Equilibrium Reversal Channel [BOSWaves]Equilibrium Reversal Channel - Volatility-Based Risk Geometry for Mean Reversion Scenarios
Overview
The Equilibrium Reversal Channel is a volatility-weighted price channel designed to highlight statistically stretched price conditions and assist traders in identifying mean-reversion opportunities within broader market structure. The indicator is not intended to predict market direction in isolation, but rather to contextualize price movement relative to volatility, trend balance, and exhaustion zones.
At its foundation, this tool operates on the assumption that price oscillates around a dynamic equilibrium. When price deviates too far from that equilibrium - particularly under expanding volatility - the probability of a reaction, pause, or reversal increases. The Reversal Channel visualizes these deviations clearly, continuously, and without relying on fixed thresholds or static support/resistance levels.
This indicator is best used as a contextual framework, not as a standalone trading system. Its strength lies in defining where reactions are statistically more likely to occur and when price has moved far enough to warrant caution or contrarian attention.
Use Cases
Primary Use Case 1: Volatility-Anchored Trade Framing (TP / SL Construction)
The Equilibrium Reversal Channel is used to construct trade reference levels directly from live market structure and volatility behavior, rather than from arbitrary price distances.
Stop invalidation is framed around the outer displacement boundary. This boundary represents the point at which price is no longer statistically stretched but instead entering a new volatility regime, invalidating the original mean-reversion premise. In other words, if price accepts beyond this zone, the imbalance thesis is structurally broken.
Take-profit projections are derived from measured rebalancing paths back toward equilibrium, scaled using configurable payoff ratios. These projections reflect how far price typically resolves once imbalance conditions unwind, rather than relying on fixed targets or discretionary exits.
This use case turns the channel into a risk geometry tool — defining where a trade idea is wrong, where resolution is likely to occur, and whether the opportunity offers asymmetric payoff before capital is committed.
Primary Use Case 2: Identifying Statistically Stretched Price Conditions
The second core function of the Reversal Channel is identifying when price is operating far enough from its volatility-adjusted balance state to justify contrarian attention.
Sustained interaction with the outer displacement zones signals that price has entered a statistically inefficient regime. Continuation may still occur, but the marginal return on momentum decreases while reaction probability increases. The channel highlights these conditions in real time, without relying on fixed thresholds or static reference levels.
Rather than predicting reversals, this framework defines where continuation becomes fragile and where rebalancing pressure historically emerges - particularly when reinforced by higher-timeframe structure or liquidity context.
Central Basis Line (Market Equilibrium)
At the core of the Reversal Channel is a dynamically adaptive balance line derived from recent price behavior. This line represents the market’s evolving equilibrium - the point around which price naturally oscillates under normal conditions.
The balance calculation prioritizes recent market information while maintaining smooth continuity, allowing it to adjust efficiently as conditions change without overreacting to short-term noise. Rather than acting as a directional signal, this axis serves as a reference framework for measuring price displacement, volatility expansion, and rebalancing pressure.
Extended acceptance above the equilibrium suggests sustained bullish pressure, while prolonged activity below reflects bearish dominance. However, the Reversal Channel is intentionally agnostic to directional bias - its focus is on distance from balance, not trend prediction.
Volatility-Weighted Channel Construction
Surrounding the equilibrium line are three upper and three lower displacement bands, each derived from a real-time volatility normalization process. This process measures actual market expansion and contraction rather than relying on static price offsets, allowing the channel to adapt fluidly across assets, sessions, and regime shifts.
Each successive band represents an increasing degree of statistical displacement from equilibrium:
The first tier reflects mild volatility expansion
The second tier captures elevated deviation
The outer tier represents extreme statistical stretch
Because the channel geometry is volatility-responsive, it expands during high-energy conditions and contracts during quieter phases. This prevents structural distortion - avoiding channels that are either too restrictive in low volatility or meaningless during aggressive expansion.
To maintain visual coherence and structural continuity, displacement boundaries are processed through a secondary smoothing mechanism. This refinement preserves volatility information while ensuring the channel flows naturally with price action instead of reacting mechanically to isolated candles.
Zone Interpretation (Green, Yellow, Red)
The channel is visually segmented into three color-coded zones on both the upper and lower side of the basis. These zones are not signals - they are probability regions.
The green zone, closest to the basis, represents normal price fluctuation. Price entering this area does not imply exhaustion or reversal; it simply reflects routine movement around equilibrium.
The yellow zone indicates price is becoming extended. Momentum may still continue, but risk increases. This zone often corresponds with late-trend behavior, reduced reward-to-risk for continuation trades, and early contrarian interest.
The red zone represents extreme deviation relative to recent volatility. Price reaching this area suggests the market is operating far from equilibrium. While reversals are not guaranteed, this zone statistically favors slowing momentum, rejection, or reversion, especially when combined with structural or higher-timeframe confluence.
Importantly, these zones are symmetrical. Extreme conditions exist on both the upside and downside, allowing the channel to function in bullish, bearish, and ranging markets.
Reversal Sensitivity Logic
Rather than generating signals immediately when price enters a zone, the indicator uses a confirmation counter mechanism. This means price must remain beyond the first volatility boundary for a user-defined number of consecutive bars before a reversal signal is allowed.
This approach reduces false positives caused by single-candle spikes or transient wicks. By requiring persistence, the indicator attempts to confirm that price is genuinely operating in an extended state rather than momentarily probing it.
Sensitivity inputs allow traders to control how strict this confirmation process is. Lower sensitivity values produce faster signals with higher frequency but lower confirmation. Higher values demand more sustained extension, reducing signal count but increasing contextual reliability.
Buy and Sell Signal Logic
A buy signal is generated only after price has remained below the lower volatility boundary for the required number of consecutive bars and no active trade condition is present. Conceptually, this reflects downside exhaustion relative to volatility.
A sell signal follows the same logic on the upper side, triggering only after sustained price extension above the upper volatility boundary.
These signals are contrarian by design. They are not trend continuation entries. They assume that when price stretches too far, too quickly, the probability of reaction increases - particularly in markets that oscillate rather than trend cleanly.
Trade State Awareness and Exit Logic
The indicator internally tracks whether a trade condition is active. This prevents repeated signals from firing continuously while price remains extended.
Once a trade condition is active, the indicator monitors price relative to the basis line. The basis acts as a logical exit reference, representing a return toward equilibrium. When price crosses back through the basis in the direction of the trade, the condition is reset.
This design reinforces the indicator’s purpose: capturing mean reversion back toward balance, not trend continuation beyond it.
Risk Reference Levels (TP / SL Framework)
Optional take-profit and stop-loss reference levels are derived directly from channel structure rather than arbitrary values. Stop placement is anchored near the outermost volatility band, reflecting the point at which the statistical premise of the trade is invalidated.
Multiple take-profit projections are calculated using configurable risk-to-reward ratios. These levels are not recommendations; they exist to provide structure, visual planning, and consistency when evaluating potential trades.
The indicator does not manage trades. It provides spatial context so the trader can make informed decisions.
Practical Use & Context
The Equilibrium Reversal Channel performs best in markets that exhibit rotational behavior or frequent volatility expansion and contraction. In strong, one-directional trends, extreme zones may persist longer than expected. For this reason, the indicator should always be used alongside higher-timeframe structure, trend context, or directional filters.
Its purpose is not to outperform trend systems, but to define statistical stretch clearly and consistently across assets and timeframes.
Final Notes
Equilibrium Reversal Channel is designed as a contextual decision-support framework rather than a predictive system. It visualizes price behavior relative to dynamically adjusted equilibrium and volatility boundaries, offering insight into statistically stretched conditions and potential mean-reversion opportunities. Its outputs are guidance-oriented, not guarantees, and should be interpreted alongside broader market structure, higher-timeframe context, and sound risk management practices. Every visual element, zone, and signal is intended to enhance situational awareness, empower disciplined decision-making, and provide probabilistic insight into market behavior, not dictate outcomes. Traders are strongly encouraged to combine this framework with their own strategy execution and capital management protocols.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
Indicatori e strategie
[STRATEGY] Adaptive Multi Factor Trend Trading v1.2Daily Filters
Close vs. short/long daily SMAs (customizable) defines directional priority.
Use the daily Short Long MA spread (or ATR‑normalized) to filter out range‑bound conditions and reduce false breakouts.
