Adaptive MACD Fusion (Dual-Core Momentum Engine)Adaptive MACD Fusion merges two complementary engines - an *Adaptive MACD Core* and a *Phase Momentum Core* - into a single self-tuning framework.
It’s built for traders who need early, stable, and volatility-aware momentum confirmation without lag or repaint.
Core Architecture
Adaptive MACD Core
Reconstructs classic MACD with z-score normalization and dynamic length adjustment driven by volatility energy.
It adapts automatically between calm and trending regimes for smoother responsiveness.
Volatility Gating System
A logistic ATR-based gate dynamically adjusts signal strength between 0.5 and 1.5.
It suppresses fake impulses during quiet markets and amplifies valid ones in breakouts.
Higher-Timeframe Confirmation
Synchronizes local momentum with higher-timeframe direction using adaptive state decay.
Avoids false reversals by maintaining trend persistence.
Phase Momentum Core
Tracks short-term acceleration/deceleration phases using adaptive EMAs with directional boosts.
Confirms valid shifts and filters market noise — acting as a zero-lag complement to MACD.
Unified Visualization Layer
Merged color logic enables viewing either MACD-only, Phase-only, or combined (Merged) signals in a single visual system.
Key Features
✅ Dual-core adaptive momentum engine
✅ Dynamic volatility weighting
✅ Regime-aware z-score normalization
✅ Persistent higher-timeframe trend memory
✅Multi-mode color & alert system
Conceptual Summary
This is not a cosmetic MACD tweak.
Adaptive MACD Fusion combines structural momentum (MACD) and phase acceleration (short-term engine) to form a coherent adaptive system.
It delivers earlier entries, smoother exits, and consistent cross-regime performance.
Disclosure
This indicator is published as *closed-source* to protect the proprietary adaptive-fusion and volatility-weighting logic.
The architecture, concepts, and functional behavior are fully described above so that traders can understand how it works, how to use it, and what makes it unique — in compliance with TradingView’s House Rules on originality and closed-source publication.
Indikator dan strategi
Bitcoin Gold Fair Value Model | AlphaNattBitcoin Gold Fair Value Model | AlphaNatt
A quantitative regression-based projection model that estimates Bitcoin’s fair value using gold as a macro-monetary benchmark.
This model, inspired by RJAlpha, applies a lag-adjusted statistical regression between gold and Bitcoin to identify the time-shifted correlation that historically aligns Bitcoin’s market value with gold’s macro trends. It produces a forward-looking projection, statistical confidence intervals, and explanatory metrics that assess the reliability of the relationship.
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🧠 Core Concept
Gold serves as a proxy for global liquidity and real monetary value, often leading risk assets during liquidity expansions and contractions.
Bitcoin’s long-term trend tends to react to these same liquidity cycles, but with a measurable lag.
This indicator models that lag statistically, estimating Bitcoin’s “fair value” as if its price were fully caught up to gold’s recent movements.
The regression captures both directional influence and proportional magnitude through slope and intercept coefficients.
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⚙️ Model Features
Dynamic Lag Regression – Uses a configurable leadDays period to align gold’s prior movements with Bitcoin’s current pricing behavior.
Rolling Sample Window – Continuously recalibrates the regression coefficients using a user-defined lookback length, allowing the model to adapt to new market conditions.
Forward Projection – Extends Bitcoin’s fair value into the future, based on present gold levels and the established lag relationship.
Volatility-Adjusted Confidence Bands – Displays one standard deviation and 95% confidence intervals around the projected path to visualize expected uncertainty.
Model Fitness Metric – Includes an R² score that quantifies the strength and stability of the BTC–Gold relationship within the active window.
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📈 Visualization Breakdown
Cyan Line: Historical gold-driven fair value of Bitcoin.
Magenta Lines: Future fair value projection and confidence bands (offset by leadDays).
Projection Label: Displays the 60-day projected price target.
Statistical Table: Shows live model output including the projected fair value, 1-SD range, 95% confidence interval, and R² score.
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🔧 User Inputs
Show 1 SD Bands? – Toggles visibility of the standard deviation boundaries.
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📊 Interpretation Guide
When Bitcoin trades below its projected fair value, the model suggests it is temporarily undervalued relative to gold’s macro trend.
When Bitcoin trades above its projected fair value, it may be overextended in relation to the model’s equilibrium estimate.
A higher R² implies greater reliability — periods where gold explains a large portion of Bitcoin’s price variance.
Confidence intervals represent uncertainty, not directional certainty; deviation beyond them often implies a structural shift in correlation or market regime.
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⚠️ Disclaimer
This indicator is designed for quantitative research and macro correlation analysis. It does not constitute investment advice, price prediction, or trading signal generation. Always verify assumptions and cross-check results with independent analysis before using in a live environment.
Mean reversion strategyThis is mean reversion strategy.
Use this strategy with MTF.
