Effort HeatmapThe Effort Heatmap visualizes where meaningful, same-direction volume occurred inside an imbalance during strong directional movement.
Instead of analyzing total bar volume or traditional volume-at-price distributions, this tool reconstructs a simplified internal volume profile using lower-timeframe data.
When a Fair Value Gap forms during a high-volume displacement, the script highlights the portions of the imbalance candle where directional effort was concentrated and projects those regions forward as a heatmap.
The purpose of this indicator is not to predict price or represent institutional activity, but to offer a visual way to study how the market delivered volume inside a move that created an imbalance.
How It Works
1. Lower-Timeframe Volume Extraction
The indicator retrieves open, close, and volume data from a selected lower timeframe.
Only sub-candles that move in the same direction as the previous bar are considered, ensuring the heatmap reflects directional effort—not mixed volume.
2. Candle Body Binning
The FVG candle is divided into multiple horizontal bins.
Each lower-timeframe sub-candle contributes volume proportionally to the bins it overlaps, creating a vertical volume distribution for that bar.
3. Imbalance (FVG) Detection
A simple 3-bar displacement logic detects bullish or bearish imbalances.
An optional Z-Score filter ensures the heatmap only forms when volume is relatively elevated compared to recent history.
4. Heatmap Projection
When a qualifying imbalance occurs:
• The FVG bar’s volume distribution is normalized
• Only areas with relatively elevated volume are displayed
• Colored heatmap boxes are created and extend forward
• These boxes remain until price trades into or through them
This allows traders to observe how price interacts with past zones of concentrated directional effort.
What Makes It Different
Most volume tools focus on fixed session profiles, market-wide volume-at-price calculations, or bar-level volume totals.
The Effort Heatmap instead reconstructs a per-bar vertical volume distribution using lower-timeframe price action and displays it only when displacement occurs.
Rather than treating the candle as a single block of volume, the indicator highlights where inside the candle body volume was delivered while moving in the displacement direction.
This creates a unique visualization of directional effort that conventional profiles, OB/FVG indicators, and classic oscillators do not show.
How to Use It
1. Apply to any timeframe: The indicator works on all chart timeframes, but gains more detail when higher timeframes are used in combination with lower-timeframe volume data.
2. Identify displacement moments: When a bullish or bearish FVG forms with a high volume Z-Score, the heatmap will appear.
3. Observe the heatmap structure:
Each horizontal band represents the relative concentration of same-direction volume inside the previous candle.
4. Watch how price interacts with these zones:
Heatmap areas extend until price touches or trades through them, at which point they stop extending and are finalized.
5. Combine with your own analysis:
These areas can be used to study...
...how past directional volume clusters influence current movement
...structural reactions to zones of prior effort
...which parts of a displacement candle were most active
The indicator is a visual study tool, not a signal generator.
Settings
• Volume Source Timeframe
Chooses the lower timeframe used to reconstruct internal volume. Smaller timeframes give more detail; larger timeframes give smoother profiles.
• Z-Score Lookback
Controls how many bars are used to measure relative volume. Larger values make the volume filter stricter.
• Z-Score Threshold
Minimum relative-volume strength required to draw a heatmap. Higher values show only high-effort moves.
• Volume Filter (%)
Removes weaker bins based on how much volume they contain compared to the strongest one. Higher percentages = fewer but more meaningful zones.
• Bullish / Bearish Colors
Sets the base color for heatmap boxes depending on direction.
Volum
Advanced Intraday Darvas BoxThis indicator applies a modern Darvas Box strategy for intraday traders, using non-repainting pivot detection combined with strong filters to reduce chart noise:
Confirmed swing highs and lows: Boxes only form when genuine swing pivots appear, ensuring fully non-repainting signals.
Minimum box height: Small, "noise" boxes are filtered out using ATR multiples for meaningful zones.
Trend filter: Choose EMA, SMA, or VWAP to lock boxes and breakouts to market direction.
Volume confirmation: Boxes are only confirmed when volume is above a user-defined threshold, highlighting high-participation moves.
Breakout filter: Signals trigger only if the breakout candle closes substantially beyond the box, reducing false breakouts.
Limited box display: Recent boxes only, keeping your chart clean and readable.
Features & Inputs
Pivot sensitivity: Set the number of bars for swing calculation.
Box filtering: Specify the minimum ATR multiple for box size.
Trend selection: EMA, SMA, VWAP, or None.
Volume filter & threshold: Activate for greater breakout confidence.
Breakout/Breakdown strength: Set how far price must close beyond the box to signal power.
Maximum boxes: Control the number of active boxes to keep the chart clear.
How to Add and Use
Add to Chart:
Click the “Add to Favorite Scripts” star to mark this indicator.
Open your desired intraday chart (1m–30m works best).
Click “Indicators,” search for “Advanced Intraday Darvas Box,” and add to your chart.
Customize Inputs:
Use the settings gear ⚙️ to adjust pivot sensitivity, trend logic, box filtering, and volume confirmation.
Lower minimum box height or pivot length for more frequent signals. Raise them for sparser, higher conviction setups.
Reading Darvas Boxes:
Box Edges: Horizontal lines mark resistance (top) and support (bottom) of detected zones.
Shaded regions: Highlight the most relevant trading zones and where price could coil before breakout.
Breakout labels (↑/↓): These appear only when price makes a powerful, confirmed move beyond the box edge—aligned with trend.
Alerts: Turn on chart alerts using the “Strong Bullish Breakout” or “Strong Bearish Breakdown” alert conditions for automated signal monitoring.