30‑Minute Entry Logic
Buy
Daily bullish regime confirmed
High breaks above the trend
Protected by trailing take‑profit and fixed stop‑loss.
Sell #1
Daily bearish regime confirmed
Low breaks below the trend
Long MA slope must be strong (trend‑quality filter).
Sell #2
Day‑session only, limited to high‑probability hours
Triggered by an aggregated bear score (multi‑factor stack) + a downward linear‑regression slope
Friday uses special thresholds/intervals (event‑risk control).
Multi‑Factor Framework
MACD, RSI, Stoch (KD), Ichimoku, CCI, PSAR, Williams %R, Heikin Ashi, Bias, Force Index, plus regression‑slope.
Signals are stacked into bull/bear totals and used as filters or weights—no single indicator dominance.
Risk & Position Management
Fixed TP/SL + trailing TP across entry types
Position size adapts to recent performance (loss‑streak counter) and slope state
Auto pause when the loss streak hits the threshold (configurable duration).
Trading‑Day Controls
Optional pre‑holiday blackout list
Date‑range limiter for backtests or deployment windows.
Design Intent
The goal is to keep net P&L stable while lifting win rate.
In strong‑trend environments, the system leans into trend signals (Sell #1 / Buy).
In short‑term chop, Sell #2 timing and the slope filter reduce noise and avoid low‑quality entries.
TechDash+Deliv: EMA+RSI+Supertrend + Delivery Volume Dashboar Strategy Logic
This dashboard combines 6 key conditions to generate a BUY signal:
Price above EMA 21 – Short‑term uptrend.
Price above EMA 50 – Medium‑term uptrend.
Price above EMA 200 – Long‑term uptrend.
RSI between 45–65 – Not overbought, not oversold (sweet spot).
Volume > 1.25× 5‑bar average – Strong participation.
Supertrend bullish – Trend in favor of longs.
A BUY signal is generated when 4 or more conditions are satisfied (configurable).
📊 Dashboard Features
The top‑right table shows:
Technical Signals
EMA 21 / 50 / 200
RSI 45–65
Volume > 1.25× avg
Supertrend direction
Delivery Volume (proxy)
Delivery Qty (K)
Avg Delivery Qty (K)
Delivery Qty × Avg
Sector & Market Context
Sector, Industry
Sector Index % Change (e.g., NIFTY, BANKNIFTY, etc.)
🚨 Delivery Volume Highlight
Delivery Qty × Avg is highlighted in light green when:
Delivery Qty > 2× Avg Delivery Qty
This helps quickly spot stocks with unusually high delivery volume, which often indicates strong accumulation.
🎯 How to Use
Apply on daily or higher timeframes for swing/position trading.
Use the BUY arrow as a trigger, but always confirm with:
Price action (support / breakout)
Sector strength
Risk management (SL, position size).
⚠️ Important Notes
Delivery Qty is a proxy based on volume (since TradingView does not provide real delivery data).
You can later replace volume with real delivery data if you have access to it (e.g., via screener or broker).
This is a dashboard + signal, not a fully automated trading bot. Use it as a decision‑support tool.
Three Soldiers - Short-Side Breakout Strategy Overview
This is the dedicated SHORT version of the Three Soldiers Martingale Pro strategy, designed specifically for bearish momentum on Ethereum 15-minute charts. It operates as the mirror image of the LONG version, using identical logic but reversed signals and position management for downward trends.
Core Concept: Bearish Momentum Capture
When the LONG version catches upward trends, this SHORT version captures downward movements. Both strategies share the same sophisticated framework:
Enhanced Three Soldiers Method for precise bearish signal detection
Progressive position scaling on confirmed downside momentum
Multi-tier exit system adapted for short positions
How to Use Both Versions Together
Primary Application Method:
1、Market Regime Detection: Use volume profile or trend indicators to identify prevailing market direction
2、Select Active Strategy:
Uptrend / Bullish structure → Activate LONG version only
Downtrend / Bearish structure → Activate SHORT version only
3、Avoid Simultaneous Operation: Do not run both strategies concurrently on the same chart
Alternative Advanced Method (Experienced Users):
Run both strategies in opposite paper accounts to test both directions simultaneously
Use as hedge pairs in different timeframes (e.g., LONG on 1H, SHORT on 15min)
Manual switching based on higher timeframe trend confirmation
Key Differences from LONG Version:
All Three Soldiers parameters optimized for bearish signals
Position sizing logic reversed for short entries
Exit calculations adjusted for downward profit targets
Visual indicators show bearish signal markers
⚠️ Parameter Notice (IMPORTANT):
Optimized for: ETH/USD 15-minute charts exclusively
For other instruments: Requires complete parameter re-optimization
Default values: Tuned for ETH's typical bearish volatility patterns
Quick Start Guide:
For bearish ETH markets: Apply this SHORT version with default parameters
When trend turns bullish: Switch to LONG version strategy
Never run both simultaneously on the same chart/timeframe
Monitor position count: Similar 8-position threshold for special exits
Visual Indicators on Chart:
Red Signals: Bearish Three Soldiers entry points
Black Line: Average short entry price
Red/Green Lines: Exit targets when special conditions activate
TNT Intraday Trading Strategy█ OVERVIEW
The TNT Intraday Trading Strategy is a comprehensive intraday analysis tool designed for the Indian stock market (NSE). It evaluates multiple technical conditions to help traders identify potential directional bias for the trading day.
This indicator combines Opening Range Breakout (ORB) analysis with pivot-based positional bias, EMA trend confirmation, and gap/range analysis to provide a structured view of market conditions.
█ HOW IT WORKS
The indicator evaluates six conditions and displays them in a dashboard:
1. Price vs Pivot
Compares the current price against today's pivot level (calculated from previous day's High, Low, Close).
- Price above pivot suggests bullish bias
- Price below pivot suggests bearish bias
2. Positional Bias
Compares today's pivot with yesterday's pivot to determine the broader directional context.
- Today's pivot higher than yesterday's suggests bullish positioning
- Today's pivot lower than yesterday's suggests bearish positioning
- Includes reversal detection when price action conflicts with pivot trend
3. ORB Breakout
Monitors price relative to the Opening Range (first candle high/low).
- Price breaking above ORB high suggests bullish momentum
- Price breaking below ORB low suggests bearish momentum
- Price within the range suggests consolidation
4. Intraday Bias (EMA)
Compares current price against a configurable EMA (default: 34-period on 15-minute timeframe).
- Price above EMA suggests bullish intraday trend
- Price below EMA suggests bearish intraday trend
5. Gap Analysis
Measures the opening gap from previous day's close.
- Large gaps may indicate potential sideways/volatile conditions
6. ORB Range Check
Evaluates the size of the first candle's range.
- Wide opening ranges may indicate potential sideways/volatile conditions
█ FEATURES
- Real-time dashboard with traffic light indicators (🟢🔴🟡)
- Multi-timeframe support (1-minute, 3-minute, 15-minute charts)
- All calculations based on 15-minute data for consistency
- Visual ORB and Pivot lines on chart
- Historical ORB levels for last 3 trading sessions (toggleable)
- Lines extend from market open to market close (9:15 AM - 3:30 PM IST)
- Configurable thresholds for different symbols
- Two color themes: Dark Premium and Classic Dark
- Alert conditions for signal changes
█ HOW TO USE
1. Add the indicator to a 1-minute, 3-minute, or 15-minute chart
2. Wait for the first candle period to complete (default: 15 minutes after market open)
3. Observe the dashboard for condition status
4. All four directional conditions should align for a clear directional bias
5. Gap and Range conditions act as filters - if triggered, they suggest avoiding directional trades
█ SETTINGS
Opening Range Break (ORB) Settings:
- ORB Candle Duration: Duration of first candle (15 min, 30 min, 1 hour)
- Range Thresholds: Configurable for Nifty (points) and other stocks (percentage)
- Show Historical ORB: Toggle display of last 3 days' ORB levels
EMA Settings:
- EMA Period: Configurable period for the moving average (default: 34)
Gap Settings:
- Gap Thresholds: Configurable for Nifty (points) and other stocks (percentage)
Visual Settings:
- Line colors for ORB and Pivot
- Dashboard position
- Color theme selection
Alert Settings:
- Enable/disable alerts for Bullish, Bearish, and Sideways signals
█ DASHBOARD INTERPRETATION
The dashboard displays:
- Symbol, current price, date, and time
- Strength indicator showing bullish/bearish count
- Individual condition status with values
- Final verdict: TRADE BULLISH, TRADE BEARISH, SIDEWAYS, or MIXED
Traffic Light System:
🟢 Green = Bullish condition met
🔴 Red = Bearish condition met
🟡 Yellow = Neutral/Sideways/Caution
⚪ White = Waiting for data
█ LIMITATIONS
- Designed for Indian market hours (9:15 AM - 3:30 PM IST)
- Works only on 1-minute, 3-minute, and 15-minute timeframes
- Conditions update in real-time but ORB levels are fixed after the first candle
- Historical data requires the indicator to be on the chart for multiple days to accumulate
- Not suitable for overnight or positional trading decisions
█ DISCLAIMER
This indicator is a technical analysis tool designed to assist in identifying potential market conditions. It does not provide financial advice, trading signals, or guarantee any outcomes.
