visualization: Plots the K and D lines for the current timeframe, with horizontal lines at 80 (overbought), 50 (middle), and 20 (oversold), plus a background fill for clarity.
Table Position: Configurable to appear in one of four chart corners (default: top-right).
This indicator helps traders assess momentum across multiple timeframes simultaneously, aiding in the identification of trend strength and potential entry/exit points.
Trading Strategy with 50EMA and 200EMA for Highest Winning Rate
To create a strategy with the best probability of a high winning rate using the Stochastic RSI MTF indicator alongside the 50-period Exponential Moving Average (50EMA) and 200-period Exponential Moving Average (200EMA), we can combine trend identification with momentum-based entry timing. The 50EMA and 200EMA are widely used to determine medium- and long-term trends, while the Stochastic RSI MTF table provides multi-timeframe momentum signals. Here’s the strategy:
1. Determine the Overall Trend
Bullish Trend: The 50EMA is above the 200EMA on the current timeframe (e.g., daily or 60m chart). This suggests an uptrend, often associated with a "Golden Cross."
Bearish Trend: The 50EMA is below the 200EMA on the current timeframe. This indicates a downtrend, often linked to a "Death Cross."
Implementation: Plot the 50EMA and 200EMA on your chart and visually confirm their relative positions.
2. Identify Entry Signals Using the Stochastic RSI MTF Table
In a Bullish Trend (50EMA > 200EMA):
Look for timeframes in the MTF table showing:
Oversold (OS): K < 20, indicating a potential pullback in the uptrend where price may rebound.
Bullish Crossover (K↑D): K crosses above D, signaling rising momentum and a potential entry point.
Example: If the 60m and 240m timeframes show "OS" or "K↑D," this could be a buy signal.
In a Bearish Trend (50EMA < 200EMA):
Look for timeframes in the MTF table showing:
Overbought (OB): K > 80, suggesting a rally in the downtrend where price may reverse downward.
Bearish Crossover (K↓D): K crosses below D, indicating declining momentum and a potential short entry.
Example: If the 30m and daily timeframes show "OB" or "K↓D," this could be a sell/short signal.
Current Timeframe Check: Use the plotted K and D lines on your trading timeframe for precise entry timing (e.g., confirm a K↑D crossover on a 60m chart for a long trade).
3. Confirm Signals Across Multiple Timeframes
Strengthen the Signal: A higher winning rate is more likely when multiple timeframes align with the trend and signal. For instance:
Bullish trend + "OS" or "K↑D" on 60m, 240m, and daily = strong buy signal.
Bearish trend + "OB" or "K↓D" on 15m, 60m, and 240m = strong sell signal.
Prioritize Higher Timeframes: Signals from the 240m or daily timeframe carry more weight due to their indication of broader trends, increasing reliability.
4. Set Stop-Loss and Take-Profit Levels
Long Trades (Bullish):
Stop-Loss: Place below the most recent swing low or below the 50EMA, whichever is closer, to protect against trend reversals.
Take-Profit: Target a key resistance level or use a risk-reward ratio (e.g., 2:1 or 3:1) based on the stop-loss distance.
Short Trades (Bearish):
Stop-Loss: Place above the most recent swing high or above the 50EMA, whichever is closer.
Take-Profit: Target a key support level or apply a similar risk-reward ratio.
Trailing Stop Option: As the trend progresses, trail the stop below the 50EMA (for longs) or above it (for shorts) to lock in profits.
5. Risk Management
Position Sizing: Risk no more than 1-2% of your trading capital per trade to minimize losses from false signals.
Volatility Consideration: Adjust stop-loss distances and position sizes based on the asset’s volatility (e.g., wider stops for volatile stocks or crypto).
Avoid Overtrading: Wait for clear alignment between the EMA trend and MTF signals to avoid low-probability setups.
Example Scenario
Chart: 60-minute timeframe.
Trend: 50EMA > 200EMA (bullish).
MTF Table: 60m shows "OS," 240m shows "K↑D," and daily is "N."
Action: Enter a long position when the 60m K line crosses above D, confirming the table signal.
