Adaptive Trend FinderAdaptive Trend Finder - The Ultimate Trend Detection Tool
Introducing Adaptive Trend Finder, the next evolution of trend analysis on TradingView. This powerful indicator is an enhanced and refined version of Adaptive Trend Finder (Log), designed to offer even greater flexibility, accuracy, and ease of use.
Whatโs New?
Unlike the previous version, Adaptive Trend Finder allows users to fully configure and adjust settings directly within the indicator menu, eliminating the need to modify chart settings manually. A major improvement is that users no longer need to adjust the chart's logarithmic scale manually in the chart settings; this can now be done directly within the indicator options, ensuring a smoother and more efficient experience. This makes it easier to switch between linear and logarithmic scaling without disrupting the analysis. This provides a seamless user experience where traders can instantly adapt the indicator to their needs without extra steps.
One of the most significant improvements is the complete code overhaul, which now enables simultaneous visualization of both long-term and short-term trend channels without needing to add the indicator twice. This not only improves workflow efficiency but also enhances chart readability by allowing traders to monitor multiple trend perspectives at once.
The interface has been entirely redesigned for a more intuitive user experience. Menus are now clearer, better structured, and offer more customization options, making it easier than ever to fine-tune the indicator to fit any trading strategy.
Key Features & Benefits
Automatic Trend Period Selection: The indicator dynamically identifies and applies the strongest trend period, ensuring optimal trend detection with no manual adjustments required. By analyzing historical price correlations, it selects the most statistically relevant trend duration automatically.
Dual Channel Display: Traders can view both long-term and short-term trend channels simultaneously, offering a broader perspective of market movements. This feature eliminates the need to apply the indicator twice, reducing screen clutter and improving efficiency.
Fully Adjustable Settings: Users can customize trend detection parameters directly within the indicator settings. No more switching chart settings โ everything is accessible in one place.
Trend Strength & Confidence Metrics: The indicator calculates and displays a confidence score for each detected trend using Pearson correlation values. This helps traders gauge the reliability of a given trend before making decisions.
Midline & Channel Transparency Options: Users can fine-tune the visibility of trend channels, adjusting transparency levels to fit their personal charting style without overwhelming the price chart.
Annualized Return Calculation: For daily and weekly timeframes, the indicator provides an estimate of the trendโs performance over a year, helping traders evaluate potential long-term profitability.
Logarithmic Adjustment Support: Adaptive Trend Finder is compatible with both logarithmic and linear charts. Traders who analyze assets like cryptocurrencies, where log scaling is common, can enable this feature to refine trend calculations.
Intuitive & User-Friendly Interface: The updated menu structure is designed for ease of use, allowing quick and efficient modifications to settings, reducing the learning curve for new users.
Why is this the Best Trend Indicator?
Adaptive Trend Finder stands out as one of the most advanced trend analysis tools available on TradingView. Unlike conventional trend indicators, which rely on fixed parameters or lagging signals, Adaptive Trend Finder dynamically adjusts its settings based on real-time market conditions. By combining automatic trend detection, dual-channel visualization, real-time performance metrics, and an intuitive user interface, this indicator offers an unparalleled edge in trend identification and trading decision-making.
Traders no longer have to rely on guesswork or manually tweak settings to identify trends. Adaptive Trend Finder does the heavy lifting, ensuring that users are always working with the strongest and most reliable trends. The ability to simultaneously display both short-term and long-term trends allows for a more comprehensive market overview, making it ideal for scalpers, swing traders, and long-term investors alike.
With its state-of-the-art algorithms, fully customizable interface, and professional-grade accuracy, Adaptive Trend Finder is undoubtedly one of the most powerful trend indicators available.
Try it today and experience the future of trend analysis.
This indicator is a technical analysis tool designed to assist traders in identifying trends. It does not guarantee future performance or profitability. Users should conduct their own research and apply proper risk management before making trading decisions.
// Created by Julien Eche - @Julien_Eche
Cari dalam skrip untuk "accuracy"
Supply & Demand Zones (by Wali Afridi)Description:
๐ This indicator accurately detects Supply & Demand Zones by identifying swing highs and lows. It plots a single clean line for each zone and labels them as "SZ" (Supply Zone) and "DZ" (Demand Zone), ensuring a clear and minimalistic chart.
๐น Features:
โ
Auto-detects recent Supply & Demand Zones
โ
Plots clean horizontal lines for the latest zones
โ
Displays "SZ" above the supply line & "DZ" below the demand line
โ
No duplicate labelsโonly one label per zone
โ
Minimal & clutter-free visualization
How to Use:
1๏ธโฃ Add the indicator to your chart
2๏ธโฃ Watch for Supply Zones (SZ) appearing above red lines โ These indicate potential resistance areas where price may reverse or consolidate.
3๏ธโฃ Watch for Demand Zones (DZ) appearing below green lines โ These indicate strong support areas where price may bounce.
4๏ธโฃ Use with other confirmations (Price Action, SMC, Volume) for better accuracy.
โ ๏ธ Disclaimer:
This script is for educational purposes only and should not be considered financial advice. Always backtest and use risk management before applying it to live trading.
TradZoo - EMA Crossover IndicatorDescription:
This EMA Crossover Trading Strategy is designed to provide precise Buy and Sell signals with confirmation, defined targets, and stop-loss levels, ensuring strong risk management. Additionally, a 30-candle gap rule is implemented to avoid frequent signals and enhance trade accuracy.
๐ Strategy Logic
โ
Exponential Moving Averages (EMAs):
Uses EMA 50 & EMA 200 for trend direction.
Buy signals occur when price action confirms EMA crossovers.
โ
Entry Confirmation:
Buy Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes above the previous candleโs close.
Sell Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes below the previous candleโs close.
โ
30-Candle Gap Rule:
Prevents frequent entries by ensuring at least 30 candles pass before the next trade.
Improves signal quality and prevents excessive trading.
๐ฏ Target & Stop-Loss Calculation
โ
Buy Position:
Target: 2X the difference between the last candleโs close and the lowest low of the last 2 candles.
Stop Loss: The lowest low of the last 2 candles.
โ
Sell Position:
Target: 2X the difference between the last candleโs close and the highest high of the last 2 candles.
Stop Loss: The highest high of the last 2 candles.
๐ Visual Features
โ
Buy & Sell Signals:
Green Upward Arrow โ Buy Signal
Red Downward Arrow โ Sell Signal
โ
Target Levels:
Green Dotted Line: Buy Target
Red Dotted Line: Sell Target
โ
Stop Loss Levels:
Dark Red Solid Line: Stop Loss for Buy/Sell
๐ก How to Use
๐น Ideal for trend-following traders using EMAs.
๐น Works best in volatile & trending markets (avoid sideways ranges).
๐น Can be combined with RSI, MACD, or price action levels for added confluence.
๐น Recommended timeframes: 1M, 5M, 15m, 1H, 4H, Daily (for best results).
๐ Try this strategy and enhance your trading decisions with structured risk management!
XGBoost Approximation Indicator with HTF Filter Ver. 3.2XGBoost Approx Indicator with Higher Timeframe Filter Ver. 3.2
What It Is
The XGBoost Approx Indicator is a technical analysis tool designed to generate trading signals based on a composite of multiple indicators. It combines Simple Moving Average (SMA), Relative Strength Index (RSI), MACD, Rate of Change (ROC), and Volume to create a composite indicator score. Additionally, it incorporates a higher timeframe filter (HTF) to enhance trend confirmation and reduce false signals.
This indicator helps traders identify long (buy) and short (sell) opportunities based on a weighted combination of trend-following and momentum indicators.
How to Use It Properly
Setup and Configuration:
Add the indicator to your TradingView chart.
Customize input settings based on your trading strategy. Key configurable inputs include:
HTF filter (default: 1-hour)
SMA, RSI, MACD, and ROC lengths
Custom weightings for each component
Thresholds for buy and sell signals
Understanding the Signals:
Green "Long" Label: Appears when the composite indicator crosses above the buy threshold, signaling a potential buy opportunity.
Red "Short" Label: Appears when the composite indicator crosses below the sell threshold, signaling a potential sell opportunity.
These signals are filtered by a higher timeframe SMA trend to improve accuracy.
Alerts:
The indicator provides alert conditions for long and short entries.
Traders can enable alerts in TradingView to receive real-time notifications when a new signal is triggered.
Safety and Best Practices
Use in Conjunction with Other Analysis: Do not rely solely on this indicator. Combine it with price action, support/resistance levels, and fundamental analysis for better decision-making.
Adjust Settings for Your Strategy: The default settings may not suit all markets or timeframes. Test different configurations before trading live.
Backtest Before Using in Live Trading: Evaluate the indicatorโs past performance on historical data to assess its effectiveness in different market conditions.
Avoid Overtrading: False signals can occur, especially in low volatility or choppy markets. Use additional confirmation (e.g., trendlines or moving averages).
Risk Management: Always set stop-loss levels and position sizes to limit potential losses.
Fortuna Trend Predictor**Fortuna Trend Predictor**
### Overview
**Fortuna Trend Predictor** is a powerful trend analysis tool that combines multiple technical indicators to estimate trend strength, volatility, and probability of price movement direction. This indicator is designed to help traders identify potential trend shifts and confirm trade setups with improved accuracy.
### Key Features
- **Trend Strength Analysis**: Uses the difference between short-term and long-term Exponential Moving Averages (EMA) normalized by the Average True Range (ATR) to determine trend strength.
- **Directional Strength via ADX**: Calculates the Average Directional Index (ADX) manually to measure the strength of the trend, regardless of its direction.
- **Probability Estimation**: Provides a probabilistic assessment of price movement direction based on trend strength.
- **Volume Confirmation**: Incorporates a volume filter that validates signals when the trading volume is above its moving average.
- **Volatility Filter**: Uses ATR to identify high-volatility conditions, helping traders avoid false signals during low-volatility periods.
- **Overbought & Oversold Levels**: Includes RSI-based horizontal reference lines to highlight potential reversal zones.
### Indicator Components
1. **ATR (Average True Range)**: Measures market volatility and serves as a denominator to normalize EMA differences.
2. **EMA (Exponential Moving Averages)**:
- **Short EMA (20-period)** - Captures short-term price movements.
- **Long EMA (50-period)** - Identifies the overall trend.
3. **Trend Strength Calculation**:
- Formula: `(Short EMA - Long EMA) / ATR`
- The higher the value, the stronger the trend.
4. **ADX Calculation**:
- Computes +DI and -DI manually to generate ADX values.
- Higher ADX indicates a stronger trend.
5. **Volume Filter**:
- Compares current volume to a 20-period moving average.
- Signals are more reliable when volume exceeds its average.
6. **Volatility Filter**:
- Detects whether ATR is above its own moving average, multiplied by a user-defined threshold.
