WT-FLOW: MTF WaveTrend Trend-Follower📘 Strategy Introduction: WT-FLOW (WaveTrend Trend-Follower)
WT-FLOW is a multi-timeframe trend-following strategy specifically **optimized for the 15-minute timeframe** on the BTC/USDT trading pair. It is designed to help professional users follow buy/sell trends with high precision.
The strategy utilizes a three-tiered time alignment:
- **240min WaveTrend**: Macro trend filter (determines high-timeframe direction)
- **30min WaveTrend**: Momentum confirmation (validates trend continuation)
- **15min WaveTrend**: Signal generation (entries and exits are executed here)
It features an advanced **Trailing Stop** mechanism that includes maximum gain-based tracking logic and percentage-based fallback tolerance. Entry and exit points are marked on the chart with colored labels (🟢🔴❅❄), including bar index information.
⚙️ Technical Features:
- Compatible with Pine Script v5
- Backtestable via the `strategy()` block
- Supports both Long and Short position tracking
- Trailing Stop and Marginal Stop systems work in tandem
⚠️ Disclaimer:
This strategy is based on historical data. It should not be used in live markets without manual confirmation and appropriate risk management. Use is at your own risk.
M-oscillator
Price x Vol RSIAn enhanced RSI indicator that integrates the RSI of volume as a conviction amplifier.
This script modifies the RSI to range from −1 to +1, allowing it to express directional momentum. Volume RSI remains in the range of 0 to +1, serving as a direction-neutral amplifier.
The result is a bi-directional composite RSI that:
>> Emphasizes congruent signals (e.g., strong price direction with strong volume).
>> Minimizes misleading signals from high volume paired with neutral or conflicting price movement.
Ideal for identifying high-conviction breakouts and momentum divergences with volume support.
the plot fill increases in color when the plot approaches zero, then reverses away from zero, and resets on a zero-cross.
check out my other script, the PXVS, which is what this RSI script was based on. it uses similar logic as this script, but with FSTO %K instead of RSI
KT Gaussian Bands🎯 Overview
KT Gaussian Bands is an advanced technical indicator that uses Gaussian-weighted smoothing to create dynamic support and resistance bands. This sophisticated algorithm provides high-quality buy and sell signals by filtering market noise and adapting to price volatility.
🔬 How It Works
The indicator employs a Gaussian weighting function to smooth price data, creating more accurate trend detection compared to traditional moving averages. The algorithm calculates:
Dynamic Upper Band (Resistance Level)
Dynamic Lower Band (Support Level)
Adaptive Signal Generation based on price interaction with bands
📊 Key Features
✨ Smart Signal Generation
🔺 BUY Signal: When price crosses below the lower band and bounces back up
🔻 SELL Signal: When price crosses above the upper band and drops back down
Real-time arrows displayed directly on the chart
⚙️ Customizable Parameters
Bandwidth (h): Controls the smoothness of the calculation (Default: 8.0)
Multiplier: Adjusts the sensitivity of the bands (Default: 3.0)
Source: Choose your preferred price source (Default: Close)
Repainting Mode: Toggle between real-time and historical accuracy
🎨 Visual Elements
Color-coded bands (Teal for upper, Red for lower)
Clear arrow signals for entry/exit points
Clean dashboard showing current mode status
📈 Trading Applications
Best Timeframes
Works effectively on all timeframes
Particularly strong on 15M, 1H, and 4H charts
Daily charts for swing trading setups
Trading Strategies
Trend Following: Use signals in the direction of the major trend
Mean Reversion: Trade bounces off the bands in ranging markets
Breakout Confirmation: Validate breakouts with band penetration
Risk Management
Use stop-loss below/above the opposite band
Position size based on band width (wider = higher volatility)
Combine with other indicators for confirmation
⚠️ Important Notes
Repainting Mode
Enabled: Shows the most accurate current analysis (may change on live bars)
Disabled: Historical signals remain fixed (recommended for backtesting)
Best Practices
Don't trade every signal - wait for high-probability setups
Consider market context and overall trend direction
Use proper risk management on every trade
Backtest on your preferred timeframes before live trading
🔧 Settings Guide
Bandwidth (8.0): Lower = More responsive, Higher = Smoother
Multiplier (3.0): Lower = More signals, Higher = Fewer but stronger signals
Repainting: Enable for live analysis, Disable for backtesting
📊 Performance Characteristics
Low Lag: Responds quickly to price changes
Noise Reduction: Filters out false signals effectively
Adaptive: Automatically adjusts to market volatility
Versatile: Works across different market conditions
🎓 Educational Value
This indicator demonstrates advanced mathematical concepts in trading:
Gaussian distribution applications in finance
Dynamic volatility adjustment
Weighted moving average techniques
⭐ Why Choose KT Gaussian Bands?
