Reversal Correlation Pressure [OmegaTools]Reversal Correlation Pressure is a quantitative regime-detection and signal-filtering framework designed to enhance both reversal timing and breakout validation across intraday and multi-session markets.
It is built for discretionary and systematic traders who require a statistically grounded filter capable of adapting to changing market conditions in real time.
1. Purpose and Overview
Market conditions constantly rotate through phases of expansion, contraction, trend persistence, and noise-driven mean reversion. Many strategies break down not because the signal is wrong, but because the regime is unsuitable.
This indicator solves that structural problem.
The tool measures the evolving correlation relationship between highs and lows — a robust proxy for how “organized” or “fragmented” price discovery currently is — and transforms it into a regime pressure reading. This reading is then used as the core variable to validate or filter reversal and breakout opportunities.
Combined with an internal performance-based filter that learns from its past signals, the indicator becomes a dynamic decision engine: it highlights only the signals that statistically perform best under the current market regime.
2. Core Components
2.1 Correlation-Based Regime Mapping
The relationship between highs and lows contains valuable information about market structure:
High correlation generally corresponds to coherent, directional markets where momentum and breakouts tend to prevail.
Low or unstable correlation often appears in overlapping, rotational phases where price oscillates and mean-reversion behavior dominates.
The indicator continuously evaluates this correlation, normalizes it statistically, and displays it as a pressure histogram:
Higher values indicate regimes favorable to trend continuation or momentum breakouts.
Lower values indicate regimes where reversals, pullbacks, and fade setups historically perform better.
This regime mapping is the foundation upon which the adaptive filter operates.
2.2 Reversal Stress & Breakout Stress Signaling
Raw directional opportunities are identified using statistically significant deviations from short-term equilibrium (overbought/oversold dynamics).
However, unlike traditional mean-reversion or breakout tools, signals here are not automatically taken. They must first be validated by the regime framework and then compared against the performance of similar past setups.
This dual evaluation sharply reduces the noise associated with reversal attempts during strong trends, while also preventing breakout attempts during choppy, anti-directional conditions.
2.3 Adaptive Regime-Selection Backtester
A key innovation of this indicator is its embedded micro-backtester, which continuously tracks how reversal or breakout signals have performed under each correlation regime.
The system evaluates two competing hypotheses:
Signals perform better during high-correlation regimes.
Signals perform better during low-correlation or neutral regimes.
For each new trigger, the indicator looks back at a rolling sample of past setups and measures short-term performance under both regimes. It then automatically selects the regime that currently demonstrates the superior historical edge.
In other words, the indicator:
Learns from recent market behavior
Determines which regime supports reversals
Determines which regime supports breakouts
Applies the optimal filter in real time
Highlights only the signals that historically outperformed under similar conditions
This creates a dynamic, statistically supervised approach to signal filtering — a substantial improvement over static or fixed-threshold systems.
2.4 Visual Components
To support rapid decision-making:
Correlation Pressure Histogram:
Encodes regime strength through a gradient-based color system, transitioning from neutral contexts into strong structural phases.
Directional Markers:
Visual arrows appear when a signal passes all filters and conditions.
Bar Coloring:
Bars can optionally be recolored to reflect active bullish or bearish bias after the adaptive filter approves a signal.
These components integrate seamlessly to give the trader a concise but complete view of the underlying conditions.
3. How to Use This Indicator
3.1 Identifying Regimes
The histogram is the anchor:
High, brightly colored columns suggest trend-friendly behavior where breakout alignment and directional follow-through have historically been stronger.
Low or muted columns suggest mean-reversion contexts where counter-trend opportunities and reversal setups gain reliability.
3.2 Filtering Signals
The indicator automatically decides whether a reversal or breakout trigger should be respected based on:
the current correlation regime,
the learned performance of recent signals under similar conditions, and
the directional stress detected in price.
The user does not need to adjust anything manually.
3.3 Integration with Other Tools
This indicator works best when combined with:
VWAP or session levels
Market internals and breadth metrics
Volume, order flow, or delta-based tools
Local structural frameworks (support/resistance, liquidity highs and lows)
Its strength is in telling you when your other signals matter and when they should be ignored.
4. Strengths of the Framework
Automatically adapts to changing micro-regimes
Reduces false reversals during strong trends
Avoids false breakouts in overlapping, rotational markets
Learns from recent historical performance
Provides a statistically driven confirmation layer
Works on all liquid assets and timeframes
Suitable for both discretionary and automated environments
5. Disclaimer
This indicator is provided strictly for educational and analytical purposes.
It does not constitute trading advice, investment guidance, or a recommendation to buy or sell any financial instrument.
Past performance of any statistical filter or adaptive method does not guarantee future results.
All trading involves significant risk, and users are responsible for their own decisions and risk management.
By using this indicator, you acknowledge that you are fully responsible for your trading activity.
Indicateurs et stratégies
fully auto advance SMC concept totally free for everyone, it has lots of stuff to use with your mind, follow the signals is the 1st rule, keep SL for your safety.
