Footprint Bubble VolumeIndicator Name: Footprint Bubble Volume (Shapes + Numbers, Filters)
Description:
This indicator visualizes buy and sell volume as bubbles above or below candles, helping traders see where significant buying or selling activity occurs. Bubble sizes scale with volume, and numbers can optionally display the exact volume in K / M / B format for readability.
Features:
Buy/Sell Bubbles: Green bubbles above bars for buy volume, red bubbles below bars for sell volume. Size grows with higher volume.
Volume Numbers: Optional numeric labels showing scaled volume.
Volume Filters: Only display bubbles when volume is significant:
None: absolute minimum volume.
PctAboveAvg: X% above average volume over a lookback period.
ATRBased: volume exceeds ATR * multiplier over a lookback period.
Split Volume: Optionally estimate buy/sell split within a bar based on close position relative to high/low.
Scaling: Bubble sizes and number formatting adjust dynamically for easier visualization on high-volume instruments.
Inputs:
Absolute Min Volume: Minimum raw volume to show bubbles.
Bubble Size Scale: Controls bubble growth with volume.
Show Volume Numbers: Toggle numeric labels on/off.
Split Volume Proportionally: Approximate buy/sell split inside bar.
Filter Type: None / Percent Above Avg / ATR-Based.
Lookback Period: For volume or ATR calculations.
Percent Above Avg Vol: Threshold for percentage-above-average filter.
ATR Multiplier: Threshold multiplier for ATR-based filter.
Use Case:
Ideal for spotting footprint-like volume clusters and identifying high activity areas without relying on DOM data. Works on stocks, futures, and crypto charts.
Volume
RSI MACD CLOCKWORK TABLEWhat you get, at a glance:
• MACD Cell — Shows the current MACD value and a small direction icon (▲ rising, ▼ falling, ⏺ flat). The background color adapts to regime: green above zero, red below zero, gray near the line. Lengths are configurable (fast/slow/signal).
• RSI Cell — Plots the latest RSI with an identical direction icon and background logic (green above 50, red below 50, gray around 50). RSI length is configurable.
• Clockwork Row — This is the structure check. The script computes the slope (in degrees) of EMA(5), EMA(8), and EMA(13). If all three exceed your bullish threshold, you’ll see “Clockwork: Bullish” (lime). If all three are below your bearish threshold, you’ll see “Clockwork: Bearish” (red). Otherwise, it’s “Neutral” (gray). Thresholds are fully user-tunable.
Smart right-hand cell (choose your readout):
• Duplicate — Mirrors the Clockwork label.
• Time to Close — A clean mm:ss countdown for the current timeframe (with safe defaults on unusual timeframes).
• Slope Degrees — Prints the 5/8/13 EMA slopes in degrees (e.g., +12.3°).
• Slope Pack ▲▼ — Only the direction of each slope (less noise, more speed).
• EMA Spread (5↔13) — Shows the slope differential (degrees) between short and long EMAs.
• Volume Pace — Projects end-of-bar volume from live progress, compares it to your N-bar average, and renders a tiny text progress bar (██░░…) with a neutral “thermo” palette: black = hot (> high threshold), light blue = cold (< low threshold), silver = typical. All inputs (length, bar width, thresholds) are configurable.
• ATR — Current ATR with direction vs previous bar (▲/▼/⏺).
Quality-of-life:
• Optional top padding (~20px) to keep the table visually separated from other overlays.
• Lightweight string/emoji UI for clarity without heavy graphics.
• Defensive guards around timeframe math so the TTC keeps working smoothly.
How to use:
Add to any symbol/timeframe.
Set your MACD/RSI lengths and Clockwork slope thresholds to match your system’s sensitivity.
Pick a right-cell mode that complements your workflow (TTC for day trading, Volume Pace for intrabar context, ATR for volatility).
Note: This tool is informational, not a standalone signal generator. Combine the Clockwork alignment with your entries/exits and risk management.
3 Red Heikin Ashi with Higher Lows3 Red Heikin Ashi with Higher Lows will give Buy signal when 3 Red Heikin Ashi with Higher Lows is formed
15min ACTIVE Rangeevery 9:30 am New York Time, Gold prints a high Volume 15 min Candle: "ACTIVE RANGE"
Every time gold prints a candle in which it has a higher candle than the current "ACTIVE RANGE" there would be a new "ACTIVE RANGE"
Breakout and retest the ACTIVE Range
Buy/Sell Volume Bubbles on Candles🎯 New Big Order Filter Features:
Volume Filter Settings (New Group):
Enable Big Order Filter (Default: ON)
Toggle to show only significant volume
When OFF, shows all bubbles
Volume Threshold (Default: 1.5x)
Overall volume must exceed average by this multiple
1.5 = 150% of average (only big volume candles)
Range: 0.5x to 5.0x
Min Buy Volume Threshold (Default: 1.2x)
Buy volume must exceed average buy volume
1.2 = 120% of normal buying
Filters out small buy orders
Min Sell Volume Threshold (Default: 1.2x)
Sell volume must exceed average sell volume
1.2 = 120% of normal selling
Filters out small sell ordersPractical Examples:
Conservative (Show fewer, bigger orders):
Volume Threshold: 2.0x (only double-average volume)
Buy/Sell Threshold: 1.5x (only strong buying/selling)
Result: Very clean chart, institutional-sized orders only
Moderate (Default - Good balance):
Volume Threshold: 1.5x
Buy/Sell Threshold: 1.2x
Result: Shows significant orders, filters noise
Aggressive (Show more activity):
Volume Threshold: 1.0x
Buy/Sell Threshold: 0.8x
Result: More bubbles, captures medium orders
Use Cases:
🐋 Whale Watching (Set 2.5x+):
Only massive institutional orders
Spot market makers and big players
📊 Swing Trading (Set 1.5x):
Significant volume clusters
Key support/resistance confirmation
⚡ Active Trading (Set 1.2x):
More frequent signals
Better order flow visibility
Chart Clarity:
✅ No more bubble clutter
✅ Focus on significant orders
✅ Easy to spot institutional activity
✅ Independent buy/sell filtering
Whale Detector — JarassWhale Detector — Replica (Buy Spikes + Threshold + Alert)
The Whale Detector is a specialized tool designed to help traders identify large accumulation or “buy spikes” often associated with significant market participants (“whales”). It focuses on detecting unusual buying pressure at new local lows and signals potential strong upward movements.
