Trend Analizi
ARM-EMA COLOR BUY SELLPrice action trading is about reading what the market is doing, so you can deploy the right trading strategy to reap the maximum benefits. In simple words, price action is a trading technique in which a trader reads the market and makes subjective trading decisions based on the price movements, rather than relying on technical indicators or other factors.
At its most simplistic, it attempts to describe the human thought processes invoked by experienced, non-disciplinary traders as they observe and trade their markets. Price action is simply how prices change - the action of price. It is most noticeable in markets with high liquidity and price volatility, but anything that is traded freely (in price) in a market will per se demonstrate price action.
ARM-EMA TREND BARSPrice action trading is about reading what the market is doing, so you can deploy the right trading strategy to reap the maximum benefits. In simple words, price action is a trading technique in which a trader reads the market and makes subjective trading decisions based on the price movements, rather than relying on technical indicators or other factors.
At its most simplistic, it attempts to describe the human thought processes invoked by experienced, non-disciplinary traders as they observe and trade their markets. Price action is simply how prices change - the action of price. It is most noticeable in markets with high liquidity and price volatility, but anything that is traded freely (in price) in a market will per se demonstrate price action.
ORB Breakout & RetestORB Breakout & Breakdown Indicator - Complete Opening Range Strategy
Description :
The ORB (Opening Range Breakout) Breakout & Retest Indicator is a simple tool designed to identify opening range breakouts and breakdowns with retest confirmation. This indicator works on ANY timeframe while automatically analyzing 1-minute price action to detect precise entry signals.
What makes this indicator unique:
- ✅ Multi-Timeframe ORB Analysis - Simultaneously tracks 5-min, 15-min, and 30-min opening ranges
- ✅ Smart Retest Logic - Filters false breakouts by requiring price to retest and confirm the level
- ✅ Works on Any Chart Timeframe - View on 5-min, 15-min, 1-hour, or daily charts while getting 1-minute precision
- ✅ Both Long & Short Signals - Detects bullish breakouts AND bearish breakdowns
- ✅ Customizable Alerts - Get notified when confirmed setups occur
- ✅ Clean Visual Display - Compact table showing all ORB levels and signal status
How it Works:
Opening Range Detection :
- 5-Min ORB: Captures high/low from 9:30-9:35 AM
- 15-Min ORB: Captures high/low from 9:30-9:45 AM
- 30-Min ORB: Captures high/low from 9:30-10:00 AM
Breakout Confirmation (3-Step Process) :
1. Initial Break - Price closes above ORB High (or below ORB Low for shorts)
2. Retest - Price pulls back to retest the broken level
3. Confirmation - Price breaks through again, confirming the trend
This retest requirement dramatically reduces false signals and helps you enter trades with better risk/reward.
Perfect For :
- Day traders looking for opening range strategies
- Scalpers who need precise entry signals
- Swing traders identifying strong intraday momentum
- Anyone trading stocks, futures, forex, or crypto during market hours
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⚙️ Settings & Customization :
Display Options :
- ☑️ Show ORB High (Default: OFF) - Display the high of each opening range in the table
- ☑️ Show ORB Low (Default: OFF) - Display the low of each opening range in the table
- ☑️ Show Breakout+Retest (Default: ON) - Show bullish breakout confirmation status
- ☑️ Show Breakdown+Retest (Default: ON) - Show bearish breakdown confirmation status
Alert Options :
- ☑️ Enable 5-Min Alerts (Default: OFF) - Get alerts for 5-minute ORB confirmations
- ☑️ Enable 15-Min Alerts (Default: OFF) - Get alerts for 15-minute ORB confirmations
- ☑️ Enable 30-Min Alerts (Default: OFF) - Get alerts for 30-minute ORB confirmations
Visual Indicators :
- Green triangles (▲) below bars = Breakout confirmed (bullish)
- Red triangles (▼) above bars = Breakdown confirmed (bearish)
- Triangle sizes: Tiny (5-min), Small (15-min), Normal (30-min)
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Table Legend:
Timeframe Row: Shows the three ORB periods being tracked
ORB High Row: (Optional) The highest price during each opening range period
ORB Low Row: (Optional) The lowest price during each opening range period
Breakout+Retest Row:
- 🟢 YES = Bullish setup confirmed (price broke high, retested, and confirmed)
- 🔴 NO = No confirmed bullish setup yet
- ⚪ N/A = Opening range not yet established
Breakdown+Retest Row:
- 🟢 YES = Bearish setup confirmed (price broke low, retested, and confirmed)
- 🔴 NO = No confirmed bearish setup yet
- ⚪ N/A = Opening range not yet established
How to Use :
1. Add to Chart - Works best on stocks, futures, and indices with regular market hours (9:30 AM EST open)
2. Choose Your Timeframe - View on any timeframe; indicator automatically analyzes 1-minute data
3. Monitor the Table - Watch for "YES" signals in Breakout or Breakdown rows
4. Set Alerts - Enable alerts for your preferred ORB timeframes
5. Plan Your Trade - Use ORB levels as entry points and initial stop-loss levels
Tips :
- Combine multiple timeframe confirmations for higher probability setups
- Use ORB High/Low levels as natural support/resistance zones
- The 5-min ORB gives faster signals; 30-min ORB gives stronger trends
- Best results typically occur in the first 1-2 hours after market open
- Works on all markets but optimized for regular trading hours (9:30 AM EST)
Key Features Summary :
✓ Multi-timeframe opening range tracking (5, 15, 30-minute)
✓ Retest confirmation logic to filter false breakouts
✓ Works on any chart timeframe with 1-minute precision
✓ Bullish and bearish signal detection
✓ Customizable visual display with toggle options
✓ Individual alerts for each timeframe and direction
✓ Clean, professional table interface
✓ No repainting - signals are final once confirmed
✓ Suitable for all experience levels
Daily SMA 20/50/100/200Simple Moving Averages indicator displaying four commonly used trend lines on the price chart. Plots the 20, 50, 100, and 200 period SMAs to help identify short-, medium-, and long-term trend direction, dynamic support and resistance, and overall market structure. Color-coded for clarity: 20 SMA in green, 50 SMA in blue, 100 SMA in orange, and 200 SMA in red, with uniform line thickness for clean visual consistency.
