Bollinger Bands MTF & Kalman Filter | Flux Charts📈 Multi-Timeframe Kalman Filtered Bollinger Bands Indicator
Introducing our MTF Kalman Filtered Bollinger Bands – a powerful multi-timeframe Bollinger Bands (BB) indicator enhanced with Kalman filtering for superior smoothing and trend analysis. This indicator dynamically adapts Bollinger Bands across multiple timeframes while incorporating volume-based gradient transparency to highlight significant price movements. This indicator is better optimized for lower timeframes.
❓ How to Interpret the Bands & Volume Gradient:
Our indicator combines Lower Timeframe (LTF) and Higher Timeframe (HTF) Bollinger Bands to provide a comprehensive trend analysis. It applies Kalman filtering to the LTF bands, ensuring smoother, noise-reduced signals. The color gradient and relative volume-based transparency offer deeper insights into price strength.
🔹 LTF Bollinger Bands: Shorter-period bands filtered with a Kalman smoothing algorithm, reducing lag and noise.
🔹 HTF Bollinger Bands: Traditional Bollinger Bands plotted on a higher timeframe, offering macro trend analysis.
🔹 Volume Gradient Transparency: The bands adjust their opacity based on relative buy/sell volume, allowing traders to assess momentum strength.
📌 How Does It Work?
1️⃣ Multi-Timeframe Bollinger Bands Calculation
The LTF BB uses Kalman filtering for a smoother price representation, helping to reduce false signals.
The HTF BB is EMA-smoothed for improved trend clarity.
2️⃣ Adaptive Gradient Transparency
The opacity of the fill color between the bands is determined by relative buy/sell volume.
Higher buy volume = stronger bullish signal (greener bands).
Higher sell volume = stronger bearish signal (redder bands).
3️⃣ Dynamic Trend Signals & Breakouts
Buy Signal: When price breaks below the HTF lower band and LTF bands start rising.
Sell Signal: When price breaks above the HTF upper band and LTF bands start falling.
⚙️ Settings & Customization:
🛠 LTF and HTF Bollinger Bands Settings:
Multiplier: The multiplier applied to the BB to determine the upper and lower bands
Length: Define the number of bars determines the BB calculations.
Custom Timeframe Selection: Choose from predefined options (e.g., 5m, 15m, 1H, 4H, etc).
🎨 Gradient & Transparency Settings:
Bullish/Bearish Color Options: Customize colors for uptrend and downtrend conditions.
Max & Min Opacity: Adjust the transparency levels based on volume intensity.
Solid vs. Gradient Mode: Choose between a gradient fill or a solid color mode for clarity.
📌 Recommended Settings for Optimal Use:
1️⃣ Timeframe Selection (LTF -> HTF):
1 min -> 5 min
2 min -> 5 min
3 min -> 15 min
5 min -> 15 min
15 min -> 1 hr
1 hr -> 4 hr
4 hr -> 1 day
2️⃣ Multiplier: Use 2.0 for LTF and 2.25 for HTF
3️⃣Length: Use a length of 20 - 30 bars
🚀 Why Use This Indicator?
✅ Multi-Timeframe Bollinger Bands with Kalman Filtering – Ideal for traders looking for reduced lag and clearer trend signals.
✅ Volume-Based Transparency – See momentum shifts instantly with adaptive opacity.
✅ Dynamic Buy & Sell Signals – Alerts based on price action + volume trends.
✅ Customizable for Any Strategy – Adjust colors, timeframes, and filtering options for personalized trading.
Oscillators
Adaptive RSI with Real-Time Divergence [AIBitcoinTrend]👽 Adaptive RSI Trailing Stop (AIBitcoinTrend)
The Adaptive RSI Trailing Stop is an indicator that integrates Gaussian-weighted RSI calculations with real-time divergence detection and a dynamic ATR-based trailing stop. This advanced approach allows traders to monitor momentum shifts, identify divergences early, and manage risk with adaptive trailing stop levels that adjust to price action.
👽 What Makes the Adaptive RSI with Signals and Trailing Stop Unique?
Unlike traditional RSI indicators, this version applies a Gaussian-weighted smoothing algorithm, making it more responsive to price action while reducing noise. Additionally, the trailing stop feature dynamically adjusts based on volatility and trend conditions, allowing traders to:
Detects real-time divergences (bullish/bearish) with a smart pivot-based system.
Filter noise with Gaussian weighting, ensuring smoother RSI transitions.
Utilize crossover-based trailing stop activation, for systematic trade management.
👽 The Math Behind the Indicator
👾 Gaussian Weighted RSI Calculation
Traditional RSI calculations rely on simple averages of gains and losses. Instead, this indicator weights recent price changes using a Gaussian distribution, prioritizing more relevant data points while maintaining smooth transitions.
Key Features:
Exponential decay ensures recent price changes are weighted more heavily.
Reduces short-term noise while maintaining responsiveness.
👾 Real-Time Divergence Detection
The indicator detects bullish and bearish divergences using pivot points on RSI compared to price action.
👾 Dynamic ATR-Based Trailing Stop
Bullish Trailing Stop: Activates when RSI crosses above 20 and dynamically adjusts based on low - ATR multiplier.
Bearish Trailing Stop: Activates when RSI crosses below 80 and adjusts based on high + ATR multiplier
This allows traders to:
Lock in profits systematically by adjusting stop-losses dynamically.