- Past performance is not indicative of future results
- Trading involves substantial risk of loss
- Users should conduct their own analysis and risk management
- This tool should be used as one component of a broader trading methodology
- Always consider your risk tolerance and financial situation before trading
The creator is not responsible for any trading decisions made using this indicator.
Three Soldiers - Long Direction Breakout Strategy Overview
The Three Soldiers Martingale Pro is a high-frequency trend-following strategy specifically optimized for Ethereum (ETH) on 15-minute charts. This precision-tuned system combines the enhanced Three Soldiers Method's momentum detection with disciplined progressive position sizing, creating a powerful tool for capturing ETH's characteristic volatility patterns in the 15-minute timeframe.
⚠️ CRITICAL PARAMETER NOTE ⚠️
This strategy's default parameters are EXCLUSIVELY calibrated for ETH/USD 15-minute charts.
For ETH: Parameters work as optimized out-of-the-box
For other cryptocurrencies: Expect poor performance or loading issues
For other timeframes: Significant parameter adjustment required
For traditional stocks/forex: Complete re-optimization necessary
Core Concept: ETH-15min Optimized Momentum Capture
The strategy exploits ETH's specific behavioral patterns in 15-minute intervals:
ETH-Specific Volatility Thresholds: Absolute/relative strength parameters set for ETH's typical 15-minute ranges
15-Minute Momentum Cycles: Lookback periods and averaging windows match ETH's 15-minute cycle characteristics
ETH Volume-Volatility Correlation: Exit parameters calibrated to ETH's unique volume-volatility relationship
Parameter Adaptation Guidelines for Other Instruments
If Trading Other Cryptos (BTC, SOL, etc.):
Recommended starting adjustments:
1. Multiply all percentage thresholds by (asset_volatility / ETH_volatility)
2. Adjust `tb_lookback` based on the asset's trend persistence
3. Modify profit targets based on the asset's average true range
If Changing Timeframes:
5-minute: Reduce all percentages by 30-40%
30-minute: Increase all percentages by 50-60%
1-hour: Double most percentage parameters
Strategy Logic Flow (ETH 15min Specific)
ETH Momentum Detection: Wait for Three Soldiers signals calibrated to ETH's patterns
15-Minute Entry Timing: Enter during ETH's typical active trading windows
ETH Volatility Management: Use stops/profits sized for ETH's 15-minute ranges
ETH-Specific Exit Triggers: Activate special exits during ETH's characteristic pullbacks
Default Parameters (ETH 15min ONLY)
long_along_absThreshold=0.8 (ETH's typical 15-min single-candle move)
takeProfitPct=6 (Optimized for ETH's 15-minute swing potential)
tb_lookback=14 (Matches ETH's momentum cycles)
fenge=8 (Based on ETH's average trend length before corrections)
Strategy Overview
The Three Soldiers Martingale Pro is a sophisticated trend-following strategy that combines the precision of the Enhanced Three Soldiers Method with the capital efficiency of progressive position sizing. This unique fusion creates a powerful momentum-capturing system designed to ride strong trends while dynamically managing risk through multiple exit mechanisms.
Core Concept: Precision Entry + Intelligent Position Management
Most Martingale strategies simply average down blindly. This strategy revolutionizes the approach by:
Signal-Based Entry Trigger: Only enters or adds positions when the Enhanced Three Soldiers Method confirms genuine momentum
Progressive Capital Allocation: Each new signal adds a fixed percentage of initial capital, creating a disciplined scaling approach
Multi-Layer Exit System: Implements three distinct exit strategies based on market conditions and position age
Key Components
1、Enhanced Three Soldiers Signal System
Dual Signal Types: Identifies both single-candle and three-candle momentum patterns
Strength Thresholds: Requires both absolute price movement (%) and relative efficiency (close-to-open vs. total range) to qualify
True Signal Confirmation: Uses historical signal breakout logic to filter false entries
Customizable Parameters: All strength thresholds adjustable for different market conditions
2、Progressive Position Sizing
Initial Entry: Uses a fixed percentage of capital (configurable)
Signal-Based Scaling: Each new confirmed signal adds another position of the same percentage
No Maximum Layers: Continues adding as long as signals appear (unlimited in theory)
3. Three-Tier Exit Mechanism
Real-Time Cost Calculation: Dynamically calculates average entry price, position size, and break-even points
Tier 1: Progressive Trailing Stop (Primary exit for normal conditions)
Creates 10 profit zones based on distance from average entry
Each zone has its own trailing stop percentage (configurable)
Automatically moves up stop levels as profit increases
Example: Zone 1 (1x profit target) uses 1x stop%, Zone 10 (10x profit target) uses 10x stop%
Tier 2: Special Exit System (Activated after specific conditions)
Triggers when: (1) position count exceeds "fenge" threshold AND (2) average entry > current price
Splits each position into two parts: "Bounce Exit" (60%) and "Special Exit" (40%)
Sets separate profit targets for each portion
Designed for deep pullbacks in strong trends
Tier 3: Full Exit (Cleanup mechanism)
Closes any residual positions below minimum threshold
Prevents tiny leftover positions from affecting account
Strategy Logic Flow
Wait for Signal: Monitor for Enhanced Three Soldiers "True Bullish" signal
Initial Entry: Enter with configured capital percentage
Subsequent Signals: Each new true signal adds another position
Exit Evaluation:
If position count ≤ "fenge" AND average entry ≤ current price → Use Progressive Trailing Stop
If position count > "fenge" AND average entry > current price → Activate Special Exit System
5、Position Management: Continuously update trailing stops and monitor exit conditions
Parameter Customization
Three Soldiers Parameters: Absolute/relative strength thresholds, lookback periods, average calculations
Position Sizing: Initial capital percentage, exit percentages
Exit System: Profit targets, trailing stop percentages, special exit thresholds
Special Exit: Activation threshold ("fenge"), bounce exit percentage, special profit targets
Strategic Advantages
✅ Signal-Driven Scaling: Avoids random averaging - only adds on confirmed momentum
✅ Adaptive Exit Logic: Different exit strategies for different market phases
✅ Progressive Risk Management: Tightening stops as profits accumulate
✅ Trend Persistence: Can ride extended trends while managing drawdowns
✅ Clear Visual Feedback: Plots average entry, bounce exit, and special exit line
Visual Indicators
Green Triangle: "True Bullish" entry signals
Black Line: Current average entry price
Red Line: Bounce exit target (when active)
Green Line: Special exit target (when active)
[uPaSKaL] Adaptive Swing StructureOverview :
Adaptive Swing Structure identifies and labels swing structure using HH / HL / LH / LL and can optionally draw wave connectors between successive swing points.
The goal is to provide a clean, practical view of market structure that remains readable across different market conditions.
Instead of relying only on a classic fixed-window pivot scan (left/right bars), this indicator uses an adaptive swing-detection approach designed to better match how traders visually interpret legs and structure.
Why this approach (vs. a simple pivot scan)?
Classic pivot scans (e.g., “pivot high/low with left/right bars”) are simple and widely used, but they often have practical limitations:
They depend heavily on a fixed window size (too sensitive in chop, too slow in trends)
They can mark pivots that are locally valid but not always representative of the broader leg
They may produce frequent structure changes during ranges, reducing readability
What you get with this indicator
A more stable swing structure view that adapts to price movement
Cleaner HH / HL / LH / LL labeling for context and decision-making
Optional wave connectors to visually follow the swing path
Visual comparison:
The screenshots below illustrate the difference in how structure can appear when using a classic pivot scan versus Adaptive Swing Structure.
