Order Flow Trade Detector [Dynamic Sizes]detects absorption in the market and gives an idea where buyers and sellers are.
Индикаторы и стратегии
ICT Asian Range |MC|ICT Asian Range |MC| Indicator
💎 Overview 💎
Automatically highlights the Asian trading session on the chart with session High, Low, Midline, and a shaded box. Shows both current and previous sessions for quick reference.
Range Definition: Identify the highest and lowest prices during this session
Trading Setup: Use the defined range to anticipate future breakouts or liquidity sweeps
💎 Key Inputs 💎
ICT Session Range Time: 7:00pm – 0:00am EST (default, 👉 customizable)
Label Text customizable: e.g. “ASIA RANGE”
Line Colors: High/Low (customizable)
Line Style & Width:(customizable)
Midline: optional, calculated as session average
Box Color: (customizable)
Extension: how far lines extend into the future (customizable)
Happy Trading!
Absorption DetectorSource: Prof Michael G.
Credit: GreatestUsername for the coding & implementation.
Zones of Support and Resistance can feel like drawing boxes on the chart. This indicator to help spot areas of possible reversal. It uses Volume Confirmation and Body-to-Wick Ratio to do this and defined as:
1. Volume Confirmation
High Volume: A candle that absorbs sitting limit orders is often accompanied with higher than average volume. The indicator define this type of candle if it has a volume is greater than 250%/350% of the average volume over the last 10 candles.
2. Body-to-Wick Ratio
Body vs. Wick: A candle with a small body and large wicks can indicate higher probability of reversal. You can define an absorption candle if the body of the candle is less than 50% of the total range (high-low).
These settings are also customizable to your own desired settings and should be used as a visual aid.
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.
AperonFx Pivot Points ATRThis indicator builds on classic pivot point methodology and enhances it with volatility-based ATR offsets to define adaptive support and resistance zones.
The pivot level is derived from the prior period’s price data, while the surrounding levels are calculated using the current day’s ATR to reflect prevailing market conditions.
Support and resistance are placed at incremental distances of 0.5, 1, 1.5 and 2 ATR away from the pivot, creating a structured price framework.
Users can adjust the pivot calculation method, reference timeframe, and visual presentation to suit their workflow.
Composite Fear & Greed IndexComposite Fear & Greed Index
This is an advanced, professional-grade sentiment analysis engine designed to quantify market psychology. Unlike standard oscillators that rely on a single metric, this script uses a weighted composite of four distinct technical components to generate a holistic "Fear & Greed" score.
It includes Multi-Timeframe (MTF) capabilities, proprietary FOMO/Panic detection logic, and Zero-Lag trend analysis.
1. Unique Mathematical Methodology
This script is not a simple overlay of existing indicators. It uses a Composite Normalization Engine to blend four distinct metrics into a single, bounded 0-100 oscillator.
The "Mashup" Problem Solved: Standard indicators like MACD are "unbounded" (they can go to infinity), while RSI is "bounded" (0-100). You cannot simply average them.
Our Solution: This script calculates the Z-Score of the MACD histogram relative to its historical deviation and normalizes it into a 0-100 percentile. This allows for a mathematically valid combination with RSI and Bollinger Bands.
The Component Logic:
Momentum (RSI): (Weight: 30%) Pure price velocity.
Volatility (Bollinger %B): (Weight: 25%) Relative position within volatility bands.
Trend Strength (Normalized MACD): (Weight: 25%) Uses the custom Z-Score logic described above.
Trend Integrity (ZLEMA): (Weight: 20%) We replaced the standard SMA with a custom Zero-Lag Exponential Moving Average (ZLEMA) algorithm. This removes the "lag" associated with traditional sentiment analysis, allowing the index to react to crypto volatility in real-time.
The Calculation: These raw values are weighted and smoothed to produce the final Index Value.
Greater than 80: Extreme Greed (High risk of reversal)
Less than 20: Extreme Fear (Potential accumulation zone)
2. Unique Features
A. FOMO & Panic Event Detection The script does not just track price; it tracks behavior.
FOMO (Fear Of Missing Out): Triggered when Price breaks the Upper Bollinger Band + RSI is Overbought + Volume spikes > 2.5x the average. This often marks local tops.
