Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals.
🔵 Key Features:
Three Adaptive Bands:
The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers.
Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization.
Signal System:
Signals are generated when price interacts with the bands:
Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend.
Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation.
Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal.
The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust.
Color-Coded Bands:
Bands dynamically change color based on the trend direction:
Green bands signify an uptrend.
Brown bands signify a downtrend.
Dynamic Trend Line Changes:
Dashed lines highlight trend changes, helping traders visualize key turning points in the market.
🔵 Usage:
Use the bands to identify trend direction and strength.
Monitor the signal system to assess the level of price deviation and potential pullback strength.
Combine Signal 1, 2, and 3 to confirm trend momentum:
Signal 1 suggests a weaker pullback and continuation.
Signal 2 indicates a stronger trend confirmation.
Signal 3 highlights the strongest momentum and potential exhaustion points.
Utilize the color-coded bands for an intuitive understanding of current market conditions.
The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
指标和策略
Micha Stocks Custom WatermarkThis Pine Script v5 indicator adds a customizable watermark to TradingView charts, displaying key stock information while allowing for flexible positioning and formatting.
📌 Features & Functionality:
✅ Custom Positioning:
• Fixed to the top-left corner.
• Adjustable spacing ensures the text is properly aligned.
✅ Displayed Information (Configurable):
• Company Name & Market Cap (Optional: Shows dynamically calculated market cap)
• Stock Ticker & Timeframe
• Industry & Sector
✅ Customization Options:
• Font Size: Huge, Large, Normal, Small
• Text Color & Transparency: Adjustable
• Proper Left Alignment for a clean, structured display
• Vertical Offset Tweaks to move text down for better visibility
✅ Optimized Table Layout:
• Uses table.new() for persistent placement.
• Added an empty row to fine-tune positioning, ensuring the watermark doesn’t overlap key chart areas.
🔧 Use Case:
Designed for traders who want a clear, customizable stock watermark to enhance their charting experience without obstructing price action.
Machine Learning SupertrendThe Machine Learning Supertrend is an advanced trend-following indicator that enhances the traditional Supertrend with Gaussian Process Regression (GPR) and kernel-based learning. Unlike conventional methods that rely purely on historical ATR values, this indicator integrates machine learning techniques to dynamically estimate volatility and forecast future price movements, resulting in a more adaptive and robust trend detection system.
At the core of this indicator lies Gaussian Process Regression (GPR), which utilizes a Radial Basis Function (RBF) kernel to model price distributions and anticipate future trends. Instead of simply looking at past price action, it constructs a kernel matrix, enabling a probabilistic approach to price forecasting. This allows the indicator to not only detect current trends but also project potential trend reversals with greater accuracy.
By applying machine learning to ATR estimation, the ML Supertrend dynamically adjusts its thresholds based on predicted values rather than a fixed multiplier. This makes the trend signals more responsive to market conditions, reducing false signals and minimizing whipsaws often seen with traditional Supertrend indicators. The upper and lower bands are no longer static but evolve based on the underlying price structure, improving the reliability of trend shifts.
When the price crosses these adaptive levels, the indicator detects a trend change and plots it accordingly. Green signifies a bullish trend, while red indicates a bearish one. Alerts can also be triggered when the trend shifts, allowing traders to react quickly to potential reversals.
What makes this approach powerful is its ability to adapt to different market conditions. Traditional ATR-based methods use fixed parameters that might not always be optimal, whereas this ML-driven Supertrend continuously refines its estimations based on real-time data. The result is a more intelligent, less lagging, and highly adaptive trend-following tool.
This indicator is particularly useful for traders looking to enhance trend-following strategies with AI-driven insights. It reduces noise, improves signal reliability, and even offers a degree of trend forecasting, making it ideal for those who want a more advanced and dynamic alternative to standard Supertrend indicators.
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Trading involves risk, and users should conduct their own research and use proper risk management before making investment decisions.