Nifty50 Sector Weightage PerformanceNifty50 Sector Weightage Performance is a comprehensive market analysis indicator that visualizes the composition and daily performance of all 15 sectors in the Nifty 50 index. This powerful tool provides real-time insights into sector movements, helping traders and investors identify market trends, understand sector rotation, and make informed trading decisions.
The indicator combines sector weightage data with daily percentage changes to calculate a weighted market sentiment score, displayed through an intuitive visual progress bar that indicates whether the market is moving towards bullish or bearish territory.
Comprehensive Sector Coverage
- Tracks all 15 sectors of the Nifty 50 index. Some broad indices because of request limit on Tradingview.
- Displays real-time sector weights and daily percentage changes
- Color-coded visualization for quick performance assessment
Complete Sector Breakdown
1. Financial Services (36.76%)
- Symbol: NSE:BANKNIFTY
- Largest sector in Nifty 50
- Uses Bank Nifty index for comprehensive financial sector representation
2. Oil, Gas & Consumable Fuels (10.26%)
- Individual Stocks(weighted average):
- RELIANCE (8.71%)
- ONGC (0.81%)
- COALINDIA (0.74%)
3. Information Technology (9.98%)
- Symbol: NSE:CNXIT
- Represents IT sector performance through CNX IT index
4. Automobile & Auto Components (6.83%)
- Individual Stocks (weighted average):
- M&M (Mahindra & Mahindra) - 2.77%
- BAJAJ_AUTO (Bajaj Auto) - 0.84%
- EICHERMOT (Eicher Motors) - 0.79%
- MARUTI (Maruti Suzuki) - 1.77%
- TATAMOTORS (Tata Motors) - 0.66%
5. Fast Moving Consumer Goods (6.52%)
- Symbol: NSE:CNXFMCG
- Uses CNX FMCG index for consumer goods sector
6. Telecommunication (4.96%)
- Symbol: NSE:BHARTIARTL
- Uses Bharti Airtel as representative stock
7. Healthcare (4.27%)
- Symbol: NSE:CNXPHARMA
- Pharmaceutical sector represented by CNX Pharma index
8. Construction (3.98%)
- Symbol: NSE:LT
- Uses Larsen & Toubro as representative stock
9. Metals & Mining (3.64%)
- Symbol: NSE:CNXMETAL
- Metals sector through CNX Metal index
10. Consumer Services (2.63%)
- Individual Stocks (weighted average):
- ETERNAL (Eternal) - 1.8%
- TRENT (Trent) - 0.82%
11. Consumer Durables (2.47%)
- Individual Stocks (weighted average):
- TITAN (Titan Company) - 1.36%
- ASIANPAINT (Asian Paints) - 1.11%
12. Power (2.37%)
- Individual Stocks (weighted average):
- NTPC (NTPC Limited) - 1.32%
- POWERGRID (Power Grid Corporation) - 1.05%
13. Construction Materials (2.07%)
- Individual Stocks (weighted average):
- ULTRACEMCO (UltraTech Cement) - 1.18%
- GRASIM (Grasim Industries) - 0.89%
14. Services (2.00%)
- Individual Stocks (weighted average):
- INDIGO (Interglobe Aviation) - 1.06%
- ADANIPORTS (Adani Ports) - 0.93%
15. Capital Goods (1.28%)
- Individual Stock:
- BEL (Bharat Electronics) - 1.28%
Sector Performance Calculation
- Single Index Sectors: Uses direct index/symbol percentage change
- Multi-Stock Sectors: Calculates weighted average based on individual stock weights and their percentage changes
- Formula: Weighted Average = Σ(Stock Weight × Stock % Change) / Total Sector Weight
Data Source
Nifty 50 Index: www.niftyindices.com
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum.
The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex.
This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values correspond to a stable and calm market environment, and lower values indicate periods of increased risk and potential liquidity stress.
LT generates an integral liquidity index in the range based on five normalized components:
-nVol — normalized volume, reflecting trading density and activity.
-nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity.
-nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement.
-nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand.
-nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes.
Each metric is linearly normalized over a sliding window (200 bars) using the formula:
norm(x) = (x − min) / (max − min),
where at max = min, the value is fixed at 0.5 to ensure stability.
The ALT index is calculated as a weighted combination:
ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove)
The result is further smoothed using EMA(3) to reduce micronoise.
Red Zone (MLI < 0.25) — Risk, Thin Liquidity
When the indicator falls into the red zone, it means the market is extremely volatile:
Characteristics:
Low volume — small trades have a strong impact on the price.
High volatility — candlesticks rise or fall sharply.
Wide candlestick range — the market is "breathing heavily," easily breaking price extremes.
Impulsive movements — small market shocks lead to sharp spikes.
Thin liquidity — few orders in the order book, large orders "eat up" the market.
What this means for a trader:
🔥 High risk of spikes and false breakouts.
⚠ Possible series of liquidations on leverage.
❌ It is not recommended to enter long or short positions without a filter or protection.
✅ Can be used for short scalping strategies if you know the entry point, but very carefully.
Green Zone (MLI > 0.75) — High Liquidity, Safe Zone
When the indicator rises into the green zone, it means the market is stable and balanced:
Characteristics:
High volume — the market is deep, orders are executed without a strong impact on the price.
