Asset Rotation System [InvestorUnknown]Overview
This system creates a comprehensive trend "matrix" by analyzing the performance of six assets against both the US Dollar and each other. The objective is to identify and hold the asset that is currently outperforming all others, thereby focusing on maintaining an investment in the most "optimal" asset at any given time.
- - - Key Features - - -
1. Trend Classification:
The system evaluates the trend for each of the six assets, both individually against USD and in pairs (assetX/assetY), to determine which asset is currently outperforming others.
Utilizes five distinct trend indicators: RSI (50 crossover), CCI, SuperTrend, DMI, and Parabolic SAR.
Users can customize the trend analysis by selecting all indicators or choosing a single one via the "Trend Classification Method" input setting.
2. Backtesting:
Calculates an equity curve for each asset and for the system itself, which assumes holding only the asset deemed optimal at any time.
Customizable start date for backtesting; by default, it begins either 5000 bars ago (the maximum in TradingView) or at the inception of the youngest asset included, whichever is shorter. If the youngest asset's history exceeds 5000 bars, the system uses 5000 bars to prevent errors.
The equity curve is dynamically colored based on the asset held at each point, with this coloring also reflected on the chart via barcolor().
Performance metrics like returns, standard deviation of returns, Sharpe, Sortino, and Omega ratios, along with maximum drawdown, are computed for each asset and the system's equity curve.
3 Alerts:
Supports alerts for when a new, confirmed optimal asset is identified. However, due to TradingView limitations, the specific asset cannot be included in the alert message.
- - - Usage - - -
1. Select Assets/Tickers:
Choose which assets or tickers you want to include in the rotation system. Ensure that all selected tickers are denominated in USD to maintain consistency in analysis.
2. Configure Trend Classification:
Decide on the trend classification method from the available options (RSI, CCI, SuperTrend, DMI, or Parabolic SAR, All) and adjust the settings to your preferences. This customization allows you to tailor the system to different market conditions or your specific trading strategy.
3. Utilize Backtesting for Calibration:
Use the backtesting results, including equity curves and performance metrics, to fine-tune your chosen trend indicators.
Be cautious not to overemphasize performance maximization, as this can lead to overfitting. The goal is to achieve a robust system that performs well across various market conditions, rather than just optimizing for past data.
- - - Parameters - - -
Tickers:
Asset 1: Select the symbol for the first asset.
Asset 2: Select the symbol for the second asset.
Asset 3: Select the symbol for the third asset.
Asset 4: Select the symbol for the fourth asset.
Asset 5: Select the symbol for the fifth asset.
Asset 6: Select the symbol for the sixth asset.
General Settings:
Trend Classification Method: Choose from RSI, CCI, SuperTrend, DMI, PSAR, or "All" to determine how trends are analyzed.
Use Custom Starting Date for Backtest: Toggle to use a custom date for beginning the backtest.
Custom Starting Date: Set the custom start date for backtesting.
Plot Perf. Metrics Table: Option to display performance metrics in a table on the chart.
RSI (Relative Strength Index):
RSI Source: Choose the price data source for RSI calculation.
RSI Length: Set the period for the RSI calculation.
CCI (Commodity Channel Index):
CCI Source: Select the price data source for CCI calculation.
CCI Length: Determine the period for the CCI.
SuperTrend:
SuperTrend Factor: Adjust the sensitivity of the SuperTrend indicator.
SuperTrend Length: Set the period for the SuperTrend calculation.
DMI (Directional Movement Index):
DMI Length: Define the period for DMI calculations.
Parabolic SAR:
PSAR Start: Initial acceleration factor for the Parabolic SAR.
PSAR Increment: Increment value for the acceleration factor.
PSAR Max Value: Maximum value the acceleration factor can reach.
Notes/Recommendations:
While this system is operational, it's important to recognize that it relies on "basic" indicators, which may not be ideal for generating trading signals on their own. I strongly suggest that users delve into the code to grasp the underlying logic of the system. Consider customizing it by integrating more sophisticated and higher-quality trend-following indicators to enhance its performance and reliability.
Disclaimer:
This system's backtest results are historical and do not predict future performance. Use for educational purposes only; not investment advice.