Volume & Trend Confluence OscillatorVolume & Trend Confluence Oscillator (VTCO)
Overview:
The Volume & Trend Confluence Oscillator (VTCO) is a technical analysis tool designed to help traders assess market conditions by integrating volume analysis, momentum, and trend direction into a single oscillator. This indicator provides traders with additional confirmation when evaluating potential trade entries and exits.
Key Features:
Volume Analysis: Calculates a Z-score to detect unusual trading activity.
Momentum Measurement: Evaluates the rate of price change to gauge market velocity.
Trend Confirmation: Utilizes an Exponential Moving Average (EMA) to assess overall market direction.
Signal Filtering: Incorporates minimum movement thresholds and a confirmation period to reduce false signals.
Visual Enhancements: Background shading indicates trend direction, and buy/sell markers highlight key signals.
How It Works:
The VTCO applies a volume multiplier to momentum readings when volume activity significantly deviates from its historical norm. Additionally, it prioritizes momentum moves that align with the prevailing market trend. A smoothing mechanism refines the oscillator’s signal line, ensuring a more stable and actionable output. The indicator generates alerts when key conditions are met, assisting traders in identifying potential trend shifts.
Signal Generation:
Buy Signal: Triggered when the oscillator crosses above zero after an oversold condition, ideally within an uptrend.
Sell Signal: Triggered when the oscillator crosses below zero after an overbought condition, ideally within a downtrend.
Alerts: Configurable alerts notify traders when key market conditions are met.
Usage Considerations:
Works effectively across various timeframes but may provide more reliable signals on higher timeframes.
Best utilized in conjunction with additional technical indicators and risk management strategies.
No indicator guarantees future performance; proper analysis and trade management remain essential.
Disclaimer:
This indicator is provided for educational purposes only and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct independent analysis before making trading decisions.
Volumized Order Blocks | Flux ChartsOrder Blocks and Volume
Order Block Detection: The script identifies bullish and bearish order blocks based on price action and volume analysis. An Order Block typically forms when there is a strong move in price accompanied by significant volume, and it is seen as a potential level for price to return to or react at.
Swing Detection: The script looks for price swings (peaks and troughs) within a specified period (swingLength) and identifies these as potential starting points for order blocks.
Zone Types:
Bullish Order Blocks: Formed when price makes a strong upward move with accompanying high volume.
Bearish Order Blocks: Formed when price makes a strong downward move with high volume.
Order Block Validity: The order blocks can become invalid (a "breaker") if price moves past certain levels (depending on whether the obEndMethod is "Wick" or "Close").
Timeframes
The script supports multi-timeframe analysis. You can enable different timeframes for order block detection, and it will combine information from different timeframes for a more comprehensive analysis.
Visualization
Boxes: Bullish and bearish order blocks are drawn on the chart as boxes, with different colors representing the order type.
Volume Information: The script also displays volume-related information in the order block boxes, including the high and low volume levels within the block.
Combining Order Blocks
The script supports combining overlapping or touching order blocks into a single larger order block for a more refined visual representation. The combined blocks will have aggregated volume and other attributes.
Configuration Options
Show Historic Zones: Allows displaying older order blocks.
Volumetric Info: Option to display volume data within the order blocks.
Extend Zones: Configurable distance for extending the order blocks on the chart.
Text Display: Shows additional information (like the timeframe) on the order blocks.
Key Functions:
findOrderBlocks(): Main function that detects order blocks based on price action and volume.
combineOBsFunc(): Combines overlapping order blocks.
renderOrderBlock(): Renders the detected order blocks visually on the chart.
Advanced Features:
Dynamic Zone Extension: The zones can be dynamically extended based on the volatility of the market.
Volume Bars: Volume is visualized in the form of bars, either to the left or right of the order block zones.
Execution Flow:
Swing Detection: First, it detects significant price swings to identify potential order block zones.
Order Block Creation: Based on the detected swings, the script creates order blocks, calculating their volume, type (bullish or bearish), and other properties.
Order Block Rendering: The script then renders these order blocks on the chart, along with volume information and optional combined text from multiple timeframes.
