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.
M-oscillator
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.
MACD Ignored Candle SignalsGBI AND RBI WITH MACD CONFIRMATION
Gives buy and sell signals based on a simple candlestick pattern that co-aligns with the macd momentum. earliest signals based on the trend are usually the best entries
Finviro | TrendMaster SMARTمؤشر "Finviro | TrendMaster SMART" هو أداة تحليل فني متقدمة صممت لمساعدة المتداولين والمستثمرين على تحديد اتجاهات السوق بدقة وفعالية. يجمع المؤشر بين عدة تقنيات مثل مؤشر Supertrend لتحديد الاتجاهات، مؤشر PSAR لتحديد نقاط التحول المحتملة، ومتوسطات الحركة المتعددة لتقييم قوة الاتجاه وتوازن السوق. كما يتضمن خطوط دعم ومقاومة ديناميكية تساعد في التعرف على مستويات السعر الحاسمة، بالإضافة إلى إشارات دخول وخروج (شراء وبيع) تستند إلى تحليل دقيق لحركة السعر.
يساعد هذا المؤشر على تحسين توقيت قرارات التداول من خلال دمج إشارات متعددة تدعم التقييم الموضوعي للسوق، مما يعزز فرص تحقيق أرباح مستدامة وتقليل المخاطر. كما يحتوي المؤشر على لوحة معلومات تفاعلية تعرض اتجاهات متعددة الأطر الزمنية (من دقيقة حتى يومي) لتحليل أعمق وأشمل.
The "Finviro | TrendMaster SMART" indicator is an advanced technical analysis tool designed to assist traders and investors in accurately and effectively identifying market trends. The indicator integrates several techniques such as the Supertrend for trend direction, PSAR for potential reversal points, and multiple moving averages to assess trend strength and market balance. It also includes dynamic support and resistance lines to highlight key price levels, along with buy and sell signals based on precise price action analysis.
This indicator enhances trading timing decisions by combining multiple signals that support an objective market assessment, thereby increasing the chances of sustainable profits and risk reduction. Additionally, it features an interactive dashboard showing multi-timeframe trends (from minutes to daily), enabling deeper and comprehensive analysis.
OBV Osc (No Same-Bar Exit)//@version=5
strategy("OBV Osc (No Same-Bar Exit)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === JSON ALERT STRINGS ===
callBuyJSON = 'ANSHUL '
callExtJSON = 'ANSHUL '
putBuyJSON = 'ANSHUL '
putExtJSON = 'ANSHUL '
// === INPUTS ===
length = input.int(20, title="OBV EMA Length")
sl_pct = input.float(1.0, title="Stop Loss %", minval=0.1)
tp_pct = input.float(2.0, title="Take Profit %", minval=0.1)
trail_pct = input.float(0.5, title="Trailing Stop %", minval=0.1)
// === OBV OSCILLATOR CALC ===
src = close
obv = ta.cum(ta.change(src) > 0 ? volume : ta.change(src) < 0 ? -volume : 0)
obv_ema = ta.ema(obv, length)
obv_osc = obv - obv_ema
// === SIGNALS ===
longCondition = ta.crossover(obv_osc, 0) and strategy.position_size == 0
shortCondition = ta.crossunder(obv_osc, 0) and strategy.position_size == 0
// === RISK SETTINGS ===
longStop = close * (1 - sl_pct / 100)
longTarget = close * (1 + tp_pct / 100)
shortStop = close * (1 + sl_pct / 100)
shortTarget = close * (1 - tp_pct / 100)
trailPoints = close * trail_pct / 100
// === ENTRY BAR TRACKING TO PREVENT SAME-BAR EXIT ===
var int entryBar = na
// === STRATEGY ENTRY ===
if longCondition
strategy.entry("Long", strategy.long)
entryBar := bar_index
alert(callBuyJSON, alert.freq_all)
label.new(bar_index, low, text="BUY CALL", style=label.style_label_up, color=color.new(color.green, 85), textcolor=color.black)
if shortCondition
strategy.entry("Short", strategy.short)
entryBar := bar_index
alert(putBuyJSON, alert.freq_all)
label.new(bar_index, high, text="BUY PUT", style=label.style_label_down, color=color.new(color.red, 85), textcolor=color.black)
// === EXIT ONLY IF BAR_INDEX > entryBar (NO SAME-BAR EXIT) ===
canExitLong = strategy.position_size > 0 and bar_index > entryBar
canExitShort = strategy.position_size < 0 and bar_index > entryBar
if canExitLong
strategy.exit("Exit Long", from_entry="Long", stop=longStop, limit=longTarget, trail_points=trailPoints, trail_offset=trailPoints)
if canExitShort
strategy.exit("Exit Short", from_entry="Short", stop=shortStop, limit=shortTarget, trail_points=trailPoints, trail_offset=trailPoints)
// === TRACK ENTRY/EXIT FOR ALERTS ===
posNow = strategy.position_size
posPrev = nz(strategy.position_size )
longExit = posPrev == 1 and posNow == 0
shortExit = posPrev == -1 and posNow == 0
if longExit
alert(callExtJSON, alert.freq_all)
label.new(bar_index, high, text="EXIT CALL", style=label.style_label_down, color=color.new(color.blue, 85), textcolor=color.black)
if shortExit
alert(putExtJSON, alert.freq_all)
label.new(bar_index, low, text="EXIT PUT", style=label.style_label_up, color=color.new(color.orange, 85), textcolor=color.black)
// === PLOTS ===
plot(obv_osc, title="OBV Oscillator", color=obv_osc > 0 ? color.green : color.red, linewidth=2)
hline(0, color=color.gray)
Động Lượng V.1 [NMTUAN]New Trading Indicator "Dong Luong V.1 " Unveiled, Offering Deep Insight into Institutional Market Flows
A sophisticated new trading tool, the Dong Luong V.1 indicator, has been introduced by developer Nguyễn Minh Tuấn. This powerful indicator is engineered to measure the strength of significant capital movements within the market, providing traders with crucial alerts and early detection of the presence of "big money" players.