Stay in trades longer while maintaining adaptive risk management.
👽 How It Adapts to Market Movements
✔️ Gaussian Filtering ensures smooth RSI transitions while preventing excessive lag.
✔️ Real-Time Divergence Alerts provide early trade signals based on price-RSI discrepancies.
✔️ ATR Trailing Stop dynamically expands or contracts based on market volatility.
✔️ Crossover-Based Activation enables the stop-loss system only when RSI confirms a momentum shift.
👽 How Traders Can Use This Indicator
👾 Divergence Trading
Traders can use real-time divergence detection to anticipate reversals before they happen.
Bullish Divergence Setup:
Look for RSI making a higher low, while price makes a lower low.
Enter long when RSI confirms upward momentum.
Bearish Divergence Setup:
Look for RSI making a lower high, while price makes a higher high.
Enter short when RSI confirms downward momentum.
👾 Trailing Stop Signals
Bullish Signal and Trailing Stop Activation:
When RSI crosses above 20, a trailing stop is placed using low - ATR multiplier.
If price crosses below the stop, it exits the trade and removes the stop.
Bearish Signal and Trailing Stop Activation:
When RSI crosses below 80, a trailing stop is placed using high + ATR multiplier.
If price crosses above the stop, it exits the trade and removes the stop.
This makes trend-following strategies more efficient, while ensuring proper risk management.
👽 Why It’s Useful for Traders
✔️ Dynamic and Adaptive: Adjusts to changing market conditions automatically.
✔️ Noise Reduction: Gaussian-weighted RSI reduces short-term price distortions.
✔️ Comprehensive Strategy Tool: Combines momentum detection, divergence analysis, and automated risk management into a single indicator.
✔️ Works Across Markets & Timeframes: Suitable for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
RSI Length: Defines the lookback period for RSI smoothing.
Gaussian Sigma: Controls how much weight is given to recent data points.
Enable Signal Line: Option to display an RSI-based moving average.
Divergence Lookback: Configures how far back pivot points are detected.
Crossover/crossunder values for signals: Set the crossover/crossunder values that triggers signals.
ATR Multiplier: Adjusts trailing stop sensitivity to market volatility.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Weighted Relative Strength Index [SeerQuant]Weighted Relative Strength Index (WRSI)
The Weighted Relative Strength Index (WRSI) is an advanced momentum oscillator that enhances the traditional RSI by incorporating customizable weighting methods and moving average smoothing. With dynamic threshold logic, color-coded visuals, and optional candle coloring, the WRSI provides traders with a versatile tool for identifying trends, overbought/oversold conditions, and momentum shifts.
⚙️ How It Works
1. Weighted Momentum Calculation
The indicator calculates price changes (delta) and applies a user-defined weighting method (e.g., Volume, Momentum, Volatility, or Reversion Factor) to emphasize specific market dynamics.
2. Custom Moving Average Integration
Weighted upward and downward price movements are smoothed using a selectable moving average type (e.g., SMA, EMA, TEMA, etc.), producing a weighted RSI that blends momentum and trend data.
3. Smoothed RSI Output
An additional moving average is applied to the weighted RSI for a smoothed version, offering a clearer view of momentum trends.
4. Threshold Logic
Bullish (Uptrend): WRSI exceeds the upper neutral zone boundary (50 + Neutral Zone).
Bearish (Downtrend): WRSI falls below the lower neutral zone boundary (50 - Neutral Zone).
Neutral: WRSI remains within the neutral zone.
Extreme overbought (90+) and oversold (20-) levels are marked with X’s for quick identification.
5. Dynamic Visual Representation
A color-coded line reflects the WRSI, adjusting hues based on trend direction.
Gradient fills highlight overbought/oversold zones and neutral areas.
Optional candle coloring ties price action to WRSI or smoothed RSI values.
A histogram-style fill between the WRSI and midline enhances trend strength visibility.
✨ Customizable Settings
Calculation Settings:
Calculation Source: Select the price source (default: close).
Calculation Length: Set the lookback period for RSI calculation (default: 14).
Moving Average Type: Choose from SMA, EMA, RMA, WMA, VWMA, LSMA, HMA, ALMA, DEMA, or TEMA (default: RMA).
Moving Average Length: Adjust the smoothing period for the weighted RSI (default: 8).
Neutral Zone Range: Define the width of the neutral zone around the midline (default: 5).
RSI Weighting Method:
Volume: Weights by trading volume.
Momentum: Weights by absolute price momentum.
Volatility: Weights by standard deviation.
Reversion Factor: Weights inversely to variance for mean-reversion emphasis (default: Momentum).
Style Settings:
Colour Choice: Pick from predefined schemes: Default, Modern, Cool, or Monochrome (default: Default).
Use Custom Colors?: Toggle to use custom bull, bear, and neutral colors (default: false).
Bull/Bear/Neutral Colors: Set custom colors when enabled (default: green/red/gray).
Candle Color Mode: Color candles based on WRSI or smoothed RSI (default: RSI).
Color Candles?: Enable/disable candle coloring (default: false).
🚀 Features and Benefits
Weighted Momentum Analysis: Enhances RSI with dynamic weighting for deeper market insights.
Flexible Smoothing: Multiple MA types and adjustable lengths adapt to various trading styles.
Visual Intuition: Color-coded outputs, gradient fills, and optional candle coloring simplify trend analysis.