Stop-Loss: Below the recent 60m swing low (e.g., 2% below entry).
Take-Profit: At the next resistance level or a 3:1 reward-to-risk ratio.
Outcome: High probability of success due to trend alignment and multi-timeframe confirmation.
Why This Strategy Works
Trend Following: Trading in the direction of the 50EMA/200EMA trend reduces the risk of fighting the market’s momentum.
Momentum Timing: The Stochastic RSI MTF table pinpoints pullbacks or reversals within the trend, improving entry timing.
Multi-Timeframe Confirmation: Alignment across timeframes filters out noise, increasing the win rate.
Risk Control: Defined stop-loss and position sizing protect against inevitable losses.
Caveats
No strategy guarantees a 100% win rate; false signals can occur, especially in choppy markets.
Test this strategy on historical data or a demo account to verify its effectiveness for your asset and timeframe.
This approach leverages the strengths of both trend-following (EMA) and momentum (Stochastic RSI) tools, aiming for a high-probability, disciplined trading system.
Key Financial index**Basic Indicators** (updates may be delayed by a few weeks after dividend distribution):
1. **P/E Ratio**: *Price-to-Earnings*. This ratio shows the price investors are willing to pay for each unit of profit the company generates.
- A P/E below 8 is considered good, meaning the company yields a 12.5% annual profit, which implies a payback period of 8 years.
2. **P/B Ratio**: *Price-to-Book Ratio*. This is used to compare a company's market value with its book value.
- A low P/B (usually below 1): May indicate that the stock is undervalued compared to the company’s net asset value. This can be a good investment opportunity but may also signal financial trouble.
- A high P/B (usually above 3): May suggest the stock is overvalued relative to the company’s net assets. This could reflect high growth expectations or potential overvaluation.
3. **D/E Ratio**: *Debt-to-Equity Ratio* is a financial metric that measures a company’s financial leverage.
D/E Ratio = Total Liabilities / Shareholders' Equity.
It compares the total liabilities of a company to its equity to indicate how much debt is used to finance its assets compared to shareholder investments.
- D/E Ratio below 1: Generally considered safe.
- D/E Ratio between 1 and 2: May be acceptable depending on the industry.
- D/E Ratio above 2: May indicate high financial risk.
4. **CR Ratio**: *Current Ratio*, an important liquidity metric used to assess a company’s ability to pay off short-term liabilities using its short-term assets.
- CR Ratio > 1: Indicates the company has enough current assets to pay off its short-term debts. The higher the ratio, the better the liquidity position.
- CR Ratio < 1: Suggests the company may face difficulties in meeting short-term obligations. This can be a red flag for financial stability.
5. **Profit Margin**: A key financial indicator that measures a company’s profitability relative to its revenue. It shows what percentage of revenue remains after all related costs are deducted.
**General significance of Profit Margin**:
- **Operational Efficiency**: A high profit margin indicates efficient cost management and the ability to generate strong profits from revenue.
- **Industry Comparison**: Comparing a company’s profit margin with its industry peers helps assess its competitive position and relative performance.
**Note**:
- There is no single “good” margin across all industries. Each industry has different cost structures and competition levels, leading to varying average margins.
- When analyzing profit margins, one must consider the industry context, the company’s business model, and market trends.
6. **Growth Expectation ↑**: This refers to the expected profit growth. The percentage figure reflects how much growth the market expects the company to achieve in the next financial report based on the current stock price.
- The lower the expected growth rate (typically below 15%), the safer the current price is considered.
- A high expected growth rate may indicate that the market anticipates a profit breakthrough or that the stock is trading above its intrinsic value relative to actual earnings.
Mile Runner - Swing Trade LONGMile Runner - Swing Trade LONG Indicator - By @jerolourenco
Overview
The Mile Runner - Swing Trade LONG indicator is designed for swing traders who focus on LONG positions in stocks, BDRs (Brazilian Depositary Receipts), and ETFs. It provides clear entry signals, stop loss, and take profit levels, helping traders identify optimal buying opportunities with a robust set of technical filters. The indicator is optimized for daily candlestick charts and combines multiple technical analysis tools to ensure high-probability trades.