MA Cross + Trend Stats (Probabilistic)Short description (one-liner)
A MA-regime framework with historical regime stats + forward performance + optional trend/noise filters for trending context.
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Full description (TradingView-ready)
Overview
This indicator turns a classic Moving Average Cross into a regime-based trend dashboard. Instead of treating a cross as a standalone “buy/sell” event, it measures what historically happened after similar regime shifts on the current symbol and timeframe, and displays the results in a compact table.
It supports:
• EMA or SMA
• Custom fast/slow lengths (including .5 lengths via floor/ceil averaging)
• Optional trend quality filters for trending decisions:
o Slope filter (Slow MA slope)
o Market noise filter using Efficiency Ratio (ER) in real time
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What the table shows (how to read it)
The table has two rows: Bull (Fast > Slow) and Bear (Slow > Fast). Metrics are computed on completed regimes (historical segments that already ended).
N
Number of completed regimes measured. More samples generally means more stable estimates.
μ Δ% / Med Δ%
Average and median regime return from regime start to regime end. Median helps reduce the impact of outliers.
⏱ Bars
Average regime duration (in bars). Useful to calibrate realistic holding expectations for trending.
⬆ MFE% / ⬇ MAE%
• MFE (Maximum Favorable Excursion): max move in favor during the regime
• MAE (Maximum Adverse Excursion): max move against during the regime
These are context metrics for typical run-up and typical heat.
ER μ | Hit
Trend-quality proxy:
• ER μ: average Efficiency Ratio during regimes (0–1, higher = more directional / less noisy)
• Hit: % of regimes with ER above the historical threshold you set
Forward performance (+H μ|Hit)
For two user-defined horizons (e.g., +10 / +20 bars):
• μ: average forward return after the cross
• Hit: probability (%) that the forward return was positive
This is designed to provide probabilistic context, not certainty.
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“Trending” decision filters (optional)
These filters apply to signals/alerts/markers, not to the raw regime statistics:
1. Slope filter (Slow MA):
Only allow Bull signals if the Slow MA slope is positive (and Bear signals if negative).
2. Market noise filter (ER realtime):
Only allow signals when current ER exceeds your chosen threshold (helps avoid choppy conditions).
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Suggested usage (educational)
• Treat Bull/Bear as a regime label (state), not a prediction.
• Use Forward Hit% as an estimate of historical frequency, not a guarantee.
• If ER realtime is below threshold, consider it a noisier environment (higher whipsaw risk).
• Combine with your own risk rules and confirmation (structure, volatility, volume, HTF context, etc.).
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Notes
• Results depend on symbol, timeframe, and loaded history.
• Statistics are historical summaries and can change as more data becomes available.
• This tool is intended for research and decision support, not as standalone trade advice.
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Disclaimer
This script is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading involves risk. You are responsible for your own decisions and risk management.
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure.
It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment.
█ USAGE
MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned?
For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates.
For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail.
🔹 The 4-State Model
The indicator classifies markets into four distinct regimes:
• Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation.
• Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion.
• Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing.
• Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals.
🔹 Reading the Pressure Histogram
The histogram displays the composite Pressure Score (range approximately -100 to +100):
• Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported.
• Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained.
• Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise.
🔹 The 5-Stage Calculation
MPR synthesizes five analytical stages into the final state:
1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price.
2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop.
3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption.
4. Composite Pressure: Combines follow-through and compression into a single directional score.
5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering.
█ SETTINGS
Core Settings
• ATR Length: Period for volatility normalization. Default 14.
• Baseline Lookback: Period for compression and efficiency baselines. Default 20.
• Volume Average Length: Period for stress calculation baseline. Default 20.
State Classification
• Release Threshold: Pressure score above this = Release. Default +5.
• Suppressed Threshold: Pressure score below this = Suppressed. Default -5.
• Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30.
• Persistence Bars: Bars required to confirm state change. Default 3.
• Stability Lookback: Period for stability calculation. Default 20.
• Stability Threshold: Below this = forced Transition state. Default 0.5.
Visual Settings
• Show Pressure Histogram: Display the main pressure score histogram.
• Show Zero Line: Display the zero reference line.
• Show Background Tint: Subtle background color by state (default OFF).
Data Window
• Show Data Window Values: Export all calculated scores for analysis.