Validation and Cleanup: The script regularly checks and cleans up invalidated order blocks to ensure the chart remains up-to-date with valid zones.
Conclusion
This script is primarily used for traders who want to identify potential support and resistance zones based on institutional order flow and price action. By using order blocks, traders can visualize key market areas where price might reverse or consolidate. The script's multi-timeframe capabilities allow for a more robust and thorough analysis, making it a powerful tool for technical analysis.
Let me know if you need help with any specific part of the code!
Search
Reason
ICT Order Block + Volume Filter//@version=5
indicator("ICT Order Block + Volume Filter", overlay=true)
// === تنظیمات کاربر ===
timeframe_input = input.timeframe("15", title="Order Block Timeframe")
volume_threshold = input(1.5, title="حد آستانه حجم برای ورود")
show_ob = input(true, title="نمایش Order Blocks")
show_signal = input(true, title="نمایش سیگنال ورود")
// === دریافت دادههای تایمفریم بالاتر ===
h_tf_high = request.security(syminfo.tickerid, timeframe_input, high)
h_tf_low = request.security(syminfo.tickerid, timeframe_input, low)
h_tf_close = request.security(syminfo.tickerid, timeframe_input, close)
// === محاسبه حجم نسبی ===
avg_volume = ta.sma(volume, 20)
high_volume = volume > avg_volume * volume_threshold
// === تشخیص Order Block صعودی ===
bullishOB = ta.lowest(low, 3) and close > open and close > h_tf_high
// === تشخیص Order Block نزولی ===
bearishOB = ta.highest(high, 3) and close < open and close < h_tf_low
// === رسم Order Blockها ===
var float bullishOBLevel = na
bullishOBLevel := bullishOB ? low : bullishOBLevel
if bullishOB and show_ob
line.new(x1=bar_index, y1=bullishOBLevel, x2=bar_index+10, y2=bullishOBLevel, width=2, color=color.green, extend=extend.right)
var float bearishOBLevel = na
bearishOBLevel := bearishOB ? high : bearishOBLevel
if bearishOB and show_ob
line.new(x1=bar_index, y1=bearishOBLevel, x2=bar_index+10, y2=bearishOBLevel, width=2, color=color.red, extend=extend.right)
// === سیگنال ورود و خروج بر اساس Order Block و حجم ===
buy_signal = bullishOB and high_volume
sell_signal = bearishOB and high_volume
plotshape(series=buy_signal, location=location.belowbar, color=color.green, style=shape.labelup, title="🔵 Buy Signal")
plotshape(series=sell_signal, location=location.abovebar, color=color.red, style=shape.labeldown, title="🔴 Sell Signal")
// === هشدار ارسال سیگنال به Telegram یا Webhook ===
alertcondition(buy_signal, title="💰 Buy Signal", message="سیگنال خرید: Order Block صعودی با حجم بالا شناسایی شد!")
alertcondition(sell_signal, title="🚨 Sell Signal", message="سیگنال فروش: Order Block نزولی با حجم بالا شناسایی شد!")
THE EDGE FXThis indicator is designed to enhance chart organization for traders by providing essential tools for analysis and time management. Key features include:
1. Notes and Watermarks:
- Allows traders to add customizable notes and watermarks directly on the chart for better information tracking and organization.
2. Unique Day and Week Separation:
- Dynamically separates days and weeks based on the selected UTC timezone. This feature is ideal for global traders managing different time zones and ensures accurate time segmentation on the chart.
3. Fractal Marking:
- Automatically highlights fractal points on the chart, helping traders identify potential reversal or continuation zones based on classic fractal analysis principles.
How It Works:
- The indicator overlays additional visual elements on the chart without altering the underlying data.
- Time segmentation is achieved using an algorithm that adapts to the selected UTC timezone for clear and accurate visualization.
- Fractal detection follows standard technical analysis rules to identify key price levels.
Usage Instructions:
- Add the indicator to your chart and configure the settings for your preferred timezone.
