Bollinger Bands MTF & Kalman Filter | Flux Charts📈 Multi-Timeframe Kalman Filtered Bollinger Bands Indicator
Introducing our MTF Kalman Filtered Bollinger Bands – a powerful multi-timeframe Bollinger Bands (BB) indicator enhanced with Kalman filtering for superior smoothing and trend analysis. This indicator dynamically adapts Bollinger Bands across multiple timeframes while incorporating volume-based gradient transparency to highlight significant price movements. This indicator is better optimized for lower timeframes.
❓ How to Interpret the Bands & Volume Gradient:
Our indicator combines Lower Timeframe (LTF) and Higher Timeframe (HTF) Bollinger Bands to provide a comprehensive trend analysis. It applies Kalman filtering to the LTF bands, ensuring smoother, noise-reduced signals. The color gradient and relative volume-based transparency offer deeper insights into price strength.
🔹 LTF Bollinger Bands: Shorter-period bands filtered with a Kalman smoothing algorithm, reducing lag and noise.
🔹 HTF Bollinger Bands: Traditional Bollinger Bands plotted on a higher timeframe, offering macro trend analysis.
🔹 Volume Gradient Transparency: The bands adjust their opacity based on relative buy/sell volume, allowing traders to assess momentum strength.
📌 How Does It Work?
1️⃣ Multi-Timeframe Bollinger Bands Calculation
The LTF BB uses Kalman filtering for a smoother price representation, helping to reduce false signals.
The HTF BB is EMA-smoothed for improved trend clarity.
2️⃣ Adaptive Gradient Transparency
The opacity of the fill color between the bands is determined by relative buy/sell volume.
Higher buy volume = stronger bullish signal (greener bands).
Higher sell volume = stronger bearish signal (redder bands).
3️⃣ Dynamic Trend Signals & Breakouts
Buy Signal: When price breaks below the HTF lower band and LTF bands start rising.
Sell Signal: When price breaks above the HTF upper band and LTF bands start falling.
⚙️ Settings & Customization:
🛠 LTF and HTF Bollinger Bands Settings:
Multiplier: The multiplier applied to the BB to determine the upper and lower bands
Length: Define the number of bars determines the BB calculations.
Custom Timeframe Selection: Choose from predefined options (e.g., 5m, 15m, 1H, 4H, etc).
🎨 Gradient & Transparency Settings:
Bullish/Bearish Color Options: Customize colors for uptrend and downtrend conditions.
Max & Min Opacity: Adjust the transparency levels based on volume intensity.
Solid vs. Gradient Mode: Choose between a gradient fill or a solid color mode for clarity.
📌 Recommended Settings for Optimal Use:
1️⃣ Timeframe Selection (LTF -> HTF):
1 min -> 5 min
2 min -> 5 min
3 min -> 15 min
5 min -> 15 min
15 min -> 1 hr
1 hr -> 4 hr
4 hr -> 1 day
2️⃣ Multiplier: Use 2.0 for LTF and 2.25 for HTF
3️⃣Length: Use a length of 20 - 30 bars
🚀 Why Use This Indicator?
✅ Multi-Timeframe Bollinger Bands with Kalman Filtering – Ideal for traders looking for reduced lag and clearer trend signals.
✅ Volume-Based Transparency – See momentum shifts instantly with adaptive opacity.
✅ Dynamic Buy & Sell Signals – Alerts based on price action + volume trends.
✅ Customizable for Any Strategy – Adjust colors, timeframes, and filtering options for personalized trading.
波動率
Triangular Hull Moving Average + Volatility [BigBeluga]This indicator combines the Triangular Hull Moving Average (THMA) with a volatility overlay to provide a smoother trend-following tool while dynamically visualizing market volatility.
🔵 Key Features:
THMA-Based Trend Detection: The indicator applies a Triangular Hull Moving Average (THMA) to smooth price data, reducing lag while maintaining responsiveness to trend changes.
// THMA
thma(_src, _length) =>
ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length)
Dynamic Volatility Bands: When enabled, the indicator displays wicks extending from the THMA-based candles. These bands expand and contract based on price volatility.
Trend Reversal Signals The indicator marks trend shifts using triangle-shaped signals:
- Upward triangles appear when the THMA trend shifts to bullish.
- Downward triangles appear when the THMA trend shifts to bearish.
Customizable Settings: Users can adjust the THMA length, volatility calculation period, and colors for up/down trends to fit their trading style.
Informative Dashboard: The bottom-right corner displays the current trend direction and volatility percentage, helping traders quickly assess market conditions.
🔵 Usage:
Trend Trading: The colored candles indicate whether the market is trending up or down. Traders can follow the trend direction and use trend reversals for entry or exit points.
Volatility Monitoring: When the volatility feature is enabled, the expanding or contracting wicks help visualize market momentum and potential breakout strength.
Signal Confirmation: The triangle signals can be used to confirm potential entry points when the trend shifts.
This tool is ideal for traders who want a responsive moving average with volatility insights to enhance their trend-following strategies.
[3Commas] Turtle StrategyTurtle Strategy
🔷 What it does: This indicator implements a modernized version of the Turtle Trading Strategy, designed for trend-following and automated trading with webhook integration. It identifies breakout opportunities using Donchian channels, providing entry and exit signals.
Channel 1: Detects short-term breakouts using the highest highs and lowest lows over a set period (default 20).
Channel 2: Acts as a confirmation filter by applying an offset to the same period, reducing false signals.
Exit Channel: Functions as a dynamic stop-loss (wait for candle close), adjusting based on market structure (default 10 periods).
Additionally, traders can enable a fixed Take Profit level, ensuring a systematic approach to profit-taking.
🔷 Who is it for:
Trend Traders: Those looking to capture long-term market moves.
Bot Users: Traders seeking to automate entries and exits with bot integration.
Rule-Based Traders: Operators who prefer a structured, systematic trading approach.
🔷 How does it work: The strategy generates buy and sell signals using a dual-channel confirmation system.
Long Entry: A buy signal is generated when the close price crosses above the previous high of Channel 1 and is confirmed by Channel 2.
Short Entry: A sell signal occurs when the close price falls below the previous low of Channel 1, with confirmation from Channel 2.
Exit Management: The Exit Channel acts as a trailing stop, dynamically adjusting to price movements. To exit the trade, wait for a full bar close.
Optional Take Profit (%): Closes trades at a predefined %.
🔷 Why it’s unique:
Modern Adaptation: Updates the classic Turtle Trading Strategy, with the possibility of using a second channel with an offset to filter the signals.
Dynamic Risk Management: Utilizes a trailing Exit Channel to help protect gains as trades move favorably.
Bot Integration: Automates trade execution through direct JSON signal communication with your DCA Bots.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Best suited for trending markets; higher timeframes (e.g., H4, D1) are recommended to minimize noise.
Sideways Markets: In choppy conditions, breakouts may lead to false signals—consider using additional filters.
Backtesting & Demo Testing: It is crucial to thoroughly backtest the strategy and run it on a demo account before risking real capital.
Parameter Adjustments: Ensure that commissions, slippage, and position sizes are set accurately to reflect real trading conditions.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:ETHUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
Period Channel 1: 20.
Period Channel 2: 20.
Period Channel 2 Offset: 20.
Period Exit: 10.
Take Profit %: Disable.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +516.87 USDT (+5.17%).
Max Drawdown: -100.28 USDT (-0.95%).
Total Closed Trades: 281.
Percent Profitable: 40.21%.
Profit Factor: 1.704.
Average Trade: +1.84 USDT (+1.80%).
Average # Bars in Trades: 29.
🔷 How to Use It:
🔸 Adjust Settings:
Select your asset and timeframe suited for trend trading.
Adjust the periods for Channel 1, Channel 2, and the Exit Channel to align with the asset’s historical behavior. You can visualize these channels by going to the Style tab and enabling them.
For example, if you set Channel 2 to 40 with an offset of 40, signals will take longer to appear but will aim for a more defined trend.
Experiment with different values, a possible exit configuration is using 20 as well. Compare the results and adjust accordingly.
Enable the Take Profit (%) option if needed.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable the option to receive long or short signals (Entry | TP | SL), copy and paste the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only".