Low volatility — candlesticks are stable, no sharp spikes.
Narrow candlestick range — price moves calmly.
Weak impulse movements — no sharp surges.
Sufficient liquidity — the market can handle large orders.
What this means for a trader:
✅ Safe zone for opening positions.
🔄 Easier to set stop-loss and take-profit orders.
💡 You can trade both up and down, the risk of sharp movements is minimal.
⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations.
It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
Nifty Sector Weightage MatrixSector-weighted view of the Nifty 50 index. This script highlights how much each sector contributes to the index along with real-time sector trend. Essential for index traders looking to understand sector impact, rotations, and leadership.
Macketings 1min ScalpingThis is a hyper-reactive scalping strategy designed for the 1-minute chart. It utilizes a strict four-EMA hierarchy (80/90/340/500) to ensure trades are only taken in the strongest aligned market trend. The strategy is built to be extremely tight on risk and focuses on capturing the immediate, high-momentum swing that follows a confirmed EMA retest or breakout.
Key Mechanics (How it Works):
Strict Trend Alignment: Entry is only permitted when the faster EMA band (80/90) and the price action are correctly aligned with the slow trend (340/500).
Long: EMA 80/90 must be above EMA 340/500, AND EMA 340 must be above EMA 500. (And vice-versa for Short.)
Expanded Retest Entry: The strategy waits for the price to retest or briefly enter the 80/90 band, then immediately enters upon the confirmed momentum breakout from that band.
Dynamic Risk Management (Tight Ride): The strategy is engineered to ride the wave aggressively while protecting capital immediately:
Extremely Tight Initial Stop Loss (0.2% default): Limits initial risk instantly.
Break-Even Security: Once profit hits 0.3%, the Stop Loss is automatically trailed to secure 0.2% profit (a risk-free trade).
Aggressive Exit Logic: Positions are closed not only upon hitting the Take Profit target (2.5%) but also immediately if the 80/90 EMA band crosses the 340 EMA, signaling a critical loss of momentum.
Disclaimer:
This strategy requires high-liquidity instruments and is best used on low timeframes (1-minute) due to its dependency on fast momentum shifts and tight stops. Backtesting and forward testing are crucial before deployment.
Vince/Williams Market Internals SuiteThis indicator is a powerhouse combination of three distinct market internal strategies developed by Ralph Vince and Larry Williams. Instead of using three separate scripts to monitor market health, this tool consolidates them into a single dashboard that analyzes NYSE "New Lows" data to detect structural rot, capitulation, and crash risks.
The first component is the Volatility Vulnerability monitor, which identifies when the market structure is decaying. It looks for an extended period where the number of New Lows fails to drop to negligible levels. If you see an Orange Circle while price is above the 50 SMA, it is a major warning that the uptrend is hollow and prone to a crash. Conversely, a Blue Circle below the 50 SMA suggests the weakness is already priced in, offering a contrarian entry signal.
The second component is the Selling Climax signal. This identifies moments of pure terror where New Lows hit extreme levels (default 20%). The script marks these panic days with Orange Diamonds, but the real value is the Green Diamond that appears immediately when the panic subsides, often signaling a sharp V-bottom.
Finally, the Bloodbath Rule runs in the background as a defensive filter. When the background turns red (marked by a Red Cross), it means New Lows have breached the "danger" threshold (default 4%). During these periods, internal selling pressure is accelerating, and you should strictly avoid entering new long positions until the background clears.
Note: This script relies on broad market data (ADVN/DECN/LOWN) and works best on Daily timeframes.
Vince/Williams Extreme Volatility VulnerabilityDescription: This indicator implements the "Period of Extreme Vulnerability" concept developed by Ralph Vince and Larry Williams. The theory posits that a healthy market must regularly see the number of New Lows "dry up" (drop to near zero). When the percentage of New Lows fails to drop below a minimal threshold (default 0.15%) for a prolonged period (default 65 days), it indicates that internal market structure is rotting even if prices are rising, leaving the market fragile and prone to sudden volatility shocks.
I have programmed this script to track that exact condition—the extended absence of a "low" New Lows reading. It applies a 50-day Moving Average filter to contextually categorize the signal:
Red Dot (Crash Warning): Triggers when the vulnerability period begins while the price is above the 50 SMA. This is the classic warning signal, indicating that an uptrend is unsupported by market internals and a sharp correction may be imminent.
Green Dot (Contrarian Buy): Triggers when the vulnerability period begins while the price is below the 50 SMA. The script identifies this as a potential capitulation or value point where the persistent internal weakness is likely already priced in.
Note: This indicator requires exchange-wide data (New Lows, Advancers, Decliners) to function. It is best used on daily timeframes.
FxAST Ichi ProSeries Enhanced Full Market Regime EngineFxAST Ichi ProSeries v1.x is a modernized Ichimoku engine that keeps the classic logic but adds a full market regime engine for any market and instrument.”
Multi-timeframe cloud overlay
Oracle long-term baseline
Trend regime classifier (Bull / Bear / Transition / Range)
Chikou & Cloud breakout signals
HTF + Oracle + Trend dashboard
Alert-ready structure for automation
No repainting: all HTF calls use lookahead_off.
