EMA Ribbon overlay with Trend-Based Color TransitionThis indicator visualizes an EMA Ribbon with a trend-based color transition. It helps traders quickly identify market trends and transitions between bullish and bearish movements.
How It Works
Exponential Moving Averages (EMAs)
The indicator calculates 8 EMAs based on user-defined lengths.
Default values range from 21 to 55 periods.
Trend Identification
A bullish trend is detected when all EMAs are stacked in an upward sequence (shorter EMAs above longer ones).
A bearish trend is detected when all EMAs are stacked in a downward sequence (shorter EMAs below longer ones).
Trend Reversal Detection
A trend shift to bullish occurs when a previously bearish trend turns bullish.
A trend shift to bearish occurs when a previously bullish trend turns bearish.
Color Transition Logic
Green when transitioning from a bearish to bullish trend.
Red when transitioning from a bullish to bearish trend.
Visualization
EMAs are plotted on the chart.
The area between EMAs is filled with green or red, depending on the trend shift.
Use Case
Identifying Trend Shifts: Traders can use color transitions to detect potential entry and exit points.
Confirming Market Direction: Helps confirm bullish and bearish trends before making trading decisions.
Enhanced Visual Clarity: The ribbon structure makes it easy to see trend momentum and potential reversals.
This indicator is useful for trend-following strategies and can be combined with other technical analysis tools for better decision-making. 🚀
インジケーターとストラテジー
Momentum Theory Quick BiasMomentum Theory Quick Bias is a watchlist screener tool for rapid multi-timeframe analysis. It displays a variety of information from higher timeframes in order to set a directional bias including: breakout levels, peak levels, previous bar closes, and swing points.
✅ 8 Symbol Watchlist Scanner
✅ Quickly Set Directional Bias
✅ For Scalpers, Day Traders, and Swing Traders
--- 📷 INDICATOR GALLERY ---
--- 🚀 QUICK LOOK ---
✔ Multi-Timeframe Analysis
Displays various higher timeframe information in order to read how an asset is moving with one quick glance. Utilizes icons and colors that serve as visual cues.
--- ⚡ FEATURES ---
✔ Breakout Bias
Shows if the current price is above or below the breakout level on the timeframe.
✔ Peak Bias
Shows if the current previous peak has been triggered and where price is relative to it.
✔ Previous Bar Close
Shows how the previous bar closed and whether it's bullish or bearish.
Breakout
Fakeout
Inside
Outside
✔ Swing Point
Shows if the timeframe has currently flipped its breakout level.
✔ Bias Alignment
Shows visual icons if there is bias alignment between the timeframes.
↗️↘️ Breakout Bias Alignment
🔼🔽 Peak Bias Alignment
🔀 Breakout and Peak Bias Alignment, but opposite
✅ Breakout and Peak Bias Alignment
✔ Quick Analysis
Hover over the symbol name to view which timeframe levels are bullish or bearish and if peak levels have been triggered.
--- 🔥 OTHER FEATURES ---
✔ Built-In Presets
Create your own custom watchlist or use one of the built-in ones (using Oanda charts)
It's recommended to use the same source for all assets in your watchlist whenever possible
✔ Customized Layouts
Display the watchlist in a variety of different column arrangements.
✔ Dark and Light Modes
Adjustable theme colors to trade your chart the way you want.
✔ Plug-and-Play
Automatically changes the relevant levels depending on the viewed timeframe. Just fill in your watchlist, add it to your chart, and start trading!
Set the indicator to the following timeframes to view those arrangements:
Month Timeframe - Y / 6M / 3M / M
Week Timeframe - 6M / 3M / M / W
Day Timeframe - 3M / M / W / D
H4 Timeframe - Y / M / W / D
M15 Timeframe - M / W / D / H8
M10 Timeframe - M / W / D / H4
M5 Timeframe - W / D / H8 / H2
M3 Timeframe - W / D / H4 / H1
M2 Timeframe - D / H8 / H2 / M30
M1 Timeframe - D / H4 / H1 / M15
--- 📝 HOW TO USE ---
1) Create your watchlist or use one of the built-in presets and place it on the timeframe you want to see. If no watchlist is created, it automatically sets to the current asset.
2) Alignments will trigger in real-time and push to the top of the column.
It is recommended to place the indicator in a different chart window, so it won't have to refresh every time the asset or timeframe changes.
Monthly Cummulated Moving Average (MCMA)A specialized moving average indicator that helps identify statistically advantageous trading opportunities based on price position relative to the MCMA line.