Best Practices:
Use Darvas boxes to complement price action analysis. Combine with candlestick patterns, volume spikes, and other price structure.
Only trade strong breakout signals confirmed by volume and market direction.
Avoid excessive boxes—adjust "Max Boxes" and filters for your instrument and timeframe.
Important
This indicator is non-repainting and built for display clarity and clean signals.
No brokerage automation, no external linking, and pure price/volume logic—fully compliant with TradingView House Rules.
Always test settings and confirmations before using for live decision-making.
Dashti XAU Liquidity Map ELITE"No Sweep = No Trade
No BOS = No Trade
No Killzone = No Trade
No Volume = No Trade"
14:30 New York OpenRed dotted line at NY open. Shows new traders where NY opens. Helpful for backtesting and when trading that session where it starts very quickly
Custom MTF VWAP 4x with IBI put this indicator together to have my main VWAP levels displayed on the chart easily with shaded areas when price is over extended. The IB I added to have the option to change futures based on an initial balance strategy combined with the daily and NY VWAP.
Volume Peak Box📄 English Description
Overview
The Volume Peak Box indicator highlights periods of unusually high volume by identifying volume spikes using Bollinger Bands on volume and drawing a price-range box around each spike window. This provides traders with a clear visual representation of supply/demand imbalances, absorption zones, and breakout/false-break areas.
All calculations come from one unified concept: detecting statistically significant volume peaks on a locked timeframe and mapping them onto the chart.
Concept & Logic
1. Locked Timeframe Volume Analysis
Instead of using the current chart timeframe, this script allows users to lock volume analysis to any timeframe (e.g., 60m, 4H, 1D).
The script retrieves from the chosen timeframe:
Volume
High price
Low price
This allows volume structure from higher timeframes to be used while trading lower timeframes.
2. Bollinger Bands on Volume
Volume volatility is analyzed using a standard Bollinger Band model:
Basis = SMA(volume, BB length)
Upper Band = Basis + (mult × standard deviation)
When:
Volume > Upper Band
→ This bar is classified as a Volume Peak.
This approach makes the peak detection statistically meaningful, instead of simply comparing raw volume to previous bars.
3. Peak Session Detection (Continuous Peaks Form One Box)
The script tracks continuous volume peaks:
When a peak starts → begin a session
While peaks continue → extend the session
When peaks end → session closes and a box is created
For each peak session, the script records:
Start bar index
End bar index
Highest high within the session
Lowest low within the session
These values determine the box boundaries.
This allows the indicator to group related peaks into a single price zone, instead of drawing a box for every bar.
4. Drawing the Volume Peak Box
When a session ends, the script draws:
A filled box covering the full price range
From startBar → endBar
Using user-defined:
Box fill color
Border color
Each box visually marks a region where strong participation entered the market, often signaling:
Breakout validation
Absorption zones
Supply/demand imbalance
High-activity trading decisions
How to Use
Use the boxes to identify high-volume reaction zones.
When price revisits a box:
Expect strong reactions (bounce, rejection, or absorption).
When price breaks out from a box:
Can signal continuation with momentum.
Lower-timeframe entry signals become more reliable when aligned with high-timeframe volume boxes.
Recommended to lock the TF to:
60m for intraday
4H or 1D for swing trading
Why This Script Is Original
It uses Bollinger Bands on volume, not price — a less common volatility-based method for detecting volume anomalies.
It groups continuous peaks into unified zones instead of treating each spike separately.
The ability to lock the volume analysis to a higher timeframe allows multi-timeframe volume interpretation without cluttering the chart.
Boxes give traders a clean and intuitive view of volume-based “decision zones”.
🇹🇭 Thai Description — คำอธิบายภาษาไทย
ภาพรวม
อินดิเคเตอร์ Volume Peak Box ใช้การตรวจจับ “Volume Peak” โดยใช้ Bollinger Band บน Volume แล้วสร้าง “กล่องช่วงราคา” ครอบช่วงที่มี Volume สูงผิดปกติ ทำให้เห็นบริเวณที่มีแรงซื้อขายเข้ามาอย่างชัดเจน เช่น จุด Breakout, จุด Absorption, หรือเขต Supply/Demand
แนวคิดและหลักการทำงาน
1. วิเคราะห์ Volume จาก Timeframe ที่ล็อกไว้
คุณสามารถเลือก TF ที่ต้องการให้ Volume ถูกนำมาคำนวณ เช่น 60 นาที, 4 ชั่วโมง, 1 วัน
แม้คุณจะเปิดกราฟ TF เล็ก เช่น 5m แต่กล่องยังอิง volume จาก TF ที่เลือกไว้ ทำให้ได้ “โซน Volume ใหญ่” ที่แม่นยำขึ้น
2. Bollinger Band บน Volume
ใช้ SMA + ส่วนเบี่ยงเบนมาตรฐานของ Volume เพื่อหา “จุดที่ Volume สูงกว่าปกติอย่างมีนัยสำคัญ”
เงื่อนไข Peak:
Volume > Upper Bollinger Band
นี่เป็นวิธีที่ดีกว่า “เทียบกับแท่งก่อนหน้า” เพราะคิดจากสถิติของทั้งช่วง