1. Core Ichimoku Engine
Code sections:
Input group: Core Ichimoku
Function: ichiCalc()
Variables: tenkan, kijun, spanA, spanB, chikou
What it does
Calculates the classic Ichimoku components:
Tenkan (Conversion Line) – fast Donchian average (convLen)
Kijun (Base Line) – slower Donchian average (baseLen)
Senkou Span A (Span A / Lead1) – (Tenkan + Kijun)/2
Senkou Span B (Span B / Lead2) – Donchian over spanBLen
Chikou – current close shifted back in time (displace)
Everything else in the indicator builds on this engine.
How to use it (trading)
Tenkan vs Kijun = short-term vs medium-term balance.
Tenkan above Kijun = short-term bullish control; below = bearish control.
Span A / B defines the cloud, which represents equilibrium and support/resistance.
Price above cloud = bullish bias; price below cloud = bearish bias.
Graphic
2. Display & Cloud Styling
Code sections:
Input groups: Display Options, Cloud Styling, Lagging Span & Signals
Variables: showTenkan, showKijun, showChikou, showCloud, bullCloudColor, bearCloudColor, cloudLineWidth, laggingColor
Plots: plot(tenkan), plot(kijun), plot(chikou), p1, p2, fill(p1, p2, ...)
What it does
Lets you toggle individual components:
Show/hide Tenkan, Kijun, Chikou, and the cloud.
Customize cloud colors & opacity:
bullCloudColor when Span A > Span B
bearCloudColor when Span A < Span B
Adjust cloud line width for clarity.
How to use it
Turn off components you don’t use (e.g., hide Chikou if you only want cloud + Tenkan/Kijun).
For higher-timeframe or noisy charts, use thicker Kijun & cloud so structure is easier to see.
Graphic
Before
After
3. HTF Cloud Overlay (Multi-Timeframe)
Code sections:
Input group: HTF Cloud Overlay
Vars: showHTFCloud, htfTf, htfAlpha
Logic: request.security(..., ichiCalc(...)) → htfSpanA, htfSpanB
Plots: pHTF1, pHTF2, fill(pHTF1, pHTF2, ...)
What it does
Pulls higher-timeframe Ichimoku cloud (e.g., 1H, 4H, Daily) onto your current chart.
Uses the same Ichimoku settings but aggregates on htfTf.
Plots an extra, semi-transparent cloud ahead of price:
Greenish when HTF Span A > Span B
Reddish when HTF Span B > Span A
How to use it
Trade LTF (e.g., 5m/15m) only in alignment with HTF trend:
HTF cloud bullish + LTF Ichi bullish → look for longs
HTF cloud bearish + LTF Ichi bearish → look for shorts
Treat HTF cloud boundaries as major S/R zones.
Graphic
4. Oracle Module
Code sections:
Input group: Oracle Module
Vars: useOracle, oracleLen, oracleColor, oracleWidth, oracleSlopeLen
Logic: oracleLine = donchian(oracleLen); slope check vs oracleLine
Plot: plot(useOracle ? oracleLine : na, "Oracle", ...)
What it does
Creates a long-term Donchian baseline (default 208 bars).
Uses a simple slope check:
Current Oracle > Oracle oracleSlopeLen bars ago → Oracle Bull
Current Oracle < Oracle oracleSlopeLen bars ago → Oracle Bear
Slope state is also shown in the dashboard (“Bull / Bear / Flat”).
How to use it
Think of Oracle as your macro anchor :
Only take longs when Oracle is sloping up or flat.
Only take shorts when Oracle is sloping down or flat.
Works well combined with HTF cloud:
HTF cloud bullish + Oracle Bull = higher conviction long bias.
Ideal for Gold / Indices swing trades as a trend filter.
Graphic idea
5. Trend Regime Classifier
Code sections:
Input group: Trend Regime Logic
Vars: useTrendRegime, bgTrendOpacity, minTrendScore
Logic:
priceAboveCloud, priceBelowCloud, priceInsideCloud
Tenkan vs Kijun alignment
Cloud bullish/bearish
bullScore / bearScore (0–3)
regime + regimeLabel + regimeColor
Visuals: bgcolor(regimeColor) and optional barcolor() in priceColoring mode.
What it does
Scores the market in three dimensions :
Price vs Cloud
Tenkan vs Kijun
Cloud Direction (Span A vs Span B)
Each condition contributes +1 to either bullScore or bearScore .
Then:
Bull regime when:
bullScore >= minTrendScore and bullScore > bearScore
Price in cloud → “Range”
Everything else → “Transition”
These regimes are shown as:
Background colors:
Teal = Bull
Maroon = Bear
Orange = Range
Silver = Transition
Optional candle recoloring when priceColoring = true.
How to use it
Filters:
Only buy when regime = Bull or Transition and Oracle/HTF agree.
Only sell when regime = Bear or Transition and Oracle/HTF agree.
No trade zone:
When regime = Range (price inside cloud), avoid new entries; wait for break.