Customizable Thresholds: Neutral zone and extreme levels cater to individual strategies.
Overbought/Oversold Signals: Clear markers for extreme conditions improve decision-making.
📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Market Participation Index [PhenLabs]📊 Market Participation Index
Version: PineScript™ v6
📌 Description
Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology.
🚀 Points of Innovation:
Automatic market condition detection system with intelligent preset selection
Multi-statistical approach combining classical and advanced metrics
Fractal-based divergence system with quality scoring
Adaptive threshold calculation using statistical properties of current market
🚨 Important🚨
The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel.
🔧 Core Components
Statistical Foundation: Multiple statistical measures combined with weighted approach
Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile)
Change Point Detection: Bayesian analysis for finding significant market structure shifts
Divergence System: Fractal-based pattern detection with quality assessment
Adaptive Visualization: Dynamic color schemes with context-appropriate settings
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions
Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis
Auto-preset System: Automatically selects optimal settings for current conditions
Fractal Divergence Analysis: Detects and grades quality of divergence patterns
Adaptive Thresholds: Dynamically adjusts overbought/oversold levels
🎨 Visualization
Color-coded Oscillator: Gradient-filled oscillator line showing intensity
Divergence Markings: Clear visualization of bullish and bearish divergences
Threshold Lines: Dynamic or fixed overbought/oversold levels
Preset Information: On-chart display of current market conditions
Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes
Classic
Modern
Monochrome
Neon
📖 Usage Guidelines
The indicator offers several customization options:
Market Condition Settings:
Preset Mode: Choose between Auto-detection or specific market condition presets
Color Theme: Select visual theme matching your chart style
Divergence Labels: Choose whether or not you’d like to see the divergence
✅ Best Use Cases:
Identify potential market reversals through statistical divergences
Detect changes in market structure before price confirmation
Filter trades based on current market condition (trending vs. ranging)
Find optimal entry and exit points using adaptive thresholds
Monitor shifts in market participation and momentum
⚠️ Limitations
Requires sufficient historical data for accurate statistical analysis
Auto-detection may lag during rapid market condition changes
Advanced statistical calculations have higher computational requirements
Manual preset selection may be required in certain transitional markets
💡 What Makes This Unique
Statistical Depth: Goes beyond traditional indicators with advanced statistical measures
Adaptive Intelligence: Automatically adjusts to current market conditions
Bayesian Analysis: Identifies statistically significant change points in market structure
Multi-factor Approach: Combines multiple statistical dimensions for confirmation
Fractal Divergence System: More robust than traditional divergence detection methods
🔬 How It Works
The indicator processes market data through four main components:
Market Condition Analysis:
Evaluates trend strength, volatility, and price patterns
Automatically selects optimal preset parameters
Adapts sensitivity based on current conditions
Statistical Oscillator:
Combines multiple statistical measures with weights
Normalizes values to consistent scale
Applies adaptive smoothing
Advanced Statistical Analysis:
Calculates higher-order statistical moments
Applies information-theoretic measures
Detects distribution anomalies
Divergence Detection:
Uses fractal theory to identify pivot points
Detects and scores divergence quality
Filters signals based on current market phase
💡 Note:
The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
SENEE momentum indicator Ver#2Use the method of finding the difference between the current and previous closing prices and then sum the values in a given period.
In ver2, Demand and Supply zone and Greed and Fear zone have been added to help in decision making.
Good luck
ใช้หลักการหาส่วนต่างระหว่างราคาปิดปัจจุบันกับราคาปิดก่อนหน้า แล้วหาผลรวมในช่วงเวลาที่กำหนด
ในเวอร์ชัน 2 ได้เพิ่ม Demand & Supply zone และ Greed and Fear zone เข้ามาเพื่อช่วยในการตัดสินใจ
ขอให้โชคดี
AntoQQE - HistogramThis script displays a QQE-based momentum histogram, derived from the RSI line’s deviation around a neutral 50 level. It uses a smoothed RSI, monitors volatility with a dynamically adjusted multiplier, and then plots a color-coded histogram that helps traders see when the RSI is entering strong bullish or bearish territory:
• Smoothed RSI Calculation
The script calculates RSI for a user-defined period and then smooths it with an EMA. This reduces noise in the indicator’s readings.
• Dynamic Average Range (DAR)
The script computes volatility by taking the absolute change of the smoothed RSI, applying two EMAs, and multiplying by a QQE factor. This produces a band around the RSI that adapts to changes in market volatility.
• Histogram Centering and Thresholds
Rather than plotting the RSI itself, the script subtracts 50 from the RSI to center it around zero. Columns are plotted for each bar:
Blue when momentum is significantly above zero (over a threshold value).
Red when momentum is significantly below zero (under a negative threshold).
Gray when momentum is within a neutral range.
• Usage
By observing when columns turn blue or red—and how far they extend above or below zero—traders can quickly gauge the market’s momentum. The horizontal threshold lines (dashed by default) provide clear breakout levels for bullish or bearish conditions, which can help confirm entries or exits based on shifting market sentiment. It is best paired with the AntoQQE - Bars indicator for better chart visualization.
Cycle Buy-SellThis is just for the 4-year market cycle highs and lows for those who are buying and hodling but still want to take profits each cycle. Buy and sell rules are as follows:
### **📊 Buy & Sell Signal Conditions Summary**
---
### **✅ Buy Signal Conditions (`▲` Buy Signal)**
A **buy signal** is triggered when **any** of the following conditions are met:
#### **1️⃣ Standard Buy Condition (Momentum-Based)**
✅ **55 SMA is Below the 220 SMA** (`ma1 < ma2`)
- Confirms that the market is in a **longer-term downtrend** before considering a buy.