Key Features:
1. Whale Buy Spikes Detection:
• Highlights strong buying activity at local lows using a combination of momentum, smoothing, and normalization.
• Detects new low bars and evaluates whether buying pressure exceeds a configurable threshold.
• Plots detected spikes as yellow histogram columns for clear visualization.
2. Adjustable Sensitivity:
• MOM Length: scales the momentum measurement.
• Smoothing: controls the smoothness of the calculated whale signal.
• Amplitude divisor & global scale: tune the signal strength for different markets.
• Whale Power Threshold: customizable level to mark strong buy spikes.
3. Alerts:
• Alerts trigger when a strong whale buy spike crosses the threshold.
• Persistent alerts when buying pressure remains above the threshold.
• Designed for real-time monitoring of potential accumulation zones by major market players.
4. Visualization:
• Overlay-free indicator (displayed in a separate panel).
• Clear histogram view of detected whale activity.
• Red dotted horizontal line represents the signal threshold for easy identification of strong buying events.
5. Suitable For:
• Traders looking to spot smart money accumulation or unusual buying pressure.
• Can be used in combination with trend-following or breakout strategies.
• Useful across different timeframes and assets.
Summary:
The Whale Detector provides a quantitative view of buying spikes at critical lows, helping traders detect potential market-moving accumulation by whales. Coupled with threshold alerts, it enables timely action on strong buying signals
Sessions [Trade Tribe HQ]Color-coded session ranges with ADR% labels to help you trade smarter, not harder.
This tool marks New York, London, Tokyo, and Sydney sessions, showing their ranges, highs/lows, VWAPs, and ADR%.
🔹 Key Features
Colored session boxes (NY, London, Tokyo, Sydney)
Session highs & lows, VWAP, and trendlines
Dashboard showing active sessions, volume, and %ADR
ADR% labels at session close
🔹 How It Helps
Spot session traps, moves, and reversals faster
Manage expectations using ADR% (no chasing over-extended moves)
Identify overlap zones (London → NY) for volatility spikes
Simplify cycle tracking across global markets
Market Sessions Marker—making it easy to see where the energy has been spent and where opportunity is building next.
Created with ❤️ by TraderChick – part of the Trade Tribe HQ community.
If you found this tool useful, check out my profile for more strategies, classes, and resources.
Volume Based Sampling [BackQuant]Volume Based Sampling
What this does
This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition:
Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold.
Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold.
The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison.
Why event-based sampling matters
Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular:
Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds.
The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds.
Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks.
How the indicator works (plain English)
Choose your bucket type
Volume : accumulate volume until it meets a threshold.
Dollar Bars : accumulate close × volume until it meets a dollar threshold.
Pick the threshold rule
Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars).
Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar).
Build the synthetic bar
While a bucket fills, the script tracks:
o_s: first price of the bucket (synthetic open)
h_s: running maximum price (synthetic high)
l_s: running minimum price (synthetic low)
c_s: last price seen (synthetic close)
v_s: cumulative native volume inside the bucket
d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled)
Emit a new sample
Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity.
Maintain a rolling history efficiently
A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable.
Compute synthetic-space statistics
The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time.
Inputs and options you will actually use
Data Settings
Sampling Method : Volume or Dollar Bars.
Rolling Lookback : window used to estimate the dynamic threshold from recent activity.
Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes.
Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target.
Max Stored Samples : cap on synthetic history to keep performance snappy.
Use Ring Buffer : turn on to recycle storage when at capacity.
Indicator Settings
SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes.
Visuals
Show Synthetic Bars : plot the synthetic OHLC candles.
Candle Color Mode :
Green/Red: directional close vs open
Volume Intensity: opacity scales with synthetic size
Neutral: single color
Adaptive: graded by how large the bucket was relative to threshold
Mark new samples : drop a small marker whenever a new synthetic bar prints.
Comparison & Research
Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ.
How to read it, step by step
Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars.
Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information.
Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility.
Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument.
Quant finance background and citations
Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars.
Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management.
AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca )
Practical use cases
1) Regime-aware moving averages
The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation.
2) Breakout logic on “equal-information” samples
The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets.
3) Volatility-adaptive backtests
If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream).
4) Regime diagnostics
Avg Bars per Sample trending down: activity is dense; expect larger realized ranges.
Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk.
Interpreting the info panel
Method : your sampling choice and current threshold.
Total Samples : how many synthetic bars have been formed.
Current Vol/Dollar : how much of the next bucket is already filled.
Bars in Bucket : native bars consumed so far in the current bucket.
Avg Bars/Sample : lower means higher trading intensity.
Avg Return / Return StdDev : return stats computed over synthetic closes .
Research directions you can build from here
Imbalance and run bars
Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets
Volume-time indicators
Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes.
Liquidity and toxicity overlays
Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated.
Dollar-risk parity sampling for portfolios
Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering.
