Estrategia Cava - IndicadorSimplified Criteria of the Cava Strategy
Below is the logic behind the Cava strategy, broken down into conditions for a buy operation:
Variables and Necessary Data
EMA 55: 55-period Exponential Moving Average.
MACD: Two lines (MACD Line and Signal Line) and the histogram.
RSI: Relative Strength Index.
Stochastic: Two lines (%K and %D).
Closing Price: The closing price of the current period.
Previous Closing Price: The closing price of the previous period.
Entry Logic (Buy Operation)
Trend Condition (EMA 55):
The price must be above the EMA 55.
The EMA 55 must have a positive slope (or at least not a negative one). This can be checked if the current EMA 55 is greater than the previous period's EMA 55.
Momentum Conditions (Oscillators):
MACD: The MACD line must have crossed above the signal line. For a strong signal, this cross should occur near or above the zero line.
RSI: The RSI must have exited the "oversold" zone (generally below 30) and be rising.
Stochastic: The Stochastic must have crossed upwards from the "oversold" zone (generally below 20).
Confirmation Condition (Price):
The current closing price must be higher than the previous closing price. This confirms the strength of the signal.
Position Management (Exit)
Take Profit: An exit can be programmed at a predetermined price target (e.g., the next resistance level) or when the momentum of the move begins to decrease.
Stop Loss: A stop loss should be placed below a significant support level or the entry point to limit losses in case the trade does not evolve as expected. The Cava strategy focuses on dynamic stop-loss management, moving it in the trader's favor as the price moves.
In summary, the strategy is a filtering system. If all conditions are met, the trade is considered high probability. If only some are met, the signal is discarded, and you wait for the next one. It's crucial to understand that discipline and risk management are just as important as the indicators themselves.
Поиск скриптов по запросу "entry"
Bar Statistics - DELTA/OI/TOTAL/BUY/SELL/LONGS/SHORTSBar Statistics - Advanced Volume & Open Interest Analysis
Overview
The Bar Statistics indicator is a comprehensive analytical tool designed to provide traders with detailed insights into market microstructure through advanced volume analysis, open interest tracking, and market flow detection. This indicator transforms complex market data into easily digestible visual information, displaying six key metrics in customizable colored boxes that update in real-time.
Unlike traditional volume indicators that only show basic volume data, this indicator combines multiple data sources to reveal the underlying forces driving price movement, including volume delta calculations from lower timeframes, open interest changes, and estimated market positioning.
What Makes This Indicator Unique
1. Multi-Timeframe Volume Delta Precision
The indicator utilizes lower timeframe data (default 1-second) to calculate highly accurate volume delta measurements, providing much more precise buy/sell pressure analysis than standard timeframe-based calculations. This approach captures intraday volume dynamics that are often missed by conventional indicators.
2. Real-Time Updates
Unlike many indicators that only update on bar completion, this tool provides live updates for the developing candle, allowing traders to see evolving market conditions as they happen.
3. Market Flow Analysis
The unique "L/S" (Long/Short) metric combines open interest changes with price/volume direction to estimate net market positioning, helping identify when participants are accumulating or distributing positions.
4. Adaptive Visual Intensity
The gradient color system automatically adjusts based on historical context, making it easy to identify when current values are significant relative to recent market activity.
5. Complete Customization
Every aspect of the display can be customized, from the order of metrics to individual color schemes, allowing traders to adapt the tool to their specific analysis needs.
6.All In One Solution
6 Metrics in one indicator no more using 5 different indicators.
Core Features Explained
DELTA (Volume Delta)
What it shows: Net difference between aggressive buy volume and aggressive sell volume
Calculation: Uses lower timeframe data to determine whether each trade was initiated by buyers or sellers
Interpretation:
Positive values indicate aggressive buying pressure
Negative values indicate aggressive selling pressure
Magnitude indicates the strength of directional pressure
OI Δ (Open Interest Change)
What it shows: Change in open interest from the previous bar
Data source: Fetches open interest data using the "_OI" symbol suffix
Interpretation:
Positive values indicate new positions entering the market
Negative values indicate positions being closed
Combined with price direction, reveals market participant behavior
L/S (Net Long/Short Bias)
What it shows: Estimated net change in long vs short market positions
Calculation method: Combines open interest changes with price/volume direction using configurable logic
Scenarios analyzed:
New Longs: Rising OI + Rising Price/Volume = Long position accumulation
Liquidated Longs: Falling OI + Falling Price/Volume = Long position exits
New Shorts: Rising OI + Falling Price/Volume = Short position accumulation
Covered Shorts: Falling OI + Rising Price/Volume = Short position exits
Result: Net bias toward long (positive) or short (negative) market sentiment
TOTAL (Total Volume)
What it shows: Standard volume for the current bar
Purpose: Provides context for other metrics and baseline activity measurement
Enhanced display: Uses gradient intensity based on recent volume history
BUY (Estimated Buy Volume)
What it shows: Estimated aggressive buy volume
Calculation: (Total Volume + Delta) / 2
Use case: Helps quantify the actual buying pressure in monetary/contract terms
SELL (Estimated Sell Volume)
What it shows: Estimated aggressive sell volume
Calculation: (Total Volume - Delta) / 2
Use case: Helps quantify the actual selling pressure in monetary/contract terms
Configuration Options
Timeframe Settings
Custom Timeframe Toggle: Enable/disable custom lower timeframe selection
Timeframe Selection: Choose the precision level for volume delta calculations
Auto-Selection Logic: Automatically selects optimal timeframe based on chart timeframe
Net Positions Calculation
Direction Method: Choose between Price-based or Volume Delta-based direction determination
Value Method: Select between Open Interest Change or Volume for position size calculations
Display Customization
Row Order: Completely customize which metrics appear and in what order (6 positions available)
Color Schemes: Individual color selection for positive/negative values of each metric
Gradient Intensity: Configurable lookback period (10-200 bars) for relative intensity calculations
Visual Elements
Box Format: Clean, professional box display with clear labels
Color Coding: Intuitive color schemes with customizable transparency gradients
Real-time Updates: Live updating for developing candles with historical stability
How to Use This Indicator
For Day Traders
Volume Confirmation: Use DELTA to confirm breakout validity - strong directional moves should show corresponding volume delta
Entry Timing: Watch for volume delta divergences at key levels to time entries
Exit Signals: Monitor when aggressive volume shifts against your position
For Swing Traders
Market Flow: Focus on the L/S metric to identify when participants are accumulating or distributing
Open Interest Analysis: Use OI Δ to confirm whether moves are backed by new money or position adjustments
Trend Validation: Combine multiple metrics to validate trend strength and sustainability
For Scalpers
Real-time Edge: Utilize the live updates to see developing imbalances before bar completion
Quick Decision Making: Focus on DELTA and BUY/SELL for immediate market pressure assessment
Volume Profile: Use TOTAL volume context for optimal entry/exit sizing
Setup Recommendations
Futures Markets: Enable OI tracking and use Volume Delta direction method
Crypto Markets: Focus on DELTA and volume metrics; OI may not be available
Stock Markets: Use Price direction method with volume value calculations
High-Frequency Analysis: Set lower timeframe to 1S for maximum precision
Technical Implementation
Data Accuracy
Utilizes TradingView's ta.requestVolumeDelta() function for precise buy/sell classification
Implements error checking for data availability
Handles missing data gracefully with fallback calculations
Performance Optimization
Efficient array management with configurable lookback periods
Smart box creation and deletion to prevent memory issues
Optimized real-time updates without historical data corruption
Compatibility
Works on all timeframes from seconds to daily
Compatible with futures, forex, crypto, and stock markets
Automatically adjusts calculation methods based on available data
Risk Disclaimers
This indicator is designed for educational and analytical purposes. It provides statistical analysis of market data but does not guarantee trading success. Users should:
Combine with other forms of analysis
Practice proper risk management
Understand that past performance doesn't predict future results
Be aware that volume delta and open interest data quality varies by market and data provider
Conclusion
The Bar Statistics indicator represents a significant advancement in retail trader access to professional-grade market analysis tools. By combining multiple data sources into a single, customizable display, it provides the depth of analysis needed for comprehensive market microstructure understanding while maintaining the simplicity required for effective decision-making.
Trades in FavorTrades in Favor Indicator
Overview
The Trades in Favor indicator is a volume-weighted momentum oscillator that helps traders identify market conditions favoring long or short positions. It analyzes the relationship between price movements and volume to determine whether buying or selling pressure is dominating the market.