3. รวม Peak ต่อเนื่องเป็นกล่องเดียว
ถ้า Volume Peak เกิดต่อเนื่องหลายแท่ง:
จะถูกจับรวมเป็น Peak session เดียว
ใช้ High สูงสุด และ Low ต่ำสุดของทั้ง session
เมื่อ Peak จบ → วาดกล่องช่วงราคา
เหมาะกับการหาจุดที่ตลาดมีแรงเข้าซื้อ/ขายหนักในช่วงเวลาเดียวกัน
4. วาดกล่อง Volume Peak
กล่องจะครอบ:
ช่วงแท่งเริ่มต้น → แท่งสุดท้ายของ Peak
ความสูงของกล่อง = ช่วงราคาที่มี Volume สูงผิดปกติ
กล่องสามารถใช้เป็น:
โซน Breakout/Breakdown
โซน Supply/Demand
เขตที่ราคามักมี reaction
วิธีใช้งาน
ใช้กล่องเป็น “เขตการตัดสินใจ” (Decision Zone)
ราคาแตะซ้ำมักเกิดการกลับตัวหรือความผันผวนสูง
การทะลุกล่องบ่อยครั้งนำไปสู่ขาเทรนด์ใหญ่
เหมาะกับการใช้ร่วมกับ Price Action และโครงสร้างราคา
จุดเด่น / ความเป็น Original
ใช้ Bollinger Band บน Volume (น้อยอินดี้ทำ)
รวม Peak ต่อเนื่องเป็น session เดียว
วิเคราะห์ Volume ข้าม TF ได้ โดยไม่ต้องเปลี่ยน TF บนกราฟ
ได้ “โซน Volume สำคัญ” แบบชัดเจน อ่านง่าย ไม่รกจอ
20 Day Range High/Low (Turtle Soup)This indicator identifies the Highest High and Lowest Low of the last 20 periods (customizable) and projects horizontal support/resistance lines to the right.
Unlike standard Donchian Channels or other High/Low indicators that clutter the chart with historical "steps" or extend lines infinitely to the left, this script focuses on chart cleanliness.
Key Features:
Pivot-Point Start: The lines do not span the whole chart. They start exactly at the candle where the High or Low occurred.
Right Extension: Lines extend only to the future, providing a clear visual for potential breakouts or support levels.
No Historical Clutter: It does not draw the past movement of the High/Low, keeping your chart clean for price action analysis.
Dynamic: As new Highs or Lows are made, the lines instantly update to the new positions.
How to Use:
Trend Identification: Use the High line as a resistance/breakout level (similar to Turtle Trading strategies).
Stop Loss Placement: The Low line of the last 20 days often acts as a trailing stop location for long-term trends.
Timeframes: While designed for the classic "20-Day" lookback on the Daily chart, this script works on any timeframe (e.g., finding the 20-hour range on a 1H chart).
Settings:
Length: Default is 20 bars. You can change this in the settings to any lookback period you prefer (e.g., 50, 100).
Smoothed VWAP Bands + EMAsSmoothed VWAP bands
With my script, you take the raw standard deviation and apply an EMA (exponential moving
Advantages:
1. Less noise:
* The bands don’t jump around with every tiny price spike.
* Makes it easier to judge real price extremes.
2. Better zone visualization:
* Inner and outer bands are smoother and more visually “stable.”
* Easier to see meaningful trends, support/resistance, and breakout zones.
3. Fewer fakeouts:
* Traders can filter out small false signals because smoothed bands only move when volatility actually changes.
4. Dynamic to volatility:
* EMA smoothing keeps the bands adaptive:
* In quiet periods, bands tighten.
* In volatile periods, bands expand.
* But it avoids extreme jitter caused by every micro-move.
Safe Zone Rules
1. Long entries (green zone):
* Price above VWAP (trend bullish).
* Price inside inner band ±1σ (not touching outer extremes).
* Optional: candle close confirmation (price fully above inner band).
2. Short entries (red zone):
* Price below VWAP (trend bearish).
* Price inside inner band ±1σ.
* Optional: candle close confirmation.
3. Outer bands (±2σ):
* Considered overextended zones → avoid entries to reduce fakeouts.
4. Visual cues:
* Safe zones shaded lightly green/red inside inner band.
* Outer bands remain unshaded (for context).
Here’s a cheat sheet for trading the Smoothed VWAP Bands + EMAs that shows safe entry zones and trend alignment clearly.
Smoothed VWAP Bands + EMAs Cheat Sheet
Price Action Relative to Bands & EMAs
+2σ (Outer Upper Band)
----------------
Extreme volatility zone
Avoid entries here
+1σ (Inner Upper Band)
----------------
Safe zone limit for longs
Consider profit taking here
VWAP Line (Green = Bullish, Red = Bearish)
==================
Core trend indicator
Only trade in VWAP trend direction
-1σ (Inner Lower Band)
----------------
Safe zone limit for shorts
Good for entries in trend direction
-2σ (Outer Lower Band)
----------------
Extreme volatility zone
Avoid entries here
1️⃣ Trend Direction with VWAP & EMAs
* VWAP → shows the overall session trend.
* Price above VWAP → bullish
* Price below VWAP → bearish
* EMA 5 (blue) → short-term momentum
* EMA 20 (orange) → medium-term trend
Rule: Only take trades in the direction of the trend:
* Long trades → price > VWAP and EMA 5 > EMA 20
* Short trades → price < VWAP and EMA 5 < EMA 20
This prevents chasing trades against the trend and reduces fakeouts.
2️⃣ Entry Zones Using Smoothed VWAP Bands
* Inner band (±1σ) → “safe entry zone”
* Outer band (±2σ) → volatility extremes → avoid entries here
Rule: Enter longs inside the inner band above VWAP and shorts inside the inner band below VWAP.