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
Period Channel 1: Period of highs and lows to trigger signals
Period Channel 2: Period of highs and lows to filter signals
Offset: Move Channel 2 to the right x bars to try to filter out the favorable signals.
Period Exit: It is the period of the Donchian channel that is used as trailing for the exits.
Strategy: Order Type direction in which trades are executed.
Take Profit %: When activated, the entered value will be used as the Take Profit in percentage from the entry price level.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Check Messages: Enable this option to review the messages that will be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit: Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Bayesian TrendEnglish Description (primary)
1. Overview
This script implements a Naive Bayesian classifier to estimate the probability of an upcoming bullish, bearish, or neutral move. It combines multiple indicators—RSI, MACD histogram, EMA price difference in ATR units, ATR level vs. its average, and Volume vs. its average—to calculate likelihoods for each market direction. Each indicator is “binned” (categorized into discrete zones) and assigned conditional probabilities for bullish/bearish/neutral scenarios. The script then normalizes these probabilities and paints bars in green if bullish is most likely, red if bearish is most likely, or blue if neutral is most likely. A small table is also displayed in the top-right corner of the chart, showing real-time probabilities.
2. How it works
Indicator Calculations: The script calculates RSI, MACD (line and histogram), EMA, ATR, and Volume metrics.
Binning: Each metric is converted into a discrete category (e.g., low, medium, high). For example, RSI < 30 is binned as “low,” while RSI > 70 is binned as “high.”
Conditional Probabilities: User-defined tables specify the conditional probabilities of each bin under three hypotheses (Up, Down, Neutral).
Naive Bayesian Formula: The script multiplies the relevant conditional probabilities, normalizes them, and derives the final probabilities (Up, Down, or Neutral).
Visualization:
Bar Colors: Bars are green when the Up probability exceeds 50%, red for Down, and blue otherwise.
Table: Displays numeric probabilities of Up, Down, and Neutral in percentage terms.
3. How to use it
Add the script to your chart.
Observe the colored bars:
Green suggests a higher probability for bullish movement.
Red suggests a higher probability for bearish movement.
Blue indicates a higher probability of sideways or uncertain conditions.
Check the table in the top-right corner to see exact probabilities (Up/Down/Neutral).
Use the input settings to adjust thresholds (RSI, MACD, Volume, etc.), define alert conditions (e.g., when Up probability crosses 50%), and decide whether to trigger alerts on bar close or in real-time.
4. Originality and usefulness
Originality: This script uniquely applies a Naive Bayesian approach to a blend of classic and volume-based indicators. It demonstrates how different indicator “zones” can be combined to produce probabilistic insights.
Usefulness: Traders can interpret the probability breakdown to gauge the script’s bias. Unlike single indicators, this approach synthesizes several signals, potentially offering a more holistic perspective on market conditions.
5. Limitations
The conditional probabilities are manually assigned and may not reflect actual market behavior across all instruments or timeframes.
Results depend on the user’s choice of thresholds and indicator settings.
Like any indicator, past performance does not guarantee future results. Always confirm signals with additional analysis.
6. Disclaimer
This script is intended for educational and informational purposes only. It does not constitute financial advice. Trading involves significant risk, and you should make decisions based on your own analysis. Neither the script’s author nor TradingView is liable for any financial losses.
Русское описание (Russian translation, optional)
Этот индикатор реализует наивный Байесовский классификатор для оценки вероятности предстоящего роста (Up), падения (Down) или бокового движения (Neutral). Он комбинирует несколько индикаторов—RSI, гистограмму MACD, разницу цены и EMA в единицах ATR, уровень ATR относительно своего среднего значения и объём относительно своего среднего—чтобы вычислить вероятности для каждого направления рынка. Каждый индикатор делится на «зоны» (low, mid, high), которым приписаны условные вероятности для бычьего/медвежьего/нейтрального исхода. Скрипт нормирует эти вероятности и раскрашивает бары в зелёный, красный или синий цвет в зависимости от того, какая вероятность выше. Также в правом верхнем углу отображается таблица с текущими значениями вероятностей.
Acceleration Bands HTF
This version gives you the ability to see the indicator from the HIGHER timeframes when you are on the timeframes. Please note that this is not the original formula, but a factored one that I found effective for identifying market trends. Thanks to @capissimo who provided the base open-code.
Acceleration Bands are designed to capture potential price breakouts or reversals in an asset. They are calculated based on a stock's price movements over a specified period, typically using the high, low, and closing prices. The idea is to identify moments when the price is accelerating (hence the name) beyond its normal range, which might indicate the beginning of a new trend.
Calculation
Acceleration Bands consist of three lines:
Upper Band (AB Upper): This is calculated by adding a certain percentage of the simple moving average (SMA) to the highest high over a given period.
Middle Band: This is typically the SMA of the stock's price.
Lower Band (AB Lower): This is calculated by subtracting the same percentage of the SMA from the lowest low over a given period.
Mathematically :
AB Upper = SMA + (Highest High * Percentage)
AB Lower = SMA - (Lowest Low * Percentage)
OR
Upper Band = SMA x (1 + (High - Low) / SMA)
Lower Band = SMA x (1 - (High - Low) / SMA)
Interpretation
The bands are used to identify periods when the price of a security is accelerating or decelerating:
Breakout Above Upper Band: This is usually considered a bullish signal, suggesting that the price is accelerating upwards and a new uptrend may be starting.
Breakdown Below Lower Band: This is usually considered a bearish signal, suggesting that the price is accelerating downwards and a new downtrend may be starting.
Reversal Between Bands: When the price re-enters the region between the bands after breaking out, it can be seen as a potential reversal signal.
Trading Strategy
Entry Signals:
Buy when the price breaks above the upper band.
Sell or short when the price breaks below the lower band.
Exit Signals:
Close a long position when the price falls back into the area between the bands.
Close a short position when the price rises back into the area between the bands.
Advantages
Helps capture early trends.
Can be used across various time frames and assets.
Provides clear entry and exit signals.
RS ScanOverview
The RS Scan indicator helps traders analyze a stock's relative strength and volatility using multiple key metrics. It provides insights into where the stock is closing within its daily and weekly ranges, how far it has moved from its 52-week high, and how its price changes compare to its Average Daily Range (ADR).
Key Features
✅ Daily Close Range% – Shows the stock’s closing position within the day’s high-low range.
✅ Weekly Close Range% – Displays the stock’s closing position within the weekly high-low range.
✅ Stock Price Change% – Measures how much the stock has moved relative to its 52-week high.
✅ ADR% (Average Daily Range) – Calculates the stock’s average daily volatility over a given period (default: 20 days).
✅ ADR off 52W High – Indicates how many ADR multiples the stock has moved from its 52-week high.
How to Use
Identify Strength: Stocks closing near the high of their daily/weekly range show strong momentum.
Measure Volatility: The ADR% helps traders understand expected price fluctuations.
Detect Weakness: A stock trading far below its 52-week high with a low close range may indicate weakness.
Compare Price Change vs. ADR: If a stock is significantly down from its 52-week high but within a small ADR range, it may be consolidating.
Screening Example: If SPY is currently less than -3 ADR from its 52-week high, we can filter for stocks that are performing stronger by selecting those above -3 ADR. This helps in identifying stocks with relative strength compared to the broader market.
This indicator is useful for momentum traders, swing traders, and those tracking relative strength.
🚀 Try it out and enhance your trading decisions!
PRC-EPMA | QuantEdgeB Introducing PRC-EPMA by QuantEdgeB
Overview
The PRC-EPMA (Percentile-Endpoint Moving Average) is a sophisticated trading indicator developed for traders looking to capitalize on trend shifts with enhanced filtering mechanisms. It blends Endpoint Moving Averages, Percentile Rank, and Median Absolute Deviation (MAD) Filtering to generate high-probability long and short signals.
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Key Features
🔹 1. Endpoint Moving Average (EPMA):
- A regression-based moving average that adapts quickly to price movements.
- Uses a linear regression slope to project future price direction.
- Helps traders identify trend direction more responsively than traditional moving averages.
🔹 2. Percentile Rank-Based Dynamic Levels:
- Identifies overbought (75th percentile) and oversold (25th percentile) zones.