- Use the notes feature to save and display critical information directly on the chart.
- Utilize fractal markings to analyze potential turning points and market trends.
This indicator provides a streamlined way to manage your chart annotations and fractal analysis, making it an essential tool for both intraday and swing traders.
Three Bar Reversal & Patterns with TP, SL and EntryThe indicator I shared implements a strategy to detect and plot several key patterns (Three Bar Reversal, Double Bottom, Double Top, W, and M patterns) along with visual markers for buy and sell signals. It also uses line drawing to connect the patterns and alert the user when a signal is detected.
To identify the time frame suitability for each pattern and signal, let's break down how certain timeframes might affect the effectiveness and frequency of these patterns. Here are some general guidelines:
1. Three Bar Reversal
Best Timeframe: 5-minute to 1-hour.
Why: The Three Bar Reversal is a relatively short-term pattern that reacts quickly to price changes, making it more suitable for lower timeframes (5-minute, 15-minute, 30-minute, or 1-hour). On higher timeframes (like daily), these reversals might become too broad or rare, decreasing their effectiveness.
2. Double Bottom & Double Top
Best Timeframe: 1-hour to 4-hour.
Why: Double bottoms and tops tend to be more reliable on slightly longer timeframes (1-hour, 4-hour). These patterns signify stronger market reversals, so they need more time to form. On shorter timeframes, the patterns might appear too frequently or be invalidated by minor price fluctuations.
3. W Pattern
Best Timeframe: 1-hour to daily.
Why: The W pattern is a trend reversal pattern that tends to form over a longer period of time. It requires a series of price movements to complete, so it is better suited for 1-hour, 4-hour, or daily charts. On shorter timeframes, the pattern could appear too frequently, reducing its reliability.
4. M Pattern
Best Timeframe: 1-hour to daily.
Why: Like the W pattern, the M pattern is a reversal signal that requires more time to form. It’s more reliable on mid-range timeframes (1-hour to daily) where the market has time to develop these top structures. Shorter timeframes will produce more noise and less reliable M patterns.
5. Buy/Sell Signals
Best Timeframe for Buy Signals: 5-minute to 4-hour (for short-term momentum).
Best Timeframe for Sell Signals: 5-minute to 4-hour.
Why: The buy/sell signals can be applied across a range of timeframes. On shorter timeframes (5-minute, 15-minute, or 30-minute), the signals can help capture smaller, quick trends. For more significant moves, you can extend to 1-hour or 4-hour timeframes. Longer timeframes (like daily) would reduce signal frequency, but the signals would likely represent stronger price movements.
Example of Timeframe Suitability:
5-minute charts: Good for Three Bar Reversal and Buy/Sell Signals. Patterns like Double Bottom and Double Top may appear too often and be less significant.
30-minute charts: Suitable for Three Bar Reversal, Double Bottom, Double Top, and Buy/Sell Signals. More reliable than shorter timeframes.
1-hour charts: A balanced timeframe for Double Bottom, Double Top, W, M, and Buy/Sell Signals.
4-hour charts: Excellent for more substantial patterns like Double Bottom, Double Top, W, and M. Three Bar Reversal and Buy/Sell Signals will also be reliable.
Daily charts: Best for identifying more significant patterns like Double Bottom, Double Top, W, and M. Buy and sell signals will appear less frequently.
Binance Pseudo Funding FeeThe indicator calculates the Funding Fee for Binance based on the Premium Index provided by TradingView. The calculation formula can be found here: Binance Funding Rate Introduction . This is NOT the official rate visible on binance.com and used for settlements, but rather an estimated rate, which is inherently INACCURATE . The accuracy of the calculation heavily depends on the timeframe, with almost perfect results on minute-based timeframes.
For the most accurate calculations, you need to visit Binance Funding History and fill in the corresponding Interval , Interest Rate , and Funding Cap/Floor settings for the specific symbol in the indicator's settings. I understand this is not convenient, but for now, this is how it works.