📊 Key Statistical Edge
The core strength of this indicator lies in its ability to identify higher probability trades:
Trades taken when price is above MCMA historically show higher win rates
Monthly calculations provide a robust baseline for trend identification
Daily updates allow for precise entry timing while maintaining monthly context
🎯 Trading Applications
Long Entry Filter:
Wait for price to trade above MCMA before considering long positions
Use as a primary filter to avoid lower probability setups
Combines daily precision with monthly trend context
Risk Management:
MCMA serves as a dynamic invalidation level
Consider closing longs when price falls below MCMA
Use as a trailing reference for position management
📈 Implementation
Calculates on daily bars for precision
Resets monthly for trend context
Plots a single line that serves as a statistical reference
Simple yet effective design focused on practical trading application
💡 Best Practices
Focus on long setups when price is trading above MCMA
Combine with volume analysis for confirmation
Pay attention to how price interacts with the MCMA line
Use alongside your existing strategy as a statistical filter
🔧 Technical Details
Built in Pine Script™ v5
Updates daily for maximum precision
Maintains monthly context for trend alignment
Optimized for computational efficiency
Broad Market MOEX non normalazeBroad Market MOEX - Relative Strength Indicator for MOEX Stocks
This indicator allows you to compare the price dynamics of major Moscow Exchange stocks relative to the selected asset during the trading session.
Features:
• Tracks 10 key MOEX stocks: Sberbank, Rosneft, Lukoil, Gazprom Neft, NOVATEK, Nornickel, Polyus, Tatneft, Surgutneftegas, Severstal
• Shows the percentage price change of each stock relative to the base price at the start of trading (default 9:00 MSK)
• Allows you to customize the base time for reference
• Clearly displays the strength and weakness of individual stocks relative to each other
• Helps identify leaders and laggards during the trading session
How to use:
1. Add the indicator to any MOEX stock chart
2. Adjust the base time if needed (default 9:00)
3. Monitor the relative dynamics of stocks
4. Use for:
- Finding strong/weak stocks
- Identifying sector rotation
- Intraday trading
- Correlation analysis
Color coding of lines helps easily identify each stock on the chart.
The indicator is useful for intraday traders and anyone monitoring the relative strength of stocks on the Moscow Exchange.
Smart Money Index + True Strength IndexThe Smart Money Index + True Strength Index indicator is a combination of two popular technical analysis indicators: the Smart Money Index (SMI) and the True Strength Index (TSI). This combined indicator helps traders identify potential entry points for long and short positions based on signals from both indexes.
Main Components:
Smart Money Index (SMI):
The SMI measures the difference between the closing and opening price of a candle multiplied by the trading volume over a certain period of time. This allows you to assess the activity of large players ("smart money") in the market. If the SMI value is above a certain threshold (smiThreshold), it may indicate a bullish trend, and if lower, it may indicate a bearish trend.
True Strength Index (TSI):
The TSI is an oscillator that measures the strength of a trend by comparing the price change of the current bar with the previous bar. It uses two exponential moving averages (EMAS) to smooth the data. TSI values can fluctuate around zero, with values above the overbought level indicating a possible downward correction, and values below the oversold level signaling a possible upward correction.
Parameters:
SMI Length: Defines the number of candles used to calculate the average SMI value. The default value is 14.
SMI Threshold: A threshold value that is used to determine a buy or sell signal. The default value is 0.
Length of the first TSI smoothing (tsiLength1): The length of the first EMA for calculating TSI. The default value is 25.
Second TSI smoothing length (tsiLength2): The length of the second EMA for additional smoothing of TSI values. The default value is 13.
TSI Overbought level: The level at which the market is considered to be overbought. The default value is 25.
Oversold level TSI: The level at which it is considered that the market is in an oversold state. The default value is -25.
Logic of operation:
SMI calculation:
First, the difference between the closing and opening price of each candle (close - open) is calculated.
This difference is then multiplied by the trading volume.
The resulting product is averaged using a simple moving average (SMA) over a specified period (smiLength).
Calculation of TSI:
The price change relative to the previous bar is calculated (close - close ).
The first EMA with the length tsiLength1 is applied.
Next, a second EMA with a length of tsiLength2 is applied to obtain the final TSI value.
The absolute value of price changes is calculated in the same way, and two emas are also applied.
The final TSI index is calculated as the ratio of these two values multiplied by 100.
Graphical representation:
The SMI and TSI lines are plotted on the graph along with their respective thresholds.
For SMI, the line is drawn in orange, and the threshold level is dotted in gray.
For the TSI, the line is plotted in blue, the overbought and oversold levels are indicated by red and green dotted lines, respectively.
Conditions for buy/sell signals:
A buy (long) signal is generated when:
SMI is greater than the threshold (smi > smiThreshold)
TSI crosses the oversold level from bottom to top (ta.crossover(tsi, oversold)).
A sell (short) signal is generated when:
SMI is less than the threshold (smi < smiThreshold)
TSI crosses the overbought level from top to bottom (ta.crossunder(tsi, overbought)).
Signal display:
When the conditions for a long or short are met, labels labeled "LONG" or "SHORT" appear on the chart.
The label for the long is located under the candle and is colored green, and for the short it is above the candle and is colored red.
Notification generation:
The indicator also supports notifications via the TradingView platform. Notifications are sent when conditions arise for a long or short position.
This combined indicator provides the trader with the opportunity to use both SMI and TSI signals simultaneously, which can improve the accuracy of trading decisions.
15 Minute Touch or Not TouchBuy Condition:
The trend is up
A candle forms below the White line without touching it (or only the wick touches).
The next candle forms above the White line without touching it.