PANIC: Triggered when Price drops significantly in one bar + Volume spikes > 3.0x the average + RSI is Oversold. This often marks capitulation bottoms.
B. Divergence Detection The script automatically detects and plots Regular Bullish and Bearish divergences between Price and the Sentiment Index.
Bullish Divergence: Price makes a Lower Low, but Sentiment makes a Higher Low (indicating waning selling pressure).
Bearish Divergence: Price makes a Higher High, but Sentiment makes a Lower High (indicating waning buying pressure). Note: The script plots these signals precisely on the indicator line corresponding to the pivot point.
C. Multi-Timeframe (MTF) Engine Users can view the "Daily" sentiment score while trading on a 5-minute or 15-minute chart. This allows scalpers to align their trades with the higher-timeframe market psychology.
3. Usage Guide
Step 1: Trend Alignment Look at the dashboard or the main line color. Green indicates Greed/Uptrend, Red indicates Fear/Downtrend.
Step 2: Extremes
Sell/Take Profit: When the Index crosses 80 (Extreme Greed) or a "FOMO" triangle appears.
Buy/Long: When the Index crosses 20 (Extreme Fear) or a "PANIC" triangle appears.
Step 3: Confirmation Use the Divergence Dots as confirmation. A "Panic" signal followed by a "Bullish Divergence" dot is a high-probability reversal setup.
Settings
Timeframe: Select the MTF resolution (default is Chart).
Weights: You can adjust the influence of RSI, MACD, BB, or Trend to fit your specific asset class.
Visuals: Fully customizable colors, table position, and toggle switches for shapes/backgrounds.
Disclaimer: This script is for informational purposes only and does not constitute financial advice.
pD Zones [MMT]pD Zones plots a clean set of intraday high‑of‑day (HOD) and low‑of‑day (LOD) zones that automatically extend forward, flip color on mitigation, and archive as historical levels for context. It is designed to give intraday traders a simple visual map of premium/discount zones derived from a chosen calculation timeframe.
Overview
Objective : Highlight the current day’s HOD/LOD wick zones as actionable intraday support and resistance.
Core logic runs on a user‑selectable source timeframe (default 15m), then projects those zones onto any chart you are trading.
Zones extend into the future, react to price via mitigation logic, and then optionally roll into a dimmed historical layer.
Zone logic
Each session, the script tracks the extreme high and low plus their wick limits (open/close‑based) on the source timeframe to form two intraday zones.
When a new day starts, the finalized prior‑day zones are “locked in” and the current day begins tracking a fresh HOD/LOD pair.
Only one HOD and one LOD zone are created per day, reducing clutter and keeping focus on the most relevant levels.
Mitigation & color flips
Active HOD zones behave as resistance: a decisive break above the top of the box flips it to a bullish (supportive) color profile, while a move back below can re‑flip it.
Active LOD zones behave as support: a break below the bottom of the box flips it to a bearish profile, and a sustained reclaim can re‑flip it as well.
Once mitigated and carried into a new day, zones are restyled with a softer historical color so they remain visible but unobtrusive.
Alerts
When price breaks a HOD zone to the upside, the script can trigger an alert message noting that HOD resistance has been broken and showing the exact level.
When price breaks a LOD zone to the downside, an alert notes that LOD support has been broken, again with the precise price printed.
These alerts are meant for intraday confirmation of structure shifts at key daily extremes, rather than frequent scalper signals.
Inputs & customization
- Calculation Timeframe: choose which timeframe defines the daily HOD/LOD zones (e.g., 5m, 15m, 1h), independent from the chart.
- Visual Settings: customize support/resistance fill colors and border color to integrate with existing layouts.
- Logic Settings:
Max Active Zones: cap how many live zones remain on the chart at once to control noise.
Max Historical Zones: keep only the most recent historical levels or show all past days.
Zone Extension Offset (Bars): control how aggressively boxes project into the future.
- Mitigation Settings: choose the historical zone color to distinguish active levels from archived ones at a glance.