Microstructure feature set
Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca )
Tips for clean usage
Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale.
Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time.
Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Delta Bubbles by exp3rtsDelta Bubbles is a powerful volume-based order flow tool that detects aggressive market activity, highlights trapped traders, and visualizes key liquidity zones on your chart — perfect for scalpers, intraday traders, and anyone trading momentum or reversals.
🧠 What It Does:
📈 Buy/Sell Bubbles: Detects aggressive buying/selling pressure using a volume delta approximation.
🟩 Trap Zones: Highlights areas where traders likely got trapped (buying in downtrends or selling in uptrends).
⚠️ Potential Traps: Shows lighter “setup” zones for trades that may become traps.
🟥🟩 Colored Bars: Optional trend coloring for visual clarity (based on 50 EMA).
📉 Zone Liquidation: Automatically removes zones once price revisits them.
🧩 Customizable Settings:
Bubble sensitivity and size thresholds.
Trap zone width and minimum bubble size.
Toggle trap liquidation, potential zones, colored bars, and bubble visibility.
📌 How to Use It:
Look for trap zones forming against the trend (e.g., bearish bubble in an uptrend → green trap zone).
Watch for retests of zones — these can be key levels for fades or breakouts.
Combine with price action, support/resistance, VWAP, or other confluence tools.
🚀 Best For:
Scalping and reversal trading on intraday timeframes (5m, 15m).
Futures, indices (e.g., NASDAQ, S&P 500), crypto, or any liquid market.
Cumulative Relative Volume- Intraday (RVOL)This Indicator checks the current day's cumulative volume at sometime t and compares it to the average cumulative volume traded over the last 14 days, till the particular time t. this helps in identifying how the trajectory of the volume is growing or reducing through the day. if the RVOLS are high and remains high throughout the session, then the intensity of buying is high. along with any price action this could give a confirmation to a breakout or a breakdown
Smart Money Concept v1Smart Money Concept Indicator – Visual Interpretation Guide
What Happens When Liquidity Lines Are Broken
🟩 Green Line Broken (Buy-Side Liquidity Pool Swept)
- Indicates price has dipped below a previous swing low where sell stops are likely placed.
- Market Makers may be triggering these stops to accumulate long positions.
- Often followed by a bullish reversal.
- Trader Actions:
• Look for a bullish candle close after the sweep.
• Confirm with nearby Bullish Order Block or Fair Value Gap.
• Consider entering a Buy trade (SLH entry).
- If price continues falling: Indicates trend continuation and invalidation of the buy-side liquidity zone.
🟥 Red Line Broken (Sell-Side Liquidity Pool Swept)
- Indicates price has moved above a previous swing high where buy stops are likely placed.
- Market Makers may be triggering these stops to accumulate short positions.
- Often followed by a bearish reversal.
- Trader Actions:
• Look for a bearish candle close after the sweep.
• Confirm with nearby Bearish Order Block or Fair Value Gap.
• Consider entering a Sell trade (SLH entry).
- If price continues rising: Indicates trend continuation and invalidation of the sell-side liquidity zone.
Chart-Based Interpretation of Green Line Breaks
In the provided DOGE/USD 15-minute chart image:
- Green lines represent buy-side liquidity zones.
- If these lines are broken:
• It may be a stop hunt before a bullish continuation.
• Or a false Break of Structure (BOS) leading to deeper retracement.
- Confirmation is needed from candle structure and nearby OB/FVG zones.
Is the Pink Zone a Valid Bullish Order Block?
To validate the pink zone as a Bullish OB:
- It should be formed by a strong down-close candle followed by a bullish move.
- Price should have rallied from this zone previously.
- If price is now retesting it and showing bullish reaction, it confirms validity.
- If formed during low volume or price never rallied from it, it may not be valid.
Smart Money Concept - Liquidity Line Breaks Explained
This document explains how traders should interpret the breaking of green (buy-side) and red (sell-side) liquidity lines when using the Smart Money Concept indicator. These lines represent key liquidity pools where stop orders are likely placed.
🟩 Green Line Broken (Buy-Side Liquidity Pool Swept)
When the green line is broken, it indicates:
• - Price has dipped below a previous swing low where sell stops were likely placed.
• - Market Makers have triggered those stops to accumulate long positions.
• - This is often followed by a bullish reversal.
Trader Actions:
• - Look for a bullish candle close after the sweep.
• - Confirm with a nearby Bullish Order Block or Fair Value Gap.
• - Consider entering a Buy trade (SLH entry).
🟥 Red Line Broken (Sell-Side Liquidity Pool Swept)
When the red line is broken, it indicates:
• - Price has moved above a previous swing high where buy stops were likely placed.
• - Market Makers have triggered those stops to accumulate short positions.
• - This is often followed by a bearish reversal.
Trader Actions:
• - Look for a bearish candle close after the sweep.
• - Confirm with a nearby Bearish Order Block or Fair Value Gap.
• - Consider entering a Sell trade (SLH entry).
📌 Additional Notes
• - If price continues beyond the liquidity line without reversal, it may indicate a trend continuation rather than a stop hunt.
• - Always confirm with Higher Time Frame bias, Institutional Order Flow, and price reaction at the zone.
NSE/FT/INTRADAYIt combines technical indicators and momentum signals to capture quick price movements while managing risk effectively. The strategy emphasizes fast execution, strict stop-loss placement, and disciplined profit booking, making it suitable for traders who prefer multiple trades within the same day rather than holding overnight positions.