Aggressiveness:
Adjust minTrendScore to be stricter (3) or looser (1).
Graphic
6. Signals: Chikou & Cloud Breakout
Code sections :
Logic:
chikouBuySignal = ta.crossover(chikou, close)
chikouSellSignal = ta.crossunder(chikou, close)
cloudBreakUp = priceInsideCloud and priceAboveCloud
cloudBreakDown = priceInsideCloud and priceBelowCloud
What it does
1. Two key signal groups:
Chikou Cross Signals
Buy when Chikou crosses up through price.
Sell when Chikou crosses down through price.
Classic Ichi confirmation idea: Chikou breaking free of price cluster.
2. Cloud Breakout Signals
Long trigger: yesterday inside cloud → today price breaks above cloud.
Short trigger: yesterday inside cloud → today price breaks below cloud.
Captures “equilibrium → expansion” moves.
These are conditions only in this version (no chart shapes yet) but are fully wired for alerts. (Future Updates)
How to use it
Use Chikou signals as confirmation, not standalone entries:
Eg., Bull regime + Oracle Bull + cloud breakout + Chikou Buy.
Use Cloud Breakouts to catch the first impulsive leg after consolidation.
Graphic
7. Alerts (Automation Ready)
[
b]Code sections:
Input group: Alerts
Vars: useAlertTrend, useAlertChikou, useAlertCloudBO
Alert lines like: "FxAST Ichi Bull Trend", "FxAST Ichi Bull Trend", "FxAST Ichi Cloud Break Up"
What it does
Provides ready-made alert hooks for:
Trend regime (Bull / Bear)
Chikou cross buy/sell
Cloud breakout up/down
Each type can be globally toggled on/off via the inputs (helpful if a user only wants one kind).
How to use it
In TradingView: set alerts using “Any alert() function call” on this indicator.
Then filter which ones fire by:
Turning specific alert toggles on/off in input panel, or
Filtering text in your external bot / webhook side.
Example simple workflow ---> Indicator ---> TV Alert ---> Webhook ---> Bot/Broker
8. FxAST Dashboard
Code sections:
Input group: Dashboard
Vars: showDashboard, dashPos, dash, dashInit
Helper: getDashPos() → position.*
Table cells (updated on barstate.islast):
Row 0: Regime + label
Row 1: Oracle status (Bull / Bear / Flat / Off)
Row 2: HTF Cloud (On + TF / Off)
Row 3: Scores (BullScore / BearScore)
What it does
Displays a compact panel with the state of the whole system :
Current Trend Regime (Bull / Bear / Transition / Range)
Oracle slope state
Whether HTF Cloud is active + which timeframe
Raw Bull / Bear scores (0–3 each)
Position can be set: Top Right, Top Left, Bottom Right, Bottom Left.
How to use it
Treat it like a pilot instrument cluster :
Quick glance: “Are my trend, oracle and HTF all aligned?”
Great for streaming / screenshots: everything important is visible in one place without reading the code.
Graphic (lower right of chart )
Cjack COT IndexHere's the updated description with the formula and additional context:
---
**Cjack COT Index - Commitment of Traders Positioning Indicator**
This indicator transforms raw Commitment of Traders (COT) data into normalized 0-100 index values, making it easy to identify extreme positioning across different trader categories.
**How It Works:**
The indicator calculates a min-max normalized index for three trader groups over your chosen lookback period (default 26 weeks):
- **Large Speculators** (Non-commercial positions) - typically trend followers
- **Small Speculators** (Non-reportable positions) - retail traders
- **Commercial Hedgers** - producers and consumers hedging business risk
The normalization formula is: **Index = (Current Position - Minimum Position) / (Maximum Position - Minimum Position) × 100**
This calculation shows where current net positioning sits between the minimum and maximum levels observed in the lookback window. A reading of 100 means current positioning equals the maximum net long over that period, 0 equals the minimum (most net short), and 50 is the midpoint of the range.
**Important:** The lookback period critically affects index readings - shorter lookbacks (13-26 weeks) make the index more sensitive to recent extremes, while longer lookbacks (52-78 weeks) provide broader historical context and identify truly exceptional positioning. Min-max normalization is essential because it makes positioning comparable across different contracts and time periods, regardless of the absolute size of positions.
**What It's Good For:**
The indicator excels at identifying **crowded trades** and potential reversals by tracking contrarian setups where commercials (smart money) position opposite to speculators. Background highlighting automatically flags:
- **Long setups** (green): Commercials heavily long while speculators are heavily short
- **Short setups** (red): Commercials heavily short while speculators are heavily long
The "Shift Index" option (enabled by default) displays last week's tradeable COT data aligned with current price action, ensuring you're working with actionable information since COT reports publish with a delay.
Works on weekly timeframes and below for commodities and futures with available COT data.
Global M2 Money Supply (100+ countries, USD, Offset)Global M2 Money Supply:
-potentially 100+ countries - countries can be added in Script,
-USD, Offset
-offset in months can be manually adjusted to account for the time that i takes for liquidity to hit the market
darshakssc SMC Infinity Enginedarshakssc SMC Infinity Engine is an advanced Smart Money Concepts–based tool designed to help traders visually understand institutional price behavior such as liquidity sweeps, displacement moves, and structure breaks — all without repainting.