Educational
2022 Model ICT Entry Strategy [TradingFinder] One Setup For Life🔵 Introduction
The ICT 2022 model, introduced by Michael Huddleston, is an advanced trading strategy rooted in liquidity and price imbalance, where time and price serve as the core elements. This ICT 2022 trading strategy is an algorithmic approach designed to analyze liquidity and imbalances in the market. It incorporates concepts such as Fair Value Gap (FVG), Liquidity Sweep, and Market Structure Shift (MSS) to help traders identify liquidity movements and structural changes in the market, enabling them to determine optimal entry and exit points for their trades.
This Full ICT Day Trading Model empowers traders to pinpoint the Previous Day High/Low as well as the highs and lows of critical sessions like the London and New York sessions. These levels act as Liquidity Zones, which are frequently swept prior to a market structure shift (MSS) or a retracement to areas such as Optimal Trade Entry (OTE).
Bullish :
Bearish :
🔵 How to Use
The ICT 2022 model is a sophisticated trading strategy that focuses on identifying key liquidity levels and price movements. It operates based on two main principles. In the first phase, the price approaches liquidity zones and sweeps critical levels such as the previous day’s high or low and key session levels.
This movement is known as a Liquidity Sweep. In the second phase, following the sweep, the price retraces to areas like the FVG (Fair Value Gap), creating ideal entry points for trades. Below is a detailed explanation of how to apply this strategy in bullish and bearish setups.
🟣 Bullish ICT 2022 Model Setup
To use the ICT 2022 model in a bullish setup, start by identifying the Previous Day High/Low or key session levels, such as those of the London or New York sessions. In a bullish setup, the price usually moves downward first, sweeping the Liquidity Low. This move, known as a Liquidity Sweep, reflects the collection of buy orders by major market participants.
After the liquidity sweep, the price should shift market structure and start moving upward; this shift, referred to as Market Structure Shift (MSS), signals the beginning of an upward trend. Following MSS, areas like FVG, located within the Discount Zone, are identified. At this stage, the trader waits for the price to retrace to these zones. Once the price returns, a long trade is executed.
Finally, the stop-loss should be set below the liquidity low to manage risk, while the take-profit target is usually placed above the previous day’s high or other identified liquidity levels. This structure enables traders to take advantage of the upward price movement after the liquidity sweep.
🟣 Bearish ICT 2022 Model Setup
To identify a bearish setup in the ICT 2022 model, begin by marking the Previous Day High/Low or key session levels, such as the London or New York sessions. In this scenario, the price typically moves upward first, sweeping the Liquidity High. This move, known as a Liquidity Sweep, signifies the collection of sell orders by key market players.
After the liquidity sweep, the price should shift market structure downward. This movement, called the Market Structure Shift (MSS), indicates the start of a downtrend. Following MSS, areas such as FVG, found within the Premium Zone, are identified. At this stage, the trader waits for the price to retrace to these areas. Once the price revisits these zones, a short trade is executed.
In this setup, the stop-loss should be placed above the liquidity high to control risk, while the take-profit target is typically set below the previous day’s low or another defined liquidity level. This approach allows traders to capitalize on the downward price movement following the liquidity sweep.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT 2022 model is a comprehensive and advanced trading strategy designed around key concepts such as liquidity, price imbalance, and market structure shifts (MSS). By focusing on the sweep of critical levels such as the previous day’s high/low and important trading sessions like London and New York, this strategy enables traders to predict market movements with greater precision.
The use of tools like FVG in this model helps traders fine-tune their entry and exit points and take advantage of bullish and bearish trends after liquidity sweeps. Moreover, combining this strategy with precise timing during key trading sessions allows traders to minimize risk and maximize returns.
In conclusion, the ICT 2022 model emphasizes the importance of time and liquidity, making it a powerful tool for both professional and novice traders. By applying the principles of this model, you can make more informed trading decisions and seize opportunities in financial markets more effectively.
IU Range Trading StrategyIU Range Trading Strategy
The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management.
User Inputs:
- Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10).
- ATR Length: Sets the length of the ATR calculation (default: 14).
- ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00).
Entry Conditions:
1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR.
2. Once a valid range is formed:
- A long trade is triggered at the range high.