Liquidity Spectrum Visualizer [BigBeluga] [Optimized]This version of Liquidity Spectrum Visualizer (© BigBeluga) has been optimized to improve execution speed and reduce script load times without altering the visual output or analytical logic of the original indicator. The key improvements focus on reducing computational complexity, eliminating redundant calculations, and minimizing expensive function calls within loops.
Core Optimization Changes
Single-Pass Volume Binning (O(N) instead of O(N×M))
Original: For each bin (100) the script iterated through every bar (lookback), resulting in ~20,000 operations.
Optimized: Each bar is processed once to directly calculate its bin index. This reduces the loop complexity from O(N×M) to O(N), where N = lookback.
Precomputed Min/Max Values
Original: array.min() and array.max() were repeatedly called inside loops, re-scanning arrays hundreds of times.
Optimized: Min and max are computed once before all calculations and reused, reducing computational overhead.
Reduced Label Creation
Original: Labels were created in every iteration, potentially hundreds of times per update — a very expensive operation in Pine.
Optimized: Only two labels are created for significant high and low levels, cutting down label calls by ~99%.
Efficient Resource Management
All boxes and lines are cleared once before re-rendering instead of being deleted individually inside nested loops.
Optional gradient rendering and POC drawing remain, but only after binning is complete.
Performance Evaluation
The most important change is the reduction of loop complexity — instead of performing around 20,000 iterations per update, the optimized version now processes only about 200. This reduces execution time and makes the indicator much lighter.
Function calls such as min() and max() are now calculated only once instead of hundreds of times, which removes unnecessary overhead. Likewise, label creation has been reduced from hundreds of labels per refresh to just two, further improving performance.
As a result, the average loading time of the indicator dropped from roughly 1.5–3 seconds to about 0.05–0.2 seconds on typical datasets.
Volume Intensity MeterVolume Intensity Meter
Overview
The Volume Intensity Meter is a Pine Script v6 indicator for TradingView that measures market momentum and direction using a volume-weighted intensity metric. It renders a normalized percentage score in a compact table with a gradient meter and directional arrows indicating bullish, bearish, or neutral conditions. A hybrid formula balances direction and volatility, and users can tune sensitivity and display settings.
How It Works
The indicator builds a hybrid intensity score from:
• Volatility component: (high − low) × volume (30% weight)
• Directional component: (close − open) × volume (70% weight)
The raw score is smoothed with an EMA (default 5) and normalized by a baseline SMA (default 20) to produce a percentage metric, clamped between −150% and +150%. A gradient row (red → yellow → green) provides context, and a pointer highlights the current intensity. Directional arrows (▲ bullish, ▼ bearish, ⎯ neutral) switch based on a user sensitivity threshold of 1% by default (0.01 in normalized units).
Key Features
• Hybrid Intensity Calculation: Blends directional and volatility signals with volume weighting.
• Gradient Meter Display: Color-coded table with a live pointer and center readout.
• Customizable Parameters: Lookback, smoothing, number of segments, and flip sensitivity.
• Momentum Pointer : Marks current intensity from bearish to bullish.
• Normalized Scale: Clamped output (±150%) for consistent reading across symbols.
• Toggleable Display: Show/hide the meter for a clean chart.
What It Displays
A normalized momentum readout with directional context, shown as a gradient meter plus arrows. This helps quickly assess shifts in pressure for scalping, day trading, or swing trading across stocks, forex, futures, or crypto.
Originality
The Pine v6 implementation uses TradingView’s built-in ta.ema and ta.sma for smoothing and baseline calculations.
Common Uses
• Monitoring short-term momentum changes.
• Visualizing intensity around key sessions.
• Adding a quick-glance pressure gauge to existing setups.
Configuration Notes
Set the lookback period (default 20), smoothing (default 5), and segments (default 21). The flip sensitivity is specified in normalized units (default 0.01 = 1%). Use the gradient meter and arrows to gauge momentum strength and direction.
Legal Disclaimer
This indicator is for informational and educational purposes only—not investment, financial, or trading advice. Past performance does not guarantee future results; trading involves risk. Provided “as is” with no warranties. Consult a qualified professional before making decisions.
Long Elite Squeeze (LES 2.1) NV/CDV AI LindsayLES 2.1 — Long Elite Squeeze
Creator: Hunter Hammond •: Elite × FineFir H.H (AI “Lindsay”)
Discord: elitexfinefir
LES (“Long Elite Squeeze”) is a momentum + flow-aware long strategy built for small-float, high-velocity stocks. It blends a classic squeeze engine (BB/KC), adaptive RVOL/RSI gating, VWAP slope, ADX trend filtering, WaveTrend timing, and new Net-Volume/CVD flow exits—all wrapped with on-chart HUDs, a trade tracker, trap detection, and a lightweight AI selector to adapt entries to live conditions.
Who it’s for (and where it thrives)
LES 2.1 is tuned for the morning session and stocks that can really move:
Top Pre-Market and Day Gainers
Highest or Top Volume on Day
Float: ≤ 40M
Price: ≤ $20
Volume: ≥ 5× the 30-day average (intraday RVOL pop)
Catalyst: ideally a fresh news driver / “day gainer”
Timeframe: 1-minute (designed & tuned for 1m). Works on 2m/3m/5m, but wasn’t specifically designed for them (see tuning tips below).
Evolution at a glance
LES 1.0 — The foundation
Squeeze engine using Bollinger vs. Keltner to detect expansion (“squeeze OFF”).
EMA – ATR offset line (dynamic risk anchor) with EMA as trend filter.
RSI guard for overheated moves.
RVOL confirmation using average volume lookback.
WaveTrend (WT + Signal) to time entries/exits.
Basic buy/sell logic + simple on-chart labels.