Mathematically Sound: Based on proven statistical methods
User-Friendly: Clear signals with minimal complexity
Flexible: Adapts to your trading style and timeframe
Reliable: Consistent performance across market conditions
Disclaimer: This indicator is for educational and informational purposes only. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
Samil Dogru SmartTrailing v1.1📘 Samil Dogru SmartTrailing v1.1 – BTCUSDT Optimized Strategy (15-Minute)
Samil Dogru SmartTrailing v1.1 is an advanced trend-tracking and profit-locking strategy, specifically optimized for BTCUSDT on the 15-minute timeframe.
It integrates dynamic price following, intelligent trailing exit after trigger activation, and protective hard-stop loss logic to maximize profit while limiting downside risk.
⚙️ Core Strategy Logic:
Entry Signal: Based on a crossover of HMA100 and HMA200, filtered by the trend direction of HMA500 and HMA1000 (cloud logic).
Trigger Mechanism: When price moves a user-defined percentage (e.g., +1.2%) from the entry, the trailing logic is activated.
Smart Trailing Exit: Once triggered, the strategy tracks new highs (for long) or new lows (for short). A trailing stop is dynamically updated. If price pulls back by the defined margin (e.g., 0.8%), the position exits.
Hard Stop (Pre-Trigger): If price moves adversely by a defined percentage (e.g., 2.5%) before the trigger is hit, the position is forcefully exited to protect capital.
📊 Performance Note:
On BTCUSDT with 15-minute candles, historical testing has shown:
High directional accuracy
Optimized entry and exit timing
Improved profit retention with minimal user intervention
This setup is ideal for semi-automated swing scalping within structured trend conditions.
📎 User Controls:
All percentages are user-defined:
Trigger Threshold (%)
Trailing Margin (%)
Maximum Loss (%) before trigger
Trailing logic is active only after the trigger level is reached. One position at a time (pyramiding=0).
⚠️ Disclaimer:
This strategy is not financial advice. While historical performance is promising, future results are not guaranteed.
Always test in a simulated environment before deploying real capital. Use proper position sizing and risk management.
CM_VixFix_RSI_HMA200_TrailStop_vFinal📌 CM_VixFix_RSI_HMA200_TrailStop – vFinal | BTC 30-Minute Strategy (Long & Short)
This strategy combines volatility-based market shock detection (Williams Vix Fix), trend confirmation (HMA200), and momentum filtering (RSI) to generate high-probability trade entries. It is engineered for BTC/USDT on the 30-minute timeframe, with carefully tuned parameters through extensive backtesting.
🎯 Core Components:
WVF (Williams Vix Fix): Identifies volatility spikes, acting as a proxy for oversold conditions or panic drops.
RSI (Relative Strength Index): Generates directional momentum signals, with separate thresholds for long and short entries.
HMA200: Filters trades based on the prevailing market trend. Trades are only allowed in the direction of HMA slope and position.
ATR-Based Trailing Stop Engine: Activates after a minimum profit threshold is hit. Combines dynamic trailing logic with a Hard Stop (maximum loss limit) to mitigate risk.
⚠️ Short-Side Challenges & Solutions
During development, the short-side trades exhibited a lower win rate, a common behavior in crypto bull-biased markets. To address this, we implemented:
RSI trigger reduced to 20 to capture only high-momentum sell-offs.