7. **Probability Plot**:
- Formula: `50 + 50 * (Trend Strength / (1 + abs(Trend Strength)))`
- Values range from 0 to 100, indicating potential movement direction.
### How to Use
- When **Probability Line is above 70**, the trend is strong and likely to continue.
- When **Probability Line is below 30**, the trend is weak or possibly reversing.
- A rising **ADX** confirms strong trends, while a falling ADX suggests consolidation.
- Combine with price action and other confirmation tools for best results.
### Notes
- This indicator does not generate buy/sell signals but serves as a decision-support tool.
- Works best on higher timeframes (H1 and above) to filter out noise.
---
### Example Chart
*The chart below demonstrates how Fortuna Trend Predictor can help identify strong trends and avoid false breakouts by confirming signals with volume and volatility filters.*
Trend Zone Moving Averages๐ Trend Zone Moving Averages
The Trend Zone Moving Averages indicator helps traders quickly identify market trends using the 50SMA, 100SMA, and 200SMA. With dynamic background colors, customizable settings, and real-time alerts, this tool provides a clear view of bullish, bearish, and extreme trend conditions.
๐น Features:
Trend Zones with Dynamic Background Colors
Green โ Bullish Trend (50SMA > 100SMA > 200SMA, price above 50SMA)
Red โ Bearish Trend (50SMA < 100SMA < 200SMA, price below 50SMA)
Yellow โ Neutral Trend (Mixed signals)
Dark Green โ Extreme Bullish (Price above all three SMAs)
Dark Red โ Extreme Bearish (Price below all three SMAs)
Customizable Moving Averages
Toggle 50SMA, 100SMA, and 200SMA on/off from the settings.
Perfect for traders who prefer a cleaner chart.
Real-Time Trend Alerts
Get instant notifications when the trend changes:
๐ข Bullish Zone Alert โ When price enters a bullish trend.
๐ด Bearish Zone Alert โ When price enters a bearish trend.
๐ก Neutral Zone Alert โ When trend shifts to neutral.
๐ Extreme Bullish Alert โ When price moves above all SMAs.
โ ๏ธ Extreme Bearish Alert โ When price drops below all SMAs.
โ
Perfect for Any Market
Works on stocks, forex, crypto, and commodities.
Adaptable for day traders, swing traders, and investors.
โ๏ธ How to Use: Trend Zone Moving Averages Strategy
This strategy helps traders identify and trade with the trend using the Trend Zone Moving Averages indicator. It works across stocks, forex, crypto, and commodities.
๐ข Bullish Trend Strategy (Green Background)
Objective: Look for buying opportunities when the market is in an uptrend.
Entry Conditions:
โ
Background is Green (Bullish Zone).
โ
Price is above the 50SMA (confirming strength).
โ
Price pulls back to the 50SMA and bounces OR breaks above a key resistance level.
Stop Loss:
๐น Place below the most recent swing low or just under the 50SMA.
Take Profit:
๐น First target at the next resistance level or recent swing high.
๐น Second target if price continues higherโtrail stops to lock in profits.
๐ด Bearish Trend Strategy (Red Background)
Objective: Look for shorting opportunities when the market is in a downtrend.
Entry Conditions:
โ
Background is Red (Bearish Zone).
โ
Price is below the 50SMA (confirming weakness).
โ
Price pulls back to the 50SMA and rejects OR breaks below a key support level.
Stop Loss:
๐น Place above the most recent swing high or just above the 50SMA.
Take Profit:
๐น First target at the next support level or recent swing low.
๐น Second target if price keeps fallingโtrail stops to secure profits.
๐ Extreme Trend Strategy (Dark Green / Dark Red Background)
Objective: Trade with momentum when the market is in a strong trend.
Entry Conditions:
โ
Dark Green Background โ Extreme Bullish: Price is above all three SMAs (strong uptrend).
โ
Dark Red Background โ Extreme Bearish: Price is below all three SMAs (strong downtrend).
Trade Execution:
๐น For longs (Dark Green): Look for breakout entries above resistance or pullbacks to the 50SMA.
๐น For shorts (Dark Red): Look for breakdown entries below support or rejections at the 50SMA.
Risk Management:
๐น Use tighter stop losses and trail profits aggressively to maximize gains.
๐ก Neutral Trend Strategy (Yellow Background)
Objective: Avoid trading or wait for a breakout.
What to Do:
๐น Avoid trading in this zoneโprice is indecisive.
๐น Wait for confirmation (background turns green/red) before taking a trade.
๐น Use alerts to notify you when the trend resumes.
๐ Final Tips
Use this strategy with price action for extra confirmation.
Combine with support/resistance levels to improve accuracy.
Set alerts for trend changes so you never miss an opportunity.
Enjoy!
Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes.
This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution.
Key Features & Functionalities
1. Multiple AVWAP Configurations
Users can configure up to four distinct AVWAP calculations to track different market conditions.
Supports various anchoring methods:
Fixed: A traditional AVWAP that starts from a defined historical point.
Perpetual: A rolling VWAP that continuously adjusts over time.
Extension: An extension-based AVWAP that projects from past calculations.
High Volume: Anchors AVWAP to the highest volume bar within a specified period.
None: Option to disable AVWAP calculation if not required.
2. Advanced Deviation Bands
Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP.
Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing.
Deviation bands are customizable in terms of visibility, color, and transparency.
3. Multi-Timeframe Support
Users can assign different timeframes to each AVWAP calculation for macro and micro analysis.
Helps in identifying long-term institutional trading levels alongside short-term intraday trends.
4. Z-Score Normalization Mode
Option to standardize oscillator values based on AVWAP deviations.
Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range.
Helps in detecting extreme price dislocations and mean-reversion opportunities.
5. Customizable Visual & Aesthetic Settings
Fully customizable line colors, transparency, and thickness to enhance clarity.
Users can modify AVWAP and deviation band colors to distinguish between different levels.
Configurable display options to match personal trading preferences.
6. Oscillator Mode for Trend & Momentum Analysis
The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically.
This provides traders with a momentum-based perspective on volume-weighted price movements.
User Guide & Implementation
1. Configuring AVWAPs for Optimal Use
Choose the mode for each AVWAP instance:
Fixed (set historical point)
Perpetual (rolling, continuously updated AVWAP)
Extension (projection from past AVWAP levels)
High Volume (anchored to highest volume bar)
None (disables the AVWAP line)
Adjust the length settings to fine-tune calculation sensitivity.
2. Utilizing Deviation Bands for Market Context
Activate deviation bands to see statistical boundaries of price action.
Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements.
Consider price action outside of deviation bands as potential mean-reversion signals.
3. Multi-Timeframe Analysis for Institutional-Level Insights
Assign different timeframes to each AVWAP to compare:
Daily VWAP (institutional trading levels)
Weekly VWAP (swing trading trends)
Intraday VWAPs (short-term momentum shifts)
Helps identify where institutional liquidity is positioned relative to price.
4. Activating the Oscillator for Momentum & Bias Confirmation
The oscillator converts AVWAP deviations into a normalized value.
Use overbought/oversold levels to determine strength and potential reversals.
Combine with other indicators (RSI, MACD) for confluence-based trading decisions.
Trading Applications & Strategies
5. Trend Confirmation & Institutional VWAP Tracking
If price consistently holds above the primary AVWAP, it signals a bullish trend.
If price remains below AVWAP, it indicates selling pressure and a bearish trend.
Monitor retests of AVWAP levels for potential trend continuation or reversal.
6. Dynamic Support & Resistance Levels
AVWAP lines act as dynamic floating support and resistance zones.
Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum.
Look for confluence with high-volume zones for stronger trade signals.
7. Mean Reversion & Statistical Edge Trading
Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP.
Mean reversion traders can fade extended moves and target AVWAP re-tests.
Helps in identifying exhaustion points in trending markets.
8. Institutional Liquidity & Volume Footprints
Institutions often execute large trades near VWAP zones, causing price reactions.
Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas.
Use higher timeframe AVWAPs as macro support/resistance for swing trading setups.
9. Enhancing Momentum Trading with AVWAP Oscillator
The oscillator provides a momentum-based measure of AVWAP deviations.
Helps in confirming entry and exit timing for trend-following trades.
Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions.
Best Practices & Trading Tips
Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy.
Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking.
Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance.
Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active.
Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements.
Final Thoughts & Disclaimer
The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place.
This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades.
OmegaTools - Enhancing Market Clarity with Precision Indicators
Custom TABI Model with LayersCustom Top and Bottom Indicator (TABI) (Is a Trend Adaptive Blow-Off Indicator) -
User Guide & Description
Introduction
The TABI (Trend Adaptive Blow-Off Indicator) is a refined, multi-layered RSI tool designed to enhance trend analysis, detect momentum shifts, and highlight overbought/oversold conditions with a more nuanced, color-coded approach. This indicator is useful for traders seeking to identify key reversal points, confirm trend strength, and filter trade setups more effectively than traditional RSI.
By incorporating volume-based confirmation and divergence detection, TABI aims to reduce false signals and improve trade timing.
How It Works
TABI builds on the Relative Strength Index (RSI) by introducing:
A smoothed RSI calculation for better trend readability.
11 color-coded RSI levels, allowing traders to visually distinguish weak, neutral, and extreme conditions.
Volume-based confirmation to detect high-conviction moves.
Bearish & Bullish Divergence Detection, inspired by Market Cipher methods, to spot potential reversals early.
Overbought & Oversold alerts, with optional candlestick color changes to highlight trade signals.
Key Features
โ
Color-Coded RSI for Better Readability
The RSI is divided into multi-layered color zones:
๐ต Light Blue: Extremely oversold
๐ข Lime Green: Mild oversold, potential trend reversal
๐ก Yellow & Orange: Neutral, momentum consolidation
๐ Dark Orange: Caution, overbought conditions developing
๐ด Red: Extreme overbought, possible exhaustion
โ
Divergence Detection
Bearish Divergence: Price makes higher highs, RSI makes lower highs โ Potential top signal
Bullish Divergence: Price makes lower lows, RSI makes higher lows โ Potential bottom signal
โ
Volume Confirmation Filter
Requires a 50% above-average volume spike for strong buy/sell signals, reducing false breakouts.
โ
Dynamic Labels & Alerts
๐จ Blow-Off Top Warning: If RSI is overbought + volume spikes + divergence detected
๐ข Oversold Bottom Alert: If RSI is oversold + bullish divergence
Candlestick color changes when extreme conditions are met.
How to Use
๐ Entry & Exit Signals
Buy Consideration:
RSI enters Green Zone (oversold)
Bullish divergence detected
Volume confirms the move
Sell Consideration:
RSI enters Red Zone (overbought)
Bearish divergence detected
Volume confirms exhaustion
๐ Trend Confirmation
Use the yellow/orange levels to confirm strong trends before entering counter-trend trades.