A buy signal is generated on the next candle.
Sell Condition:
The trend is down
A candle forms above the White line without touching it (or only the wick touches).
The next candle forms below the White line without touching it.
A sell signal is generated on the next candle
Highs&Lows by HourHighs & Lows by Hour
Description:
Highs & Lows by Hour is a TradingView indicator that helps traders identify the most frequent hours at which daily high and low price points occur. By analyzing historical price data directly from the TradingView chart, this tool provides valuable insights into market timing, allowing traders to optimize their strategies around key price movements.
This indicator is specifically designed for the one-hour (H1) timeframe . It does not display any data on other timeframes , as it relies on analyzing daily highs and lows within hourly periods.
This indicator processes the available data based on the number of historical bars loaded in the TradingView chart. The number of analyzed bars depends on the TradingView subscription plan , which determines how much historical data is accessible.
Key Features:
Works exclusively on the H1 timeframe , ensuring accurate analysis of daily highs and lows
Hourly highs and lows analysis to identify the most frequent hours when the market reaches its daily high and low
Sorted by frequency, displaying the most significant trading hours in descending order based on their recurrence
Customizable table and colors to fit the chart theme and trading style
Useful for scalpers, day traders, and swing traders to anticipate potential price reversals and breakouts
How It Works:
The indicator scans historical price data directly from the TradingView chart to detect the hour at which daily highs and daily lows occur.
It counts the frequency of highs and lows for each hour of the trading day based on the number of available bars in the TradingView chart.
The recorded data is displayed in a structured table, sorted by frequency from highest to lowest.
Users can customize colors to enhance readability and seamlessly integrate the indicator into their analysis.
Why Use This Indicator?
Identify key market patterns by recognizing the most critical hours when price extremes tend to form
Improve timing for trades by aligning entries and exits with high-probability time windows
Enhance market awareness by understanding when market volatility is likely to peak based on historical trends
Important Notes:
This indicator works only on the one-hour (H1) timeframe . It will not display any data on other timeframes
Works well on Forex, stocks, crypto, and futures , especially for intraday traders
The indicator analyzes only the historical bars available on the TradingView chart, which varies depending on the TradingView subscription plan (Free, Pro, Pro+, Premium)
This indicator does not generate buy or sell signals but serves as a data-driven tool for market analysis
How to Use:
Apply the Highs & Lows by Hour indicator to a one-hour (H1) chart on TradingView
Review the table displaying the most frequent hours for daily highs and lows
Adjust colors and settings for better visualization
Use the data to refine trading decisions and align strategy with historical price behavior
Bollinger Bands with Narrow ConsolidationThe indicator is based on the standard Bollinger Bands indicator in TradingView. Its main difference is the ability to display narrow consolidation zones (with an adjustable percentage) and generate signals in these zones.
Narrow consolidation zones can be considered as a signal before the start of a strong trend, whether upward or downward.
Индикатор построен на стандартном индикаторе полос боллинджера в трейдинг вью. Его отличие заключается в том, что здесь есть возможность отображения зон узкой консолидации (процент настраивается) и генерации сигналов на этих зонах.
Зоны узкой консолидации можно рассматривать как сигнал перед началом сильного треда как восходящего, так и нисходящего.
Starfield Scroller█ OVERVIEW
This script creates a visually appealing starfield effect on your chart. It generates and animates multiple star fields, each customizable with its own parameters. Explore the input options to adjust the number of stars, their speed, and color.
█ CONCEPTS
The script is a simple demonstration, and utilizes a custom `starfield` function and my `geo` library for point management. It simulates a parallax effect by creating stars at random positions and moving them across the chart at varying speeds.
Star Creation
• Stars are generated with random X and Y coordinates within defined boundaries.
• Each star is assigned a random speed factor, influencing its movement speed.
• Star color is also influenced by its speed; faster stars appear more transparent.
Star Movement & Management
• The script maintains a dynamic array of Star structures. Each Star structure holds the star's creation bar index, location (as a Point ), speed factor, and the label used to display it.
• On each new bar, new stars are created and added to the array.
• Stars are moved horizontally based on their speed factor.
• Stars that move off-screen are deleted to manage resource usage.
• The maximum number of stars for each starfield instance is controlled by an input parameter.
Parallax Effect
• The varying speeds of the stars create a parallax effect, giving the illusion of depth to the starfield.
█ FEATURES
This script includes two independent starfield instances, each configurable via inputs.
Starfield 1:
• Max Stars 1: Maximum number of stars in the first starfield.
• New Stars Per Bar 1: Number of new stars created per bar for the first starfield.
• Max Star Speed 1: Maximum speed of the stars in the first starfield.
• Star Color 1: Color of the stars in the first starfield.
Starfield 2:
• Max Stars 2: Maximum number of stars in the second starfield.
• New Stars Per Bar 2: Number of new stars created per bar for the second starfield.
• Max Star Speed 2: Maximum speed of the stars in the second starfield.
• Star Color 2: Color of the stars in the second starfield.
█ HOW TO USE
1 — Add the script to your chart.
2 — Adjust the input parameters for each starfield to customize its appearance and behavior.