Best used on intraday timeframes.
15, 5, 2, 1 min charts.
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator
A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets.
What this indicator does
The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols.
It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution.
Core components
Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement.
Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude.
Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups.
How it works conceptually
1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish).
2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL.
3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5.
4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation.
How to interpret it
Above 0: Indicates dominant buying pressure and likely continuation of upward momentum.
Below 0: Suggests dominant selling pressure and potential continuation of downward movement.
Crosses of 0: Often mark transitions between accumulation and distribution phases.
+0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence.
[-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling.
Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa.
Why normalization matters
Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can:
Compare multiple assets objectively.
Set consistent alert thresholds for overbought/oversold regions.
Avoid misleading interpretations from absolute oscillator values.
Customization and UI
Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity.
Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more.
Visual Toggles:
* Show Oscillator : enables or hides the core histogram.
* Show Moving Average : adds a smoothed overlay for signal confirmation.
* Paint Candles : optional color overlay for chart candles based on oscillator direction.
* Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries.
How to use it
Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one.
Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes.
Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows).
Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent.
Alerts
Prebuilt alert conditions allow quick automation:
Midline crossovers (0): transition between accumulation and distribution.
Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion.
Signal moving-average crosses for confirmation entries.
Tips for use
Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns.
Use longer normalization periods for position trading, shorter for intraday analysis.
In choppy markets, treat 0-line oscillations as noise filters, not trade triggers.
Summary
The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
My script//@version=5
indicator("200-Day Volume MACD Oscillator", overlay=false)
length = 200
vol_avg = ta.sma(volume, length)
oscillator = volume - vol_avg
plot(oscillator, style=plot.style_histogram, color=oscillator >= 0 ? color.green : color.red, title="Volume MACD Oscillator")
Smart RSI Money Flow - Core Bands V1.01SMART RSI – Money Flow Bands (Technical Overview)
1. Background: RSI and Its Behavior on Lower Timeframes
The Relative Strength Index (RSI) originally is a momentum oscillator calculated from average gains and losses over a selected period. In its standard form, RSI is derived solely from price changes; it does not incorporate volume data or order-flow information in its formula.
Because RSI is price-based, its interpretation depends strongly on the timeframe:
• On higher timeframes, each bar aggregates more trading activity, and RSI tends to behave more smoothly.
• On lower timeframes (1-hour down to intraday scalping intervals), price fluctuations are quicker, and RSI becomes more sensitive to short-term noise.
This does not imply that RSI becomes invalid, but that its signals on fast charts can be more reactive and may benefit from additional context such as volume behavior or structural information.
2. Purpose of This Indicator
This indicator extends the classical RSI by adding information that RSI does not include:
• Mapping RSI values into price-based bands instead of the 0–100 oscillator space.
• Retrieving lower timeframe volume data and separating it into buy and sell components.
• Comparing the slope (angle) of price movement with the slope of buy and sell volume.
The goal is to provide a structural interpretation of where price sits relative to RSI conditions and how volume is behaving on a lower timeframe.
3. Technical Differences Compared to Classical RSI
A) Classical RSI
• Input: price only (usually close).
• Output: normalized oscillator between 0 and 100.
• Does not incorporate intra-bar volume distribution.
• Does not separate buy/sell volume.
B) SMART RSI – Money Flow Bands
1) RSI-to-Price Mapping
Converts RSI values into upper/lower price bands using recent price extremes.
2) Lower Timeframe Volume Decomposition
Retrieves LTF data and splits each bar’s volume into buy (close>open) and sell (close
Smoothed VWAP Bands🎯 Best Smoothing Setting for Scalping (What You Should Use)
Style σ Smoothing Result
Fast scalping (1min) EMA 14 Very responsive, still filters noise
Balanced intraday (1–5min) EMA 20 Best overall reliability
Slow confirmation (5–15min) EMA 30 Eliminates nearly all fakeouts
✅ What We Are Actually Smoothing
You are NOT smoothing VWAP itself.
You are smoothing the standard deviation (σ) that creates the VWAP bands:
✔ What this does:
* Computes the raw standard deviation (σ) of price relative to VWAP
* Smooths that σ using EMA smoothing
* Builds ±1 and ±2 bands using the smoothed σ
* You get clean, stable bands that filter fakeouts
✔ Result:
* Bands do NOT twitch in chop
* Fakeouts are filtered
* Real breakouts show obvious expansion
RED-E Market Structure (Pro V2)RED-E Market Structure - Comprehensive Technical Analysis System
⚠️ EDUCATIONAL TOOL - NO GUARANTEES
This indicator is designed for educational purposes to help traders learn technical analysis concepts. It does not predict future price movements or guarantee profitable trades. Trading involves substantial risk of loss.
═══════════════════════════════════════════════════════════════
📊 WHAT THIS INDICATOR DOES
This indicator combines multiple standard technical analysis methods into a unified system for analyzing market structure, momentum, volume dynamics, and key price levels. Rather than adding 10 separate indicators to your chart, this consolidates related information into one cohesive interface where each component informs the others.