๐ Filtering Trade Noise
The RSI smoothing helps reduce false whipsaws, making it easier to read true momentum shifts.
Customization Options
๐ง User-Defined RSI Thresholds
Adjust the overbought/oversold levels to match your trading style.
๐ง Divergence Sensitivity
Modify the lookback period to fine-tune divergence detection accuracy.
๐ง Volume Thresholds
Set custom volume multipliers to control confirmation requirements.
Why This is Unique
๐น Unlike traditional RSI, TABI visually maps RSI zones into layered gradients, making it easy to spot momentum shifts.
๐น The multi-layered color scheme adds an intuitive, heatmap-like effect to RSI, helping traders quickly gauge conditions.
๐น Incorporates CCF-inspired divergence detection and volume filtering, making signals more robust.
๐น Dynamic labeling system ensures clarity without cluttering the chart.
Alerts & Notifications
๐ TradingView Alerts Included
๐จ Blow-Off Top Detected โ RSI overbought + volume spike + bearish divergence.
๐ข Oversold Bottom Detected โ RSI oversold + bullish divergence.
Set alerts to receive notifications without watching the charts 24/7.
Final Thoughts
TABI is designed to simplify RSI analysis, provide better trade signals, and improve decision-making. Whether you're day trading, swing trading, or long-term investing, this tool helps you navigate market conditions with confidence.
๐ฅ Use it to detect high-probability reversals, confirm trends, and improve trade entries/exits! ๐
Volatility-Enhanced Williams %R [AIBitcoinTrend]๐ฝ Volatility-Enhanced Williams %R (AIBitcoinTrend)
The Volatility-Enhanced Williams %R takes the classic Williams %R oscillator to the next level by incorporating volatility-adaptive smoothing, making it significantly more responsive to market dynamics. Unlike the traditional version, which uses a fixed calculation method, this indicator dynamically adjusts its smoothing factor based on market volatility, helping traders capture trends more effectively while filtering out noise.
Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, providing traders with enhanced risk management tools and early reversal signals.
๐ฝ What Makes the Volatility-Enhanced Williams %R Unique?
Unlike the standard Williams %R, which applies a simple lookback-based formula, this version integrates adaptive smoothing and volatility-based filtering to refine its signals and reduce false breakouts.
โ
Volatility-Adaptive Smoothing โ Adjusts dynamically based on standard deviation, enhancing signal accuracy.
โ
Real-Time Divergence Detection โ Identifies bullish and bearish divergences for early trend reversal signals.
โ
Crossovers & Trailing Stops โ Implements Williams %R crossovers with ATR-based trailing stops for intelligent trade management.
๐ฝ The Math Behind the Indicator
๐พ Volatility-Adaptive Smoothing
The indicator smooths the Williams %R calculation by applying an adaptive filtering mechanism, which adjusts its responsiveness based on market conditions. This helps to eliminate whipsaws and makes trend-following strategies more reliable.
The smoothing function is defined as:
clamp(x, lo, hi) => math.min(math.max(x, lo), hi)
adaptive(src, prev, len, divisor, minAlpha, maxAlpha) =>
vol = ta.stdev(src, len)
alpha = clamp(vol / divisor, minAlpha, maxAlpha)
prev + alpha * (src - prev)
Where:
Volatility Factor (vol) measures price dispersion using standard deviation.
Adaptive Alpha (alpha) dynamically adjusts smoothing strength.
Clamped Output ensures that the smoothing factor remains within a stable range.
๐ฝ How Traders Can Use This Indicator
๐พ Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while Williams %R forms a higher low.
Buy signal is confirmed when Williams %R reverses upward.
Bearish Divergence Setup:
Price makes a higher high, while Williams %R forms a lower high.
Sell signal is confirmed when Williams %R reverses downward.
๐พ Trailing Stop & Signal-Based Trading
Bullish Setup:
โ
Williams %R crosses above trigger level โ Buy signal.
โ
A bullish trailing stop is placed at Low - (ATR ร Multiplier).
โ
Exit if price crosses below the stop.
Bearish Setup:
โ
Williams %R crosses below trigger level โ Sell signal.
โ
A bearish trailing stop is placed at High + (ATR ร Multiplier).
โ
Exit if price crosses above the stop.
๐ฝ Why Itโs Useful for Traders
Adaptive Filtering Mechanism โ Avoids excessive noise while maintaining responsiveness.
Real-Time Divergence Alerts โ Helps traders anticipate market reversals before they occur.
ATR-Based Risk Management โ Stops dynamically adjust based on market volatility.
Multi-Market Compatibility โ Works effectively across stocks, forex, crypto, and futures.
๐ฝ Indicator Settings
Smoothing Factor โ Controls how aggressively the indicator adapts to volatility.
Enable Divergence Analysis โ Activates real-time divergence detection.
Lookback Period โ Defines the number of bars for detecting pivot points.
Enable Crosses Signals โ Turns on Williams %R crossover-based trade signals.
ATR Multiplier โ Adjusts trailing stop sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Supertrend TP SL (PRO)2. Main Components:
Supertrend Indicator:
Theoretical basis: The Supertrend indicator is based on two main concepts: Average True Range (ATR) and Factor. ATR measures the extent of price fluctuations in a given period of time, while Factor determines the sensitivity of the indicator to price changes.
Mechanism of operation: The indicator calculates two possible lines: one line representing the potential support level and another line representing the potential resistance level. The selection of the appropriate line depends on the current price direction. When the price is above the line, the indicator is considered to be in an uptrend, and vice versa.
Customizable inputs:
atrPeriod: Allows the trader to specify the time period for calculating the ATR. Shorter periods make the indicator more sensitive to price changes, while longer periods reduce its sensitivity.
factor: Allows the adjustment of the factor. Higher values โโmake the indicator less likely to give false signals, but they may also delay entry signals.
Risk Management:
Take Profit and Stop Loss Orders:
TPPoints: Specifies the distance between the entry price and the take profit level. This distance is expressed in points, and is converted to an actual price value using syminfo.mintick (the smallest possible price movement of the traded asset).
SLPoints: Specifies the distance between the entry price and the stop loss level.
Importance: These orders allow the trader to specify the maximum loss he is willing to take and the profit target he is aiming to achieve, which helps in effective risk management.
Activate/Disable Trades:
isLongEnabled: Allows buy trades to be enabled or disabled, which allows the trader to trade in one direction only (for example, only trade in the uptrend during a bull market).
isShortEnabled: Allows sell trades to be enabled or disabled.
isTakeProfitEnabled: Allows take profit orders to be enabled or disabled. The trader may wish to disable them if he prefers to manage his trades manually.
isStopLossEnabled: Allows you to enable or disable stop loss orders. Although disabling them may seem tempting in some cases, it is a very risky move.
Visual Customization:
Line Style and Width:
lineStyle: Allows the trader to choose the style of lines used to draw TP and SL levels (Solid, Dashed, Dotted).
lineWidth: Sets the thickness of the lines.
Label Size:
labelSize: Allows you to set the size of the labels that display TP and SL levels (Small, Normal, Large).
Colors:
bullColor, bearColor, tpColor, slColor: Allows the trader to customize the colors of the different elements on the chart, making visual analysis easier.
3. Strategy Logic:
Determining Entry Signals: The strategy relies on the Supertrend indicator to determine entry signals. When the Supertrend trend changes from bearish to bullish, a buy trade is triggered (if isLongEnabled is enabled). When the trend changes from bullish to bearish, a sell trade is triggered (if isShortEnabled is enabled).
Order Execution: Once the entry signal is triggered, the strategy automatically places buy or sell orders.
Trade Management: After opening a trade, the strategy monitors the price and automatically triggers Take Profit and Stop Loss orders if the price reaches the specified levels.
Visualization: The strategy displays useful information on the chart, such as TP and SL lines, entry and exit signals, which helps the trader understand the strategyโs behavior and evaluate its performance.
4. Advanced Tips:
Optimizing Settings: The strategyโs performance can be improved by adjusting different input values. For example, the trader can experiment with different values โโfor atrPeriod and factor to improve the accuracy of Supertrend signals.
Combining Indicators: This strategy can be combined with other indicators to improve the accuracy of entry signals. For example, the Relative Strength Index (RSI) can be used to confirm Supertrend signals.
Time Analysis: The strategyโs performance can be analyzed over different time periods to evaluate its effectiveness in various market conditions.
Strategy Testing: Before using the strategy in real trading, it should be tested on historical data (Backtesting) to evaluate its performance and determine the optimal settings.
5. Associated Risks:
False Signals: The Supertrend indicator may sometimes give false signals, especially in volatile markets.
Losses: Even with the use of stop loss orders, the trader may be exposed to significant losses.
Over-optimization: Over-optimization of settings on historical data may lead to misleading results. The trader should be careful about generalizing the results to future data.
Over-reliance on automation: The automated strategy should not be relied upon completely. The trader should monitor the trades and make appropriate decisions when necessary.
6. Disclaimer:
I am not a licensed financial advisor. This strategy is provided for educational and illustrative purposes only and should not be considered as investment advice. Trading in financial markets involves significant risks and you may lose your invested capital. Before making any investment decisions, consult a qualified financial advisor and conduct your own research. You alone are responsible for your trading decisions and their results. By using this strategy, you acknowledge and agree that I am not responsible for any losses or damages you may incur.
2. ุงูู
ูููุงุช ุงูุฑุฆูุณูุฉ:
ู
ุคุดุฑ Supertrend:
ุงูุฃุณุงุณ ุงููุธุฑู: ูุนุชู
ุฏ ู
ุคุดุฑ Supertrend ุนูู ู
ูููู
ูู ุฑุฆูุณููู ูู
ุง: ู
ุชูุณุท ุงูู
ุฏู ุงูุญูููู (Average True Range - ATR) ูู
ุนุงู
ู ุงูุถุฑุจ (Factor). ATR ูููุณ ู
ุฏู ุชููุจุงุช ุงูุฃุณุนุงุฑ ูู ูุชุฑุฉ ุฒู
ููุฉ ู
ุญุฏุฏุฉุ ุจููู
ุง Factor ูุญุฏุฏ ู
ุฏู ุญุณุงุณูุฉ ุงูู
ุคุดุฑ ูุชุบูุฑุงุช ุงูุฃุณุนุงุฑ.