- Dynamically adjusts based on historical data, making it robust across different market conditions.
🔹 3. Median Absolute Deviation (MAD) Filtering:
- An advanced volatility filter that refines entry and exit points.
- Reduces noise by filtering out weak signals, focusing only on meaningful trend shifts.
- Uses two multipliers (long and short) to fine-tune sensitivity.
🔹 4. Signal Generation:
- 📈Long Signal: Triggered when price closes above the upper dynamic threshold.
- 📉Short Signal: Triggered when price closes below the lower dynamic threshold.
- Uses color-coded candles to visually indicate trend shifts.
- Optional signal labels can be enabled for clear entry/exit indications.
🔹 5. Customizable Visualization:
- Multiple color themes to match user preferences.
- Ability to overlay signals on price charts.
- Alerts available for long & short crossovers.
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How It Works
1. The script calculates an Endpoint Moving Average based on a user-defined period.
2. It computes the 75th and 25th percentile ranks of the Endpoint Moving Average.
3. Median Absolute Deviation (MAD) Filtering is applied to reduce false breakouts.
4. A buy (long) or sell (short) signal is triggered when price crosses the respective filtered percentile levels.
5. Alerts and labels can be used to notify traders of new signals.
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Behavior across Crypto Majors (Using Default Settings)
BTC
ETH
SOL
Note : Past behaviour is not indicative of future results. Always conduct thorough testing and risk management before making trading decisions.
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Best Use Cases
📌 Trend Confirmation – Use EPMA to confirm if a trend is strengthening or weakening.
📌 Noise Reduction – MAD filtering prevents reacting to minor fluctuations, focusing on stronger trend shifts.
📌 Multi-Timeframe Scalability – Works across multiple timeframes (1H, 4H, Daily, etc.), depending on the trader’s strategy.
⚙️ Customizable Inputs ⚙️
- Endpoint Moving Average Lookback Length
- Percentile Rank Length
- MAD Filter Sensitivity (Multipliers for Long & Short)
- Signal Labels & Alerts for Long/Short Entries
- Color Theme Selection
Default Setup for PRC-EPMA
Linear Regression Length → 4
Endpoint Lookback → 14
Percentile Length → 21
Median Period (Absolute Deviation Filter) → 21
Upper Multiplier (Absolute Deviation Filter) → 1.8
Lower Multiplier (Absolute Deviation Filter) → 0.9
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Final Thoughts
The PRC-EPMA Indicator is a powerful tool for traders seeking high-quality entry and exit signals based on statistical and regression-based methodologies. By combining EPMA, Percentile Rank, and MAD Filtering, it ensures that only strong and validated signals are executed, making it a great addition for trend-followers and mean-reversion traders alike.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
EMA Adaptive Trailing StopThe EMA Adaptive Trailing Stop Strategy is a versatile and comprehensive Pine Script designed for TradingView. This script provides an adaptive trailing stop mechanism that leverages the Exponential Moving Average (EMA) to adjust trailing stops based on market conditions. The strategy dynamically switches between trending and ranging markets by utilizing both Average True Range (ATR) and Average Directional Index (ADX) to detect market conditions.
Key Features:
EMA-Based Trailing Stop:
The script uses the EMA value to set trailing stops precisely. The EMA offers a more responsive calculation to price changes, ensuring closer and more accurate trailing stops that follow market movements effectively.
Market Condition Detection:
The script employs ATR and ADX to distinguish between trending and ranging markets. ATR measures market volatility, while ADX gauges trend strength. The combination of these two indicators provides a more accurate market condition detection.
Customizable Settings:
The script offers various flexible parameters to adjust EMA length, multipliers, and ATR length. Users can customize these settings according to their preferences and trading strategy.
Two Modes:
The script adapts to market conditions by providing two modes: trending mode and ranging mode. In trending mode, the trailing stop is tighter to follow price movements closely, whereas in ranging mode, the trailing stop is looser to accommodate lower volatility.
Entry and Exit Conditions:
The script detects market conditions to set buy and sell signals. These conditions include the calculations of EMA, ATR, and ADX to ensure the signals generated are valid and profitable.
Alerts:
The script provides buy and sell signals through alert conditions for efficient trade management. Users can enable these alerts to get real-time notifications when valid buy or sell signals are detected.
Suitable for Scalping and Swing Trading:
The script is well-suited for both scalping and swing trading strategies. Scalpers can benefit from the responsive and tighter trailing stops during trending conditions, while swing traders can take advantage of the adaptive and looser trailing stops during ranging conditions, allowing them to capture larger price movements.
Explanation of Mode 1 and Mode 2:
Mode 1: Trending Market:
In this mode, the market is identified as trending based on the ADX and ATR values.
LONG 1: This label indicates a buy signal in the trending market mode. It signifies that the trailing stop has been activated and a long position (buy) should be taken when the market is trending.
SHORT 1: This label indicates a sell signal in the trending market mode. It signifies that the trailing stop has been activated and a short position (sell) should be taken when the market is trending.
Mode 2: Ranging Market:
In this mode, the market is identified as ranging based on the ADX and ATR values.
LONG 2: This label indicates a buy signal in the ranging market mode. It signifies that the trailing stop has been activated and a long position (buy) should be taken with a looser trailing stop when the market is ranging.
SHORT 2: This label indicates a sell signal in the ranging market mode. It signifies that the trailing stop has been activated and a short position (sell) should be taken with a looser trailing stop when the market is ranging.
Technical Usage:
Variable Initialization:
The script initializes variables to store values such as trailing stop, long position status, and short position status.
Market Condition Detection:
The script calculates ATR and ADX values to detect whether the market is trending or ranging. This includes the use of f_adx function to calculate ADX values and determine market conditions.
EMA-Based Trailing Stop Calculation:
The script adjusts the trailing stop based on EMA values and ATR. The calculation involves customizable multipliers and parameters that influence the trailing stop's precision.
Plot Trailing Stop:
The script displays the trailing stop on the chart for clear visualization. This includes plotting the trailing stop line with appropriate colors to indicate long and short positions.
Entry and Exit Conditions:
The script determines the entry (buy) and exit (sell) conditions based on market condition detection and trailing stop settings. These conditions are crucial for generating valid buy or sell signals.
Plotshape and Alert:
The script provides plotshapes for buy and sell signals and sets up alert conditions for real-time notifications when a valid buy or sell signal is detected.
GARCH(1,1) [victhoreb]Generalized Autoregressive Conditional Heteroskedasticity p,q = 1 (GARCH(1,1))
The GARCH model is a generalized version of the ARCH statistical model, which describes the variance of the current error term (innovation) as a function of the magnitudes of the previous periods' error terms. Essentially, the GARCH model provides an estimate of the average volatility.
The model assumes that the time series { xₜ | t ∈ T } is given by:
xₜ = μₜ + εₜ
where:
- μₜ is the conditional mean of the series.
- εₜ represents the residual shocks, defined as above, and it is assumed that εₜ ∼ N(0, σₜ²) (this assumption, although important for statistical inference, may not hold perfectly in practice as residuals can exhibit heavier tails).
The conditional variance is estimated by:
σₜ₊₁² = ω + α · εₜ² + β · σₜ²
where:
- ω is a constant ensuring the variance remains positive;
- α measures the impact of recent shocks (the effect of the squared residuals);
- β represents the persistence of past volatility.
(!) It is important that α + β < 1 for the process to be stationary.
(!) The parameters ω, α, and β are assumed to be non-negative real numbers.
Here, σₜ₊₁ represents the forecasted volatility for the next period (t+1).
ADDITIONAL NOTES:
1. In the first bar, the future conditional variance σₜ₊₁² is defined as εₜ². This initialization is arbitrary and serves to start the recursive process. Alternative initialization methods may be used depending on the data.
2. The normality assumption εₜ ∼ N(0, σₜ²) facilitates statistical inference, though in practice the residuals might not follow a perfect normal distribution. Statistical tests and graphical analysis can be applied to assess normality and, if necessary, alternative distributions (such as Student's t or GED) may be employed.
3. The conditional mean μₜ is estimated using a weighted moving average (WMA) of the hl2 value (the average of the high and low), which acts as a proxy for the level of the series. In this setup, xₜ is set to hl2, and the model computes the conditional volatility for the next bar.