Key Features
Entry Signals: Visualized as green triangles below the price bars, indicating a potential LONG entry.
Stop Loss and Take Profit Levels: Automatically plotted on the chart for easy reference.
Stop Loss: Based on the most recent pivot low (support level).
Take Profit: Calculated using a Fibonacci-based projection from the entry price to the stop loss.
Trend and Momentum Filters: Ensures trades align with the prevailing trend and have sufficient momentum.
Volume and Volatility Confirmation: Verifies market interest and price movement potential.
How It Works
The indicator uses a combination of technical tools to filter and confirm trade setups:
Exponential Moving Averages (EMAs):
A short EMA (default: 9 periods) and a long EMA (default: 21 periods) identify the trend.
A bullish crossover (EMA9 crosses above EMA21) signals a potential upward trend.
Money Flow Index (MFI):
Confirms buying pressure when MFI > 50.
Average True Range (ATR):
Ensures sufficient volatility by checking if ATR exceeds its 20-period moving average.
Volume:
Confirms market interest when volume exceeds its 20-period moving average.
Pivot Lows:
Identifies recent support levels (pivot lows) to set the stop loss.
Ensures the pivot low is recent (within the last 10 bars by default).
Additional Trend Filter:
Confirms the long EMA is rising, reinforcing the bullish trend.
Inputs and Customization
The indicator is highly customizable, allowing traders to tailor it to their strategies:
EMA Periods: Adjust the short and long EMA lengths.
ATR and MFI Periods: Modify lookback periods for volatility and momentum.
Pivot Lookback: Control the sensitivity of pivot low detection.
Fibonacci Level: Adjust the Fibonacci retracement level for take profit.
Take Profit Multiplier: Fine-tune the aggressiveness of the take profit target.
Max Pivot Age: Set the maximum bars since the last pivot low for relevance.
Usage Instructions
Apply the Indicator:
Add the "Mile Runner - Swing Trade LONG" indicator to your TradingView chart.
Best used on daily charts for swing trading.
Look for Entry Signals:
A green triangle below the price bar signals a potential LONG entry.
Set Stop Loss and Take Profit:
Stop Loss: Red dashed line indicating the stop loss level.
Take Profit: Purple dashed line showing the take profit level.
Monitor the Trade:
The entry price is marked with a green dashed line for reference.
Adjust trade management based on the plotted levels.
Set Alerts:
Use the built-in alert condition to get notified of new LONG entry signals.
Important Notes
For LONG Positions Only : Designed exclusively for swing trading LONG positions.
Timeframe: Optimized for daily charts but can be tested on other timeframes.
Asset Types: Works best with stocks, BDRs, and ETFs.
Risk Management: Always align stop loss and take profit levels with your risk tolerance.
Why Use Mile Runner?
The Mile Runner indicator simplifies swing trading by integrating trend, momentum, volume, and volatility filters into one user-friendly tool. It helps traders:
Identify high-probability entry points.
Establish clear stop loss and take profit levels.
Avoid low-volatility or low-volume markets.
Focus on assets with strong buying pressure and recent support.
By following its signals and levels, traders can make informed decisions and enhance their swing trading performance. Customize the inputs and test it on your favorite assets—happy trading!
RV- Intrinsic Value AnalyzerWhy These Metrics Matter in IVA Pro (Intrinsic Value Analyzer)?
The IVA Pro consolidates key valuation, profitability, and efficiency metrics into a single, easy-to-read table. These indicators provide a comprehensive view of a company’s financial health, helping traders and investors make informed decisions based on growth potential, profitability, and valuation. The color-coded signals (green for strong, orange for moderate, and red for weak values) simplify fundamental analysis and enable quick comparisons across different stocks.
Key Fundamental Parameters in IVA Pro
Market Capitalization (Market Cap): Measures a company's total market value, helping assess size, stability, and growth potential.
Earnings Yield (TTM): Indicates how much profit a company generates relative to its stock price—useful for comparing against bonds and other assets.