═══════════════════════════════════════════════════════════════
🔧 TECHNICAL METHODOLOGY - HOW IT WORKS
1️⃣ MOMENTUM CANDLE COLORING (6 Levels)
Calculation Method:
- Compares close vs EMA(9) and EMA(21)
- Applies RSI(14) thresholds for strength
- Color codes: Royal Blue (strongest bull) → Cyan → Green → Yellow → Orange → Red (strongest bear) → White (neutral)
Formula Logic:
IF close > EMA(9) AND close > EMA(21) AND close > open:
RSI > 70 = Level 3 Bull (Royal Blue)
RSI 60-70 = Level 2 Bull (Cyan)
RSI < 60 = Level 1 Bull (Green)
Purpose: Visualizes momentum strength by combining trend (EMAs), candle direction, and overbought/oversold conditions (RSI).
2️⃣ ENTRY SIGNAL LABELS
Calculation Method:
- Uses EMA alignment: EMA(9) > EMA(21) > EMA(50) for bullish
- Filters RSI to avoid extremes
- Requires confirming candle
BUY Signal Logic:
IF close > EMA(9) AND RSI between 40-70 AND EMA(9) > EMA(21) > EMA(50) AND close > open
THEN: Display "BUY" label
Purpose: Identifies potential entries when multiple trend and momentum conditions align. This is standard multi-confirmation technical analysis.
3️⃣ VOLUME DELTA PERCENTAGE
Calculation Method:
FOR each bar in lookback period (default 20):
IF close > open: add volume to bullish_volume
IF close < open: add volume to bearish_volume
bullish_percent = (bullish_volume / total_volume) × 100
Purpose: Quantifies buying vs selling pressure as percentages. Shows if volume supports the current trend.
Display: "🟢65.3% | 🔴34.7%" in dashboard
4️⃣ PRE-MARKET HIGH/LOW TRACKING
Calculation Method:
1. Detect pre-market session (4:00-9:30 AM ET)
2. Track highest high during pre-market
3. Track lowest low during pre-market
4. Draw horizontal lines when market opens
Purpose: Pre-market levels often act as support/resistance during regular hours. This automates their tracking and visualization.
5️⃣ OPENING RANGE BREAKOUT (ORB)
Calculation Method:
1. User sets start time (default 9:30 AM) and duration (default 15 min)
2. Track highest high and lowest low during this period
3. Draw box and extend lines
Purpose: The opening range breakout is a well-documented day trading strategy. First X minutes establish a range, and breakouts often signal directional moves.
6️⃣ SUPPORT/RESISTANCE TRENDLINES
Calculation Method:
1. Identify pivot highs: ta.pivothigh(high, 5, 5)
2. Identify pivot lows: ta.pivotlow(low, 5, 5)
3. Connect last two pivot highs = Resistance (red)
4. Connect last two pivot lows = Support (blue)
Purpose: Automatically connects significant pivot points. Based on standard pivot analysis where price respects these levels.
7️⃣ GAMMA ZONE DETECTION
Calculation Method:
1. Calculate 30-min range: (high - low)
2. Calculate 10-period SMA of range
3. Calculate ratio: current_range / average_range
IF ratio < (1.0 / sensitivity): HIGH GAMMA = Low volatility
IF ratio > (1.0 × sensitivity): LOW GAMMA = High volatility
Purpose: Approximates options gamma effects. High gamma = dealers hedge more = suppressed volatility. Low gamma = less hedging = potential explosive moves.
8️⃣ TAKE PROFIT LEVELS (5 Levels + ATR Stop Loss)
Calculation Method:
LONG: TP = entry_price × (1 + percentage/100)
SHORT: TP = entry_price × (1 - percentage/100)
Stop Loss (ATR): entry ± (ATR(14) × multiplier)
Purpose: Automatically calculates percentage-based targets and volatility-adjusted stops. ATR adapts stop to current market conditions.
9️⃣ THE STRAT PATTERN RECOGNITION
Calculation Method:
Compare current bar to previous:
- Strat 3 (outside bar): high > high AND low < low
- Strat 1 (inside bar): high ≤ high AND low ≥ low
- Strat 2 (directional): All others
Purpose: The Strat is a price action system categorizing bars by relationship to previous bars. This automates classification.
🔟 FIBONACCI RETRACEMENTS
Calculation Method:
1. Find highest high in lookback (default 30 bars)
2. Find lowest low in lookback
3. Calculate: 0.0, 0.382, 0.5, 0.618, 1.0 levels
Purpose: Standard Fibonacci tool. These ratios are commonly used support/resistance in technical analysis.
1️⃣1️⃣ MULTI-TIMEFRAME ANALYSIS
Calculation Method:
FOR each timeframe (default 15m, 1H, 4H):
Check if close > EMA(9) on that timeframe
IF true: "BULLISH", else: "BEARISH"
Purpose: Shows trend alignment across timeframes using Pine's request.security(). Common confirmation technique.
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💡 WHY THESE COMPONENTS WORK TOGETHER
This indicator's originality lies in its unified system approach:
1. TREND IDENTIFICATION (EMAs, MTF) - Shows direction
2. MOMENTUM MEASUREMENT (RSI, candles) - Shows strength
3. VOLUME CONFIRMATION (Volume Delta) - Shows conviction
4. KEY LEVELS (PM, ORB, Fib, S/R) - Shows decision points
5. RISK MANAGEMENT (TP levels, ATR stops) - Shows exits
VALUE OF INTEGRATION:
Rather than 10 separate indicators creating chart clutter, this consolidates related concepts where each component provides different information that, when viewed together, gives a more complete market picture.