LES 2.0 — Quality-of-life & timing upgrades
AI Lindsay assistant v2 (periodic / contextual commentary).
VWAP Slope Detector with sensitivity modes (Loose → Very Strict).
Manual defaults pre-tuned for ease of use.
Double-EMA trailing (visual take-profit helper).
Improved on-chart commentary and Trade Summary (10:30am snapshot).
AI Version Suggester (V1/V2/V3 modes) with stickiness/cooldown.
Trap Detector Pro (sweep, VWAP reject, blow-off, etc.) with scored severity.
Trade Tracker HUD + Entry Checklist HUD.
Overall stability & UX polish.
LES 2.1 — Flow-based exit superpowers
New Flow Exit: integrates 1m Net Volume and 5m CVD-style pressure:
1m NetVol window (rolling sum of signed volume)
5m CVD window (downsampled, smoothed)
Debounce (consecutive red bars to avoid one-tick fakes)
Optional ATR Guard (only exit if the move is meaningful vs ATR)
Cooldown after a flow exit to avoid re-chop
Chart labels: “SELL (NV/CVD)” when flow triggers
Keeps you in good trends, but kicks you out when aggressive sellers actually show up.
How the engine works (plain English)
Market prep: We confirm trend & energy using EMA/ATR, RSI, RVOL, Squeeze OFF, and Price > VWAP.
Entry mode (V1/V2/V3):
V1 — Balanced trades (default “safe” behavior)
V2 — Fast trades (more aggressive when action heats up)
V3 — Trending trades (stricter; waits for strong slope & trend)
You can pick a version manually or let the AI Suggester switch modes based on slope/ADX/RVOL/acceleration (with a cooldown so it doesn’t flip-flop).
Entry timing: WaveTrend and squeeze momentum improve timing while VWAP slope avoids buying flat tape.
Risk anchor: The EMA – (ATR × Multiplier) “offset line” is your dynamic stop/line in the sand.
Exits:
Base exits (version-aware): WT crossback, momentum fade, price losing offsetLine or EMA.
Flow Exit (2.1): If 1m NetVol and 5m CVD both turn decisively red (with debounce and optional ATR guard), close—no arguing.
Entry rules (exactly what has to be true)
Buy (Core) — fires when all are true:
Not already in a trade
Close > EMA and Close > OffsetLine (offsetLine = EMA − ATR × Mult)
RVOL confirmed (meets dynamic RVOL multiplier)
RSI below the overbought ceiling (version-aware slack in V3)
Squeeze OFF (BBs expanded outside Keltner)
Price > VWAP (toggleable)
Extra for V3 (Trending trades):
VWAP slope gate passes (and, if set, VWAP must be green)
ADX strong (≥ 25 by design, ≥ 20 baseline)
Minimum slopePctPerBar met (default V3 expects ≥ 0.05%/bar)
AI Suggester (optional):
Scores V1/V2/V3 from conditions like ADX, VWAP slope, RVOL, intrabar acceleration, then locks a pick for aiSwitchCoolBars bars.
On-chart help:
Checklist HUD lights up ✅/❌ for each gate (EMA, ATR, RVOL, RSI, VWAP, Slope, etc.).
Trade Quality Rating (🌟x/10) appears on buy bars if enabled.
Exit rules (every sell condition)
Base sells (V1/V2):
WaveTrend crossback (signal crosses over WT) OR
Momentum fade (two darker squeeze momentum bars) OR
Close < OffsetLine OR Close < EMA
Base sells (V3):
Close < OffsetLine OR Close < EMA (trend-respecting; ignores WT/momentum so you’re not shaken out early)
Flow Exit (2.1, applies to all versions if enabled):
In trade AND Flow Exit enabled
1m NetVol window is red (and ≥ Min |NetVol|)
5m CVD (smoothed) is red
**Deb
*** FYI: Play with settings until it fits your style, everything thats set default when script is loaded is what I run currently. I made LES 2.1 more customizable than ever to meet every trades style and execution. LES 2.1 with Lindsay upgrade new AI trade tracking feature (when enabled) and risk management LES 2.1 is something special to meet many challenges a trader faces everyday.
Candles de Agressão (by Lucas Vasquez)Indicator created to assist in the identification of aggressive candles, both buyer and seller. Thus, enabling decision making with high probability.
TR Volume Candles (Lite)Volume candles for your trading pleasure.
What it does
A lightweight recreation of Traders Reality’s “vector candle” coloring. It repaints the price candles (body, wick, and border) based on relative volume and spread×volume so you can spot high-activity bars at a glance—without the overhead of pivots, sessions, zones, or request.security calls.
Logic (matches TR)
Compute the average of the previous 10 bars’ volume (current bar excluded).
Compute volSpread = (high − low) × volume, and compare to the highest volSpread of the previous 10 bars (current bar excluded).
Color rules:
Green / Red (highest priority): volume ≥ 2× 10-bar average or volSpread ≥ highest of prior 10.
Blue / Violet: volume ≥ 1.5× 10-bar average (and not already green/red).
Regular: none of the above.
Colors (defaults align with TR)
Bull candles: Green (2× / spread×vol), Blue (1.5×), otherwise Light Gray.
Bear candles: Red (2× / spread×vol), Violet (1.5×), otherwise Dark Gray.
Why it’s fast
No external libraries, no symbol overrides, no multi-timeframe requests—just native series math on the current chart.
Inputs
Colors only (keep TR defaults or customize). Thresholds and lookback are fixed to TR standards to ensure identical behavior.
Alerts
“Any Vector Candle,” plus individual alerts for Green, Red, Blue, and Purple. For confirmed signals, set alert to Once per bar close.