Scanner Pro MTF v9.3Manual Script Trading Scanner Pro MTF v9.3
How to Interpret Your New Tool
• Total Alignment (The Holy Grail): When you see the chart turn green (LONG) from 15m to D1, it's a high-probability signal that the cycle's bottom has been confirmed.
• Inside Bars (Yellow Dots): When they appear near a support level, they indicate indecision. If the next candle breaks upwards with high volume ('V' on the chart), it's your entry confirmation.
Here's an explanation of the symbols:
1. The Fuchsia Diamond (The "Little Squares")
This symbol represents a Squeeze (Volatility Compression).
• What it means: It appears when the Bollinger Bands move inside the Keltner Channels.
• Interpretation: It indicates that the market is in a period of extreme calm or accumulation. Historically, after a "Squeeze," an explosive price movement occurs.
• Use in your Roadmap: If Bitcoin reaches $59,000 and these fuchsia diamonds start appearing, get ready: the market is building energy for the next big surge.
2. The White "V" (Unusual Volume)
This signal appears at the top of the chart when there is a spike in volume.
• What it means: It is activated when the volume of the current candle is 50% higher than the average of the last 20 candles (volume > ta.sma(volume, 20) * 1.5).
• Interpretation: It confirms the intention. A breakout from support or resistance with a "V" is much more reliable than one without volume.
• Use in your Roadmap: If you see a strong green candle bouncing off a support level with a "V" above it, it's a sign that institutions ("Smart Money") are buying.
3. The Yellow Circle (Inside Bar)
This symbol appears above candles that are "trapped" within the range of the previous candle.
• What it means: The high of the candle is lower than the previous one, and its low is higher than the previous one.
• Interpretation: It is a sign of pause and indecision. The market is compressing the price into a narrow range.
• Strategy: Often, the price breaks out strongly after an Inside Bar. It's like a spring being compressed.
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Trading Summary:
• Ideal Buy Signal: Price near support + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bullish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to LONG (Green).
• Ideal Sell Signal: Price near resistance + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bearish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to SHORT (Red).
Gemini Scalping Strategy [Pro Dash]Description: Gemini Scalping Strategy is a comprehensive monitoring system designed for high-frequency trading and scalping on lower timeframes (1m to 15m). This tool combines a fast-response Trailing Stop based on Average True Range (ATR) with a professional, real-time multi-factor Dashboard to provide a complete view of market structure and momentum.
Key Features:
Reactive ATR Trailing Stop: Provides immediate Buy/Sell signals based on volatility expansion and price breakouts. The trail line dynamically changes color to reflect volatility health.
Contextual Dashboard:
Choppiness Index (Corrected): Identifies whether the market is in a Trending phase (below 38.2) or a Sideways phase (above 61.8), helping to avoid "noise" in flat markets.
RSI Control Logic: Uses the 50-level pivot to define market control (Bull Control vs. Bear Control) instead of simple overbought/oversold levels.
ADX Strength: Measures trend intensity to filter out weak breakouts.
ATR Expansion: Monitors whether current volatility is above its average to confirm entry momentum.
How to use:
Entry: Primary signals are generated by the ATR triangles.
Confirmation: Use the Dashboard to verify market quality. High-probability trades occur when ATR signals align with "TREND" status on the CHOP and "BULL/BEAR CONTROL" on the RSI.
Customization: All dashboard elements (position, size, transparency, and theme) are fully customizable via the settings menu.
Disclaimer: This indicator is for educational and analytical purposes only. Trading involves significant risk, and past performance is not indicative of future results.
AperonFx Pivot Points 1.1This indicator plots ATR-based pivot levels with a clean, institutional layout.
The central pivot (P) is calculated from the selected timeframe and price formula, while support and resistance levels are placed at equal distance steps above and below the pivot.
Users can choose between an automatic step based on ATR or a fixed price step for fully controlled, symmetric levels.
All levels are drawn as continuous segments that align precisely with the active pivot period.
Price annotations are displayed in a minimal, unobtrusive style and always match the exact level values.
The indicator is designed to remain consistent across chart timeframes without recalculation drift.