ADDITIONAL INDICATOR (MA):
An extra moving average (MA) calculated using GARCH(1,1) is plotted on the chart (its plot is optional and it can be changed in the indicator settings).
Weighted SD Bands | QuantEdgeBIntroducing Weighted SD Bands by QuantEdgeB
Overview
The Weighted SD Bands is a valuation and mean-reversion analysis tool that dynamically adjusts to price movements, helping traders identify potential overbought and oversold conditions. Built on a Weighted Moving Average (WMA), this indicator plots Standard Deviation (SD) bands around price action, highlighting extremes and potential reversal zones.
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Key Features
✅ Adaptive Valuation Model – Uses weighted price action to determine key valuation zones.
✅ Mean Reversion Analysis – Identifies extended deviations from fair value to spot reversal opportunities.
✅ Multi-Tier SD Bands – Provides multiple deviation levels to assess varying degrees of price stretch.
✅ Dynamic Color Coding – Highlights areas of extreme overvaluation or undervaluation.
✅ Reversal Signals – Generates Buy/Sell signals when price crosses the outer bands.
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How It Works
- A Weighted Moving Average (WMA) serves as the baseline (fair value).
- Standard Deviation Bands expand dynamically based on historical volatility.
- Extreme levels (±2 SD) signal potential trend exhaustion/reversal.
- Buy signals appear when price crosses below the lower 2 SD band.
- Sell signals appear when price crosses above the upper 2 SD band.
_____
Visual Representation
🔹 Gradient-filled bands help visualize price stretching beyond typical fluctuations.
🔹 Triangular markers indicate potential reversal points at extreme SD levels.
🔹 Background highlights mark high-risk valuation zones.
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Settings & Customization
- Lookback Length (WMA): Adjust the moving average period to control sensitivity. (default: 20)
- Source : Select the base source for the calculation. (default: close)
- SD Length: Modify the standard deviation period to fine-tune band width. (default: 30)
- Color Mode: Choose from multiple visualization themes.
_____
Who Should Use It?
📌 Mean-Reversion Traders – Spot high-probability reversal zones.
📌 Valuation-Based Investors – Identify fair value and extended price levels.
📌 Trend-Following Traders – Use SD bands to manage risk and spot potential pullbacks.
_____
Conclusion
The Weighted SD Bands indicator is a powerful tool for valuation and mean-reversion trading, providing dynamic fair value zones, extreme-level signals, and customizable SD bands to refine market timing. Whether you're trading pullbacks, rebalancing positions, or spotting reversals, this model helps you stay ahead of market inefficiencies.
🔹 Disclaimer: This tool is for educational purposes only and is not financial advice. Always conduct your own research before making investing decisions
Bollinger Bands by Abu ElyasBollinger Bands with Adjustable Stop Loss (Long-Only)
This strategy uses a Bollinger Band breakout approach to enter long positions and incorporates an adjustable stop loss for risk management.
Below is an overview of the logic, parameters, and usage instructions.
1. Bollinger Bands Logic
Basis (Middle Band): A moving average (type selectable by the user) of the chosen source, typically the closing price.
Upper Band: The basis plus a specified number of standard deviations (user-defined multiplier).
Lower Band: The basis minus the same number of standard deviations.
2. Entry Triggers
The strategy enters a long position when the close price rises above the upper Bollinger Band , suggesting a potential bullish breakout.
This logic is only applied within a user-specified date range (adjustable in the strategy’s inputs).
3. Exit Triggers
1. Bollinger Band Exit:
If the close price drops below the lower Bollinger Band , the strategy closes the position, indicating a loss of bullish momentum.
2. Stop Loss Exit:
A default 8% stop loss is set, which automatically exits the trade if the close falls 8% below the entry price.
This stop-loss percentage is adjustable from the strategy’s settings, allowing users to tailor risk based on their preferences.
3. Date Range:
If the current bar is outside of the specified start/end dates, the strategy will also exit any open positions.
4. Position Sizing & Other Settings
1- Position Size:
By default, the script uses 100% of account equity for each trade.
2- Commissions & Slippage:
Commission is set to 0%, and slippage is set to 3 ticks.
3- Timeframe Handling:
You can select a custom timeframe or leave it blank to use the chart’s timeframe.
5. Customization
1. Bollinger Bands Parameters:
Length of the moving average, type of moving average (SMA, EMA, etc.), and the standard deviation multiplier can be adjusted.
2. Stop Loss (%)
The default stop loss of 8% can be changed in the script’s input settings to any percentage you prefer.
3. Date Filter:
Modify the start/end dates to control the historical period over which the strategy executes trades.
6. Notes & Best Practices
1- No Short Trades:
This is a long‐only strategy. It will either be in a long position or flat (no open position).
2- Risk Management:
An 8% stop loss may or may not align with your personal risk tolerance. Always adjust according to market conditions and your own trading style.
3- Market Gaps & Volatility:
In highly volatile markets, slippage or gaps can cause the actual exit price to be worse than the intended stop-loss level.
4- Test Thoroughly:
Backtest on different timeframes and market conditions. No single strategy works in all scenarios.
7. Disclaimer
Educational Use Only: This script is for informational and illustrative purposes and should not be considered financial advice.
No Guarantee of Profit: Past performance does not guarantee future results. Trading involves substantial risk, and it is possible to lose more than your initial investment.
Consult a Professional: Always consult a qualified financial advisor before making investment decisions.
Use this script as a foundation and personalize it based on your trading style, tolerance for drawdowns, and market conditions.
Fixed Date VWAP [victhoreb]**Fixed Date VWAP**
Fixed Date VWAP is a custom TradingView indicator that provides a versatile method for calculating the Volume Weighted Average Price (VWAP) by anchoring the calculation either to a specific fixed date or to a defined period (such as daily, weekly, or monthly). This dual approach allows traders to customize the VWAP based on their preferred time frame, making it ideal for both short-term and long-term analysis.
**Key Features:**
- **Dual Anchoring Options:**
- *Fixed Date:* Begin the VWAP calculation from a user-defined date. The fixed date can be easily selected either by dragging the vertical date bar directly on the chart or through the settings panel.
- *Period:* Reset the calculation at the start of each chosen time frame (e.g., daily, weekly, monthly, etc.).
- **Customizable Deviation Bands:**
Up to three sets of deviation bands are plotted around the VWAP. Each band uses user-defined multipliers to determine its distance from the VWAP, helping to identify potential support, resistance, and volatility areas.
- **Visual Customization:**
Users can adjust the visibility of each band, choose their preferred colors, and enable a fill between the bands for enhanced chart readability.
- **Flexible Anchoring Utility:**
One of the major benefits of Fixed Date VWAP is its ability to adapt the anchor point to significant chart events, such as pivot points, enhancing the relevance of the VWAP in technical analysis.
Whether you're analyzing intraday movements or broader market trends, Fixed Date VWAP offers a dynamic and flexible perspective on price action, supporting more informed and strategic trading decisions.
POC-Candle-EMA-ATR-LongShadow-50percCandleThis is a script for those who trade based on volume and smart money strategies.
Some of the features of this script:
- Display "Time Price Opportunity Chart". These points help traders to identify price opportunities over time and have a better analysis of the market.
- Mark candles that have traded more volume than previous candles.
- Mark candles whose body is at least and not more than 50% of the total candle size, these candles can be found more easily in smart money strategies.
- Mark spike candles to find FVG faster
- Mark candles that have a shadow of at least more than 380 points and can be good reversal points.
- EMA indicator to check the market trend
- DonchianChannel indicator to check the price trend on the chart
Regards
Enhanced BarUpDn StrategyEnhanced BarUpDn Strategy
The Enhanced BarUpDn Strategy is a refined price action-based trading approach that identifies market trends and reversals using bar formations. It focuses on detecting bullish and bearish momentum by analyzing consecutive price bars and key support/resistance levels.
Key Features:
✅ Trend Confirmation – Uses a combination of bar patterns and indicators (e.g., moving averages, RSI) to confirm momentum shifts.
✅ Entry Signals – A buy signal is triggered when an "Up Bar" (higher high, higher low) follows a bullish setup; a sell signal when a "Down Bar" (lower high, lower low) confirms bearish momentum.