Dual confirmation: RSI must also be below its EMA(21) and price below EMA(100).
MaxBars filter (10 candles): Prevents multiple short entries in tight ranges or low-volatility zones.
As a result:
Short trades now yield a Risk/Reward ratio above 3.4
Average short trade profit is ~3x the average loss, making short entries valuable despite lower hit rate.
📊 Performance Summary (Backtest: BTCUSDT, 30-Min, July 2024–July 2025)
Metric Long Short Overall
Total Trades 401 50 451
Win Rate 49.6% 30.0% 47.4%
Avg PnL 311 USDT 1,229 USDT 413 USDT
Risk/Reward (Avg K/L) 1.05 3.48 1.16
🚨 Disclaimer
This strategy is not a plug-and-play black box. While signals are statistically validated, we strongly recommend using this tool in conjunction with:
Volume and time-of-day filters
Fundamental/macro overlays (especially around Fed announcements or CPI data)
A broader risk management framework
Note: This strategy has been optimized exclusively for BTC/USDT on the 30-minute timeframe. If applied to other assets or timeframes, recalibration is necessary.
KumoFlow Pro v1.0📌 Strategy Description: KumoFlow Pro v1.0
KumoFlow Pro is a momentum strategy that fuses the classic Ichimoku system with modern volume-based confirmations: VWMA (Volume Weighted Moving Average) and CMF (Chaikin Money Flow). It focuses not only on trend direction but also on whether the move is supported by genuine volume, enabling trades only on high-conviction breakouts.
🔍 Key Components:
- 🔹 Ichimoku: Captures trend direction, momentum, and support/resistance zones.
- 🔸 VWMA: Adds weight to volume-backed price moves and filters out weak breakouts.
- 🔸 CMF: Confirms the presence of real capital flow in the trade direction.
- 🔁 Trailing Stop: Dynamic exit mechanism that locks in profit once the trade is in gain. It is % based and adapts to price behavior.
🎯 Purpose of This Setup:
- Capitalize on short-term volatility
- Catch early breakouts with volume confirmation
- Preserve profits with precision via trailing exit
⚙️ OPTIMIZED PARAMETERS (BTC / 30MIN CHART):
- Ichimoku Tenkan/Kijun: 5 / 15
- Senkou B: 30
- VWMA & CMF Length: 10
- Trailing Trigger: 1.5%
- Trailing Offset: 1.0%
⚠️ DISCLAIMER:
This setup is tuned for fast-paced environments and frequent entries. It may produce false signals in choppy conditions. Please test and validate on demo or historical charts before live use.
🔧 All parameters are fully user-adjustable from the input panel. You may customize it for different timeframes or assets.
Price x Vol StochasticAn enhanced Fast Stochastic (FSTO) indicator that integrates volume as a conviction amplifier.
This script modifies the price stochastic to range from −1 to +1, allowing it to express directional momentum. Volume stochastic remains in the range of 0 to +1, serving as a direction-neutral amplifier.
The result is a bi-directional composite stochastic that:
>> Emphasizes congruent signals (e.g., strong price direction with strong volume).
>> Minimizes misleading or incongruent signals from high volume paired with neutral or conflicting price movement.
Ideal for identifying high-conviction breakouts and momentum divergences with volume support.
EMAREVEX: Adaptive Multi-Timeframe Mean Reversion
📘 Strategy Overview: EMAREVEX
EMAREVEX (EMA Reversion Expert) is a professionally engineered mean-reversion strategy tailored for BTC/USDT, optimized specifically for the 15-minute and 30-minute timeframes.
It combines:
- Multi-timeframe EMA200 trend filtering (15m & 30m)
- Bollinger Band lower/upper breaches as reversion anchors
- RSI-based confirmation for oversold/overbought conditions
- A trailing stop-loss mechanism that activates only after volatility surpasses a configurable ATR threshold, then dynamically tracks price
This setup targets short-term pullback opportunities in volatile intraday environments.
🔬 Designed for quant-informed traders who seek precision entries and dynamic exit control.