It is intended for traders who want clear, structured reference levels rather than reactive signals.
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.
Bull/Bear vs Base vs Index (% Change Spread)Visualizes the performance gap ("Beta Decay") between 3x Leveraged ETFs (SOXL/SOXS) and their underlying sector (SOXX), relative to the S&P 500 (SPY).
This indicator is designed for traders who trade leveraged products (like SOXL/SOXS, TQQQ/SQQQ) and need to see true relative strength beyond simple price action.
It calculates the percentage change over a user-defined lookback period for four instruments:
Base (1x): The sector benchmark (Default: SOXX).
Bull (3x): The leveraged long ETF (Default: SOXL).
Bear (-3x): The leveraged inverse ETF (Default: SOXS).
Index: The broad market zero-line (Default: SPY).
It then plots the Spread to reveal the health of the trend:
Bull Spread (Green Line): Bull % - Base %
Bear Spread (Red Line): Bear % - Base %
Base vs Index (Filled Area): Base % - SPY %
🧠 The Logic: Why Use Spreads?
In a perfectly efficient trending market, a 3x Bull ETF should move exactly 300% of the underlying asset. However, in choppy or volatile markets, volatility decay (beta slippage) causes leveraged ETFs to underperform mathematically.
Positive Spread: The leveraged ETF is successfully capturing momentum (The "Sweet Spot").
Negative Spread: The leveraged ETF is suffering from drag or the underlying asset is chopping.
📈 Recommended Trading Plan
Note: This indicator works best as a filter for entry conditions, not a standalone signal. Always use proper risk management.
Strategy A: The "Clean Trend" (Momentum)
Goal: Enter a 3x position only when volatility drag is minimal.
1. Bull Signal:
Condition 1: The Base vs Index (Area) is Green (Sector is outperforming SPY).
Condition 2: The Bull Spread (Green Line) is Positive (> 0).
Why: This confirms the sector is strong AND the 3x ETF is amplifying that move efficiently without decay eating the profits.
2. Bear Signal:
Condition 1: The Base vs Index (Area) is Red (Sector is lagging SPY).
Condition 2: The Bear Spread (Red Line) is Positive (> 0).
Why: This confirms the sector is crashing and the Bear ETF is successfully capturing the downside momentum.
Strategy B: The "Decay Avoidance" (Cash is King)
Goal: Avoid leveraged funds during chop.
Condition: If BOTH the Bull Spread and Bear Spread are Negative (< 0) (below the zero line).
Action: Stay in Cash or trade the 1x underlying (SOXX) only.
Why: When both spreads are negative, it mathematically proves that the market is too choppy for leverage. Both the Long and Short leveraged funds are losing value relative to the underlying asset.
Features:
Pine Script® v6: Updated for the latest engine performance and visuals.
Dashboard Table: Real-time percentage spreads displayed directly on the chart (customizable position).
Fully Customizable: Works on any sector (e.g., set inputs to QQQ/TQQQ/SQQQ for Tech).
Disclaimer:
Trading leveraged ETFs involves significant risk. This script is for educational purposes only.
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.
Resumo de Velas (120) ROMANOCounting the last 120 candles with volume data
Count of positive candles + count of negative candles
Ratio between negative and positive candles
If the ratio is greater than 1.20, enter a sell position
If the ratio is less than 0.80, enter a buy position
Use on a high timeframe chart
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Contagem das ultimas 120 velas com volumes
Contagem velas positivas + contagem velas negativas
Razão entre negativas e positivas
Se a razão é maior que 1.20 entra em venda
Se a razão é menor que 0.80 entra em compra
Uso no grafico de alto timeframe
Apex Trend & Liquidity Master V2.1The Apex Trend & Liquidity Master is a hybrid trading system designed to align traders with the dominant market trend while identifying key structural price levels. Unlike simple moving average crossovers or standalone support/resistance tools, this script integrates a volatility-adaptive "Trend Cloud" with a "Smart Liquidity" engine.
This integration allows the script to offer unique filtering capabilities, such as hiding counter-trend liquidity zones to reduce chart noise and focus on high-probability continuations.