ุขููุฉ ุงูุนู
ู: ูููู
ุงูู
ุคุดุฑ ุจุญุณุงุจ ุฎุทูู ู
ุญุชู
ููู: ุฎุท ูู
ุซู ู
ุณุชูู ุงูุฏุนู
ุงูู
ุญุชู
ู ูุฎุท ุขุฎุฑ ูู
ุซู ู
ุณุชูู ุงูู
ูุงูู
ุฉ ุงูู
ุญุชู
ู. ูุนุชู
ุฏ ุงุฎุชูุงุฑ ุงูุฎุท ุงูู
ูุงุณุจ ุนูู ุงุชุฌุงู ุงูุณุนุฑ ุงูุญุงูู. ุนูุฏู
ุง ูููู ุงูุณุนุฑ ุฃุนูู ู
ู ุงูุฎุทุ ูุนุชุจุฑ ุงูู
ุคุดุฑ ูู ุงุชุฌุงู ุตุงุนุฏุ ูุงูุนูุณ ุตุญูุญ.
ุงูู
ุฏุฎูุงุช ุงููุงุจูุฉ ููุชุฎุตูุต:
atrPeriod: ูุชูุญ ููู
ุชุฏุงูู ุชุญุฏูุฏ ุงููุชุฑุฉ ุงูุฒู
ููุฉ ูุญุณุงุจ ATR. ุงููุชุฑุงุช ุงูุฃูุตุฑ ุชุฌุนู ุงูู
ุคุดุฑ ุฃูุซุฑ ุญุณุงุณูุฉ ูุชุบูุฑุงุช ุงูุฃุณุนุงุฑุ ุจููู
ุง ุงููุชุฑุงุช ุงูุฃุทูู ุชููู ู
ู ุญุณุงุณูุชู.
factor: ูุณู
ุญ ุจุชุนุฏูู ู
ุนุงู
ู ุงูุถุฑุจ. ุงูููู
ุงูุฃุนูู ุชุฌุนู ุงูู
ุคุดุฑ ุฃูู ุนุฑุถุฉ ูุฅุนุทุงุก ุฅุดุงุฑุงุช ุฎุงุทุฆุฉุ ูููููุง ูุฏ ุชุคุฎุฑ ุฃูุถูุง ุฅุดุงุฑุงุช ุงูุฏุฎูู.
ุฅุฏุงุฑุฉ ุงูู
ุฎุงุทุฑ:
ุฃูุงู
ุฑ ุฌูู ุงูุฃุฑุจุงุญ ูุฅููุงู ุงูุฎุณุงุฑุฉ:
TPPoints: ูุญุฏุฏ ุงูู
ุณุงูุฉ ุจูู ุณุนุฑ ุงูุฏุฎูู ูู
ุณุชูู ุฌูู ุงูุฃุฑุจุงุญ. ูุชู
ุงูุชุนุจูุฑ ุนู ูุฐู ุงูู
ุณุงูุฉ ุจุงูููุงุท (Points)ุ ููุชู
ุชุญููููุง ุฅูู ููู
ุฉ ุณุนุฑูุฉ ูุนููุฉ ุจุงุณุชุฎุฏุงู
syminfo.mintick (ุฃุตุบุฑ ุญุฑูุฉ ุณุนุฑูุฉ ู
ู
ููุฉ ููุฃุตู ุงูู
ุชุฏุงูู).
SLPoints: ูุญุฏุฏ ุงูู
ุณุงูุฉ ุจูู ุณุนุฑ ุงูุฏุฎูู ูู
ุณุชูู ุฅููุงู ุงูุฎุณุงุฑุฉ.
ุงูุฃูู
ูุฉ: ุชุชูุญ ูุฐู ุงูุฃูุงู
ุฑ ููู
ุชุฏุงูู ุชุญุฏูุฏ ุงูุญุฏ ุงูุฃูุตู ููุฎุณุงุฑุฉ ุงูุชู ูุฑุบุจ ูู ุชุญู
ููุง ูุงููุฏู ุงูุฑุจุญู ุงูุฐู ูุณุนู ูุชุญููููุ ู
ู
ุง ูุณุงุนุฏ ุนูู ุฅุฏุงุฑุฉ ุงูู
ุฎุงุทุฑ ุจุดูู ูุนุงู.
ุชูุนูู/ุชุนุทูู ุงูุตููุงุช:
isLongEnabled: ูุณู
ุญ ุจุชูุนูู ุฃู ุชุนุทูู ุตููุงุช ุงูุดุฑุงุกุ ู
ู
ุง ูู
ูู ุงูู
ุชุฏุงูู ู
ู ุงูุชุฏุงูู ูู ุงุชุฌุงู ูุงุญุฏ ููุท (ุนูู ุณุจูู ุงูู
ุซุงูุ ุงูุชุฏุงูู ููุท ูู ุงูุงุชุฌุงู ุงูุตุงุนุฏ ุฎูุงู ุณูู ุตุงุนุฏุฉ).
isShortEnabled: ูุณู
ุญ ุจุชูุนูู ุฃู ุชุนุทูู ุตููุงุช ุงูุจูุน.
isTakeProfitEnabled: ูุณู
ุญ ุจุชูุนูู ุฃู ุชุนุทูู ุฃูุงู
ุฑ ุฌูู ุงูุฃุฑุจุงุญ. ูุฏ ูุฑุบุจ ุงูู
ุชุฏุงูู ูู ุชุนุทูููุง ุฅุฐุง ูุงู ููุถู ุฅุฏุงุฑุฉ ุตููุงุชู ูุฏูููุง.
isStopLossEnabled: ูุณู
ุญ ุจุชูุนูู ุฃู ุชุนุทูู ุฃูุงู
ุฑ ุฅููุงู ุงูุฎุณุงุฑุฉ. ุนูู ุงูุฑุบู
ู
ู ุฃู ุชุนุทูููุง ูุฏ ูุจุฏู ู
ุบุฑููุง ูู ุจุนุถ ุงูุญุงูุงุชุ ุฅูุง ุฃูู ูุนุชุจุฑ ุฎุทูุฉ ู
ุญูููุฉ ุจุงูู
ุฎุงุทุฑ ููุบุงูุฉ.
ุงูุชุฎุตูุต ุงูู
ุฑุฆู:
ูู
ุท ูุนุฑุถ ุงูุฎุทูุท:
lineStyle: ูุชูุญ ููู
ุชุฏุงูู ุงุฎุชูุงุฑ ูู
ุท ุงูุฎุทูุท ุงูู
ุณุชุฎุฏู
ุฉ ูุฑุณู
ู
ุณุชููุงุช TP ู SL (Solid, Dashed, Dotted).
lineWidth: ูุญุฏุฏ ุณู
ู ุงูุฎุทูุท.
ุญุฌู
ุงูู
ูุตูุงุช:
labelSize: ูุณู
ุญ ุจุชุญุฏูุฏ ุญุฌู
ุงูู
ูุตูุงุช ุงูุชู ุชุนุฑุถ ู
ุณุชููุงุช TP ู SL (Small, Normal, Large).
ุงูุฃููุงู:
bullColor, bearColor, tpColor, slColor: ุชุชูุญ ููู
ุชุฏุงูู ุชุฎุตูุต ุฃููุงู ุงูุนูุงุตุฑ ุงูู
ุฎุชููุฉ ุนูู ุงูุฑุณู
ุงูุจูุงููุ ู
ู
ุง ูุณูู ุนู
ููุฉ ุงูุชุญููู ุงูุจุตุฑู.
3. ู
ูุทู ุนู
ู ุงูุงุณุชุฑุงุชูุฌูุฉ:
ุชุญุฏูุฏ ุฅุดุงุฑุงุช ุงูุฏุฎูู: ุชุนุชู
ุฏ ุงูุงุณุชุฑุงุชูุฌูุฉ ุนูู ู
ุคุดุฑ Supertrend ูุชุญุฏูุฏ ุฅุดุงุฑุงุช ุงูุฏุฎูู. ุนูุฏู
ุง ูุชุบูุฑ ุงุชุฌุงู Supertrend ู
ู ูุงุจุท ุฅูู ุตุงุนุฏุ ูุชู
ุชูุนูู ุตููุฉ ุดุฑุงุก (ุฅุฐุง ูุงูุช isLongEnabled ู
ูุนูุฉ). ูุนูุฏู
ุง ูุชุบูุฑ ุงูุงุชุฌุงู ู
ู ุตุงุนุฏ ุฅูู ูุงุจุทุ ูุชู
ุชูุนูู ุตููุฉ ุจูุน (ุฅุฐุง ูุงูุช isShortEnabled ู
ูุนูุฉ).
ุชูููุฐ ุงูุฃูุงู
ุฑ: ุจู
ุฌุฑุฏ ุชูุนูู ุฅุดุงุฑุฉ ุงูุฏุฎููุ ุชููู
ุงูุงุณุชุฑุงุชูุฌูุฉ ุจูุถุน ุฃูุงู
ุฑ ุงูุดุฑุงุก ุฃู ุงูุจูุน ุชููุงุฆููุง.
ุฅุฏุงุฑุฉ ุงูุตููุงุช: ุจุนุฏ ูุชุญ ุงูุตููุฉุ ุชููู
ุงูุงุณุชุฑุงุชูุฌูุฉ ุจู
ุฑุงูุจุฉ ุงูุณุนุฑ ูุชูุนูู ุฃูุงู
ุฑ ุฌูู ุงูุฃุฑุจุงุญ ูุฅููุงู ุงูุฎุณุงุฑุฉ ุชููุงุฆููุง ูู ุญุงูุฉ ูุตูู ุงูุณุนุฑ ุฅูู ุงูู
ุณุชููุงุช ุงูู
ุญุฏุฏุฉ.
ุงูุชู
ุซูู ุงูู
ุฑุฆู: ุชุนุฑุถ ุงูุงุณุชุฑุงุชูุฌูุฉ ู
ุนููู
ุงุช ู
ููุฏุฉ ุนูู ุงูุฑุณู
ุงูุจูุงููุ ู
ุซู ุฎุทูุท TP ู SL ูุฅุดุงุฑุงุช ุงูุฏุฎูู ูุงูุฎุฑูุฌุ ู
ู
ุง ูุณุงุนุฏ ุงูู
ุชุฏุงูู ุนูู ููู
ุณููู ุงูุงุณุชุฑุงุชูุฌูุฉ ูุชูููู
ุฃุฏุงุฆูุง.
4. ูุตุงุฆุญ ู
ุชูุฏู
ุฉ:
ุชุญุณูู ุงูุฅุนุฏุงุฏุงุช: ูู
ูู ุชุญุณูู ุฃุฏุงุก ุงูุงุณุชุฑุงุชูุฌูุฉ ู
ู ุฎูุงู ุชุนุฏูู ููู
ุงูู
ุฏุฎูุงุช ุงูู
ุฎุชููุฉ. ุนูู ุณุจูู ุงูู
ุซุงูุ ูู
ูู ููู
ุชุฏุงูู ุชุฌุฑุจุฉ ููู
ู
ุฎุชููุฉ ูู atrPeriod ู factor ูุชุญุณูู ุฏูุฉ ุฅุดุงุฑุงุช Supertrend.
