Smart Money Dynamics Blocks — Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix
A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry.
1. Mathematical Foundation
This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together.
Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages.
2. The Pearson Matrix Logic
For every prime interval p, the indicator calculates the linear correlation:
r_p = corr(price, bar_index, p)
Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence.
- When avgR > 0.8 → strong positive correlation (labeled R+).
- When avgR < -0.8 → strong negative correlation (labeled R−).
This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength.
3. Sequential Prime Slope and Median Pivot
Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector.
The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback.
4. Regression-Style Parallel Bands
Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix.
These bands adjust dynamically to:
- Volatility, via standard deviation of residuals.
- Correlation strength, via avgR sign weighting.
Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure.
5. Volume and Cumulative Delta Peaks
Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts.
From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked.
This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form.
6. Chart Interpretation
The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time.
Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure.
The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure.
7. Interpretive Insight
This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure.
It unifies three analytical domains:
- Prime distribution — defines a nonlinear temporal architecture.
- Pearson correlation — quantifies statistical cohesion.
- Cumulative delta — expresses behavioral imbalance in order flow.
The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable.
8. Contribution & Feedback
Share your observations in the comments:
- The time gap and alternation between R+ and R− clusters.
- How different timeframes change delta sensitivity or reveal compression/expansion.
- Prime intervals/clusters that tend to sit near turning points or liquidity shifts.
- How avgR behaves across assets or regimes (trending, ranging, high-vol).
- Notable interactions with the parallel bands (touches, breaks, mean-revert).
Your field notes help others read the model more effectively and compare contexts.
Summary
- Primes define the structure.
- Pearson quantifies coherence.
- Slope median stabilizes geometry.
- Regression bands visualize deviation.
- Cumulative delta locates imbalance.
Together, they construct a framework where mathematics meets market behavior.
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Wolfe Waves [BigBeluga]🔵 OVERVIEW
The Wolfe Waves pattern was first introduced by Bill Wolfe , a trader and analyst in the 1980s–1990s who specialized in market geometry and natural rhythm cycles. Wolfe observed that price often forms symmetrical wave structures that anticipate equilibrium points where supply and demand meet. These formations, called Wolfe Waves , gained popularity as a reliable pattern for forecasting both short- and long-term reversals.
The Wolfe Waves indicator automatically detects these patterns in real time. It tracks sequences of five pivots (points 1 through 5) and connects them with wave lines. Users can select either Bullish or Bearish Wolfe Waves depending on their trading bias. When the pattern fails, the lines automatically turn red to highlight invalidation.
🔵 CONCEPTS
Five-Point Structure – Wolfe Waves are defined by five pivots (1–5), which together form the basis of the wave pattern.
Bullish Pattern – Occurs when price compresses downward into point 5, signaling a potential upside reversal.
Bearish Pattern – Occurs when price extends upward into point 5, forecasting a downside reversal.
Validation & Failure – The pattern is considered valid once all five pivots form; if price fails to respect the expected breakout, the indicator marks the structure as broken with red lines.
🔵 FEATURES
Automatic detection of Bullish and Bearish Wolfe Waves.
Labels each pivot (1–5) on the chart for clarity.
Draws connecting lines between pivots to visualize the wave structure.
Projects target/dashed lines (EPA/ETA) based on Wolfe Wave geometry.
Lines automatically turn red when the pattern is broken, giving immediate feedback.
Customizable color scheme for bullish (lime) and bearish (orange) waves.
Adjustable sensitivity for pivot detection.
🔵 HOW TO USE
Choose between Bullish or Bearish mode depending on your analysis.
Watch for the formation of all five pivots; the indicator labels them clearly.
Look for potential entries near point 5, with the expectation that price will travel toward the projected EPA line.
Use invalidation (lines turning red) as a risk management warning to exit failed setups.
Combine with momentum, volume, or higher-timeframe analysis to increase reliability.
🔵 CONCLUSION
The Wolfe Waves brings the classic Wolfe Wave theory into an automated TradingView tool. Inspired by Bill Wolfe’s original concept of natural market cycles, this indicator detects, labels, and validates Wolfe Waves in real time. With automatic invalidation marking and customizable settings, it offers traders a structured way to harness one of the most well-known geometric reversal patterns.
Aktien Spike Detector by DavidDescription:
This indicator marks the daily high and low on the chart and provides a visual and audible alert whenever the current price touches either of these levels. Additionally, the indicator highlights the candlestick that reaches the daily high or low to quickly identify significant market movements or potential reversal points.
Features:
📈 Daily high and low are automatically calculated and displayed as lines on the chart.
🔔 Alert notification when the price touches the daily high or low.
🕯️ Highlighting of the touch candlestick (e.g., color-coded) for better visual orientation.
💡 Ideal for traders trading breakouts, rejections, or intraday reversals.
Areas of application:
Perfect for day traders, scalpers, and intraday analysts who want to see precisely when the market reaches key daily levels.
DAMMU Swing Trading PRODammu Scalping Pro – Short Notes
1️⃣ Purpose:
Scalping and swing trading tool for 15-min and 1-min charts.
Designed for trend continuation, pullbacks, and reversals.
Works well with Heikin Ashi candles (optional).
2️⃣ Core Components:
EMAs:
Fast: EMA5-12
Medium: EMA12-36 Ribbon
Long: EMA75/89 (1-min), EMA180/200 (15-min), EMA540/633
Price Action Channel (PAC): EMA-based High, Low, Close channel.
Fractals: Regular & filtered (BW) fractals for swing recognition.
Higher Highs / Lower Highs / Higher Lows / Lower Lows (HH, LH, HL, LL).
Pivot Points: Optional display with labels.
3️⃣ Bar Coloring:
Blue: Close above PAC
Red: Close below PAC
Gray: Close inside PAC
4️⃣ Alerts:
Swing Buy/Sell arrows based on PAC breakout and EMA200 filter.
Optional “Big Arrows” mode for visibility.
Alert messages: "SWING_UP" and "SWING_DN"
5️⃣ Workflow / Usage Tips:
Set chart to 15-min (for trend) + 1-min (for entry).
Optionally enable Heikin Ashi candles.
Trade long only above EMA200, short only below EMA200.
Watch for pullbacks into EMA channels or ribbons.
Confirm trend resumption via PAC breakout & bar color change.
Use fractals and pivot points to draw trendlines and locate support/resistance.
6️⃣ Optional Filters:
Filter PAC signals with 200 EMA.
Filter fractals for “Pristine/Ideal” patterns (BW filter).
7️⃣ Visuals:
EMA ribbons, PAC fill, HH/LL squares, fractal triangles.
Pivot labels & candle numbering for patterns.
8️⃣ Notes:
No extra indicators needed except optionally SweetSpot Gold2 for major S/R levels.
Suitable for scalping pullbacks with trend confirmation.
If you want, I can make an even shorter “one-screen cheat sheet” with colors, alerts, and EMAs, perfect for real-time chart reference.
Do you want me to do that?
DAMMU Swing Trading PRODammu Scalping Pro – Short Notes
1️⃣ Purpose:
Scalping and swing trading tool for 15-min and 1-min charts.
Designed for trend continuation, pullbacks, and reversals.
Works well with Heikin Ashi candles (optional).
2️⃣ Core Components:
EMAs:
Fast: EMA5-12
Medium: EMA12-36 Ribbon
Long: EMA75/89 (1-min), EMA180/200 (15-min), EMA540/633
Price Action Channel (PAC): EMA-based High, Low, Close channel.
Fractals: Regular & filtered (BW) fractals for swing recognition.
Higher Highs / Lower Highs / Higher Lows / Lower Lows (HH, LH, HL, LL).
Pivot Points: Optional display with labels.
3️⃣ Bar Coloring:
Blue: Close above PAC
Red: Close below PAC
Gray: Close inside PAC
4️⃣ Alerts:
Swing Buy/Sell arrows based on PAC breakout and EMA200 filter.
Optional “Big Arrows” mode for visibility.