█ INTERPRETATION GUIDE
When to Use Trend Strategies (Release):
• Histogram tall and positive
• Teal coloring confirmed
• Price making efficient higher highs or lower lows
When to Use Mean Reversion (Suppressed):
• Histogram flat or negative
• Grey coloring confirmed
• Price oscillating without follow-through
When to Wait (Transition):
• Amber coloring
• Mixed signals — don't force trades
• Wait for state to resolve
When to Expect Reversals (Trap):
• Magenta coloring
• High volume moves that don't stick
• Often occurs at structural inflection points
█ COMPLEMENTARY TOOLS
MPR pairs well with:
• Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime
• Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection
• Market Efficiency Ratio (MER) — Validates follow-through quality
█ SUITABLE MARKETS
Works across all liquid markets:
• Equities: SPY, QQQ, liquid single stocks
• Futures: ES, NQ, CL, GC
• Crypto: BTC, ETH
• Forex: Major pairs
Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions.
█ OPEN SOURCE
This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Mod_Capital-Fibo🔥 Mk_Suhropbek_Fibo — Smart Fibonacci Trading Tool 🔥
Everyone draws Fibonacci.
Only professionals use it correctly.
💎 Mk_Suhropbek_Fibo is an automated Fibonacci indicator that analyzes real market structure and displays only high-probability levels.
📊 How it works:
— Analyzes the last 100 candles
— Automatically detects market trend (BUY / SELL)
— Draws Fibonacci levels in the correct direction
— Clearly marks 0 / 0.236 / 0.382 / 1 / 1.618 (TP)
⏱ Designed for H1 and higher timeframes
✔️ No noisy scalping
✔️ Clean and readable charts
✔️ Suitable for real accounts and prop firms
🔄 Updates only every 25 bars
— Keeps the chart clean
— No constant redrawing
— Focus on quality setups, not quantity
🎯 One setup = a complete trading scenario
— Clear structure
— Logical profit target (1.618)
— No counter-trend trades
📈 Proven market logic
— No overfitting
— Reusable, consistent behavior
— Discipline over emotions
🧠 Who is this indicator for?
✔️ Traders who use Fibonacci seriously
✔️ Those tired of guessing where to draw fib levels
✔️ Traders who treat trading as a business
🚫 No random entries
✅ Clear system
✅ Structured trading
📌 Mk_Suhropbek_Fibo — not prediction, but calculation.
BigLot Quantum SuperTrend V1BigLot Quantum SuperTrend V1 is a trend-following indicator that enhances the traditional SuperTrend by integrating statistical volume analysis.
The script combines an ATR-based SuperTrend engine with Kernel Density Estimation (KDE) applied to relative buy and sell volume. Volume behavior is modeled statistically, allowing the indicator to filter breakout signals and activate only when volume conditions show high probability compared to historical data.
Bullish and bearish signals are generated when price crosses the SuperTrend line and the corresponding volume probability exceeds a user-defined threshold. This approach helps reduce false signals during low-liquidity or sideways market conditions.
The script includes visual trend highlighting, probability-based confidence filtering, and a real-time dashboard displaying trend direction, volume strength, and signal status. It is designed to work across all markets and timeframes without repainting.
VLB Cycle Market ToolThe VLB Dynamic Levels Tool provides a visual framework for observing price structure on XAUUSD.
It displays automatically generated levels based on a rules-based approach, allowing traders to study how price interacts with important reference areas on the chart.
The tool updates dynamically as market structure evolves, reflecting changes in price movement without requiring manual redrawing.
Its purpose is to offer a clear, consistent layout of structural levels that users can incorporate into their own market analysis.
Features:
Automatically displayed structural reference levels
Dynamic recalculation as new highs and lows form
Neutral, non-predictive visual layout
A consistent framework for studying price behavior
This tool does not generate trading signals or provide predictive information.
It simply organizes price structure into visual reference points that may assist users in their independent chart analysis.
Traders remain fully responsible for their own interpretation, timing, and risk management.
The VLB Dynamic Levels Tool is intended for those who prefer a clean and adaptable way to observe XAUUSD structure throughout changing market conditions.
VLB Dynamic Market Structure ToolAdaptive Structural Continuation Framework for XAUUSD
The VLB Dynamic Market Structure Tool is a proprietary, rules-driven market structure framework designed specifically to analyze price continuation behavior in XAUUSD under live market conditions.
This tool does not plot static support and resistance.
Instead, it provides a continuously adapting structural model that reorganizes itself around current price, allowing traders to observe acceptance, rejection, and expansion behavior between key structural zones.
Core Conceptual Foundation
The framework is built on three integrated components that work together as a single methodology:
1. Dynamic Price-Anchored Structural Range
Unlike traditional indicators that rely on fixed historical levels, this tool anchors its entire structural range to live market price.
As price migrates:
Levels that are no longer relevant are automatically removed
New forward-relevant levels are introduced
The framework re-centers itself around active price action
This ensures that the trader is always viewing current, actionable structure, without manual redrawing or chart repositioning.
2. Evenly Spaced Structural Reference Levels
Within the dynamically anchored range, price is organized into consistent structural intervals that frequently act as transition points in XAUUSD price behavior.
These levels serve as objective reference boundaries, allowing traders to:
Compare reactions across identical structural distances
Observe recurring price behavior in a normalized framework
Maintain consistency across different sessions and market conditions
The levels are contextual, not predictive.
3. Post-Break Acceptance & Expansion Zones
The framework distinguishes between:
Initial structural breaks that fail or retrace
Confirmed acceptance beyond a defined offset from the level
Expansion phases as price transitions toward the next structural interval
By visualizing this sequence, the tool allows traders to study continuation behavior only after confirmation, rather than reacting to first-touch or initial breakouts.