This strategy has low risk reward ratio but drawdowns are also limited
scalping signals 1 min xauusd + eurusd v2Transform Your 1-Minute Scalping with Precision Entry Signals
RSI Signals EUR/USD is a cutting-edge scalping indicator specifically optimized for EUR/USD on the 1-minute timeframe. Designed for active traders seeking quick profits from micro-movements, this indicator delivers crystal-clear entry signals with automatic Stop Loss and Take Profit levels.
What This Indicator Does
🎯 Smart Entry Signals
Get instant visual alerts when high-probability trading opportunities arise. The indicator identifies multiple types of reversal patterns and momentum shifts, displaying clear labels directly on your chart so you never miss a trade.
🎨 Color-Coded Candles
Candlesticks automatically change color based on active signals, making it effortless to track your current position at a glance. Each signal type has its unique color, eliminating confusion in fast-moving markets.
📊 Automatic Risk Management
Every signal comes with pre-calculated Stop Loss and Take Profit levels displayed as dynamic horizontal lines that extend across your chart. Set and forget - no more manual calculations or guesswork.
🎚️ Multiple Take Profit Targets
Maximize your profits with three progressive TP levels (TP1, TP2, TP3) based on optimal risk-reward ratios. Scale out of positions strategically as price moves in your favor.
🛡️ Intelligent Signal Management
When a Stop Loss is triggered, all visual indicators automatically disappear, and candle colors reset until the next fresh signal appears. This keeps your chart clean and focused on what matters.
⚡ Built for Speed
Specifically calibrated for EUR/USD volatility and spread characteristics, ensuring signals are actionable in real-time without lag or repainting.
Good For
Scalpers targeting 5-15 pip moves
Day traders looking for quick in-and-out opportunities
Forex traders focused on EUR/USD pair
Traders who value clear visual cues over complex analysis
RPT Position Sizer🎯 Purpose
This indicator is a position sizing and stop-loss calculator designed to help traders instantly determine:
How many shares/contracts to buy,
How much risk (₹) they are taking per trade,
How much capital will be deployed, and
The precise stop-loss price level based on user-defined parameters.
It displays all key values in a compact on-chart table (bottom-left corner) for quick trade planning.
💡 Use Case
Perfect for discretionary swing traders, systematic position traders, and risk managers who want instant visual feedback of trade sizing metrics directly on the chart — eliminating manual calculations and improving discipline.
⚙️ Key Features
Dynamic Inputs
Trading Capital (₹) — total available capital for trading.
RPT % — risk-per-trade as a percentage of total capital.
SL % — stop-loss distance in percent below CMP (Current Market Price).
CMP Source — can be linked to close, hl2, etc.
Rounding Style — round position size to Nearest, Floor, or Ceil.
Decimals Show — control number formatting precision in the table.
Core Calculations
SL Points: CMP × SL%
SL Price: CMP − SL Points
Risk Amount (₹): Capital × RPT%
Position Size: Risk ÷ SL Points
Capital Used: Position Size × CMP
Clean On-Chart Table Display
Displays:
Trading Capital
RPT %
Risk Amount (₹)
Position Size (shares/contracts)
Capital Required (₹)
Stop-Loss % & SL Price
The table uses a minimalistic white-on-black design with clear labeling and rupee formatting for quick reference.
Data Window Integration
Plots hidden values (Position Size, Risk Amount, SL Points, Capital Used) for use in TradingView’s Data Window—ideal for strategy testing and exporting values.
SMA RibbonThis indicator overlays multiple Simple Moving Averages (SMAs) on the price chart to help visualize both short- and long-term market trends. It includes five configurable SMA lines — 10, 21, 50, 100, and 200 periods by default — each plotted with distinct colors for quick differentiation.
Short-term averages (10 and 21) highlight near-term momentum, while medium- and long-term averages (50, 100, and 200) provide broader trend context and identify potential areas of dynamic support or resistance.
Users can easily adjust the period lengths and line thickness through the settings panel to fit different timeframes or trading styles.
Features
Plots 5 configurable SMAs (default: 10, 21, 50, 100, 200)
Adjustable line width and colors for visual clarity
Works seamlessly on any timeframe and instrument
Useful for identifying trend direction, strength, and key support/resistance zones
Advanced DMI [NexusSignals]Overview
The Advanced DMI is a enhanced version of the classic Directional Movement Index (DMI) and Average Directional Index (ADX) indicator, designed to provide traders with deeper insights into trend strength, direction, and momentum. It combines visual plots, a customizable data table, and multiple alert conditions to help identify bullish/bearish trends, consolidations, and potential reversals. This indicator is ideal for trend-following strategies, scalping, or swing trading across various timeframes and assets.
Key enhancements include:
A trend strength metric that quantifies bullish/bearish dominance.
A dynamic table displaying real-time and historical DMI/ADX values, with color-coded signals and buy/sell pressure percentages.
Visual fills and arrows for quick trend interpretation.
Built-in alerts for key crossovers, threshold breaches, and consolidation phases.