- A short trade is triggered at the range low.
Exit Conditions:
1. Trailing Stop-Loss:
- The stop-loss adjusts dynamically using ATR targets.
- The strategy locks in profits as the trade moves in your favor.
2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making.
Features:
- Automated box creation to visualize the trading range.
- Supports one position at a time, canceling opposite-side entries.
- ATR-based trailing stop-loss for effective risk management.
- Clear visual representation of stop-loss and take-profit levels with colored bands.
This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Another ideait's an indicator for educational, contains array and stuff, but it's not over all since it's for study from my real project, it's going to be very complicated but I've made description for it already
BTC/USD Gaussian Channel 1 Day Chart - Foneysmiles v1.0 Cryptocurrency trading strategy specifically designed for BTC/USD on a daily timeframe.
Strategy Framework:
Initial capital: $10,000
Position size: 60% of equity per trade
Commission: 0.1%
Slippage: 4 points
Time range: From January 2018 to end of 2069 (effectively no end date)
Gaussian Channel: The primary technical indicator that creates an adaptive channel around price
Uses a complex Gaussian filter with customizable poles (default 4)
Sampling period of 144 days
True Range multiplier of 1.414
Options for reduced lag and fast response modes
Price source defaults to HLC3 (High + Low + Close / 3)
Stochastic RSI with:
RSI length: 21 periods
Stochastic length: 200 periods
K smoothing: 1 period
D smoothing: 4 periods
Entry Conditions:
A long position is entered when ALL of these conditions are met:
The Gaussian filter is trending up (finalFilter > finalFilter )
Price is above the upper Gaussian channel band (close > hband)
Stochastic RSI is in extreme territory (k > 80 or k < 20)
Within the specified date range
Exit Conditions:
Positions are closed when price crosses below the upper band of the Gaussian channel
The visualization includes:
A color-coded Gaussian filter line (green when rising, red when falling)
Upper and lower bands forming a channel
The channel is filled with a semi-transparent version of the same color
This is a trend-following strategy that aims to catch strong upward moves in Bitcoin while using the Stochastic RSI as an additional filter. The strategy only takes long positions and doesn't include any short trades.
foneysmiles@gmail.com if you have any questions or have other use cases
Bullish/Bearish Reversal ArrowsThe Bullish/Bearish Reversal Arrows Indicator is designed to identify potential reversal points in the market based on two key technical analysis tools: the MACD (Moving Average Convergence Divergence) and the RSI (Relative Strength Index).
Bullish Reversal:
A green upward arrow appears below the price bar when the MACD line crosses above the signal line (bullish crossover) and the RSI is in the oversold region (below the specified RSI oversold level).
This indicates a potential shift from a bearish trend to a bullish trend, signaling a possible buy opportunity.
Bearish Reversal:
A red downward arrow appears above the price bar when the MACD line crosses below the signal line (bearish crossunder) and the RSI is in the overbought region (above the specified RSI overbought level).
This indicates a potential shift from a bullish trend to a bearish trend, signaling a possible sell opportunity.
Features:
Combines two popular indicators (MACD and RSI) to increase accuracy.
Plots clear green upward arrows for bullish reversals and red downward arrows for bearish reversals directly on the chart.
Customizable inputs:
Adjust the MACD fast, slow, and signal lengths.
Set the RSI length and thresholds for oversold and overbought conditions.
Use Case:
This indicator is suitable for traders looking for:
Visual cues for potential market reversals.
Confirmation of oversold and overbought conditions using RSI.
An additional layer of decision-making for entry and exit points.
Note: As with all indicators, this tool should not be used in isolation. Combine it with other analysis techniques and risk management strategies for the best results.
Market Sessions and OverlapsMarket Sessions and Overlaps Indicator
This script, titled " Market Sessions and Overlaps ," provides a detailed visualization of major global trading sessions—Asia, Europe, and New York—along with the periods where these sessions overlap. It is designed to assist traders in understanding session timings and overlaps in their local time zone. Key features include:
Session Visualization: Highlights the Asia, Europe, and New York trading sessions directly on the chart with customizable colors and transparency for better clarity.