✅ Enhanced Filters – Incorporates volume analysis and additional conditions to reduce false signals.
✅ Stop-Loss & Risk Management – Uses recent swing highs/lows for stop placement and dynamic trailing stops for maximizing gains.
Shavarie's MCV IndicatorShavarie's MCV Indicator (MACD + CCI + Volume Delta) is a custom-built trend-following and volume-based indicator that helps traders confirm market direction with high accuracy. It combines the MACD (Moving Average Convergence Divergence), CCI (Commodity Channel Index), and Volume Delta, ensuring that all three indicators align before making a trading decision. The goal is to filter out false signals and provide high-probability trade setups.
History & Development
Shavarie's MCV Indicator was developed by Shavarie Gordon, an experienced swing trader, to improve trend confirmation on Gold (XAUUSD) and other markets. After testing various indicators, Shavarie discovered that MACD, CCI, and Volume Delta together provide the best combination of trend strength, momentum, and real-time volume flow. This indicator was designed to eliminate lagging signals, improve win rates, and enhance market timing for both swing and scalping strategies.
How It Works & Calculations
MACD (Moving Average Convergence Divergence)
Measures momentum and trend strength using the difference between a 12-period EMA and a 26-period EMA.
The MACD line and Signal line crossover confirms buy/sell signals.
A rising MACD histogram confirms bullish strength, while a falling histogram confirms bearish strength.
CCI (Commodity Channel Index)
Measures how far the price is from its statistical average.
Above +100 → Overbought (strong trend continuation or reversal).
Below -100 → Oversold (strong trend continuation or reversal).
When CCI aligns with MACD, it confirms momentum strength.
Volume Delta
Measures the difference between buying and selling volume in real time.
A positive delta means more aggressive buying (bullish).
A negative delta means more aggressive selling (bearish).
Helps confirm MACD and CCI trends by showing real volume strength.
Key Takeaways & Features
✅ No false signals: All three indicators must align before entering a trade.
✅ Trend confirmation: Ensures momentum and volume agree before trading.
✅ Works on multiple timeframes: Designed for swing trading on the daily and scalping on 45 min + 5 min.
✅ Great for Gold & Metals: Optimized for XAUUSD, XAUJPY, XAU/AUD, and possibly Palladium (XPDUSD).
✅ Custom-built by a professional trader: Developed by Shavarie Gordon after extensive testing.
Summary
Shavarie’s MCV Indicator is a powerful and reliable trading tool that combines momentum, trend, and volume analysis. By ensuring that MACD, CCI, and Volume Delta align, it eliminates false signals and increases trade accuracy. Whether used for swing trading or scalping, this indicator helps traders enter high-probability trades with confidence.
IronBot v4IronBot v4 – Trading Strategy Overview
1. Quick Context
IronBot v4 is a trading strategy designed for users who want a simple yet effective approach to reading the markets. It uses a combination of Fibonacci retracement levels, custom logic triggers, and innovative modules (EMA validation, Iron Impulse Shield and Iron Auto Volume Detector) to identify potential entry and exit points, strengthening the strategy’s detection of sudden market volatility or shifts in trading volume.
2. Theoretical Details
Fibonacci Analysis
The script identifies recent market highs and lows, then calculates key Fibonacci levels (high- and low-based). These levels can help confirm potential reversals or trends.
EMA Option
When enabled, the exponential moving average (EMA) offers additional validation for trade entries. If the current price remains above a certain EMA threshold, long positions may be favored; conversely, if it stays below the EMA, short positions may be initiated.
IIS (Iron Impulse Shield)
IIS helps to filter out risky trades by measuring recent price shocks or surges. If an extreme movement is detected, the strategy may temporarily disable longs or shorts to avoid false signals.
IAVD (Iron Auto Volume Detector)
This functionality automatically detects the average market volume over a defined period (regardless of the market, since it relies on real data). When entering a position, it ensures that overall volume is high enough to confirm a genuinely active, robust market. By providing an additional filter, it can strengthen the decision-making process whenever the market’s participation level is in question.
Panel
IronBot v4 displays a real-time backtest panel that summarizes the selected configuration (including the current pair, analysis window, enabled filters), as well as showing net profit, applicable exchange fees, country taxes, and the final net balance. This gives traders an immediate overview of strategy performance and risk metrics.
What Pinescript Adds Visually
The script plots:
Fibonacci levels (highlighting potential reversal zones)
Trend lines indicating bullish (green) or bearish (red) lean
Optional EMA line
Optional Fibonacci forecast lines for anticipating future moves
Automatic labeling of entry, take-profit, and stop-loss levels, indicating the profit percentage of each trade.
3. Explanation of Inputs
The strategy exposes multiple inputs that can be toggled or configured by the user:
Analysis Window : Dictates how many bars to consider for high/low calculations and the fib retracement thresholds.
TRADES
Display TP/SL: For displaying Take profits and Stop loss.
Display Forecast: When enabled, this feature calculates and projects possible future Fibonacci retracements using historical data, helping traders anticipate potential upcoming trade setups.
Leverage: Only used for the Panel and not for trades. Lets you amplify your position size; higher leverage increases potential gains but also heightens risk. TradingView strategy is using properties for doing this.
Exchange Maker Fees & Exchange Taker Fees: Only used for the Panel and not for trades. Define the percentage cost applied by your exchange for maker and taker trades, respectively. These fees are accounted for in final profit calculations of the Panel.
Country Tax: Only used for the Panel and not for trades. Specifies a tax percentage to be deducted from net profits.
STOP LOSS and TAKE PROFITS
Stop-Loss & Take-Profit Parameters: Controls the percentage distances at which the strategy will exit positions. Additionally, you can configure up to four distinct take-profit levels (TP1 through TP4). Each level should be higher target than the previous one, and you can assign a specific percentage of the total position to close at each TP, ensuring the sum equals 100%. A break-even feature is also available when multiple TPs are used.
EMA
EMA (Exponential Moving Average) Option: When enabled, the strategy opens long trades only if the current price is above the specified EMA length, and opens short trades only if it is below that threshold.
PANELS
Show Panel: For displaying the backtest integrated panel.
IRON IMPULSE SHIELD (IIS)
IIS (Iron Impulse Shield) Option: When enabled, IIS continuously monitors recent price volatility depending on the analysis window set. If the market experiences an extreme surge or drop beyond a specified threshold, IIS temporarily blocks new long or short positions.
IRON AUTO VOLUME DETECTOR (IAVD)
IAVD (Iron Auto Volume Detector) Option: When enabled, it continuously measures the average market volume over a special period, irrespective of the specific trading pair. This ensures that IronBot v4 focuses on markets with robust participation, reducing the likelihood of entering trades during low-liquidity conditions.
By changing these values, IronBot v4 reacts differently to market structure and risk management requirements. Stop-loss and take-profit levels will adjust accordingly, while advanced filters (like EMA or IIS) influence when trades can open.
4. TradingView Strategy Properties
IronBot v4 uses the built-in TradingView “strategy” functionality. In particular:
Order Placement: The code calls strategy.entry() and strategy.close() for direct orders, ensuring signals are sent immediately (no limit orders are used). This helps connect with exchange signal bots for automated execution.
Initial Capital: The code uses initial capital defined in properties for calculating Net balance in the integrated panel.
On bar close: This strategy fill orders on bar close.
Pyramiding: This strategy can take only 1 successive trade in the same direction
Be careful to configure your leverage input depending on your strategy properties.
5. Visualization
5. Purpose & Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always confirm your own risk tolerance and consult a financial professional before placing live trades. Trading leveraged products can involve substantial risk of loss.