The indicator calculates and display:
+DI (Plus Directional Indicator): Measures upward price movement strength.
-DI (Minus Directional Indicator): Measures downward price movement strength.
ADX: Gauges overall trend strength (higher values indicate stronger trends).
Trend Strength: A normalized score computed as ((+DI - -DI) / (+DI + -DI)) * ADX, ranging from negative (bearish) to positive (bullish). This helps quantify trend bias.
Buy/Sell %: Candle body analysis showing the percentage of buyer (close above low) vs. seller (high above close) control in the current bar.
Plots include:
Strength Histogram : Color-coded columns (green for bullish, red for bearish) to visualize trend intensity.
ADX Line : White line showing trend strength, with arrows indicating rising/falling.
+DI and -DI Lines: Green (+DI) and red (-DI) lines with conditional fills above the 15 threshold for strong trends.
Horizontal threshold lines at 15 (consolidation threshold) and 25 (strong trend threshold).
The table (optional) summarizes data for the current candle, previous candle, and two candles ago, including arrows for directional changes and color highlights for quick scans.
Inputs
General Settings:
DMI Length (default: 14): Period for +DI/-DI calculation.
ADX Smoothing (default: 14): Smoothing period for ADX.
ADX Consolidation Threshold (default: 15): Below this, suggests sideways market.
ADX Stronger Trend Threshold (default: 25): Above this, indicates a robust trend.
Threshold for Strong Bullish/Bearish DMI Strength (defaults: 10 / -10): Levels for strength alerts.
Table Settings:
Show Table? (default: true): Toggle the data table on/off.
Table Text Color, Header Color, Text Size, Position: Customize appearance and placement (e.g., middle_right).
How It Works
Interpretation
Bullish Signals: +DI > -DI, rising +DI (↑ arrow), Strength > 0 (green histogram), Buy% > Sell%. Look for ADX > 25 for confirmed uptrends.
Bearish Signals: -DI > +DI, rising -DI (↑ arrow), Strength < 0 (red histogram), Sell% > Buy%. ADX rising above thresholds strengthens the downtrend.
Consolidation: Both +DI and -DI < 20, ADX ≤ 15 (blue fill possible). Use this to avoid choppy markets.
Crossovers: +DI crossing above -DI suggests bullish reversal; opposite for bearish.
Fills: Areas above 15 highlight dominant trends (green for bullish, maroon for bearish).
Combine with price action or other indicators like RSI for better accuracy. Works on any timeframe, but test on historical data for your strategy.
Alerts
The indicator includes 12 built-in alert conditions for automation:
Strength crossing above/below 0 or bullish/bearish thresholds.
+DI/-DI crossovers (bullish/bearish).
ADX crossing above strong threshold.
+DI/-DI crossing above 25 or below 15.
Consolidation detection (low ADX with flat DI lines).
Set up alerts in TradingView by selecting the condition from the dropdown.
Usage Tips
Enable the table for quick multi-candle analysis without scrolling the chart.
Customize colors and positions to fit your workspace.
Backtest on your favorite assets (e.g., stocks, forex, crypto) to optimize thresholds.
For faster loading on large datasets, the script is optimized to update the table only on the last bar.
This indicator is provided by NexusSignals for educational and trading purposes. Always use risk management and verify signals. Feedback welcome!
Engulfing Detector [HASIB]Description:
Engulfing Detector is a clean and powerful candlestick pattern indicator designed to automatically detect Bullish and Bearish Engulfing setups on any chart and any timeframe.
This tool helps traders easily spot reversal zones and potential trend continuation entries by highlighting high-probability engulfing candles with clear visual signals.
🔹 Features:
Detects both Bullish and Bearish Engulfing patterns in real time
Works on all timeframes and all assets (Forex, Crypto, Stocks, Indices)
Customizable color alerts for bullish and bearish signals
Lightweight, fast, and optimized for smooth performance
Perfect for price action traders and candlestick strategy lovers
📈 Created with precision and simplicity by Hasib, for traders who love clarity and confidence in their charts.
HELAL TRICKS FOREX NY TimeThe indicator marks the New York session opening candle at 9:30 AM (New York time), drawing horizontal lines at its high and low. These levels remain visible until 7:00 PM, helping traders identify key breakout and reversal zones during the most volatile session of the day. Developed by Helal – Tricks Forex, this tool simplifies New York session analysis for smarter intraday trading decisions.
TwistedHWAY Oracle - Intelligent Level Detection System═════════════════════════════════════════════════════════════════════════
🎯 TwistedHWAY Oracle™ - Intelligent Level Detection System
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OVERVIEW
TwistedHWAY Oracle™ combines six independent calculation engines to identify high-probability support and resistance levels. The indicator uses adaptive market regime detection and confluence analysis to automatically rank levels by confidence score, helping traders identify key reaction zones where price is likely to find support or resistance.