Notes
Works on all timeframes.
Candle width is unchanged (uniform, as in your screenshot).
Heikin Ashi or other synthetic candle types will color based on those candles’ OHLC/volume; for strict equivalence, use standard candles.
Volume is exchange-feed dependent; anomalies (splits/halts) can spike the logic temporarily.
Use cases
Quickly highlight expansion bars that often precede/confirm momentum. Combine with your trend tools (EMAs, VWAP, MavilimW) or Darvas/box structures for context.
Fixed-Range Volume-Profile ZonesFixed Range Volume Profile Zones (with Dynamic Percentile Buffers)
This indicator calculates a fixed‑range volume profile over a user‑defined lookback period and identifies three key zones:
– VAL (Value Area Low)
– POC (Point of Control)
– VAH (Value Area High)
Volume is grouped into user‑selected price bins to create a profile of where the most trading activity occurred.
The script then splits the distribution into three zones and highlights the extremes (VAL/VAH) and the highest‑volume price (POC).
Dynamic Percentile Buffers
Instead of static offsets, this version computes the 10th and 90th percentile prices (user‑adjustable) of recent closes over the same lookback window.
These percentiles are used to create adaptive buffers above VAH and below VAL.
The buffers automatically expand or contract with market volatility and recent price distribution, filtering out weak or noisy touches.
Visual Elements:
– Green/orange/red horizontal lines = VAL / VAH / POC
– Green shading below VAL = buy zone
– Red shading above VAH = sell zone
– Down arrows above bars = closes above VAH + buffer
– Up arrows below bars = closes below VAL – buffer
Inputs:
– Lookback Days: number of bars used to build the profile
– Number of Bins: controls resolution of the volume profile
– VAH Percentile and VAL Percentile: choose which percentile levels to use for dynamic buffers
Use Cases:
– Quickly identify areas of high participation (POC) and potential support/resistance (VAL/VAH)
– Filter out weak breakouts using dynamic buffers
– Combine with other signals to improve entries/exits
⚠️ Disclaimer:
This script is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Past performance or historical data does not guarantee future results.
Always perform your own analysis and use risk management when trading.
Bid/Ask Volume Oscillator (Estimated)Bid/Ask Volume Oscillator (Estimated)
Overview
The Bid/Ask Volume Oscillator (Estimated) is a Pine Script v6 indicator for TradingView, designed to analyze market pressure through a normalized bid/ask volume oscillator. Displayed as a smoothed oscillator with optional split volume columns, it highlights buying and selling pressure with customizable zones and gradient intensity. Custom normalized scoring ensures consistent cross-asset use. Divergence detection and a heads-up display (HUD) table provide additional insights, making it commonly used for reviewing volume-driven momentum markers/labels.
How It Works
The indicator splits each bar’s volume into bid and ask components based on the candle’s body share (math.max, syminfo.mintick), with a 50/50 split for doji candles—to balance neutral bars in pressure calcs. Rolling sums of bid and ask volumes are calculated over a user-defined lookback (default: 5 bars) using ta.cum. The pressure oscillator is computed as the smoothed difference (ask minus bid) divided by their sum (ta.ema, default: 5 periods), normalized between -1 and +1. Gradient intensity adjusts opacity based on volume relative to a 20-period SMA and previous bar. Divergences are detected by comparing price pivots (ta.pivothigh, ta.pivotlow) with oscillator pivots. The HUD table shows pressure direction and ask share percentage.
Key Features
• Pressure Oscillator: Displays normalized ask-minus-bid pressure with customizable smoothing.
• Split Volume Columns: Optionally plots bid/ask volumes with mirroring below zero.
• Gradient Intensity: Adjusts opacity based on volume strength for enhanced visuals.
• Divergence Detection: Identifies bullish and bearish divergences between price and oscillator pivots.
• Zone Thresholds: Highlights mild (±0.2) and strong (±0.4) pressure zones with background coloring.
• HUD Table: Summarizes pressure direction and ask share percentage.
• Customizable Settings: Adjust lookback, smoothing, thresholds, and colors for tailored analysis.
What It Displays
This indicator offers a unique approach to volume analysis by combining a normalized pressure oscillator with split volume visualization and divergence detection, delivering balanced insights across symbols via uniform -1/+1 scale. Its customizable zones and HUD table make it adaptable for day trading, scalping, or swing trading in stocks, forex, futures, or crypto.
Originality
This indicator is an original Pine v6 implementation using TradingView’s built-in ta.cum, ta.sma, ta.ema, ta.pivothigh, and ta.pivotlow functions.
Common Ways People Use It
• Day traders reviewing real-time pressure and momentum markers/labels.
• Scalpers studying short-term volume-driven setups.
• Technical analysts identifying divergence-based reversals.
Configuration Notes
Configure the volume sum lookback (default: 5 bars), oscillator smoothing (default: 5), and mild/strong zone thresholds (default: 0.2/0.4). Enable/disable split columns, divergence labels, or gradient intensity to suit your chart. Use the oscillator, zone highlights, and HUD table to identify buying/selling pressure and potential reversals.
Legal Disclaimer
These indicators are for informational and educational purposes only—not investment, financial, or trading advice. Past performance is not indicative of future results; trading involves high risk of loss. Provided "as is" with no warranties. Consult a qualified professional before decisions. By using, you assume all risk and agree to this disclaimer.
Body×Volume Pressure (Green vs Red) — array basedBody×Volume Pressure (Green vs Red)
This indicator measures buying vs. selling pressure by looking at candle size together with trading volume. Instead of showing only price or only volume, it blends both into a single view, so you can quickly see when one side of the market is taking control.