3 — Observe the animated starfield effect.
█ LIMITATIONS
• Excessive numbers of stars may impact performance. Adjust the maximum number of stars and new stars per bar accordingly.
• The script uses labels for rendering stars, which can have limitations on certain chart timeframes and settings.
█ NOTES
This script is intended for visual enhancement and does not provide trading signals. It demonstrates the use of custom types, arrays, and functions for creating complex visual effects in Pine Script™. The `geo` library is used for consistent point calculations.
█ THANKS
Thanks to the TradingView community for inspiration and support.
langshen K-Line CounterEnglish Description:**
This indicator, named “langshen K-Line Counter,” is designed to count the number of K-line bars (candlesticks) during the current trading day. The key functionalities include:
- **Daily Reset**: At the start of a new trading day (detected by the change in daily time), the counter automatically resets to 1.
- **Incremental Counting**: For each new bar within the same trading day, the counter increments by 1, thus recording the sequence number of each K-line.
- **Chart Display**: The current count is displayed as a numerical label above the high of each K-line on the chart. Users can customize the text size and color of these numbers.
This feature enables traders to visually track the number of K-lines and their sequence within the day, which can assist in analyzing market trends and the pace of price movements.
中文介绍：**
此指标名为“langshen K线计数器”，主要用于统计当前交易日内的K线（蜡烛图）数量。指标的核心功能包括：
- **每日计数重置**：在交易所日切换时（即新的一天开始时），计数器自动重置为1。
- **逐根累加**：在同一交易日内，每根新出现的K线都会使计数器加1，从而记录当天的K线序号。
- **图表展示**：计数器的当前值会以数字标签的形式显示在每根K线的最高价上方，用户可自定义数字的显示大小和颜色。
这种功能可以帮助交易者直观地了解当天市场中的K线数量以及K线的序号变化，辅助分析市场的走势和节奏。
US vs EU Interest Rate SpreadThis script plots the difference (Spread) between the US-Interest Rate (Symbol USINTR) and the EU Interest Rate (Symbol: EUINTR) and plots it in a seperate pane. Areas where the background is green are times were the spread was positive (US interest rate higher than EU interest rate), a red background indicates a higher EU interest rate than US interest rate.
Killzone Highlights with Volume [odnac]
Description:
This indicator seamlessly integrates volume analysis with kill zone highlights across different market sessions.
The indicator dynamically displays trading volume and visually emphasizes key trading sessions in various time zones, including Asia, Europe, and New York (both AM and PM sessions).
Users have the flexibility to customize the colors of bullish and bearish volume bars, as well as the transparency and color of the kill zone highlights, allowing for tailored visual analysis of trading periods.
Features:
Bullish and Bearish Volume Colors:
Displays the volume of trades with user-defined colors for bullish (up) and bearish (down) candles.
Killzone Highlights:
Highlights the kill zones for Asia, Europe, New York AM, and New York PM sessions with user-defined colors and transparency.
Customization Options:
Allows users to adjust the colors, transparency, and time settings for each kill zone.
Weekend Handling:
Option to hide kill zone highlights during weekends.
Timeframe Limitation:
Users can set the maximum timeframe for which the kill zone highlights will be displayed.
Usage:
This indicator is designed for traders who want to gain insights into market activity during key trading sessions.
By combining volume data with visually distinct kill zone highlights, it helps traders make informed decisions based on the most active trading periods.
Ideal for intraday traders looking to leverage session-based strategies for more effective trading decisions.
Blockchain Fundamentals: Global LiquidityGlobal Liquidity Indicator Overview
This indicator provides a comprehensive technical analysis of liquidity trends by deriving a Global Liquidity metric from multiple data sources. It applies a suite of technical indicators directly on this liquidity measure, rather than on price data. When this metric is expanding Bitcoin and crypto tends to bullish conditions.
Features:
1. Global Liquidity Calculation
Data Integration: Combines multiple market data sources using a ratio-based formula to produce a unique liquidity measure.
Custom Metric: This liquidity metric serves as the foundational input for further technical analysis.
2. Timeframe Customization
User-Selected Period: Users can select the data timeframe (default is 2 months) to ensure consistency and flexibility in analysis.
3. Additional Technical Indicators
RSI, Momentum, ROC, MACD, and Stochastic:
Each indicator is computed using the Global Liquidity series rather than price.
User-selectable toggles allow for enabling or disabling each individual indicator as desired.
4. Enhanced MACD Visualization
Dynamic Histogram Coloring:
The MACD histogram color adjusts dynamically: brighter hues indicate rising histogram values while darker hues indicate falling values.
When the histogram is above zero, green is used; when below zero, red is applied, offering immediate visual insight into momentum shifts.
Conclusion
This indicator is an enlightening tool for understanding liquidity dynamics, aiding in macroeconomic analysis and investment decision-making by highlighting shifts in liquidity conditions and market momentum.
Fractal Trend Anticipator (FTA)How to Use FTA
Purpose:
FTA is designed to detect when a consolidating (or choppy) market—with a high choppiness index—is poised to break into a trend as indicated by an RSI crossover.