The blue bars indicate the settlement time. Funding can be smoothed using moving averages. Both the funding rate and the moving averages are displayed using plot and are labeled, so you can set alerts on them.
Bottom FishingThe Bottom Fishing Indicator is a technical analysis tool that integrates RSI (Relative Strength Index), CCI (Commodity Channel Index), and MFI (Money Flow Index) to detect potential market bottoming opportunities. It calculates the oversold accumulation value of these indicators and marks buy signals when specific thresholds are met.
This indicator supports multi-timeframe (MTF) analysis, allowing users to track oversold conditions on higher timeframes such as daily or weekly charts.
Calculation Logic
(1) RSI Calculation
The Relative Strength Index (RSI) measures the strength of price movement by comparing recent gains and losses over a defined period. If the RSI value drops below 30, it indicates that the asset is oversold, meaning that selling pressure has been dominant and a potential rebound might occur. When this condition is met, the difference between 30 and the RSI value is added to the accumulation sum.
(2) CCI Calculation
The Commodity Channel Index (CCI) compares the current price level to its moving average over a specific period. If the CCI value falls below -100, it suggests that the asset is experiencing significant downward pressure. The difference between -100 and the actual CCI value is recorded and accumulated over time to gauge the intensity of the oversold condition.
(3) MFI Calculation
The Money Flow Index (MFI) evaluates price movements in relation to volume to determine buying and selling pressure. When the MFI drops below 20, it signals that the market is experiencing excessive selling pressure. The difference between 20 and the MFI value is added to the accumulation sum to track the degree of the oversold condition.
(4) Oversold Accumulation Calculation
Each time the selected indicator (RSI, CCI, or MFI) enters an oversold state, the corresponding difference is added to an ongoing sum. If the indicator exits the oversold zone, the accumulation sum resets to zero. Once the accumulation sum reaches or exceeds the defined threshold, the indicator marks a buy signal on the chart, indicating a potential bottom.
Multi-Timeframe (MTF) Calculation
Uses request.security() to fetch higher timeframe data (e.g., Daily, Weekly).
RSI, CCI, and MFI are recalculated on the selected timeframe.
The same oversold accumulation logic is applied to detect long-term buy opportunities.
The MTF accumulation line is plotted to visualize oversold conditions on higher timeframes.
Chart Display
(1) Indicator Lines
✅ Accumulation Value Line
Value Sum Line (Aqua color): Represents the oversold accumulation sum in the current timeframe.
MTF Value Sum Line (Orange color): Represents the oversold accumulation sum in the selected multi-timeframe.
✅ Divergence Signal Markers
If accumulation exceeds the threshold, a "Goal" marker is plotted above the candle, signaling a potential bottom.
Use Cases
🔹 Short-term Trading: Ideal for scalping and intraday trading, detecting potential reversals when RSI, CCI, or MFI enters the oversold zone.
🔹 Trend Reversal Trading: Works best with multi-timeframe confirmation, where a higher timeframe also signals an oversold condition.
🔹 Combining with Other Indicators: Can be used alongside moving averages, MACD, Bollinger Bands for higher accuracy.
Better Volume with Advanced SettingsThis Better Volume indicator helps you analyze trade volume combined with candlestick patterns to identify trend strength and reversal points. With various settings for sensitivity and colors, you can gain a more precise analysis of market fluctuations. This tool is useful for detecting smart money entry and major market shifts.
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise.
By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization.
Inspiration taken from Top G indicator .
What This Indicator Does
The Volatility-Driven Trend Identifier works by:
Measuring Market Extremes & Momentum:
Uses ROC normalization with standard deviation to identify impulse moves in price action.
Implements RSI filtering to determine overbought/oversold conditions that validate trend strength.
Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring.
Identifying Key Trend Events:
Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities.
Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry.
Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation.
Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation.
Providing Adaptive Filtering for Reliable Signals:
Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions.
Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts.
Uses gradient-based visualization to color-code market sentiment for quick interpretation.
What This Indicator Signals
Breakouts & Impulse Moves: 🚀🔥
The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering.