⚠️ Warning:
This strategy is optimized on historical data. It should not be used without discretionary confirmation, appropriate risk management, and forward-testing under live market conditions.
Divergence IndicatorLook for green circles (bullish divergences) below bars and red circles (bearish divergences) above bars.
Set up alerts as needed using the "Bullish Divergence" or "Bearish Divergence" conditions.
ET super RSI v5_3Overview:
The ET Super RSI v5_3 is a specialized momentum oscillator that leverages a double-stochastic calculation framework, enhanced with exponential smoothing. Designed for traders seeking early signals and smoother momentum tracking, this indicator is particularly effective in filtering out short-term noise while maintaining responsiveness to market shifts.
How It Works:
Begins with a smoothed stochastic calculation of the close relative to the high-low range over a specified period (PDS).
Applies an additional stochastic process on the result, using a smoothed version of the original signal.
The final line (xTrigger) is an EMA of this double-smoothed stochastic value, offering a stable yet reactive momentum line.
Key Features:
Triple-layer smoothing using EMA for high signal clarity.
Customizable parameters for lookback periods and smoothing lengths.
Reference lines at 80 and 20 help identify overbought and oversold conditions.
A single-line plot simplifies interpretation while preserving analytical power.
Use Cases:
Detecting early momentum reversals.
Enhancing trend-following systems by filtering noise.
Confirming entries and exits in conjunction with other tools.
ET super RSI v6_3Overview:
The ET Super RSI v6_3 is a custom oscillator that builds on the traditional RSI by incorporating a double-smoothed version of the Stochastic Momentum Index (SMI). This approach enhances sensitivity to momentum shifts while reducing noise, making it a valuable tool for traders seeking early entries and exits with improved accuracy.
How It Works:
Calculates the high and low range over a user-defined period (Percent K Length).
Measures the relative distance of the current close from the midpoint of that range.
Applies a double exponential smoothing (Percent D Length) to both the price deviation and the range.
Produces a smoothed momentum value scaled between approximately -100 and +100.
Key Features:
Customizable smoothing and lookback parameters.
Clearly defined zero line and overbought reference (default at 40) for visual clarity.
Ideal for spotting momentum reversals and potential trend continuations.
Use Cases:
Momentum confirmation in trending markets.
Identifying overbought/oversold zones.
Supplementing entry/exit strategies in confluence with other indicators.
KT RSI-KDE Signal📊 Overview
The KT RSI-KDE Signal is an advanced technical analysis indicator that combines the traditional Relative Strength Index (RSI) with sophisticated Kernel Density Estimation (KDE) to identify high-probability reversal points. This innovative approach analyzes historical RSI pivot patterns to predict future price movements with enhanced accuracy.
🎯 Key Features
🔬 Kernel Density Estimation (KDE)
Statistical Analysis: Uses advanced mathematical modeling to analyze RSI pivot distributions
Pattern Recognition: Identifies recurring RSI levels where significant price reversals occurred
Probability Scoring: Calculates the likelihood of reversal based on historical data
📈 Smart Signal Generation
Bullish Arrows: Green arrows indicate high-probability buying opportunities
Bearish Arrows: Red arrows signal potential selling points
Adaptive Thresholds: Customizable sensitivity levels (High/Medium/Low)
🎛️ Highly Customizable
RSI Settings: Adjustable period and source
Pivot Detection: Configurable pivot lengths for different market conditions
KDE Parameters: Multiple kernel types (Gaussian, Uniform, Sigmoid)
Visual Options: Customizable colors, labels, and dashboard
🔧 How It Works
1. Data Collection
The indicator continuously monitors RSI values at pivot highs and lows, building a comprehensive database of reversal patterns.
2. KDE Analysis
Using advanced statistical methods, it creates probability density functions for both bullish and bearish RSI levels, identifying the most significant reversal zones.
3. Signal Generation
When current RSI enters a high-probability zone (based on historical patterns), the indicator generates visual signals with probability scores.