It plots three main things:
1. Net Pressure Histogram
• Bars above zero (teal) = stronger buying pressure
• Bars below zero (maroon) = stronger selling pressure
2. Smoothed Net Line (EMA)
• A gray line that tracks the trend of net pressure
• Helps filter noise and spot when momentum is shifting
3. (Optional) Green & Red Pressure Sums
• Transparent teal = total “buy” pressure
• Transparent maroon = total “sell” pressure (plotted negative for symmetry)
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⚙️ Inputs & Terms
• Lookback Window (len):
How many candles the indicator considers when tallying pressure. Larger = smoother, smaller = more sensitive.
• EMA Length (smoothLen):
The smoothing period for the gray Net EMA line. Helps you see the bigger picture trend in pressure.
• Bull/Bear Ratio Thresholds (optional):
Levels that define when buying or selling pressure is strong enough to call it an “imbalance.”
• Show Labels:
If enabled, the script will mark chart points with Bull imbalance or Bear imbalance labels when thresholds are crossed.
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🚀 Quick Start Tutorial
1. Add to chart
• Copy/paste the code into the TradingView Pine Editor.
• Click “Add to chart.”
2. Choose a market and timeframe
• Works on any market (stocks, crypto, forex) and timeframe (1m, daily, weekly).
3. Read the histogram
• Tall teal bars = strong buying push.
• Tall maroon bars = strong selling push.
• Flat/low bars = market indecision.
4. Watch the Net EMA line
• If it trends above zero, buyers are dominating.
• If it trends below zero, sellers are dominating.
• Crossovers near zero can foreshadow momentum shifts.
5. Use thresholds (optional)
• Adjust the Bull and Bear thresholds in settings.
• When the ratio crosses them, labels/alerts will fire to highlight imbalances.
6. Combine with your strategy
• Use it alongside price action, support/resistance, or other indicators.
• Think of it as a confirmation tool for whether buyers or sellers are truly in control.
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👉 This tool doesn’t give buy/sell signals by itself. It shows you pressure dynamics so you can make more informed trading decisions.
Bid/Ask Volume Split (Estimated)Bid/Ask Volume Split (Estimated)
Overview
The Bid/Ask Volume Split (Estimated) is a Pine Script v6 indicator for TradingView, designed to analyze bid and ask volume dynamics without requiring tick data. Displayed as an oscillator, it plots split bid/ask volume columns, rolling sum lines, and a pressure histogram (ask minus bid) to highlight buying and selling pressure. Custom divergence logic spots hidden momentum shifts. The indicator features gradient intensity coloring, divergence detection for bullish/bearish markers/labels, and a status table summarizing key metrics, making it commonly used for reviewing volume-driven insights.
How It Works
The indicator splits each bar’s volume into bid and ask components using the candle’s body share (default) or full allocation for bullish/bearish candles, calculated with math.max and syminfo.mintick—to approximate order flow from OHLC data. Rolling sums of ask and bid volumes are computed over a user-defined lookback (default: 5 bars) using ta.cum for efficiency. A pressure histogram is derived by smoothing the ask-minus-bid difference with an EMA (default: 3 periods). Gradient intensity adjusts opacity based on volume relative to a 20-period SMA and previous bar. Divergences are detected by comparing price pivot highs/lows (ta.pivothigh, ta.pivotlow) with ask/bid sum pivots, marked with lines and labels. A status table displays ask/bid sums, intensity, trend, and pressure.
Key Features
• Split Bid/Ask Volumes: Apportions volume into bid (red) and ask (green) with optional mirroring below zero.
• Rolling Sum Lines: Plots cumulative ask and bid sums with optional fill between lines.
• Pressure Histogram: Shows smoothed ask-minus-bid pressure to illustrate market direction.
• Divergence Detection: Identifies bullish (price lower lows, ask sum higher lows) and bearish (price higher highs, bid sum lower highs) divergences.
• Gradient Intensity: Adjusts opacity based on volume strength for enhanced visual clarity.
• Status Table: Summarizes ask/bid sums, intensity, trend, and pressure direction.
• Customizable Settings: Adjust lookback, sensitivity, smoothing, and colors for tailored analysis.
What It Displays
This indicator offers a robust approach to volume analysis by combining split volume visualization, divergence detection, and pressure metrics, providing clear insights into market momentum without tick data. Its customizable visuals and multi-faceted analysis make it suitable for day trading, scalping, or swing trading in stocks, forex, futures, or crypto.
Originality
This indicator is an original Pine v6 implementation using TradingView’s built-in ta.cum, ta.sma, ta.ema, ta.pivothigh, and ta.pivotlow functions.
Common Ways People Use It
• Day traders reviewing real-time volume and pressure markers/labels.
• Scalpers marking momentum-driven trade setups.
• Technical analysts identifying divergence-based reversals.
Configuration Notes
Configure the volume sum lookback (default: 5 bars), pressure smoothing (default: 3), and divergence pivot settings (default: 3 left/right). Enable/disable split columns, mirroring, fill, or gradient intensity to suit your chart. Use the pressure histogram, divergence markers/labels, and status table to identify buying/selling pressure and potential reversals.
Legal Disclaimer
These indicators are for informational and educational purposes only—not investment, financial, or trading advice. Past performance is not indicative of future results; trading involves high risk of loss. Provided "as is" with no warranties. Consult a qualified professional before decisions. By using, you assume all risk and agree to this disclaimer.
Edge Algo
EDGE ALGO is a trend-following and momentum-based algorithm designed to deliver precise Buy and Sell signals with built-in risk management through dynamic Take Profit and Stop Loss levels.