✅ **RSI is Below 30** (`rsi < 30`)
- Signals that the asset is **oversold** and could be due for a reversal.
✅ **Stochastic RSI K is Below 25** (`stoch_k < 25`)
- Indicates **extreme bearish momentum**, often preceding a bounce.
✅ **Money Flow Index (MFI) is Below 30** (`mfi < 30`)
- Suggests **weak buying pressure**, often seen at market bottoms.
✅ **Volume is Above 1.2x the 20-Period Moving Average** (`highVolume`)
- Confirms that the buy signal occurs **during strong market participation** to reduce false signals.
---
#### **2️⃣ 1400 SMA Cross Buy Condition (Cycle-Based)**
✅ **Price Crosses Below the 1400 SMA** (`ta.crossunder(close, ma4)`)
- Signals a **potential long-term accumulation opportunity**.
- **Triggers a separate buy signal**, independent of other conditions.
---
### **📉 Sell Signal Conditions (`▼` Sell Signal)**
A **sell signal** is triggered when **any** of the following conditions are met:
#### **1️⃣ Standard Sell Condition (Momentum-Based)**
✅ **55 SMA is Above the 220 SMA** (`ma1 > ma2`)
- Confirms that the market is in a **longer-term uptrend** before considering a sell.
✅ **RSI is Above 70** (`rsi > 70`)
- Indicates that the asset is **overbought** and could be due for a correction.
✅ **Stochastic RSI K is Above 80** (`stoch_k > 80`)
- Signals **extreme bullish momentum**, often seen before a drop.
✅ **Money Flow Index (MFI) is Above 80** (`mfi > 80`)
- Suggests **strong buying pressure**, often occurring near market tops.
✅ **Volume is Above 1.2x the 20-Period Moving Average OR MVRV Z-Score > 2.5**
- `highVolume` = Volume is significantly above the average.
- `mvrvTop = mvrv > 2.5` (Suggests Bitcoin is overvalued based on historical trends).
---
#### **2️⃣ Pi Cycle Top Sell Condition (Cycle-Based)**
✅ **Pi Cycle Top Signal Triggers (`piCycleTop`)**
- `piCycleTop = ta.crossover(ma111, ma350x2)`
- **Overrides all other conditions and forces a sell signal**.
- Historically aligns with **major cycle tops in Bitcoin**.
---
### **📝 Summary of Buy & Sell Conditions**
📍 **A Buy (`▲`) is triggered when**:
- **Momentum-based buy conditions** (RSI, Stoch RSI, MFI, Volume, SMA) are met.
- **OR the price crosses below the 1400 SMA** (Separate buy signal).
📍 **A Sell (`▼`) is triggered when**:
- **Momentum-based sell conditions** (RSI, Stoch RSI, MFI, Volume, SMA, MVRV) are met.
- **OR the Pi Cycle Top is triggered** (Forces a sell).
🚀 **Your strategy now integrates both short-term momentum signals and long-term cycle analysis!** Let me know if you need refinements. 🎯
EMA y Parabolic SARMarkoni 2.0 - Scaramuzza
Este indicador combina cuatro medias móviles exponenciales (EMA) y el Parabolic SAR para ayudarte a identificar tendencias y posibles puntos de reversión en el mercado. Las EMAs proporcionan una visión clara de la tendencia a largo y corto plazo, mientras que el Parabolic SAR se utiliza para señalar posibles cambios en la dirección del precio.
Características:
EMA 200: Representa la tendencia a largo plazo. Cuando el precio está por encima de esta EMA, se considera una tendencia alcista, y cuando está por debajo, una tendencia bajista.
EMA 50: Indicador de la tendencia intermedia. Ayuda a filtrar las señales de corto plazo y da un panorama más claro de la dirección del mercado.
EMA 8 y EMA 21: Son EMAs más cortas que se utilizan para identificar movimientos rápidos y cambios en el mercado. Las cruces entre estas dos EMAs son señales clave de entrada y salida.
Parabolic SAR: Señala posibles puntos de reversión en la tendencia, ayudando a identificar cuándo el precio podría cambiar de dirección, basado en un sistema de puntos que aparecen por encima o debajo del precio.
¿Cómo utilizarlo?
Tendencia alcista: Cuando el precio está por encima de las EMAs más largas (200 y 50), y la EMA 8 está por encima de la EMA 21, se considera que el mercado está en una tendencia alcista.
Tendencia bajista: Cuando el precio está por debajo de las EMAs más largas, y la EMA 8 está por debajo de la EMA 21, el mercado está en una tendencia bajista.
Señales de reversión: El Parabolic SAR marca puntos de reversión. Si los puntos están por debajo del precio, podría indicar una reversión alcista, y si están por encima, una reversión bajista.
Este indicador es útil para traders que buscan seguir la tendencia y capturar puntos de entrada y salida basados en el análisis de varias EMAs y señales del Parabolic SAR.
Yet Another Dynamic RSIDreadblitz's Dynamic RSI 's fork with some extra flexibility (aka adjustable settings).