How It Works
Adaptive Trend Cloud The backbone of the system is the Trend Cloud, calculated using a Hull Moving Average (HMA) base with ATR bands. The cloud expands and contracts based on market volatility.
Green Cloud: Bullish Regime. The market is trending up; look for long opportunities.
Red Cloud: Bearish Regime. The market is trending down; look for short opportunities.
Smart Liquidity Zones (with Integration) The script automatically detects Pivot Highs and Lows to draw Supply (Resistance) and Demand (Support) zones. These zones persist until price breaks through them (mitigation).
Integration Feature: A "Filter Zones by Trend" option is included in the settings. When enabled, this feature connects the Trend Cloud to the Liquidity Engine:
It will only display Demand zones when the Trend Cloud is Bullish.
It will only display Supply zones when the Trend Cloud is Bearish.
Note on Lag: Zones are based on pivots (default lookback: 10). A zone appears on the chart 10 bars after the pivot forms. These are historical structural levels.
Signal Filters Buy and Sell labels are generated when the Trend Cloud changes color, but they are filtered to ensure quality:
Volume Filter: Signals only appear if the current volume is higher than the 20-period average.
RSI Filter: Prevents buying when RSI is overbought (>70) or selling when oversold (<30).
Live HUD An on-chart dashboard provides real-time data on:
Trend Bias: Direction of the cloud.
Momentum: RSI strength (Weak/Neutral/Strong).
Volume: High vs. Low activity.
Usage Guide
Identify the Trend: Use the background fill color to determine if you should be looking for longs (Green) or shorts (Red).
Wait for Structure: Look for price to pull back into a "Smart Liquidity" zone. For example, in a Green Trend, wait for price to touch a Green Demand box.
Confirm with Momentum: Check the Dashboard. Ideally, you want to see "Strong" momentum aligning with your trade direction.
Settings: If the chart is too cluttered, enable "Filter Zones by Trend" in the settings menu to hide counter-trend boxes.
Credits & Attribution This script combines original integration logic with adapted open-source concepts:
Smart Liquidity Logic: The method for generating Supply/Demand boxes via Pivot Highs/Lows and array management is adapted from open-source logic commonly used in Smart Money Concepts (SMC) indicators, notably popularized by LuxAlgo and the broader Pine community.
Trend Logic: The volatility cloud utilizes standard Hull Moving Average (HMA) and ATR formulas.
Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance of pivot levels or trend signals does not guarantee future results.
SMT Divergence [Kodexius]SMT Divergence is a correlation-based divergence detector built around the Smart Money Technique concept: when two normally correlated instruments should be making similar swing progress, but one prints a new extreme while the other fails to confirm it. This “disagreement” can be a valuable contextual signal around liquidity runs, distribution phases, and potential reversal or continuation points.
The script compares the chart symbol (primary) with a user-selected comparison symbol (for example BTC vs ETH, ES vs NQ, EUR/USD vs GBP/USD) and automatically scans both instruments for confirmed swing highs and swing lows using pivot logic. Once swings are established, it checks for classic SMT conditions:
Primary makes a new swing extreme while the comparison symbol forms a non-confirming swing .
To support a wider range of markets, the indicator includes an Inverse Correlation option for pairs that typically move opposite to each other (for example DXY vs EUR/USD). With this enabled, the divergence rules are logically flipped so that the script still detects “non-confirmation” in a way that is consistent with the pair’s relationship.
The indicator is designed to be readable and actionable. It can draw divergence labels directly on the main chart, connect the relevant swing points with lines, show a compact information table with the last signal and settings, and optionally render the comparison symbol as a mini candle chart in the indicator pane for quick visual validation.
🔹 Features
🔸 Two-Symbol SMT Analysis (Primary vs Compare)
Select any comparison symbol to evaluate correlation structure and divergence. The script fetches the comparison OHLC data using the current chart timeframe to keep both series aligned for analysis.
🔸 Inverse Correlation Mode
For inversely correlated pairs, enable “Inverse Correlation” so the script interprets confirmation appropriately (for example, a higher low on the comparison instrument might be expected to correspond to a lower low on the primary, depending on the relationship). This helps avoid false conclusions when the pair naturally moves opposite.