This script does not predict the future or guarantee outcomes.
Instead, it provides a structured price-action framework to help traders study how markets move during key intraday phases.
🔍 Core Concepts Used
This indicator highlights:
Liquidity Sweeps (equal highs/lows taken out)
Displacement Candles (strong institutional momentum bars)
Break of Structure (BOS) confirmations
Kill Zone Sessions (optional smart-money timing filter)
Higher Time Frame Trend Alignment
Dynamic Entry, Stop Loss, and Target Levels
Internal trade outcome tagging (TP1/TP2/TP3/SL)
These components are widely used in institutional price-action models and can help users understand how liquidity and structure interact throughout the trading day.
📊 What the Indicator Displays
LONG / SHORT signals after confirmed BOS
Entry, SL, TP1, TP2, TP3 mapped directly on the chart
Background highlighting for liquidity sweep zones
A clean dashboard showing:
Current symbol
Current price
Number of setups recognized
TP1/TP2/TP3 stats
SL count
Live win-rate calculation
Last outcome recorded
All visuals are provided for study purposes to help users review how price reacts during key structure shifts.
🧠 How to Use It (Educational Purpose)
This tool is designed as a market research & educational study aid.
You can use it to:
Observe how liquidity sweeps often precede directional moves
Study how displacement confirms institutional intent
Analyze BOS-based structure shifts
Compare HTF trend alignment with LTF execution
Review trade outcomes historically for self-improvement
It can assist in building discipline and consistency when learning SMC-style concepts — without any automation or strategy execution.
⚠️ Important Notes
This script does not repaint.
This is not a trading system, signal generator, or financial advice.
All information is for educational and informational purposes only.
Past performance does not guarantee future results.
Users should always perform their own analysis and risk management.
🛡️ Compliance Disclaimer
This script is provided for educational purposes only.
It does not constitute investment advice, does not guarantee results, and should not be used as the sole basis for any trading decision.
ATR STRUCTURE
So I can produce this
🟡 START = 662.63 ✳️ ATR ≈ 8.30 pts (0.5 ATR ≈ 4.15 • 1 ATR ≈ 8.30) 🙂📏
ATR bands (numeric)
🔼 START + 0.5 ATR = 662.63 + 4.15 = 666.78 (upper buffer / shelf)
🔼 START + 1 ATR = 662.63 + 8.30 = 670.93 (breakout band)
🔽 START − 0.5 ATR = 662.63 − 4.15 = 658.48 (near support)
🔽 START − 1 ATR = 662.63 − 8.30 = 654.33 (deeper stop zone)
— Priority level ladder (footprint‑first & ATR alignment) — (emoji = confidence • 🔥 = high • ✅ = footprint confirmed • 🟡 = medium)
🔥🟢 PM_LOW / D1 — ~659.95 → 660.50 ✅ (FOOTPRINT CONFIRMED)
Why: repeated 30m+1h absorption (sold‑into then bought up). DEEP confidence. 🧯🔁
🔥🔴 ORBH / U2 cluster — ~663.98 → 665.87 ✅ (FOOTPRINT SUPPLY)
Why: repeated rejections / sell MaxDelta rows on 30m & 1h. Treat as overhead supply / shelf. 🪓📉
🔥🟦 D3 / ORBL corridor — ~658.64 ✅ (TF confluence: 1h+4h MaxDelta)
Why: single‑row institutional sells map here; structural LVN / open‑range low. 🛡️📌
🟡⭐ START / U1 pivot zone — ~662.63 – 662.70 ✅ (session pivot, 1h absorption)
Why: session magnet—use for intraday bias pivot / quick confirms. 👀⚖️
🟡🔥 U4 / U5 upper HVN band — ~666.7 → 669.3 (ATR UPPER)
Why: strong HVN / stop‑run evidence on higher TFs — needs large buy MaxDelta to flip. 🚧🚀
⚪ D5 lower expansion support — ~654.3–656.7 (deeper target if sellers run)
Why: longer‑TF expansion area; lower immediate probability but high impact if hit. ⚠️📉
SWUltimate Sniper: SMT + AO + Money Flow
Overview This indicator is a comprehensive trading system designed to identify high-probability reversal points by combining three powerful concepts: Smart Money Techniques (SMT), Awesome Oscillator (AO) Momentum Divergences, and Macro Money Flow Analysis. It aims to filter out false signals by requiring confirmation from multiple technical factors before generating a signal.
Key Features & Logic
1. SMT Divergence (Smart Money Tool) The core of this indicator compares the current asset's price structure (Highs and Lows) against a benchmark symbol (Default: BTCUSDT).
Bullish SMT: When Bitcoin makes a Lower Low (LL), but the Altcoin makes a Higher Low (HL). This suggests underlying strength and accumulation in the Altcoin despite BTC's weakness.
Bearish SMT: When Bitcoin makes a Higher High (HH), but the Altcoin makes a Lower High (LH). This suggests weakness and distribution in the Altcoin despite BTC's strength.