It's got the usual RSI, but it also has dynamic overbought and oversold bands that move with the price action, plus you can experiment with different moving averages (for smoothing) and even Bollinger Bands. The goal is to make those overbought/oversold signals a bit more responsive and adapt better to what the market's doing.
Double RSIthis double rsi is very easy to read. the zero line determines whether trend is bearish or bullish. look for cross up at the zero line and vice versa
TEMA OBOS Strategy PakunTEMA OBOS Strategy
Overview
This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering.
By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision.
This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts).
Strategy Objectives
Identify trend direction using TEMA
Use OBOS to filter out overbought/oversold conditions
Implement ATR-based dynamic risk management
Key Features
1. Trend Analysis Using TEMA
Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries.
ema4 acts as the primary trend filter.
2. Overbought/Oversold (OBOS) Filtering
Long Entry Condition: up > down (bullish trend confirmed)
Short Entry Condition: up < down (bearish trend confirmed)
Reduces unnecessary trades by filtering extreme market conditions.
3. ATR-Based Take Profit (TP) & Stop Loss (SL)
Adjustable ATR multiplier for TP/SL
Default settings:
TP = ATR × 5
SL = ATR × 2
Fully customizable risk parameters.
4. Customizable Parameters
TEMA Length (for trend calculation)
OBOS Length (for overbought/oversold detection)
Take Profit Multiplier
Stop Loss Multiplier
EMA Display (Enable/Disable TEMA lines)
Bar Color Change (Enable/Disable candle coloring)
Trading Rules
Long Entry (Buy Entry)
ema3 crosses above ema4 (Golden Cross)
OBOS indicator confirms up > down (bullish trend)
Execute a buy position
Short Entry (Sell Entry)
ema3 crosses below ema4 (Death Cross)
OBOS indicator confirms up < down (bearish trend)
Execute a sell position
Take Profit (TP)
Entry Price + (ATR × TP Multiplier) (Default: 5)
Stop Loss (SL)
Entry Price - (ATR × SL Multiplier) (Default: 2)
TP/SL settings are fully customizable to fine-tune risk management.
Risk Management Parameters
This strategy emphasizes proper position sizing and risk control to balance risk and return.
Trading Parameters & Considerations
Initial Account Balance: $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): 128
Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M
Total P&L：+1638.20USD
Max equity drawdown：694.78USD
Total trades：128
Profitable trades:44.53
Profit factor:1.45
These settings aim to protect capital while maintaining a balanced risk-reward approach.
Visual Support
TEMA Lines (Three EMAs)
Trend direction is indicated by color changes (Blue/Orange)
ema3 (short-term) and ema4 (long-term) crossover signals potential entries
OBOS Histogram
Green → Strong buying pressure
Red → Strong selling pressure
Blue → Possible trend reversal
Entry & Exit Markers
Blue Arrow → Long Entry Signal
Red Arrow → Short Entry Signal
Take Profit / Stop Loss levels displayed
Strategy Improvements & Uniqueness
This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management.
Enhanced Trend Identification with TEMA
Detects early trend reversals using ema3 & ema4 crossover
Reduces market noise for a smoother trend-following approach
Improved OBOS Filtering
Prevents excessive trading
Reduces unnecessary risk exposure
Dynamic Risk Management with ATR-Based TP/SL
Not a fixed value → TP/SL adjusts to market volatility
Fully customizable ATR multiplier settings
(Default: TP = ATR × 5, SL = ATR × 2)
Summary
The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators.
TEMA for trend identification
OBOS for noise reduction & overbought/oversold filtering
ATR-based TP/SL settings for dynamic risk management
Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.
Momentum Fusion Overview:
"Momentum Fusion " is a sophisticated, multi-faceted momentum indicator that integrates several complementary technical analysis tools—RSI, Stochastic RSI, Cyclic RSI (cRSI), VWAP, Cumulative Volume Delta (CVD), and pivot points—into a single, cohesive non-overlay display. This indicator is crafted to provide traders with a comprehensive view of momentum, trend strength, volume dynamics, and potential reversal points, all normalized to a 0-100 scale for easy interpretation. By fusing these elements, it offers a unique synergy that enhances decision-making across various trading styles, from scalping to swing trading.
Originality and Purpose:
Unlike standalone momentum indicators, "Momentum Fusion " combines traditional oscillators (RSI, Stochastic RSI) with advanced cyclic analysis (cRSI), volume-weighted metrics (VWAP, CVD), and pivot-based reversal detection into one unified tool. The purpose of this fusion is to bridge the gap between price-based momentum, volume-driven insights, and cyclic market behavior, offering traders a more complete picture than any single indicator could provide. The normalized VWAP and CVD add a layer of volume context to momentum signals, while the cRSI introduces a dynamic, cycle-adapted perspective. Customizable divergence detection, pivot points, and detailed signal plotting further distinguish this script, making it a versatile solution for identifying trade opportunities.
How It Works:
RSI and Stochastic RSI: The base RSI uses a user-defined length (default 14) to measure price momentum, while the Stochastic RSI (with adjustable K and D smoothing) refines this into a faster oscillator. A Combined RSI averages RSI and Stochastic RSI K for a balanced momentum signal.
Cyclic RSI (cRSI): This uses a dominant cycle length (default 20) and vibration/leveling parameters to adapt RSI to market cycles, smoothing noise and highlighting rhythmic price movements. Dynamic bands (upper/lower) are calculated based on cyclic memory, providing adaptive overbought/oversold zones.