Alert messages: "SWING_UP" and "SWING_DN"
5️⃣ Workflow / Usage Tips:
Set chart to 15-min (for trend) + 1-min (for entry).
Optionally enable Heikin Ashi candles.
Trade long only above EMA200, short only below EMA200.
Watch for pullbacks into EMA channels or ribbons.
Confirm trend resumption via PAC breakout & bar color change.
Use fractals and pivot points to draw trendlines and locate support/resistance.
6️⃣ Optional Filters:
Filter PAC signals with 200 EMA.
Filter fractals for “Pristine/Ideal” patterns (BW filter).
7️⃣ Visuals:
EMA ribbons, PAC fill, HH/LL squares, fractal triangles.
Pivot labels & candle numbering for patterns.
8️⃣ Notes:
No extra indicators needed except optionally SweetSpot Gold2 for major S/R levels.
Suitable for scalping pullbacks with trend confirmation.
If you want, I can make an even shorter “one-screen cheat sheet” with colors, alerts, and EMAs, perfect for real-time charT
byquan AlphaTrend + Supertrend Combo🔍 Overview
The AlphaTrend + SuperTrend Combo is a smart confirmation-based trading indicator that blends two powerful trend-following systems — AlphaTrend and SuperTrend — into one unified tool.
Its main purpose is to filter out false breakouts and improve entry accuracy by waiting for both indicators to confirm a signal within a specified number of candles.
This combination gives traders high-confidence BUY and SELL signals, clearly marked on the chart, with optional alert notifications.
⚙️ How It Works
🧠 1. AlphaTrend Logic
The AlphaTrend component calculates dynamic support and resistance bands based on Average True Range (ATR) and Money Flow Index (MFI) or RSI (if no volume data).
It identifies momentum shifts using:
upT = Lower ATR band
downT = Upper ATR band
Depending on whether the MFI (or RSI) is above or below 50, AlphaTrend adapts to bullish or bearish conditions.
Signals:
✅ Buy Signal → When AlphaTrend crosses above its past level (momentum turning up).
❌ Sell Signal → When AlphaTrend crosses below its past level (momentum turning down).
📈 2. SuperTrend Logic
The SuperTrend indicator uses ATR to track trend direction based on price and volatility.
A green SuperTrend implies a bullish trend.
A red SuperTrend implies a bearish trend.
It triggers signals when trend direction changes:
✅ SuperTrend Buy → Price breaks above the SuperTrend line.
❌ SuperTrend Sell → Price drops below the SuperTrend line.
Users can choose whether to use the standard ATR or a smoothed ATR version for calculation (changeATR option).
🔄 3. Combo Confirmation Logic
The indicator’s core strength is signal confirmation.
When one indicator (AlphaTrend or SuperTrend) gives a signal, it waits for the other to confirm within a certain number of candles — defined by the “Wait Bars” input.
Example:
AlphaTrend gives a Buy → within the next 3 candles, if SuperTrend also turns bullish → confirmed BUY.
SuperTrend gives a Sell → within the next 3 candles, if AlphaTrend confirms → confirmed SELL.
This filtering greatly reduces false signals caused by volatility or short-term noise.
🧭 Inputs & Settings
Parameter Description
Wait Bars Number of candles to wait for confirmation from the other indicator.
Show Labels Toggle visibility of BUY/SELL labels on chart.
AlphaTrend Multiplier / Period / Source Adjusts AlphaTrend’s sensitivity.
Use RSI (no volume) If true, replaces MFI with RSI for instruments without volume data (e.g., crypto indexes).
SuperTrend ATR Period / Multiplier Controls SuperTrend sensitivity and reactivity.
Use Standard ATR? If disabled, uses smoothed ATR instead.
SuperTrend Source Usually hl2, but can be customized.
📊 Signals & Visualization
🟢 BUY Label: Both indicators confirm an uptrend.
🔴 SELL Label: Both indicators confirm a downtrend.
Labels appear directly on the chart (abovebar for SELL, belowbar for BUY).
Alerts are automatically triggered for both confirmed directions.
🔔 Alerts
Two alert conditions are built in:
"Combo BUY: AlphaTrend + SuperTrend confirmed!"
"Combo SELL: AlphaTrend + SuperTrend confirmed!"
You can use these in TradingView’s alert system to receive push notifications or email alerts.
💡 Trading Tips
✅ Works best on trending markets (crypto, forex, stocks).
✅ Use on 15m–4h timeframes for optimal balance between speed and reliability.
✅ Combine with volume or higher timeframe trend filters for stronger entries.
✅ Adjust Wait Bars (2–5) depending on volatility.
⚖️ Summary
The AlphaTrend + SuperTrend Combo helps traders trade confidently by requiring dual confirmation before signaling a trade.
Key Features:
Combines two proven trend systems.
Reduces false entries through confirmation logic.
Visual BUY/SELL markers.
Built-in alerts for both signals.
Customizable sensitivity and timeframe adaptability.
🎯 Trade only when AlphaTrend and SuperTrend agree — let the market confirm your direction.
byquan GP - SRSI Channel🔍 What Is It?
The GP – SRSI Channel is a momentum-based oscillator that measures the relative strength of price movements across multiple timeframes using the Stochastic RSI (SRSI) method.
Instead of using a single RSI line, this indicator analyzes four price inputs and four timeframes to create a dynamic channel that reflects the true market momentum — helping traders identify overbought and oversold zones with higher accuracy.
⚙️ How It Works
The indicator combines multiple layers of analysis to produce a smooth and reliable momentum channel.
1. Multi-Source RSI Calculation
It computes RSI and Stochastic RSI values for four different price sources:
Open
High
Low
Close
Each source generates its own SRSI value:
dsopen, dshigh, dslow, and dsclose
From these, it extracts:
starraymin: the lowest (most oversold) SRSI value
starraymax: the highest (most overbought) SRSI value
This forms a momentum range based on all price inputs.
2. Multi-Timeframe (MTF) Integration
To strengthen signal reliability, it repeats this SRSI analysis across four higher timeframes (configurable by user):
Parameter Default Value Meaning
Time 1 180 minutes 3-hour chart
Time 2 360 minutes 6-hour chart
Time 3 720 minutes 12-hour chart
Time 4 1D Daily chart
Each timeframe produces its own set of minimum, maximum, and close SRSI values.
These are then combined and normalized to a 0–100 scale.
3. Normalization and Channel Plot
The combined results create three main lines:
Min Line (Green–Red gradient) → represents oversold strength
Max Line (Green–Red gradient) → represents overbought strength
Close Line (White) → represents average SRSI value
The area between the Min and Max lines is filled with a color gradient to form the SRSI Channel, visually showing momentum strength and range.
4. Signal & Alerts
Two alert levels are defined:
Alert Min Level → Default = 5 (oversold)
Alert Max Level → Default = 95 (overbought)
When:
oranmin ≤ Alert Min Level → Market is in an oversold state (potential reversal up).
oranmax ≥ Alert Max Level → Market is in an overbought state (potential reversal down).
When either of these thresholds is crossed, the indicator triggers:
A white square marker on the chart.
A custom alert with the message:
“SRSI Channel reached alert threshold (oranmax ≥ MaxLevel or oranmin ≤ MinLevel)”
🧭 How to Use It
🪄 Step 1 — Add to Chart
Copy the code into a new Pine Script in TradingView.
Click Add to chart.
You’ll see three lines and a colored channel between them.
⚙️ Step 2 — Adjust Inputs
Core SRSI Settings
Setting Description
K, D Smoothing factors for Stochastic RSI.
RSI Length Number of bars for RSI calculation.
S Length Period used for %K in Stochastic RSI.
Alert Min/Max Level Defines oversold/overbought zones.
Multi-Timeframe Settings
Change Time 1 to Time 4 to suit your trading style:
Shorter timeframes → faster but more noise.
Longer timeframes → smoother, more reliable momentum.