Example Integration:
- Entry signal appears (EMA + RSI aligned)
- Volume Delta confirms (more buying than selling)
- MTF shows higher timeframes agree
- TP levels auto-calculate with good risk:reward
- Support trendline nearby provides stop reference
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⚙️ CUSTOMIZATION OPTIONS
All features independently toggleable:
- EMAs: Adjust lengths (9, 21, 50, 200), colors, widths
- RSI: Change overbought/oversold levels (70/30)
- Volume Delta: Adjust lookback period (20)
- ORB: Set custom start time, duration, timezone
- Gamma: Adjust sensitivity (1-10)
- TP Levels: Customize all 5 percentages
- Dashboard: Reposition, resize, recolor
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📖 HOW TO USE
Step 1 - Assess Context:
- Check MTF Dashboard for alignment
- Check EMA indicator for trend
- Check Gamma Zone for volatility expectation
Step 2 - Identify Setups:
- Wait for BUY/SELL signal
- Check Volume Delta matches direction
- Verify RSI not extreme (30-70)
- Look for support/resistance confluence
Step 3 - Evaluate Risk:Reward:
- Review TP3 R:R ratio (target 2:1+)
- Check stop loss placement
- Ensure risk acceptable
Step 4 - Monitor:
- Track P&L % in real-time
- Use TP levels as potential exits
- Adjust stops based on S/R
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⚠️ LIMITATIONS & REALISTIC EXPECTATIONS
This indicator does NOT:
- Predict future price movements
- Guarantee profitable trades
- Work in all market conditions
- Replace proper education and practice
This indicator CAN:
- Display standard technical indicators in organized way
- Automate common calculations
- Visualize multiple analysis methods simultaneously
- Help learn how different indicators relate
Key Understanding:
All technical indicators use historical data. They help identify patterns and conditions but cannot predict the future. Successful trading requires risk management, psychology, and experience—not just indicators.
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📚 EDUCATIONAL CONCEPTS TAUGHT
- How EMAs show trend direction and alignment
- How RSI identifies momentum extremes
- How volume confirms or diverges from price
- How support/resistance levels form
- How multiple timeframes provide context
- How ATR adapts stops to volatility
- How risk:reward ratios work
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📊 BEST SUITED FOR
- Scalping: 1m-5m charts with quick entries/exits
- Day Trading: 15m-1H focusing on ORB and PM levels
- Swing Trading: 4H-D following major trends
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⚠️ RISK DISCLAIMER
Trading involves substantial risk of loss. This educational tool:
- Does NOT guarantee profits
- Cannot predict future performance
- Requires proper risk management
- Should be practiced on demo accounts first
Always use stop losses, risk only 1-2% per trade, and consult licensed financial professionals before trading with real capital.
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Educational tool for learning technical analysis. Not financial advice. Past results do not indicate future performance.
NEW PRICE ACTION ALGO (v2)Updated price action indicator for day trading QQQ,SPY & IWM on the 5-6min chart
One Minute AI scalper keep extended trading hours on# One Minute AI Scalper - Trading Indicator
## Overview
The One Minute AI Scalper is a precision-engineered trading indicator designed specifically for short-term scalping strategies on 1-minute timeframes. This indicator combines multiple technical analysis methods to identify high-probability entry points for both long and short positions, making it ideal for active traders seeking quick, momentum-based opportunities.
## Key Features
### Visual Signals
- **Long Entry Arrows**: Clear green triangle markers appear below price bars when bullish conditions align
- **Short Entry Arrows**: Clear red triangle markers appear above price bars when bearish conditions align
- Clean, uncluttered chart interface focusing on actionable signals
### Advanced Signal Generation
The indicator utilizes a sophisticated multi-factor approach to generate trading signals:
1. **Trend Analysis**: Employs moving average crossover methodology to identify the prevailing market direction
2. **Momentum Confirmation**: Analyzes candlestick patterns and price behavior to confirm momentum strength
3. **Volume Validation**: Incorporates volume analysis to distinguish between high-conviction and standard signals
4. **Reversal Detection**: Identifies potential trend reversals by examining recent price action patterns
5. **Precision Entry Filtering**: Uses specific candlestick characteristics to minimize false signals
### Alert System
Comprehensive alert functionality for all signal types:
- Long Entry alerts
- Short Entry alerts
## How It Works
### Long Position Signals
The indicator generates long entry signals when multiple bullish conditions simultaneously align, including:
- Confirmation of upward momentum through price action
- Specific candlestick structure indicating strong buying pressure
- Price position relative to key moving averages
- Recent price behavior suggesting reversal potential
- Volume characteristics supporting the move
### Short Position Signals
Short entry signals are generated when multiple bearish conditions converge, including:
- Confirmation of downward momentum through price action
- Specific candlestick structure indicating strong selling pressure
- Price position relative to key moving averages
- Recent price behavior suggesting reversal potential
- Volume characteristics supporting the move
### Position Management
The indicator includes intelligent position state tracking to:
- Prevent duplicate signals while in an active position
- Generate exit signals based on opposing price action
- Maintain clear status of whether you're in a long or short position
## Best Practices
### Recommended Usage
- **Timeframe**: Optimized for 1-minute charts
- **Extended Hours**: Keep extended trading hours enabled for full market coverage
- **Markets**: Works on stocks, forex, crypto, and futures
- **Strategy**: Best suited for scalping and day trading strategies
### Risk Management
- Always use proper stop-loss orders
- Consider position sizing based on account risk tolerance
- Pay attention to volume-indicated signals for higher conviction trades
- Avoid trading during low-liquidity periods
- Combine with your own risk management rules
### Trading Tips
- Higher volume signals generally indicate stronger conviction
- Wait for clear arrow signals rather than trying to anticipate them
- Monitor overall market conditions and major support/resistance levels
- Be aware of news events that may cause unusual volatility
- Practice in a paper trading account before using real capital
## Important Notes
### What This Indicator Does
✅ Provides clear visual entry signals for long and short positions
✅ Incorporates multiple technical factors for signal generation
✅ Includes volume analysis for conviction assessment
✅ Offers comprehensive alert options for all signal types
✅ Maintains position state awareness
### What This Indicator Doesn't Do
❌ Does not guarantee profitable trades
❌ Does not provide specific price targets or stop-loss levels
❌ Does not replace the need for proper risk management
❌ Does not account for fundamental analysis or news events
❌ Does not adapt settings automatically to market conditions
## Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Trading involves substantial risk of loss, and you should only trade with capital you can afford to lose. Always conduct your own research and consider consulting with a qualified financial advisor before making trading decisions.