Return on Capital Employed (ROCE): Shows how efficiently a company generates profits using its capital—a key profitability metric.
Return on Equity (ROE): Evaluates how well a company uses shareholder funds to generate earnings.
Price-to-Earnings Ratio (PE): Helps determine whether a stock is overvalued or undervalued based on earnings.
Price-to-Book Ratio (PB): Assesses if a stock is trading above or below its net asset value—useful for asset-heavy industries.
Price-to-Sales Ratio (PS): Helps evaluate revenue potential, particularly for growth-stage companies.
PEG Ratio: Enhances PE ratio by factoring in earnings growth—ideal for identifying undervalued growth stocks.
Forward PE Ratio: Provides a future-looking valuation based on projected earnings.
Forward PS Ratio: Helps evaluate future revenue potential and overall stock valuation.
Trade SafeTrade Safe: The Ultimate Discipline Tool for Traders
Are you tired of overtrading, revenge trading, or letting emotions ruin your trading plan? Trade Safe is here to transform your trading psychology and help you achieve consistent profitability. Unlike traditional indicators that focus solely on market analysis, Trade Safe addresses the number one reason traders fail: lack of discipline.
With its innovative features, Trade Safe enforces strict trading rules, prevents emotional decision-making, and helps you stick to your plan—no matter how volatile the markets get. If you're serious about becoming a disciplined and profitable trader, this is the tool you've been waiting for.
Enforces Trading Discipline:
Trade Safe ensures you stick to your daily trading plan by visually blocking your charts after a predetermined number of trades or a stop-loss, Take profit event.
No more overtrading or deviating from your strategy—Trade Safe keeps you in check.
Eliminates Emotional Trading:
The screen block feature prevents you from seeing the candles after a loss, helping you avoid the emotional spiral of "tilt" and revenge trading.
This unique approach focuses on the psychological side of trading, which is often overlooked by other tools.
Simple and Intuitive Interface:
Easily set your stop-loss and take-profit level with the red line marker for stop-loss and green for take-profit and choose between long or short positions with just a few clicks.
Trade Safe is designed to be user-friendly, so you can focus on trading without distractions.
Customizable for All Trading Styles:
Whether you're a scalper, swing trader, or long-term investor, Trade Safe can be tailored to fit your strategy.
Set your stop-loss and take-profit, and let Trade Safe handle the rest.
Prevents Revenge Trading:
By locking your screen after a stop-loss, Trade Safe eliminates the temptation to "make back" losses through impulsive trades.
This helps you break the cycle of emotional trading and stay focused on your long-term goals.
Builds Healthy Trading Habits:
Trade Safe encourages you to walk away after a loss, reinforcing the importance of patience and discipline.
SL Hunting Detector📌 Step 1: Identify Liquidity Zones
The script plots high-liquidity zones (red) and low-liquidity zones (green).
These are areas where big players target stop-losses before reversing the price.
Example:
If price is near a red liquidity zone, expect a potential stop-loss hunt & reversal downward.
If price is near a green liquidity zone, expect a potential stop-loss hunt & reversal upward.
📌 Step 2: Watch for Stop-Loss Hunts (Fakeouts)
The indicator marks stop-loss hunts with red (bearish) or green (bullish) arrows.
When do stop-loss hunts occur?
✅ A long wick below support (with high volume) = Stop hunt before reversal upward.
✅ A long wick above resistance (with high volume) = Stop hunt before reversal downward.
Confirmation:
Volume must spike (volume > 1.5x the average volume).
ATR-based wicks must be longer than usual (showing a stop-hunt trap).
📌 Step 3: Enter a Trade After a Stop-Hunt
🔹 Bullish Trade (Buying a Dip)
If a green arrow appears (stop-hunt below support):
✅ Enter a long (buy) trade at or just above the wick’s recovery level.
✅ Stop-loss: Below the wick’s low (avoid getting hunted again).
✅ Take-profit: Next resistance level or mid-range of the liquidity zone.
🔹 Bearish Trade (Shorting a Fakeout)
If a red arrow appears (stop-hunt above resistance):
✅ Enter a short (sell) trade at or just below the wick’s rejection level.