📈 Step 3 — Interpret the Chart
Indicator Element Meaning
🟩 Lower Boundary (Min) Lowest SRSI reading → momentum weakness / possible rebound area
🟥 Upper Boundary (Max) Highest SRSI reading → strong momentum / possible exhaustion
⚪ Middle Line (Close) Average of all SRSI readings → overall momentum strength
🌈 Channel Fill Visualizes balance between overbought and oversold levels
When the channel widens → market volatility and strength increase.
When it narrows → consolidation or low-momentum phase.
🔔 Step 4 — Alerts
You can create alerts using:
Condition: SRSI Extreme
Message: SRSI Channel reached alert threshold
Use this to receive notifications when the market hits extreme momentum levels (great for reversal traders).
💡 Trading Tips
✅ Combine with Supertrend, MACD, or Moving Averages for confirmation.
✅ Look for SRSI extremes aligning with price support/resistance for stronger reversal entries.
✅ Use different timeframe combinations (e.g., 1H–4H–12H–1D) depending on your trading style.
✅ Treat it as a momentum filter — not a direct buy/sell signal tool.
⚖️ Summary
The GP – SRSI Channel is a sophisticated multi-timeframe momentum indicator that helps traders visualize market strength and identify overbought or oversold conditions with exceptional clarity.
Features:
4 price sources × 4 timeframes = deep momentum insight
Dynamic, color-coded SRSI channel
Built-in alert system for extreme conditions
Clean and intuitive visual design
Best suited for:
Swing and position traders
Traders who use RSI/Stoch indicators
Those seeking to confirm entries with multi-timeframe momentum data
🎯 Understand the market’s true momentum — before it moves.
GpPa - Φ Frames (V5.0.1)# GpPa — Φ Frames (V5.0.1)
**What it does**
This tool overlays nine “Phi Frames” on your chart. Each frame builds a dynamic price **box** from the **highest high** and **lowest low** over a user-defined lookback on a fixed timeframe. The boxes help you read structure, extremes, and balance zones across multiple scales in one view. No signals are generated.
**How it works (simple)**
* For every frame, the script requests data at a fixed resolution (e.g., 1D, 610m, 233m, 89m, etc.).
* It scans the last *N* bars at that resolution (your input).
* It draws a box from the start of that window to the current time, bounded by the window’s high and low.
* Optional “Re-Analysis Zone” guides project a vertical line into the future at a user-set offset, giving you a planning marker.
**Frames included**
* **M1** – 1D resolution (default length 258 bars)
* **M2** – 1D resolution (default length 160 bars)
* **M3** – 610-minute resolution (default length 233 bars)
* **M4** – 233-minute resolution (default length 377 bars)
* **M5** – 89-minute resolution (default length 610 bars)
* **M6** – 34-minute resolution (default length 987 bars)
* **M7** – 13-minute resolution (default length 1597 bars)
* **M8** – 5-minute resolution (default length 2584 bars)
* **M9** – 2-minute resolution (default length 4181 bars)
These durations follow a Fibonacci/Φ scheme. Using multiple frames together reveals confluence and nested ranges.
**Inputs & customization**
* **Per-frame controls:**
* *Length (bars)* — lookback window at the frame’s resolution.
* *Show/Hide* — toggle a frame on or off.
* *Color* — box border color.
* **Re-Analysis Zone (M4, M5, M6):**
* *Offset (bars)* — projects a future reference time from the right edge of the box.
* *Show/Hide* and *Color.*
* The line spans slightly above and below the box (+/-10% of its height) for visibility.
**Tips**
* Start with 2–3 frames to reduce clutter. Add more as needed.
* On lower chart resolutions, higher-timeframe boxes will “step” at their own closes.
* Use frames as context for your own entries, risk, and targets.
* Colors are semi-transparent by design so overlaps remain readable.
**Behavior & notes**
* Boxes update intrabar; values settle when the source timeframe closes.
* No alerts, signals, or strategy logic are included.
* Works on any symbol and timeframe.
* Overlay: **true**.
**Disclaimer**
This tool is for educational and informational purposes only. It is not financial advice. Always do your own research and manage risk.
**Credits**
Pine Script™ v6. © thewayofrichie.
Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)This indicator — “Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)” — automatically detects and visualizes swing highs, swing lows, and liquidity levels on the chart with rich analytics and customizable visuals.
🔍 Core Features
Smart Swing Detection: Identifies pivot highs/lows based on adjustable left/right bar settings.
Liquidity Visualization: Draws dynamic boxes and lines for liquidity pools and swing zones.
Volume & OI Integration: Filters and colors levels using volume and Open Interest Δ (change).
Strength Meter: Highlights strong liquidity levels with color gradients based on OI + volume intensity.
Automatic Trendlines: Connects swing points with selectable style and width.
Fibonacci Mapping: Automatically projects fib retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) from swing-to-swing for confluence zones.
Statistics Panel: Displays live metrics — total levels, active/filled count, success rate, and average strength.
Alerts System: Alerts for new swing formations and when price touches or breaks a level.
Multi-Timeframe Option: Analyze swing structures from higher timeframes on any chart.
Dual Theme Mode: Fully optimized for both Dark and Light interface preferences.
⚙️ Advanced Options
Adjustable lookback range
Hide or extend filled levels
Configurable volume and OI thresholds
Supports multiple OI data sources (Binance, BitMEX, Kraken)
Fully dynamic text, color, and label alignment settings
💡 Use Case
Perfect for Smart Money Concept (SMC) and ICT-style analysis, liquidity sweeps, and swing-based trading.
Traders can quickly visualize where liquidity sits, track how it gets filled, and monitor structure shifts in real time.
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap!
🧠 Description
This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure.
🔍 Why Friday & Monday matter
Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias.
Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders.
Together, these two days define the range traps and breakout zones that often control price action until midweek.
> In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike.
🧩 What this tool does
✅ Highlights Friday (red) and Monday (green) sessions
✅ Adds optional day labels above bars
✅ Works across all timeframes (best on 15min to 1hr charts)
✅ Helps you visually identify where institutions likely built their positions
Use it to quickly spot:
* Range boundaries that trap traders
* Gap zones likely to get filled
* High–low sweeps before reversals
⚙️ Recommended Use
1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday.
2. When Monday holds above Friday’s high , breakout continuation is likely.
3. When Monday fails below Friday’s low , expect a reversal or trap.
4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation.
⚠️ Disclaimer
This indicator is for **educational and analytical purposes only**.
It does **not constitute financial advice** or a trading signal.
Markets are dynamic — always perform your own research before trading or investing.
Tweezer & Kangaroo Zones [WavesUnchained]Tweezer & Kangaroo Zones
Pattern Recognition with Supply/Demand Zones
Indicator that detects tweezer and kangaroo tail (pin bar) reversal patterns and creates supply and demand zones. Includes volume validation, trend context, and confluence scoring.