🔸 Pivot-Based Swing with Adjustable Sensitivity
Swings are detected using confirmed pivots (left bars and right bars). This provides cleaner structural swing points compared with raw candle-to-candle comparisons, and it lets you control sensitivity for different market conditions and timeframes. The script also limits stored swing history to keep performance stable.
🔸 Flexible Detection Mode: Time Matched or Independent Swings
You can choose how swings are paired across instruments:
Time Matched searches for a comparison swing that occurred at the same pivot time as the primary swing.
Independent Swings compares each symbol’s own last two swings without requiring an exact time match.
🔸 Range Control and Noise Filtering
To reduce weak or irrelevant signals:
“Max Bars Between Swings” ensures the two swings being compared are close enough in structure to be meaningful.
“Min Price Diff (%)” can require a minimum percentage change between the primary’s last two swing prices to confirm the move is significant.
🔸 Clear Visual Output with Tooltips
When a divergence is detected, the script can print a label (“SMT”) with bullish or bearish styling and a tooltip that includes the symbol pair and the primary swing price for quick context.
🔸 Divergence Lines for Context
Optional lines connect the relevant swing points, making it easier to see the exact structure that triggered the signal. One line can be drawn on the main chart and another in the indicator pane for the comparison series.
🔸 Info Table (At a Glance)
A compact table can display the active symbols, correlation mode, total divergences stored, and the most recent signal type.
🔸 Alerts Included
Built-in alert conditions are provided for bullish SMT, bearish SMT, and any SMT event so you can automate notifications without editing the code.
🔸 Optional Comparison Candle Panel
If enabled, the indicator can plot the comparison symbol as candles in the indicator pane. This is useful for confirming whether the divergence is happening around major levels, consolidations, or impulsive legs on the secondary instrument.
🔹 Calculations
This section summarizes the core logic used by the script.
1. Data Synchronization (Comparison Symbol)
The comparison instrument is requested on the chart’s current timeframe so swing calculations are performed consistently:
=
request.security(compareSymbolInput, timeframe.period, )
This ensures pivots and swing times are derived from the same bar cadence as the primary chart.
2. Swing Detection via Confirmed Pivots
Swings are detected using pivot logic with user-defined left and right bars:
primaryPivotHigh = ta.pivothigh(high, pivotLeftBars, pivotRightBars)
primaryPivotLow = ta.pivotlow(low, pivotLeftBars, pivotRightBars)
Because pivots are confirmed only after the “right bars” have closed, the script stores each swing using an offset so the swing’s bar index and time reflect where the pivot actually occurred, not where it was confirmed.
3. Swing Storage and Retrieval
Both symbols maintain arrays of SwingPoint objects. Each new swing is pushed into the array, and older swings are dropped once the array exceeds the configured maximum. This makes the divergence engine predictable and prevents uncontrolled memory growth.
The script then retrieves the last and previous swing highs and lows (per symbol) to evaluate structure.
4. Matching Logic (Time Matched vs Independent)
When “Time Matched” is selected, the script searches the comparison swing array for a pivot that occurred at the exact same timestamp as the primary swing. When “Independent Swings” is selected, it simply uses the comparison symbol’s last two swings of the same type.
5. Bullish SMT Condition (LL vs HL)
A bullish SMT event is defined as:
Primary forms a lower low (last low < previous low)
Comparison forms a higher low (last low > previous low)
If inverse correlation is enabled, the comparison condition flips to maintain logical confirmation rules
The two primary swings must be within the configured bar distance window
Optional minimum percentage difference must be satisfied
A simple anti duplication rule prevents repeated triggers on the same structure
These checks are implemented directly in the bullish detection block.
6. Bearish SMT Condition (HH vs LH)
A bearish SMT event is defined as:
Primary forms a higher high (last high > previous high)
Comparison forms a lower high (last high < previous high)
Inverse correlation flips the comparison rule
Range checks, minimum difference filtering, and duplicate protection apply similarly
These checks are implemented in the bearish detection block.