How It Works
The indicator calculates the percentage of volume-weighted price movements that are bullish versus bearish over a specified lookback period. It outputs values between 0-100:
Values above 70: Short Trade Zone (bearish conditions)
Values below 30: Long Trade Zone (bullish conditions)
Values around 50: Neutral Zone (balanced conditions)
Key Features
Volume-Weighted Analysis: Incorporates volume data for more accurate momentum readings
Clear Trading Zones: Visual zones with labels for immediate context
Customizable Parameters: Adjustable calculation length and smoothing periods
Built-in Alerts: Notifications when entering different trading zones
Information Table: Real-time display of current readings and percentages
Parameters
Calculation Length (20): Number of bars for momentum calculation
Smoothing Period (5): Moving average smoothing for cleaner signals
Short Trade Zone (70): Upper threshold for short trade conditions
Long Trade Zone (30): Lower threshold for long trade conditions
Trading Applications
Trend Confirmation: Validate trend direction with volume-backed momentum
Entry Timing: Identify optimal entry points in respective trade zones
Market Sentiment: Gauge overall buying vs selling pressure
Risk Management: Avoid trades against dominant market flow
Visual Elements
White oscillator line with clear zone boundaries
Background coloring in extreme zones
On-chart labels for immediate context
Information table showing current percentages
Customizable alert conditions
Best Practices
Use in conjunction with other technical analysis tools
Consider multiple timeframes for confirmation
Pay attention to volume spikes in extreme zones
Watch for divergences between price and the indicator
Perfect for swing traders, day traders, and anyone looking to align their trades with volume-backed market momentum.
Gann Trading Strategy📈 Simple & Powerful Gann-Based Trading System
This indicator automatically calculates key Gann support and resistance levels based on W.D. Gann's mathematical principles. Simply input either the highest price (for bearish setups) or lowest price (for bullish setups), and the indicator automatically generates all trading levels.
🎯 Key Features:
Automatic Level Calculation - Just select High/Low price projection basis
Complete Trading Framework - Entry zone, 3 Take Profit levels, and Exit level
Visual Trading Zones - Color-coded zones around each level for better entry/exit timing
Smart Alerts - Get notified when price reaches key levels
Bullish & Bearish Setups - Works for both long and short trading strategies
Customizable Display - Show/hide levels, adjust colors, line styles, and zone widths
🚀 How to Use:
Select "Lowest Price" for bullish setup or "Highest Price" for bearish setup
Input the relevant high or low price from your analysis
The indicator automatically calculates and displays all trading levels
Use the green entry zone for entries, blue levels for take profits, red level for exits
📊 Perfect for:
Swing trading
Position sizing and risk management
Support/resistance analysis
Multi-timeframe analysis
Uses time-tested Gann principles to automatically find key price levels for trading.
RSI MA Cross + Divergence Signal (V2) Core Logic
RSI + Moving Average
The script calculates a standard RSI (default 14).
It then overlays a moving average (SMA/EMA/WMA, default 9).
When RSI crosses above its MA → bullish momentum.
When RSI crosses below its MA → bearish momentum.
Divergence Filter
Signals are only valid if there’s confirmed divergence:
Bullish divergence: Price makes a lower low, RSI makes a higher low.
Bearish divergence: Price makes a higher high, RSI makes a lower high.
Overbought / Oversold Filter
Optional extra:
Bullish signals only valid if RSI ≤ 30 (oversold).
Bearish signals only valid if RSI ≥ 70 (overbought).
This ensures signals happen in “stretched” conditions.
Risk & Trade Management
Entries taken only when all conditions align.
Exits can be managed with ATR stops, partial take-profits, breakeven moves, and trailing stops (we coded these in the strategy version).
Cooldown, session filters, and daily loss guard to keep risk tight.
🔹 Strengths
✅ High selectivity: Combining RSI cross + divergence + OB/OS means signals are rare but higher quality.
✅ Great at catching reversals: Divergence highlights where price may be running out of steam.
✅ Risk management baked in: ATR stops + partial exits smooth out equity curve.
✅ Works across markets: ES, FX, crypto — anywhere RSI divergences are respected.
✅ Flexible: You can loosen/tighten filters depending on aggressiveness.
🔹 Weaknesses
❌ Lag from pivots: Divergence only confirms after a few bars → you enter late sometimes.
❌ Choppy in ranges: In sideways markets, RSI divergences appear often and whipsaw.
❌ Filters reduce signals: With all filters ON (divergence + OB/OS + trend + session), signals can be very rare — may under-trade.
❌ Not standalone: Needs higher-timeframe context (trend, liquidity pools) to avoid counter-trend entries.
🔹 Best Ways to Trade It
Use Higher Timeframe Bias
Run the strategy on 15m/1H, but only trade in direction of higher timeframe trend (e.g., 4H EMA).
Example: If daily is bullish → only take bullish divergences.
Pair With Structure
Look for signals at key zones: HTF support/resistance, VWAP, or FVGs.
Divergence + RSI cross inside an FVG is a strong entry trigger.
Adjust OB/OS for Volatility
For crypto/FX: use 35/65 instead of 30/70 (markets trend harder).
For ES/S&P: 30/70 works fine.
Risk Management Is King
Use partial exits: take profit at 1R, trail rest.
Size by % of equity (we coded this into the strategy).
Avoid News Spikes
Divergences break down around CPI, NFP, Fed announcements — stay flat.
🔹 When It Shines
Trending markets that make extended pushes → clean divergences.
Reversal zones (oversold → bullish bounce, overbought → bearish fade).
Swing trading (15m–4H) — less noise than 1m/5m scalping.
🔹 When to Avoid
Low volatility chop → lots of false divergences.
During high-impact news → RSI swings wildly.
In strong one-way trends without pullbacks — divergence keeps calling tops/bottoms too early.
✅ Summary:
This is a reversal-focused RSI divergence strategy with strict filters. It’s powerful when combined with higher-timeframe bias + structure confluence, but weak if traded blindly in choppy or news-driven conditions. Best to treat it as a precision entry trigger, not a full system — layer it on top of your FVG/ORB framework for maximum edge.
EMA-RSI-ADX Trend Bands
📌 EMA-RSI-ADX Trend Bands (ERA Trend Bands)
🔥 Overview
The ERA Trend Bands indicator combines Exponential Moving Average (EMA), Relative Strength Index (RSI), and Average Directional Index (ADX) into a powerful multi-factor trend system.
It helps traders:
Identify trend direction (Bullish / Bearish)
Measure trend strength using EMA deviation bands
Confirm momentum with RSI & ADX filters
Visualize conditions with dynamic colors, labels, tables, and signals
⚡ Key Features
📍 EMA Trend Bands
EMA100 with gradient glow effect showing trend bias
Strength bands around EMA (Very Weak → Hyper levels)
Bands color-coded for bullish/bearish extremes
📊 RSI + ADX Confluence
Bullish Signal: RSI ≥ threshold & ADX ≥ threshold → 🟢
Bearish Signal: RSI ≤ threshold & ADX ≤ threshold → 🔴
Candles recolored when conditions are met
Auto-generated labels show live RSI/ADX values
🧩 Strength Levels
Classifies deviation from EMA into 8 levels:
Neutral → Very Weak → Weak → Moderate → Strong → Very Strong → Extreme → Hyper
Dashboard table shows deviation % ranges & strength colors
Dynamic labels display Trend, Strength, Deviation %, RSI & ADX
🎨 Visual Enhancements
Gradient EMA line with glow effect
Bullish (greens) & bearish (reds) vibrant palettes
Background coloring (optional) based on strength
Symbols & labels for entry confirmation
🎯 How to Use
Trend Direction – EMA color + deviation bands show whether market is bullish or bearish.
Strength Confirmation – Use strength labels & dashboard table to gauge overextension.
Entry Signals – Watch for RSI/ADX confluence (green/red labels on chart).
Exits – Monitor when strength fades back toward Neutral/Weak levels.
⚙️ Settings & Inputs
EMA Settings → Length, Line Width, Gradient Intensity
RSI Settings → Length & Thresholds (Bullish / Bearish)
ADX Settings → Length & Thresholds (Bullish / Bearish)
Bands → Enable/disable EMA deviation bands
Labels/Table → Toggle strength info display
Colors → Fully customizable vibrant palettes
🚨 Alerts & Signals
Bullish Condition → RSI & ADX above thresholds
Bearish Condition → RSI & ADX below thresholds
Visual confirmation with labels, candles, and background
⚠️ Disclaimer
This script is for educational purposes only.
It does not constitute financial advice.
Always backtest and use proper risk management before trading live.
✨ Add EMA-RSI-ADX Trend Bands (ERA Trend Bands) to your chart to trade with clarity, strength, and precision.
Ultimate📖 Indicator Description – Ultimate
The Ultimate Indicator is a complete charting framework that combines linear regression channels, dynamic deviation bands, EMA ribbons, volatility spreads, and entry/exit markers. It is designed to help traders visualize trend direction, potential reversals, and trade setups with precision.
🔹 What You See on the Chart
Channel Lines (Linear Regression Bands)
Green dotted line (median): Fair value trendline based on regression.
Red dashed line (upper band): Dynamic resistance zone.
Blue dashed line (lower band): Dynamic support zone.
Mid-bands (thin dotted red/blue): Halfway between median and outer bands, useful for scaling entries or partial exits.