Adaptive Behavior (Why This Is Not Static S&R)
A defining feature of the VLB Dynamic Levels Tool is its continuous recalculation and real-time adaptation:
The visible structure evolves with price
The framework moves up or down as market conditions change
Historical clutter is intentionally removed to preserve clarity
The trader’s focus remains on the active trading environment
This adaptive behavior is integral to the methodology and cannot be replicated through manual drawing or static indicators.
Intended Use
This tool is designed for discretionary traders who:
Study market structure, acceptance, and momentum
Prefer confirmation-based continuation frameworks
Value rule-based consistency over subjective interpretation
Combine structural context with their own execution, fundamentals, and risk management
The indicator does not generate automated buy or sell signals and does not execute trades.
Important Disclosures
No performance or outcome is guaranteed
No predictive claims are made
All trading decisions remain the responsibility of the user
Summary
The VLB Dynamic Levels Tool provides a self-adjusting, structurally consistent framework for observing how XAUUSD price transitions between key zones in real time.
Its proprietary value lies in the integration of dynamic price anchoring, structural normalization, and post-break acceptance visualization, offering a methodical way to study continuation behavior in changing market conditions.
CGM - Options Trial [Basic] - by ChartGptMarathiCGM - Options Premium Trial - by ChartGptMarathi
Description:
The CGM - Options Premium Trial is the introductory version of the advanced CGM Sniper suite, designed specifically for Option Buyers who need clarity in a chaotic market.
This indicator allows you to plot and compare Call (CE) and Put (PE) option charts simultaneously on a single pane, providing a direct view of premium behavior without switching tabs. It includes essential trend-following tools to help you identify momentum shifts instantly.
Key Features:
Dual Charting: Visualizes both Call and Put option candles on one screen for real-time comparison.
Trend Confirmation: Includes a built-in 8 EMA to gauge short-term momentum.
Volume Analysis: Integrated VWAP (Volume Weighted Average Price) for institutional level tracking.
Spot Tracking: Monitors the underlying Spot symbol (e.g., NIFTY/BANKNIFTY) data for better context.
Visual Clarity: Clean, color-coded candles (Green/Red) with customizable widths and visibility toggles.
How to Use:
Add the indicator to your chart.
In the settings, select your Call (CE) and Put (PE) symbols (e.g., NIFTY24000CE, NIFTY24000PE).
Select the Spot Symbol (e.g., NSE:NIFTY) for underlying data reference.
Use the EMA and VWAP lines to determine trend direction. If the premium price is above both lines, the momentum is bullish for that option.
Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial advice. Trading options involves significant risk. Please perform your own due diligence before executing any trades.
All rights reserved with ChartGptMarathi. For any feedback or support, contact at: chartgptmarathi@gmail.com
Dynamic EMA Trend Table [Customizable]Overview
The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance.
How It Works
This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status:
Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable).
Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable).
This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors).
Key Features
Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings).
Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution.
Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart.
Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below.
Settings & Configuration
Price Source: Select Close, High, Low, etc. (Default is Close).
Table Position & Size: Customize where the dashboard appears.
EMA Lengths: Set your 5 preferred lookback periods.
Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly).
Use Case Example
Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering.
Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
Swing Master by Pooja📘 Swing Master by Pooja
Invite-Only | Rule-Based Swing & Trend Structure Indicator
🔍 What this indicator is
Swing Master by Pooja is a rule-based technical analysis indicator designed to help traders identify high-quality swing opportunities within an established trend structure.
This script is not a trading strategy.
It does not execute trades and does not provide fixed targets or stop-loss levels.
Instead, it functions as a decision-support tool.
Visual signals appear only on confirmed candles, and only when trend structure, momentum, and market participation align together.
The core objective of this indicator is filtering low-quality market conditions and avoiding random entries, not generating frequent signals.
🎯 Intended Trading Use
This indicator is intended for traders who:
Trade trend-based swings and pullbacks
Prefer structure-aligned entries instead of chasing price
Want multi-factor confirmation before acting
Apply their own execution and risk-management rules
Applicable on:
Indices
Stocks
Futures
Intraday & higher-timeframe swing charts
🧠 Why this is NOT a simple indicator mashup
Although Swing Master uses EMA, RSI, Volume, and multi-timeframe context, each component serves a distinct and non-overlapping role.
No indicator is used to confirm itself, and no single condition can trigger a signal independently.
Signals are generated only when all required structural and momentum conditions align together on a confirmed bar, reducing noise and hindsight bias.
🔹 EMA Structure (50 / 100 / 200)
Defines trend hierarchy and market structure
Strictly filters trades in the dominant trend direction
Identifies pullback zones, not breakout points
EMA stacking is used to determine structural bias, not direct entries.
🔹 Pullback-Tolerance Logic (Key Original Component)
Instead of requiring exact EMA touches, the script applies a tolerance-based pullback zone around EMAs.
This allows:
More realistic swing entries
Fewer missed opportunities
Reduced noise compared to rigid EMA rules
This pullback-zone evaluation is custom-designed and central to the indicator’s behavior.
🔹 RSI Momentum Filter
Ensures pullbacks occur with momentum acceptance
Filters entries during weak or exhausted moves
Helps avoid counter-trend traps
RSI is used strictly as a momentum-quality filter, not as a standalone signal.
🔹 Volume Participation Filter
Confirms that price movement has market participation
Filters signals during low-interest or weak-volume phases
Helps avoid false continuation attempts
🚦 Signal Types Explained (Rule-Specific & Non-Repeating)
Each visual signal represents a distinct market condition, not repeated logic.