ุงูุฌู
ุน ุจูู ุงูู
ุคุดุฑุงุช: ูู
ูู ุฏู
ุฌ ูุฐู ุงูุงุณุชุฑุงุชูุฌูุฉ ู
ุน ู
ุคุดุฑุงุช ุฃุฎุฑู ูุชุญุณูู ุฏูุฉ ุฅุดุงุฑุงุช ุงูุฏุฎูู. ุนูู ุณุจูู ุงูู
ุซุงูุ ูู
ูู ุงุณุชุฎุฏุงู
ู
ุคุดุฑ ุงูููุฉ ุงููุณุจูุฉ (RSI) ูุชุฃููุฏ ุฅุดุงุฑุงุช Supertrend.
ุงูุชุญููู ุงูุฒู
ูู: ูู
ูู ุชุญููู ุฃุฏุงุก ุงูุงุณุชุฑุงุชูุฌูุฉ ุนูู ู
ุฏู ูุชุฑุงุช ุฒู
ููุฉ ู
ุฎุชููุฉ ูุชูููู
ู
ุฏู ูุนุงููุชูุง ูู ุธุฑูู ุงูุณูู ุงูู
ุชููุนุฉ.
ุงุฎุชุจุงุฑ ุงูุงุณุชุฑุงุชูุฌูุฉ: ูุจู ุงุณุชุฎุฏุงู
ุงูุงุณุชุฑุงุชูุฌูุฉ ูู ุงูุชุฏุงูู ุงูุญููููุ ูุฌุจ ุงุฎุชุจุงุฑูุง ุนูู ุจูุงูุงุช ุชุงุฑูุฎูุฉ (Backtesting) ูุชูููู
ุฃุฏุงุฆูุง ูุชุญุฏูุฏ ุงูุฅุนุฏุงุฏุงุช ุงูู
ุซูู.
5. ุงูู
ุฎุงุทุฑ ุงูู
ุฑุชุจุทุฉ:
ุงูุฅุดุงุฑุงุช ุงูุฎุงุทุฆุฉ: ูุฏ ูุนุทู ู
ุคุดุฑ Supertrend ุฅุดุงุฑุงุช ุฎุงุทุฆุฉ ูู ุจุนุถ ุงูุฃุญูุงูุ ุฎุงุตุฉ ูู ุงูุฃุณูุงู ุงูู
ุชููุจุฉ.
ุงูุฎุณุงุฆุฑ: ุญุชู ู
ุน ุงุณุชุฎุฏุงู
ุฃูุงู
ุฑ ุฅููุงู ุงูุฎุณุงุฑุฉุ ูุฏ ูุชุนุฑุถ ุงูู
ุชุฏุงูู ูุฎุณุงุฆุฑ ูุจูุฑุฉ.
ุงูุชุญุณูู ุงูู
ูุฑุท: ูุฏ ูุคุฏู ุงูุชุญุณูู ุงูู
ูุฑุท ููุฅุนุฏุงุฏุงุช ุนูู ุจูุงูุงุช ุชุงุฑูุฎูุฉ ุฅูู ูุชุงุฆุฌ ู
ุถููุฉ. ูุฌุจ ุฃู ูููู ุงูู
ุชุฏุงูู ุญุฐุฑูุง ุจุดุฃู ุชุนู
ูู
ุงููุชุงุฆุฌ ุนูู ุงูุจูุงูุงุช ุงูู
ุณุชูุจููุฉ.
ุงูุงุนุชู
ุงุฏ ุงูุฒุงุฆุฏ ุนูู ุงูุฃุชู
ุชุฉ: ูุฌุจ ุนุฏู
ุงูุงุนุชู
ุงุฏ ุจุดูู ูุงู
ู ุนูู ุงูุงุณุชุฑุงุชูุฌูุฉ ุงูุขููุฉ. ูุฌุจ ุนูู ุงูู
ุชุฏุงูู ู
ุฑุงูุจุฉ ุงูุตููุงุช ูุงุชุฎุงุฐ ุงููุฑุงุฑุงุช ุงูู
ูุงุณุจุฉ ุนูุฏ ุงูุถุฑูุฑุฉ.
6. ุฅุฎูุงุก ุงูู
ุณุคูููุฉ:
ุฃูุง ูุณุช ู
ุณุชุดุงุฑูุง ู
ุงูููุง ู
ุฑุฎุตูุง. ูุฐู ุงูุงุณุชุฑุงุชูุฌูุฉ ู
ูุฏู
ุฉ ูุฃุบุฑุงุถ ุชุนููู
ูุฉ ูุชูุถูุญูุฉ ููุทุ ููุง ููุจุบู ุงุนุชุจุงุฑูุง ูุตูุญุฉ ุงุณุชุซู
ุงุฑูุฉ. ุงูุชุฏุงูู ูู ุงูุฃุณูุงู ุงูู
ุงููุฉ ููุทูู ุนูู ู
ุฎุงุทุฑ ูุจูุฑุฉุ ููุฏ ุชุฎุณุฑ ุฑุฃุณ ุงูู
ุงู ุงูู
ุณุชุซู
ุฑ. ูุจู ุงุชุฎุงุฐ ุฃู ูุฑุงุฑุงุช ุงุณุชุซู
ุงุฑูุฉุ ุงุณุชุดุฑ ู
ุณุชุดุงุฑูุง ู
ุงูููุง ู
ุคููุงู ููู
ุจุฅุฌุฑุงุก ุจุญุซู ุงูุฎุงุต. ุฃูุช ูุญุฏู ุงูู
ุณุคูู ุนู ูุฑุงุฑุงุชู ุงูุชุฌุงุฑูุฉ ููุชุงุฆุฌูุง. ุจุงุณุชุฎุฏุงู
ูุฐู ุงูุงุณุชุฑุงุชูุฌูุฉุ ูุฅูู ุชูุฑ ูุชูุงูู ุนูู ุฃููู ูุณุช ู
ุณุคููุงู ุนู ุฃู ุฎุณุงุฆุฑ ุฃู ุฃุถุฑุงุฑ ูุฏ ุชุชูุจุฏูุง.
CCI with Signals & Divergence [AIBitcoinTrend]๐ฝ CCI with Signals & Divergence (AIBitcoinTrend)
The Hilbert Adaptive CCI with Signals & Divergence takes the traditional Commodity Channel Index (CCI) to the next level by dynamically adjusting its calculation period based on real-time market cycles using Hilbert Transform Cycle Detection. This makes it far superior to standard CCI, as it adapts to fast-moving trends and slow consolidations, filtering noise and improving signal accuracy.
Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, helping traders identify potential reversals and manage risk effectively.
๐ฝ What Makes the Hilbert Adaptive CCI Unique?
Unlike the traditional CCI, which uses a fixed-length lookback period, this version automatically adjusts its lookback period using Hilbert Transform to detect the dominant cycle in the market.
โ
Hilbert Transform Adaptive Lookback โ Dynamically detects cycle length to adjust CCI sensitivity.
โ
Real-Time Divergence Detection โ Instantly identifies bullish and bearish divergences for early reversal signals.
โ
Implement Crossover/Crossunder signals tied to ATR-based trailing stops for risk management
๐ฝ The Math Behind the Indicator
๐พ Hilbert Transform Cycle Detection
The Hilbert Transform estimates the dominant market cycle length based on the frequency of price oscillations. It is computed using the in-phase and quadrature components of the price series:
tp = (high + low + close) / 3
smooth = (tp + 2 * tp + 2 * tp + tp ) / 6
detrender = smooth - smooth
quadrature = detrender - detrender
inPhase = detrender + quadrature
outPhase = quadrature - inPhase
instPeriod = 0.0
deltaPhase = math.abs(inPhase - inPhase ) + math.abs(outPhase - outPhase )
instPeriod := nz(3.25 / deltaPhase, instPeriod )
dominantCycle = int(math.min(math.max(instPeriod, cciMinPeriod), 500))
Where:
In-Phase & Out-Phase Components are derived from a detrended version of the price series.
Instantaneous Frequency measures the rate of cycle change, allowing the CCI period to adjust dynamically.
The result is bounded within a user-defined min/max range, ensuring stability.
๐ฝ How Traders Can Use This Indicator
๐พ Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while CCI forms a higher low.
Buy signal is confirmed when CCI shows upward momentum.
Bearish Divergence Setup:
Price makes a higher high, while CCI forms a lower high.
Sell signal is confirmed when CCI shows downward momentum.
๐พ Trailing Stop & Signal-Based Trading
Bullish Setup:
โ
CCI crosses above -100 โ Buy signal.
โ
A bullish trailing stop is placed at Low - (ATR ร Multiplier).
โ
Exit if the price crosses below the stop.
Bearish Setup:
โ
CCI crosses below 100 โ Sell signal.
โ
A bearish trailing stop is placed at High + (ATR ร Multiplier).
โ
Exit if the price crosses above the stop.
๐ฝ Why Itโs Useful for Traders
Hilbert Adaptive Period Calculation โ No more fixed-length periods; the indicator dynamically adapts to market conditions.
Real-Time Divergence Alerts โ Helps traders anticipate market reversals before they occur.
ATR-Based Risk Management โ Stops automatically adjust based on volatility.
Works Across Multiple Markets & Timeframes โ Ideal for stocks, forex, crypto, and futures.
๐ฝ Indicator Settings
Min & Max CCI Period โ Defines the adaptive range for Hilbert-based lookback.
Smoothing Factor โ Controls the degree of smoothing applied to CCI.
Enable Divergence Analysis โ Toggles real-time divergence detection.
Lookback Period โ Defines the number of bars for detecting pivot points.
Enable Crosses Signals โ Turns on CCI crossover-based trade signals.
ATR Multiplier โ Adjusts trailing stop sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Relative Vigor Index (RVI) with EMD [AIBitcoinTrend]๐ฝ Adaptive Relative Vigor Index with EMD & Signals (AIBitcoinTrend)
The Adaptive Relative Vigor Index (RVI) with Empirical Mode Decomposition (EMD) is an enhanced version of the traditional RVI, designed to improve signal clarity and responsiveness to market conditions. By integrating EMD smoothing and adaptive volatility-based trailing stops.
๐ฝ What Makes the Adaptive RVI with EMD Unique?
Unlike the standard RVI, which often lags in volatile markets, this version refines price momentum detection by applying Empirical Mode Decomposition (EMD), effectively filtering out noise. Additionally, it features ATR-based trailing stops for precise trade execution.
Key Features:
EMD-Enhanced RVI โ Filters out short-term noise, improving signal accuracy.
Crossover & Crossunder Signals โ Generates trade signals based on RVI trends.