🔹 EMA Ribbon (Light Green Shades)
Multiple EMAs (5, 8, 13, 21, 34) plotted in progressively lighter green.
Helps visualize momentum shifts and trend strength.
Ribbon turns more aqua/green when short-term EMAs align bullishly.
🙌Markers on Price
🔴 Red Circle (Dot): Short entry signal (price rejecting upper deviation band).
🔵 Blue Circle (Dot): Long entry signal (price bouncing off lower deviation band).
❌ Red X: Peak formation detected, potential short setup (not always valid).
🔷 Blue Diamond: Trough formation detected, potential long setup (not always valid).
Numbers Above/Below Candles
🔴Red numbers (above peaks): % spread from the bottom to the peak, showing upward volatility.
🔵 Blue numbers (below troughs): % spread from the top to the trough, showing downward volatility.
These values help traders gauge the strength of recent swings and compare volatility expansions.
🔹 Signal Logic🔹
🔵Long Signal (Blue Circle):
Forms when price makes a trough and crosses back above the lower regression band.
Confirms potential upside reversal with stop-loss guided by ATR or swing low.
🔴Short Signal (Red Circle):
Forms when price makes a peak and crosses below the upper regression band.
Confirms potential downside reversal with stop-loss guided by ATR or swing high.
❌ Peaks (Red X):
Indicate local tops. Not all peaks convert into shorts, but they warn of resistance zones.
🔹Troughs (Blue Diamonds):
Indicate local bottoms. Not all troughs convert into longs, but they warn of support zones.
🔹 Alerts
When a valid long or short setup is confirmed, an alert fires with:
Ticker name
Entry price
Suggested position size (Quantity)
Stop loss level (ATR-based or HL-based)
Take profit level (calculated by reward multiple)
🔹 Inputs & Customization
Quantity: Lot size suggestion.
Deviation: Multiplier for regression channel width.
Take Profit: Risk-to-reward multiplier.
Stop Loss: ATR or High/Low based.
Trend Lines: Choose between extended or fixed channels.
Period: Lookback window for regression.
Spread Percentages: Toggle volatility labels on/off.
🔹 How to Use
Trend Following: Ride price inside the channel using EMA ribbon alignment.
Reversal Trading: Enter at deviation extremes with confirmation signals.
Volatility Mapping: Use spread % labels to measure the strength of market swings.
Risk Management: ATR-based stops adapt to volatility, while HL stops give structural support/resistance.
✅ In summary:
The Ultimate Indicator is not just a regression channel—it’s a multi-layered system that highlights trend bias, entry/exit signals, volatility spreads, and adaptive risk levels. It allows traders to see at a glance whether the market is trending, ranging, or preparing for a reversal.
Harmonic Super GuppyHarmonic Super Guppy – Harmonic & Golden Ratio Trend Analysis Framework
Overview
Harmonic Super Guppy is a comprehensive trend analysis and visualization tool that evolves the classic Guppy Multiple Moving Average (GMMA) methodology, pioneered by Daryl Guppy to visualize the interaction between short-term trader behavior and long-term investor trends. into a harmonic and phase-based market framework. By combining harmonic weighting, golden ratio phasing, and multiple moving averages, it provides traders with a deep understanding of market structure, momentum, and trend alignment. Fast and slow line groups visually differentiate short-term trader activity from longer-term investor positioning, while adaptive fills and dynamic coloring clearly illustrate trend coherence, expansion, and contraction in real time.
Traditional GMMA focuses primarily on moving average convergence and divergence. Harmonic Super Guppy extends this concept, integrating frequency-aware harmonic analysis and golden ratio modulation, allowing traders to detect subtle cyclical forces and early trend shifts before conventional moving averages would react. This is particularly valuable for traders seeking to identify early trend continuation setups, preemptive breakout entries, and potential trend exhaustion zones. The indicator provides a multi-dimensional view, making it suitable for scalping, intraday trading, swing setups, and even longer-term position strategies.
The visual structure of Harmonic Super Guppy is intentionally designed to convey trend clarity without oversimplification. Fast lines reflect short-term trader sentiment, slow lines capture longer-term investor alignment, and fills highlight compression or expansion. The adaptive color coding emphasizes trend alignment: strong green for bullish alignment, strong red for bearish, and subtle gray tones for indecision. This allows traders to quickly gauge market conditions while preserving the granularity necessary for sophisticated analysis.
How It Works
Harmonic Super Guppy uses a combination of harmonic averaging, golden ratio phasing, and adaptive weighting to generate its signals.
Harmonic Weighting : Each moving average integrates three layers of harmonics:
Primary harmonic captures the dominant cyclical structure of the market.
Secondary harmonic introduces a complementary frequency for oscillatory nuance.
Tertiary harmonic smooths higher-frequency noise while retaining meaningful trend signals.
Golden Ratio Phase : Phases of each harmonic contribution are adjusted using the golden ratio (default φ = 1.618), ensuring alignment with natural market rhythms. This reduces lag and allows traders to detect trend shifts earlier than conventional moving averages.
Adaptive Trend Detection : Fast SMAs are compared against slow SMAs to identify structural trends:
UpTrend : Fast SMA exceeds slow SMA.
DownTrend : Fast SMA falls below slow SMA.
Frequency Scaling : The wave frequency setting allows traders to modulate responsiveness versus smoothing. Higher frequency emphasizes short-term moves, while lower frequency highlights structural trends. This enables adaptation across asset classes with different volatility characteristics.
Through this combination, Harmonic Super Guppy captures micro and macro market cycles, helping traders distinguish between transient noise and genuine trend development. The multi-harmonic approach amplifies meaningful price action while reducing false signals inherent in standard moving averages.
Interpretation
Harmonic Super Guppy provides a multi-dimensional perspective on market dynamics:
Trend Analysis : Alignment of fast and slow lines reveals trend direction and strength. Expanding harmonics indicate momentum building, while contraction signals weakening conditions or potential reversals.
Momentum & Volatility : Rapid expansion of fast lines versus slow lines reflects short-term bullish or bearish pressure. Compression often precedes breakout scenarios or volatility expansion. Traders can quickly gauge trend vigor and potential turning points.
Market Context : The indicator overlays harmonic and structural insights without dictating entry or exit points. It complements order blocks, liquidity zones, oscillators, and other technical frameworks, providing context for informed decision-making.
Phase Divergence Detection : Subtle divergence between harmonic layers (primary, secondary, tertiary) often signals early exhaustion in trends or hidden strength, offering preemptive insight into potential reversals or sustained continuation.
By observing both structural alignment and harmonic expansion/contraction, traders gain a clear sense of when markets are trending with conviction versus when conditions are consolidating or becoming unpredictable. This allows for proactive trade management, rather than reactive responses to lagging indicators.
Strategy Integration
Harmonic Super Guppy adapts to various trading methodologies with clear, actionable guidance.
Trend Following : Enter positions when fast and slow lines are aligned and harmonics are expanding. The broader the alignment, the stronger the confirmation of trend persistence. For example:
A fast line crossover above slow lines with expanding fills confirms momentum-driven continuation.
Traders can use harmonic amplitude as a filter to reduce entries against prevailing trends.
Breakout Trading : Periods of line compression indicate potential volatility expansion. When fast lines diverge from slow lines after compression, this often precedes breakouts. Traders can combine this visual cue with structural supports/resistances or order flow analysis to improve timing and precision.
Exhaustion and Reversals : Divergences between harmonic components, or contraction of fast lines relative to slow lines, highlight weakening trends. This can indicate liquidity exhaustion, trend fatigue, or corrective phases. For example:
A flattening fast line group above a rising slow line can hint at short-term overextension.
Traders may use these signals to tighten stops, take partial profits, or prepare for contrarian setups.
Multi-Timeframe Analysis : Overlay slow lines from higher timeframes on lower timeframe charts to filter noise and trade in alignment with larger market structures. For example:
A daily bullish alignment combined with a 15-minute breakout pattern increases probability of a successful intraday trade.
Conversely, a higher timeframe divergence can warn against taking counter-trend trades in lower timeframes.
Adaptive Trade Management : Harmonic expansion/contraction can guide dynamic risk management:
Stops may be adjusted according to slow line support/resistance or harmonic contraction zones.
Position sizing can be modulated based on harmonic amplitude and compression levels, optimizing risk-reward without rigid rules.
Technical Implementation Details
Harmonic Super Guppy is powered by a multi-layered harmonic and phase calculation engine:
Harmonic Processing : Primary, secondary, and tertiary harmonics are calculated per period to capture multiple market cycles simultaneously. This reduces noise and amplifies meaningful signals.
Golden Ratio Modulation : Phase adjustments based on φ = 1.618 align harmonic contributions with natural market rhythms, smoothing lag and improving predictive value.
Adaptive Trend Scaling : Fast line expansion reflects short-term momentum; slow lines provide structural trend context. Fills adapt dynamically based on alignment intensity and harmonic amplitude.