Classic Pivot Points (High / Low):
Adaptive Swing Structure (This Indicator):
How to read the labels
This indicator labels swing structure using the standard notation:
HH = Higher High
HL = Higher Low
LH = Lower High
LL = Lower Low
How to interpret Wave Lines
When enabled, wave lines connect successive swing points to help you visually track the current swing path and structural transitions.
Inputs guide
Tracer Line Len
Main sensitivity control. Adjust this to fit the instrument and timeframe.
Higher values → fewer swing points, smoother structure (macro view)
Lower values → more swing points, more detail (micro view)
Show Wick (High / Low) Line
Shows the wick-based tracer (visual reference).
More sensitive to extremes and wick behavior
Useful when wicks matter (liquidity spikes / stop-runs)
Show Body (Open / Close) Line
Shows the body-based tracer (visual reference).
Filters wick noise and often looks smoother
Useful when you prefer structure based on candle bodies
Show Slope Flip Labels
Shows small markers that highlight swing turning moments (study/verification).
Helpful for understanding where structure updates
Optional and can be disabled for a cleaner chart
Wave Labels (WICK)
Shows HH/HL/LH/LL labels using wick-based swings.
More responsive to wick extremes
Wave Lines (WICK)
Connects wick-based swing points with wave lines.
Improves visual continuity of swings
Wave Labels (BODY)
Shows HH/HL/LH/LL labels using body-based swings.
Typically smoother and less sensitive to wick spikes
Wave Lines (BODY)
Connects body-based swing points with wave lines.
Cleaner wave path for body-based structure
Max Wave Labels Kept (per Wick / Body)
Limits the number of labels kept on the chart (older ones are removed first).
Reduces clutter
Helps maintain performance
Max Wave Lines Kept (per Wick / Body)
Limits the number of wave lines kept on the chart (older ones are removed first).
Keeps the chart readable
Helps maintain performance
History Window (map size / scan clamp)
Performance / stability control for how much recent history is considered.
Higher values → more history considered, higher CPU usage
Lower values → lighter execution, structure limited to more recent swings
Usage / Tuning
1) Find “your number” for each market
There is no universal best setting. The optimal Tracer Line Len depends on:
Instrument volatility
Your trading timeframe
Whether you want micro structure or macro structure
2) Build a simple baseline
Choose your chart timeframe (e.g., 4H).
Start with a moderate Len (e.g., 10–30).
Increase or decrease Len until the swing structure matches how you would manually map it.
3) Practical “timeframe scaling” intuition
You can use Len to “zoom out” or “zoom in” structure without changing your chart timeframe.
Example on 4H :
If Len = 20 produces the swing structure you want for 4H decisions, keep it as your baseline.
If you increase it to something like Len = 120 , the structure becomes much smoother and swing points appear less frequently.
This means:
4H with a smaller Len → focuses on 4H-level swings (more detail).
4H with a much larger Len → filters many local swings and highlights broader legs (more “higher-timeframe-like” context).
This is not a strict mathematical replacement for switching timeframes, but it is a practical and effective way to compress or expand structure density on the same chart.
4) Wick vs Body (which one to choose?)
WICK : Choose when extreme wicks matter to your reading of structure.
BODY : Choose when you want smoother structure and less sensitivity to wick spikes.
5) Suggested workflow for active traders
Use one preset for local structure (entries / short-term decisions).
Use a second preset with a larger Len for higher-level context (major swings / directional bias).
Elite Scalper ProElite Scalper Pro
A scalping multi-tool built for traders who want clarity + control —not blind signals.
This is a regime-aware framework that helps you filter low-quality conditions , execute with structured exits , and audit performance from a live panel.
What it is (in one line)
Regime filters + structured execution + a live control panel — so you can trade with a repeatable process.
What makes it different
Most “signal indicators” only tell you when . Elite Scalper Pro is designed to also tell you whether conditions make sense — and it gives you the controls to tune per symbol without turning the system into chaos.
Regime-aware filtering : optional gates (EMA / MACD / RSI / CHOP) + volatility controls to reduce “noise trades”.
Structured execution : ATR-based TP1 / TP2 / SL with optional management layers.
Protective Exit (PE) : optional early-defense layer to cut damage when a setup fails fast.
HeatShield : optional volatility-spike filter to avoid entering during “too hot” conditions.
A-Low Filters (Long / Short) : optional quality blocks to avoid weak setups per direction.
State Panel : live status + targets + context + performance audit so you tune with evidence, not guesswork.
Chart behavior
Designed to stay clean: no indicator clutter. (EMA is available; everything else is handled internally.)
Markets
Built for multi-market trading: FX, metals (XAUUSD), indices, crypto, CFDs .
Reality check: symbols behave differently (volatility, sessions, noise). Defaults are a strong starting point — not a universal “best setup”.
The State Panel (your control tower)
Signal status : FLAT / PENDING / ACTIVE so you always know the current stage.
Live trade map : Entry / SL / TP1 / TP2 (reflects management updates).
Regime context : volatility + filter status so you understand why it’s trading (or not).
Performance audit : win rate / PF / net / MAE-MFE style metrics to evaluate behavior over your available history.
Protective Exit (PE)
PE is optional. Concept: when a trade moves your way then quickly invalidates, PE can act as a controlled cut to reduce damage before the full SL hits.
PE does not replace SL — it’s a risk-shaping layer you can enable/disable and tune.
Targets & trade structure
TP1 / TP2 staged exits (or single target): scale out or hold for TP2.
Sizing control : choose how much closes at TP1 vs TP2.
ATR-based risk : stops and targets scale with volatility rather than fixed points.
Optional management : CL after TP1 (breakeven-style behavior) depending on your style.
DEEP DIVE — How to use Elite Scalper Pro properly
1) Pick ONE symbol first
Start with the market you actually trade. Liquidity + spread + session quality matter more than “perfect settings”.
2) Start with defaults, then tune like a professional
Change one thing at a time, then re-check the panel metrics and trade behavior. Keep what improves stability , not just what looks best on a short window.
3) Choose your tuning goal
Higher win rate → usually fewer trades, stricter filters, sometimes smaller TP.
Higher average R → usually wider TP2/SL, more patience required.
Balanced → smoother month-to-month behavior, moderate trade count.
4) Don’t over-optimize
Prefer settings that behave “reasonably” across different regimes.
Watch trade count — if trades collapse, your “edge” may be an illusion.
Don’t stack every gate just because you can. Many symbols respond best to one or two gates.
Gates explained (what each one does)
A-Low Long / A-Low Short
Optional safety filters to block weak setups per direction (useful on symbols that fake out often). Disable if they remove too many valid trades.
EMA Gate (trend alignment)
Fast EMA vs Slow EMA bias filter. Faster = more trades/more noise. Slower = fewer trades/smoother.
MACD Gate (momentum confirmation)
Confirms momentum direction. Buffer makes it more selective (reduces micro-flips).
RSI Gate (two styles)
Midline mode : uses the 50 line to align with general direction.
Directional mode : blocks chasing (don’t long when RSI is already “too high”, don’t short when RSI is already “too low”).
CHOP Gate (market structure filter)
Separates trend conditions from chop. Stronger modes = cleaner entries, fewer trades.
Volatility Gate (regime selection)
Allows/block trades in LOW / MID / HIGH / EXTREME volatility regimes. Useful when a symbol performs best in specific volatility “zones”.
HeatShield (volatility spike protection)
Optional filter that blocks entries during sudden “too hot” volatility spikes to reduce whipsaw risk. Enable only if it improves stability on your symbol.
Time Control (session logic)
Optional entry blocking during specific time windows (spread, opens, news-like chop). Use only if your symbol consistently misbehaves at certain times.
Alerts (manual + automation-ready)
Manual : receive clean entry/management notifications to review and execute.
Automation pipelines : alerts can be routed into webhook workflows (TradingView alert infrastructure). Keep automation risk controls external and conservative.
Not financial advice. Educational only. Trading involves risk. No settings or historical results guarantee future performance. Test in replay/paper first and use strict risk management.
KVS-Pro Kripto: MTF POC & Delta MasterA professional MTF indicator combining Volume and Trend analysis into a single dashboard. Monitor Dynamic POC, VAH/VAL levels, Delta Pressure (Buyers vs. Sellers), and Price Divergences across 4 customizable timeframes simultaneously.