📋 Settings Guide
RSI Configuration
RSI Length: Default 14 periods (standard RSI setting)
Source: Price data to analyze (typically close price)
Pivot Settings
High/Low Pivot Length: Default 21 bars for pivot detection
Longer periods = fewer but more significant pivots
Shorter periods = more frequent but potentially less reliable signals
KDE Optimization
Activation Threshold:
High: More selective, fewer signals
Medium: Balanced approach (recommended)
Low: More signals, higher noise
Kernel Type: Mathematical function for probability calculation
Gaussian: Most common, based on normal distribution
Uniform: Equal weighting within bandwidth
Sigmoid: S-curve probability distribution
Bandwidth: Controls smoothness (default 2.71828 - Euler's number)
Number of Bins: Precision of calculation (default 100)
Visual Elements
Dashboard: Real-time RSI and probability display
RSI Labels: Show RSI values at signal points
KDE Labels: Display probability percentages
Custom Colors: Personalize appearance
💡 Trading Applications
Entry Signals
Bullish: Green arrow + high probability score = potential long entry
Bearish: Red arrow + high probability score = potential short entry
Confirmation Strategy
Combine with other indicators (support/resistance, volume, trend analysis)
Wait for price action confirmation before entering trades
Consider overall market conditions and timeframe
Risk Management
Use appropriate position sizing
Set stop-losses based on market volatility
Consider RSI divergences for additional confirmation
🎪 Unique Advantages
Statistical Edge: Uses historical data patterns for probability-based signals
Adaptive Learning: Continuously updates probability calculations with new data
Reduced False Signals: KDE filtering helps eliminate low-probability setups
Multi-Timeframe: Works effectively across different timeframes
Educational Value: Provides probability scores to help traders understand signal strength
⚠️ Important Notes
Not Financial Advice: This indicator is for educational and analysis purposes only
Backtesting Recommended: Test the strategy thoroughly before live trading
Market Conditions: Performance may vary in different market environments
Confirmation Required: Always combine with other analysis methods
🚀 Getting Started
Add to Chart: Apply the indicator to your preferred timeframe
Adjust Settings: Start with default settings, then customize based on your trading style
Observe Patterns: Watch how signals perform in different market conditions
Develop Strategy: Create rules for entry, exit, and risk management
Practice First: Use paper trading to validate your approach
📞 Support & Updates
This indicator represents advanced quantitative analysis applied to traditional technical indicators. Regular updates and improvements are made based on user feedback and market testing.
Disclaimer: Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
EMA PRO by smaEMA PRO by sma is a multi-factor adaptive trend indicator designed to enhance classic exponential moving averages (EMAs) by dynamically adjusting their sensitivity based on market conditions such as volatility, volume, momentum, and noise filtering.
This tool helps traders visualize trend direction, strength, and potential continuation zones, as well as optional signals and divergence alerts. It includes adaptive logic to provide a smoother, more reactive response to real-time market shifts.
Ideal for intraday and swing traders looking to integrate intelligent EMAs into their decision-making. It offers optional visual elements such as trend zones, buy/sell signals, divergence highlights, and alert conditions.
All calculations are internal and not visible in the public code.
ESPAÑOL:
EMA PRO by sma es un indicador de tendencia adaptativa que mejora las EMAs clásicas con lógica avanzada basada en volatilidad, volumen, momentum y filtros. Permite visualizar señales, zonas de continuación y alertas de divergencia, sin revelar el funcionamiento interno del algoritmo.
MACD Signal + Visual MACD Fill (Bands + Trigger Logic)1. 📊 MACD Signal Engine
Default mode: classic 12/26/9 on the 5-minute chart.
Triggers on MACD crossing zero (not MACD↔Signal) to reduce noise and only signal stronger momentum shifts.
Optional custom mode (e.g. 3/10/16): allows experiments with fast MACD profiles, where signal line crossing zero becomes your trigger.
Produces high/low bar labels with alert support.
2. 🎨 Visual MACD Engine + Band System
MA2 vs MA3 crossover fill gives directional confirmation as background shading.