What You See on Your Chart
Pattern Labels:
"T" (Red) - Tweezer Top detected above price → Bearish reversal signal
"T" (Green) - Tweezer Bottom detected below price → Bullish reversal signal
"K" (Red) - Kangaroo Bear (Pin Bar rejection from top) → Bearish signal
"K" (Green) - Kangaroo Bull (Pin Bar rejection from bottom) → Bullish signal
Label Colors Indicate Pattern Strength:
Dark Green/Red - Strong pattern (score ≥8.0)
Medium Green/Red - Good pattern (score ≥6.0)
Light Green/Red - Valid pattern (score <6.0)
Zone Boxes:
Red Boxes - Supply Zones (resistance, potential short areas)
Green Boxes - Demand Zones (support, potential long areas)
White Border - Active zone (fresh, not tested yet)
Gray Border - Inactive zone (expired or invalidated)
Pattern Detection
Tweezer Patterns (Classic Double-Top/Bottom):
Flexible Lookback - Detects patterns up to 3 bars apart (not just consecutive)
Precision Matching - 0.2% level tolerance for high-quality signals
Wick Similarity Check - Both candles must show similar rejection wicks
Volume Validation - Second candle requires elevated volume (0.8x average)
Pattern Strength Score - 0-1 quality rating based on level match + wick similarity
Optional Trend Context - Can require trend alignment (default: OFF for more signals)
Kangaroo Tail / Pin Bar Patterns:
No Pivot Delay - Instant detection without waiting for pivot confirmation
Body Position Check - Body must be at candle extremes (30% tolerance)
Volume Spike - Rejection must occur with volume (0.9x average)
Rejection Strength - Scores based on wick length (0.5-0.9 of range)
Optional Trend Context - Bearish in uptrends, Bullish in downtrends (default: OFF)
Zone Management
Auto-Created Zones - Every valid pattern creates a supply/demand zone
Overlap Prevention - Zones too close together (50% overlap) are not duplicated
Lifetime Control - Zones expire after 400 bars (configurable)
Smart Invalidation - Zones invalidate when price closes through them
Styling Options - Choose between Solid, Dashed, or Dotted borders
Border Width - 2px width for better visibility
Confluence Scoring System
Multi-factor confluence scoring (0-10 scale) with configurable weights:
Regime (EMA+HTF) - Trend alignment across timeframes (Weight: 2.0)
HTF Stack - Multi-timeframe trend confluence (Weight: 3.0)
Structure - Higher lows / Lower highs confirmation (Weight: 1.0)
Relative Volume - Volume surge validation (Weight: 1.0)
Chop Advantage - Favorable market conditions (Weight: 1.0)
Zone Thinness - Tight zones = better R/R (Weight: 1.0)
Supertrend - Trend indicator alignment (Weight: 1.0)
MOST - Moving Stop alignment (Weight: 1.0)
Pattern Strength - Quality of detected pattern (Weight: 1.5)
Zone Retest Signals
Signals generated when zones are retested:
BUY Signal - Price retests demand zone from above (score ≥4.5)
SELL Signal - Price retests supply zone from below (score ≥5.5)
Normalized Score - Displayed as 0-10 for easy interpretation
Optional Trend Gate - Require trend alignment for signals (default: OFF)
Alert Ready - Built-in alertconditions for automation
Additional Features
Auto-Threshold Tuning - Adapts to ATR and Choppiness automatically
Session Profiles - Different settings for RTH vs ETH sessions
Organized Settings - 15+ input groups for easy configuration
Optional Panels - HTF Stack overview and performance metrics (default: OFF)
Data Exports - Hidden plots for strategy/library integration
RTA Health Monitoring - Built-in performance tracking
Setup & Configuration
Quick Start:
1. Apply indicator to any timeframe
2. Patterns and zones appear automatically
3. Adjust pattern detection sensitivity if needed
4. Configure zone styling (Solid/Dashed/Dotted)
5. Set up alerts for zone retests
Key Settings to Adjust:
Pattern Detection:
• Min RelVolume: Lower = more signals (0.8 Tweezer, 0.9 Kangaroo)
• Require trend context: Enable for stricter, higher-quality patterns
• Check wick similarity: Ensures proper rejection structure
Zone Management:
• Zone lifetime: How long zones remain active (default: 400 bars)
• Invalidate on close-through: Remove zones when price breaks through
• Max overlap: Prevent duplicate zones (default: 50%)
Scoring:
• Min Score BUY/SELL: Higher = fewer but better signals (default: 4.5/5.5)
• Component weights: Customize what factors matter most
• Signals require trend gate: OFF = more signals, ON = higher quality
Visual Customization
Zone Colors - Light red/green with 85% transparency (non-intrusive)
Border Styles - Solid, Dashed, or Dotted
Label Intensity - Darker greens for better readability
Clean Charts - All panels OFF by default
Understanding the Zones
Supply Zones (Red):
Created from bearish patterns (Tweezer Tops, Kangaroo Bears). Price made a high attempt to push higher, but was rejected. These become resistance areas where sellers may step in again.
Demand Zones (Green):
Created from bullish patterns (Tweezer Bottoms, Kangaroo Bulls). Price made a low with strong rejection. These become support areas where buyers may step in again.
Zone Quality Indicators:
• White border = Fresh zone, not tested yet
• Gray border = Zone expired or invalidated
• Thin zones (tight range) = Better risk/reward ratio
• Thick zones = Less precise, wider stop required
Trading Applications
Reversal Trading - Enter at pattern detection with tight stops
Zone Retest Trading - Wait for retests of established zones
Trend Confluence - Trade only when patterns align with trend
Risk Management - Use zone boundaries for stop placement
Target Setting - Opposite zones become profit targets
Pro Tips
Best signals occur when pattern + zone retest + trend all align
Lower timeframes = more signals but more noise
Higher timeframes = fewer but more reliable signals
Start with default settings, adjust based on your market
Combine with other analysis (structure, key levels, etc.)
Use alerts to avoid staring at charts all day
Important Notes
Not all patterns will lead to successful trades
Use proper risk management and position sizing
Patterns work best in trending or range-bound markets
Very choppy conditions may produce lower-quality signals
Always confirm with your own analysis before trading
Technical Specifications
• Pine Script v6
• RTA-Core integration
• RTA Core Library integration
• Maximum 200 boxes, 500 labels
• Auto-tuning based on ATR and Choppiness
• Session-aware threshold adjustments
• Memory-optimized zone management
What's Included
Tweezer Top/Bottom detection
Kangaroo Tail / Pin Bar detection
Automatic supply/demand zone creation
Volume validation system
Pattern strength scoring
Zone retest signals
Multi-factor confluence scoring
Optional HTF Stack panel
Optional performance metrics
Session profile support
Auto-threshold tuning
Alert conditions
Data exports for strategies
Author Waves Unchained
Version 1.0
Status Public Indicator
Summary
Reversal pattern detection with zone management, volume validation, and confluence scoring for tweezer and kangaroo tail patterns.
---
Disclaimer: This indicator is for educational and informational purposes only. Trading involves risk. Past performance does not guarantee future results. Always practice proper risk management.
Volume BubblesVolume Bubbles Indicator
Introduction
The Volume Bubbles indicator is a powerful tool designed to visually highlight significant volume spikes on your TradingView charts. It helps traders identify potential areas of whale accumulation (large buying activity) or dumping (large selling activity) by displaying colored bubbles on candles where volume exceeds a customizable threshold. Green bubbles indicate bullish (buy) volume on up candles, suggesting possible accumulation, while red bubbles signal bearish (sell) volume on down candles, indicating potential dumping. The bubble size scales with the volume magnitude, making it easy to spot major market moves at a glance.
This indicator is particularly useful for crypto, forex, and stock traders looking to gauge market sentiment and large player involvement without cluttering the chart. It's built in Pine Script v5 and overlays directly on your price action.
How It Works
The indicator calculates a moving average of volume (default: 20-period SMA) and detects spikes when current volume exceeds this average by a multiplier (default: 2x).
Buy Bubbles (Green): Appear on bullish candles (close >= open) at the low wick, representing potential whale buying or accumulation zones.
Sell Bubbles (Red): Appear on bearish candles (close < open) at the high wick, indicating potential whale selling or dumping zones.
Bubble Size: Dynamically sized based on volume thresholds – huge for >1M, large for 500K-1M, normal for <500K.
Transparency: Increases with volume ratio for better visibility on extreme spikes.
Tooltip:
Hover over a bubble to see detailed info like total volume, average volume, and ratio.
By focusing on these high-volume events, traders can spot key support/resistance levels where whales might be active.
How to Use for Whale Accumulation and Dumping
Whales (large holders) often move markets with high-volume trades. This indicator helps spot them:
Accumulation (Buying): Look for clusters of large green bubbles at price lows or during consolidations. This suggests whales are buying dips, potentially signaling a reversal or uptrend start. Combine with support levels for confirmation.
Dumping (Selling): Watch for big red bubbles at price highs or after rallies. This indicates whales unloading positions, which could lead to downtrends or corrections. Pair with resistance levels.
Tips:
Use on higher timeframes (e.g., 1H+) for reliable signals.
Confirm with other indicators like RSI or MACD to avoid false positives.
In trending markets, buy bubbles in uptrends confirm strength; sell bubbles in downtrends signal continuation.