Overlap Identification: Marks the overlapping periods between Asia-Europe and Europe-New York sessions, where market activity often intensifies, with distinct candle colors.
Time Zone Support: The script allows users to select their local time zone, ensuring all session times are displayed accurately, no matter the user’s location.
Alerts for Key Events: Includes optional alerts to notify users of session openings, closings, and the start or end of overlap periods.
This indicator serves as a visual tool for tracking session-specific activity and liquidity. It is configurable to match individual preferences, enabling better alignment with trading strategies.
Disclaimer: This script is for informational purposes only and does not provide financial advice. Please consult a licensed financial advisor for personalized trading guidance.
Auto Fibonacci Extension and Retracement with Visual AlertsThis indicator automatically calculates and plots Fibonacci retracement and extension levels based on recent swing highs and lows, making it a powerful tool for traders who use Fibonacci analysis in their strategies.
Key Features:
• Dynamic Fibonacci Levels: Automatically detects swing highs and lows over a user-defined lookback period to calculate key Fibonacci retracement (e.g., 0.236, 0.382, 0.618, etc.) and extension (e.g., 1.618, 2.618, etc.) levels.
• Visual Alerts: Displays intuitive visual alerts when the price crosses important Fibonacci levels.
• Blue dashed lines for retracement levels.
• Green dashed lines for extension levels.
• Labels with up or down arrows indicating price interactions with these levels.
• Swing High/Low Visualization: Marks recent swing highs and lows with crosses for better clarity.
• Customizable: Adjust the lookback period and Fibonacci levels to suit your trading style.
Who is it for?
This indicator is perfect for:
• Swing Traders: To identify potential reversal or continuation zones.
• Day Traders: For short-term setups based on Fibonacci levels.
• Fibonacci Enthusiasts: To automate the time-consuming process of manually plotting levels.
Usage Ideas:
1. Use retracement levels (e.g., 0.618) to identify areas of potential support or resistance.
2. Use extension levels (e.g., 1.618) to target potential breakout or continuation zones.
3. Combine this indicator with candlestick patterns, volume analysis, or other tools for confirmation.
Limitations:
• This is a standalone indicator and does not provide buy/sell signals. It’s recommended to combine it with other technical analysis tools for best results.
• The lookback period and swing detection rely on past data, so adjustments may be needed based on the asset or timeframe.
Whether you’re looking to streamline your Fibonacci analysis or explore new opportunities in your trading, this indicator is designed to save time, increase accuracy, and enhance your overall trading experience.
SMA and Supertrend Crypto InvertedHere’s a brief breakdown of what the code is doing:
Inputs for SMA:
You define an input for the length of the Simple Moving Average (sma_length) with a default of 5.
Inputs for Supertrend:
ATR length (supertrend_atr_length) is set to 10.
Multiplier (supertrend_multiplier) is set to 3.
SMA Calculation:
The SMA is calculated using the ta.sma function with the closing prices over the specified length.
Supertrend Calculation:
The ta.supertrend function calculates the Supertrend and its direction (positive or negative).
Plotting:
You plot the SMA on the chart with the plot function, using the color blue.
The Supertrend is also plotted with a color that changes based on the direction. Green for an uptrend (direction > 0) and red for a downtrend (direction <= 0).
Background Color:
The background color is dynamically set to green or red based on the trend direction (Supertrend), with a transparency of 90% to give a subtle indication of the current market condition.
The CRT Indicator (2/2) @TorioTradesThis indicator is specifically designed for CRT (Candle Range Theory) to provide valuable insights into the daily price range, facilitating more informed intraday trading decisions. It helps traders analyze price action within the context of the day's overall movement, potentially improving their ability to identify optimal entry and exit points.
Before we continue we should thanks the creators of this indicator by following them:
x.com
x.com
x.com
x.com
Join my community: t.me
To keep charts uncluttered, a Cutoff Time will prevent drawings from extending beyond a specific point. The indicator automatically uses this to avoid messy charts with multiple drawings starting and stopping at various times.
The indicator features four customizable trading sessions (Killzones), each with adjustable times and labels. Traders can modify these sessions to match their preferred trading style, whether it's a variation on traditional ICT Killzones or entirely different timeframes. The sessions dynamically track high and low prices within their periods, extending pivot points until they're broken.