KEY FEATURES
The indicator provides comprehensive level detection through:
Six Detection Engines — Each engine operates independently with its own alert system
Confluence Analysis — Automatically awards bonus confidence when multiple engines identify the same level
Adaptive Intelligence — Market volatility detection adjusts parameters in real-time
Confidence Scoring — Every level is ranked and displayed with a numerical confidence score
Individual Alerts — Separate alert controls for each detection method
DETECTION ENGINES
1 — Pivot Points Engine
Calculates daily pivot levels including PP, R1-R3, and S1-S3 using previous day's high, low, and close.
2 — Swing Detector
Identifies significant swing highs and lows using prominence filtering to eliminate noise.
3 — Psychological Matrix
Detects round number levels at three configurable increments (default: 10, 25, 50).
4 — Fibonacci Engine
Calculates retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) from major swings.
5 — VWAP System
Generates volume-weighted average price levels at three different periods.
6 — Confluence Analyzer
Awards bonus confidence points when multiple engines identify the same level.
HOW TO USE
Reading the Levels
Levels above current price = Resistance (red by default)
Levels below current price = Support (green by default)
Numbers in brackets show confidence score
Higher confidence = stronger level
Levels with score > 2.0 indicate extreme confluences
Trading Strategies
Bounce Trading — Enter positions when price approaches high-confidence levels expecting reversal
Breakout Trading — Trade breakouts through levels, using broken level as stop-loss
Confluence Zones — Focus on areas where multiple engines agree
SETTINGS GUIDE
Oracle Settings
Validation Mode — Conservative parameters for more reliable signals
Max Levels — Number of levels to display (10-50)
Level Extension — Line extension direction (None/Left/Right/Both)
Individual Engine Controls
Each engine can be toggled on/off with separate alert controls:
Pivot Engine (daily pivots)
Swing Detector (historical swings)
Psychological Matrix (round numbers)
Fibonacci Engine (retracements)
VWAP System (volume-weighted levels)
Visual Settings
Individual color selection for each level type
Label display toggle with size options
Line style preferences (Solid/Dashed/Dotted)
Alert Configuration
Alert Distance % — Proximity threshold (default: 0.5%)
Alert Cooldown — Minimum bars between alerts (default: 60)
Individual alert toggles for each engine
ADAPTIVE PARAMETERS
The indicator automatically adjusts to market conditions:
High Volatility Mode — Wider swing detection, stricter prominence filters
Normal Mode — Balanced parameters for typical market conditions
Validation Mode — Most conservative settings for reliable signals
Market regime is detected using 100-period volatility measurement with automatic threshold adjustment.
ALERTS
Five alert types plus special confluence alerts:
🎯 Pivot Alerts — Daily pivot level approaches
🌊 Swing Alerts — Historical swing level tests
🧠 Psychological Alerts — Round number approaches
🌀 Fibonacci Alerts — Retracement level tests
📉 VWAP Alerts — Volume-weighted level approaches
⚡ Critical Alerts — Ultra-high confidence levels (score ≥ 2.0)
Alerts include price level, confidence score, and source information.
BEST PRACTICES
Timeframe Selection
Works on all timeframes (optimized for 5min to Daily)
Higher timeframes = more reliable levels
Use multi-timeframe analysis for confirmation
Optimization by Instrument
Forex:
Psychological increments: 0.0010, 0.0050, 0.0100
Stocks (Low-priced):
Psychological increments: 1, 5, 10
Stocks (High-priced):
Psychological increments: 10, 25, 50
Crypto:
Adjust based on price range and volatility
LIMITATIONS
Calculation intensive on last bar (may cause slight delays)
Maximum 50 levels can be displayed simultaneously
Swing detection requires minimum 25 bars of history
VWAP calculations use price range as volume proxy when volume unavailable
NOTES
Levels are recalculated on each bar close
Confidence scores update dynamically with market conditions
Colors automatically adjust based on price position
All settings are saved with chart layout
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Version: 3.0 | Build 2025.10
License: GNU GPL v3.0
© 2025 TwistedHWAY
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༒LIQUIDITY༒ 🧠 Indicator Description: ༒LIQUIDITY༒
The ༒LIQUIDITY༒ indicator visualizes a dynamic liquidity and liquidation level heatmap based on changes in Open Interest (OI) from Binance futures markets.
It highlights precise areas where clusters of leveraged LONG and SHORT positions are likely to be liquidated, offering traders a clear view of liquidity zones.
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⚙️ Key Features:
📉 Liquidity Heatmap: Displays potential liquidation levels derived from Open Interest data.
⚡ Three customizable leverage levels to detect high and low liquidation ranges.
🧩 Intrabar resolution control for multi-timeframe analysis (1m, 5m, 15m, etc.).
🎚️ Signal filtering (optional): Focus on significant Open Interest spikes only.
🎨 Progressive color gradient: Colors change according to contract size, creating a clear heatmap of risk clusters.
🔔 Built-in alerts when LONG or SHORT clusters get swept by price action.