ATR-Based Trailing Stop โ Adjusts dynamically based on volatility for optimal risk management.
๐ฝ The Math Behind the Indicator
๐พ RVI Calculation with EMD Smoothing
The Relative Vigor Index (RVI) measures trend strength by comparing the relationship between closing and opening prices, relative to the high-low range. Traditional RVI uses fixed smoothing, whereas this version applies Empirical Mode Decomposition (EMD) to extract dominant price cycles and improve trend clarity.
How It Works:
The RVI is initially calculated using a weighted moving average (WMA) over a specified period.
EMD refines the RVI signal by removing high-frequency noise, creating a smoothed RVI component.
This results in a more stable and reliable trend indicator.
๐ฝ How Traders Can Use This Indicator
๐พ Trailing Stop & Signal-Based Trading
Bullish Setup:
โ
RVI crosses above EMD โ Buy signal.
โ
A bullish trailing stop is placed at low - ATR ร Multiplier.
โ
Exit if price crosses below the stop.
Bearish Setup:
โ
RVI crosses below EMD โ Sell signal.
โ
A bearish trailing stop is placed at high + ATR ร Multiplier.
โ
Exit if price crosses above the stop.
๐พ Detecting Overbought & Oversold Areas
This indicator helps traders identify potential reversal zones by highlighting overbought and oversold conditions.
Overbought Zone: When RVI moves above 0.4, the market may be overextended, signaling a potential reversal downward.
Oversold Zone: When RVI moves below -0.4, the market may be undervalued, suggesting a possible upward reversal.
Using these levels, traders can confirm entry and exit points alongside divergence signals for higher probability trades.
๐ฝ Why Itโs Useful for Traders
EMD-Based Signal Enhancement: Filters out noise, refining momentum signals.
Adaptive ATR-Based Risk Management: Automatically adjusts stop-loss levels to market conditions.
Works Across Multiple Markets & Timeframes: Effective for stocks, forex, crypto, and futures trading.
๐ฝ Indicator Settings
RVI Length โ Defines the period for calculating the Relative Vigor Index.
EMD Period โ Controls the level of EMD smoothing applied.
Final Smoothing โ Adjusts the degree of additional signal filtering.
Lookback Period โ Determines how many bars are used for detecting pivot points.
Enable Trailing Stop โ Activates dynamic ATR-based trailing stops.
ATR Multiplier โ Adjusts the stop-loss sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Ivan Gomes StrategyIG Signals+ - Ivan Gomes Strategy
This script is designed for scalping and binary options trading, generating buy and sell signals at the beginning of each candle. Although it is mainly optimized for short-term operations, it can also be used for medium and long-term strategies with appropriate adjustments.
How It Works
โข The indicator provides buy or sell signals at the start of the candle, based on a statistical probability of candle patterns, depending on the timeframe.
โข It is essential to enter the trade immediately after the signal appears and exit at the end of the same candle.
โข If the first operation results in a loss (Loss), the script will send another trade signal at the start of the next candle. However, if the first trade results in a win (Gain), no new signal will be generated.
โข The signals follow cycles of 3 candles, regardless of the timeframe. However, if a Doji candle appears, the cycle is interrupted, and no signals will be generated until the next valid cycle starts.
โข The strategy consists of up to two trades per cycle: if the first trade is not successful, the second trade serves as an additional attempt to recover.
Key Points to Consider
1. Avoid trading in sideways markets โ If price levels do not fluctuate significantly, the accuracy of the signals may decrease.
2. Trade in the direction of the trend โ Using Ichimoku clouds or other trend indicators can help confirm trend direction and improve signal reliability. If the market is in an uptrend (bullish trend) and the indicator generates a sell signal, the most prudent decision would be to wait for a buy signal that aligns with the main trend. The same applies to downtrends, where buy signals may be riskier.
These decisions should be based on chart reading and supported by other technical analysis tools, such as support and resistance levels, which indicate zones where price might face obstacles or reverse direction. Additionally, Fibonacci retracement levels can help identify possible pullback points within a trend. Moving averages are also useful for visualizing the general market direction and confirming whether an indicator signal aligns with the overall price structure. Combining these tools can increase trade accuracy and prevent unnecessary trades against the main trend, reducing risks.
3. Works based on probability statistics โ The algorithm analyzes candle formations and their statistical probabilities depending on the timeframe to optimize trade entries.
4. Best suited for scalping and binary options โ This strategy performs best in 1-minute and 5-minute timeframes, allowing for multiple trades throughout the day.
Technical Details
โข The script detects the candle cycle and assigns an index to each candle to identify patterns and possible reversals.
โข It recognizes reference candles, stores their colors, and compares them with subsequent candles to determine if a signal should be triggered.
โข Doji candle rules are implemented to avoid false signals in indecisive market conditions. When a Doji appears, the script does not generate signals for that cycle.
โข The indicator displays visual alerts and notifications, ensuring fast execution of trades.
Disclaimer
The IG Signals+ indicator was created to assist traders who struggle to analyze the market by providing objective trade signals. However, no strategy is foolproof, and this script does not guarantee profits.
Trading involves significant financial risk, and users should test it in a demo account before trading with real money. Proper risk management is crucial for long-term success.
Dual Keltner ChannelsDual Keltner Channels (DKC) Indicator ๐
๐น About This Indicator
This indicator is an enhanced version of the original Keltner Channel available in TradingView. The Keltner Channel was initially designed as a volatility-based envelope around a moving average, helping traders identify trends, breakouts, and potential reversal zones.
๐ก Original Creator: The Keltner Channel concept is based on the work of Chester W. Keltner and was later implemented in various trading platforms, including TradingViewโs built-in Keltner Channel indicator.
This script builds upon the TradingView version of the Keltner Channel, adding:
โ
Dual Keltner Bands (Inner & Outer) for better trend and volatility analysis.
โ
Customizable Moving Averages (EMA/SMA) for flexibility.
โ
Multiple Band Calculation Methods (ATR, True Range, Range) for improved accuracy.
โ
Shaded Zones Between the Bands for enhanced visual clarity.
โก Credit: This indicator is an enhancement of the original Keltner Channel Indicator in TradingView. All improvements and modifications are made to provide deeper market insights while maintaining the core principles of the original Keltner concept.
๐น Overview
The Dual Keltner Channels (DKC) indicator overlays two Keltner Channels on the price chart, helping traders spot trends, breakouts, and reversals with greater precision.
Inner Keltner Band (Multiplier 1): Captures normal price movements.
Outer Keltner Band (Multiplier 2): Highlights extreme price movements and potential breakouts.
๐น Features & Inputs
๐ Main Inputs:
Keltner Channel Length: Defines the lookback period for the moving average calculation.
Source Price: Selects the price type (close, open, high, low) to calculate the bands.
Exponential Moving Average (EMA) Option: Choose between Exponential (EMA) or Simple (SMA) as the basis for calculations.
Bands Style: Selects how the volatility is measured:
Average True Range (ATR) (default)
True Range (TR)
Range (High - Low)
ATR Length: Determines the length of ATR calculations.
Enable Multiplier 1 & 2: Toggle to display/hide inner (multiplier 1) and outer (multiplier 2) bands.
๐ Keltner Channels Calculation:
Moving Average (MA): Uses either EMA or SMA for the midline.
Volatility Band Calculation:
Upper Band 1 (Inner Band): MA + (Multiplier 1 ร Volatility Measure)
Lower Band 1 (Inner Band): MA - (Multiplier 1 ร Volatility Measure)
Upper Band 2 (Outer Band): MA + (Multiplier 2 ร Volatility Measure)
Lower Band 2 (Outer Band): MA - (Multiplier 2 ร Volatility Measure)
๐ Visuals & Plotting:
Inner Bands (Multiplier 1): Blue upper & lower lines.
Outer Bands (Multiplier 2): Darker blue upper & lower lines.
Basis Line: White moving average.
Shaded Areas:
Between Upper 1 & Upper 2 (Light Brown Area): Identifies the upper Keltner region.
Between Lower 1 & Lower 2 (Light Brown Area): Identifies the lower Keltner region.
๐น How to Use the Dual Keltner Channels Indicator
โ
1. Trend Identification
Price above the upper outer band (Multiplier 2): Strong uptrend โ potential continuation.
Price below the lower outer band (Multiplier 2): Strong downtrend โ potential continuation.
Price within the inner bands (Multiplier 1): Sideways market โ possible consolidation.
โ
2. Breakout Trading
Break above outer upper band: Indicates a bullish breakout โ consider long trades.
Break below outer lower band: Indicates a bearish breakdown โ consider short trades.
โ
3. Overbought & Oversold Conditions
Price touching/exceeding outer bands (Multiplier 2): Potential reversal zones.
Reversal confirmation: Look for candlestick patterns (e.g., Doji, Engulfing) or divergence signals.
โ
4. Pullback & Entry Zones
Price bouncing from inner bands (Multiplier 1): Good re-entry point in trend direction.
Inner band as support/resistance: Helps in setting stop-loss and profit targets.
๐น Effective Trading Strategies Using DKC
๐ 1. Trend Following Strategy (Using Moving Average & Bands)
โ
Look for price staying above/below the basis line (MA) within the outer bands.
โ
Use pullbacks to the inner bands as re-entry points for trend continuation.
โ
Confirm trend strength with momentum indicators like RSI, MACD.
๐ 2. Breakout Trading Strategy
โ
Identify a tight consolidation phase within the inner Keltner bands.
โ
Wait for a strong breakout beyond the outer bands.
โ
Enter long/short trades based on breakout direction.
โ
Place stop-loss at the previous inner band to manage risk.
๐ 3. Reversal Strategy (Mean Reversion)
โ
When price extends beyond the outer band (Multiplier 2), look for reversal signals (candlestick patterns, RSI divergence).
โ
Enter counter-trend trades with tight stop-loss beyond the band.
โ
Target the moving average (basis line) as take-profit.
๐น Final Thoughts ๐ก
The Dual Keltner Channels (DKC) is a powerful upgrade to the standard Keltner Channel, providing:
โ
Greater clarity on trend strength
โ
More precise breakout & reversal signals
โ
Better visual insights for dynamic market conditions
๐ Best Used With: RSI, MACD, Volume Profile, Price Action Signals.
๐ Works on: Stocks, Forex, Crypto, Commodities, Indices.
RSI Multi Alert KrafturRSI Multi Alert Kraftur
Description
The "RSI Multi-Level Signals" indicator is designed to help traders identify potential buy and sell opportunities based on RSI (Relative Strength Index) crossings of multiple customizable levels. Unlike traditional RSI indicators that focus on single overbought/oversold thresholds (e.g., 70/30), this script stands out by offering four distinct buy and sell levels for enhanced flexibility and precision. It plots signals directly on the price chart and provides real-time alerts when RSI crosses these levels, making it a powerful tool for spotting entry and exit points.