▸ sb — Swing Buy
Trend-aligned pullback near EMA structure
RSI confirms momentum
Volume confirms participation
▸ FS — Future Sell
Mirror logic of Swing Buy
Appears only in established downtrends
▸ SB / SS — Strong Buy / Strong Sell Zones
Price acceptance above or below all EMAs
Indicates strong directional control
Plotted only on the first bar of zone entry (no repetition)
▸ GB / GS — Golden Buy / Golden Sell
EMA 100 / EMA 200 crossover
Represents a structural trend transition
Appears only on confirmed crossovers
Each signal type follows its own independent rule-set.
📊 Multi-Timeframe Dashboard (Context Only)
The optional dashboard provides:
Trend state across higher timeframes
Top-down market context for directional bias
The dashboard is informational only and does not generate signals.
🔔 Alerts
Alert conditions are available for all signal types.
Alerts trigger only on confirmed candles and are intended to support manual analysis, not automated trading.
🔐 Why Invite-Only & Closed-Source
Swing Master incorporates:
Stateful signal control
Multi-condition validation
Non-repeating signal logic
Custom pullback-zone evaluation
The source code is protected to preserve the internal interaction, sequencing, and state management logic, not to conceal commonly known indicators.
⚠ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice and does not guarantee results.
All trading decisions, execution, and risk management remain entirely the user’s responsibility.
Smart Triangles & S/R SystemOverview This indicator is a comprehensive technical analysis tool designed to automatically identify dynamic chart patterns and institutional support/resistance structures. Its primary focus is on detecting valid Triangle Patterns (Symmetrical, Ascending, Descending) and identifying high-probability breakout zones using a proprietary "Smart Apex" algorithm.
Why is this script Protected? This script utilizes a unique, custom-built algorithm called "Smart Start & Apex Validation". Unlike standard pivot-based indicators, this system dynamically recalculates the starting points of trendlines to exclude false wicks and noise (Smart Start). Furthermore, it employs a geometric validation logic that calculates the exact intersection point (Apex) of the trendlines to ensure the triangle exists in the future and has not already invalidated itself mathematically. Due to the complex and proprietary nature of these calculation methods and the specific filtering logic for "Fresh" vs. "Broken" horizontal levels, the source code is protected to maintain the integrity of the strategy.
Key Features
Smart Triangle Detection:
Uses Pivot Highs/Lows to draw trendlines.
Smart Start Logic: Automatically shifts the trendline start point if a candle body violates the slope, ensuring lines "hug" the price action correctly.
Apex Validation: Ensures lines are converging and the intersection point is valid.
Institutional S/R Levels:
Automatically plots horizontal Support and Resistance levels based on historical pivot clusters.
Distinguishes between Fresh Levels (Untouched) and Broken Levels (flipped S/R), color-coded for visual clarity.
Dynamic Targets:
Projects breakout targets based on the triangle's opening height (Base).
Target Memory: Once a breakout occurs, the target remains fixed on the chart until a completely new pattern invalidates it, allowing traders to track the trade lifecycle.
How to Use
Trendlines: Look for price compression between the Red (Resistance) and Green (Support) dotted lines.
Breakouts: Wait for a candle close outside the triangle structure. The indicator will generate a "Target Flag" indicating the potential price objective.
Confluence: Use the horizontal S/R lines as confirmation for entry or stop-loss placement.
Settings
Triangles: Adjust pivot lengths to catch larger or smaller structures. Toggle "Smart Start" for cleaner lines.
Slope Rules: Filter out weak patterns by enforcing minimum slope requirements.
S/R Zones: Customize the lookback period and visibility of horizontal levels.
Development & Feedback I am actively developing this tool to make it the definitive structure indicator. I highly value community feedback. Please leave your suggestions or feature requests in the comments section below. I read all feedback to improve future versions.
Disclaimer: This tool is for educational purposes and assists in technical analysis. Past performance is not indicative of future results.
Session Breakout TrackerThis indicator identifies breakout opportunities when price breaks previous session ranges, tracking 4 distinct breakout chains:
Asia → London (Primary Asia breakout during London session)
London → NY (London breakout during NY session)
NY → Asia (NY breakout during next Asia session)
Asia → NY* (Fallback Asia breakout during NY if Chain 1 had no breakout)
For each breakout, it measures the maximum distance price travels before hitting your defined stop-loss, providing exact pip/point calculations.
Features :
Automatic session detection (Asia: 18:00-03:00, London: 03:00-12:00, NY: 12:00-18:00 NYT)
Complete session range tracking - high/low for each session
Session level plotting with adjustable transparency
User Inputs :
Adjustable pip multiplier (0.0001 for Forex, 0.01 for JPY pairs)
Customizable stop-loss distance in pips
Toggle labels/table/session levels independently
Adjustable session duration for optimizing strategies and back testing
The Cantillon Institutional overlay (pro)🏛 Stop Trading the "Rearview Mirror." Start Tracking the Flow.
Most retail indicators (RSI, MACD, Moving Averages) suffer from a fatal flaw: they are derivatives of past price. They tell you what has already happened.
The Cantillon Institutional Overlay is different. It is designed to track the "First Receivers" of liquidity—the institutions, banks, and market makers who move the market—rather than the retail crowd chasing it.