Normalized VWAP: VWAP is calculated from HLC3 and normalized over a lookback period (default 50) to fit the 0-100 scale, enabling direct comparison with momentum indicators. Crossovers with RSI, Stochastic RSI, and cRSI trigger bullish/bearish signals.
Cumulative Volume Delta (CVD): CVD tracks the net difference between buying and selling volume using lower timeframe data (configurable precision). It’s normalized to 0-100 and can be displayed as a line or candlesticks, with flexible reset options (e.g., daily, session start).
Pivot Points and Divergence: Pivot highs/lows are identified using adjustable lookbacks, plotted optionally. Divergence detection (regular/hidden) compares Combined RSI with price action, flagging potential reversals.
Visualization: All components are plotted on a separate pane with overbought (70) and oversold (30) levels. Signals (buy/sell, VWAP crossovers) and labels (divergence, pivots) are customizable for clarity.
How to Use It:
Momentum Trading: Monitor RSI, Stochastic RSI K/D, and Combined RSI for overbought (>70) or oversold (<30) conditions. Use buy/sell signals (green/red triangles) at pivot lows/highs for entry/exit points.
Cycle Analysis: Leverage cRSI and its dynamic bands to identify momentum shifts within market cycles. Crossings above the upper band or below the lower band signal potential reversals.
Volume Confirmation: Enable VWAP and CVD to confirm momentum with volume trends. VWAP bullish signals (green triangles) suggest buying pressure, while bearish signals (red triangles) indicate selling pressure. CVD rising above zero supports bullish moves; falling below zero supports bearish moves.
Divergence Trading: Activate divergence detection ("Regular," "Hidden," or "Both") to spot price-momentum disconnects. Regular bullish (R Bull) or bearish (R Bear) divergences signal reversals; hidden ones (H Bull, H Bear) suggest continuation.
Customization: Adjust lengths (e.g., RSI, Stochastic RSI, cRSI), VWAP/CVD lookbacks, and reset options to match your timeframe and strategy. Toggle components (e.g., VWAP, CVD, pivots) to focus on relevant signals.
Underlying Concepts:
The indicator blends momentum (RSI, Stochastic RSI), cyclic theory (cRSI), and volume analysis (VWAP, CVD) into a unified framework:
Momentum: RSI and Stochastic RSI capture short-term price velocity, with Combined RSI smoothing for reliability.
Cycles: cRSI adapts to market rhythm using a dominant cycle length, reducing lag and noise with torque and phasing adjustments.
Volume: VWAP reflects the average price weighted by volume, normalized for comparison; CVD measures buying/selling pressure, revealing hidden market dynamics.
Pivots/Divergence: These identify structural shifts, enhancing timing precision.
Practical Application:
Scalpers: Use short RSI/Stochastic RSI lengths (e.g., 7) and VWAP signals on lower timeframes (1-5 minutes) for quick entries/exits.
Day Traders: Focus on Combined RSI, cRSI bands, and CVD resets (e.g., session start) on 15-60 minute charts to trade intraday trends.
Swing Traders: Emphasize cRSI cycles, VWAP crossovers, and divergence on 4-hour or daily charts for multi-day setups.
Why It’s Unique:
This isn’t just a collection of indicators—it’s a fusion that normalizes disparate metrics into a 0-100 scale, enabling direct interplay between momentum, volume, and cycles. The customizable CVD precision, adaptive cRSI bands, and detailed signal labeling make it a practical, trader-centric tool for dissecting market behavior.
RSI Divergence_v1This indicator detects RSI Divergences (both regular and reverse) to identify potential reversals and trend continuations. It integrates ADX & DI for trend strength confirmation, MACD from the weekly timeframe for momentum validation, and ATR-based stop loss levels for risk management.
Have back tested with Nifty50 with Positive returns and Drawdown %. TIA.
Raj-ADRraj adr
ADR for past 5 Days
Upper Range = Day Open + Absolute value of ((5 days ago High - 5 days ago Low + 4 days ago High - 4 days ago Low + 3 days ago High - 3 days ago Low + 2 days ago High - 2 days ago Low + 1 day ago High - 1 day ago Low)/5)/2
Lower Range = Day Open - Absolute value of ((5 days ago High - 5 days ago Low + 4 days ago High - 4 days ago Low + 3 days ago High - 3 days ago Low + 2 days ago High - 2 days ago Low + 1 day ago High - 1 day ago Low)/5)/2
AntoQQE - BarsThis script is a variation on the QQE (Quantitative Qualitative Estimation) concept applied to RSI. It calculates a smoothed RSI line, then determines a “Dynamic Average Range” around that line. By tracking the RSI’s movement relative to these upper (shortBand) and lower (longBand) levels, it determines when price momentum shifts enough to suggest a possible trend flip. The script plots color-coded candles based on these momentum conditions:
• RSI Calculation and Smoothing
An RSI value is obtained over a specified period, then smoothed by an EMA. This smoothed RSI serves as the core measure of momentum.
• Dynamic Average Range (DAR)
The script computes the volatility of the smoothed RSI using two EMAs of its bar-to-bar movements. It multiplies this volatility factor by a QQE multiplier to create upper and lower bands that adapt to changes in RSI volatility.
• Trend Flips
When the smoothed RSI crosses above or below its previous band level (shortBand or longBand), the script interprets this as a shift in momentum and sets a trend state accordingly (long or short).