Key Features
Multi-Level RSI: Configurable buy levels (e.g., 30, 25, 20, 15) and sell levels (e.g., 70, 75, 80, 85) to capture varying degrees of overbought and oversold conditions.
Visual Signals: Buy signals are marked with circles below the bars, and sell signals above the bars, each color-coded for easy identification.
Real-Time Alerts: Generates alerts once per bar when RSI crosses a level, with a filter to prevent duplicate signals during oscillations.
Customizable: Adjustable RSI length, timeframe, and level colors to suit different trading strategies.
Recommended Usage
This indicator is best used as a scanning tool for finding entry points across multiple assets. Set up alerts for your entire watchlist of coins or stocks to detect when RSI crosses the configured levels in real time. Itโs particularly effective in volatile markets or for traders employing multi-timeframe analysis. Combine it with other indicators (e.g., support/resistance or trend filters) to confirm signals and improve accuracy.
How to Use
Apply the indicator to your chart.
Customize the RSI length, timeframe, and signal levels to match your trading style.
Set up alerts for the indicator and apply them to your watchlist of assets.
Monitor the chart for buy (green) and sell (red) signals, or rely on alert notifications.
Perfect for scalpers, swing traders, or anyone looking to automate signal detection across a portfolio!
SuperTrend AI Oscillator StrategySuperTrend AI Oscillator Strategy
Overview
This strategy is a trend-following approach that combines the SuperTrend indicator with oscillator-based filtering.
By identifying market trends while utilizing oscillator-based momentum analysis, it aims to improve entry precision.
Additionally, it incorporates a trailing stop to strengthen risk management while maximizing profits.
This strategy can be applied to various markets, including Forex, Crypto, and Stocks, as well as different timeframes. However, its effectiveness varies depending on market conditions, so thorough testing is required.
Features
1๏ธโฃ Trend Identification Using SuperTrend
The SuperTrend indicator (a volatility-adjusted trend indicator based on ATR) is used to determine trend direction.
A long entry is considered when SuperTrend turns bullish.
A short entry is considered when SuperTrend turns bearish.
The goal is to capture clear trend reversals and avoid unnecessary trades in ranging markets.
2๏ธโฃ Entry Filtering with an Oscillator
The Super Oscillator is used to filter entry signals.
If the oscillator exceeds 50, it strengthens long entries (indicating strong bullish momentum).
If the oscillator drops below 50, it strengthens short entries (indicating strong bearish momentum).
This filter helps reduce trades in uncertain market conditions and improves entry accuracy.
3๏ธโฃ Risk Management with a Trailing Stop
Instead of a fixed stop loss, a SuperTrend-based trailing stop is implemented.
The stop level adjusts automatically based on market volatility.
This allows profits to run while managing downside risk effectively.
4๏ธโฃ Adjustable Risk-Reward Ratio
The default risk-reward ratio is set at 1:2.
Example: A 1% stop loss corresponds to a 2% take profit target.
The ratio can be customized according to the traderโs risk tolerance.
5๏ธโฃ Clear Trade Signals & Visual Support
Green "BUY" labels indicate long entry signals.
Red "SELL" labels indicate short entry signals.
The Super Oscillator is plotted in a separate subwindow to visually assess trend strength.
A real-time trailing stop is displayed to support exit strategies.
These visual aids make it easier to identify entry and exit points.
Trading Parameters & Considerations
Initial Account Balance: Default is $7,000 (adjustable).
Base Currency: USD
Order Size: 10,000 USD
Pyramiding: 1
Trading Fees: $0.94 per trade
Long Position Margin: 50%
Short Position Margin: 50%
Total Trades (M5 Timeframe): 1,032
Visual Aids for Clarity
This strategy includes clear visual trade signals to enhance decision-making:
Green "BUY" labels for long entries
Red "SELL" labels for short entries
Super Oscillator plotted in a subwindow with a 50 midline
Dynamic trailing stop displayed for real-time trend tracking
These visual aids allow traders to quickly identify trade setups and manage positions with greater confidence.
Summary
The SuperTrend AI Oscillator Strategy is developed based on indicators from Black Cat and LuxAlgo.
By integrating high-precision trend analysis with AI-based oscillator filtering, it provides a strong risk-managed trading approach.
Important Notes
This strategy does not guarantee profitsโperformance varies based on market conditions.
Past performance does not guarantee future results. Markets are constantly changing.
Always test extensively with backtesting and demo trading before using it in live markets.
Risk management, position sizing, and market conditions should always be considered when trading.
Conclusion
This strategy combines trend analysis with momentum filtering, enhancing risk management in trading.
By following market trends carefully, making precise entries, and using trailing stops, it seeks to reduce risk while maximizing potential profits.
Before using this strategy, be sure to test it thoroughly via backtesting and demo trading, and adjust the settings to match your trading style.
[GYTS] Filters ToolkitFilters Toolkit indicator
๐ธ Part of GoemonYae Trading System (GYTS) ๐ธ
๐ธ --------- 1. INTRODUCTION --------- ๐ธ
๐ฎ Overview
The GYTS Filters Toolkit indicator is an advanced, interactive interface built atop the highโperformance, curated functions provided by the FiltersToolkit library . It allows traders to experiment with different combinations of filtering methods -โ from smoothing low-pass filters to aggressive detrenders. With this toolkit, you can build custom indicators tailored to your specific trading strategy, whether you're looking for trend following, mean reversion, or cycle identification approaches.
๐ธ --------- 2. FILTER METHODS AND TYPES --------- ๐ธ
๐ฎ Filter categories
The available filters fall into four main categories, each marked with a distinct symbol:
๐ Low Pass Filters (Smoothers)
These filters attenuate high-frequency components (noise) while allowing low-frequency components (trends) to pass through. Examples include:
Ultimate Smoother
Super Smoother (2-pole and 3-pole variants)
MESA Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA)
BiQuad Low Pass Filter
ADXvma (Adaptive Directional Volatility Moving Average)
A2RMA (Adaptive Autonomous Recursive Moving Average)
Low pass filters are displayed on the price chart by default, as they follow the overall price movement. If they are combined with a high-pass or bandpass filter, they will be displayed in the subgraph.
๐ High Pass Filters (Detrenders)
These filters do the opposite of low pass filters - they remove low-frequency components (trends) while allowing high-frequency components to pass through. Examples include:
Butterworth High Pass Filter
BiQuad High Pass Filter
High pass filters are displayed as oscillators in the subgraph below the price chart, as they fluctuate around a zero line.
๐ Band Pass Filters (Cycle Isolators)
These filters combine aspects of both low and high pass filters, isolating specific frequency ranges while attenuating both higher and lower frequencies. Examples include:
Ehlers Bandpass Filter
Cyber Cycle
Relative Vigor Index (RVI)
BiQuad Bandpass Filter
Band pass filters are also displayed as oscillators in a separate panel.
๐ฎ Predictive Filter
Voss Predictive Filter: A special filter that attempts to predict future values of band-limited signals (only to be used as post-filter). Keep its prediction horizon short (1โ3 bars) for reasonable accuracy.
Note that the the library contains elaborate documentation and source material of each filter.
๐ธ --------- 3. INDICATOR FEATURES --------- ๐ธ
๐ฎ Multi-filter configuration
One of the most powerful aspects of this indicator is the ability to configure multiple filters. compare them and observe their combined effects. There are four primary filters, each with its own parameter settings.
๐ฎ Post-filtering
Process a filterโs output through an additional filter by enabling the post-filter option. This creates a filter chain where the output of one filter becomes the input to another. Some powerful combinations include:
Ultimate Smoother โ MAMA: Creates an adaptive smoothing effect that responds well to market changes, good for trend-following strategies
Butterworth โ Super Smoother โ Butterworth: Produces a well-behaved oscillator with minimal phase distortion, John Ehlers also calls a "roofing filter". Great for identifying overbought/oversold conditions with minimal lag.
A bandpass filter โ Voss Prediction filter: Attempts to predict future movements of cyclical components, handy to find peaks and troughs of the market cycle.
๐ฎ Aggregate filters
Arguably the coolest feature: aggregating filters allow you to combine multiple filters with different weights. Important notes about aggregation:
You can only aggregate filters that appear on the same chart (price chart or oscillator panel).
The weights are automatically normalised, so only their relative values matter
Setting a weight to 0 (zero) excludes that filter from the aggregation
Filters don't need to be visibly displayed to be included in aggregation
๐ฎ Rich visualisation & alerts
The indicator intelligently determines whether a filter is displayed on the price chart or in the subgraph (as an oscillator) based on its characteristics.
Dynamic colour palettes, adjustable line widths, transparency, and custom fill between any of enabled filters or between oscillators and the zero-line.
A clear legend showing which filters are active and how they're configured
Alerts for direction changes and crossovers of all filters
๐ธ --------- 4. ACKNOWLEDGEMENTS --------- ๐ธ
This toolkit builds on the work of numerous pioneers in technical analysis and digital signal processing:
John Ehlers, whose groundbreaking research forms the foundation of many filters.
Robert Bristow-Johnson for the BiQuad filter formulations.
The TradingView community, especially @The_Peaceful_Lizard, @alexgrover, and others mentioned in the code of the library.
Everyone who has provided feedback, testing and support!
[TehThomas] - MA Cross with DisplacementThis TradingView script, "MA Cross with Displacement," is designed to detect potential long and short trade opportunities based on moving average (MA) crossovers combined with price displacement confirmation. The script utilizes two simple moving averages (SMA) and highlights potential trade signals when a crossover occurs alongside a strong price movement (displacement).
Why This Indicator is Useful
This indicator enhances the standard moving average crossover strategy by incorporating a displacement condition, making trade signals more reliable. Many traders rely on moving average crossovers to determine trend reversals, but false signals often occur due to minor price fluctuations. By requiring a significant price movement (displacement), this indicator helps filter out weak or insignificant crossovers, leading to more high-probability trade opportunities.
How It Works
Calculates Two Moving Averages (MA)
The user can set two different MA periods:
MA 1 (blue line): Default period is 9 (shorter-term trend).
MA 2 (red line): Default period is 21 (longer-term trend).
These moving averages smooth out price fluctuations to identify overall trends.
Detects Crossovers
Bullish crossover: The blue MA crosses above the red MA + displacement candle โ Potential long signal.
Example of bullish cross with displacement:
Bearish crossover: The blue MA crosses below the red MA + displacement candle โ Potential short signal.
Example of bearish cross with displacement:
Confirms Displacement (Strong Price Move)
A price displacement threshold is used (default: 1.1% of the previous candle size).