✅ Stop-loss: Above the wick’s high (avoid getting stopped out).
✅ Take-profit: Next support level or mid-range of the liquidity zone.
📌 Step 4: Set Alerts & Automate
✅ The indicator triggers alerts when a stop-hunt is detected.
✅ You can set TradingView to notify you instantly when:
A bullish stop-hunt occurs → Look for long entry.
A bearish stop-hunt occurs → Look for short entry.
📌 Example Trade Setup
Example (BTC Long Trade on Stop-Hunt)
BTC is near $40,000 support (green liquidity zone).
A long wick drops to $39,800 with a green arrow (bullish stop-hunt signal).
Volume spikes, and price recovers quickly back above $40,000.
Trade entry: Buy at $40,050.
Stop-loss: Below wick ($39,700).
Take-profit: $41,500 (next resistance).
Result: BTC pumps, stop-loss remains safe, and trade profits.
🔥 Final Tips
Always wait for confirmation (don’t enter blindly on signals).
Use higher timeframes (15m, 1H, 4H) for better accuracy.
Combine with Order Flow tools (like Bookmap) to see real liquidity zones.
🚀 Now try it on TradingView! Let me know if you need adjustments. 📈🔥
High-Probability IndicatorExplanation of the Code
Trend Filter (EMA):
A 50-period Exponential Moving Average (EMA) is used to determine the overall trend.
trendUp is true when the price is above the EMA.
trendDown is true when the price is below the EMA.
Momentum Filter (RSI):
A 14-period RSI is used to identify overbought and oversold conditions.
oversold is true when RSI ≤ 30.
overbought is true when RSI ≥ 70.
Volatility Filter (ATR):
A 14-period Average True Range (ATR) is used to measure volatility.
ATR is multiplied by a user-defined multiplier (default: 2.0) to set a volatility threshold.
Ensures trades are only taken during periods of sufficient volatility.
Entry Conditions:
Long Entry: Price is above the EMA (uptrend), RSI is oversold, and the candle range exceeds the ATR threshold.
Short Entry: Price is below the EMA (downtrend), RSI is overbought, and the candle range exceeds the ATR threshold.
Exit Conditions:
Take Profit: A fixed percentage above/below the entry price.
Stop Loss: A fixed percentage below/above the entry price.
Visualization:
The EMA is plotted on the chart.
Background colors highlight uptrends and downtrends.
Buy and sell signals are displayed as labels on the chart.
Alerts:
Alerts are triggered for buy and sell signals.
How to Use the Indicator
Trend Filter:
Only take trades in the direction of the trend (e.g., long in an uptrend, short in a downtrend).
Momentum Filter:
Look for oversold conditions in an uptrend for long entries.
Look for overbought conditions in a downtrend for short entries.
Volatility Filter:
Ensure the candle range exceeds the ATR threshold to avoid low-volatility trades.
Risk Management:
Use the built-in take profit and stop loss levels to manage risk.
Optimization Tips
Backtesting:
Test the indicator on multiple timeframes and assets to evaluate its performance.
Adjust the input parameters (e.g., EMA length, RSI length, ATR multiplier) to optimize for specific markets.
Combination with Other Strategies:
Add additional filters, such as volume analysis or support/resistance levels, to improve accuracy.
Risk Management:
Use proper position sizing and risk-reward ratios to maximize profitability.
Disclaimer
No indicator can guarantee an 85% win ratio due to the inherent unpredictability of financial markets. This script is provided for educational purposes only. Always conduct thorough backtesting and paper trading before using any strategy in live trading.
Let me know if you need further assistance or enhancements!
Scalping trading system based on 4 ema linesScalping Trading System Based on 4 EMA Lines
Overview:
This is a scalping trading strategy built on signals from 4 EMA moving averages: EMA(8), EMA(12), EMA(24) and EMA(72).
Conditions:
- Time frame: H1 (1 hour).
- Trading assets: Applicable to major currency pairs with high volatility
- Risk management: Use a maximum of 1-2% of capital for each transaction. The order holding time can be from a few hours to a few days, depending on the price fluctuation amplitude.