GVWD | QuantumResearch QuantumResearch GVWD – Gaussian Volume-Weighted Deviation
The GVWD (Gaussian Volume-Weighted Deviation) is a powerful trend-following and volatility-based indicator that integrates Gaussian smoothing, volume-weighted price action, and adaptive ATR-based deviation bands. This combination allows traders to analyze market trends with enhanced precision while filtering out short-term noise. 🚀📊
1. Key Features
Gaussian Smoothing – Uses a Gaussian-weighted filter to refine price trends and remove noise. 📉📈
Volume-Weighted Adaptation – Incorporates volume-based price weighting for more responsive trend detection . 🔄
ATR-Based Deviation Bands – Dynamic upper and lower bounds adjust to market volatility for trend confirmation. ⚖️
Multi-Level Smoothing – Three levels of EMA smoothing on Gaussian-filtered data for layered analysis. 🎛️
Color-Coded Trend Visualization – Dynamic bar colors and background fills for clear market state identification. 🎨
Automated Alerts – Built-in Long/Short alerts for trade signal confirmation. 🔔
2. How It Works
A. Gaussian Filtered Price Calculation
Applies a Gaussian smoothing function to price data for trend refinement.
Weights price movements based on statistical deviation (sigma parameter) for precise trend estimation.
Filters out short-term market noise to capture the core trend movement.
B. Volume-Weighted Gaussian EMA
The filtered price is volume-weighted to prioritize significant moves.
Uses adaptive exponential smoothing to enhance trend sensitivity.
Ensures that high-volume price movements have more impact on the final output.
C. ATR-Based Deviation Bands
Calculates an adaptive range based on ATR (Average True Range).
Multiplier settings allow custom deviation tuning for different market conditions.
The upper and lower bounds define zones for trend continuation or potential reversals.
D. Signal Generation
Bullish Trend: When price is above the Gaussian EMA + ATR Upper Band. ✅
Bearish Trend: When price is below the Gaussian EMA - ATR Lower Band. ❌
Long Signal: Triggered when the trend shifts bullish.
Short Signal: Triggered when the trend shifts bearish.
3. Visual Representation
A. Color-Coded Trend Signals
Green Bars: Indicates a strong uptrend. 🟢
Blue Bars: Indicates a confirmed downtrend. 🔴
Gray Bars: Neutral or consolidation phase. ⚪
B. Multi-Level Gaussian EMA Smoothing
EMA 1 (Medium-Term): Serves as the primary trend-following line.
EMA 2 (Longer-Term): Acts as a higher timeframe confirmation.
EMA 3 (Extended Smoothing): Provides an even more stable view of price action.
C. Background Fill Based on Trend Strength
Stronger Trends: Brighter green/blue background.
Weaker Trends: Lighter shades indicate reduced momentum.
4. Customization & Parameters
Gaussian Smoothing Parameters: Adjust the sigma value to fine-tune the filter strength.
Volume-Weighted EMA Length: Select how far back price movements are weighted by volume.
ATR-Based Deviation Bands: Modify upper and lower multipliers for different volatility conditions.
Color Modes: Choose from 8 predefined color schemes for improved visualization.
5. Backtest & Market Applications
Backtest Summary :
The GVWD Indicator has been tested across various assets, including:
BTC/USD
ETH/USD
SOL/USD
📊 Key Observations:
Smooth Trend Identification: Gaussian smoothing helps filter noise without excessive lag.
Volume Sensitivity Enhances Responsiveness: Prioritizes high-volume trend confirmations.
ATR Bands Help Define Entry & Exit Points: Useful for position management and risk control.
⚠️ Disclaimer: This indicator is designed to complement existing analysis techniques . Market conditions vary, and no tool can guarantee future performance. Always use proper risk management when trading.
6. Final Thoughts
The GVWD Indicator is a hybrid Gaussian smoothing and volatility-based trend tool that combines multiple advanced statistical techniques for trend analysis.
By removing noise and adapting to volume-based price movements, GVWD helps traders identify meaningful trend shifts.
Designed for multi-timeframe analysis, it can be used across different market conditions.
Important Reminder: No single indicator guarantees profitability. Always validate signals with additional market context. 📊
FVG | iSolani
Unveiling Market Inefficiencies with Precision
In fast-moving markets, spotting hidden opportunities often hinges on identifying imbalances between price and value. The FVG | iSolani indicator revolutionises this process by detecting Fair Value Gaps (FVGs) —zones where price action skips over "fair" valuation levels, creating potential retracement targets. Combining advanced filtering, dynamic visualisation, and automated management, this tool empowers traders to pinpoint high-probability setups with unprecedented clarity.
Core Methodology
The indicator employs a multi-layered approach to identify FVGs:
Three-Bar Gap Analysis: Bullish FVGs form when the current low exceeds the high of two bars prior, while bearish FVGs occur when the current high stays below the low of two bars back.
Volatility-Adjusted Filtering: Gaps are measured against a 100-bar standard deviation to exclude insignificant price jumps.
Volume Confirmation: Only gaps accompanied by above-average volume (relative to a 1-bar SMA) are validated, filtering out low-conviction moves.
Auto-Invalidation System: Continuously monitors price action to remove FVG zones once price closes within their range, maintaining chart cleanliness.
Breaking New Ground
This tool introduces three paradigm-shifting innovations:
Volume-Weighted Significance: Unlike traditional FVG detectors, it ties gap validity to volume spikes, emphasising institutional activity.
Adaptive Zone Management: Boxes automatically extend rightward (when enabled) and self-destruct when invalidated, eliminating manual cleanup.
Smart Color Encoding: Offers both monochrome (for multi-timeframe analysis) and standard bull/bear color schemes, with customisable transparency.
Engine Under the Hood
The script operates through four key processes:
Gap Detection: Scans every new bar for three-candle patterns meeting FVG criteria.
Statistical Filtering: Applies user-defined threshold (default: 1σ) to separate meaningful gaps from market noise.
Box Rendering: Draws semi-transparent zones between gap boundaries using TradingView's box objects, styled according to user preferences.
Array-Based Memory: Stores all active FVGs in arrays, enabling real-time validation checks against current price action.
Standard Configuration
Optimised default settings balance visibility and functionality:
Filter: 1.0 (1 standard deviation threshold)
Colors: "Mono" mode (gray boxes) with 90% transparency
Text Labels: Enabled in medium gray
Extension: Gaps extend indefinitely rightward
Borders: Dotted lines with visible outlines
Through its fusion of quantitative rigor and visual adaptability, the FVG | iSolani transforms raw price data into actionable intelligence. By focusing on volume-confirmed gaps and automating zone management, it cuts through market chaos to reveal structurally significant levels—a must-have for traders navigating breakouts, reversals, or order-flow analysis.
Candle Range-BarsThe Candle Range Bars indicator visually represents the range of each candlestick in either pips or ticks, depending on your preference. It plots vertical bars to show the size of each candle, making it easy to identify periods of high or low volatility. The indicator also displays the exact range value (in pips or ticks) above each bar, with customizable text size and color for better readability.
Key Features
Pips or Ticks Mode:
Choose to display the candle range in pips (for forex traders) or ticks (for other instruments).
Customizable Text:
Adjust the text color and text size (Tiny, Small, Normal, Large) to suit your chart style.
Clear Visuals:
Bars are colored green for bullish candles and red for bearish candles, making it easy to distinguish between up and down moves.
Flexible Use:
Ideal for analyzing volatility, identifying consolidation zones, and comparing candle ranges across different timeframes.
How to Use:
Add the indicator to your chart.
Customize the settings:
Choose between pips or ticks.
Adjust the text color and text size for the range values.
Observe the bars and their corresponding range values to analyze market volatility.
Why Use This Indicator?:
Simplify Range Analysis: Quickly see the size of each candlestick without manual calculations.
Customizable: Tailor the appearance to match your trading style.
Versatile: Works on any instrument and timeframe.
Settings:
Show Pips (Otherwise Ticks): Toggle between pips and ticks mode.
Text Color: Choose the color of the range value text.
Text Size: Select the size of the range value text (Tiny, Small, Normal, Large).
Ideal For:
Forex, stocks, commodities, and crypto traders.
Traders who focus on volatility and range analysis.
Anyone looking for a clear and customizable way to visualize candle ranges.
This description highlights the key features, benefits, and usability of your indicator, making it appealing to other TradingView members. Let me know if you'd like to tweak it further! 😊
Sklarew Rule of 7 (with alternative multipliers)Sklarew’s Rule of 7 – A Framework for Projecting Price Movements:
The Rule of 7 is a price projection method developed by Arthur Sklarew, a technical analyst and trader. It is designed to estimate how far a breakout move may extend after price breaks out from a key level.