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🧭 How to Read It:
Green/Yellow zones: Indicate areas with a high concentration of LONG liquidations, potential downside liquidity targets.
Blue/Purple zones: Show SHORT liquidation clusters, often acting as upside liquidity targets.
The more intense the color, the greater the contract volume at that price level.
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💡 Usage Tips:
Best combined with Smart Money Concepts (SMC) tools, Order Blocks, or Fair Value Gaps (FVG).
Recommended for timeframes between 5 minutes and 1 hour for optimal clarity and performance.
Adjust the scale and dispersion factor to fine-tune the map’s precision and visual clarity.
Herd Flow Oscillator — Volume Distribution Herd Flow Oscillator — Scientific Volume Distribution (herd-accurate rev)
A composite order-flow oscillator designed to surface true herding behavior — not just random bursts of buying or selling.
It’s built to detect when market participants start acting together, showing persistent, one-sided activity that statistically breaks away from normal market randomness.
Unlike traditional volume or momentum indicators, this tool doesn’t just look for “who’s buying” or “who’s selling.”
It tries to quantify crowd behavior by blending multiple statistical tests that describe how collective sentiment and coordination unfold in price and volume dynamics.
What it shows
The Herd Flow Oscillator works as a multi-layer detector of crowd-driven flow in the market. It examines how signed volume (buy vs. sell pressure) evolves, how persistent it is, and whether those actions are unusually coordinated compared to random expectations.
HerdFlow Composite (z) — the main signal line, showing how statistically extreme the current herding pressure is.
When this crosses above or below your set thresholds, it suggests a high probability of collective buying or selling.
You can optionally reveal component panels for deeper insight into why herding is detected:
DVI (Directional Volume Imbalance): Measures the ratio of bullish vs. bearish volume.
If it’s strongly positive, more volume is hitting the ask (buying); if negative, more is hitting the bid (selling).
LSV-style Herd Index : Inspired by academic finance measures of “herding.”
It compares how often volume is buying vs. selling versus what would happen by random chance.
If the result is significantly above chance, it means traders are collectively biased in one direction.
O rder-Flow Persistence (ρ 1..K): Averages autocorrelation of signed volume over several lags.
In simpler terms: checks if buying/selling pressure tends to continue in the same direction across bars.
Positive persistence = ongoing coordination, not just isolated trades.
Runs-Test Herding (−Z) : Statistical test that checks how often trade direction flips.
When there are fewer direction changes than expected, it means trades are clustering — a hallmark of herd behavior.
Skew (signed volume): Measures whether signed volume is heavily tilted to one side.
A positive skew means more aggressive buying bursts; a negative skew means more intense selling bursts.
CVD Slope (z): Looks at the slope of the Cumulative Volume Delta — essentially how quickly buy/sell pressure is accelerating.
It’s a short-term flow acceleration measure.
Shapes & background
▲ “BH” at the bottom = Bull Herding; ▼ “BH-” at the top = Bear Herding.
These markers appear when all conditions align to confirm a herding regime.
Persistence and clustering both confirm coordinated downside flow.
Core Windows
Primary Window (N) — the main sample length for herding calculations.
It’s like the "memory span" for detecting coordinated behavior. A longer N means smoother, more reliable signals.
Short Window (Nshort) — used for short-term measurements like imbalance and slope.
Smaller values react faster but can be noisy; larger values are steadier but slower.
Long Window (Nlong) — used for z-score normalization (statistical scaling).
This helps the indicator understand what’s “normal” behavior over a longer horizon, so it can spot when things deviate too far.
Autocorr lags (acLags) — how many steps to check when measuring persistence.
Higher values (e.g., 3–5) look further back to see if trends are truly continuing.
Calculation Options
Price Proxy for Tick Rule — defines how to decide if a trade is “buy” or “sell.”
hlc3 (average of high, low, and close) works as a neutral, smooth price proxy.
Use ATR for scaling — keeps signals comparable across assets and timeframes by dividing by volatility (ATR).
Prevents high-volatility periods from dominating the signal.
Median Filter (bars) — smooths out erratic data spikes without heavily lagging the response.
Odd values like 3 or 5 work best.
Signal Thresholds
Composite z-threshold — determines how extreme behavior must be before it counts as “herding.”
Higher values = fewer, more confident signals.
Imbalance threshold — the minimum directional volume imbalance to trigger interest.
Plotting
Show component panels — useful for analysts and developers who want to inspect the math behind signals.
Fill strong herding zones — purely visual aid to highlight key periods of coordinated trading.
How to use it (practical tips)
Understand the purpose: This is not just a “buy/sell” tool.
It’s a behavioral detector that identifies when traders or algorithms start acting in the same direction.
Timeframe flexibility:
15m–1h: reveals short-term crowd shifts.
4h–1D: better for swing-trade context and institutional positioning.
Combine with structure or trend:
When HerdFlow confirms a bullish regime during a breakout or retest, it adds confidence.