This invite-only tool was created to assist traders in identifying high-probability trade setups while filtering out market noise and avoiding choppy price action.
🧠 How It Works
Edge Algo combines multiple layers of logic to increase the quality of trade signals:
1. Trend Detection
* A dynamic ATR-based channel determines when the price breaks out in a new direction.
* The trend flips to Bullish or Bearish when price action crosses the adaptive channel, avoiding late entries.
2. Momentum Confirmation
* Custom logic involving RSI (Relative Strength Index) and CMO (Chande Momentum Oscillator) helps filter fake signals.
* Buy conditions require RSI to be under 25 and CMO to confirm upward momentum.
* Sell conditions require RSI to be over 75 and CMO to confirm downward momentum.
3. Support/Resistance Pivot Zones
* Recent highs/lows are used as confirmation points to strengthen entries around key price levels.
4. Entry Logic
* When trend change + momentum filter + pivot confirmation align, the script generates a Buy or Sell signal.
* Each signal is clearly displayed on the chart with custom labels.
🎯 Risk Management (SL/TP Logic)
For every valid entry, the script automatically calculates:
✅ Stop Loss (SL) based on a user-defined percentage
✅Take Profit 1 (TP1) at 1R
✅ Take Profit 2 (TP2) at 2R
✅ Take Profit 3 (TP3) at 3R
This allows traders to follow a consistent risk-to-reward ratio and manage trades using partial exits or full closes at target levels.
📊 Visualization Features
* Optional Cloud Moving Average to visually represent market direction
*Buy/Sell labels on chart with clean styling
* Clearly marked Entry, TP1, TP2, TP3, SL levels
* Real-time alerts for Buy and Sell signals
* Fully customizable styling (colors, cloud, labels, etc.)
⚙️ Best Use Cases
* Timeframes: optimized for 15min to 4H charts
* Pairs: works with Forex, Crypto, Indices, Commodities, and Stocks
* Styles: suitable for scalping, intraday trading, and swing trading
🔒 Why Invite-Only?
Edge Algo PRO contains proprietary logic developed specifically for real-time application with an edge in volatile markets.
To protect the intellectual property and ensure quality use, access is granted only upon request.
VWAP / ORB / VP & POCThis is an all-in-one technical analysis tool designed to give you a comprehensive view of the market on a single chart. It combines three powerful indicators—VWAP, Opening Range, and Volume Profile—to help you identify key price levels, understand intraday trends, and spot areas of high liquidity.
What It Does
The indicator plots three distinct components on your chart:
Volume-Weighted Average Price (VWAP): A benchmark that shows the average price a security has traded at throughout the day, based on both price and volume. It's often used by institutional traders to gauge whether they are getting a good price. The script also plots standard deviation or percentage-based bands around the VWAP line, which can act as dynamic support and resistance.
Opening Range Breakout (ORB): A tool that highlights the high and low of the initial trading period of a session (e.g., the first 15 minutes). The script draws lines for the opening price, range high, and range low for the rest of the session. It also colors the chart with zones to visually separate price action above, below, and within this critical opening range.
Volume Profile (VP): A powerful study that shows trading activity over a set number of bars at specific price levels. Unlike traditional volume that is plotted over time, this is plotted on the price axis. It helps you instantly see where the most and least trading has occurred, identifying significant levels like the Point of Control (POC)—the single price with the most volume—and the Value Area (VA), where the majority of trading took place.
How to Use It for Trading
The real strength of this indicator comes from finding confluence, where two or more of its components signal the same key level.
Identifying Support & Resistance: The POC, VWAP bands, Opening Range high/low, and session open price are all powerful levels to watch. When price approaches one of these levels, you can anticipate a potential reaction (a bounce or a breakout).
Gauging Intraday Trend: A simple rule of thumb is to consider the intraday trend bullish when the price is trading above the VWAP and bearish when it is trading below the VWAP.
Finding High-Value Zones: The Volume Profile’s Value Area (VA) shows you where the market has accepted a price. Trading within the VA is considered "fair value," while prices outside of it are "unfair." Reversals often happen when the price tries to re-enter the Value Area from the outside.
Settings:
Here’s a breakdown of all the settings you can change to customize the indicator to your liking.
Volume Profile Settings:
Number of Bars: How many of the most recent bars to use for the calculation. A higher number gives a broader profile.
Row Size: The number of price levels (rows) in the profile. Higher numbers give a more detailed, granular view.
Value Area Volume %: The percentage of total volume to include in the Value Area (standard is 70%).
Horizontal Offset: Moves the Volume Profile further to the right to avoid overlapping with recent price action.
Colors & Styles: Customize the colors for the POC line, Value Area, and the up/down volume bars.
VWAP Settings:
Anchor Period: Resets the VWAP calculation at the start of a new Session, Week, Month, Year, etc. You can even anchor it to corporate events like Earnings or Splits.
Source: The price source used in the calculation (default is hlc3, the average of the high, low, and close).
Bands Calculation Mode:
Standard Deviation: The bands are based on statistical volatility.
Percentage: The bands are a fixed percentage away from the VWAP line.
Bands Multiplier: Sets the distance of the bands from the VWAP. You can enable and configure up to three sets of bands.
ORB Settings (Opening Range)
Opening Range Timeframe: The duration of the opening range (e.g., 15 for 15 minutes, 60 for the first hour).
Market Session & Time Zone: Crucial for ensuring the range is calculated at the correct time for the asset you're trading.
Line & Zone Styles: Full customization for the colors, thickness, and style (Solid, Dashed, Dotted) of the High, Low, and Opening Price lines, as well as the background colors for the zones above, below, and within the range.