Based on the economic principles of Richard Cantillon (18th Century), this tool visualizes the "Unfair Advantage" of the insider. It answers two critical questions:
Where is the true trend? (The Institutional Average)
Where is the trap? (The Statistical Extremes)
🛠 What is Inside?
This script combines three institutional data points into a single, clean overlay:
1. The Institutional Anchor (Cyan AVWAP) This is not a standard Moving Average. It is an Anchored Volume Weighted Average Price, typically anchored to the session or week open.
Logic: This represents the average entry price of the "First Receivers."
Signal: If Price > AVWAP, institutions are net long (Markup Phase). If Price < AVWAP, institutions are net short (Markdown Phase).
2. The Sigma Bands (Statistical Traps) Standard Deviation channels that adapt to volatility.
The Red Band (+2σ): The "Statistical Ceiling." When price hits this, it is mathematically over-extended. This is where institutions often offload positions into retail FOMO (The Trap).
The Green Band (-2σ): The "Statistical Floor." This is the buy zone for mean reversion.
3. Institutional Order Blocks Automatically highlights hidden zones of liquidity where resting orders are likely waiting. These act as "magnets" for price action.
🎯 How to Trade This
Strategy A: The Trend Follower
Rule: Only take Longs when price is above the Cyan AVWAP line.
Trigger: Wait for price to pull back to the Gray "Fair Value" zone and reject.
Strategy B: The Reversion Trader (The Fade)
Rule: Fade the extremes.
Trigger: If price hits the Red Sigma Band (+2σ) and volume dries up, the move is exhausted. We look for shorts back to the mean.
⚠️ Why "First Receivers"?
In the Cantillon Effect, money flows to the insiders first. By the time it trickles down to retail indicators, the move is often over. This overlay allows you to align your bias with the "House" rather than the "Gambler."
Recommended Setup: For the complete institutional view, pair this Overlay with The Cantillon CVD to confirm volume intent behind every move.
Disclaimer: This tool provides statistical analysis and does not guarantee profits. Past performance is not indicative of future results.
Exhaustion [Lite]EXHAUSTION — Lite is a simplified sequential exhaustion instrument based on a Hull Moving Average with a 9-count structure. It is designed to expose when continuation begins to weaken, not to call tops or bottoms. The Lite version shows local exhaustion pressure only (LTF/MTF).
What the Lite Version Shows
HMA-based trend state (Green / Red)
Sequential counting up to 9
Local exhaustion points in the current timeframe
What it does not include:
No higher-timeframe structure
No dashboard or multi-timeframe context
Those layers are intentionally removed.
How to Use (Lite Workflow) :
Core Idea :
Continuation weakens as the count progresses.
The higher the count, the less reliable continuation becomes.
Basic Reading
Counts 1–3 → early continuation
Counts 4–6 → trend aging
Counts 7–9 → exhaustion risk
A 9 marks pressure — not a guaranteed reversal.
Practical Usage :
Trend Context (Single Timeframe)
Stay aligned with the HMA color
Treat late counts (7–9) as risk, not signals
Avoid entering fresh positions late in the sequence
Timing Awareness
Exhaustion matters most near:
prior highs/lows
liquidity zones
session extremes
The Lite version is about awareness, not execution precision.
Important Note :
Exhaustion — Lite does not show higher-timeframe exhaustion or alignment.
Without HTF context, exhaustion should be treated as local pressure only. If you want: HTF interaction and a multi-time frame dashboard, that belongs to the Full indicator.
*This script doesn't constitute investment advice and isn't created solely for qualified investors.
RSS3 - Reversal Score System v3 [Rulph]RSS3 - Reversal Score System v3
RSS3 is a quantitative reversal detection system that combines volatility pressure analysis with directional momentum exhaustion to produce a unified reversal strength score from -1 (extreme bullish) to +1 (extreme bearish).
Unlike traditional single-indicator divergence systems (RSI, MACD), RSS3 cross-validates signals between two independent analytical engines (VPI and TDFI) and applies multi-timeframe contextual filtering to reduce false signals.
RSS3 is not a visual overlay of separate indicators. It implements a unified calculation pipeline where VPI and TDFI components feed into a single normalized Score through weighted aggregation. The divergence bonus system creates feedback loops where price-indicator relationships dynamically adjust the final Score, producing signals that cannot be replicated by simply viewing RSI, Bollinger Bands, and moving averages side-by-side.
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WHY COMBINE VOLATILITY + TREND FORCE?
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Most reversal systems rely on a single dimension:
• RSI divergence tracks momentum exhaustion
• Bollinger extremes track volatility expansion
• MACD divergence tracks trend deceleration
RSS3 recognizes that major reversals typically require both :
1. Volatility pressure buildup (market stretched beyond normal range)
2. Directional force exhaustion (trend losing momentum despite stretched price)
When VPI (volatility) and TDFI (trend force) diverge simultaneously from price, it signals a high-probability reversal zone. When only one diverges, the signal is weighted accordingly.
This dual-validation approach filters out:
• Momentum exhaustion in low-volatility consolidations (no VPI confirmation)
• Volatility spikes within strong trends (no TDFI exhaustion)
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COMPONENT 1: VOLATILITY PRESSURE INDEX (VPI)
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VPI quantifies how far the market has deviated from its equilibrium state using four factors:
1. RSI deviation from 50
Measures directional bias accumulation. When RSI stays at 70+ or 30- for extended periods, it signals persistent one-sided pressure.
2. Annualized volatility (VIX-style)
Calculates rolling standard deviation of returns scaled to annual terms. Rising volatility indicates increasing uncertainty and potential for mean reversion.