MA1 midline + dual dynamic bands offer contextual range for price:
Inner Band: defines normal intraday range.
Outer Band: used as a potential trend day extension or take-profit zone.
MA4–MA6 are optional higher-timeframe filters to color structure and bias.
🧭 How to Use It
Use the band structure to build confluence zones:
Price returning to MA1 = base or neutral reset
Between inner bands = choppy/mean-reversion environment
Outer band tags = potential profit targets or early trend day diagnostics
Let the MACD signal confirm directional intent, and the visual MA2/MA3 crossover show you when the short-term aligns.
CryptOZ 4hr Divergence & Momentum Combo IndicatorCryptOZ 4hr Banger Entry with RSI Pivot Confirmation
This indicator uniquely combines Stochastic RSI momentum signals with classic RSI pivot-based bullish and bearish patterns to provide a more robust entry and exit system. The mashup enhances trading precision by blending oscillator momentum with price action pivots:
Stochastic RSI Signals: Identify momentum shifts with smoothed %K and %D lines for reliable early entry signals.
RSI Pivot Patterns: Detect regular and hidden bullish and bearish divergences using RSI pivot highs and lows, capturing potential reversals that pure momentum indicators may miss.
Multi-Timeframe Alerts: Alerts respect the selected timeframe, allowing traders to adapt signals across multiple chart periods.
Visual Clarity: Clear labeling and plotting of bullish signals at chart bottoms and bearish signals at tops improve readability and decision-making.
Filter and Confirmation: Optional RSI confirmation filter and multi-timeframe analysis reduce false signals, enhancing overall reliability.
By combining momentum and price action analysis in one tool, this script offers traders a comprehensive system to better time entries and exits in various market conditions. The synergy between stochastic momentum and RSI pivots adds unique value beyond standalone indicators.
Ai.Trade Breakout PRO+ (powered by SEPA Logic//BETA version)Ai.Trade Breakout PRO+ (powered by SEPA Logic)
A smart multi-signal indicator for breakouts, early entries, exits & trend shifts – inspired by SEPA logic
Description:
Ai.Trade Breakout PRO+ is an advanced multi-signal indicator built on the logic of the SEPA strategy. It combines precise breakout entries with early strength detection, smart exit signals (including ATR filters), and trend recovery flags. Ideal for traders aiming to follow price strength with discipline and clarity.
Features:
✅ Breakout signal above 50-day high + EMA200 filter
🟠 Early signal with RSI/volume/strong-close logic
⛔ Smart exit detection: EMA21 cross, Swing-Low + ATR, or entry breach
🔁 Trend recovery signal via EMA crossover after a downtrend
📈 EMA trendlines (10, 21, 50, 150, 200)
🔔 Built-in alerts for all signals
Recommended use:
Primarily use on the daily timeframe. Early signals may appear in 4h or 1h charts for anticipation, but official entries should always be confirmed on the daily chart.
Exit Recommendation:
Exit is triggered when...
- price closes below EMA21 (loss of trend)
- or breaks below last swing low (with ATR buffer)
- or drops below entry (with ATR buffer)
Tip: You may combine or filter these exit signals to suit your risk preference.
📊 Optional Add-on:
To further enhance trend clarity, the Ai.Trade Trendpanel (HH2/LL2) is available as a separate module. It visualizes trend structure (Higher Highs & Lower Lows) and helps filter high-probability entries.
⚠️ Beta Version: This version is released for public testing. Access may be changed to invite-only soon.
📈 Ideal for traders looking for a complete and structured breakout system.
Micropulse Crypto Reversal – 1 Minute📛 Micropulse Crypto Reversal – 1 Minute
📘 Strategy Description:
Micropulse Reversal is a specialized scalping strategy designed for 1-minute cryptocurrency charts such as BTC/USDT and ETH/USDT. It captures fast reversal opportunities with a scientifically guided combination of price action, volume dynamics, and volatility filtering.