Credits and Disclaimer
Inspired by volume analysis techniques. This is free to use; feedback welcome! Not financial advice – trade at your own risk.
Digital RPM HUD — 4 Feeds + Confidence + Timeline (v3)🏎️ Digital RPM HUD — 4 Feeds + Confidence + Timeline (v3)
A performance-style trading dashboard for momentum-driven traders.
The Digital RPM HUD gives you an instant visual readout of market “engine speed” — combining four customizable data feeds (Trend, Momentum, Volume, Volatility) into a single confidence score (0–100) and a color-coded timeline of regime changes.
Think of it as a racing-inspired control panel: you only “hit the throttle” when confidence is high and all systems agree.
🔧 Key Features
4 Data Feeds – assign your own logic (EMA, RSI, RVOL, ATR, etc.).
Confidence Meter – blends the four feeds into one smooth 0–100 reading.
Timeline Strip – shows recent bullish / bearish / neutral states at a glance.
Visual Trade Cues – optional on-chart LONG / SHORT / EXIT markers.
Fully Customizable – thresholds, weights, smoothing, colors, layout.
HUD Overlay – clean, minimal, and adjustable to any corner of your chart.
💡 How to Use
Configure each feed to reflect your preferred signals (e.g., trend EMA 200, momentum RSI 14, volume RVOL 20, volatility ATR 14).
Watch the Confidence gauge:
✅ Above Bull Threshold → Market acceleration / long bias.
❌ Below Bear Threshold → Momentum loss / short bias.
⚪ Between thresholds → Neutral zone; stay patient.
Use the Timeline to confirm trend consistency — more green = bullish regime, more red = bearish.
⚙️ Recommended Setups
Scalping: Trend EMA 50 + RSI 7 + RVOL 10 + ATR 7 → Fast response.
Intraday: EMA 200 + RSI 14 + RVOL 20 + ATR 14 → Balanced signal.
Swing: Multi-TF Trend + MACD + RVOL + ATR → Smooth and steady.
⚠️ Disclaimer
This script is not a trading strategy and does not execute trades.
All signals are visual aids — always confirm with your own analysis and risk management.
TradeScope: MA Reversion • RVOL • Trendlines • GAPs • TableTradeScope is an all-in-one technical analysis suite that brings together price action, momentum, volume dynamics, and trend structure into one cohesive and fully customizable indicator.
An advanced, modular trading suite that combines moving averages, reversion signals, RSI/CCI momentum, relative volume, gap detection, trendline analysis, and dynamic tables — all within one powerful dashboard.
Perfect for swing traders, intraday traders, and analysts who want to read price strength, volume context, and market structure in real time.
⚙️ Core Components & Inputs
🧮 Moving Average Settings
Moving Average Type & Length:
Choose between SMA or EMA and set your preferred period for smoother or more reactive trend tracking.
Multi-MA Plotting:
Up to 8 customizable moving averages (each with independent type, color, and length).
Includes a “window filter” to show only the last X bars, reducing chart clutter.
MA Reversion Engine:
Detects when price has extended too far from its moving average.
Reversion Lookback: Number of bars analyzed to determine historical extremes.
Reversion Threshold: Sensitivity multiplier—lower = more frequent signals, higher = stricter triggers.
🔄 Trend Settings
Short-Term & Long-Term Trend Lookbacks:
Uses linear regression to detect the slope and direction of the short- and long-term trend.
Results are displayed in the live table with color-coded bias:
🟩 Bullish | 🟥 Bearish
📈 Momentum Indicators
RSI (Relative Strength Index):
Adjustable period; displays the current RSI value, overbought (>70) / oversold (<30) zones, and trending direction.
CCI (Commodity Channel Index):
Customizable length with color-coded bias:
🟩 Oversold (< -100), 🟥 Overbought (> 100).
Tooltip shows whether the CCI is trending up or down.
📊 Volume Analysis
Relative Volume (RVOL):
Estimates end-of-day projected volume using intraday progress and compares it against the 20-day average.
Displays whether today’s volume is expected to exceed yesterday’s, and highlights color by strength.
Volume Trend (Short & Long Lookbacks):
Visual cues for whether current volume is above or below short-term and long-term averages.
Estimated Full-Day Volume & Multiplier:
Converts raw volume into “X” multiples (e.g., 2.3X average) for quick interpretation.
🕳️ Gap Detection
Automatically identifies and plots bullish and bearish price gaps within a defined lookback period.
Gap Lookback: Defines how far back to search for gaps.
Gap Line Width / Visibility: Controls the thickness and display of gap lines on chart.
Displays the closest open gap in the live table, including its distance from current price (%).
🔍 ATR & Volatility
14-day ATR (% of price):
Automatically converts the Average True Range into a percent, providing quick volatility context:
🟩 Low (<3%) | 🟨 Moderate (3–5%) | 🟥 High (>5%)
💬 Candlestick Pattern Recognition
Auto-detects popular reversal and continuation patterns such as:
Bullish/Bearish Engulfing
Hammer / Hanging Man
Shooting Star / Inverted Hammer
Doji / Harami / Kicking / Marubozu / Morning Star
Each pattern is shown with contextual color coding in the table.
🧱 Pivot Points & Support/Resistance
Optional Pivot High / Pivot Low Labels
Adjustable left/right bar lengths for pivot detection
Theme-aware text and label color options
Automatically drawn diagonal trendlines for both support and resistance
Adjustable line style, color, and thickness
Detects and tracks touches for reliability
Includes breakout alerts (with optional volume confirmation)
🚨 Alerts
MA Cross Alerts:
Triggers when price crosses the fast or slow moving average within a tolerance band (default ±0.3%).
Diagonal Breakout Alerts:
Detects and alerts when price breaks diagonal trendlines.
Volume-Confirmed Alerts:
Filters breakouts where volume exceeds 1.5× the 20-bar average.
🧾 Live Market Table
A fully dynamic table displayed on-chart, customizable via input toggles:
Choose which rows to show (e.g., RSI, ATR, RVOL, Gaps, CCI, Trend, MA info, Diff, Low→Close%).
Choose table position (top-right, bottom-left, etc.) and text size.
Theme selection: Light or Dark
Conditional background colors for instant visual interpretation:
🟩 Bullish or Oversold
🟥 Bearish or Overbought
🟨 Neutral / Moderate
🎯 Practical Uses
✅ Identify confluence setups combining MA reversion, volume expansion, and RSI/CCI extremes.
✅ Track trend bias and gap proximity directly in your dashboard.
✅ Monitor relative volume behavior for intraday strength confirmation.
✅ Automate MA cross or breakout alerts to stay ahead of key price action.
🧠 Ideal For
Swing traders seeking confluence-based setups
Intraday traders monitoring multi-factor bias
Analysts looking for compact market health dashboards
💡 Summary
TradeScope is designed as a single-pane-of-glass market view — combining momentum, trend, volume, structure, and reversion into one clear visual system.
Fully customizable. Fully dynamic.
Use it to see what others miss — clarity, confluence, and confidence in every trade.