Signals:
Bullish Breakout: When the Choppiness Index is above your set threshold and the RSI crosses upward over 50, a bullish arrow (triangle up) appears below the bar.
Bearish Breakout: Conversely, when the RSI crosses downward from above 50 under high choppiness, a bearish arrow (triangle down) appears above the bar.
Trading Insight:
In crypto markets, when price is range-bound, a sudden release of momentum can be captured early by FTA. Use these signals as early alerts to join moves as they begin—whether you plan to ride a short-term spike or a medium-term trend.
Feel free to adjust the and parameters to suit your trading style and asset volatility. Enjoy trading with your updated Fractal Trend Anticipator!
Volatility-Adjusted Momentum Oscillator (VAMO)Concept & Rationale: This indicator combines momentum and volatility into one oscillator. The idea is that a price move accompanied by high volatility has greater significance. We use Rate of Change (ROC) for momentum and Average True Range (ATR) for volatility, multiplying them to gauge “volatility-weighted momentum.” This concept is inspired by the Weighted Momentum & Volatility Indicator, which multiplies normalized ROC and ATR values. The result is shown as a histogram oscillating around zero – rising green bars indicate bullish momentum, while falling red bars indicate bearish momentum. When the histogram crosses above or below zero, it provides clear buy/sell signals. Higher magnitude bars suggest a stronger trend move. Crypto markets often see volatility spikes preceding big moves, so VAMO aims to capture those moments when momentum and volatility align for a powerful breakout.
Key Features:
Momentum-Volatility Fusion: Measures momentum (price ROC) adjusted by volatility (ATR). Strong trends register prominently only when price change is significant and volatility is elevated.
Intuitive Histogram: Plotted as a color-coded histogram around a zero line – green bars above zero for bullish trends, red bars below zero for bearish. This makes it easy to visualize trend strength and direction at a glance.
Clear Signals: A cross above 0 signals a buy, and below 0 signals a sell. Traders can also watch for the histogram peaking and then shrinking as an early sign of a trend reversal (e.g. bars switching from growing to shrinking while still positive could mean bullish momentum is waning).
Optimized for Volatility: Because ATR is built-in, the oscillator naturally adapts to crypto volatility. In calm periods, signals will be smaller (reducing noise), whereas during volatile swings the indicator accentuates the move, helping predict big price swings.
Customization: The lookback period is adjustable. Shorter periods (e.g. 5-10) make it more sensitive for scalping, while longer periods (20+) smooth it out for swing trading.
How to Use: When VAMO bars turn green and push above zero, it indicates bullish momentum with strong volatility – a cue that price is likely to rally in the near term. Conversely, red bars below zero signal bearish pressure. For example, if a coin’s price has been flat and then VAMO spikes green above zero, it suggests an explosive upward move is brewing. Traders can enter on the zero-line cross (or on the first green bar) and consider exiting when the histogram peaks and starts shrinking (signaling momentum slowdown). In sideways markets, VAMO will hover near zero – staying out during those low-volatility periods helps avoid false signals. This indicator’s strength is catching the moment when a quiet market turns volatile in one direction, which often precedes the next few candlesticks of sustained movement.
Markov + Monte Carlo Simulation with EVMarkov Monte Carlo Projection (MMCP) – A Probabilistic Approach to Price Forecasting
Introduction: A New Approach to Price Projection
The Markov Monte Carlo Projection (MMCP) is an advanced stochastic forecasting tool that models potential future price paths using a combination of Markov Chain transition probabilities and Monte Carlo simulations. Unlike traditional technical indicators that rely on fixed formulas, MMCP employs probability distributions and simulated price movement paths to estimate future price behavior dynamically.
This indicator is designed to adapt to changing market conditions and provides traders with a probabilistic framework rather than a fixed forecast. By incorporating volatility modeling, MMCP enables traders to size projections proportionally to recent price action, making it an adaptive and flexible forecasting tool.
Mathematical Foundations
Markov Chains: Modeling Probability of Price Movements
A Markov Chain is a stochastic process where the probability of transitioning to the next state depends only on the current state and not on past states (i.e., it is memoryless).
For price movement, MMCP analyzes the past N bars (set by the lookback window) to determine the transition probabilities of price moving up, down, or remaining the same based on past behavior:
Pup=Number of Up MovesTotal Moves
Pup=Total MovesNumber of Up Moves
Pdown=Number of Down MovesTotal Moves
Pdown=Total MovesNumber of Down Moves
Psame=1−(Pup+Pdown)
Psame=1−(Pup+Pdown)
These probabilities guide how future price movements are simulated, ensuring that projections reflect historical price behavior tendencies.
Monte Carlo Simulations: Generating Possible Futures
Monte Carlo simulations involve running many random trials to estimate possible outcomes. Each trial simulates a future price path by:
Randomly selecting a direction based on the Markov probabilities Pup,Pdown,PsamePup,Pdown,Psame.
Determining the magnitude of the price movement using a normally distributed volatility model.
Iterating this process across multiple forecast bars to simulate a range of potential price paths.