The primary function of the Dong Luong V.1 is to cut through market noise and reveal the underlying force of major financial flows. By visualizing the intensity of institutional capital, the indicator empowers traders to make more informed decisions, aligning their strategies with the market's most influential participants. It serves as both a warning system for potential volatility and a discovery tool for opportunities driven by substantial liquidity.
The strategic value of the Dong Luong m V.1 is significantly amplified when utilized in conjunction with the highly regarded All in one indicator series from the same developer. The synergy between these two tools creates a robust analytical framework. While the All in one indicator provides a comprehensive market overview, the Momentum V.1 offers a focused lens on the powerful undercurrents of institutional money, giving users a distinct and potent trading advantage.
For traders seeking to deepen their market analysis and gain an edge by understanding the actions of major financial players, the Dong Luong V.1 indicator presents a compelling new resource.
TOTrading Divergence HunterDivergence Hunter - Low timeframe scalper
It uses SFP, momentum and moneyflow divergence momentum divergences with ADX filter.
Recommended TP1 is at 0.4% (55% of starting positsion size), TP2 is at 0.9% (25% of starting positsion) and SL is at 0.8%
Script also has all working alerts and is ideal for using bot.
I'm using it with OKX signal bot and it's scalping great.
It's v1 version and still in development, but stats are looking great with good settings.
Try it out for free!
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator
What Is It?
The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis.
Scientific Foundation
The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets.
The indicator also borrows from Log-Periodic Power Law (LPPL).
Core Concepts
1. Entropy Deficit
The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness:
Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets
Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness
High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior
Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events
2. Multi-Scale Analysis
The indicator calculates entropy across different timeframes:
Short-term Entropy (blue line): Captures recent market behavior (20-day window)
Long-term Entropy (green line): Captures structural market behavior (120-day window)
Main Entropy (purple line): Primary measurement (60-day window)
3. Scale Ratio
This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations.
How It Works
Data Collection: The indicator samples price returns over specific lookback periods
Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution
Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy
Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure
Risk Assessment: Multiple factors are combined to generate a composite risk score and classification
Market Interpretation
Low Risk Environments (Risk Score < 25)
Market is functioning efficiently with reasonable randomness
Price discovery is likely effective
Normal trading and investment approaches appropriate
Medium Risk Environments (Risk Score 25-50)
Increasing correlation in price movements
Beginning of trend formation or momentum
Time to monitor positions more closely
High Risk Environments (Risk Score 50-75)
Strong herding behavior present
Market potentially becoming one-sided
Consider reducing position sizes or implementing hedges
Extreme Risk Environments (Risk Score > 75)
Highly ordered market behavior
Significant imbalance between buyers and sellers
Heightened probability of sharp reversals or corrections
Practical Application Examples
Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top
Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization
Range-Bound Markets: Typically display low and stable entropy deficit measurements
Trending Markets: Often show moderate entropy deficit that remains relatively consistent
Advantages Over Traditional Indicators
Forward-Looking: Identifies changing market structure before price action confirms it
Statistical Foundation: Based on robust mathematical principles rather than empirical patterns
Adaptability: Functions across different market regimes and asset classes
Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations
Limitations
Not a Timing Tool: Signals market risk conditions, not precise entry/exit points
Parameter Sensitivity: Results can vary based on the chosen parameters
Historical Context: Requires some historical perspective to interpret effectively
Complementary Tool: Works best alongside other analysis methods
Enjoy :)
Victor Osimhen Galatasaray⚽ Victor Osimhen Strategy – Ride the Momentum, Rule the Market!