3. Normalized candle range
Compares current bar's range to recent average range. Expanding ranges signal climactic moves.
4. Bollinger Band position
Measures price distance from statistical mean (middle band). Touches or penetrations of outer bands indicate statistical overextension.
How they combine:
Each component is normalized to 0-1 scale, then weighted based on current market regime (trending vs ranging). The weighted average produces VPI reading where:
• VPI > 0.5 = overbought pressure zone
• VPI < -0.5 = oversold pressure zone
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COMPONENT 2: TREND DIRECTION FORCE INDEX (TDFI)
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TDFI measures the strength and sustainability of directional movement using moving average dynamics:
1. MA spread (fast MMA vs slow SMMA)
When fast MA pulls far from slow MA, it indicates strong directional momentum. When the spread contracts, momentum is fading.
2. Average impulse between MAs
Calculates the velocity of the spread change. Rapid expansion = acceleration phase; slowing expansion or contraction = deceleration/exhaustion.
3. Normalized trend strength
The spread and impulse are normalized relative to recent volatility to make TDFI comparable across different instruments and market conditions.
Output:
• TDFI > 0.7 = unsustainably strong bullish momentum
• TDFI < -0.7 = unsustainably strong bearish momentum
• TDFI near 0 = directionless or balanced market
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SCORE CALCULATION & DIVERGENCE INTEGRATION
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Base Score:
Score = (VPI_weight × VPI) + (TDFI_weight × TDFI)
This creates a continuous measure where:
• Score > +0.5 = bearish reversal zone (high VPI + weak bullish TDFI)
• Score < -0.5 = bullish reversal zone (low VPI + weak bearish TDFI)
Divergence Bonus System:
When classic divergences are detected (price makes new high/low but VPI or TDFI doesn't), a bonus/penalty is applied to Score:
• Decay mechanism: Divergence influence fades linearly over 15 bars (default). Fresh divergences have maximum impact; older ones gradually lose weight.
• Amplitude weighting: Larger divergences (bigger spread between price and indicator pivots) receive stronger bonuses.
• Dual-source amplification: When VPI and TDFI diverge on the same pivot (double divergence), their bonuses stack, creating extreme Score readings near ±1.0.
This means:
• Score = 0.9 with v3t2 label = third VPI + second TDFI bearish divergence, very high confidence
• Score = -0.85 with v1 label = first VPI bullish divergence, strong but early signal
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CALCULATION MECHANICS (DETAILED)
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VPI Component Weighting:
Weights are dynamically adjusted based on market regime detected by TDFI:
• Trending regime (|TDFI| > 0.5): RSI deviation 40%, BB position 30%, volatility 15%, range 15%
• Ranging regime (|TDFI| < 0.3): Volatility 35%, range 35%, RSI deviation 15%, BB position 15%
• Transition zones: linear interpolation between the two weight sets
Normalization Approach:
Each VPI/TDFI component is rescaled using rolling percentile rank over 100-bar window:
• Value at 100th percentile (highest) → 1.0
• Value at 0th percentile (lowest) → 0.0
• Current value → percentile position between 0-1
This makes the indicator adaptive to changing volatility and comparable across instruments.
Divergence Amplitude Measurement:
When a divergence is detected, its strength is quantified as:
Amplitude = (price_pivot_delta / ATR) × (indicator_pivot_delta / indicator_stddev)
Where:
• price_pivot_delta = distance between current and previous pivot
• indicator_pivot_delta = distance between indicator values at those pivots
• ATR and stddev provide normalization
Larger amplitude → larger bonus/penalty to Score (up to ±0.3 maximum).
Decay Function:
Divergence bonus decays linearly: Bonus(t) = Initial_Bonus × (1 - t/15), where t is bars since divergence. After 15 bars, bonus reaches zero. This ensures recent divergences dominate the Score.
Why This Design:
This architecture creates a system where:
• Components adapt to market regime automatically
• Signals are normalized across timeframes and instruments
• Multiple divergences create amplification (bonuses stack)
• Stale signals fade out naturally
This is fundamentally different from displaying RSI + Bollinger + MA separately, as the unified Score cannot be replicated by visual inspection alone.
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SEQUENTIAL DIVERGENCE LABELS (v/t SYSTEM)
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Each divergence is tracked separately for VPI and TDFI:
v-series: VPI divergences (v1, v2, v3...)
t-series: TDFI divergences (t1, t2, t3...)
The counter increments each time a new divergence appears in the same direction (e.g., consecutive bearish divergences). When direction flips (bearish → bullish), counters reset to 1.
Why this matters:
• v1 or t1 = early warning, potentially premature
• v3 or v4 = late-stage exhaustion, higher probability of reversal
• v2t3 = double divergence with second VPI + third TDFI = strong confluence
Traders can filter signals by label:
• Aggressive: trade v1/t1
• Conservative: wait for v2+/t2+ or double divergences
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MULTI-TIMEFRAME FILTER
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The MTF filter analyzes a higher timeframe to determine if the current market structure supports the divergence signal.
Modes:
• Off: All divergences shown
• Reduce: Counter-trend divergences have their bonus reduced by 70% (visual indication: dimmed/gray markers)
• Block: Counter-trend divergences completely hidden
Logic:
If 1H shows bearish divergence but 4H is in strong uptrend (Score < -0.3), the 1H signal is likely premature. MTF filter prevents entering shorts against higher timeframe momentum.