Why use this?
The Big Picture: Track trend and volume data for 4 timeframes at once.
Delta Intelligence: Instantly see if Buyers or Sellers are in control.
No Repainting: "Fixed Mode" ensures historical data remains rock-solid for reliable analysis.
Divergence Hunter: Automatically detects discrepancies between Price and Delta.
Ideal for traders looking to align higher timeframe trends with lower timeframe entries.
V-Max L3: Battle Director (Resonance & Execution Engine)🛡️ 【V-Max】L3 Battle Director: Ultimate Multi-Timeframe Resonance Engine
Overview V-Max L3 Battle Director is the pinnacle of the V-Max strategic suite. It serves as an institutional-grade "Commander Dashboard" that synchronizes market dynamics across 6 timeframes while integrating a sophisticated volatility-burst detection system known as the A++ Diamond Signal.
Technical Methodology & Originality L3 transcends standard indicators by utilizing a multi-layered decision-making architecture:
Macro-to-Micro Resonance Matrix: The engine continuously scans Weekly, Daily, 4H, 1H, 15m, and 3m timeframes. It calculates a "Final Power" score (final_p) by weighting these cycles (Weekly/Daily for bias, 4H/1H for execution) to ensure every signal is backed by macro-micro alignment.
A++ Diamond Execution Logic: This proprietary signal is only triggered when three physical conditions converge: Volume Spike (>50% of 480-bar high), Volatility Burst (ATR > 1.3x SMA), and Momentum Confirmation (MACD divergence alignment).
Physical RSI Reset & Cooling System: To prevent over-trading in choppy markets, L3 features a "Tactical Reset" logic. After a signal fires, the system enters a "Cooling" state and only re-arms once the RSI crosses back through the neutral 50-line (±cool_th), ensuring each trade starts from a fresh momentum cycle.
Integrated "5-Line Score" Calculator: The script renders a real-time risk management overlay on the chart, projecting Entry, SL (Stop Loss), TP1 (Reduction), and Final TP levels based on either Fibonacci Ratios or Fixed Risk:Reward (RR).
How to Use
Resonance Score: Focus on signals when the dashboard score exceeds ±70%.
A++ Signals: These represent high-conviction institutional flow entries.
Dashboard Matrix: Use the sidebar to monitor the directional health of all 6 timeframes simultaneously.
產品概述 V-Max L3 戰域總監是 V-Max 策略套件的最高指揮官版本。它是一個整合 6 個時區同步動能、鑽石級爆量篩選系統 (A++ Signal) 與實時風控五線譜計算機的「交易指揮中心」。
技術邏輯與功能
多維權重共振矩陣：系統同步監測從週線到 3 分鐘線的 6 個時區。透過計算「綜合決策分 (final_p)」，確保每一個發射信號都具備宏觀與微觀的共振基礎。
A++ 鑽石級訊號：專為獵殺機構行情設計。只有當成交量突破（480 根 K 線新高 50% 以上）、波動率爆發 (ATR 爆發) 與動能確認三者同時滿足時，才會標註 💎A++ 標籤。
物理冷卻重置機制：內建 RSI 觸控重置邏輯。信號發射後即進入冷卻，直到市場回歸中性區間 (RSI 50 附近) 才會重新裝彈，有效避開動能耗盡後的震盪陷阱。
內建五線譜風控引擎：在圖表右側實時投影進場、止損、減倉與止盈參考線，並自動根據您的帳戶總額計算建議下單數量。
This is an Invite-only indicator for Elite V-Max members. To request authorization, please contact: 👉 Telegram: @VMax_Helper_bot
Disclaimer: This script is for advanced technical analysis only. Trading cryptocurrency involves significant risk.
V-Max L2B: SMC Terrain Map (Institutional Order Flow)🛡️ 【V-Max】L2B: SMC Terrain Map & Institutional Order Flow Engine
Overview V-Max L2B Terrain Map is a professional-grade structural analysis tool based on Smart Money Concepts (SMC). It automatically identifies and projects institutional Supply/Demand zones, Fair Value Gaps (FVG), and Order Blocks (OB), providing traders with a high-fidelity "topographical" view of market liquidity and structural shifts.
Technical Methodology & Originality L2B goes beyond simple price marking by employing a sophisticated object management and tactical filtering engine:
Dynamic Mitigation & Sweeping Engine: The script utilizes a custom SMCBox data structure to track institutional zones in real-time. It features a "Physical Mitigation Detection" system that automatically invalidates zones (marked with ✘) when price action effectively sweeps the liquidity, ensuring traders only focus on fresh, unmitigated levels.
Auto-Gap Space Filter (R:R Safeguard): This original logic ensures trade quality by calculating the struct_gap between local highs and lows. It requires a minimum gap of at least 1.5x ATR before validating "War God" tactical signals, preventing entries into low-probability "Choke Zones".
Tactical "War God" Decision Logic: Unlike static indicators, L2B integrates a decision-making layer based on EMA10 proximity and structural buffers. It identifies "Tactical Entry Points" only when price action resonance occurs at optimized structural coordinates.
Institutional Flow Visualization: The engine renders BoS (Break of Structure) and CHoCH (Change of Character) markers with precision timing, allowing traders to visualize the transition between bearish and bullish market environments instantly.
How to Use
Zone Confluence: Identify high-probability setups when the "War God" tactical labels align with unmitigated Order Blocks (OB).
Trend Transitions: Monitor "🛡️ Retreat" labels for early warnings of structural failure and trend reversal.
產品概述 V-Max L2B SMC 撐阻地形圖是一款基於聰明錢概念 (SMC) 的專業級結構分析工具。它自動識別並投影機構級的供應/需求區、失衡缺口 (FVG) 與訂單塊 (OB)，為交易者提供市場流動性與結構轉變的高清晰度「地形」視野。
技術邏輯與原創性 L2B 的核心價值在於其精密的物件管理與戰術過濾引擎：
動態失效與清掃引擎：採用自定義 SMCBox 數據結構，具備「物理失效檢測」系統。當價格有效清掃流動性時，系統會自動標註失效 (✘)，確保交易者僅關注最新且未被觸碰的有效區間。
自動空間過濾器 (盈虧比防護)：內建原創邏輯，計算局部高低點間的 struct_gap。只有當空間超過 1.5 倍 ATR 時，系統才會允許發射戰神指令，有效避開無利潤空間的「窒息區」。
戰神決策邏輯：整合基於 EMA10 趨向與結構緩衝區的決策層，僅在價格行為與結構座標產生共振時標註「戰術進場點」。
This is an Invite-only indicator for V-Max professional members. To obtain authorization, please provide your TradingView ID to: 👉 Telegram: @VMax_Helper_bot
Disclaimer: This script is for technical analysis reference only. Always practice strict risk management.
V-Max L2A: Momentum Radar (MTF Resonance Engine)🛡️ 【V-Max】L2A Momentum Radar: MTF Resonance & Weighting Engine
Overview V-Max L2A Momentum Radar is a high-precision momentum oscillator that synchronizes market inertia across six distinct timeframes. Unlike standard oscillators, L2A employs a proprietary MTF Resonance Weighting Engine to filter out micro-noise and align execution with institutional flow.
Technical Methodology & Originality The core value of this invite-only script lies in its sophisticated logic:
Proprietary MTF Scoring Engine: The script calculates a real-time "Resonance Score" (w_score) by assigning specific weights to momentum data (EMA 200 & RSI 14) from 6 timeframes:
Weekly (W): 2.0 weight (The Trend Anchor)
Daily (D): 1.5 weight
H4 & H1: 1.0 weight each
M15: 0.5 weight
M3 (Local): 0.3 weight Signals are only prioritized when these timeframes reach high-confluence resonance.
Intelligent Auto-Filter: To ensure signal quality, the MACD histogram is automatically calibrated against a 100-bar peak intensity and a 20-period volume SMA. This prevents "fakeouts" during low-liquidity periods.
7-State Tactical Status Machine: The UI displays a real-time market bias (e.g., "Full Long," "Prohibit Short," "Structural Adjustment") based on the internal w_score and RSI thresholds.
Divergence & Volume Detection: Features an automated divergence detection system (△/▽) combined with relative volume monitoring (>1.5x) to identify momentum exhaustion and potential reversals.