Hello dear trader! 👋
We’re proud to introduce a strategy designed for crypto markets, built to be fast, smart, and resilient — just like its namesake:
📈 The Victor Osimhen Strategy ⚽
Much like the unstoppable striker himself, this strategy:
Kicks off early
Strikes at the right moment
Knows exactly when to exit the field
🧠 What Powers the Strategy?
Victor Osimhen is based on three proven elements:
WaveTrend – A powerful momentum signal for entry
Volatility Stop (VStop) – A trend direction filter
Advanced Trailing Stop – A smart exit that adapts to price action
With full Multi-Timeframe (MTF) support, it tracks the bigger picture while reacting to finer movements:
For example: While viewing the 4H chart, it listens to signals from the 2H timeframe, offering early and more accurate entries/exits.
🪙 Why Does It Work Better in Crypto?
✅ It’s built for the high volatility and 24/7 nature of crypto markets
✅ It reacts fast to momentum shifts
✅ It filters out noise using trend confirmation
✅ And it adapts dynamically with its advanced trailing exit logic
🎁 A Friendly Request
If this strategy brings you profits — and if you feel like sharing the joy —
we’d be truly happy if you considered donating a portion to Galatasaray Sports Club 💛❤️
(Of course, this is entirely voluntary and from the heart!)
🔒 Final Reminder
This strategy isn’t magic — but when used with discipline, patience, and risk control, it can be a game-changer.
Please test it in demo mode first, and only go live when you're ready.
🏁 Good Luck!
With the Victor Osimhen Strategy, you're now equipped to:
✅ Catch early momentum
✅ Stay aligned with the trend
✅ Protect your profits with style
Wishing you strong signals and solid trades!
ADX & Angle Strength📌 Indicator Overview – ADX Angle Strength
This script merges the power of the traditional ADX with a visual interpretation of the angular slope of a moving average, offering a highly effective tool to identify real impulses in price action. The goal of the indicator is not only to highlight market strength, but to reveal direction and slope —helping traders spot the end of impulses, consolidation zones, and potential reversal points.
This script does not aim to replace or compete with ADX, but instead highlights a lesser-used metric: the true angular slope of a moving average as a functional and interpretable force component. Rather than relying exclusively on traditional strength tools, it introduces an immediate, intuitive, and quantifiable way to observe trend steepness — reinforced by a robust metric like ADX.
The author considers both perspectives valuable. While ADX remains an integral part of their technical analysis, greater attention is often given to the angles formed by price-tracking moving averages, as they offer faster insight into trend acceleration. This dual-approach — with one reactive and one confirmatory signal — makes ADX & AngleStrength a practical, clear, and flexible tool for analyzing market momentum from two synchronized yet distinct vantage points.
Key user-configurable options:
- Display of ADX lines (DI+, DI−, zero line, lines 20, 25, 50, and 75)
- ADX length and smoothing
- Moving average type (SMA, EMA, WMA, HMA, ALMA)
- Length, source, color, and style of the angle calculation
- Minimum angle threshold to define color changes (slope comparison)
This indicator is highly sensitive and allows users to visualize:
- Range zones via flat angles (yellow)
- Bullish or bearish impulses through positive or negative slopes (green and red)
- Convergences or divergences relative to traditional ADX strength
📘 Single Real-World Example: Step-by-Step Interpretation
In this section, we’ll walk through a single real-world example on a 1-hour chart, divided into five key moments marked by vertical lines labeled A, B, C, D, and E. Each line identifies a specific point in the movement of price and indicator behavior. We’ll move through the chart step-by-step, explaining what happens between each line and how each indicator responds.
Before Line A: The setup
The chart shows a slight upward movement in the price, though not particularly strong. This section doesn’t have any lines marked yet but sets the foundation for what’s coming next.
The ADX is falling, dropping below the 20-level threshold, which usually signals weakening market momentum. However, the angle indicator, which is more sensitive, starts pointing upward, detecting an increase in slope as the price begins climbing.
This early upward tilt is what we call a rising angle, suggesting the market is gaining slope.
🅰 Line A: First peak
As the upward move completes, a peak forms right at Line A. The angle at that moment reaches +44.70°, showing a relatively strong upward slope.
After Line A:
- Price stalls, entering a sideways range — a classic consolidation.
- The angle indicator begins to fall, because price action no longer has a strong slope.
- The ADX, however, keeps rising, continuing even after the angle begins to decline. It reaches a peak at 35.6, then gradually drops to 15.13, reflecting that the trend’s strength has faded.
🅱 Line B: Sharp drop
Following the sideways range after Line A, the price breaks downward with a strong bearish candle.
This is where the second peak happens — but this time it's a negative angle, as price drops quickly. The angle reaches -48.45°, clearly marking the end of this quick bearish impulse.