Multi-Factor Trend Analysis : Trend strength is determined by alignment of fast and slow lines over multiple bars, expansion/contraction of harmonic amplitudes, divergences between primary, secondary, and tertiary harmonics and phase synchronization with golden ratio cycles.
These computations allow the indicator to be highly responsive yet smooth, providing traders with actionable insights in real time without overloading visual complexity.
Optimal Application Parameters
Asset-Specific Guidance:
Forex Majors : Wave frequency 1.0–2.0, φ = 1.618–1.8
Large-Cap Equities : Wave frequency 0.8–1.5, φ = 1.5–1.618
Cryptocurrency : Wave frequency 1.2–3.0, φ = 1.618–2.0
Index Futures : Wave frequency 0.5–1.5, φ = 1.618
Timeframe Optimization:
Scalping (1–5min) : Emphasize fast lines, higher frequency for micro-move capture.
Day Trading (15min–1hr) : Balance fast/slow interactions for trend confirmation.
Swing Trading (4hr–Daily) : Focus on slow lines for structural guidance, fast lines for entry timing.
Position Trading (Daily–Weekly) : Slow lines dominate; harmonics highlight long-term cycles.
Performance Characteristics
High Effectiveness Conditions:
Clear separation between short-term and long-term trends.
Moderate-to-high volatility environments.
Assets with consistent volume and price rhythm.
Reduced Effectiveness:
Flat or extremely low volatility markets.
Erratic assets with frequent gaps or algorithmic dominance.
Ultra-short timeframes (<1min), where noise dominates.
Integration Guidelines
Signal Confirmation : Confirm alignment of fast and slow lines over multiple bars. Expansion of harmonic amplitude signals trend persistence.
Risk Management : Place stops beyond slow line support/resistance. Adjust sizing based on compression/expansion zones.
Advanced Feature Settings :
Frequency tuning for different volatility environments.
Phase analysis to track divergences across harmonics.
Use fills and amplitude patterns as a guide for dynamic trade management.
Multi-timeframe confirmation to filter noise and align with structural trends.
Disclaimer
Harmonic Super Guppy is a trend analysis and visualization tool, not a guaranteed profit system. Optimal performance requires proper wave frequency, golden ratio phase, and line visibility settings per asset and timeframe. Traders should combine the indicator with other technical frameworks and maintain disciplined risk management practices.
DCA Cost Basis (with Lump Sum)DCA Cost Basis (with Lump Sum) — Pine Script v6
This indicator simulates a Dollar Cost Averaging (DCA) plan directly on your chart. Pick a start date, choose how often to buy (daily/weekly/monthly), set the per-buy amount, optionally add a one-time lump sum on the first date, and visualize your evolving average cost as a VWAP-style line.
Features
Customizable DCA Plan — Set Start Date , buy Frequency (Daily / Weekly / Monthly), and Recurring Amount (in quote currency, e.g., USD).
Lump Sum Option — Add a one-time lump sum on the very first eligible date; recurring DCA continues automatically after that.
Cost Basis Line — Plots the live average price (Total Cost / Total Units) as a smooth, VWAP-style line for instant breakeven awareness.
Buy Markers — Optional triangles below bars to show when simulated buys occur.
Performance Metrics — Tracks:
Total Invested (quote)
Total Units (base)
Cost Basis (avg entry)
Current Value (mark-to-market)
CAGR (Annualized) from first buy to current bar
On-Chart Summary Table — Displays Start Date, Plan Type (Lump + DCA or DCA only), Total Invested, and CAGR (Annualized).
Data Window Integration — All key values also appear in the Data Window for deeper inspection.
Why use it?
Visualize long-term strategies for Bitcoin, crypto, or stocks.
See how a lump sum affects your average entry over time.
Gauge breakeven at a glance and evaluate historical performance.
Note: This tool is for educational/simulation purposes. Results are based on bar closes and do not represent live orders or fees.
The Maker StrategyDESCRIPTION
The Maker Strategy is a trend-following system built around exponential moving averages (EMAs). By analyzing the alignment of multiple EMAs, the strategy identifies strong bullish or bearish momentum and generates precise entry signals. This method is designed to capture sustained trends while filtering out sideways or noisy market conditions.
USER INPUTS :
• EMA 1 Length (Default: 30)
• EMA 2 Length (Default: 35)
• EMA 3 Length (Default: 40)
• EMA 4 Length (Default: 45)
• EMA 5 Length (Default: 50)
• EMA 6 Length (Default: 60)
LONG CONDITION :
A long signal is triggered when all EMAs are perfectly aligned in ascending order:
EMA1 > EMA2 > EMA3 > EMA4 > EMA5 > EMA6
SHORT CONDITION :
A short signal is triggered when all EMAs are perfectly aligned in descending order:
EMA1 < EMA2 < EMA3 < EMA4 < EMA5 < EMA6
WHY IT IS UNIQUE:
Unlike traditional EMA crossover systems that rely on just 2 or 3 moving averages, The Maker Strategy uses 6 EMAs in sequence. This ensures that trades are only taken when there is clear and strong market momentum. The approach minimizes false signals in ranging markets and focuses on capturing trends with higher probability setups.
HOW USER CAN BENEFIT FROM IT :
• Clear entry alerts for both long and short positions.
• Visual confirmation through candle coloring and EMA band fills.
• Works on multiple timeframes and instruments (stocks, forex, crypto, indices).
• Helps traders stay on the right side of the trend while avoiding whipsaws.
• A simple yet effective tool for those who want a disciplined, rules-based strategy.
Daily/Weekly Wick (Shadow) Range📈 Detailed Guide to the Daily/Weekly Wick (Shadow) Range Indicator
This indicator is a powerful visualization tool designed to map the key price levels established during the previous trading period (either the previous day or the previous week). Instead of just showing a single line for the high and low, it highlights the entire range of the upper and lower wicks (shadows), representing the "battleground" where buyers and sellers were most active.
How It Works
The Wick (Shadow) Range indicator fetches the Open, High, Low, and Close data from the last completed daily or weekly candle and projects those levels onto your current chart. This creates two distinct colored zones.
Upper Wick (Green Zone): This area spans from the Previous High down to the top of the Previous Candle's Body. It visually represents the territory where sellers successfully pushed the price down from its peak. This entire zone can be considered a resistance area.
Lower Wick (Red Zone): This area spans from the bottom of the Previous Candle's Body down to the Previous Low. It shows where buyers stepped in to defend a price level and push it back up. This entire zone can be considered a support area.
How to Use It in Your Trading
This indicator isn't meant to give direct buy or sell signals on its own. Instead, it provides crucial context about market structure. Here are several ways to incorporate it into your strategy:
1. Identifying Key Support & Resistance
This is the indicator's primary function. The most significant levels are:
Key Resistance: The top edge of the green zone (the previous period's high).
Key Support: The bottom edge of the red zone (the previous period's low).
Look for the current price to react when it approaches these boundaries. These are high-probability areas for price to pause or reverse.
2. Watching for Price Rejection (Reversal Trading)
The colored zones are perfect for spotting rejection signals.
Bearish Rejection 📉: If the current price enters the green zone but fails to stay there, closing back below it (often forming a new wick), it's a strong sign that sellers are still in control at that level. This can be an excellent entry signal for a short position.
Bullish Rejection 📈: If the current price dips into the red zone and is quickly bought back up, it shows that buyers are actively defending that area. This can be a great entry signal for a long position.
3. Confirming Breakouts (Trend Trading)
The zones also help validate breakouts.
Bullish Breakout: If the price pushes decisively through the entire green zone and closes above the previous high, it signals that the previous resistance has been broken and the trend may continue upward.
Bearish Breakdown: If the price falls decisively through the entire red zone and closes below the previous low, it confirms that support has failed and the price may continue downward.
4. Setting Context with Timeframes
Weekly Setting: Use the "Weekly" option to identify major, significant support and resistance levels that can influence the market for the entire week. These are powerful levels for swing trading.
Daily Setting: Use the "Daily" option for intraday trading. The previous day's high and low are critical pivot points that many day traders watch.
⚙️ Indicator Settings
The indicator has one simple setting, which you can access by clicking the gear icon ⚙️ next to its name on the chart.
Select Wick Timeframe: This dropdown menu allows you to switch the indicator's calculation between the Daily and Weekly timeframe instantly.
Dual-Frame Momentum OscillatorDual-Frame Momentum Oscillator (DFMO)
This is not just another oscillator. This is a confluence engine, built for the discerning trader who reads the story of price action and needs an objective tool to confirm the climax.
The Dual-Frame Momentum Oscillator was designed to solve a specific problem: how to differentiate a genuine, sustainable breakout from an exhaustive liquidity grab. It provides a visual confirmation for high-probability reversal and scalp setups by measuring momentum across two distinct time frames simultaneously.
This tool is for the trader who understands that indicators should not dictate trades, but rather confirm a well-defined thesis based on market structure, volume, and liquidity.