This protects against:
• Catching falling knives in strong downtrends
• Shorting pullbacks in strong uptrends
• Low-probability mean-reversion attempts
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HOW TO USE RSS3
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Entry Setup:
1. Wait for divergence marker (green = bullish, red = bearish)
2. Check Score magnitude:
• |Score| > 0.5 = higher confidence
• |Score| > 0.8 = extreme zone
3. Check v/t label:
• v1/t1 = early (more risk, more reward potential)
• v2+/t2+ or double = late but more reliable
4. Optional: wait +2 bars for pivot confirmation
Exit Options:
• Conservative: opposite divergence appears
• Aggressive: Score crosses through 0 or opposite ±0.5 threshold
• Always use volatility-based stop (2-3× ATR)
Timeframe Recommendations:
• 5-15m: intraday (use MTF 1H-4H)
• 1-4H: swing trading (use MTF Daily-Weekly)
• Daily: position trading (use MTF Weekly-Monthly)
Complementary Tools:
RSS3 is a reversal timing engine, not a complete strategy. Combine with:
• Support/resistance for target zones
• Volume analysis for confirmation
• Trend filters for directional bias
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WHAT MAKES RSS3 ORIGINAL
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vs Traditional RSI Divergence:
• RSI divergence = binary yes/no
• RSS3 = quantified strength score with dual-source validation
vs MACD Divergence:
• MACD = single dimension (momentum)
• RSS3 = volatility pressure + trend force + MTF context
vs Bollinger + RSI mashup:
• Standard mashup = two separate signals
• RSS3 = unified scoring system where components interact through weighted bonuses
Unique features:
• Decay-weighted divergence bonuses (recent divergences matter more)
• Amplitude-sensitive scoring (stronger divergences = higher score impact)
• Sequential tracking (v/t labels show signal maturity)
• MTF-aware filtering (context-dependent signal validation)
• Closed-loop system (divergences → Score → priority weighting → signal)
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EXAMPLE INTERPRETATION
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Scenario: BTC 2H chart shows:
• Red triangle appears above price
• Label: v1 + t2
• Recent Score Value: 1
What this means:
• Second consecutive TDFI bearish divergence detected (t2)
• First VPI bearish divergence on same pivot (v1)
• Double divergence stacking → Score near maximum
• Market is in extreme overbought/overextended zone
• High probability of short-term reversal
Trading decision:
• Aggressive trader: short immediately with tight stop
• Conservative trader: wait for Score to drop below 0.5 or opposite divergence for exit
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CHART LEGEND
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The published chart shows:
• Green triangles below price = bullish divergences (v/t labels indicate sequence)
• Red triangles above price = bearish divergences
• Score line in lower panel = reversal strength from -1 to +1
• Colored clouds = pressure accumulation zones (optional display)
• Text annotations = example entry/exit points for educational purposes
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Disclaimer: All trading involves risk. This indicator does not guarantee profits. Always backtest and apply proper risk management.
4 EMAs with Narrow Range HighlightThis script is apply 4 EMAs in single indicator 20, 50, 100, 200 EMAs, this also highlights narrow ranges with blue colour
Hybrid CCI Scalper ProHybrid CCI Scalper Pro is a sophisticated trading system designed to solve the biggest problem in scalping: False Signals in Choppy Markets.
Unlike standard CCI indicators that fire on every crossover, the HCS Pro uses a Hybrid Logic Engine that distinguishes between high-probability Trend Continuations and powerful Reversal Setups. It processes every potential entry through a 6-factor "Quality Filter" before generating a signal.
Core Features:
1. The Hybrid Signal Engine The script identifies two distinct market conditions:
TREND Mode: Triggers when price is aligned with the Daily/Local trend AND the CCI angle is steep.
REVERSAL Mode (REV): Triggers only on Extreme Momentum (steep angle) combined with a Zero-Line cross, allowing you to catch tops and bottoms without waiting for lagging trend indicators.
2. The Quality Scoring System (Q-Score) Every signal is rated from 0 to 6 stars based on confluence. The signal label shows Q: 4/6, Q: 5/6, etc.
Score 4+: High probability (Recommended).
Score 6: "The Perfect Storm" – All filters (Trend, Volume, RSI, ADX) align.
3. The "Ironclad" Filters To eliminate fake-outs, the script enforces strict rules:
Candle Color Guard: Never Buys on a Red candle or Sells on a Green one.
Angle validation: Flat CCI movement is ignored.
MTF Trend: Checks the Daily timeframe (D1 EMA) to ensure you aren't scalping against the major flow.
Noise Filter: Uses ATR and Volume to ignore low-volatility "dead" markets.
4. The Information Panel A clean dashboard on the top-right displays real-time metrics:
Current Daily Trend (Bull/Bear)
Momentum Strength (Weak/Strong/Extreme)
ADX Power (Trending vs Ranging)
Live Signal Score
How to Trade:
BUY Signal: Look for a Green Triangle. Ideally, the Label should say TREND or REV with a Quality Score of 4/6 or higher.
SELL Signal: Look for a Red Triangle with a high Quality Score.
No Signal? If the panel says "WAIT" or the score is low, the market is likely choppy. Stay out.
Recommended Settings:
Gold (XAUUSD): Works best on 15m.
Forex (EURUSD): Works well on 5m - 15m.
Default settings are optimized for a balance between frequency and accuracy.




