At the same moment:
- The ADX, recovering from its earlier drop, reaches 21.83 and continues rising after the angle has peaked.
- This shows that while the angle detects the end of the move, the ADX is still registering the momentum that just occurred — a bit delayed, but confirming.
🅲 Line C: Key turning point
After the drop at Line B, price moves sideways again. During this range:
- The angle gradually declines and enters a yellow zone, indicating low slope or momentum.
But at Line C, everything changes. Unlike the other lines, Line C does not mark a peak, but rather the beginning of a stronger downward move.
From here:
- Price breaks through the range and continues falling — this marks the start of a stronger trend.
- The angle indicator shows a sequence of five descending peaks, tracking the steepening drop in price:
1. 26.47°
2. 40.64°
3. 35.87°
4. 38.71°
5. 66.3° (the steepest)
- The ADX starts rising in parallel, confirming the growing strength of the trend.
🅳 Line D: Bottom and reversal
At Line D, price reaches a bottom — a point of exhaustion marked by high volume, sometimes known as a volume climax or stopping volume.
- The angle reaches its steepest reading so far: 66.3° negative.
- The ADX keeps rising for two more candles after this angle peak, then begins to fall — revealing that the angle catches the momentum shift earlier.
🅴 Line E: Bullish reversal and final peak
After the low at Line D, price begins to rise steadily. The angle responds immediately, tilting upward again.
At Line E, we get the final peak, this time positive, as the bullish move reaches its climax. The angle here is +71.64° — the highest reading in the entire example.
Meanwhile:
- The ADX is still falling at this point, having peaked two candles after Line D and never recovering in time to catch this bullish push.
- Once again, the angle proves more responsive to changes in price behavior, especially at the end of impulses.
⚠️ Compatibility and Intended Use
This indicator is specifically designed to be used on Binance charts, as it is intended for the analysis of cryptocurrency markets, and Binance exclusively operates with crypto assets. It has been optimized for the following timeframes:
- 1 minute
- 5 minutes
- 15 minutes
- 30 minutes
- 1 hour
- 4 hours
- 1 day
These intervals were selected based on the internal architecture used for angle computation. As such, the indicator will not display any data outside of these supported timeframes or on non-Binance assets. Attempting to apply it beyond those conditions will produce a blank chart by design.
👤 Author
This indicator was developed as part of a visual technical analysis project focused on capturing true momentum through combined signals.
📄 User guide available in both Spanish and English for clarity and learning.
Breakout with ATR & Volume Filter🚀 Introducing Our New Breakout Strategy: Powerful Signals with ATR & Volume Filters
Designed specifically for the fast and volatile crypto markets, this breakout strategy delivers robust signals on Bitcoin’s 15-minute charts.
🌟 Key Features:
ATR filter ensures entries only during high volatility periods, reducing false signals.
Volume confirmation captures strong and reliable breakouts.
20-period support/resistance breakout levels identify early trend moves.
Scientifically optimized stop loss and take profit levels provide effective risk management.
Simple, clear, and effective — ideal for both beginners and professional traders.
🔥 Why Choose This Strategy?
It filters out market noise and focuses on genuine momentum moves, increasing your chances of success by leveraging real-time volatility and volume conditions.
📈 How to Use
Easily deploy on TradingView with customizable parameters. Perfect for traders who need quick, confident decisions in crypto markets.
Get closer to success in BTC trading with reliable signals and smart risk management!
BTC SmartMoney + SQZMOM + EMA + Cloud + Trailing Stop (v2.5)🚀 BTC 15-Minute Smart Strategy: SmartMoney + SQZMOM + EMA + Trailing Stop
Designed specifically for the fast-paced and volatile crypto market, this strategy is finely tuned to deliver maximum performance on Bitcoin’s 15-minute chart.
🌟 Key Features:
SmartMoney Concepts (SMC) based CHoCH signals to detect market structure shifts and capture early trend reversals.
SQZMOM (Squeeze Momentum Oscillator) to gauge strong volatility and momentum confluence.
50 & 200 EMA Cloud combining short-term and long-term trend filters for reliable market direction.
ATR-based and manually adjustable Trailing Stop for flexible and automated risk management.
Scientifically optimized Take Profit and Stop Loss levels to minimize losses and maximize gains.
Clear exit labels on chart for real-time trade tracking and decision making.
🔥 Why Choose This Strategy?
Provides fast and reliable signals on 15-minute timeframe, protecting you against sudden market moves.
Maximizes profits with trailing stops while keeping risks controlled.
Built on professional financial models, ideal for both beginners and experienced traders.
📈 How to Use
Easily deploy on TradingView with flexible parameters that adjust to your trading style. Automates entry and exit decisions based on real-time market conditions.
A powerful companion for traders who want a reliable yet aggressive approach to BTC trading on the 15-minute timeframe.