EMA 9/20 Crossover AlertThis EMA 9/20 Crossover Alert indicator is a technical tool used on price charts to detect and notify traders when the short-term 9-period Exponential Moving Average (EMA) crosses above or below the longer-term 20-period EMA. This crossover often signals potential shifts in market momentum, signaling possible buy or sell opportunities. The indicator visually plots both EMAs on the chart and creates alert conditions so traders can be promptly informed of these crossover events, aiding in timely decision-making without needing to constantly watch the chart. It is widely used in momentum and trend-following trading strategies to identify trend reversals or continuations
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial
Table of Contents
Installation
Understanding the Indicator
Signal Interpretation
Settings Configuration
Trading Strategies
Best Practices
Common Mistakes to Avoid
1. Installation {#installation}
Step-by-Step Setup:
Step 1: Access TradingView
Go to TradingView.com
Log in to your account (free account works fine)
Step 2: Open Pine Editor
Click on "Pine Editor" at the bottom of the chart
If you don't see it, go to the top menu and select "Pine Editor"
Step 3: Add the Script
Click "New" to create a new indicator
Delete any default code
Copy the entire Institutional Activity Detector code
Paste it into the editor
Step 4: Save and Apply
Click "Save" (give it a name like "Inst Detector")
Click "Add to Chart"
The indicator will now appear on your chart
2. Understanding the Indicator {#understanding}
What It Detects:
This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing:
Volume Analysis
Detects unusual volume spikes that indicate large players entering
Compares current volume to 20-period average
Institutional trades create volume 2-5x normal levels
Order Flow
Delta: Difference between buying and selling volume
Positive delta = More buying pressure
Negative delta = More selling pressure
Institutions leave "footprints" in order flow
Price Action Patterns
Bullish Rejection Wicks:
| <- Small upper wick
|
███ <- Small body
███
|
|
| <- Large lower wick (rejection)
Indicates institutions bought aggressively at lower prices
Bearish Rejection Wicks:
|
|
| <- Large upper wick (rejection)
|
███ <- Small body
███
| <- Small lower wick
Indicates institutions sold aggressively at higher prices
Liquidity Grabs
Institutions often:
Push price above resistance or below support
Trigger stop losses (grab liquidity)
Reverse direction and trade the other way
Dark Pool Activity
Large block trades executed off-exchange:
High volume with minimal price movement
Indicates institutional accumulation/distribution without moving price
3. Signal Interpretation {#signals}
Signal Types:
🟢 INSTITUTIONAL BUY Signal
Appears as green triangle below candle with strength number (2-5)
What it means:
Institutions are actively accumulating (buying)
Higher strength = More confirmation factors
Strength Levels:
2-3: Moderate confidence - Wait for confirmation
4: High confidence - Strong institutional interest
5: Maximum confidence - Multiple factors aligned
🔴 INSTITUTIONAL SELL Signal
Appears as red triangle above candle with strength number (2-5)
What it means:
Institutions are actively distributing (selling)
Higher strength = More confirmation factors
🟠 Dark Pool (DP) Marker
Small orange diamond
What it means:
Large block trade executed
Accumulation/distribution happening quietly
Often precedes significant moves
Liquidity Zones
Red boxes above price = Resistance/sell liquidity
Green boxes below price = Support/buy liquidity
Institutions target these zones to trigger stops
4. Settings Configuration {#settings}
Recommended Settings by Asset Type:
For Stocks (SPY, AAPL, TSLA):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 1H
For Forex (EUR/USD, GBP/USD):
Volume Spike Multiplier: 1.5
Volume Average Period: 30
Delta Threshold: 65%
Minimum Signal Strength: 3
Timeframe: 15m, 1H, 4H
For Crypto (BTC, ETH):
Volume Spike Multiplier: 2.5
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 4
Timeframe: 15m, 1H, 4H
For Futures (ES, NQ):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 75%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 30m
Parameter Explanations:
Volume Spike Multiplier (1.0 - 10.0)
Lower = More sensitive (more signals, some false)
Higher = Less sensitive (fewer signals, more reliable)
Start with 2.0 and adjust based on your asset's volatility
Delta Threshold % (50 - 100)
Measures buying vs selling pressure
70% = Strong institutional bias required
Lower for ranging markets, higher for trending
Minimum Signal Strength (2 - 5)
Number of factors that must align for a signal
2 = Very sensitive (many signals)
5 = Very conservative (rare signals)
Recommended: 3-4 for balance
5. Trading Strategies {#strategies}
Strategy 1: Liquidity Grab Reversal
Setup:
Price approaches a liquidity zone (green/red box)
Price penetrates the zone briefly
Institutional BUY/SELL signal appears
Price reverses away from the zone
Entry:
Enter on the signal candle close
Or wait for next candle confirmation
Stop Loss:
Below the liquidity grab low (for buys)
Above the liquidity grab high (for sells)
Take Profit:
2:1 or 3:1 risk/reward ratio
Or next opposing liquidity zone
Example:
Price drops below support → Triggers stops →
Institutional BUY signal (4-5 strength) →
Enter LONG → Price rallies
Strategy 2: Trend Continuation
Setup:
Identify the trend (higher highs/higher lows for uptrend)
Wait for pullback to support in uptrend
Institutional BUY signal appears during pullback
Confirms institutions are adding to positions
Entry:
Enter on signal with strength ≥ 4
Or next candle after signal
Stop Loss:
Below the pullback low + small buffer
Take Profit:
Previous swing high
Or trailing stop using ATR
Strategy 3: Dark Pool Accumulation
Setup:
Dark Pool (DP) markers appear multiple times
Price consolidates in tight range
Institutional BUY signal with high strength appears
Breakout occurs
Entry:
Enter on breakout candle after signal
Or on retest of breakout level
Stop Loss:
Below consolidation range
Take Profit:
Measured move (height of consolidation projected)
Strategy 4: Divergence Play
Setup:
Price makes lower low
MFI/RSI makes higher low (bullish divergence)
Institutional BUY signal appears
Volume confirms with spike
Entry:
Enter on signal candle or next
Stop Loss:
Below the divergence low
Take Profit:
Previous swing high or resistance
6. Best Practices {#best-practices}
✅ DO's:
1. Use Multiple Timeframes
Check higher timeframe for trend direction
Trade signals that align with higher timeframe
Example: 15m signals in direction of 1H trend
2. Combine with Key Levels
Support/resistance
Supply/demand zones
Previous day high/low
Round numbers (psychological levels)
3. Wait for Confirmation
Don't rush into trades
Let the signal candle close
Watch next candle for follow-through
4. Check the Metrics Table
Look at Relative Volume (should be >2.0)
Check Delta % (should be strong positive/negative)
Verify Order Flow aligns with signal
5. Consider Market Context
News events can override signals
Low liquidity times (lunch, overnight) less reliable
Major economic releases need caution
6. Paper Trade First
Test the indicator for 2-4 weeks
Learn how it behaves on your chosen assets
Develop confidence before using real money
Best Times to Trade:
Stock Market Hours:
9:30-11:30 AM EST (high volume, strong moves)
2:00-4:00 PM EST (institutional positioning)
Avoid: 11:30 AM-2:00 PM (lunch, low volume)
Forex:
London Open: 3:00-6:00 AM EST
New York Open: 8:00-11:00 AM EST
London/NY Overlap: 8:00 AM-12:00 PM EST
Crypto:
24/7 market, but highest volume during US/European hours
Watch for weekend low liquidity
7. Common Mistakes to Avoid {#mistakes}
❌ DON'T:
1. Trade Every Signal
Not all signals are equal
Focus on strength 4-5 signals
Wait for optimal setups
2. Ignore Market Structure
Don't buy into strong downtrends (catch falling knife)
Don't sell into strong uptrends (fight the tape)
Respect major support/resistance
3. Use Too Small Timeframes
1m and 2m charts are too noisy
Minimum recommended: 5m for scalping
Better: 15m, 30m, 1H for reliability
4. Overtrade
Quality over quantity
2-5 good trades per day is excellent
Forcing trades leads to losses
5. Ignore Risk Management
Always use stop losses
Risk only 1-2% per trade
Don't revenge trade after losses
6. Trade During Low Volume
Signals less reliable with low volume
Check Relative Volume metric (should be >1.5)
Avoid pre-market/after-hours for stocks
7. Misread Liquidity Grabs
Not every wick is a liquidity grab
Need volume confirmation
Must have institutional signal
Advanced Tips:
Filtering False Signals:
Use Signal Strength Filter:
Minimum strength 3 = Balanced
Minimum strength 4 = Conservative (recommended)
Minimum strength 5 = Ultra conservative
Confluence Checklist:
Signal strength ≥ 4
Relative volume > 2.0
At key support/resistance
Aligns with higher timeframe trend
Delta % strongly positive/negative
Clean price action setup
If 4+ boxes checked = High probability trade
Setting Up Alerts:
Click the three dots on the indicator
Select "Create Alert"
Choose condition:
"Institutional Buy Signal"
"Institutional Sell Signal"
"Dark Pool Activity"
Set up notification (email, SMS, app)
Save alert
Alert Strategy:
Set minimum strength to 4 for fewer, better alerts
Use for assets you can't watch constantly
Don't rely solely on alerts - check chart context
Practice Exercise:
Week 1-2: Observation
Add indicator to your favorite assets
Watch how signals develop
Note which ones lead to profitable moves
Don't trade yet - just observe
Week 3-4: Paper Trading
Use TradingView's paper trading
Trade only strength 4-5 signals
Record results in a journal
Note: entry, exit, profit/loss, what worked/didn't
Week 5+: Small Live Positions
Start with smallest position size
Trade only your best setups
Gradually increase size as you gain confidence
Keep detailed journal
Quick Reference Card:
Signal Quality Ranking:
🔥 Best Setups (Take These):
Strength 5 + Liquidity grab + Key level
Strength 4-5 + Volume >3.0 + Trend alignment
Dark Pool markers + Strength 4+ signal
✅ Good Setups:
Strength 4 at support/resistance
Strength 3-4 with strong delta
Liquidity grab + Strength 3+
⚠️ Caution (Wait for More):
Strength 2-3 in middle of nowhere
Against higher timeframe trend
Low volume (Rel Vol <1.5)
❌ Avoid:
Strength 2 only
During major news
Low liquidity hours
Against strong trend
Troubleshooting:
"Too many signals"
→ Increase Minimum Signal Strength to 4
→ Increase Volume Spike Multiplier to 2.5-3.0
"Too few signals"
→ Decrease Minimum Signal Strength to 2-3
→ Decrease Volume Spike Multiplier to 1.5
"Signals not working"
→ Check if you're trading during low volume hours
→ Verify you're using recommended timeframes
→ Make sure signals align with market structure
"Can't see liquidity zones"
→ Enable "Show Liquidity Zones" in settings
→ Adjust Swing Detection Length (try 7-15)
Resources for Further Learning:
Concepts to Study:
Order Flow Trading
Market Profile / Volume Profile
Smart Money Concepts (SMC)
Liquidity Sweeps and Stop Hunts
Institutional Order Flow
Wyckoff Method
Volume Spread Analysis (VSA)
Recommended Practice:
Study past signals on chart
Replay market using TradingView's bar replay feature
Join trading communities to share setups
Keep a detailed trading journal
Final Thoughts:
This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires:
Proper risk management
Market context understanding
Patience and discipline
Continuous learning
Success Formula:
Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits
Start slow, master the basics, and gradually increase complexity as you gain experience.
Good luck and trade smart! 📊📈
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts.
Core Components
1. Camarilla Pivots:
These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close.
The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines.
H4: Aggressive resistance (used for breakout LONG entry)
H3: Moderate resistance/support (used for bounce or stoploss)
L4: Aggressive support (used for breakout SHORT entry)
L3: Moderate support/resistance (used for bounce or stoploss)
2. 20 EMA (Exponential Moving Average):
Plotted on the 30-minute chart, this acts as a trend filter.
If the price is above 20 EMA: Only look for long trades (bullish bias).
If below 20 EMA: Only look for short trades (bearish bias).
How the Strategy Works
Setup (30-Min Chart):
Camarilla pivots for the day are drawn on the chart.
20 EMA is also plotted.
Trade Filter:
Bullish: Trade ONLY if price is above 20 EMA.
Bearish: Trade ONLY if price is below 20 EMA.
Entry:
LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA.
SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA.
Stop Loss:
LONG: Place stoploss at H3 (the next lower Camarilla resistance).
SHORT: Place stoploss at L3 (the next higher Camarilla support).
Target:
Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2).
For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss).
Alerts & Visuals:
The strategy plots entry arrows, stoploss and target lines for immediate visual reference.
Alerts trigger on breakout signals so you never miss a trade.
Why This Works Well for Natural Gas
Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts.
Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum.
Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
FMA Pro v1.0Foxbrady Moving Average Pro - uses EMA for tick based charts and SMA for time based charts, automatically.
Reversal Nexus Pro Suite — Smart Scalper/Swing Trader/Hybrid 📝 Description
The Reversal Suite (5–15m) is a dynamic price-action-driven indicator built for scalpers and intraday traders who want to catch high-probability reversals with precision.
This system combines SFP (Swing Failure Patterns), Volume Climax filters, EMA bias, and momentum confirmation logic — all customizable to match your personal trading style.
The default configuration is tuned for NASDAQ futures (NQ1!) and similar indices on 5–15-minute charts, but it can adapt seamlessly to crypto, forex, and equities.
⚙️ How It Works
The indicator looks for exhaustion points in price where:
Volume Climax confirms liquidity sweeps,
EMA bias determines directional filters (single or dual-EMA),
Reclaim and rejection mechanics confirm structure shifts,
Momentum thrust ensures strength on reversal confirmation.
Each setup requires multi-factor alignment to reduce noise and increase signal precision.
🧩 Default Custom Settings (Recommended Start)
Setting Value Description
Mode Custom Enables full manual control
Signals must align within N bars 6 Forces confluence across recent bars
TP1 / TP2 (R-Multiples) 1.5 / 2.5 Default reward zones
RSI Divergence Enabled Adds secondary reversal confirmation
Volume Climax Enabled Detects high-volume exhaustion
Vol SMA Length 21 Volume baseline calculation
Climax ≥ k × SMA 7 Strength multiplier for volume spikes
EMA Length 200 Trend bias reference
Bias Both Allows both long and short setups
Dual EMA Bias Enabled Uses fast (21) vs slow (100) bias tracking
Min Distance from EMA Bias 2.55% Filter to avoid signals too close to MAs
Reclaim Buffer After Sweep 0.22% Ensures valid break-and-reclaim setups
Max Bars for Retest 1 Tight retest condition
Momentum Thrust Confirm Enabled Ensures volume and price thrust
Body ≥ ATR -6 Controls candle thrust sizing
TR SMA Length 20 Measures dynamic volatility
Body ≥ k × TR-SMA -4.4 Confirms structure-based rejection
Opposite-Signal Exit Enabled Auto-clears opposite signals
Opposite Signal Window 5 bars Short-term conflict filter
Swing Lookback (SFP) 2 Finds recent liquidity highs/lows
Cooldown Bars After Signal 8 Prevents over-triggering
🟢 Inputs are fully adjustable, so traders can optimize for:
Scalping (lower EMA, smaller swing lookback)
Swing trading (higher EMA, larger retest window)
Aggressive vs conservative confirmations
🧭 Recommended Use
Works best on 5m–15m timeframes
Pair with VWAP or EMA cloud overlays for directional context
Use Trend Guard to align only with higher-timeframe trend
Ideal for indices, forex majors, and large-cap stocks
🚀 Highlights
✅ Smart confluence-based reversal detection
✅ Built-in retest and rejection logic
✅ Dual EMA and volume climax filters
✅ Customizable momentum thrust confirmation
✅ Optimized for scalpers and intraday swing traders
🧱 Suggested Layout
Chart type: Candlestick
Timeframe: 5m or 15m
Overlay: VWAP / EMA Cloud / ORB Zone
Optional filters: ATR Bands, Volume Profile (VPVR), Session Boxes
⚠️ Disclaimer
The Reversal Nexus Pro indicator is provided for educational and informational purposes only. It is not financial advice and should not be interpreted as a recommendation to buy, sell, or trade any financial instrument.
Trading involves significant risk and may not be suitable for all investors. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management before placing any trades.
The author of this script is not responsible for any financial losses or decisions made based on the use of this tool.
By using this indicator, you acknowledge that you understand these terms and accept full responsibility for your own trading results.
© 2025. All rights reserved. Redistribution or resale of this indicator, in full or in part, is strictly prohibited without the author’s written consent.
Gap ZonesThis TradingView indicator automatically detects daily price gaps and plots them clearly on any timeframe (intraday or daily).
It helps visualize where unfilled gaps are sitting, track whether they’ve been filled, and control how far the zone extends.
Key Features
1. Daily Gap Detection
• Works even when you’re on intraday charts (uses daily OHLC data).