Conversely, a bearish cluster at resistance may hint at a crowd-driven rejection.
Threshold tuning:
To make it more selective, increase zThr and imbThr.
To make it more sensitive, lower those thresholds but expand your primary window N for smoother results.
Cross-market consistency:
Keep “Use ATR for scaling” enabled to maintain consistency across different instruments or timeframes.
Denoising:
A small median filter (3–5 bars) removes flicker from volume spikes but still preserves the essential crowd patterns.
Reading the components (why signals fire)
Each sub-metric describes a unique “dimension” of crowd behavior:
DVI: how imbalanced buying vs selling is.
Herd Index: how biased that imbalance is compared to random expectation.
Persistence (ρ): how continuous those flows are.
Runs-Test: how clumped together trades are — clustering means the crowd’s acting in sync.
Skew: how lopsided the volume distribution is — sudden surges of one-sided aggression.
CVD Slope: how strongly accelerating the current directional flow is.
When all of these line up, you’re seeing evidence that market participants are collectively moving in the same direction — i.e., true herding.
PivotBoss Oscillator (PBOsc)PivotBoss Oscillator (PBOsc) – Description
The PivotBoss Oscillator (PBOsc) is a momentum-based indicator derived from the PivotBoss PEMA Method, designed to identify market bias, trend strength, and potential reversals across all timeframes and instruments.
Unlike traditional oscillators, PBOsc measures the differential among three pivot-based EMAs (fast, medium, and slow) relative to the pivot point (PP) of each bar, allowing it to self-adjust dynamically with current market volatility.
Calculation Logic
Pivot Point (PP):
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Pivot-Based EMAs:
Fast PEMA = EMA(PP, fast length)
Medium PEMA = EMA(PP, medium length)
Slow PEMA = EMA(PP, slow length)
Differentials:
Diff1 = Fast PEMA − Slow PEMA
Diff2 = Medium PEMA − Slow PEMA
Diff3 = Fast PEMA − Medium PEMA
Oscillator Value:
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PBOsc=(Diff1+Diff2+Diff3)/PP
Interpretation
Above Zero Line (0): Bullish bias; momentum favors the upside.
Below Zero Line (0): Bearish bias; momentum favors the downside.
Advancing Bars (Green): PBOsc rising → Strengthening trend or positive momentum.
Declining Bars (Red): PBOsc falling → Weakening trend or negative momentum.
Analytical Uses
Change of Bias: Detects short-term shifts in market sentiment.
Trending Markets: Measures pullbacks or continuations within ongoing trends.
Divergence: Divergence between price and PBOsc can signal potential reversals.
Default Settings
Default: (8, 13, 21)
Alternate Presets: (5, 8, 13), (13, 21, 34), (21, 34, 55)
DM Dynamic EMA 9 DM Dynamic EMA 9 colors for strategy decisions:
Entry & Exit Logic
Long (Buy) entries
Enter long when the EMA line turns green (so candles are full-body above EMA 9).
Exit long when:
EMA line turns grey (first full-body close below EMA 9), or
EMA line turns red (confirmed down-trend).
Short (Sell) entries
Enter short when the EMA line turns red (so candles are full-body below EMA 9).
Exit short when:
EMA line turns grey (first full-body close above EMA 9), or
EMA line turns green (confirmed up-trend).
Trading Tip
You can combine this visual cue with another filter (like RSI > 50 for longs, < 50 for shorts) to avoid false transitions.
NQ Manipulation/Distribution Projections + Average RangeThis is not your typical OHLC indicator :)
Overview:
The Manipulation/Distribution Projections (OHLC Stats) indicator is a powerful tool designed to forecast potential price levels for various timeframes. It operates on a simple yet profound principle: price action within a single candle can be broken down into "manipulation" and "distribution" phases. By analyzing over 17 years of historical data for major assets in Python, this script calculates the average (mean) and typical (median) extent of these movements.
These statistical insights are then used to project key levels on your chart based on the current period's opening price, providing a statistically-grounded framework for potential support, resistance, and price targets.
Key Concepts Explained
The indicator's logic is based on how price wicks and bodies form relative to the opening price.
• Manipulation: This refers to the initial move that goes against the candle's eventual direction. For a bullish candle, it's the lower wick (the move from the open down to the low before reversing higher). For a bearish candle, it's the upper wick (the move from the open up to the high before selling off). It represents a "fake out" or a stop hunt.
• Distribution: This is the primary, directional move of the candle from the opening price. For a bullish candle, it's the distance from the open to the high. For a bearish candle, it's the distance from the open to the low. It represents the "real" intended direction of price for that period.
How It Works
This indicator does not calculate these ratios in real-time. Instead, it leverages a comprehensive statistical analysis performed externally in Python on over 17 years of OHLC data. This analysis determined the mean and median ratios for both Manipulation and Distribution movements across different timeframes and, for intraday periods, different times of day.