How to Use
Confluence Entry: Look for "Full Long/Short" status when the MACD completes a volume-confirmed crossover.
Alerts: Use the integrated system for real-time notifications on MTF resonance shifts.
產品概述 V-Max L2A 動能雷達是一款高精度的動能分析套件，旨在同步六個不同時間週期的市場慣性。L2A 採用獨家的「MTF 共振加權引擎」，有效過濾微觀雜訊，確保執行方向與機構資金流向一致。
技術邏輯與原創性
原創 MTF 評分引擎： 腳本透過為 6 個時區的動能數據分配不同權重來計算實時「共振分數 (w_score)」：
週線 (W)：2.0 權重（趨勢定錨）
日線 (D)：1.5 權重
H4 與 H1：1.0 權重
M15 與 M3：微觀修正權重
智能自動濾波：MACD 柱狀體會根據 100 根 K 線的峰值強度與成交量均線自動校準，避免在低流動性環境下產生虛假訊號。
七階戰術狀態機：根據內部 w_score 實時顯示市場偏好（如：全力做多、禁止做空、結構調整），為交易者提供明確的執行依據。
This is an Invite-only indicator for V-Max members. To request access: 👉 Telegram: @VMax_Helper_bot
Disclaimer: For technical analysis purposes only. Trading involves risk.
V-Max: Crypto Position Master (Risk Engine)🛡️ 【V-Max】Crypto Position Master: Professional Risk & Execution Engine
Overview V-Max Crypto Position Master is a professional-grade risk management and execution dashboard designed for the TradingView platform. It solves the critical challenge of dynamic position sizing and multi-stage exit planning in volatile crypto markets.
Technical Methodology & Originality This tool moves beyond static lot sizes by employing a real-time "Physical Risk Engine":
Dynamic Position Sizing: Automatically calculates quantity based on Total Capital * Risk % / SL Distance.
Volatility-Adjusted SL: Offers three stop-loss logic modes: 3M Range (Average Range), ATR-based, and Structural Price Action.
Execution HUD: Real-time visual projection of Entry, SL, TP1 (Reduction), and Final TP levels on the chart.
Smart Refill Logic: Calculates the optimal "Refill" zone based on a percentage of the distance between Entry and SL for precise laddered entries.
Choke Zone Detection: Monitors 3M Range vs. custom thresholds to alert traders of "Choke Zones" where volatility is insufficient for healthy risk-reward ratios.
How to Use
Set your total margin and desired risk percentage per trade.
Choose your SL source (Range/ATR/Structure).
The dashboard will display the exact quantity to trade and your max potential loss in USD.
產品概述 V-Max Crypto Position Master 是一款專業級的風控運算與執行儀表板。它解決了加密貨幣市場中動態倉位計算與多階段止盈規劃的核心難題。
技術邏輯與功能 本工具透過「物理風險引擎」實現精確交易：
動態倉位計算：基於 總資金 * 風險比例 / 止損距離 自動計算建議交易數量。
波動率適應止損：提供三種止損邏輯：3M 平均波幅、ATR 指標及結構高低點。
戰術 HUD：在圖表上實時投影進場點、止損點、TP1（減倉點）及最終止盈位置。
補倉邏輯：精確計算進場與止損之間的「Refill」回撤區塊，優化分批建倉成本。
窒息區監測：當當前波幅低於設定門檻時，系統將發出「⚠️ Low Vol」警告，提示不宜強行操作。
This is an Invite-only script for V-Max professional members. To request authorization, please provide your TradingView ID to: 👉 Telegram: @VMax_Helper_bot
V-Max L1: Strategic Horizon & Trend Navigator Overview V-Max L1 is a strategic trend-following indicator designed to filter market noise and identify macro inertia. It combines multiple classical technical theories into a unified visual system to help traders maintain direction in volatile markets.
Technical Logic & Calculations This script integrates several key components to justify its invite-only status:
Trend Filter: Uses a 200/233 EMA (Vegas Tunnel) as the core trend boundary.
Momentum Integration: Uses a multi-length RSI algorithm to detect overbought/oversold conditions (Yellow/Pink signals).
Volume Analysis: Monitors relative volume spikes (>1.5x average) to identify institutional "Ignition Candles."
Signal Smoothing: Employs MTF (Multi-Timeframe) confirmation logic to reduce signal flickering on lower timeframes.
How to Use
Background Color: Indicates the macro trend (Gray for Bullish, Dark Red for Bearish).
Launch Signals: "Long/Short" labels appear when 10/30 MA crossovers occur under specific RSI conditions.
Top/Bottom Signals: Based on long-cycle RSI extremes for strategic reversals.
產品概述 V-Max L1 戰略地圖是一款趨勢跟蹤指標，旨在過濾市場雜訊並識別宏觀慣性。它將多種經典技術理論整合到統一的視覺系統中，幫助交易者在波動市場中保持方向。
技術邏輯與計算 本腳本整合了以下核心組件：
趨勢過濾：使用 200/233 EMA (維加斯通道) 作為核心趨勢分水嶺。
動能整合：使用多長度 RSI 算法檢測超買/超賣狀況（黃燈/粉燈）。
量價分析：監測超過 1.5 倍的異常成交量，標註機構級「點火 K 線」。
訊號平滑：採用多時區確認邏輯，減少低時區的訊號閃爍。
如何使用
背景顏色：顯示宏觀趨勢（灰色代表多頭，暗紅色代表空頭）。
發射訊號：當 10/30 MA 在特定 RSI 條件下完成交叉時顯示。
This is an invite-only indicator. For access and authorization, please contact: 👉 Telegram: @VMax_Helper_bot
Disclaimer: This script is for technical analysis only and does not constitute financial advice.
3 Months Buying ForceReturn from 3-Month Low (%) measures current price recovery from the lowest low over the past ~66 trading days (3 months on daily charts). Color-coded: Red (<20% - weak buying), Orange (20-30% - moderate), Green (>30% - strong buying force). Ideal for identifying long-term accumulation and swing trade setups in Pine Screener.
RAHU1System Overview
This is a comprehensive "Confluence-Only" execution tool designed for intraday trend following. It removes the clutter of traditional charts by hiding all calculation lines and only displaying high-probability execution labels and objective exit targets.
The Four Execution Pillars
The system logic is built on four distinct "Smart-Entry" models:
Velocity Alignment: Triggers when price momentum synchronizes with a multi-period average, ensuring you enter as the move accelerates.
Structural Expansion: Detects when price aggressively breaks through short-term and medium-term trend baselines with a high-expansion candle.
The Reversion Bounce: Identifies "buy-the-dip" or "sell-the-rally" opportunities where price tests a trend line and shows a strong rejection.
Two-Stage Confirmation: A specialized logic that requires momentum to clear two separate "strength gates" before a signal is printed.
The "Anti-Trap" Filter Logic
To prevent entries during sideways or "fake" market moves, every signal must pass a Triple-Check Validation:
Volume Breakthrough: The signal candle must show higher-than-average participation.
Relative Value Filter: The system tracks the volume-weighted mean of the day; it strictly forbids buying when price is "expensive" or selling when "cheap" relative to this mean.
Directional Flow: Uses internal flow data to ensure "Smart Money" is actively pushing in the direction of the trade.
Dynamic Target Mapping
The system does not just tell you when to enter; it provides immediate objective targets. Once a "B" signal appears, three dashed levels are projected:
Level 1 (--- T1): Scalp/Partial Exit.
Level 2 (--- T2): Trend Extension.
Level 3 (--- T3): Volatility Expansion.
Visual Interface
B (Green): Bullish Execution (Call side).
B (Red): Bearish Execution (Put side).
Dashed Lines: Clear, non-intrusive profit targets.
Chart Style: Ultra-clean. No moving averages or oscillators are visible, keeping your focus on Price Action. No guaranteed profits
Clear disclaimer like: “This is not financial advice”
1 Month Buying ForceThis indicator tracks current price recovery from the lowest low over the past ~22 trading days (1 month on daily charts).
Color-coded: Red (<20% - weak), Orange (20-30% - moderate), Green (>30% - strong). Perfect for screening bounce candidates and swing setups in Pine Screener.
VWAP Last 30-minCalculates and prints Volume Weighted Average Price for the final 30 or 60 minutes as specified.