2. Awesome Oscillator (AO) Confirmation To prevent premature entries based solely on price action, the indicator checks for momentum divergence on the Awesome Oscillator.
If the "AO Filter" option is enabled in settings, a signal (triangle) will only appear if both SMT Divergence and AO Divergence occur simultaneously (or within the same pivot window). This significantly increases the reliability of the setup.
3. Money Flow Dashboard A dashboard in the top-right corner provides real-time macro context to ensure you are trading with the trend.
USDT.D (Tether Dominance): Monitors whether capital is entering (Bullish) or leaving (Bearish) the crypto market.
BTC.D (Bitcoin Dominance): Monitors whether capital is flowing into Bitcoin or rotating into Altcoins (Altcoin Season).
How to Use
Buy Signal (Green Triangle): Look for a Green Triangle below the bar. Ideally, confirm this with the Dashboard showing "Money Flow: Entering" (Green) and "Trend: Flowing to Alts" (Green).
Sell Signal (Red Triangle): Look for a Red Triangle above the bar.
Dashboard: Use the dashboard as a trend filter. Do not long an Altcoin if USDT.D is spiking (Market Bearish).
Settings
Comparison Symbol: Select the benchmark asset (Default: BTCUSDT).
Pivot Period: Adjust the sensitivity of the divergence detection.
Use AO Filter: Toggle ON/OFF to require Awesome Oscillator confirmation for signals.
Dashboard: Toggle the visibility of the Money Flow panel.
Top-Down Analysis - Multi-Timeframe AlignmentThis indicator implements a Top-Down Multi-Timeframe Trading Analysis System. Here's what it does:
Core Functionality
1. Multi-Timeframe Bias Detection
Monitors three timeframes: Daily, 4-Hour, and 1-Hour
Determines if each timeframe is bullish, bearish, or neutral based on two EMAs (9 and 21 period by default)
A timeframe is bullish when: Fast EMA > Slow EMA AND price is above Fast EMA
A timeframe is bearish when: Fast EMA < Slow EMA AND price is below Fast EMA
2. Alignment Tier System
Tier 1 (Full Alignment): All three timeframes agree (Daily = 4H = 1H direction)
Tier 2 (Partial Alignment): Daily and 1H agree, but 4H differs
No Alignment: Timeframes disagree
3. Previous Day Support & Resistance Levels
Automatically plots key levels from the previous day:
Previous Day High (PDH) - resistance
Previous Day Low (PDL) - support
Previous Day Close (PDC)
Previous Day Midpoint (PDM)
4. Execution Zone (15-Minute Window)
Highlights the first 15 minutes after each new 4H candle opens
This is the optimal entry window when alignment conditions are met
5. Pattern Recognition
Detects trading setups:
Double tops/bottoms
Long wicks at support/resistance
Bullish/bearish closes aligned with bias
6. Trade Signals
Generates entry signals when:
There's Tier 1 or Tier 2 alignment
Price is in the 15-minute execution zone
A valid pattern forms (double top/bottom or wick rejection)
7. Visual Dashboard
Shows a real-time table with:
Each timeframe's current bias
Alignment status
Next 4H prediction
Whether price is at a key support/resistance level
Trading Strategy
The indicator helps traders follow the principle of "trade with the higher timeframe trend" by only taking trades when multiple timeframes agree, focusing entries during specific windows, and respecting previous day's key price levels as potential reaction zones.
Simple VP Shape DetectorSimple VP Shape Detector is a lightweight Pine Script tool designed to help traders quickly identify the four major Volume Profile shapes commonly used in orderflow and auction-market theory:
D-Shape (Balanced Profile)
P-Shape (Short-Covering / Buyer-Dominant)
B-Shape (Long-Liquidation / Seller-Dominant)
Thin Profile (Trend Profile)
This indicator uses candle statistics (range, body size, volume distribution approximation, and directional movement) to estimate the underlying shape of the volume profile when the full Volume Profile tool is not available.
✔️ What this indicator does
Analyzes recent bars to estimate volume concentration vs. price movement
Flags possible VP shapes using simple logic
Displays labels above/below candles showing:
“D” → Balanced
“P” → Buyer-heavy
“B” → Seller-heavy
“T” → Trending / Thin profile
Helps traders quickly identify auction conditions
✔️ Why this is useful
Volume Profile tools require premium data or heavy visual processing.
This script provides a simple, fast, CPU-light alternative that still captures the essential behavior of profile shapes.
✔️ How shapes are detected
D-Shape: small directional movement + larger body clustering
P-Shape: strong upward move + volume weighted to upper half
B-Shape: strong downward move + volume weighted to lower half
Thin: long range candles with little internal consolidation
⚠️ Disclaimer
This script is an approximation. It does NOT replace full Volume Profile tools.
It is designed as an educational / supplemental tool for market structure analysis.
Improved ADX – Responsive & Visual (manual ADX)just an ADX but more visual....
This indicator is a custom implementation of the Average Directional Index (ADX), designed to provide a responsive and visual representation of trend strength along with the DI+ and DI– lines. It uses manual calculations for the ADX and directional movement components for greater control over smoothing and responsiveness.