These pre-computed, static ratios are embedded directly into the script. When a new period begins (e.g., a new day on the Daily timeframe), the indicator:
1. Takes the opening price for that period.
2. Retrieves the corresponding pre-calculated Manipulation and Distribution ratios.
3. Applies these ratios to the opening price to project eight potential price levels:
o + / - Mean Distribution
o + / - Median Distribution
o + / - Mean Manipulation
o + / - Median Manipulation
This approach provides a stable, forward-looking set of levels for the entire duration of the trading period.
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Features
• Statistically-Derived Projections: Plots eight key price levels based on historical tendencies, providing clear potential zones for entries, exits, and stop placement.
• Selectable Timeframe: Choose to view projections for the 1H, 4H, 1D, or 1W periods directly from the settings.
• Dynamic Stats Table: A powerful, on-chart dashboard that provides real-time context. For all four timeframes (1H, 4H, 1D, 1W), it shows:
o Position: Where the current price is relative to the projected zones (e.g., "In +Manip Zone," "Below -Dist").
o Range Completed: The percentage of the historical average range that the current period has already covered.
o Current & Average Range: The current high-to-low range in points vs. the historical average.
• Historical Context: You can display levels for previous periods to see how price has interacted with them in the past.
• Full Customization: Control the color, style, and visibility of every line, label, and fill to match your chart's theme.
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How to Use
This indicator is versatile and can be integrated into various trading strategies.
• Identifying Targets & Reversal Zones: The Distribution levels (especially the zone between the median and mean) can serve as logical take-profit targets, as they represent a historical point of extension. Conversely, Manipulation levels can indicate areas where price might form a wick and reverse.
• Gauging Volatility: Use the Stats Table's "Range Completed" column to assess market conditions. If the 1D range is only 30% complete by mid-day, there may be room for significant expansion. If it's already at 150%, the market might be overextended and due for consolidation.
• Multi-Timeframe Confluence: Use the Stats Table to quickly check if the price on a lower timeframe (e.g., 1H) is approaching a significant level on a higher timeframe (e.g., 1D), adding more weight to that level.
• Defining Bias: If the price opens and holds above the Manipulation zones, it can signal a strong directional bias for the rest of the period.
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Settings
• Projection Timeframe: The primary timeframe for which to calculate and display the levels.
• Historical Periods to Show: Set to 1 for only the current period, or increase to see how levels from past periods held up.
• Timezone: Set the timezone for accurate hourly calculations (defaults to America/New_York).
• Visuals: Customize the appearance of the projection lines, labels, and the shaded zones between mean and median levels.
• Stats Table: Enable/disable the table and configure its position, size, and colors.
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Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and past performance is not indicative of future results. Please do your own research and risk management.
Enjoy!
8/13/200 EMA Crossover ScreenerHold your Options Longer
Entry (Long):
-Daily Chart
-8 EMA crosses above 200 and 13 EMA
- Price remains above 200 EMA
-Break of Structure
EXIT/STOP:
-Stop under recent swing low
-Exit when prices crosses below 13 EMA
Why:
Keeps you trading with trend, filters noise, avoids fights with the market.
Run stock Screener with filters: Price > 200 EMA, 8 EMA > 13 EMA, 8 EMA > 200 EMA, Volume > 500,000.
Check for Buy Signal.
Visually confirm a recent swing high (a peak from the last 30 days) and verify if the price broke above it with strong volume.
Use Pine Script, modify it to create an alert of the stock that you screened.
Multi-Indicator Divergence Detector ProMulti-Indicator Divergence Detector Pro - High Quality Filter System
Overview
This advanced divergence detection tool identifies high-probability reversal opportunities by simultaneously analyzing 11 technical indicators with an intelligent quality scoring system. Unlike traditional divergence detectors that generate excessive false signals, this indicator filters divergences based on professional trading criteria to focus only on significant trend reversals.