Inputs
Market Close timing (11.30 pm or 11.55 pm)
Duration (30 or 60 etc)
KIMSHA ScoreboardThe KIMSHA Scoreboard V11 is a multi-timeframe trend and momentum analysis tool designed to identify high-probability "Strike Zone" entries by aligning Daily and Weekly technicals.
The Scoring Logic
Using a unique binary weighting system, the indicator monitors four critical conditions:
Daily MACD & Daily CCI: The primary "Must-Have" momentum triggers.
Weekly MACD & Weekly CCI: The foundational trend confirmation.
KIMSHA Grades (0–4)
The scoreboard distills 16 technical combinations into five definitive priority levels:
Score 4 (A+): Perfect Alignment. All four Daily and Weekly conditions are met.
Score 3 (A): Strike Zone. Both Daily conditions are locked + Weekly trend support. This is the primary entry zone.
Score 2 (D): Warning. Only one Daily condition is met. Building momentum but lacks full confirmation.
Score 1 (W): Watchlist. Weekly trend is positive, but Daily entry triggers are not yet active.
Score 0 (F): No Trade. No technical conditions are currently met.
Swing Elite - F2CFD forexConvert your futures trade levels to CFD broker prices instantly. Analyze on futures charts with superior liquidity and price discovery, then execute on your CFD platform with accurately converted entry, stop loss, and target levels.
🎯 What It Does
This indicator automatically converts price levels from CME futures contracts to their corresponding CFD equivalents. Simply click your entry and stop loss on the futures chart, and the indicator calculates the exact CFD prices you need for execution.
📊 Supported Instruments
Direct Forex Pairs:
6E → EURUSD
6B → GBPUSD
6A → AUDUSD
6N → NZDUSD
Inverse Forex Pairs:
6S → USDCHF
6J → USDJPY
6C → USDCAD
📋 How To Use
Add indicator to your futures chart (e.g., 6E, 6S)
Click your Entry level
Click your Stop Loss level
The indicator automatically:
Fetches live CFD price
Calculates the basis
Converts all levels to CFD equivalents
Calculates target based on your R:R ratio
Displays visual lines and table
📈 Features
Auto-detection of futures contract type
Auto-fetch of corresponding CFD price
Automatic direction detection (Long/Short)
Direction flip for inverse pairs (Short 6S = Long USDCHF)
Customizable Risk:Reward ratio
Visual entry/stop/target lines with fill zones
Clean data table with all levels
Risk calculation in pips
Adjustable table position and size
⚠️ Important Notes
The basis changes slightly over time due to interest rate differentials and futures expiration
Best accuracy when futures and CFD markets are both open
For inverse pairs, the trade direction flips (Long on futures = Short on CFD)
Remove and re-add indicator to reset for a new trade setup
🔧 Settings
Risk:Reward - Set your desired R:R for automatic target calculation
Table Position - Choose from 9 positions
Table Size - Tiny, Small, Normal, or Large
True ADR% (Range/Close) / ATR / LoD dist. / Market CapHi guys
Couldn't find the script of my dreams and therefore adapted some existing ones I found from the users MikeC (AKA TheScrutiniser) & armerschlucker.
Notes on formulas used in this script:
// ADR% is calculated using the standard definition: 100 * SMA(High - Low, N) / Close
// (average daily range in points over N daily bars, normalized by the current daily close).
// ATR is standard Wilder ATR: ta.atr(N) computed on daily bars.
// LoD dist. is the distance from current close to today’s low, expressed as a % of daily ATR:
// 100 * (Close - Low) / ATR.
// All three metrics are forced to daily bars via request.security(..., "D", ...), so they stay consistent
// regardless of the chart timeframe.
Hope it helps. Please provide feedback in case I made errors.
Institutional Cycle Intelligence SystemInstitutional Cycle Intelligence System: Architecture, Algorithms, and Application:
Abstract
The Institutional Cycle Intelligence System (ICIS) version 2.0 is a sophisticated Pine Script indicator designed to bridge the gap between retail technical analysis and quantitative hedge fund methodologies. Unlike standard oscillators (RSI, MACD) that rely on fixed lookback periods, ICIS utilizes Digital Signal Processing (DSP) and spectral analysis to dynamically identify, extract, and synthesize market cycles. This document details the system’s specialty, the mathematical underpinnings of its seven algorithms, and a strategic guide for its application in trading.
Part 1: The Specialty & Philosophy
1.1 The Problem with Static Indicators
Traditional technical indicators suffer from a fatal flaw: Stationarity Assumption. A 14-period RSI assumes the market’s "rhythm" is consistently relevant to 14 bars. However, financial markets are non-stationary; cycle lengths expand and contract based on volatility, liquidity, and macroeconomic events. A market might be oscillating on a 10-day cycle one month and shift to a 24-day cycle the next. Static indicators fail to adapt to these phase shifts, leading to false signals.
1.2 The ICIS Solution: Adaptive Spectral Analysis
The ICIS allows traders to visualize the market not as a linear trend, but as a composite of waves (frequencies). Its specialty lies in its "Ensemble Approach." Rather than relying on a single mathematical model, ICIS runs seven distinct advanced cycle detection algorithms simultaneously.
1.3 The "Intelligent" Consensus Engine
The core innovation of this script is the Intelligent Mode. It does not simply average the outputs of the seven models. Instead, it employs an adaptive weighting mechanism:
Normalization: It converts the raw output of each model into a standardized Z-score (standard deviation units) to ensure apples-to-apples comparison.
Scoring: It calculates a "Consistency Score" for each model. If a model is producing erratic, noisy signals, its weight is reduced. If a model detects a high-amplitude, clean sine wave, its weight is increased.
Synthesis: It fuses these weighted inputs into a single "Composite Signal" that represents the highest probability cycle currently driving price action.
Part 2: Algorithmic Deep Dive
The ICIS incorporates seven distinct methodologies drawn from physics, engineering, and econometrics. Understanding these algorithms is key to trusting the signals.
2.1 Ehlers Bandpass + Hilbert Transform
Origin: Digital Signal Processing (DSP).
The Logic: This model acts like a radio tuner. It filters out low-frequency trends and high-frequency noise, isolating a specific bandwidth of market data.
The Mechanism:
Bandpass Filter: Allows only frequencies within the user-defined cycle ranges (Short, Medium, Long) to pass through.
Hilbert Transform: A mathematical operation that shifts the signal by 90 degrees to create an analytic signal. This allows for the precise calculation of the instantaneous phase (where we are in the wave) and amplitude (how strong the wave is).
Strength: Excellent for identifying clean, sine-wave-like market behavior in ranging markets.
2.2 MESA Adaptive Cycle (Maximum Entropy Spectral Analysis)
Origin: Geophysical oil exploration.
The Logic: MESA provides high-resolution frequency estimation even when the data sample is short (a common limitation in trading).
The Mechanism: It uses a "Homodyne Discriminator." It measures the phase change of price relative to itself over time. By calculating the rate of phase change, it derives the dominant cycle period.
Strength: Highly responsive to rapid changes in market cycle length. It adapts faster than Fourier-based methods.
2.3 Autocorrelation Periodogram
Origin: Statistical Time Series Analysis.
The Logic: Markets often rhyme. Autocorrelation measures the similarity of the price series to a lagged version of itself.
The Mechanism: The script runs a loop testing lags from 5 to 150 bars. If price today correlates highly with price 20 days ago, it identifies a 20-day cycle.
Strength: The most robust method for confirming that a cycle actually exists physically, rather than being a mathematical artifact.
2.4 Empirical Mode Decomposition (EMD)
Origin: The Hilbert-Huang Transform (NASA).
The Logic: Markets are non-linear and non-stationary. EMD does not force data into sine waves (like Fourier). instead, it treats price like a rope made of different strands.
The Mechanism:
Sifting: It identifies local highs and lows to create upper and lower envelopes.
Mean Extraction: It subtracts the mean of these envelopes from the data to extract an "Intrinsic Mode Function" (IMF).
Residuals: It repeats this process to separate high-frequency noise (Short Cycle) from medium variations and long-term trends.
Strength: The "Holy Grail" of adaptive analysis. It handles trend reversals and sudden volatility spikes better than any linear filter.
2.5 Goertzel Power Spectrum
Origin: Telecommunications (used in decoding touch-tone phone sounds).
The Logic: A highly optimized version of the Discrete Fourier Transform (DFT). It scans specific frequencies to see which one has the most "Power" (Energy).