This process does not predict a single outcome, but rather generates a probability-weighted range of future price possibilities.
Volatility Modeling: Scaling Movements Proportionally
Why We Use Standard Deviation (σσ)
Price movement is inherently volatile, and the magnitude of price shifts must be scaled relative to recent volatility. MMCP calculates rolling price returns and then derives the standard deviation of those returns:
σ=stdev(price returns,lookback)
σ=stdev(price returns,lookback)
The Volatility Multiplier allows users to adjust the impact of this volatility on projected movements. This makes the indicator adaptive to different asset price ranges.
Key User Adjustments
1. Volatility Multiplier – Tuning Projections for Different Assets
The scale of the Volatility Multiplier must be tuned for each asset because it is relative to the magnitude of price action. For example:
Low-priced assets (e.g., $2.50 stocks) → A multiplier of 0.1 works best.
Mid-priced assets (e.g., $250 stocks) → A multiplier of 3 works best.
High-priced assets (e.g., Bitcoin) → A multiplier of 1000 works best.
🔹 If projections seem too extreme, decrease the multiplier.
🔹 If projections seem too flat, increase the multiplier.
The Volatility Multiplier can also be fine-tuned to make the projected signal proportionate to the immediately preceding price action.
2. Expected Value (EV) Path – Analyzing Aggregate Future Probabilities
The EV Line is a computed average of all simulated paths, giving traders an expected mean trajectory.
If you find that the EV Line is not visible, try increasing the volatility multiplier to make it more pronounced.
3. Projection Inversion – Enhancing Analysis with Paired Indicators
A unique feature of MMCP is the projection inversion toggle, designed to allow traders to run multiple instances of the indicator in tandem.
When one instance is set to normal projection and another to inverted projection, traders can pair them together using identical settings (except inversion). This setup allows for a mirrored probability perspective and enhances visualizing volatility dynamics.
Additionally, traders can use multiple sets of paired indicators, each with a different lookback window, to build a multi-layered, probability-driven market visualization. This dynamic approach provides an evolving structure of probable price movement in different time frames, offering deeper insights into potential market conditions.
How MMCP Works in Real-Time
Each new bar triggers a fresh Monte Carlo simulation, meaning that projections organically evolve with the market. This ensures that MMCP is always responding to current conditions, rather than applying static assumptions.
How to Use MMCP in Trading
✔ Identifying Potential Reversal & Continuation Zones
If most Monte Carlo paths project upward, bullish momentum is likely.
If most Monte Carlo paths project downward, bearish momentum is likely.
The Expected Value (EV) Line can help confirm the most probable trajectory.
✔ Analyzing Market Sentiment in Real Time
Use multiple instances of MMCP with different lookback windows to capture short-term vs. long-term sentiment.
Enable projection inversion to analyze potential mirrored moves.
✔ Fine-Tuning MMCP for Your Strategy
Adjust the Volatility Multiplier to match the price scale of your asset.
Increase the number of simulations to improve statistical robustness.
Use shorter lookback windows for more responsive predictions, or longer windows for more stable forecasts.
Why MMCP is a Game-Changer
✅ Dynamic & Probabilistic – Unlike fixed indicators, MMCP adapts in real-time.
✅ Fully Stochastic – MMCP embraces uncertainty using Markov models & Monte Carlo simulations.
✅ Customizable for Any Asset – Adjust the Volatility Multiplier for small or large price movements.
✅ Live Updates – The projection organically evolves with every new price bar.
✅ Multi-Perspective Analysis – Traders can run paired normal and inverted projections for deeper insights.
By tuning Volatility Multiplier, Lookback Window, and Projection Inversion, traders can customize MMCP to fit their strategy.
Final Thoughts
The Markov Monte Carlo Projection (MMCP) is not about making absolute predictions—it is about understanding probability distributions in price action.
By leveraging Monte Carlo simulations, Markov transition probabilities, and dynamic volatility modeling, MMCP gives traders a powerful probability-based edge in forecasting potential price movement.
Zerg range filter credit to Kivanc turkish pinecoder for base indicator i reworked with chatgpt and some common sense
this indicator similar to the ADX but i think its better visually to keep you out of market conditions that are unfavorable.
i made original indicator to work in a 0-100 enviroment (before it was a zero middle line oscillator) and added background coloring that has a lower and higher threshold setting. i also added a smoothing moving average. this will trigger threshold levels (not the core oscillator)
above higher level would indicate trending market conditions and its purple. these are the areas where you might want to buy low period moving average bounces like 10 or 21 ema
lower band will paint indicator background blue and its cold, meaning range bound trade ideas are likely play out better. selling resistance and buying horizontal supports for example.
you are encourage to play with lookback period and change thresholds until you find something that works for your trading.
on the picture above it illustrates how i intended its usage.
it also shows divergences which was not intended but also a function.
you can also observe as the oscillator likes to coil up into a tight range (horizontal or a wedge formation) and when these break their trendlines explosive moves are incoming usually.
if you have a trading system and can generate a lot of signals but want to filter out some loser trades this could be the indicator you were looking for.