These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly.
Early Trend Formation & Reentries: ↗ ↘
The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed.
These signals help traders anticipate potential entries before the trend gains full strength.
Volatility-Adaptive Trend Filtering: 📊
Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur.
ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions.
How to Use This Indicator
1. Identifying High-Probability Entries
Bullish Entries (Long Trades)
Look for 🚀 Surge signals in an uptrend.
Confirm with RSI (should be above 50 for momentum).
Ensure volatility is increasing to validate the breakout.
Use ↗ Soft Surge signals for early entries before the trend fully confirms.
Bearish Entries (Short Trades)
Look for 🔥 Power Peak signals in a downtrend.
RSI should be below 50, indicating downward momentum.
Volatility should be rising, ensuring market momentum is strong.
Use ↘ Soft Peak signals for early entries before a full bearish confirmation.
2. Avoiding False Signals
Ignore signals when the market is ranging (low ATR).
Check RSI and ROC alignment to ensure trend confirmation.
Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy.
3. Trend Confirmation & Filtering
The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction.
Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur.
What Makes This a Machine Learning-Inspired Moving Average?
While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques:
Adaptive Trend Selection:
It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection.
ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions.
Multi-Factor Confirmation (Feature Engineering Equivalent in ML):
Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data.
Implements conditional trend recognition, ensuring that only valid signals pass through the filter.
Noise Reduction with Data Smoothing:
The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions.
Adaptive filtering ensures that low-volatility environments do not produce misleading signals.
Why Use This Indicator?
✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered.
✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets.
✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop.
✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Scalper Strategy 15M V3This script combines two popular indicators, MACD and RSI, to provide more accurate trading signals. Additionally, it displays Support & Resistance levels based on the last 50 candles, helping traders identify potential price reversal areas.
Intraday & Swing traders looking to optimize their entry & exit points
TradingView users seeking stronger confirmation in trading signals.
Traders who incorporate support & resistance into their strategies.
How to Use:
1. Adjust the MACD & RSI parameters to match your strategy.
2. Use Support & Resistance levels to spot potential price reversals.
3. Watch for Buy/Sell signals appearing on the chart.
Always use proper risk management. No strategy is perfect, so backtest before using it on a live account.
Lorentzian Volatility Filtered SignalsThis indicator uses Lorentzian classification and volume to print accurate buy and sell signals with a stop loss and take profit.
borsacıselimaldemir BSA Al-Sat Noktaları//@version=5
indicator("Al-Sat Noktaları", overlay=true)
// Zaman dilimi seçimi
timeframe = input.timeframe("D", title="Zaman Dilimi Seçimi")
// Hareketli Ortalama
length = input(14, title="Hareketli Ortalama Süresi")
ma = ta.sma(request.security(syminfo.tickerid, timeframe, close), length)
// Al-Sat Sinyalleri
longCondition = ta.crossover(request.security(syminfo.tickerid, timeframe, close), ma)
shortCondition = ta.crossunder(request.security(syminfo.tickerid, timeframe, close), ma)
// Al-Sat Noktalarını Göster
plotshape(longCondition, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, text="AL")
plotshape(shortCondition, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, text="SAT")
// Hareketli Ortalamayı Göster
plot(ma, color=color.blue, title="Hareketli Ortalama")
VWAP Bands with ML [CryptoSea]VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals.
Key Features
Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis.
Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements.
Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions.
Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones.
Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions.
Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups.
In the image below, you can see an example of the bands on higher timeframe showing good mean reversion signal opportunities, these tend to work better in ranging markets rather than strong trending ones.
How It Works
VWAP & ML Integration: The script computes VWAP and applies a machine learning-inspired adjustment using SMA smoothing and volatility-based adaptation.
Forecasting Impact: The 'Forecast' setting shifts the ML output forward in time, allowing for anticipatory trend analysis.
Volatility Scaling (Sigma): Adjusts the ML smoothing sensitivity based on market volatility, providing more responsive or stable trend lines.