The Mechanism: The script calculates the Goertzel energy for various periods. The period with the highest energy is deemed the "Dominant Cycle" and is used to drive the oscillator.
Strength: Extremely precise at identifying the exact length of the current cycle (e.g., distinguishing between a 20-day and a 22-day cycle).
2.6 Singular Spectrum Analysis (SSA)
Origin: Meteorology and climatology.
The Logic: SSA decomposes a time series into principal components: Trend, Oscillatory (Cycle), and Noise.
The Mechanism: While a full SSA requires heavy matrix algebra (difficult in Pine Script), this implementation simulates SSA using weighted lag windows to separate eigen-components. It reconstructs the time series using only the oscillatory components.
Strength: Unrivaled noise reduction. It produces the smoothest "zero-lag" oscillators in the system.
2.7 Wavelet Multi-Resolution Analysis
Origin: Quantum Physics and Image Compression.
The Logic: Standard Fourier analysis loses time information (it tells you a frequency exists, but not when). Wavelets analyze both Frequency and Time simultaneously.
The Mechanism: The script passes price through a cascade of high-pass and low-pass filters (Haar-like decomposition).
Detail Coefficients: Capture high-frequency noise and short cycles.
Approximation Coefficients: Capture the underlying trend and long cycles.
Strength: Excellent for identifying "regime changes" where the market shifts from trending to ranging.
Part 3: Using the Code & Interface
3.1 Input Parameters
Model Selection: Defaults to "Intelligent" (recommended). You can switch to individual models (e.g., "EMD") to isolate their specific view.
Cycle Period Ranges:
Short (5-20): Captures swing trading noise and rapid reversals.
Medium (20-50): The primary swing cycle (often aligns with monthly flows).
Long (50-150): The structural trend cycle.
Advanced Settings:
Bandwidth (0.3): Controls how "wide" the filter is. Lower values = cleaner but lagging; Higher values = noisier but faster.
Signal Threshold (0.5): The level the oscillator must breach to be considered a "Strong" signal.
3.2 Visual Components
The Oscillators (Main Chart):
Red Line (Short): The fast heartbeat of the market.
Teal Line (Medium): The tradeable swing.
Blue Line (Long): The tidal direction.
Purple Line (Composite): The weighted average of all cycles. This is your primary trigger.
The Info Table: Displays the current exact period (in bars), phase (in degrees), and trend direction for all three cycle tiers. It also shows the "Confluence Score" (how many cycles agree).
Background Color: Changes dynamically based on cycle alignment.
Green: Bullish Confluence (2 or 3 cycles pointing up).
Red: Bearish Confluence (2 or 3 cycles pointing down).
Part 4: Trading Strategy & Application
The ICIS is designed to identify Turning Points and Trend Continuations.
4.1 The "Phasing" Concept
Understanding Phase is crucial. The script calculates phase in degrees (0° to 360°):
0° - 90° (Accumulation): The cycle has bottomed and is accelerating upward. Best time to enter.
90° - 180° (Markup): The cycle is mature but still rising. Hold positions.
180° - 270° (Distribution): The cycle has topped and is accelerating downward. Best time to short/sell.
270° - 360° (Decline): The cycle is mature in its downtrend. Hold shorts or cash.
4.2 Trade Setups
Setup A: The "Triple Confluence" Entry (Trend Following)
This is the safest signal, indicating all distinct time horizons are aligned.
Condition: The Short, Medium, and Long cycle lines are ALL sloping upwards.
Visual: Background turns bright Green.
Trigger: The Composite (Purple) line crosses above the Signal Threshold (+0.5).
Exit: When the Short Cycle (Red) crosses below the Medium Cycle (Teal).
Setup B: The "Cycle Bottom" (Reversal)
This catches the absolute low of a move.
Condition: The Long Cycle (Blue) is trending UP (Trend support).
Trigger: The Composite line is deeply negative (below -0.8) and crosses back ABOVE zero.
Validation: Wait for the "Cycle Bottom" circle marker to appear on the chart.
Stop Loss: Below the recent swing low.
Setup C: The "Divergence" Play (Advanced)
Condition: Price makes a Lower Low.
Indicator: The Composite Oscillator makes a Higher Low.
Logic: Momentum on the cyclical level is shifting bullish despite price action.
Execution: Enter on the first candle where the Composite line turns green (slopes up).
4.3 Interpreting the Information Table
The table is your dashboard.
Period: If the "Medium Period" is drastically changing (e.g., jumping from 20 to 50), the market is in a chaotic transition. Reduce position size.
Strength: Shows the cycle amplitude. If Strength < 20%, the market is chopping/sideways. Do not trade trend strategies. If Strength > 60%, the cycle is dominant; use aggressive targets.
Part 5: Optimization & Best Practices
5.1 Timeframes
While the math works on any timeframe, ICIS is computationally heavy and optimized for:
4H / 1D: Best for Swing Trading. The cycle periods (20-40 bars) align well with monthly/quarterly flows.
15m / 1H: Good for Intraday, but requires adjusting the "Short Cycle" inputs to be more sensitive (e.g., Min 5, Max 15).
5.2 Handling "Repainting" vs. "Recalculation"
This script uses max_bars_back and causal filters where possible. However, EMD and SSA are inherently adaptive.
Fact: The Phase calculation uses the Hilbert Transform, which requires a few bars of future data to be perfectly precise (theoretical limit).
Mitigation: The script uses a causal approximation of the Hilbert Transform (nz(src ) etc.) to minimize repainting.
Rule: Do not trade on the current forming bar. Wait for the bar to close to confirm the cycle direction.
5.3 Combining with Price Action
ICIS tells you the Time (When to trade), but Price Action tells you the Level (Where to trade).
Use ICIS to time the entry.
Use Support/Resistance or Supply/Demand zones to place the order.
Example: Price hits a Demand Zone + ICIS signals "Cycle Bottom" + Confluence turns Green = High Probability Trade.
Conclusion
The Institutional Cycle Intelligence System version 2.0 represents a paradigm shift from lagging indicators to predictive cycle modeling. By intelligently fusing seven different mathematical models, it cancels out the weaknesses of individual algorithms (like EMD's end-effect issues or Fourier's spectral leakage).
Summary of Workflow:
Check the Table: Is Cycle Strength high? Are cycles aligned?
Check the Background: Is it Green (Bullish) or Red (Bearish)?
Wait for the Composite Trigger: Cross of Zero or Cross of Threshold.
Execute: With defined risk based on market structure.
This tool provides the retail trader with the "X-Ray vision" into market structure typically reserved for quantitative trading desks.
banks: basic plan compatible 🌟 Banking Basket Analysis v5.9 (Vol/RSI Always ON) – Works perfectly on FREE/Basic plan! 🌟
Only 14 security calls – super low, no lag, fully compatible with TradingView basic accounts.
Track strength in US & EU banks instantly:
• Basket MA crossover signals (strong/medium/weak) with labels
• Always-active Volume + RSI confirmation (shows • dot on active stocks)
• Live table: 14 major banks (JPM, BAC, GS, INGA, HSBA etc.) with price, % change & signals
• Main chart MAs, buy/sell arrows, Bollinger Bands, Supply/Demand zones, high-volume alerts, USD trend arrows & index tracker
Perfect for trading bank stocks or indices. Add to any chart – clean, fast, reliable.
Try it now – completely basic-plan friendly!
Add this script to any chart (works best on bank stocks, XLF, EUFN or indices).
Key features you’ll see:
• Top-right table: lists all 14 banks with current price, daily % change, MA signal (S/M/W Buy/Sell) and white • dot when Volume+RSI confirms momentum.
• Chart labels: “Xs USs/EUs” etc. show basket strength + count of stocks with Vol/RSI signal.
• Green/blue lines = EU/US basket MAs.
• Standard MA cross buy/sell arrows, background color, BB, S/D zones, volume alerts & USD trend arrows all active by default.
“Note: white dot ⚪️ rsi in table has to be checked on it’s specific ticker chart for sell or buy rsi.”
This is a completely free invitation script. Everyone out there (probably the few who notice) is invited 🙂. Works with basic plan security call limits.
[The purpose of this scrip is most intended as a basic industry sector screener, it's not a multi layer confluence or price projection aid.
"Buy and Sell labels are only standard moving average theories and should not be taken as prompts alone".
