Magic Volume - Projected [MW]Magic Volume – Projected
This lower-pane volume tool estimates the full-bar volume before the bar closes by measuring the current bar’s elapsed time and the rate of incoming volume. It then contrasts that “expected volume” against typical activity and recent momentum to spotlight potential burst conditions (breakout/acceleration), color-codes the live volume stream, and annotates when the projected surge is likely bullish or bearish based on bar structure and recent highs/lows.
Settings
Projected / Expected Volume
Moving Average: EMA length used for volume baseline comparisons. (Default: 14)
Minimum Volume: Hard floor the bar’s raw volume must exceed to qualify as notable. (Default: 10,000)
Consecutive Volume Above 14 EMA: Count required for “sustained” high-volume context. (Default: 3)
Stochastic Volume Burst
Stochastic Length: Window for the Stochastic calculation on volume. (Default: 8)
Smoothing: Smoothing applied to Stochastic volume and its signal. (Default: 3)
Stochastic Volume Breakout Threshold: Level above which Stochastic volume is considered a breakout. (Default: 20)
Volume Bar Increase Amount: Multiplier the current bar’s volume must exceed vs. prior bar to be considered a “burst.” (Default: 1.618)
Plotted Items
Expected Volume (columns): Magenta columns projecting the full-bar volume from intrabar rate. Turns lime when a high expected-volume condition aligns with bullish bar structure; turns red under analogous bearish conditions.
Actual Volume (columns): Live volume columns, color-coded by state:
• Blue = baseline;
• Orange = “burst” (volume rising fast above prior × factor and above baseline);
• Yellow = “burst at breakout” (burst + Stochastic volume breakout);
• Light Blue = Stochastic breakout only.
Volume EMA (line): Yellow EMA for baseline comparison (default 14).
Calculations
Compute elapsed time in the current bar (ms → seconds) and convert the current bar’s accumulated volume into a rate (volume per second).
Project full-bar Expected Volume = (volume so far / seconds elapsed) × bar-seconds.
Compute Volume EMA (default 14) for baseline; derive Stochastic(volume, length) and smoothed signal for momentum.
Define “Burst” conditions:
• Volume > prior volume × Volume Bar Increase Amount;
• Volume > Minimum Volume;
• Volume > Volume EMA;
• Stochastic(volume) rising and/or above threshold.
Classify “Burst at Breakout” when Burst aligns with Stochastic crossover above the Breakout Threshold.
Classify Bullish/Bearish Expected Volume: if Expected Volume is ≥ 1.618 × prior bar volume and prior volume > Volume EMA, then:
• Bullish if bar is green with a rising low;
• Bearish if bar is red with a falling high.
Color-map actual volume columns by state; overlay Expected Volume columns (magenta) and paint conditional overlays (lime/red) when directional context is detected.
How to Use
Spot the Surge Early
When Expected Volume spikes well above typical (and especially above ~1.618× the prior bar) before the bar closes, it often precedes a volatile move. Use this to prepare entries with tight, structure-based risk (e.g., just beyond the current bar’s wick) and asymmetric targets.
Confirm with Momentum
Yellow/orange volume columns indicate burst/breakout behavior in the live tape. When this aligns with a lime (bullish) or red (bearish) Expected Volume column, the probability of follow-through improves—particularly if aligned with prevailing trend or key levels.
Context Matters
Combine with your preferred S/R or structure tools (e.g., order blocks, channels, VWAP) to avoid chasing into obvious supply/demand. The projected surge can mark both continuations and sharp reversals depending on location and broader context.
Alerts
High Expected Volume – Bullish: When projected volume surges and the price action meets bullish conditions (green body with rising low).
High Expected Volume – Bearish: When projected volume surges and the price action meets bearish conditions (red body with falling high).
Other Usage Notes and Limitations
Projected volume depends on intrabar pace; abrupt pauses/flushes can change the projection quickly, especially on very small timeframes.
Minimum Volume and EMA baselines help filter thin markets; adjust upward on illiquid symbols to reduce noise.
A rising projection does not pick direction on its own—directional coloring (lime/red) requires price-action confirmation; otherwise treat magenta projections as “heads-up” only.
As with any single indicator, use within a broader plan (risk management, structure, confluence) to mitigate false positives and improve selectivity.
Inputs (Quick Reference)
Moving Average (int, default 14)
Stochastic Length (int, default 8)
Smoothing (int, default 3)
Stochastic Volume Breakout Threshold (int, default 20)
Volume Bar Increase Amount (float, default 1.618)
Minimum Volume (int, default 10,000)
Consecutive Volume Above 14 EMA (int, default 3)
Forecasting
Machine Learning Price Predictor: Ridge AR [Bitwardex]🔹Machine Learning Price Predictor: Ridge AR is a research-oriented indicator demonstrating the use of Regularized AutoRegression (Ridge AR) for short-term price forecasting.
The model combines autoregressive structure with Ridge regularization , providing stability under noisy or volatile market conditions.
The latest version introduces Bull and Bear signals , visually representing the current momentum phase and model direction directly on the chart.