Trading rules:
Determine the main trend:
Uptrend: EMA(8), EMA(12) and EMA(24) are above EMA(72).
Downtrend: EMA(8), EMA(12) and EMA(24) are below EMA(72).
Trade in the direction of the main trend** (buy in an uptrend and sell in a downtrend).
Entry conditions:
- Only trade in a clearly trending market.
Uptrend:
- Wait for the price to correct to the EMA(24).
- Enter a buy order when the price closes above the EMA(24).
- Place a stop loss below the bottom of the EMA(24) candle that has just been swept.
Downtrend:
- Wait for the price to correct to the EMA(24).
- Enter a sell order when the price closes below the EMA(24).
- Place a stop loss above the top of the EMA(24) candle that has just been swept.
Take profit and order management:
- Take profit when the price moves 20 to 40 pips in the direction of the trade.
Use Trailing Stop to optimize profits instead of setting a fixed Take Profit.
Note:
- Do not trade within 30 minutes before and after the announcement of important economic news, as the price may fluctuate abnormally.
Additional filters:
To increase the success rate and reduce noise, this strategy uses additional conditions:
1. The price is calculated only when the candle closes (no repaint).
2. When sweeping through EMA(24), the price needs to close above EMA(24).
3. The closing price must be higher than 50% of the candle's length.
4. **The bottom of the candle sweeping through EMA(24) must be lower than the bottom of the previous candle (liquidity sweep).
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Alert function:
When the EMA(24) sweep conditions are met, the system will trigger an alert if you have set it up.
- Entry point: The closing price of the candle sweeping through EMA(24).
- Stop Loss:
- Buy Order: Place at the bottom of the sweep candle.
- Sell Order: Place at the top of the sweep candle.
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Note:
This strategy is designed to help traders identify profitable trading opportunities based on trends. However, no strategy is 100% guaranteed to be successful. Please test it thoroughly on a demo account before using it.
CHAKRA RISS ENGULFING CANDLESTICK STRATEGYChakra RISS Engulfing Candlestick Strategy
Type: Technical Indicator & Strategy
Platform: TradingView
Script Version: Pine Script v6
Overview:
The Chakra RISS Engulfing Candlestick Strategy combines a momentum-based approach using the Relative Strength Index (RSI) with Engulfing Candlestick Patterns to generate buy and sell signals. The strategy filters trades based on price movement relative to a 50-period Simple Moving Average (SMA), making it a trend-following strategy.
The indicator uses color-coded bars to visually represent market conditions, helping traders easily identify bullish and bearish trends. The strategy is designed to be dynamic, adapting to changing market conditions and filtering out noise using key technical indicators.
How It Works:
RSI-Based Color Conditions:
Green Bars: When the RSI crosses above a specified UpLevel (default: 50), indicating a bullish momentum and signaling potential buy conditions.
Red Bars: When the RSI crosses below a specified DownLevel (default: 50), indicating a bearish momentum and signaling potential sell conditions.
Buy Signal:
Triggered when the following conditions are met:
RSI crosses from below the UpLevel (default: 50) to above it, signaling increasing bullish momentum.
The close price is above the 50-period Simple Moving Average (SMA), confirming an uptrend.
The Buy Signal is plotted below the bar with a green arrow and a "BUY" label.
Sell Signal:
Triggered when the following conditions are met:
RSI crosses from above the DownLevel (default: 50) to below it, signaling increasing bearish momentum.
The close price is below the 50-period Simple Moving Average (SMA), confirming a downtrend.
The Sell Signal is plotted above the bar with a red arrow and a "SELL" label.
Stop Loss and Take Profit:
For long trades (buy signals), the stop loss is placed below the previous bar's low, and the take profit is set at 3% above the entry price.
For short trades (sell signals), the stop loss is placed above the previous bar's high, and the take profit is set at 3% below the entry price.
Dynamic Bar Coloring:
The bar colors change dynamically based on RSI levels:
Green Bars: Indicating a potential uptrend (bullish).
Red Bars: Indicating a potential downtrend (bearish).