What Makes This Original
Quality Scoring System (10-point scale): Each divergence is evaluated across 7 professional criteria including RSI extreme zones, volume confirmation, price deviation from moving averages, ATR volatility filter, and trend strength analysis
Core Indicator Weighting: Prioritizes divergences from the most reliable indicators (RSI, MACD, OBV) with additional scoring when multiple core indicators align
Customizable Filter Thresholds: Traders can adjust minimum quality scores (recommended 4-6) and individual filter parameters to match their trading style
Multi-Indicator Resonance Detection: Identifies when 3+ indicators simultaneously show divergence, significantly improving signal reliability
Key Features
Detects both regular and hidden divergences across 11 indicators: MACD, MACD Histogram, RSI, Stochastic, CCI, Momentum, OBV, VWmacd, Chaikin Money Flow, MFI, and external indicators
Real-time quality score display on chart labels (⭐ rating system)
Dedicated high-quality divergence alerts for significant signals
Configurable pivot point detection and maximum bar lookback
Clean visual presentation with customizable line styles and colors
Built on Pine Script v6 for optimal performance
How It Works
The indicator scans price action and technical indicators for divergence patterns where price makes a new high/low but the indicator fails to confirm. The quality filter then evaluates each divergence using multiple criteria:
RSI Extreme Zones (+2 points): Divergences in overbought (>70) or oversold (<30) regions are weighted higher
Volume Confirmation (+1 point): Requires volume expansion above 1.5x the 20-period average
Price Deviation (+1 point): Price must be significantly distant from MA50 (default 8%+)
Core Indicator Weight (+2 points): When RSI, MACD, and OBV show alignment
ATR Volatility (+1 point): Price movement exceeds 1.5x ATR threshold
Trend Strength (+1 point): Strong trending conditions increase reversal significance
Multi-Indicator Resonance (+1 point): 4+ indicators showing divergence simultaneously
How to Use
Apply indicator to your chart
Enable "High Quality Divergence Filter" in settings
Set minimum quality score (4 = balanced, 6 = conservative, 3 = aggressive)
Bullish divergences appear below price with upward labels
Bearish divergences appear above price with downward labels
Quality scores display as ⭐ ratings when enabled
Configure alerts for high-quality divergence notifications
Recommended Settings
Conservative Mode: Min score 6, enable all filters, 3+ indicator minimum
Balanced Mode: Min score 4 (default), standard thresholds
Aggressive Mode: Min score 3, 2+ indicator minimum
Best Practices
Use on daily or 4-hour timeframes for most reliable signals
Combine with price action confirmation (candlestick patterns, support/resistance)
Higher quality scores (6+) typically precede stronger reversals
RSI extreme zone divergences are particularly powerful at major turning points
Consider the broader market context and trend
Important Notes
This indicator is designed to identify potential reversals in established trends. It works best when strong trends show signs of exhaustion. Past performance does not guarantee future results. Always use proper risk management and confirm signals with additional analysis.
Title: Multi-Indicator Divergence Detector Pro (Quality Filter)
Category: Oscillators
Tags: divergence, RSI, MACD, OBV, reversal, quality-filter, multi-indicator, trend-reversal
Quarterly Theory True Opens by Mr. ConsistentQuarterly Theory True Opens (MTF)
This indicator plots key institutional price levels known as "True Opens" based on the principles of Quarterly Theory, as taught by Trader Daye. It is designed to identify the start of Q2 manipulation cycles across yearly, monthly, weekly, daily, and intra-day session timeframes.
The levels are drawn as clean horizontal rays and are anchored to the 1-minute timeframe, ensuring they are perfectly accurate and consistent on ANY chart timeframe you view.
🎯 Core Concepts
Each line represents the "True Open" at the start of a new Q2 cycle:
📅 Yearly True Open: The open of the first trading day of April.
🗓️ Monthly True Open: The open of the second Monday of each month.
Weekly True Open: The open of the Monday 6:00 PM EST session.
🏙️ Daily True Open: The open at Midnight EST.
⏰ Session True Opens: The open at the start of the second 90-minute quarter of each session (1:30 AM, 7:30 AM, 1:30 PM, 7:30 PM EST).
✨ Key Features
Multi-Timeframe (MTF) Accuracy: Lines are anchored to the 1-minute open price, ensuring they remain perfectly consistent on any chart timeframe (e.g., the 7:30 AM open is the same on the 5min, 1-hour, and Daily charts).
Clean Horizontal Rays: Plots clean horizontal rays that extend forward, avoiding chart clutter. Old lines are automatically removed as new ones form.
Right-Aligned Labels: Text labels are positioned on the right edge of your screen, so they are always visible and never covered by price action.
Fully Customizable: Toggle the visibility of each True Open line (Yearly, Monthly, etc.) and their labels individually in the settings. You can also customize colors and line width.
New York (EST) Timezone: All calculations are hard-coded to the America/New_York timezone for consistency.
⚙️ How to Use
Use these levels as key points of interest for potential support, resistance, or areas where price may show a significant reaction.
Observe how price interacts with these levels after they are established.
Customize the indicator in the settings (⚙️ icon) to show only the levels relevant to your trading style.
⚠️ Troubleshooting: Lines Not Showing Correctly?
If the indicator lines don't seem to plot at the correct price levels when you first add it to your chart, it's almost always a scaling issue.
Hover over the indicator's name on your chart and click the three dots (...) for "More".
Scroll down to "Pin to Scale".
Select "Pin to Right Scale" (or whichever scale your price is on). The indicator levels must be pinned to the same scale as the price to display accurately.
If it is set to "No Scale," the levels will not reflect their true price values.
This tool was developed based on the public teachings of Trader Daye. All credit for the underlying concepts of Quarterly Theory belongs to him. This indicator is for educational and analytical purposes only.
Magic (ZigZag Breakout Target Projector)A ZigZag Breakout with a gap candle + A target Projecter
Om Ahmed Strategy -Unfinfished- -Educational Purposes Only-
ZigZag pivotLength = 6