Key Features:
ADX Calculation:
Computes directional movement (upMove / downMove) manually.
Calculates True Range and smoothed directional movements using Wilder’s moving average (RMA).
Computes the ADX using the smoothed DX and applies additional smoothing (adx_fast) for responsiveness.
Directional Indicators (DI+ / DI–):
DI+ and DI– lines are calculated independently.
Lines are plotted on the same scale as the indicator.
Colors:
DI+ is green when above DI–, otherwise semi-transparent green.
DI– is red when above DI+, otherwise semi-transparent red.
ADX Coloring and Trend Fill:
ADX line color changes dynamically:
Green when above the trend strength threshold.
Yellow when near the threshold (0.75 × threshold).
Red when below the threshold.
Optional fill highlights strong trends between ADX and the threshold line:
Green fill for ADX above the threshold.
Red fill for ADX below the threshold.
Cross Markers:
Triangle markers are plotted on the indicator scale when ADX crosses the threshold:
Upward green triangle for ADX crossing above the threshold (strengthening trend).
Downward red triangle for ADX crossing below the threshold (weakening trend).
Live Values Label:
Displays the current ADX, DI+, and DI– values at the top of the indicator pane.
Automatically updates on the last bar.
Inputs:
len: ADX length (default 14)
smooth: Smoothing factor for adx_fast (default 5)
show_fill: Highlight strong trend area (true/false)
highlight_level: Trend strength threshold (default 25)
show_di: Show DI+ / DI– (true/false)
show_adx: Show ADX line (true/false)
Usage:
Use the ADX to gauge trend strength.
DI+ above DI– indicates bullish pressure; DI– above DI+ indicates bearish pressure.
ADX color and fill provide visual cues for trend strength and potential entry signals.
Cross markers alert when trend strength is increasing or decreasing relative to the threshold.
Institutional Volume Flow (IVF) with VWAP & Zones. Accumulation Zone (Green Background)Logic: Signals potential institutional buying at the low.Conditions: The current close price is below VWAP $\text{(close} < \text{VWAP)}$, AND there has been at least one Aggressive Buy (IVF) bar within the last $\text{N}$ bars.2. Manipulation Zone (Red Background)Logic: Signals a Stop Hunt or False Breakout where the market briefly takes out a previous extreme before reversing with institutional conviction.Conditions:False Break High: Current high is a new 2-bar high, immediately followed by an Aggressive Sell (IVF) bar.False Break Low: Current low is a new 2-bar low, immediately followed by an Aggressive Buy (IVF) bar.3. Compression Zone (Purple Background)Logic: Signals a period of low volatility where price is "coiling up" for a large move.Conditions: The bar's range $\text{(high} - \text{low)}$ is consistently small (less than a multiplier of the Average True Range (ATR)) for a specific number of bars.The zones are plotted using bgcolor() for a visual area on the chart and plotshape() to mark the specific bar where the condition is met. Manipulation is given the highest plotting priority to ensure it's visible over other zones if conditions overlap.Would you like me to elaborate on the typical trading strategy associated with any of these three zones (Accumulation, Manipulation, or Compression)?
Premarket Breakout (TP1 → BE → ATR Trail)the best one you can find a very good indicator and strategy to help with al l trading needs in every way
Tarih & Saat (Sol Alt - Orta Arası)Sometimes we may have some questions about the clock in our minds, if your PC clock or application clock gets a bug, this indicator is the source of the exact solution to this problem, enjoy it
supertrend long📌 Supertrend Short Strategy — Bear Trend Filter
This strategy focuses on short entries during bearish conditions using Supertrend direction as a trend filter.
🔍 Core Logic
Detects bearish trend using Supertrend calculation.
Only executes entries in the direction of the main trend.
Trade signal occurs when a breakdown happens below short-term structure or after continuation momentum.
Stop Loss and Take Profit levels are automatically calculated using previous volatility.
🎯 Best Use Case
Recommended timeframes: 1H / 4H
Works on crypto, FX and index futures charts.
Designed for momentum continuation and retest failures, not for reversal trading.
🛡 Risk Management & Features
Automatic dynamic SL/TP placement
No repaint on historical signals
Provides alert conditions for automation usage (Webhook / Bot)
⚠ This script is not financial advice. It is a technical research tool intended for educational and testing purposes.
Double RSI With Color Fill5RSI & 8RSi for intraday. Buy when 5RSI crosses down with 8RSI and Sell if 5RSI crosses above 8RSI.
Vince/Williams Selling Climax SignalThis indicator identifies moments of ultimate market capitulation based on the "Selling Climax" research by Ralph Vince and Larry Williams. It monitors the ratio of New Lows to total traded issues to detect when selling pressure has reached an unsustainable, panic-driven extreme (defaulting to 20% of the entire market hitting new lows).
The script visualizes this process in two stages. First, it marks the actual days of panic with red diamonds, showing you where the "washout" is occurring. Second, and most importantly, it generates a green diamond buy signal on the very first day the panic subsides. This allows you to enter a position immediately after the supply of desperate sellers has been exhausted, often catching the absolute bottom of a sharp correction.