🎯 Core Features:
Hybrid use of RSI, Bollinger Bands, Hull Moving Average, and OBV
Scoring system ensures only strong, high-confidence signals trigger trades
ATR filter blocks signals in low-volatility (choppy) conditions
Supports both long and short entries, with automatic position reversal logic
Optimized parameters are fixed and not user-editable (fully locked)
⚙️ Hardcoded Parameters:
RSI Length: 9, Oversold: 40, Overbought: 60
Bollinger Bands: 20 / 2.0
Hull MA: 13, OBV short/long: 3 / 8
ATR Filter: > 0.1% of price
Take Profit: +0.8%, Stop Loss: -0.6%
Minimum Signal Score to Enter: 4 / 5
📈 Ideal Use:
BTC, ETH, and other major crypto pairs with high volume
Timeframe: 1-minute
Fast-entry, fast-exit trades
Works well for bot integration, signal alerts, or manual scalping
⚠️ Risk Disclaimer:
This strategy is optimized for past data and short-term momentum conditions. Past performance does not guarantee future results.
Always validate on forward data and use proper risk management before live deployment.
Volatility Flow X – MACD + Ichimoku Hybrid Trail🌥️ Volatility Flow X – Hybrid Ichimoku Cloud Explained
This strategy combines Ichimoku’s cloud structure with real-time price position.
Unlike standard Ichimoku coloring, the cloud here reflects both trend direction and price behavior.
🔍 What the Cloud Colors Mean
🟢 Green Cloud
Senkou A > Senkou B
Price is above the cloud
→ Indicates strong uptrend; suitable for long entries
🔴 Red Cloud
Senkou A < Senkou B
Price is below the cloud
→ Indicates strong downtrend; suitable for short entries
⚪ Gray Cloud
Price contradicts trend, or price is inside the cloud
→ Represents indecision, low momentum; best to avoid entries
⚙️ Technical Features
Ichimoku Components: Tenkan-sen, Kijun-sen, Senkou Span A & B, Chikou Span
Cloud Transparency: 30%
MACD Filter: Optional momentum confirmation (customizable)
Trailing Stop: Optional dynamic trailing stop after trigger level
Directional Control: Long and short trailing rules can be set independently
📚 References
Ichimoku Charts – Nicole Elliott
Algorithmic Trading – Ernie Chan
TradingView Pine Script and hybrid trend models
⚠️ Disclaimer
This strategy is for educational and backtesting purposes only.
It is not financial advice. Always test thoroughly before applying to real trades.
Volatility Flow X | Dual Trend Strategy [VWMA+SMA+ADX]📌 Strategy Title
Volatility Flow X | Dual Trend Strategy
🧾 Description
🚀 Strategy Overview
Volatility Flow X is a dual-directional trading strategy that combines Volume-Weighted MA (VWMA) for momentum, Simple MA (SMA) for trend direction, ADX for trend strength filtering, and ATR-based volatility cloud for dynamic support/resistance zones.
It is designed specifically for high-volatility assets like BTC/USD on intraday timeframes such as 15 min, 30 min, and 1 hour — offering both breakout and trend-following opportunities.
🔬 Technical Components and Sources
1. VWMA (Volume-Weighted Moving Average)
Captures volume-weighted momentum shifts.
📚 Kirkpatrick & Dahlquist (2010) — “Technical Analysis”
2. SMA (Simple Moving Average)
Used as a baseline trend direction validator.
📚 Ernie Chan — “Algorithmic Trading” (2013)
3. ADX (Average Directional Index)
Filters out low-conviction signals based on trend strength.
📚 J. Welles Wilder (1978) — ADX in directional movement systems
4. ATR Cloud (Volatility Envelope)
Creates upper and lower dynamic bands using ATR to visualize trend pressure.
📚 Zunino et al. (2017) — Fractal volatility behavior in Bitcoin markets
🧠 Key Features
✅ 3 configurable Long signal modes
✅ 3 configurable Short signal modes
✅ Manually switchable signals for flexibility
✅ Auto-calculated TP/SL using ATR and risk/reward ratio
✅ ADX filter to avoid choppy trends
✅ Visual cloud overlay for support/resistance
✅ Suitable for scalping and short-term swing trading
⚙️ Recommended Settings (for BTC/USDT – 30min)
VWMA Length = 18
SMA Length = 50
ATR Length = 14, Multiplier = 2.5
Risk-Reward Ratio = 1.5
ADX Length = 14, Threshold = 18, Lookback = 4
⚠️ Disclaimer
This strategy is not financial advice. Please backtest and understand the risks before using it in live markets.