7. Percentage Difference Filter
The optional “Min Price Diff (%)” filter measures the relative distance between the last two primary swing prices. This prevents very small structural changes from being treated as valid SMT signals.
priceDiffPerc = math.abs(lastSwing.price - prevSwing.price) / prevSwing.price * 100.0
The divergence condition is only allowed to trigger if this value exceeds the user defined threshold.
priceOk = priceDiffPerc >= minPriceDiff
This filter is especially useful on higher timeframes or during low volatility conditions, where micro structure noise can otherwise produce misleading signals.
8. Visualization and Output
When a divergence is confirmed, the script:
Stores the event in a divergence array (limited by “Max Divergences to Display”)
Draws a directional SMT label with a tooltip (optional)
Draws connecting lines using time based coordinates for clean alignment (optional)
It also updates an information table on the last bar only, and exposes alertconditions for automation workflows.
Razzere Cloned! V.8.1The foreign exchange market (forex, FX, or currency market) is a global decentralized or over-the-counter (OTC) market for the trading of currencies. This market determines foreign exchange rates for every currency. By trading volume, it is by far the largest market in the world, followed by the credit market.
The main participants are the larger international banks. Financial centres function as anchors of trading between a range of multiple types of buyers and sellers around the clock, with the exception of weekends. As currencies are always traded in pairs, the market does not set a currency's absolute value, but rather determines its relative value by setting the market price of one currency if paid for with another. Example: 1 USD is worth 1.1 Euros or 1.2 Swiss Francs etc. The market works through financial institutions and operates on several levels. Behind the scenes, banks turn to a smaller number of financial firms known as "dealers", who are involved in large quantities of trading. Most foreign exchange dealers are banks, so this behind-the-scenes market is sometimes called the "interbank market". Trades between dealers can be very large, involving hundreds of millions of dollars. Because of the sovereignty issue when involving two currencies, Forex has little supervisory entity regulating its actions. In a typical foreign exchange transaction, a party purchases some quantity of one currency by paying with some quantity of another currency.
Midnight Opening RangeThis script uses the SMC/ICT midnight opening range to gain insight into the daily highs and lows.
It plots the opening range quadrants and the 0.5 and 1 standard deviations higher and lower.
These levels are often used as support/resistance at certain times of the day.
To be used in concert with other PD arrays.
Antigravity OCC Strategy (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide
## Introduction
The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets.
>
> **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com).
---
## Key Features
### 1. Optimized Core Logic
- **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier.
- **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**.
### 2. Multi-Timeframe (MTF) Analysis
- **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend.
- **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes.
### 3. Advanced Risk Management
This script features a hierarchical exit system to protect your capital and lock in profits:
- **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry.
- **Delayed Trailing Stop Loss (TSL):**
- **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development.
- **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues.
- **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level.
### 4. Versatility
- **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA.
- **Trade Direction:** Toggle between Long-only, Short-only, or Both.
- **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks.
---
## User Input Guide
### Core Settings
- **Use Alternate Resolution?:** Enable this to use the MTF logic.
- **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be.
- **MA Type:** Select your preferred moving average smoothing method.
- **MA Period:** The length of the Open/Close averages.
- **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior.
### Risk Management Settings
- **Use Trailing Stop Loss?:** Enables the TSL system.
- **Trailing Stop %:** The distance the stop follows behind the price.
- **TSL Activation % (Delay):** The profit % required before the TSL starts moving.
- **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you.
- **Take Profit %:** Your ultimate profit target for the trade.
---
## How to Trade with This Strategy
1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross.
2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change.
3. **Manage the Trade:** Let the TSL work. Once the trade hits the activation threshold, the TSL will take over, protecting your runner.
4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity).
---
## Credits
Original Strategy by: **JustUncleL**
Optimized and Enhanced by: **Antigravity AI**
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.
GC1 Orderflow Engine - sudoTLDR
This indicator measures relative buying and selling pressure by comparing GC1! futures returns against XAU price returns, normalized by their own volatility and weighted by GC1! volume. The result is a pressure histogram and line that show whether futures orderflow is leading, lagging, or diverging from spot gold in real time.