I'm excited by the positive response to this indicator and welcome your suggestions for improvements and future features. Please share your ideas!
MiguelCorreia IndicadorCriptoO indicador exibido neste gráfico foi desenvolvido exclusivamente para fins de teste e experimentação. Ele não deve ser considerado como uma recomendação de negociação ou como uma ferramenta definitiva para a tomada de decisões no mercado.
A performance histórica do indicador não garante resultados futuros e ele pode não ser adequado para todos os tipos de investimento ou estratégias. Recomendamos que qualquer usuário faça uma análise própria e, se necessário, consulte um especialista antes de tomar decisões financeiras.
Este indicador está sujeito a ajustes e melhorias à medida que mais testes são realizados. Utiliza-o com cautela e responsabilidade.
Improved Scalping Strategy with Alerts//@version=5
indicator("Improved Scalping Strategy with Alerts", overlay=true)
// EMA Settings for Scalping
emaLength = input.int(9, title="EMA Length")
emaValue = ta.ema(close, emaLength)
plot(emaValue, title="EMA", color=color.blue, linewidth=2)
// Volume Analysis for Scalping
volumeThreshold = input.float(2.0, title="Volume Threshold")
volumeSignal = volume > ta.sma(volume, 10) * volumeThreshold
bgcolor(volumeSignal ? color.new(color.blue, 90) : na, title="Volume Signal")
// RSI Settings for Scalping
rsiLength = input.int(9, title="RSI Length")
rsiValue = ta.rsi(close, rsiLength)
overbought = 70
oversold = 30
plot(rsiValue, title="RSI", color=color.purple, linewidth=2)
hline(overbought, "Overbought", color=color.red)
hline(oversold, "Oversold", color=color.green)
// MACD Settings for Scalping
fastLength = input.int(6, title="MACD Fast Length")
slowLength = input.int(13, title="MACD Slow Length")
signalSmoothing = input.int(5, title="MACD Signal Smoothing")
= ta.macd(close, fastLength, slowLength, signalSmoothing)
plot(macdLine, title="MACD Line", color=color.blue, linewidth=1)
plot(signalLine, title="Signal Line", color=color.red, linewidth=1)
// Strong Bullish and Bearish Conditions for Scalping
strongBullish = rsiValue > 70 and macdLine > signalLine and close > emaValue and volumeSignal
strongBearish = rsiValue < 30 and macdLine < signalLine and close < emaValue and volumeSignal
// Buy/Sell Signals for Scalping
buySignal = strongBullish
sellSignal = strongBearish
// Plot Buy/Sell Signals on Chart
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT")
// Alerts for Scalping
alertcondition(buySignal, title="Long Trade Alert", message="Strong Bullish Signal: Consider LONG Trade")
alertcondition(sellSignal, title="Short Trade Alert", message="Strong Bearish Signal: Consider SHORT Trade")
// Additional Alerts for Confirmation
confirmationBullish = ta.crossover(macdLine, signalLine) and rsiValue > 50 and close > emaValue and volumeSignal
confirmationBearish = ta.crossunder(macdLine, signalLine) and rsiValue < 50 and close < emaValue and volumeSignal
alertcondition(confirmationBullish, title="Confirmation Bullish Alert", message="Confirmation Bullish Signal: Consider LONG Trade")
alertcondition(confirmationBearish, title="Confirmation Bearish Alert", message="Confirmation Bearish Signal: Consider SHORT Trade")
Adaptive Trend SignalsTry to give accurate signals for buying and selling using FAV and price movement
EMA Study Script for Price Action TradersThis indicator creates an Exponential Moving Average (EMA) with customizable bands around it.
The bands can be based on three different calculation methods:
1. Full Average Bar Range (high-low)
2. Body Average Bar Range (open-close)
3. Standard Deviation of the EMA
Users can display up to three bands above and below the EMA, with options to customize the colors, transparency, and whether to fill the area between bands. The indicator serves both as a research tool for studying price action around EMAs and as a potential trading tool for identifying volatility zones.