These visual cues help traders quickly identify market trends and potential reversals.
Trend Filtering:
The 50-period Simple Moving Average (SMA) is used to filter trades based on the overall market trend:
Buy signals are only considered when the price is above the moving average, indicating an uptrend.
Sell signals are only considered when the price is below the moving average, indicating a downtrend.
Alerting System:
Alerts can be set for both buy and sell signals. These alerts notify traders in real-time when potential trades are generated, allowing them to act promptly.
Alerts can be configured to send notifications through email, SMS, or a webhook for integration with other services like IFTTT or Zapier.
Key Features:
RSI and Moving Average-Based Signals: Combines RSI with a moving average for more accurate trade signals.
Stop Loss and Take Profit: Dynamic risk management with custom stop loss and take profit levels based on previous high and low prices.
Buy and Sell Alerts: Provides real-time alerts when a buy or sell signal is triggered.
Trend Confirmation: Uses the 50-period Simple Moving Average to filter signals and confirm the direction of the trend.
Visual Bar Color Changes: Makes it easy to identify bullish or bearish trends with color-coded bars.
Usage:
This strategy is suitable for traders who prefer a trend-following approach and want to combine momentum indicators (RSI) with price action (Engulfing Candlestick patterns). It is particularly useful in volatile markets where quick identification of trend changes can lead to profitable trades.
Best Used For: Day trading, swing trading, and trend-following strategies.
Timeframes: Works well on various timeframes, from 1-minute charts for scalping to daily charts for swing trading.
Markets: Can be applied to any market with sufficient liquidity (stocks, forex, crypto, etc.).
Settings:
UpLevel: The RSI level above which the market is considered bullish (default: 50).
DownLevel: The RSI level below which the market is considered bearish (default: 50).
SMA Length: The period of the Simple Moving Average used to filter trades (default: 50).
Risk Management: Customizable stop loss and take profit settings based on price action (default: 3% above/below the entry price).
Puell Multiple BTC | JeffreyTimmermansThe Puell Multiple is a metric that assesses the relationship between mining profitability and market cycles. It is calculated by comparing the daily value of newly issued coins (USD) to the 365-day moving average of daily coin issuance (USD).
This indicator works best on the 1D BTC Chart. When interpreting the Puell Multiple, it can generally be understood as follows:
High values indicate that miner profitability is significantly higher than the yearly average. This may lead to an increased incentive for miners to sell off their holdings, putting additional selling pressure on the market.
Low values suggest that miner profitability is lower than the yearly average. In this case, miners might experience financial strain, causing some to reduce their hash power by shutting down mining rigs. This, in turn, can reduce the number of coins being sold into the market, as remaining miners need to liquidate fewer coins to maintain operations, thereby decreasing the impact on the liquid supply.
The Puell Multiple is a metric used primarily in the cryptocurrency space, specifically for Bitcoin, to assess whether Bitcoin is overvalued or undervalued in relation to its mining rewards. It helps to gauge the profitability of miners and, by extension, to assess market conditions.
Use:
This Puell Multiple is invented for Long-Term, Trend Following Systems.
The Puell Multiple trend can be visualized through the color of the bars, which represents the direction of the trend, while the background indicates the strength of that trend.
Bar Color: The color of the bars typically changes to reflect whether the trend is bullish or bearish. For example, green bars may indicate a strong bullish trend, while red bars signal a bearish or declining trend. The color coding helps to quickly interpret the market's overall movement in relation to mining profitability.
Background Color: The background of the chart is used to reflect the strength of the trend. A darker or more intense background may signify a stronger trend, indicating that the market conditions are more pronounced, while a lighter background can suggest a weaker or more uncertain trend, showing less certainty in the market’s direction.
Together, the combination of bar color and background provides a clearer picture of both the trend's direction and its strength, making it easier to assess potential market behavior based on miner profitability and market cycles.
Puell Multiple and Moving Average: They can be used as an extra tool to confirm the bullish or bearish trend. When the Puell Multiple is above the Moving Average, this will suggest and confirm that the trend is bullish.
How you score this for your own systems is up to you.
-Jeffrey