• Candle Coloring
Finally, the script colors each candle according to how far the smoothed RSI is from a neutral baseline of 50:
Candles turn green when the RSI is sufficiently above 50, suggesting bullish momentum.
Candles turn red when the RSI is sufficiently below 50, indicating bearish momentum.
Candles turn orange when they are near the 50 level, reflecting a more neutral or transitional phase.
Traders can use these colored candles to quickly see when the RSI’s momentum has moved into overbought/oversold zones—or is shifting between bullish and bearish conditions—without needing to consult a separate oscillator window. The adaptive nature of the band calculations can help in spotting significant shifts in market sentiment and volatility.
Strategy SuperTrend SDI WebhookThis Pine Script™ strategy is designed for automated trading in TradingView. It combines the SuperTrend indicator and Smoothed Directional Indicator (SDI) to generate buy and sell signals, with additional risk management features like stop loss, take profit, and trailing stop. The script also includes settings for leverage trading, equity-based position sizing, and webhook integration.
Key Features
1. Date-based Trade Execution
The strategy is active only between the start and end dates set by the user.
times ensures that trades occur only within this predefined time range.
2. Position Sizing and Leverage
Uses leverage trading to adjust position size dynamically based on initial equity.
The user can set leverage (leverage) and percentage of equity (usdprcnt).
The position size is calculated dynamically (initial_capital) based on account performance.
3. Take Profit, Stop Loss, and Trailing Stop
Take Profit (tp): Defines the target profit percentage.
Stop Loss (sl): Defines the maximum allowable loss per trade.
Trailing Stop (tr): Adjusts dynamically based on trade performance to lock in profits.
4. SuperTrend Indicator
SuperTrend (ta.supertrend) is used to determine the market trend.
If the price is above the SuperTrend line, it indicates an uptrend (bullish).
If the price is below the SuperTrend line, it signals a downtrend (bearish).
Plots visual indicators (green/red lines and circles) to show trend changes.
5. Smoothed Directional Indicator (SDI)
SDI helps to identify trend strength and momentum.
It calculates +DI (bullish strength) and -DI (bearish strength).
If +DI is higher than -DI, the market is considered bullish.
If -DI is higher than +DI, the market is considered bearish.
The background color changes based on the SDI signal.
6. Buy & Sell Conditions
Long Entry (Buy) Conditions:
SDI confirms an uptrend (+DI > -DI).
SuperTrend confirms an uptrend (price crosses above the SuperTrend line).
Short Entry (Sell) Conditions:
SDI confirms a downtrend (+DI < -DI).
SuperTrend confirms a downtrend (price crosses below the SuperTrend line).
Optionally, trades can be filtered using crossovers (occrs option).
7. Trade Execution and Exits
Market entries:
Long (strategy.entry("Long")) when conditions match.
Short (strategy.entry("Short")) when bearish conditions are met.
Trade exits:
Uses predefined take profit, stop loss, and trailing stop levels.
Positions are closed if the strategy is out of the valid time range.
Usage
Automated Trading Strategy:
Can be integrated with webhooks for automated execution on supported trading platforms.
Trend-Following Strategy:
Uses SuperTrend & SDI to identify trend direction and strength.
Risk-Managed Leverage Trading:
Supports position sizing, stop losses, and trailing stops.
Backtesting & Optimization:
Can be used for historical performance analysis before deploying live.
Conclusion
This strategy is suitable for traders who want to automate their trading using SuperTrend and SDI indicators. It incorporates risk management tools like stop loss, take profit, and trailing stop, making it adaptable for leverage trading. Traders can customize settings, conduct backtests, and integrate it with webhooks for real-time trade execution. 🚀
Important Note:
This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
ترکیب اندیکاتورها برای سیگنالهای پیشرفته//@version=5
indicator("ترکیب اندیکاتورها برای سیگنالهای پیشرفته", overlay=true)
// تنظیمات پارامترهای اندیکاتورها
fast_length = input.int(9, title="طول دوره MA سریع")
slow_length = input.int(21, title="طول دوره MA کند")
rsi_length = input.int(14, title="طول دوره RSI")
macd_fast_length = input.int(12, title="طول دوره MACD سریع")
macd_slow_length = input.int(26, title="طول دوره MACD کند")
macd_signal_length = input.int(9, title="طول دوره سیگنال MACD")
// محاسبه میانگینهای متحرک
fast_ma = ta.sma(close, fast_length)
slow_ma = ta.sma(close, slow_length)
// محاسبه RSI
rsi = ta.rsi(close, rsi_length)
// محاسبه MACD
= ta.macd(close, macd_fast_length, macd_slow_length, macd_signal_length)
// شرایط برای سیگنالها
buy_condition = (ta.crossover(fast_ma, slow_ma)) and (rsi < 30) and (macd_line > signal_line)
sell_condition = (ta.crossunder(fast_ma, slow_ma)) and (rsi > 70) and (macd_line < signal_line)
// نمایش سیگنالها روی نمودار
plotshape(series=buy_condition, title="سیگنال خرید", location=location.belowbar, color=color.green, style=shape.labelup, text="خرید")
plotshape(series=sell_condition, title="سیگنال فروش", location=location.abovebar, color=color.red, style=shape.labeldown, text="فروش")
// هشدارها برای سیگنالها
alertcondition(buy_condition, title="سیگنال خرید", message="سیگنال خرید ایجاد شد!")
alertcondition(sell_condition, title="سیگنال فروش", message="سیگنال فروش ایجاد شد!")