How the Rule of 7 Works
The method assumes that price moves in measured expansions, using a base move (initial breakout movement) as a reference point. These expansions follow a set of specific multipliers applied to the base move.
Step-by-Step Calculation
1. Identify the Initial Breakout Move
This is the first leg of the trend after a breakout from consolidation.
It can be measured from a swing low to swing high in an uptrend or vice versa in a downtrend.
2. Project Future Price Targets Using Multipliers
Sklarew’s Rule uses four price expansion levels:
1.75 × Initial Move
2.33 × Initial Move
3.50 × Initial Move
7.00 × Initial Move
These levels act as potential profit-taking zones or trend exhaustion points.
Example Calculation
Let’s assume WTI crude oil breaks out from $75 to $80, making a $5 breakout move.
Applying Sklarew’s Multipliers
Target 1: $80 + (1.75 × $5) = $88.75
Target 2: $80 + (2.33 × $5) = $91.65
Target 3: $80 + (3.50 × $5) = $97.50
Target 4: $80 + (7.00 × $5) = $115.00
These price levels provide guidance on where price may extend to and where traders might scale out of positions.
Alternative Multipliers: 1.40, 1.75, 2.33, and 3.50
Some traders modify the original multipliers for different market conditions. Using your alternative set, the projections would be:
Target 1: $80 + (1.40 × $5) = $87.00
Target 2: $80 + (1.75 × $5) = $88.75
Target 3: $80 + (2.33 × $5) = $91.65
Target 4: $80 + (3.50 × $5) = $97.50
This adjusts for different volatility environments while keeping the core principle intact.
How Sklarew’s Rule is Used in Trading
Trend Following: Confirms momentum strength & helps identify targets.
Breakout Trading: Estimates how far a breakout may run before retracing.
Institutional Strategy Influence: Market makers may structure orders around similar measured moves.
MMM MARKET CHAOS TO CLARITY INTELLIGENCE @MaxMaserati# MMM MARKET CHAOS TO CLARITY INTELLIGENCE
## Overview
The MMM MARKET CHAOS TO CLARITY INTELLIGENCE (MMM AI Pro) by MaxMaserati is a sophisticated multi-factor analysis tool that provides comprehensive market insights through a unified dashboard. This system integrates several proprietary components to detect market conditions, trends, and potential reversals.
At its core, this indicator is designed to bring clarity to market complexity by identifying meaningful patterns and establishing order within what often appears as random market chaos
The MMM Intelligence Matrix accomplishes this through its multi-layered approach:
- The MMPD system quantifies market conditions on a clear 0-100 scale, transforming complex price movements into actionable premium/discount levels
- The proprietary candle analysis (MMMC Bias) identifies specific patterns with predictive value
- The integration of volume, momentum, and multi-timeframe analysis creates a comprehensive market context
- The Hot/Cold classification system helps traders distinguish between sustainable moves and overextended conditions
What makes this indicator particularly valuable is how it synthesizes multiple technical factors into clear visual signals and classifications. Instead of leaving traders to interpret numerous conflicting indicators, it presents an organized dashboard of market conditions with straightforward action zones.
## Core Components
### MMPD (Max Maserati Premium and Discount)
- Normalizes price movement on a 0-100 scale:
- **Premium (>50)**: Bullish conditions
- **Discount (<50)**: Bearish conditions
- **Extreme values (>90 or <10)**: Potential reversal zones
### MMMC (Max Maserati Model Candle) Bias
- Analyzes candle patterns to predict behavior:
- **Bullish/Bearish Body Close**: Price closes beyond previous candle's high/low
- **Bullish/Bearish Affinity**: Shows tendency toward continuation
- **Seek & Destroy**: Tests previous levels then breaks in new direction
- **Close Inside**: Closes within previous candle's range with directional bias
- **Plus/Minus**: Indicates slight tendency toward bulls/bears
### PC Strength (Previous Candle Strength)
- Measures percentage power of recent candlesticks
- Analyzes strength across multiple previous candles (PC1, PC2, PC3)
### MVM (Market Volatility Momentum)
- Adaptive moving averages system analyzing multiple timeframes:
- **Short context (8 bars)**: Immediate direction
- **Medium context (21 bars)**: Intermediate validation
- **Long context (55 bars)**: Primary trend confirmation
- **Higher timeframe**: Additional confirmation
### Volume Intelligence System
- Adaptive algorithm comparing current volume to 20-period average
- Identifies significant volume events and thresholds
### Hot/Cold Momentum Classification
- **Strong Bullish/Bearish (Hot)**: Potentially overextended
- **Strong Bullish/Bearish (Cold)**: Strong with room to continue
- **Bullish/Bearish Momentum**: Clear directional bias
- **Mild Bullish/Bearish**: Weak directional bias
### HVC (Highest Volume Candles) Detection
- Triangle markers and sequential stars indicate significant volume-confirmed movements
- Signals potential trend changes and continuation setups
## Dashboard Interface
The customizable dashboard displays:
1. **MMMC Bias**: Candle pattern analysis and direction
2. **Delta MA**: Buy/sell pressure with directional arrows
3. **PC Strength**: Percentage strength of previous candles
4. **Current Trend**: Overall market bias state
5. **MMPD Bias**: Premium/discount context
6. **Short/Medium/Long Term**: Price change percentages
7. **Trend Quality**: Reliability rating
8. **Volume Strength**: Classification (High/Medium/Low)
9. **MMPD Values**: Current level with direction indicator
10. **HTF Trend**: Higher timeframe confirmation
11. **Trend Strength**: Overall momentum measurement
12. **Action Zone**: Trading zone classification
13. **Momentum Strength**: Hot/Cold status
## MMPD Value Classifications
- **EXTREME PREMIUM (>90) ⚠️**: Extremely overbought
- **HIGH PREMIUM (80-90) ↗**: Strong bullish (caution)
- **PREMIUM (65-80) ↗**: Healthy bullish zone
- **LIGHT PREMIUM (50-65) →**: Mild bullish territory
- **LIGHT DISCOUNT (35-50) →**: Mild bearish territory
- **DISCOUNT (20-35) ↘**: Healthy bearish zone
- **HIGH DISCOUNT (10-20) ↘**: Strong bearish (caution)
- **EXTREME DISCOUNT (<10) ⚠️**: Extremely oversold
## Action Zone Classifications
- **MASSIVE BUY/SELL ZONE ★★★**: Very strong bias (Strength >5.0)
- **STRONG BUY/SELL ZONE ★★**: Strong bias (Strength >3.0)
- **MEDIUM BUY/SELL ZONE ★**: Moderate bias (Strength >2.0)
- **LIGHT BUY/SELL ZONE ⋆**: Mild bias (Strength >1.0)
- **SUPER LIGHT BUY/SELL ZONE ·**: Weak bias (Strength <1.0)
- **NEUTRAL ZONE**: No clear directional bias
## Visual Signals
1. **Triangle Markers**: HVC system directional signals (up/down)
2. **Sequential Stars (★)**: Advanced confirmation signals following trend changes
3. **High Volume Highlighting**: Optional candle emphasis for volume events
## Entry Conditions
### Strong Buy Setup
- MMPD Values: PREMIUM or LIGHT PREMIUM
- Hot/Cold Status: "⚠️ Strong Bullish (Cold)" or "↗️ Bullish Momentum"
- Action Zone: MASSIVE or STRONG BUY ZONE
- Volume Strength: High or Medium
- Current Trend: Strong Bullish or Bullish
### Strong Sell Setup
- MMPD Values: DISCOUNT or LIGHT DISCOUNT
- Hot/Cold Status: "⚠️ Strong Bearish (Cold)" or "↘️ Bearish Momentum"
- Action Zone: MASSIVE or STRONG SELL ZONE
- Volume Strength: High or Medium
- Current Trend: Strong Bearish or Bearish
## Exit Conditions
### Exit Long Positions When
- Hot/Cold Status changes to "⚠️ Strong Bullish (Hot)" or "↘️ Bearish Momentum"
- MMPD Values shows EXTREME PREMIUM or HIGH PREMIUM
- Action Zone changes to NEUTRAL ZONE or any SELL ZONE
- Current Trend shows "Bearish Reversal" or "Exiting Overbought"
### Exit Short Positions When
- Hot/Cold Status changes to "⚠️ Strong Bearish (Hot)" or "↗️ Bullish Momentum"
- MMPD Values shows EXTREME DISCOUNT or HIGH DISCOUNT
- Action Zone changes to NEUTRAL ZONE or any BUY ZONE
- Current Trend shows "Bullish Reversal" or "Exiting Oversold"
## Position Sizing Guidelines
- **Full Position (100%)**: Action Zone ★★★/★★, normal momentum, High volume
- **Reduced Position (50-75%)**: "Cold" signal, Action Zone ★, Medium volume
- **Small Position (25-50%)**: Action Zone ⋆, Medium/Low volume, mixed signals