The Core Concept: Context Meets Trigger
The DFMO fuses a slow, methodical Stochastic with a hyper-sensitive RSI to give you a complete picture of momentum.
The Context (Slow Stochastic %K - default 40,4,4): This acts as your long-term momentum gauge. It tells you if the underlying trend is healthy or nearing exhaustion. A high reading suggests the market is overextended and vulnerable, while a low reading suggests the opposite.
The Trigger (Fast RSI - default 3): This is your immediate impulse reader. It measures the velocity and intensity of the current price thrust, making it incredibly sensitive to exhaustive moves, spikes, and bounces.
By themselves, they are useful. Together, they are formidable.
The Confluence Engine: Your Visual Edge
The true power of the DFMO lies in its "Confluence Engine." The indicator's background highlights in real-time when both oscillators are in agreement, visually flagging moments of maximum opportunity.
Bearish Confluence Zone (Red): The background turns red only when the Stochastic is overbought AND the RSI is overbought. This is your signal that the broader trend is exhausted and the current buying impulse has reached a climax. It is the ideal confirmation for a short entry following a liquidity sweep above a key high.
Bullish Confluence Zone (Green): The background turns green only when the Stochastic is oversold AND the RSI is oversold. This signals that the downtrend is tired and the immediate selling pressure is exhaustive, providing high-probability confirmation for a long entry at a key support level.
When these zones appear, the indicator is telling you that both the context and the trigger are aligned. This removes ambiguity and allows for decisive, confident execution.
Practical Application: The Liquidity Sweep
Imagine you're stalking a short on a futures contract like MCL or MES. You've marked the high of the day (HOD) as a key resistance level where liquidity is resting. You see a sharp, vertical impulse move that breaks the HOD, clearing out the stops.
Is this a real breakout, or is it a manipulation move—a classic liquidity grab?
You glance down at the DFMO. The moment price swept the high, the background flashed red. That's your objective confirmation. The slow Stoch was already overbought, and the fast RSI spiking confirmed the exhaustive, terminal nature of that price thrust. You now have the confidence to enter your short scalp, knowing you are aligned with the probable direction of the market's next move.
This is how you move from "feeling" the market to systematically executing a high-probability edge. This is how you aspire for greatness.
Add the Dual-Frame Momentum Oscillator to your toolkit and transform your ability to time entries with surgical precision.
Iani SMC Sniper XAU v2.2 (Long+Short + News Countdown, v6)Iani SMC Sniper v2.6 — Anytime • Auto Pip • FVG 50% • OB • News Panel
Smart-Money Concepts made simple for intraday XAU/USD (works on any symbol).
Finds BOS, 50% FVG “sniper” entries, optional Order Blocks, London H/L, news countdown, and a mini info panel.
What it does
BOS (Break of Structure): detects bullish/bearish BOS after London sweep logic.
FVG 50% entries: plots precise long/short entry dots at the midpoint of the gap.
Auto TP/SL: TP = RR × risk, SL below/above recent swing with a small buffer.
Order Blocks (optional): marks the last opposite candle after BOS and alerts on OB revisit.
London High/Low: tracks session range; session filter is optional.
News countdown: shows next event time and minutes left (user-selectable timezone).
Mini Panel: top-left table with Trend (last BOS), Next news, R:R, Pip size.
Inputs (key)
Auto pip size: uses syminfo.mintick. Manual override available.
Risk:Reward (RR): default 2.0.
Pivot length: swing sensitivity.
Sessions: enable if you want signals only 12:00–20:00 (symbol timezone). Off = anytime.
News timezone: pick your own (e.g., Europe/Brussels, America/New_York).
Absolute & daily times: add your events (strings like 2025-09-17 20:00 or 14:30,16:00…).
Show labels/levels/OBs: toggle on/off.
Alerts included
BOS Bullish / BOS Bearish
BUY Entry / SELL Entry (return to 50% FVG)
Bullish OB revisit / Bearish OB revisit
TP Long/Short reached, SL Long/Short hit
NEWS WARNING (warning window only; does not block signals)
To use: Add Alert → Condition: this indicator → choose any of the alertconditions.
Best use
Bias: H1 for structure.
Execution: M15 (standard) or M5 (aggressive).
Works great on XAUUSD, but is symbol-agnostic (auto pip adapts).
Notes
News times display in the timezone you pick in settings.
OBs are a simple implementation meant for quick visual guidance.
Labels: BUY/SELL near entries, TP/SL on set and when hit, BOS up/down.
Risk disclaimer
This tool is for education only. Not financial advice. Backtest and manage risk.
Iani SMC Sniper XAU v2.2 (Long+Short + News Countdown, v6)Iani SMC Sniper XAU (v2.2) — smart-money logic for XAUUSD.
This indicator hunts “sniper entries” using a simple SMC sequence:
Sweep → BOS → 50% FVG entry
• After London session builds its range, we wait for a liquidity sweep (price dips below London Low for longs / wicks above London High for shorts).
• A BOS confirms direction (close breaks the last swing).
• First FVG that prints after BOS gives the entry at 50% (mid-gap).
• SL anchored to the protective swing (with a small safety buffer). TP is plotted using your Risk:Reward.
News countdown (non-blocking):
The script does not auto-fetch news; you set daily times (e.g., 14:30, 16:00) and/or specific dates (“YYYY-MM-DD HH:MM”). A countdown label shows “NEWS in Xm”. Signals are not blocked—this is just a safety heads-up for prop-firm rules.
Inputs: pivot length, RR, pip size (XAU default 0.10), session filter (after London), news times (recurring & absolute), show/hide levels & labels.
Plots & labels: London High/Low (daily), Entry/SL/TP lines, BOS/Sweep/BUY/SELL markers, news badge.
Alerts: BOS Bull/Bear, BUY/SELL Entry touch, TP/SL hit, NEWS WARNING.
Notes:
• Designed for XAUUSD intraday; works on other symbols if you adjust pip size.
• Uses symbol timezone; adjust your news times for DST if needed.
• Indicator only—no orders, no backtest. Manage risk and execution in MT5/your platform.
Changelog (v2.2): Pine v6, robust time parsing, one-line logical expressions (fixed EOL errors), mirrored short logic, cleaner London H/L reset, countdown label.
Disclaimer: Educational tool, not financial advice. Past performance ≠ future results.
Tags: SMC, ICT, XAUUSD, Gold, Liquidity Sweep, BOS, FVG, London Session, News, Intraday, Scalping, DayTrading.
Measured Move Volume XIndicator Description
The "Measured Move Volume X" indicator, developed for TradingView using Pine Script version 6, projects potential price targets based on the measured move concept, where the magnitude of a prior price leg (Leg A) is used to forecast a subsequent move. It overlays translucent boxes on the chart to visualize bullish (green) or bearish (red) price projections, extending them to the right for a user-specified number of bars. The indicator integrates volume analysis (relative to a simple moving average), RSI for momentum, and VWAP for price-volume weighting, combining these into a confidence score to filter entry signals, displayed as triangles on breakouts. Horizontal key level lines (large, medium, small) are drawn at significant price points derived from the measured moves, with customizable thresholds, colors, and styles. Exhaustion hints, shown as orange labels near box extremes, indicate potential reversal points. Anomalous candles, marked with diamond shapes, are identified based on volume spikes and body-to-range ratios. Optional higher timeframe candle coloring enhances context. The indicator is fully customizable through input groups for lookback periods, transparency, and signal weights, making it adaptable to various assets and timeframes.
Adjustment Tips for Optimization
To optimize the "Measured Move Volume X" indicator for specific assets or timeframes, adjust the following input parameters:
Leg A Lookback (default: 14 bars): Increase to 20-30 for volatile markets (e.g., cryptocurrencies) to capture larger price swings; decrease to 5-10 for intraday charts (e.g., stocks) for faster signals.
Extend Box to the Right (default: 30 bars): Extend to 50+ for daily or weekly charts to project further targets; shorten to 10-20 for lower timeframes to reduce clutter.
Volume SMA Length (default: 20) and Relative Volume Threshold (default: 1.5): Lower the threshold to 1.2-1.3 for low-volume assets (e.g., commodities) to detect subtler spikes; raise to 2.0+ for high-volume equities to filter noise. Match SMA length to RSI length for consistency.
RSI Parameters (default: length 14, overbought 70, oversold 30): Set overbought to 80 and oversold to 20 in trending markets to reduce premature exit signals; shorten length to 7-10 for scalping.
Key Level Thresholds (default: large 10%, medium 5%, small 5%): Increase thresholds (e.g., large to 15%) for volatile assets to focus on significant moves; disable medium or small lines to declutter charts.
Confidence Score Weights (default: volume 0.5, VWAP 0.3, RSI 0.2): Increase volume weight (e.g., 0.7) for volume-driven markets like futures; emphasize RSI (e.g., 0.4) for momentum-focused strategies.
Anomaly Detection (default: volume multiplier 1.5, small body ratio 0.2, large body ratio 0.75): Adjust the volume multiplier higher for stricter anomaly detection in noisy markets; fine-tune body-to-range ratios based on asset-specific candle patterns.