E9 RSI3M3 by Bressert (MFT)E9 RSI3M3 by W.Bressert (MFT) indicator is designed to identify cycle tops and bottoms using a dual-timeframe approach against Walter Bressert Cycle trading Theory.
This chart displayed combines the 15-minute chart and 60-minute RSI3M3 values to filter and confirm cycle reversals within the context of the broader trend also known as 'DeTrend'.
Key Functions:
RSI3M3 Calculation:
RSI Period: 3 periods.
Smoothing Period: 3-period Simple Moving Average (SMA).
Dual-Timeframe Analysis:
Primary Trend (60-minute): Determines the overall market trend.
Bullish Trend: RSI3M3 ≥ 0 (green background).
Bearish Trend: RSI3M3 < 0 (red background).
Cycle Timing (15-minute): Identifies cycle reversals within the broader trend.
Cycle Bottom: RSI3M3 < -20 (oversold) or < -40 (extreme oversold).
Cycle Top: RSI3M3 > 20 (overbought) or > 40 (extreme overbought).
Plotting:
Centered RSI3M3 Line: Plots the centered RSI3M3 values.
Key Levels:
Zero Line (0): Midline indicating no significant trend.
Overbought (20): Potential bearish opportunity.
Oversold (-20): Potential bullish opportunity.
High Overbought (40): Extreme overbought; potential for a pullback.
High Oversold (-40): Extreme oversold; potential for a rebound.
Bar Coloring:
Red Bars: RSI3M3 > 40 (high overbought).
Green Bars: RSI3M3 < -40 (high oversold).
Alerts:
Overbought Signal: RSI3M3 crosses above 20.
Oversold Signal: RSI3M3 crosses below -20.
High Overbought Signal: RSI3M3 above 40.
High Oversold Signal: RSI3M3 below -40.
Usage:
Primary Trend (60-minute):
Use the 60-minute RSI3M3 to determine the overall market trend.
Green Background: Indicates a bullish trend; consider long trades.
Red Background: Indicates a bearish trend; consider short trades.
Cycle Timing (15-minute):
Use the 15-minute RSI3M3 to identify potential cycle tops and bottoms.
Cycle Bottom: RSI3M3 < -20 (oversold) or < -40 (extreme oversold) within a bullish trend.
Cycle Top: RSI3M3 > 20 (overbought) or > 40 (extreme overbought) within a bearish trend.
Bar Coloring: Red bars signal high overbought conditions; green bars signal high oversold conditions.
Naveen %R (140)Naveen %R (140) is a custom momentum oscillator inspired by the Williams %R indicator, optimized for analyzing overbought and oversold conditions in volatile markets, such as altcoins on short timeframes like 5 minutes. Unlike the traditional Williams %R, it employs a 140-period lookback to capture longer-term price extremes, smoothing out noise for a clearer view of market momentum. The indicator ranges from 0 to -100, with custom thresholds set at -5 for overbought (red line) and -95 for oversold (green line), offering tighter boundaries to pinpoint significant reversals. Plotted in blue, Naveen %R (140) is ideal for traders seeking a robust tool to navigate fast-moving crypto markets with enhanced precision.
EMA and RSI StrategyUtilizing Openai I’ve created the TradingView Pine Script for the trading bot using the 50 EMA, 20 EMA, and RSI indicators. You can view and edit the code in the canvas. Let me know if you need any modifications!
OBV Quantum Edge🚀 OBV Quantum Edge - Advanced Volume Analysis Suite 🚀
Hey fellow traders! After months of testing and refinement, I'm thrilled to share my latest creation with the trading community.
📊 What Makes This Indicator Special:
1. Smart Signal Generation:
• Combines On-Balance Volume (OBV) with volume analysis
• Uses RSI for momentum confirmation
• Incorporates EMA trend filtering
• Real-time accuracy tracking
2. Clean & Clear Signals:
• Green arrows: Strong buy opportunities
• Red arrows: Potential sell setups
• No confusing overlays or cluttered charts
• Focus on quality signals over quantity
3. Built-in Safety Features:
• Volume threshold confirmation
• Trend direction validation
• Multiple timeframe compatibility
• Anti-false signal protection
🎯 Best Usage Practices:
• Most effective on 1H, 4H, and Daily timeframes
• Watch for signals that align with the market trend
• Use the accuracy tracker to validate performance
• Perfect for swing trading and position trading
• Great companion to your existing strategy
💡 Pro Tips:
• Stronger signals occur with higher volume confirmation
• Wait for price action confirmation before entry
• Use proper position sizing and risk management
• Great for both crypto and traditional markets
🔍 Technical Details:
• Advanced OBV calculations with MA smoothing
• Dynamic volume filtering
• Trend-following capabilities
• Real-time performance tracking
Remember: While this indicator provides high-quality signals, always combine it with proper risk management and your own analysis. No indicator is perfect, but this tool aims to give you an edge in your trading journey.
Wishing you profitable trades! 📈
Created with passion by Anmol-max-star
Last Updated: 2025-03-02 13:18:45 UTC
P.S. Don't forget to follow for updates and more trading tools! Your feedback and suggestions are always welcome. Happy Trading! 🌟
#VolumeTrading #TechnicalAnalysis #TradingStrategy #SmartTrading