• Marks both gap up (potential support zones) and gap down (potential resistance zones).
2. Shaded Gap Zones
• Each gap is highlighted as a band (greenish for up, reddish for down).
• Option to turn shading off if you just want horizontal lines.
3. Hide When Filled
• Once price closes or touches the far side of the gap, it disappears (configurable: Touch vs Close).
4. Lookback Window
• Gaps only show if they occurred within the past X trading days (default: 30).
• Prevents your chart from being cluttered with ancient gaps.
5. Multiple Gaps Tracked
• Can track up to 5 recent gaps simultaneously.
• Oldest gaps “roll off” as new ones form.
6. Finite Right-Edge Guides
• Optional horizontal guide lines extend to the right, but only for a fixed number of bars (default: 50).
• Cleaner than infinite extensions.
7. Gap-Day Marker
• Optional vertical line drawn on the bar where the gap first occurred.
⸻
⚙️ Inputs & Settings
When you apply the indicator, you’ll see these options:
• Lookback (trading days): How far back to scan for gaps (default 30).
• Max gaps to show (1..5): How many simultaneous gap zones to display.
• Min gap size (% of prior close): Filter out tiny gaps (default 0.25%).
• Hide gaps once filled: Removes a gap from the chart once filled.
• Fill rule uses CLOSE (off = Touch):
• Touch = filled when price trades through the level intraday.
• Close = filled only when a candle close crosses it.
• Show shading: Toggle zone fills on/off.
• Show vertical marker on gap day: Toggle gap-day marker line.
• Show finite right-edge lines: Toggle horizontal lines extending right.
• Right line length (bars): How far those lines extend (default 50 bars).
⸻
🟢 How to Use It
1. Apply on Any Chart
• Works best on daily or intraday (5m, 15m, 1h).
• Gaps are always calculated from daily data, so intraday charts will show higher-timeframe gaps correctly.
2. Interpret Colors
• Green shading = Gap Up (often acts as support).
• Red shading = Gap Down (often acts as resistance).
3. Watch for Fills
• When price re-enters the gap zone, the indicator checks if it’s “filled” (based on your Touch/Close setting).
• If “Hide When Filled” is on, the zone vanishes.
4. Trade Context
• Many traders use gaps as targets (expecting a fill) or levels of support/resistance.
• Combined with your bull put/bear call spread strategies, it helps confirm strong levels.
Power Hour Breakout Signals [LuxAlgo]The Power Hour Breakout tool helps traders identify key price levels from the Power Hour and spot breakouts from those levels easily. This tool features Power Hour extensions, Fibonacci levels, and session break marks for the trader's convenience.
🔶 USAGE
The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders.
This tool highlights the Power Hour and the top and bottom price levels. Each time prices break out from these levels, a signal is displayed on the chart.
We can use the Power Hour to gauge market sentiment:
Bullish sentiment: Price trades above the Power Hour.
Mixed sentiment: Price trades within the Power Hour.
Bearish sentiment: Price trades below the Power Hour.
🔹 Displaying Power Hours and Breakouts
By default, all detected Power Hours are displayed. Traders can manually adjust this number by disabling the "Display All" parameter in the Settings panel.
Breakouts are displayed by default, too, but this feature can be disabled as well.
The chart above shows different configurations of these parameters.
🔹 Power Hour Extensions
Traders can use Power Hour extensions as potential targets for breakout signals.
In the settings panel, traders can select the percentage of the Power Hour price range to use for each extension. For example, 100% uses the full range, 200% uses the range twice, and so on.
As seen on the chart, traders can configure different percentages for the top and bottom extensions.
🔹 Fibonacci Levels
Traders can display default or custom Fibonacci levels on the Power Hour range to identify retracement opportunities and evaluate market movement strength. Each level can be enabled or disabled, as well as customized by level, color, and line style.
For example, as we can see on the chart, prices attempt to break out at the Power Hour top level, then retrace to the 0.618 Fibonacci level, and then rise to the 200% Power Hour top extension.
🔶 SETTINGS
Display Last X Power Hours: Select how many Power Hours to display or enable the Display All feature.
Power Hour (NY Time): Choose a custom Power Hour in New York time.
🔹 Breakouts
Breakouts: Enable or disable breakouts.
Bullish Breakout: Select color for bullish breakouts.
Bearish Breakout: Select color for bearish breakouts.
🔹 Extensions
Top Extension: Enable or disable the top extension and choose the percentage of Power Hour to use.
Bottom extension: Enable or disable the bottom extension and choose the percentage of Power Hour to use.
🔹 Fibonacci Levels
Display Fibonacci: Enable or disable Fibonacci levels.
Reverse: Reverse Fibonacci levels.
Levels, Colors & Style
Display Labels: Enable or disable labels and choose text size.
🔹 Style
Power Hour Colors
Extension Transparency: Choose the extension's transparency. 0 is solid, and 100 is fully transparent.
Session Breaks: Enable or disable session breaks.
W Pattern Finder📊 W Pattern Finder
English:
This indicator automatically detects W-Patterns (Double Bottoms) following the HLHL structure and marks the last four crucial points on the chart.
Additionally, it draws the neckline, a Take Profit (TP) and a Stop Loss (SL) – including a Risk/Reward ratio.
✨ Features
* Automatic detection of W-Patterns (Double Bottoms)
* Draws the neckline and the last 4 key points
* Calculates and displays TP and SL levels (with adjustable RR ratio)
* Auto-Clear: All objects are removed once TP or SL is reached
* Fully customizable colors & widths for pattern, TP and SL lines
* Tolerance filter for lows to improve clean pattern recognition
* Visual marking of the W-pattern directly in the chart
⚙️ Settings
* Pivot Length → controls sensitivity of pattern detection
* Line color & width for the pattern
* Individual colors and widths for TP and SL lines
* Risk/Reward Ratio (RR) freely adjustable
* Tolerance (%) for deviation of lows
📈 Use Case
This indicator is especially useful for chart technicians & pattern traders who trade W-formations (Double Bottoms).
With the automatic calculation of TP & SL, it becomes instantly clear whether a trade is worth taking.
⚠️ Disclaimer:
This indicator is not financial advice. It is intended for educational and analytical purposes only.
Use it in trading at your own risk
Order Block TraderThe Order Block (HTF) indicator automatically detects and plots higher timeframe order blocks directly onto your chart. Order blocks represent zones of institutional buying or selling pressure that often act as powerful support or resistance levels when revisited. This tool is designed for traders who want to align their lower timeframe entries with higher timeframe structure, helping to filter noise and focus on the most meaningful price levels.
What This Indicator Does
Scans a higher timeframe of your choice to identify potential bullish and bearish order blocks.
Draws the blocks on your current chart, extending them forward in time as reference zones.
Highlights trade signals when price returns to and reacts at these order blocks.
Optionally triggers alerts so that you never miss a potential opportunity.
How It Can Be Used Successfully
Bullish Setup: A bullish order block may serve as a demand zone. When price revisits it, look for bullish confirmation such as a bounce from the block low and a close back above it. This can be used as a long entry point, with stops placed just below the block.
Bearish Setup: A bearish order block may serve as a supply zone. When price revisits it, watch for rejection at the block high followed by a close back below it. This can be used as a short entry point, with stops placed just above the block.
Multi-Timeframe Trading: Use order blocks from larger timeframes (e.g., 4H or Daily) as key zones, then drill down to shorter timeframes (e.g., 5m, 15m) to refine entries.
Confluence with Other Tools: Combine order block signals with your existing strategy—trend indicators, Fibonacci levels, moving averages, or candlestick patterns—for stronger confirmation and improved win probability.
Trade Management: Treat order blocks as zones rather than single price levels. Position sizing, stop placement, and risk-to-reward management remain essential for long-term success.
This indicator is not a standalone trading system but a framework for identifying high-probability supply and demand zones. Traders who apply it consistently—alongside proper risk management and confirmation methods—can improve their ability to catch trend continuations and reversals at structurally important levels.