i hope this will be inline with community guidelines. my other publishing got removed unfortunately
𝓜𝓐 𝓢𝓶𝓸𝓸𝓽𝓱𝓮𝓭 𝓡𝓢𝓘 𝓕𝓸𝓻 𝓛𝓸𝓸𝓹MA Smoothed Source For RSI Loop | Crypto_Mercenary_
Conceptual Foundation and Innovation
The "MA Smoothed Source For RSI Loop" indicator developed by Crypto_Mercenary_ innovates by smoothing the source data used for RSI calculation with various moving averages before feeding it into a for-loop scoring system. Rather than smoothing the RSI itself, this approach focuses on pre-processing the price data to reduce noise, thereby providing a cleaner input for RSI computation. The for-loop then evaluates this smoothed RSI to generate momentum signals, offering traders a refined method for detecting market trends and potential reversals.
Technical Composition and Calculation
The indicator's functionality is divided into two main parts:
Source Smoothing: Before calculating RSI, the source data (typically close price) is smoothed using one of several moving averages (EMA, SMA, WMA, VWMA, HMA, RMA, DEMA, or none) as selected by the user. This smoothing aims to filter out short-term volatility, providing a more consistent base for RSI calculation.
RSI Calculation and For-Loop Scoring:
RSI: Calculated using the smoothed source data over a user-defined length.
For-Loop Mechanism: A loop runs from a to b, comparing the current RSI value with past values of this smoothed RSI. A score (counter) is generated, which increases or decreases based on whether the current RSI exceeds or falls below past values. If the weighted option is activated, this comparison gives more weight to recent data points, adjusting the score accordingly.
The final score is then potentially normalized for better interpretation, compared against thresholds to determine market momentum signals.
Features and User Inputs
This indicator is highly customizable, allowing traders to tailor its behavior:
Weighted Calculation: Option to adjust scoring to favor recent price action.
RSI Length: Sets the period for RSI calculation.
Source: The price data to be smoothed before RSI calculation, default is close.
MA Type: Choice from various moving averages to smooth the source data.
Smooth Length: Length of the moving average used for smoothing.
For Loop Range: Defines the historical range (a to b) for the scoring loop.
Thresholds: Custom thresholds to define when signals for uptrends or downtrends are generated.
Practical Applications
This indicator is particularly beneficial for:
Identifying Momentum Shifts: The scoring system helps in detecting potential changes in market momentum.
Noise Reduction: By smoothing the source data, it aims to provide more reliable RSI signals in volatile markets.
Trend Analysis: Assists in confirming or challenging the current market trend based on the smoothed RSI's performance.
Advantages and Strategic Value
The "MA Smoothed Source For RSI Loop" offers an advantage by focusing on cleaning the input data for RSI, which can lead to more accurate momentum readings. Its flexibility in configuration allows traders to adapt the indicator to different market conditions or asset volatilities, enhancing its strategic value in trading decisions.
Alerts and Visual Cues
Visual Signals: The indicator plots the loop score, with colors indicating uptrends (gold) or downtrends (blue). Horizontal lines at thresholds and shaded areas between them provide visual aids for trend analysis.
**No explicit alerts in the script, but users can set up custom alerts based on the signals.
Summary and Usage Tips
The "MA Smoothed Source For RSI Loop | Crypto_Mercenary_" provides a nuanced approach to RSI by smoothing the price data before its calculation, resulting in potentially more reliable signals. Traders can use this indicator to gain a clearer picture of market momentum, adjusting parameters to fit different market behaviors or trading strategies. Remember, the effectiveness of this tool largely depends on its customization to the specific market context.
Note: Backtests are based on past results and do not guarantee future performance.
Opening Range Breakout (ORB)This is an Opening Range Break indicator. Best if used on a 5 minute chart. It plots the opening 30 minutes high and low of a ticker. (meaning mostly for stocks, options, etfs) and then it alerts a buy signal upon break of opening high and a sell signal upon break of opening low. This is a day trading type of indicator and there is a new opening range everyday.
Cognitive Echo IndexCognitive Echo Index – User Guide
Overview
The Cognitive Echo Index is a composite indicator that combines several technical aspects—including price deviation from a moving average, normalized volatility (via ATR), and volume variations—to create a single numeric value. The output is scaled between -100 and +100, offering insights into market momentum and potential trend reversals.
How It Works
Price Component:
The indicator calculates the percentage change between the current price and its 14-period simple moving average (SMA). This helps identify how far the price deviates from its recent trend.
Volatility Component:
Using the Average True Range (ATR) over a 14-period, the script normalizes current ATR against its 14-period SMA. This shows relative volatility, highlighting unusual market activity.
Volume Component:
It computes the percentage change between the current volume and its 14-period SMA to detect spikes or drops in trading activity.
Composite Calculation:
The three components are summed together to produce the final index value, which is then clipped to remain between -100 and +100.
Interpreting the Indicator
Indicator Value Scale:
Positive Values (0 to +100):
Suggest that bullish forces are stronger. Higher values (e.g., above +50) could indicate a strong bullish sentiment.