## Configuration
This indicator uses fixed, optimized parameters that have been carefully calibrated for 1-minute scalping. No user configuration is required - simply add it to your chart and monitor for signals.
## Support
For questions, suggestions, or feedback about this indicator, please use the comments section or contact the author directly through TradingView.
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**Version**: 6.0
**Category**: Momentum/Scalping
**Overlay**: Yes
**Timeframe**: 1 minute (optimized)
Fair Value Gaps - Cucaracha📘 Fair Value Gaps (FVG) – Clean, Automatic Detection & Real-Time Tracking
The Fair Value Gaps (FVG) indicator automatically detects and visualizes Bullish and Bearish Fair Value Gaps directly on your chart. Built with precision, it highlights imbalance zones, continuously extends them in real time, and removes them the moment they’re mitigated — giving you a clean and accurate market structure view.
✅ Key Features
Automatic FVG Detection
Identifies bullish and bearish FVGs using a strict 3-candle imbalance model.
Dynamic Boxes
Each detected FVG is drawn as a shaded box and extends forward until price fills or mitigates the zone.
Auto-Cleanup (Mitigation Logic)
When price returns to the gap and fills it, the zone is instantly removed, keeping your chart clean and focused.
Custom Colors
Choose your own colors for bullish and bearish FVG boxes.
🎯 Why Traders Use This
Fair Value Gaps are widely used in:
Smart Money Concepts (SMC)
ICT-style trading
Market imbalance analysis
They highlight areas where price moved aggressively and may later return to rebalance.
This indicator helps you:
Spot institutional imbalances instantly
Track unmitigated FVGs without manually drawing boxes
Stay focused on key reaction zones
Improve entries based on premium/discount and liquidity concepts
🧠 How It Works
Bullish FVG:
Occurs when price leaves a gap where low > high , creating an upward imbalance zone.
Bearish FVG:
Occurs when high < low , indicating a downward imbalance zone.
Detected gaps are plotted as forward-extending boxes until price mitigates them.
Once mitigated (price fills the gap), the zone is automatically removed.
🟦🟥 Visuals
Blue (or your chosen color): Bullish FVG
Red (or your chosen color): Bearish FVG
150% Volume Surge1M charts show 150% volume surge to confirm scalping oppos in the direction of the general trend.
Cumulative Volume Delta Divergence [TradingFinder] Periodic EMACVD Divergence with Alerts.
Cumulative Volume Delta Divergence Periodic EMA with some alerts added
Frequency Momentum Oscillator [QuantAlgo]🟢 Overview
The Frequency Momentum Oscillator applies Fourier-based spectral analysis principles to price action to identify regime shifts and directional momentum. It calculates Fourier coefficients for selected harmonic frequencies on detrended price data, then measures the distribution of power across low, mid, and high frequency bands to distinguish between persistent directional trends and transient market noise. This approach provides traders with a quantitative framework for assessing whether current price action represents meaningful momentum or merely random fluctuations, enabling more informed entry and exit decisions across various asset classes and timeframes.
🟢 How It Works
The calculation process removes the dominant trend from price data by subtracting a simple moving average, isolating cyclical components for frequency analysis:
detrendedPrice = close - ta.sma(close , frequencyPeriod)
The detrended price series undergoes frequency decomposition through Fourier coefficient calculation across the first 8 harmonics. For each harmonic frequency, the algorithm computes sine and cosine components across the lookback window, then derives power as the sum of squared coefficients:
for k = 1 to 8
cosSum = 0.0
sinSum = 0.0
for n = 0 to frequencyPeriod - 1
angle = 2 * math.pi * k * n / frequencyPeriod
cosSum := cosSum + detrendedPrice * math.cos(angle)
sinSum := sinSum + detrendedPrice * math.sin(angle)
power = (cosSum * cosSum + sinSum * sinSum) / frequencyPeriod
Power measurements are aggregated into three frequency bands: low frequencies (harmonics 1-2) capturing persistent cycles, mid frequencies (harmonics 3-4), and high frequencies (harmonics 5-8) representing noise. Each band's power normalizes against total spectral power to create percentage distributions:
lowFreqNorm = totalPower > 0 ? (lowFreqPower / totalPower) * 100 : 33.33
highFreqNorm = totalPower > 0 ? (highFreqPower / totalPower) * 100 : 33.33
The normalized frequency components undergo exponential smoothing before calculating spectral balance as the difference between low and high frequency power:
smoothLow = ta.ema(lowFreqNorm, smoothingPeriod)
smoothHigh = ta.ema(highFreqNorm, smoothingPeriod)
spectralBalance = smoothLow - smoothHigh
Spectral balance combines with price momentum through directional multiplication, producing a composite signal that integrates frequency characteristics with price direction:
momentum = ta.change(close , frequencyPeriod/2)
compositeSignal = spectralBalance * math.sign(momentum)
finalSignal = ta.ema(compositeSignal, smoothingPeriod)
The final signal oscillates around zero, with positive values indicating low-frequency dominance coupled with upward momentum (trending up), and negative values indicating either high-frequency dominance (choppy market) or downward momentum (trending down).