Trend Confirmation via Colouring: The VWAP line dynamically switches colour depending on whether it is above or below the ML output.
Multi-Level Band Analysis: Two standard deviation-based bands provide a framework for identifying breakouts, trend reversals, or continuation patterns.
In the example below, we can see some of the most reliable signals where we have mean reversion signals from the band whilst the price is also pulling back into the VWAP, these signals have the additional confluence which can give you a higher probabilty move.
Alerts
Bullish Signal Band 1: Alerts when the price crosses above the lower ML Band 1.
Bearish Signal Band 1: Alerts when the price crosses below the upper ML Band 1.
Bullish Signal Band 2: Alerts when the price crosses above the lower ML Band 2.
Bearish Signal Band 2: Alerts when the price crosses below the upper ML Band 2.
Filtered Bullish Signal: Alerts when a bullish signal is triggered based on the selected signal detection mode.
Filtered Bearish Signal: Alerts when a bearish signal is triggered based on the selected signal detection mode.
Application
Trend & Momentum Analysis: Helps traders identify key market trends and potential momentum shifts.
Dynamic Support & Resistance: Standard deviation bands serve as adaptive price zones for potential breakouts or reversals.
Enhanced Trade Signal Confirmation: The integration of ML smoothing with VWAP provides clearer entry and exit signals.
Customizable Risk Management: Allows users to adjust parameters for fine-tuned signal detection, aligning with their trading strategy.
The VWAP Machine Learning Bands indicator offers traders an innovative tool to improve market entries, recognize potential reversals, and enhance trend analysis with intelligent data-driven signals.
Enhanced -QQEEnhanced QQE Indicator:
Overview
The Enhanced QQE Indicator improves on the traditional Quantitative Qualitative Estimation (QQE) by incorporating:
RSI-based trend detection
Smoothed ATR for dynamic thresholds
Multi-timeframe support
Trend highlighter for visual clarity
Automated buy/sell signal plotting
Webhook alerts for automated trade execution
Key Features
1. RSI & Smoothed ATR Calculation
Computes Relative Strength Index (RSI) as the base indicator.
Applies Exponential Moving Average (EMA) smoothing for reducing noise.
Implements Smoothed Average True Range (ATR) to determine signal thresholds dynamically.
2. QQE Fast & Slow Line Calculation
Fast and slow QQE bands help determine market trends.
Dynamic Support/Resistance QQE Calculation prevents false signals.
3. Multi-Timeframe Analysis
Option to fetch higher timeframe values for confirmation.
Helps align trades with larger market trends.
4. Visual Enhancements
Highlighting of trend zones based on QQE crossovers.
Overlays Buy/Sell signals on the chart for easy identification.
5. Automated Alerts & Webhook Integration
Built-in alerts for key trade signals (Crossover, Crossunder, RSI 50 levels).
Webhook integration to send trade signals for automated execution.
Alligator + RSI Divergence Indicator
This custom TradingView indicator combines the Alligator (50-100-200) and RSI Divergence to identify potential trend reversals and trading opportunities.
Features:
✅ Trend Identification:
The trend is considered bullish when the price is above all Alligator lines (50, 100, 200).
The trend is considered bearish when the price is below all Alligator lines.
✅ Divergence Detection with RSI (14):
Bullish Divergence: Price forms a lower low while RSI forms a higher low.
Bearish Divergence: Price forms a higher high while RSI forms a lower high.
✅ Trade Entry & Exit Levels:
The indicator plots entry signals when a valid divergence occurs at the Alligator levels.
It draws Stop Loss (SL) and Take Profit (TP) levels based on a 1:1 risk-reward ratio.
✅ Visual Alerts:
Green arrows appear for bullish signals (buy).
Red arrows appear for bearish signals (sell).
SL (red line) and TP (green line) are plotted on the chart.
✅ Alerts for TradingView Notifications:
Alerts are triggered when a bullish or bearish divergence is detected.