Use TradingView’s replay feature to test adjustments on historical data, ensuring settings suit the chosen market and timeframe.
Tips for Using the Indicator
Interpreting Signals: Green upward triangles indicate bullish breakout entries when price exceeds the prior high with a confidence score ≥40; red downward triangles signal bearish breakouts. Use these to identify potential entry points aligned with the projected box targets.
Box Projections: Bullish boxes project upward targets (top of box) equal to the prior leg’s height added to the breakout price; bearish boxes project downward. Monitor price action near box edges for target completion or reversal.
Exhaustion Hints: Orange labels near box tops (bullish) or bottoms (bearish) suggest potential exhaustion when price deviates within the set percentage (default: 5%) and RSI or volume conditions are met. Use these as cues to watch for reversals.
Key Level Lines: Large, medium, and small lines mark significant price levels from box tops/bottoms. Use these as potential support/resistance zones, especially when drawn with high volume (colored differently).
Anomaly Candles: Orange diamonds highlight candles with unusual volume/body characteristics, indicating potential reversals or pauses. Combine with box levels for context.
Higher Timeframe Coloring: Enable to color bars based on higher timeframe candle closures (e.g., 1, 2, 5, or 15 minutes) for added trend context.
Customization: Toggle "Only Show Bullish Moves" to focus on bullish setups. Adjust transparency and line styles for visual clarity. Test settings to balance signal frequency and chart readability.
Inputs: Organized into groups (e.g., "Measured Move Settings") using input.int, input.float, input.color, and input.bool for user customization, with tooltips for clarity.
Calculations: Computes relative volume (ta.sma(volume, volLookback)), VWAP (ta.vwap(hlc3)), RSI (ta.rsi(close, rsiLength)), and prior leg extremes (ta.highest/lowest) using prior bar data ( ) to prevent repainting.
Boxes and Lines: Creates boxes (box.new) for bullish/bearish projections and lines (line.new) for key levels. The f_addLine function manages line arrays (array.new_line), capping at maxLinesCount to avoid clutter.
Confidence Score: Combines volume, VWAP distance, and RSI into a weighted score (confScore), filtering entries (≥40). Rounded for display.
Exhaustion Hints: Functions like f_plotBullExitHint assess price deviation, RSI, and volume decrease, using label.new for dynamic orange labels.
Entry Signals and Plots: plotshape displays triangles for breakouts; plot and hline show VWAP and RSI levels; request.security handles higher timeframe coloring.
Anomaly Detection: Identifies candles with small-body high-volume or large-body average-volume patterns via ratios, plotted as diamonds.
DZ/SZ - HFM by MamaRight-Empty Wick Zones (MTF) draws Supply/Demand zones from the remaining wick of adjacent opposite-color candles (Classic & Non-classic rules). Zones extend right only through empty space and stop at the first touching candle. Multi-TF scan (H1/H4/1D/1W/1M) with TF-colored boxes and labels showing Demand/Supply + H/L.
Demand (red → green, adjacent):
Classic: if the red candle’s lower wick is longer than the green’s → zone = (the “excess” red wick).
Non-classic: if the red’s lower wick is shorter or equal → zone = (use the longer green wick).
Supply (green → red, adjacent):
Classic: if the green candle’s upper wick is longer than the red’s → zone = (the “excess” green wick).
Non-classic: if the green’s upper wick is shorter or equal → zone = (use the longer red wick).
After a zone is created, the box extends right and terminates at the very first bar whose price range (body or wick) overlaps the zone → ensures the plotted area is genuinely right-empty.
What you see
Zone boxes with distinct colors per timeframe (e.g., H1/H4/1D/1W/1M).
Optional labels on each box: H4 Demand / H1 Supply, plus H/L prices of the zone.
Labels can sit at the left edge or follow the right edge of the box.
Inputs
Toggles: Demand Classic / Demand Non-classic / Supply Classic / Supply Non-classic.
Timeframes to scan: H1, H4, 1D, 1W, 1M.
Min zone thickness (price): minimum height of a zone (in price units).
Initial right extension (bars): initial box length; the script auto-cuts at the first touch.
Show labels / place labels at the right edge.
How to use (suggestion)
Use higher TF (e.g., 1D) for bias and lower TFs (H1/H4) for execution zones.
Keep only the rule set (Classic/Non-classic) that matches your playbook.
Treat zones as areas of interest—wait for your own confirmations (e.g., swing rejection, wick re-entry, structure shift, volume cues) and manage risk accordingly.
Notes
Because zones are sourced from higher TFs via request.security, the drawing can update intrabar; a zone is final once the source TF bar closes.
Min zone thickness uses price units (e.g., on XAUUSD, 1.00 ≈ $1).
This tool is an analytical aid, not financial advice or an entry/exit signal.
อินดิเคเตอร์ DZ/SZ - HFM by Mama ใช้หา Demand/Supply zone จาก “ไส้ที่เหลือ” ของ คู่แท่งสีตรงข้ามที่ติดกัน แล้ววาดเป็นกล่อง ยืดไปทางขวาเฉพาะช่วงที่ว่าง และ หยุดตรงแท่งแรกที่เข้ามาแตะโซน รองรับหลาย Timeframe (H1/H4/1D/1W/1M) พร้อมสีแยก TF และป้ายกำกับ Demand/Supply + H/L ของโซน
รายละเอียดการทำงาน (ไทย)
แนวคิดหลัก
Demand: เลือกคู่ แดง→เขียว ที่ “ติดกัน”
Classic: ถ้า ไส้ล่าง ของแท่งแดงยาวกว่าแท่งเขียว → โซน =
Non-classic: ถ้า ไส้ล่าง ของแท่งแดงสั้นกว่าหรือเท่าเขียว → โซน =
Supply: เลือกคู่ เขียว→แดง ที่ “ติดกัน”
Classic: ถ้า ไส้บน ของแท่งเขียวยาวกว่าแท่งแดง → โซน =
Non-classic: ถ้า ไส้บน ของแท่งเขียวสั้นกว่าหรือเท่าแดง → โซน =
เมื่อสร้างโซนแล้ว กล่องจะ ยืดทางขวา ไปเรื่อย ๆ และ หยุดทันทีเมื่อมีแท่งแรกที่ช่วงราคา (ไส้หรือตัวแท่ง) ทับซ้อนกับโซน ⇒ ได้ “พื้นที่ขวาว่าง” ตามโจทย์
สิ่งที่แสดงบนกราฟ
กล่องโซนสีตาม Timeframe (เช่น H1=ฟ้า, H4=เขียว, 1D=ส้ม, 1W=ม่วง, 1M=เทา)
Label ที่มุมกล่อง: H4 Demand / H1 Supply + ราคาของ High/Low ของโซน
(เลือกวาง ซ้าย หรือ ขอบขวา ของกล่องได้ในตั้งค่า)
ตัวเลือกสำคัญใน Settings
เปิด/ปิด: Demand Classic / Demand Non-classic / Supply Classic / Supply Non-classic
เลือก TF ที่จะสแกน: H1, H4, 1D, 1W, 1M
Min zone thickness (price): กำหนด “ความหนา” ขั้นต่ำของโซน (หน่วยเป็นราคา เช่น XAUUSD = ดอลลาร์)
Initial right extension (bars): ความยาวยืดเริ่มต้น (อินดี้จะตัดให้สั้นลงเองเมื่อมีแท่งมาแตะ)
แสดง Label บนโซน และ วาง Label ที่ขอบขวากล่อง
วิธีใช้แนะนำ
เลือก TF ที่ต้องการ (เช่น ให้ H1/H4 เป็นโซนเทรดละเอียด และ 1D ใช้กรองทิศ)
เปิดเฉพาะโหมด (Classic/Non-classic) ที่ตรงกับแนวคิดการเทรดของคุณ
ใช้โซนเป็นบริเวณ “สนใจ” แล้วรอพฤติกรรมราคา/สัญญาณยืนยันเสริม (เช่น สวิงกลับ, rejection wick, โวลลุ่ม, หรือโครงสร้างจบคลื่น)
หมายเหตุสำคัญ
อินดี้ใช้ข้อมูลข้าม TF; สัญญาณจาก TF สูง อาจเปลี่ยนระหว่างแท่งยังไม่ปิด (ลักษณะ intrabar update) โซนจะ “นิ่ง” เมื่อแท่งของ TF ต้นทาง ปิดแล้ว
หน่วยของ Min zone thickness เป็น หน่วยราคา ไม่ใช่ pips (XAUUSD: 1.00 = $1)
อินดี้ไม่ได้ให้สัญญาณเข้า–ออกอัตโนมัติ ควรใช้ร่วมกับแผนเทรดและการจัดการความเสี่ยง
Ravi AlgoBot📌 Indicator Description (Publish Notes)
Indicator Name:
EoR / EoS Entry & SL/Target Manager (Put=Red, Call=Green)
Purpose:
यह indicator उन traders के लिए बनाया गया है जो अपनी manual levels (EoR, EoR+1 for Put, और EoS, EoS-1 for Call) को chart पर plot करना चाहते हैं और उनके आधार पर Entry, Stop Loss और Target manage करना चाहते हैं।
How it works:
आप manual prices (EoR, EoR+1, EoS, EoS-1) input fields में डालेंगे।
Put levels (EoR, EoR+1) लाल रंग में दिखेंगे।
Call levels (EoS, EoS-1) हरे रंग में दिखेंगे।
हर price पर chart पर horizontal line + label बनेगा।
आप अपने Stop Loss और Target prices भी manual डाल सकते हैं (Call और Put दोनों के लिए अलग-अलग)।
जब भी price किसी entry/SL/Target level को touch करेगा:
Chart पर signal shape बनेगा (triangle)
एक alertcondition trigger होगा।
आप TradingView में Alerts create करके इन alerts को webhook URL से connect कर सकते हैं।
Example: जब EoR Put level touch हो → webhook के ज़रिए broker/bot में auto order लग जाएगा।
SL और Target levels भी इसी तरह alerts से manage होंगे।
Use Case:
Manual level-based intraday या positional trading
Automated trading setup (via TradingView alerts → Webhook → Broker API)
Put/Call entry, target, SL को clearly visualize और monitor करना
Disclaimer:
यह indicator trading automation tool नहीं है। Actual buy/sell orders Pine Script से नहीं लग सकते। Order execution केवल TradingView Alerts और external webhook के integration से ही possible है। कृपया पहले paper-trade और test करें।
Margin Cost Calculator Screener - Taylor V1.2# Leverage Position Cost Calculator & Stop Lose Cost Screener #
Designed to provide traders with crucial insights into their leveraged positions directly on the TradingView chart.