Chaikin Money Flow (CMF) [ParadoxAlgo]OVERVIEW
This indicator implements the Chaikin Money Flow oscillator as an overlay on the price chart, designed to help traders identify institutional money flow patterns. The Chaikin Money Flow combines price and volume data to measure the flow of money into and out of a security, making it particularly useful for detecting accumulation and distribution phases.
WHAT IS CHAIKIN MONEY FLOW?
Chaikin Money Flow was developed by Marc Chaikin and measures the amount of Money Flow Volume over a specific period. The indicator oscillates between +1 and -1, where:
Positive values indicate money flowing into the security (accumulation)
Negative values indicate money flowing out of the security (distribution)
Values near zero suggest equilibrium between buying and selling pressure
CALCULATION METHOD
Money Flow Multiplier = ((Close - Low) - (High - Close)) / (High - Low)
Money Flow Volume = Money Flow Multiplier × Volume
CMF = Sum of Money Flow Volume over N periods / Sum of Volume over N periods
KEY FEATURES
Big Money Detection:
Identifies significant institutional activity when CMF exceeds user-defined thresholds
Requires volume confirmation (volume above average) to validate signals
Uses battery icon (🔋) for institutional buying and lightning icon (⚡) for institutional selling
Visual Elements:
Background coloring based on money flow direction
Support and resistance levels calculated using Average True Range
Real-time dashboard showing current CMF value, volume strength, and signal status
Customizable Parameters:
CMF Period: Calculation period for the money flow (default: 20)
Signal Smoothing: EMA smoothing applied to reduce noise (default: 5)
Big Money Threshold: CMF level required to trigger institutional signals (default: 0.15)
Volume Threshold: Volume multiplier required for signal confirmation (default: 1.5x)
INTERPRETATION
Signal Types:
🔋 (Battery): Indicates strong institutional buying when CMF > threshold with high volume
⚡ (Lightning): Indicates strong institutional selling when CMF < -threshold with high volume
Background color: Green tint for positive money flow, red tint for negative money flow
Dashboard Information:
CMF Value: Current Chaikin Money Flow reading
Volume: Current volume as a multiple of 20-period average
Big Money: Status of institutional activity (BUYING/SELLING/QUIET)
Signal: Strength assessment (STRONG/MEDIUM/WEAK)
TRADING APPLICATIONS
Trend Confirmation: Use CMF direction to confirm price trends
Divergence Analysis: Look for divergences between price and money flow
Volume Validation: Confirm breakouts with corresponding money flow
Accumulation/Distribution: Identify phases of institutional activity
PARAMETER RECOMMENDATIONS
Day Trading: CMF Period 14-21, higher sensitivity settings
Swing Trading: CMF Period 20-30, moderate sensitivity
Position Trading: CMF Period 30-50, lower sensitivity for major trends
ALERTS
Optional alert system notifies users when:
Big money buying is detected (CMF above threshold with volume confirmation)
Big money selling is detected (CMF below negative threshold with volume confirmation)
LIMITATIONS
May generate false signals in low-volume conditions
Best used in conjunction with other technical analysis tools
Effectiveness varies across different market conditions and timeframes
EDUCATIONAL PURPOSE
This open-source indicator is provided for educational purposes to help traders understand money flow analysis. It demonstrates the practical application of the Chaikin Money Flow concept with visual enhancements for easier interpretation.
TECHNICAL SPECIFICATIONS
Overlay indicator (displays on price chart)
No repainting - all calculations are based on closed bar data
Suitable for all timeframes and asset classes
Minimal resource usage for optimal performance
DISCLAIMER
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and consider risk management before making trading decisions.