This indicator is designed to help traders identify high-probability reversal points by combining price action with momentum divergence. 🚀
Crypto Dynamic RSI-MACD Pro# Crypto Dynamic RSI-MACD Pro
## 📊 指标概述
专为加密货币市场设计的复合震荡指标，整合动态RSI阈值与MACD量价背离检测，通过三重验证机制提升交易信号可靠性。本指标经2021-2023年极端行情压力测试，在BTC/USD 4H周期实现62.3%历史胜率（盈亏比2.1:1）。
## 🎯 核心功能
- **智能阈值系统**
```pine
dynamicOversold = 30 + (ATR波动率>2% ? 5 : 0)
dynamicOverbought = 70 - (ATR波动率>2% ? 5 : 0)
第三代背离检测
采用价格-MACD双拐点验证算法，过滤90%以上假背离
复合信号机制
需同时满足：
1.RSI突破动态阈值
2.MACD柱状线方向确认
3.量价背离形态
⚙️ 参数配置指南
参数名称 推荐值 适用场景
RSI周期 9-14 小周期用9，日线用14
MACD快线周期 8-12 牛市用8，熊市用12
背离检测周期 20-50 短线20，波段50
📈 使用建议
最佳实践组合
// 比特币日内交易（15分钟图）
rsiLength=9, macdFast=8, divergenceLookback=20
// 以太坊波段交易（4小时图）
rsiLength=12, macdSlow=30, divergenceLookback=40
信号确认规则
✅ 有效买入信号
*绿色▲出现在K线实体上方
*背景变为淡绿色
*MACD柱状线连续2根转绿
❌ 信号失效条件
*价格在信号后1小时内未突破前高
*BTC主导波动率突然放大3%+
*交易所资金费率>0.1%
⚠️ 风险控制协议
1.强制止损规则
止损位 = 入场价 ± (当前ATR × 1.5)
2.时段过滤
规避每周五20:00-22:00（UTC+8）期货交割时段
3.熔断机制
if 连续亏损3次:
停止交易24小时
elif 单日亏损>5%:
强制平仓并分析市场状态
📌 发布说明
数据源要求
需使用交易所原生K线数据（避免合成K线）
兼容性
最佳运行周期：15分钟 - 日线
推荐交易对：BTC/USD, ETH/USD, BNB/USDT
版本更新
2023.12.01 - 增加流动性检测过滤
2024.02.15 - 优化背离算法
📜 免责声明
❗ 重要风险提示
本指标不适用于以下场景：
*市值排名50以外的小币种
*交易所维护期间
*重大监管政策发布后24小时内
*稳定币脱锚事件期间
开发者不承担任何因使用本指标导致的资金损失责任，加密货币交易存在极高风险，请谨慎决策。
Kalman Filter Trend BreakersKalman filter is a recursive algorithm that has been invented in the 1960s to track a moving target, remove any noisy measurements of its position and predict its future position.
In trading, KF might be a good replacement for a moving average, as it reacts to price changes in a different way. Not only it follows price direction, but can also track the velocity of price changes. This specific behaviour of KF is used in this indicator to track changes in trends.
Trend is characterized by price moving directionally, however, any trend comes to pause or complete stop and reversal, as the price changes more slowly (a trend fades into a sideways movement for a while) or the price movement changes direction, thus making a reversal.
This indicator detects the points where such changes occur (trend breaker points), and produces signals, which serve as points of current trend pausing or reversing. By applying different settings for KF calculation, you can produce less or more signals that indicate change in trend character, and either detect only significant trends changes, or less and shorter trends changes as well.
The signals do not differentiate the exact type of a trend change (it can be a brief trend pause followed by a continuation, as well as a complete reversal). However, once you are in a trend, the significant velocity change indicates a change in trend structure. In this sense, trend breaker signals should not be followed blindly, and can be used only as trend (and position) exit confirmations, but not the entry contrarian confirmations.
For better visual representation, you can use chart signals attached to bars, and additionally a vertical gradient which shows significant trend velocity change.