Key Features:
> Dynamic Display: Choose to view only the estimated entry cost, or a comprehensive overview including potential losses at specific stop-loss levels, and a custom remark.
> Contract Size Input: Easily specify the contract size for your trades.
> Leverage Level Input: Set your desired leverage level, with helpful tooltips explaining the margin requirements for various leverage ratios (e.g., 25x, 10x, 5x) and an included fee estimate.
> Cost Calculation: Accurately calculates the estimated entry cost for your position based on the current market price, contract size, and leverage.
> Stop-Loss Projections: It projects potential losses for stop-loss orders set at 3% and 5% below the entry price, helping you manage risk effectively.
> Clear Table Visualization: All calculated data is presented in a clean, organized table anchored to the bottom-left of your chart, making it easy to reference at a glance.
> Symbol Identification: Automatically displays the short ticker symbol for the asset you are analyzing.
This tool is invaluable for traders who utilize leverage and need a quick, visual way to understand their financial exposure and potential outcomes before entering or managing a trade.
Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration.
🔶 Advanced Channel Construction
Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones.
// Core Channel Calculation Framework
maType = input.string("EMA", title="Moving Average Type", options= )
// Short-Term Group Construction
stMA1 = ma(close, st1, maType)
stMA2 = ma(close, st2, maType)
// Long-Term Group Construction
ltMA1 = ma(close, lt1, maType)
ltMA2 = ma(close, lt2, maType)
// Smoothing Application
smoothedavg = ma(overallAvg, 10, maType)
🔶 Volatility-Adaptive Zone Framework
Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns.
// Dynamic Sentiment Adjustment
shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11
longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11
// Dual-Group Zone Optimization
overallAvg = (shortTermAvg + longTermAvg) / 2
allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22
🔶 Step-Like Boundary Evolution
Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing.
🔶 Comprehensive Signal Detection
Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing.
🔶 Enhanced Visual Architecture
Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation.
🔶 Intelligent Zone Management
Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions.
🔶 Multi-Dimensional Analysis Framework
Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy.
🔶 Advanced Alert Integration
Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations.
🔶 Performance Optimization
Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes.
This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.
Custom Trade Checklist by [YSFX]# Custom Trade Checklist: Your On-Chart Trading Co-Pilot
## Overview
Ever taken a trade based on impulse, only to realize you forgot a key step in your analysis? The Custom Trade Checklist is a simple yet powerful on-chart utility designed to help you remain disciplined and consistent with your trading strategy.
By externalizing your trading plan into a visible, interactive checklist, you can reduce emotional decision-making and systematically verify your criteria before entering or exiting a trade. This tool acts as your personal co-pilot, ensuring you follow your rules on every single trade.
## Key Features
✅ Fully Customizable Rules: Define up to 10 unique checklist items tailored to your specific trading strategy. Examples include "Market Structure Aligned?", "RSI Oversold?", "News Events Checked?", or "Risk/Reward > 2:1?".
⚪ Dynamic Status Tracking: Use a simple dropdown menu in the settings to mark each rule with intuitive symbols like:
✅ / ✓ - Completed / True
❌ / ✕ - Failed / False
🟡 - Pending / Caution
⚪ - Neutral / Not Checked
And many more for complete flexibility.
📋 Clean & Minimalist Display: The checklist is presented in a clean, unobtrusive table that can be positioned in any corner of your chart, ensuring it provides guidance without cluttering your analysis.
⚙️ Flexible Configuration:
Choose the maximum number of entries to display.
Optionally hide disabled checklist items to keep your view focused on what's active.
Customize the table title to match your strategy (e.g., "Pre-Trade Checklist", "Swing Trade Rules").
🎨 Complete Color Control: Personalize every aspect of the table's appearance. You can independently set the colors for the title, text, background, border, and each individual status symbol to perfectly match your chart's theme.
## How to Use
Add the Indicator to your chart.
Open the Settings Panel by clicking the gear icon (⚙️) on the indicator.
Define Your Rules:
Go through Entry 1 to Entry 10.
For each rule you want to use, check the box to enable it.
In the text field, write your rule (e.g., "Price above 200 EMA").
Update Your Status: Before placing a trade, go back into the settings and update the status dropdown for each rule based on your analysis.
Customize Appearance:
Under the "General" tab, change the table title and position.
Under the "Colors" tab, adjust the colors to your liking.
## Who Is This For?
This tool is perfect for:
Discretionary Traders who need to enforce a consistent set of rules.
New Traders looking to build good habits and internalize their trading plan.
Systematic Traders who want a final pre-flight check before executing a trade.
Anyone working on improving their trading psychology and reducing impulsive actions.
This indicator does not generate signals or trading advice; it is a utility to support the trader's own process and discipline. We hope it helps you achieve greater consistency in your trading journey!
Shadow Mimicry🎯 Shadow Mimicry - Institutional Money Flow Indicator
📈 FOLLOW THE SMART MONEY LIKE A SHADOW
Ever wondered when the big players are moving? Shadow Mimicry reveals institutional money flow in real-time, helping retail traders "shadow" the smart money movements that drive market trends.
🔥 WHY SHADOW MIMICRY IS DIFFERENT
Most indicators show you WHAT happened. Shadow Mimicry shows you WHO is acting.
Traditional indicators focus on price movements, but Shadow Mimicry goes deeper - it analyzes the relationship between price positioning and volume to detect when large institutional players are accumulating or distributing positions.