What this indicator does
The Orderflow Engine is designed to answer one core question:
Is GC1! futures orderflow applying net pressure in the same direction as XAU, or pushing against it?
It does this by isolating relative strength and weakness between futures and spot, rather than looking at price direction alone.
How the pressure calculation works
1. GC1! futures returns and XAU returns are calculated bar by bar
2. Each return is normalized by its own recent volatility
3. The normalized XAU return is subtracted from the normalized GC1! return
This creates a relative pressure value:
Positive pressure - GC1! futures are outperforming XAU
Negative pressure - GC1! futures are underperforming XAU
Near zero - futures and spot are moving in balance
To emphasize meaningful activity:
GC1! volume is converted into a normalized score
Higher-than-normal futures volume increases the weight of the pressure
Low-volume pressure is naturally dampened
The final output is clamped to keep the scale stable across different market conditions.
Visual output
Histogram
Green bars - positive futures pressure
Red bars - negative futures pressure
Gray bars - neutral or minimal pressure
Pressure line
A smoother view of the same pressure data
Useful for spotting momentum shifts and divergence
Zero line
Represents balance between futures and spot
Crosses often mark changes in orderflow control
Optional annotations
Regime shift markers based on futures participation
Optional percent-change labels for studying pressure acceleration
How to use it
-Confirm whether price moves are supported by futures orderflow
-Spot early divergence between GC1! and XAU
-Identify absorption , distribution , or initiative behavior
-Filter entries by trading only when pressure aligns with your bias
-This tool is best used as confirmation and context, not as a standalone signal generator.
Design philosophy
-Self-normalizing across sessions and volatility regimes
-No fixed thresholds that break over time
-Focused on relative behavior, not prediction
-Built to pair naturally with the Participation Regime indicator
GC1 Participation Regime - sudoThis indicator analyzes COMEX GC1! futures activity and maps it directly onto your XAU price chart, allowing you to see when gold futures participation meaningfully increases or fades - without cluttering your workflow.
Here is the TLDR version of the description (below):
The "regime" is calculated by measuring how active GC1! futures are, compared to their own recent history. On each bar, the indicator looks at two things - volume (how much trading occurred) and true range (how much price actually moved). Each of these is compared to its recent average using a normalized score, which simply answers whether today’s activity is higher, normal, or lower than usual. Those two normalized values are then combined into a single participation score , optionally smoothed to reduce noise. That score is compared against user-defined thresholds and classified into one of four regimes - Low, Normal, High, or Extreme participation . In short, the regime shows whether current GC1! futures activity is unusually quiet or unusually active relative to its own recent behavior , without making any directional assumptions.
What this indicator does
-Measures GC1! futures volume and true range relative to their own historical behavior using z-scores
-Combines those metrics into a single participation score
-Classifies the market into four participation regimes
Low
Normal
High
Extreme
Projects those regimes directly onto the XAU price chart
Visual elements
Background shading
-Gray - Low participation
-Blue - Normal participation
-Green - High participation
-Orange - Extreme participation
Regime shift markers
-Upward triangle below price when participation increases
-Downward triangle above price when participation decreases
Volume-informed candle coloring (optional)
-High GC volume + bullish candle
-High GC volume + bearish candle
-Low GC volume + bullish candle
-Low GC volume + bearish candle
These visuals help you instantly identify whether price movement is occurring with real futures participation or during thinner conditions.
How to use it
-Identify high-quality environments for execution when participation is elevated
-Filter breakouts, trends, and reversals based on whether GC futures are involved
-Avoid overconfidence during low-participation regimes, where price moves are more prone to failure
-Use regime transitions as context , not signals!!
-This indicator is designed to be contextual , not predictive .
Customization
-Adjustable lookback lengths for volume and range
-Fully tunable regime thresholds
-Optional background shading
-Optional regime shift markers
-Optional candle recoloring based on GC volume behavior
Everything can be dialed up or down depending on how visually minimal you want your chart to be.
Notes
-Built specifically around COMEX GC1! futures
-Designed to disappear if GC data is unavailable
-Works on all intraday and higher timeframes