For a valid trade signal, a crossover must occur alongside a strong price movement.
Bullish Displacement Condition: Price increased by more than the threshold.
Bearish Displacement Condition: Price decreased by more than the threshold.
Visual Indicators on the Chart
Bars are colored green when there is a bullish displacement.
Bars are colored red when there is a bearish displacement.
These color changes help traders quickly identify potential trade setups.
How to Use the Indicator
Add the Script to Your Chart
Copy and paste the script into TradingView's Pine Script Editor.
Click "Add to Chart" to activate it.
Customize the Settings
Adjust the moving average periods to fit your trading strategy.
Modify the displacement threshold based on market volatility.
Change the bar colors for better visualization.
Look for Trade Signals
Long Trade (Buy Signal)
The blue MA crosses above the red MA (bullish crossover).
A green bar appears, confirming bullish displacement.
Short Trade (Sell Signal)
The blue MA crosses below the red MA (bearish crossover).
A red bar appears, confirming bearish displacement.
Use in Conjunction with Other Indicators
This indicator works best when combined with support & resistance levels, RSI, MACD, or volume analysis to improve trade accuracy.
Final Thoughts
The MA Cross with Displacement Indicator improves the reliability of moving average crossovers by requiring strong price movements to confirm a trade signal. This helps traders avoid false breakouts and weak trends, making it a powerful tool for identifying high-probability trades.
__________________________________________
Thanks for your support!
If you found this idea helpful or learned something new, drop a like ๐ and leave a commentโIโd love to hear your thoughts! ๐
Make sure to follow me for more price action insights, free indicators, and trading strategies. Letโs grow and trade smarter together! ๐โจ
6-Hour Forecast (15m Steps) with Arrowed Lines & 95% CI -BesharaExplanation
Timeframe Conversion:
The helper function converts the chartโs timeframe (e.g., "15", "1H", etc.) into minutes so that the script can determine how many bars correspond to a 15โminute interval.
Regression & Forecasting:
The script calculates a linear regression over the specified number of bars, approximates the slope, and computes the standard deviation of the residuals for error estimation. Then, for each forecast step (every 15 minutes for 6 hours), it extrapolates the forecast, calculates the 95% confidence interval, and draws red line segments connecting forecast points.
Visualization:
Arrows: At each forecast point, an arrow (โฒ for upward, โผ for downward, or โ for unchanged) is drawn to indicate direction.
Confidence Intervals: Dotted orange lines display the 95% confidence interval at each forecast point.
Final Label: A label at the final forecast point shows the predicted price and its confidence interval.
Historical Regression: The blue line represents the historical regression line.
This script is provided for educational purposes only and does not guarantee predictive accuracy. Always use multiple tools and proper risk management in trading.
Precision Order Block FinderPrecision Order Block Finder
This advanced indicator identifies high-probability Order Block patterns with customizable confirmation parameters for increased precision and reliability. Unlike basic Order Block indicators, this tool allows you to specify the exact confirmation criteria needed before marking a pattern as valid.
Key Features:
Detects both bullish and bearish Order Block patterns
Customizable confirmation candle settings (1:3 ratio by default)
Adjustable visual properties including transparency and line styles
Optional price labels for quick reference
Filter options to display only bullish, bearish, or both pattern types
How It Works:
The indicator identifies potential Order Blocks by locating a trigger candle (bearish for bullish patterns, bullish for bearish patterns) followed by your specified number of confirmation candles in the opposite direction. This multi-candle confirmation approach helps filter out false signals and focuses on the most reliable trading opportunities.
Perfect for both swing and intraday traders looking to identify key market turning points with greater accuracy. The visual representation clearly highlights potential entry zones and price targets to streamline your trading decisions.
Adjust the settings to match your trading style and timeframe preferences for optimal results.
Market Structure [ActiveQuants]The Market Structure indicator is a powerful tool designed to help traders identify key market structure shifts and change of character (CHoCH) points. By plotting swing highs, swing lows, and structural breaks , this indicator allows traders to track price action dynamics, improving trade execution and strategy development.
โ KEY FEATURES
Market Structure Visualization : Automatically detects and plots pivot highs and pivot lows , highlighting structural points on the chart.
Change of Character (CHoCH) Detection : Identifies bullish and bearish CHoCH events, marking key shifts in market sentiment.
Customizable Sensitivity : Adjust the pivot sensitivity to fine-tune market structure identification based on different trading styles and timeframes.
Dynamic Labeling & Line Management : Automatically removes old lines and labels to keep the chart clean and focused on recent price action.
User-Defined Display Options : Customize the colors, visibility, and number of bars shown to match your personal trading preferences.
โ CONCLUSION
The Market Structure & CHoCH Indicator is an essential tool for traders who rely on price action and structure-based strategies. By visually mapping key swing points and structure shifts , it enhances decision-making, helping traders align with the market trend and spot potential reversals.
โ IMPORTANT
โ CHoCH signals should be used in conjunction with other confluences such as supply & demand zones, order flow, or trend confirmation.
โ Adjust pivot sensitivity based on your preferred timeframe and asset class to optimize accuracy.
Incorporate this indicator into your trading workflow to enhance market structure analysis and refine entry & exit strategies .
๐ Happy trading! ๐
RSI with Bollinger Bands and Buy/Sell SignalsPurpose:
This indicator combines the Relative Strength Index (RSI) with Bollinger Bands to identify overbought and oversold conditions in the market. It also generates buy and sell signals based on the interaction between the RSI and the Bollinger Bands. It is particularly useful for traders looking for opportunities in volatile or trending markets.
How It Works:
RSI (Relative Strength Index):
The RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought (values > 70) or oversold (values < 30).
In this indicator, horizontal lines at levels 70 (overbought) and 30 (oversold) are used as reference points.
Bollinger Bands:
Bollinger Bands are calculated around a smoothed moving average of the RSI. The upper band represents dynamic overbought levels, while the lower band indicates dynamic oversold levels.
These bands automatically adjust their width based on the volatility of the RSI, allowing them to adapt to different market conditions.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the RSI exceeds both the upper Bollinger Band and the overbought level (70). This suggests that the asset is in an extreme bullish phase.
Sell Signal: A sell signal is generated when the RSI falls below both the lower Bollinger Band and the oversold level (30). This suggests that the asset is in an extreme bearish phase.
Alerts:
The indicator includes automatic alerts to notify you when buy or sell signals are generated. This allows traders to act quickly on new opportunities.
Best Practices:
Confirmation in Lower Timeframes:
Although this indicator is powerful, it is recommended to confirm signals in lower timeframes before making trading decisions. For example:
If you receive a buy signal on a 4-hour chart, check if the RSI and Bollinger Bands on lower timeframes (such as 1 hour or 15 minutes) also show bullish signals.
This reduces the risk of false positives and increases the accuracy of your entries.
Use in Trends:
This indicator works best in markets with clear trends. In sideways or low-volatility markets, signals may be less reliable due to the lack of directional momentum.
Risk Management:
Always use stop-loss and take-profit to protect your positions. Buy and sell signals are just one tool for analysis; they do not guarantee results.
Combination with Other Indicators:
To improve accuracy, consider combining this indicator with others, such as MACD, Stochastic Oscillator, or Japanese candlestick patterns. This can provide additional confirmation before opening a position.
Summary:
The RSI + Bollinger Bands with Buy/Sell Signals indicator is an advanced tool designed to identify entry and exit points in the market based on extreme overbought and oversold conditions. However, to maximize its effectiveness, it is crucial to confirm signals in lower timeframes and use it in combination with other technical analysis tools. With proper risk management and careful interpretation of signals, this indicator can be a valuable ally in your trading strategy.
Indicator BMS V5 [Traderhood]Introducing BMS (Base Market Strategy)
Overview
Base Market Strategy (BMS) is a trend-following and oscillator indicator designed to detect market trends with high accuracy while providing clear entry signals. BMS utilizes four Exponential Moving Averages (EMA) to filter trends across multiple timeframes and Bollinger Bands (BB) to identify overbought and oversold zones. This approach makes BMS highly suitable for scalping strategies in lower timeframes with a high win rate potential.
Key Features
๐ Multi-EMA Trend Filtering
Uses 4 EMAs to confirm the dominant trend.
Separates trend detection between lower timeframes and H1 for additional validation.
๐ฏ Dynamic Overbought & Oversold Detection
Sell signal occurs when the price touches the Bollinger Bands Upper.
Buy signal occurs when the price touches the Bollinger Bands Lower.
๐ฅ High Win Rate Scalping Strategy
Designed to capture quick price movements in trending markets.
Ideal for traders looking for fast executions with controlled risk.
๐จ Customizable Visual Enhancements
Users can adjust indicator colors to match their personal preferences.
How It Works
1๏ธโฃ EMA-Based Trend Identification
The indicator applies 4 EMAs to determine short-term and medium-term trends.
If the price is above all EMAs โ Bullish trend.
If the price is below all EMAs โ Bearish trend.
2๏ธโฃ Bollinger Bands Signal Generation
Sell Entry: When the price touches Bollinger Bands Upper, indicating an overbought area.
Buy Entry: When the price touches Bollinger Bands Lower, indicating an oversold area.
3๏ธโฃ Scalping Execution
Entries are executed only on lower timeframes with trend confirmation from H1 EMA.
Profit targets are adjusted based on volatility, while stop loss is placed outside the Bollinger Bands.
4๏ธโฃ Visual Customization
Indicator colors can be modified for better visibility.
Practical Applications
โ
Scalping Strategy โ Uses Bollinger Bands and EMA filtering for fast trades.
โ
Trend Confirmation โ Multi-timeframe EMA validation ensures precise entries.
โ
Dynamic Support & Resistance โ Bollinger Bands help identify potential reversals.
โ
Noise Reduction โ EMA filtering removes minor price fluctuations for clearer signals.
๐ Settings
EMA Periods: 4 EMAs for trend filtering.
Bollinger Bands Length: 20 (default), adjustable.
Bollinger Bands Deviation: 2 (default).
Color Customization: Users can personalize indicator colors as needed.
๐ Conclusion
Base Market Strategy (BMS) is a high win-rate scalping indicator, combining trend-following EMA filtering with momentum reversal detection from Bollinger Bands. With a dynamic and adaptive approach, this indicator provides precise entry signals while reducing noise from insignificant price movements.
Key Takeaways:
โ High Accuracy โ A combination of EMA and Bollinger Bands provides clear signals.
โ Scalping Optimization โ Works best on lower timeframes with H1 validation.
โ Visual Customization โ Users can adjust the indicator colors to their preference.
โ Simple Yet Powerful โ Easy to use but highly effective in capturing market opportunities.
๐น Disclaimer: Trading carries high risks. Always backtest and optimize settings to align with your risk tolerance before live trading.