Key features:
- Configurable EMA period and color
- Three different band calculation methods
- Up to 3 standard deviations of band display
- Optional band filling with customizable color and transparency
- Overlay display for easy price action analysis
The CRT Indicator (1/2) by TorioTradesThis indicator is specifically designed for CRT (Candle Range Theory) to provide valuable insights into the daily price range, facilitating more informed intraday trading decisions. It helps traders analyze price action within the context of the day's overall movement, potentially improving their ability to identify optimal entry and exit points.
Before we continue we should thanks the creators of this indicator by following them:
x.com
x.com
x.com
x.com
Join my community: t.me
To keep charts uncluttered, a Cutoff Time will prevent drawings from extending beyond a specific point. The indicator automatically uses this to avoid messy charts with multiple drawings starting and stopping at various times.
The indicator features four customizable trading sessions (Killzones), each with adjustable times and labels. Traders can modify these sessions to match their preferred trading style, whether it's a variation on traditional ICT Killzones or entirely different timeframes. The sessions dynamically track high and low prices within their periods, extending pivot points until they're broken.
I'm excited by the positive response to this indicator and welcome your suggestions for improvements and future features. Please share your ideas!
Anomaly DetectorPrice Anomaly Detector
This is a script designed to identify unusual price movements. By analyzing deviations from typical price behavior, this tool helps traders spot potential trading opportunities and manage risks effectively.
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Features
- Anomaly Detection: Flags price points that significantly deviate from the average.
- Visual Indicators: Highlights anomalies with background colors and cross markers.
- Customizable Settings: Adjust sensitivity and window size to match your trading strategy.
- Real-Time Analysis: Continuously updates anomaly signals as new data is received.
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Usage
After adding the indicator to your chart:
1. View Anomalies: Red backgrounds and cross markers indicate detected anomalies.
2. Adjust Settings: Modify the `StdDev Threshold` and `Window Length` to change detection sensitivity.
3. Interpret Signals:
- Red Background: Anomaly detected on that bar.
- Red Cross: Specific point of anomaly.
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Inputs
- StdDev Threshold: Higher values reduce anomaly sensitivity. Default: 2.0.
- Window Length: Larger windows smooth data, reducing false positives. Default: 20.
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Limitations
- Approximation Method: Uses a simple method to detect anomalies, which may not capture all types of unusual price movements.
- Performance: Extremely large window sizes may impact script performance.
- Segment Detection: Does not group consecutive anomalies into segments.
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Disclaimer : This tool is for educational purposes only. Trading involves risk, and you should perform your own analysis before making decisions. The author is not liable for any losses incurred.
DCA_Swing Strategy_YARІнструкція з використання DCA-Based Swing Strategy
Таймфрейм: Рекомендовано 4H або 1D.
Сигнали:
"BUY" – зелена мітка під свічкою (вхід при RSI < 30).
"SELL" – червона мітка над свічкою (тейк-профіт 3 ATR).
Лінії на графіку:
Синя – середня ціна входу.
Зелена пунктирна – тейк-профіт.
Ліміти:
До 4 покупок (Max Entries).
Загальний ризик – $200.
Wyckoff Price Action Pattern with AlertWyckoff Price Action Pattern with Alert.
It is a spring setup. when spring starts to fail it's mean trend is changed. For more accurate setup you can contact me.
Independent Dynamic Trailing Stop Loss %% trailing stop loss lines. Green for long. Red for short trend lines. Default values of 5%,10% and 15% were given. When candle closes below long line, short line starts. when candle closes above short line, long line starts.
Ultimate Oscillator with Custom WeightsUnlike the standard version, this customizable version allows users to adjust the weights assigned to each timeframe, offering flexibility to tailor the indicator to specific trading strategies or market conditions.
EMAs Adaptativa y Señales de Compra/VentaEma 21 en diario, define la tendencia, si el precio se encuentra sobre la ema, se buscan compras, por lo cual, se pinta de verde, si el precio se encuentra debajo, se buscan ventas, por lo cual la ema se pinta de rojo.
En h4 tiene un valor de 126 y en h1 de 508
La ema 50 y 200, funcionan como soportes dinámicos, del precio, donde se busca una entrada, siempre y cuando el precio se encuentre rebotando en los niveles del RSI y rebotando en al menos una de las medias.