🎯 The Core Philosophy:
When price closes near highs with volume = Institutions buying
When price closes near lows with volume = Institutions selling
When neither occurs = Wait and observe
📊 POWERFUL FEATURES
✨ 3-Zone Visual System
🟢 BUY ZONE (+20 to +100): Institutional accumulation detected
⚫ NEUTRAL ZONE (-20 to +20): Market indecision, wait for clarity
🔴 SELL ZONE (-20 to -100): Institutional distribution detected
🎨 Crystal Clear Visualization
Background Colors: Instantly see market sentiment at a glance
Signal Triangles: Precise entry/exit points when zones are breached
Real-time Status Labels: "BUY ZONE" / "SELL ZONE" / "NEUTRAL"
Smooth, Non-Repainting Signals: No false hope from future data
🔔 Smart Alert System
Buy Signal: When indicator crosses above +20
Sell Signal: When indicator crosses below -20
Custom TradingView notifications keep you informed
🛠️ TECHNICAL SPECIFICATIONS
Algorithm Details:
Base Calculation: Modified Money Flow Index with enhanced volume weighting
Smoothing: EMA-based smoothing eliminates noise while preserving signals
Range: -100 to +100 for consistent scaling across all markets
Timeframe: Works on all timeframes from 1-minute to monthly
Optimized Parameters:
Period (5-50): Default 14 - Perfect balance of sensitivity and reliability
Smoothing (1-10): Default 3 - Reduces false signals while maintaining responsiveness
📚 COMPREHENSIVE TRADING GUIDE
🎯 Entry Strategies
🟢 LONG POSITIONS:
Wait for indicator to cross above +20 (green triangle appears)
Confirm with background turning green
Best entries: Early in uptrends or after pullbacks
Stop loss: Below recent swing low
🔴 SHORT POSITIONS:
Wait for indicator to cross below -20 (red triangle appears)
Confirm with background turning red
Best entries: Early in downtrends or after rallies
Stop loss: Above recent swing high
⚡ Exit Strategies
Profit Taking: When indicator reaches extreme levels (±80)
Stop Loss: When indicator crosses back to neutral zone
Trend Following: Hold positions while in favorable zone
🔄 Risk Management
Never trade against the prevailing trend
Use position sizing based on signal strength
Avoid trading during low volume periods
Wait for clear zone breaks, avoid boundary trades
🎪 MULTI-TIMEFRAME MASTERY
📈 Scalping (1m-5m):
Period: 7-10, Smoothing: 1-2
Quick reversals in Buy/Sell zones
High frequency, smaller targets
📊 Day Trading (15m-1h):
Period: 14 (default), Smoothing: 3
Swing high/low entries
Medium frequency, balanced risk/reward
📉 Swing Trading (4h-1D):
Period: 21-30, Smoothing: 5-7
Trend following approach
Lower frequency, larger targets
💡 PRO TIPS & ADVANCED TECHNIQUES
🔍 Market Context Analysis:
Bull Markets: Focus on buy signals, ignore weak sell signals
Bear Markets: Focus on sell signals, ignore weak buy signals
Sideways Markets: Trade both directions with tight stops
📈 Confirmation Techniques:
Volume Confirmation: Stronger signals occur with above-average volume
Price Action: Look for breaks of key support/resistance levels
Multiple Timeframes: Align signals across different timeframes
⚠️ Common Pitfalls to Avoid:
Don't chase signals in the middle of zones
Avoid trading during major news events
Don't ignore the overall market trend
Never risk more than 2% per trade
🏆 BACKTESTING RESULTS
Tested across 1000+ instruments over 5 years:
Win Rate: 68% on daily timeframe
Average Risk/Reward: 1:2.3
Best Performance: Trending markets (crypto, forex majors)
Drawdown: Maximum 12% during 2022 volatility
Note: Past performance doesn't guarantee future results. Always practice proper risk management.
🎓 LEARNING RESOURCES
📖 Recommended Study:
Books: "Market Wizards" for institutional thinking
Concepts: Volume Price Analysis (VPA)
Psychology: Understanding smart money vs. retail behavior
🔄 Practice Approach:
Demo First: Test on paper trading for 2 weeks
Small Size: Start with minimal position sizes
Journal: Track all trades and signal quality
Refine: Adjust parameters based on your trading style
⚠️ IMPORTANT DISCLAIMERS
🚨 RISK WARNING:
Trading involves substantial risk of loss
Past performance is not indicative of future results
This indicator is a tool, not a guarantee
Always use proper risk management
📋 TERMS OF USE:
For personal trading use only
Redistribution or modification prohibited
No warranty expressed or implied
User assumes all trading risks
💼 NOT FINANCIAL ADVICE:
This indicator is for educational and analytical purposes only. Always consult with qualified financial advisors and trade responsibly.
🛡️ COPYRIGHT & CONTACT
Created by: Luwan （IMTangYuan）
Copyright © 2025. All Rights Reserved.
Follow the shadows, trade with the smart money.
Version 1.0 | Pine Script v5 | Compatible with all TradingView accounts
Confluence Engine Confluence Engine is a practical, non-repainting decision aid that scores market conditions from −100…+100 by combining six proven modules: Trend, Momentum, Volatility, Volume, Structure, and an HTF confirmation. It’s designed for crypto, forex, indices, and stocks, and it fires entries only on confirmed bar closes.
What’s inside
Trend: EMA 20/50/200 alignment plus a Supertrend/KAMA toggle (you choose the baseline).
Momentum: RSI + MACD with confirmed-pivot divergence detection.
Volatility: ATR% and Bollinger Band width vs its average to favor expansion over chop.
Volume: OBV-style cumulative flow slope + volume surge vs SMA×multiplier.
Market Structure: Confirmed pivots, BOS (break of structure) and CHOCH (change of character).
HTF Filter: Closed higher-timeframe context via request.security(..., barmerge.gaps_on, barmerge.lookahead_off).
Why it does not repaint
Signals are computed and plotted on closed bars only.
Pivots/divergences use confirmed pivot points (no forward look).
HTF series are fetched with lookahead_off and use the last closed HTF bar in realtime.
No future bar references are used for entries or alerts.
How to use (3 steps)
Pick a timeframe pair: use a 4–6× HTF multiplier (5m→30m, 15m→1h, 1h→4h, 4h→1D, 1D→1W).
Trade with the HTF: take longs only when the HTF filter is bullish; shorts only when bearish.
Prefer expansion: act when BB width > its average and ATR% is elevated; skip most signals in compression.
Suggested presets (start here)
Crypto (BTC/ETH): 15m→1h, 1h→4h. stLen=10, stMult=3.0, bbLen=20, surgeMul=1.8–2.2, thresholds +40 / −40 (intraday can try +35 / −35).
Forex majors: 15m→1h, 1h→4h. stLen=10–14, stMult=2.5–3.0, surgeMul=1.5–1.8, thresholds +35 / −35 (swing: +45 / −45).
US equities (liquid): 5m→30m/1h, 15m→1h/2h. stMult=3.0–3.5, surgeMul=1.6–2.0, thresholds +45 / −45 to reduce chop.
Indices (ES/NQ): 5m→30m, 15m→1h. Defaults are fine; start at +40 / −40.
Gold/Oil: 15m→1h, 1h→4h. Thresholds +35 / −35, surgeMul=1.6–1.9.
Inputs (plain English)
Use Supertrend (off = KAMA): choose the trend baseline.
EMA Fast/Mid/Slow: 20/50/200 by default for classic stack.
RSI/MACD + divergence pivots: momentum and exhaustion context.
ATR Length & BB Length: volatility regime detection.
Volume SMA & Surge Multiplier: defines “meaningful” volume spikes.
Pivot left/right & “Confirm BOS/CHOCH on Close”: structure strictness.
Enable HTF & Higher Timeframe: confirms the lower timeframe direction.
Thresholds (+long / −short): when the score crosses these, you get signals.
Signals & alerts (IDs preserved)
Entry shapes plot at bar close when the score crosses thresholds.
Alerts you can enable:
CONFLUENCE LONG — long entry signal
CONFLUENCE SHORT — short entry signal
BULLISH BIAS — score turned positive
BEARISH BIAS — score turned negative
Best practices
Focus on signals with HTF agreement and volatility expansion; require volume participation (surge or rising OBV slope) for higher quality.
Raise thresholds (+45/−45 or +50/−50) to reduce whipsaws in choppy sessions.
Lower thresholds (+35/−35) only if you also require volatility/volume filters.
Performance & scope
Works across crypto/FX/equities/indices; no broker data or special feeds required.
No repainting by design; signals/alerts are computed on closed bars.
As with any tool, results vary by regime; always combine with risk management.
Disclosure
This script is for educational purposes only and is not financial advice. Trading involves risk. Test on historical data and paper trade before using live.
Auto Trend Channel with Fibonacci‼️ PLEASE USE WITH LOG CHART
🟠 Overview
This indicator introduces a novel approach to trend channel construction by implementing a touch-based validation system that ensures channels actually function as dynamic support and resistance levels. Unlike traditional linear regression channels that simply fit a mathematical line through price data, this indicator validates channel effectiveness by measuring how frequently price interacts with the boundaries, creating channels that traders can reliably use for entry and exit decisions.
🟠 Core Idea: Touch-Based Channel Validation
The fundamental problem with standard regression channels is that they often create mathematically correct but practically useless boundaries that price rarely respects. This indicator solves this by introducing a dual-scoring optimization system that evaluates each potential channel based on two critical factors:
Trend Correlation (70% weight): Measures how well prices follow the overall trend direction using Pearson correlation coefficient
Boundary Touch Frequency (30% weight): Counts actual instances where price highs touch the upper channel and lows touch the lower channel
This combination ensures the selected channel not only follows the trend but actively serves as support and resistance.
🟠 Trading Applications
Trend Following
Strong Uptrend: Price consistently bounces off lower channel and Fibonacci levels
Strong Downtrend: Price repeatedly fails at upper channel and Fibonacci resistance
Trend Weakening: Price fails to reach channel extremes or breaks through
Entry Strategies
Channel Bounce Entries: Enter long when price touches lower channel with confirmation; short at upper channel touches
Fibonacci Retracement Entries: Use 38.2% or 61.8% levels for pullback entries in trending markets
Breakout Entries: Trade breakouts when price closes beyond channels with increased volume
🟠 Customization Parameters
Automatic/Manual Period: Choose between intelligent auto-detection or fixed lookback period
Touch Sensitivity (0.1%-10%): Defines how close price must be to count as a boundary touch
Minimum Touches (1-10): Filter threshold for channel validation
Adaptive Deviation: Toggle between calculated or manual deviation multipliers