- **No Position**: "Hot" signal, NEUTRAL zone, Low volume
## Special Trade Setups
### Reversal Setups
- **Bullish Reversal**: Transition from EXTREME DISCOUNT, Hot→Cold change, emerging buy signal, high volume
- **Bearish Reversal**: Transition from EXTREME PREMIUM, Hot→Cold change, emerging sell signal, high volume
### Continuation Setups
- **Bullish Continuation**: PREMIUM range, "Cold" signal, strong volume, timeframe alignment, clear Action Zone
- **Bearish Continuation**: DISCOUNT range, "Cold" signal, strong volume, timeframe alignment, clear Action Zone
## Sequential Stars System
- **Sequential Buy Signal**: Bullish star after bearish trend, volume confirmation
- **Sequential Sell Signal**: Bearish star after bullish trend, volume confirmation
## Best Practices
- Check multiple timeframes (prioritize when all align)
- Validate with volume (High >2.5x, Medium >1.2x)
- Assess trend quality (Strong ★★★, Confirmed ★★, Warning ⚠, Transition ↕)
- Handle inside bars/consolidation with additional confirmation
## Technical Considerations
- Based on closed candles for calculations
- Requires reliable volume data
- Higher sensitivity settings may produce more frequent signals
- Extreme readings indicate potential turning points
- Sequential stars require proper trend changes for activation
## Indicator Applicability
- **Markets**: Forex, Crypto, Stocks, Futures, Commodities
- **Timeframes**: 1H+ recommended, 4H/Daily for primary analysis
*Intended for use with the full MMM system. Trading decisions require proper knowledge and risk management.*
Smart Buy/Sell Signal IndicatorOverview
The Smart Buy/Sell Signal Indicator is a multi-factor trading tool that i ntegrates Supertrend, Bollinger Bands, RSI, ADX, and Moving Averages to generate high-probability buy and sell signals. Unlike simple crossover-based strategies, this indicator leverages multiple layers of confirmation to reduce false signals and improve trade execution accuracy.
This indicator is designed for trend-following traders, scalpers, and swing traders, helping them identify key reversal points and momentum shifts with precise breakout conditions.
How It Works
The Smart Buy/Sell Signal Indicator filters out weak trade signals by combining trend, volatility, momentum, and strength indicators in the following manner:
✅ Supertrend-Based Trend Filtering:
• The script checks if the price is above or below the Supertrend level before confirming a buy or sell signal.
• Buy signals occur below the Supertrend Down level, confirming support.
• Sell signals occur above the Supertrend Up level, confirming resistance.
✅ Bollinger Bands for Overbought & Oversold Conditions:
• Buy signals are confirmed when price touches the Bollinger Lower Band (suggesting oversold conditions).
• Sell signals are confirmed when price touches the Bollinger Upper Band (suggesting overbought conditions).
• This ensures that trades occur at high-probability reversal zones, rather than random price action.
✅ RSI Momentum Confirmation:
• Buy trades trigger when RSI is below 50 (indicating strength building from an oversold region).
• Sell trades trigger when RSI is above 50 (indicating weakness forming in an overbought region).
• This ensures signals are momentum-backed and not counter-trend moves.
✅ ADX Strength Confirmation:
• The script filters signals using the ADX (Average Directional Index) to ensure that only trades with sufficient market strength are executed.
• If the ADX value is below a threshold (default: 15), the signal is ignored to prevent false breakouts in choppy markets.
✅ Confirmation Moving Average (MA) for Trend Validation:
• The script applies an additional confirmation filter using a Moving Average (SMA/EMA).
• Buy signals trigger only when the price is above the MA, aligning with trend direction.
• Sell signals trigger only when the price is below the MA, ensuring alignment with the broader market structure.
✅ Trade Cooldown Mechanism (Minimum Bars Between Signals):
• To avoid frequent signals in sideways markets, a cooldown period is implemented.
• Default: 5 bars between signals (adjustable).
• Prevents rapid consecutive trades, reducing false entries.
Key Features
✔️ Supertrend & Moving Average Confirmation – Ensures trades are taken only in the correct trend direction.
✔️ Bollinger Bands Integration – Helps identify high-probability reversal zones.
✔️ ADX Strength Filtering – Ensures trades are only executed when the market has enough strength.
✔️ Momentum-Based RSI Filtering – Avoids counter-trend trades and confirms directional strength.
✔️ Trade Cooldown Mechanism – Reduces overtrading and noise in sideways markets.
✔️ Webhook Alerts for Automation – Auto-execute trades or receive real-time notifications.
✔️ Customizable Inputs – Adjustable thresholds, EMA/SMA length, ADX filter, cooldown period for flexibility.
✔️ Works Across Multiple Timeframes – Suitable for scalping (5m, 15m), swing trading (1H, 4H), and position trading (Daily).
How to Use
📌 Scalping & Intraday Trading:
• Use on 5m, 15m, or 30m timeframes.
• Look for Bollinger Band touch + RSI confirmation + Supertrend support/resistance validation before entering trades.
📌 Swing Trading:
• Use on 1H or 4H timeframes.
• Enter only when ADX is strong and price aligns with Supertrend direction.
📌 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Why This Combination?
This indicator is not just a simple moving average crossover tool.
It is designed to filter out weak breakouts and only execute trades that have:
✅ Trend confirmation (Supertrend + Moving Average)
✅ Volatility filtering (Bollinger Bands for overbought/oversold confirmation)
✅ Momentum validation (RSI threshold filtering)
✅ Market strength requirement (ADX ensures sufficient momentum)
This multi-layered approach ensures that only the highest-quality setups are executed, improving both win rate and reliability.
Why It’s Worth Using?
🚀 Reduces False Breakouts – Avoids weak breakouts by requiring ADX confirmation.
🚀 Works in All Market Conditions – Trend-following logic for trending markets, volatility-based entries for reversals.
🚀 Customizable to Any Trading Style – Adjustable parameters for trend, momentum, and strength filtering.
🚀 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
🚀 Ready to trade smarter?
✅ Add the Smart Buy/Sell Signal Indicator to your TradingView chart today! 🎯🔥
VIXRatio HistogramVIX3M-VIX Difference Histogram Indicator
Overview
This indicator measures the difference between the 3-month VIX (VIX3M) and the standard 30-day VIX, displayed as a color-coded histogram. When the histogram is green, VIX3M exceeds VIX, indicating a normal term structure. When red, the term structure is inverted.
Market Timing Benefits
The VIX3M-VIX spread serves as a powerful market timing tool for daily chart analysis:
- Green Histogram (Positive Spread) : Represents a normal volatility term structure where longer-dated volatility (VIX3M) is priced higher than short-term volatility (VIX). This typically occurs during relatively stable market conditions and signals potentially favorable environments for risk assets.
- Red Histogram (Negative Spread) : Indicates volatility term structure inversion, where short-term volatility expectations exceed longer-term expectations. This pattern often emerges during market stress and can signal heightened risk aversion.
- Transition Points : The crossing of the histogram from positive to negative (or vice versa) frequently precedes significant market turning points, offering early warning signals for potential trend changes.
- Magnitude Awareness : The size of the histogram bars indicates the intensity of the relationship – larger green bars suggest strong market confidence, while deeper red bars may signal severe market distress.
Recommended Usage
For optimal results, use this indicator on the daily timeframe alongside trend analysis and other market breadth indicators. The VIXRatio relationship has historically provided valuable context for market conditions, helping traders adjust positioning before major market shifts materialize in price action.
To fully understand its power, please refer to this article on Substack