Negative Values (0 to -100):
Indicate bearish pressures. Lower values (e.g., below -50) may signal strong bearish conditions.
Zero Level:
The midline indicates a balanced market condition with no dominant trend.
Key Horizontal Levels:
+50 Level:
When the indicator crosses above +50, it can be interpreted as a strong bullish signal.
-50 Level:
When the indicator crosses below -50, it can be considered a strong bearish signal.
Usage Tips
Confirmation Tool:
Use the Cognitive Echo Index as an additional confirmation tool in conjunction with other technical indicators or chart patterns to make more informed trading decisions.
Parameter Adjustments:
The script uses a 14-period setting for the moving average, ATR, and volume SMA by default. Depending on your trading timeframe or asset, consider tweaking these periods for better sensitivity.
Trend Analysis:
Watch how the indicator behaves during major price moves. A divergence between the index and the price trend (e.g., price rises while the index falls) may suggest a potential reversal or a false breakout.
Risk Management:
Always incorporate sound risk management practices. Use stop losses and position sizing rules, and consider the indicator as one part of your overall trading strategy.
Customization
Adjusting the Weights:
Although the current version gives equal weight to all three components, advanced users can modify the script to apply different weights to the price, volatility, and volume components based on historical performance or specific market conditions.
Adding Additional Inputs:
Future versions could incorporate external sentiment data or other technical factors if accessible. For now, the indicator focuses on technical inputs available directly within TradingView.
By following this guide, traders can integrate the Cognitive Echo Index into their TradingView platform to gain a unique perspective on market momentum and potential turning points. Enjoy testing and refining the indicator to better suit your trading style!
Color candle by time
This indicator, written in Pine Script v5, allows you to highlight candles (using a user-selected color) that fall within a user-defined time range. Candles outside this range maintain their original appearance.
How it Works and Key Benefits:
- Time Interval Customization: By specifying start and end hours/minutes, you can emphasize only the desired market session.
- Choice of Preferred Color: The body, wicks, and borders of the candles within the selected range are uniformly colored, based on the user’s chosen tone.
- Enhanced Focus on Price Action: By focusing on the most relevant trading hours, your analysis becomes more streamlined and intuitive, without altering the rest of the session’s candle appearance.
!! DO NOT FORGET TO SELECT THE OPTION: 'BRING TO FRONT' IN THE INDICATOR'S VISUAL ORDER !!
Crypto Candle Low Leverage TrackerCrypto Candle Low Leverage Tracker
The Candle Low Leverage Indicator is a powerful tool for long position traders seeking to manage risk effectively when using leverage. By evaluating the current candle's low price, this indicator helps traders make more informed decisions about potential entry points, stop losses, and leverage levels. The indicator matches the low of the candle to the leverage needed for liquidation, giving you a clear view of how leverage impacts your position.
This indicator provides two critical insights:
% from Candle Low: Tracks how much the price has moved from the low of the current candle. For long position traders, this percentage is crucial for understanding how far the price has come off the low and deciding whether it’s safe to enter a position or if further price action is needed.
Leverage Needed: Estimates the leverage required to reach the candle's low as the liquidation price. Long traders can use this information to adjust leverage to a safer level, ensuring they don’t overexpose themselves to liquidation risks by matching leverage to the candle’s low.
Key Features:
Customizable table positioning (top, middle, bottom).
Toggle options to show/hide % from Candle Low and Leverage Needed.
Visual indicators with color changes: green for positive change, red for negative change, and blue for leverage requirements.
Ideal for long traders, this tool helps evaluate market conditions, manage risks, and calculate the best leverage to use in long trades, ensuring that leverage aligns with the candle’s low to prevent unnecessary liquidations.
OAT Multiple Alert ConditionsOverview:
The OAT Multiple Alert Conditions indicator is designed to enhance TradingView’s alert functionality by allowing users to set multiple conditions for webhook-based alerts. This script enables traders to define up to four independent conditions using different event types (e.g., crossing, greater than, rising, etc.), making it ideal for automated trading strategies and webhook integrations.
Features:
✅ Supports up to 4 independent conditions.
✅ Multiple event types: Crossing, Crossing Up, Crossing Down, Greater Than, Less Than, Rising, Falling.
✅ Choose between value-based or source-based conditions.
✅ Custom timeframes for each condition.
✅ Optional session filtering and expiration settings.
✅ Visual markers for triggered conditions.
✅ Alerts for individual conditions or all conditions being met.
How It Works:
Configure each condition by selecting the event type and input values.
Define whether the alert should trigger on bar close or real-time.
Enable session filtering to limit alerts to specific trading hours.
Set an expiration date for alerts if needed.
Alerts can be sent via TradingView’s webhook feature for automated execution.
Intended Use:
This script is a utility tool for traders using automated strategies with the Options Auto Trader. It does not generate trading signals or provide financial advice. It is designed to enhance alert flexibility and efficiency for trading through webhooks.
License & Compliance:
This script is published under the Mozilla Public License 2.0 and follows TradingView’s guidelines. It does not execute trades but simply provides an enhanced alerting mechanism.