🟢 How to Use This Indicator
→ Long/Short Signals: the indicator generates long signals when the smoothed composite signal crosses above zero (indicating low-frequency directional strength dominates) and short signals when it crosses below zero (indicating bearish momentum persistence).
→ Upper and Lower Reference Lines: the +25 and -25 reference lines serve as threshold markers for momentum strength. Readings beyond these levels indicate strong directional conviction, while oscillations between them suggest consolidation or weakening momentum. These references help traders distinguish between strong trending regimes and choppy transitional periods.
→ Preconfigured Presets: three optimized configurations are available with Default (32, 3) offering balanced responsiveness, Fast Response (24, 2) designed for scalping and intraday trading, and Smooth Trend (40, 5) calibrated for swing trading and position trading with enhanced noise filtration.
→ Built-in Alerts: the indicator includes three alert conditions for automated monitoring - Long Signal (momentum shifts bullish), Short Signal (momentum shifts bearish), and Signal Change (any directional transition). These alerts enable traders to receive real-time notifications without continuous chart monitoring.
→ Color Customization: four visual themes (Classic green/red, Aqua blue/orange, Cosmic aqua/purple, Custom) allow chart customization for different display environments and personal preferences.
NIFTY FNO STOCK (UPDATED)New latest FNO stock Shown at top of the table in indicator for buy and sell signal in sectorwise stock selection
NIFTY FNO Stock Screener Sector-wiseNSE FNO STOCK SCREENER SECTOR WISE. Open indicator and select sector. find which sector is moving upward or downward today. select specific sector and you will see all stock list in selected sector. you will show buy and sell signal in particular sector. open stock which show buy or sell signal and check your requirement for buy or sell . you can also used for options also to buy as per required signal
Vol——BcnkVol-Bcnk Volume Indicator Introduction
Overview
Vol-Bcnk is an advanced volume analysis indicator built on Pine Script 6 that helps traders identify abnormal trading volume activity through statistical analysis and heatmap visualization. This indicator not only displays basic volume data but also classifies volume strength through a multi-level threshold system with color coding.
Core Features
1. Intelligent Volume Analysis
· Moving Average Baseline: Uses configurable moving average length (default 610 periods) as volume baseline
· Standard Deviation Measurement: Calculates how many standard deviations current volume is from historical average
· Dynamic Thresholds: Automatically adjusts sensitivity based on market volatility
2. Multi-Level Heatmap System
The indicator provides five clear volume strength levels:
Extra High - More than 4.0 standard deviations (Red) - Extreme abnormality, may indicate major events
High - 2.5 to 4.0 standard deviations (Orange) - Significant abnormality, strong signals
Medium - 1.0 to 2.5 standard deviations (Yellow) - Moderate abnormality, worth attention
Normal - -0.5 to 1.0 standard deviations (Light Blue) - Normal fluctuation range
Low - Less than -0.5 standard deviations (Dark Blue) - Below average volume
3. Dual Color Mode System
Heatmap Mode
· Colors based solely on volume strength
· Unified color scheme focused on pure volume analysis
Up/Down Mode
· Combines price direction with volume strength
· Green shades for up moves, red shades for down moves
· Provides richer market context information
4. Multiple Visualization Options
· Colored Volume Bars: Visual display of each strength level
· Heatmap Zone Backgrounds: Background colors for each threshold range
· Threshold Level Lines: Mark key threshold positions
· Moving Average Line: Optional volume baseline display
Parameter Configuration
Main Settings
· MA Length: Moving average period, controls baseline smoothness
· Standard Deviation Length: Standard deviation calculation period, affects volatility sensitivity
Threshold Adjustment
Users can customize standard deviation multipliers for each strength level to adapt to different market characteristics:
· Smaller values: More sensitive, suitable for short-term trading
· Larger values: More conservative, suitable for long-term analysis
Alert System
The indicator includes a comprehensive alert mechanism for:
· Volume anomalies at each strength level
· Abnormal volume differentiated by upward and downward direction
· Real-time trading opportunity notifications
Application Scenarios
1. Breakout Confirmation
Identifies abnormal volume accompanying price breakouts to verify authenticity
2. Reversal Signals
Extreme volume combined with price reversal patterns provides high-probability reversal signals
3. Trend Strength Assessment
Evaluates current trend sustainability through volume strength distribution
4. Institutional Activity Detection
Abnormally high volume may reveal institutional large orders entering or exiting
Usage Recommendations
Short-Term Trading
· Use shorter MA and standard deviation periods (like 50-100)
· Focus on High and Extra High level signals
· Confirm with price action
Long-Term Investing
· Use longer periods (like default 610)
· Mainly focus on Extra High level significant anomalies
· Combine with fundamental analysis
Vol-Bcnk provides traders with a powerful volume analysis tool through scientific statistical methods and intuitive visualization, helping identify truly important volume activities in the market while avoiding distraction from normal market noise in decision-making.