Unlike traditional linear regression, Ridge AR minimizes overfitting, stabilizes coefficient dynamics, and enhances predictive consistency in correlated datasets.
The script plots:
Fit Line — in-sample fitted data;
Forecast Line — out-of-sample projection;
Trend Segments — color-coded bullish/bearish sections;
Bull/Bear Labels 🐂🐻 — dynamic visual signals showing directional bias.
Designed for researchers, students, and developers, this tool helps explore regularized time-series forecasting in Pine Script™.
🧩 Ridge AR Settings
Training Window — number of bars used for model training;
Forecast Horizon — forecast length (bars ahead);
AR Order — number of lags used as features;
Ridge Strength (λ) — regularization coefficient;
Damping Factor — exponential trend decay rate;
Trend Length — period for trend/volatility estimation;
Momentum Weight — strength of the recent move;
Mean Reversion — pullback intensity toward the mean.
🧮 Data Processing
Prefilter:
None — raw close price;
EMA — exponential smoothing;
SuperSmoother — Ehlers filter for noise reduction.
EMA Length, SuperSmoother Length — smoothing parameters.
🖥️ Display Settings
Update Mode:
Lock — static model;
Update Once Reached — rebuild after forecast horizon;
Continuous — update every bar.
Forecast Color — projection line color;
Bullish/Bearish Colors — colors for trend segments.
🐂🐻 Bull/Bear Signal System
The Bull/Bear Signal System adds directional visual cues to highlight local momentum shifts and model-based trend confirmation.
Bull (🐂) — appears when upward momentum is confirmed (momentum > 0) .
Displayed below the bar, colored with Bullish Color.
Bear (🐻) — appears when downward momentum is dominant (momentum < 0) .
Displayed above the bar, colored with Bearish Color.
Signals are generated during model recalculations or when the directional bias changes in Continuous mode.
These visual markers are analytical aids , not trading triggers.
🧠 Core Algorithmic Components
Regularized AutoRegression (Ridge AR):
Solves: (X′X+λI)−1X′y
to derive stable regression coefficients.
Matrix and Pseudoinverse Operations — implemented natively in Pine Script™.
Prefiltering (EMA / Ehlers SuperSmoother) — stabilizes noisy data.
Forecast Dynamics — integrates damping, momentum, and mean reversion.
Trend Visualization — color-coded bullish/bearish line segments.
Bull/Bear Signal Engine — visualizes real-time impulse direction.
📊 Applications
Academic and educational purposes;
Demonstration of Ridge Regression and AR models;
Analysis of bull/bear market phase transitions;
Visualization of time-series dependencies.
⚠️ Disclaimer
This script is provided for educational and research purposes only.
It does not provide trading or investment advice.
The author assumes no liability for financial losses resulting from its use.
Use responsibly and at your own risk.
Gemini Powerbars v2.1⚙️ Internal Logic — How Powerbars Decides to “Turn On”
Gemini Powerbars analyzes each candle across multiple dimensions — momentum, trend structure, and relative strength context — and produces a binary output: a bar is either “powered” (signal on) or “neutral” (signal off).
Internally, it combines:
RSI velocity (momentum acceleration rather than raw RSI value).
Normalized volume pressure — volume adjusted for average activity over the last n bars, so a quiet day won’t falsely trigger strength.
SMA alignment — where the candle closes relative to the 20- and 50-period SMAs and its own average true range (ATR) position.
Relative Strength (RS) — how the symbol performs versus a market benchmark (like SPY or QQQ).
Only when all these micro-conditions line up does the Powerbar print — meaning the engine sees synchronized energy between price motion, volatility, and strength. This makes the signal highly selective — it doesn’t fade, average, or interpolate. It flips on when aligned, and off when noise dominates.
📊 Dashboard Table — “At-a-Glance Market Engine”
The table in the upper-right corner summarizes what the bars are detecting internally:
Column Description
Momentum A 0-to-5 score derived from the RSI velocity and normalized momentum bursts. Higher = stronger impulse power.
Trend Evaluates whether price is stacked in bullish or bearish order vs. its short and mid-term moving averages. A “5” means full alignment (e.g., price > 20MA > 50MA).
Structure / Zone Indicates whether price is inside a “High-Probability Zone” — areas where recent pullbacks or compression historically lead to expansion. This helps filter continuation setups from false breakouts.
Volume Bias Tracks whether current volume exceeds the rolling 10-bar average, confirming participation.
RS Score The relative strength percentile versus the benchmark. Shows if the ticker is outperforming the overall market trend.
The table dynamically updates each bar, so you can see why a Powerbar fired — for example, Momentum = 5 and RS = 5 with Trend = 4 means you’ve got a textbook momentum thrust. If those start dropping back to 2-3 while bars stay “on,” it’s an early warning of exhaustion or fading participation.
In short, Gemini Powerbars isn’t guessing — it’s measuring engine torque. The bars tell you when ignition happens; the dashboard tells you why.
Luxy UT BOT Watchlist ScannerUT BOT Watchlist Scanner - User Guide
Version: 1.0
Overview
The Luxy UT BOT Watchlist Scanner is a multi-symbol monitoring tool that combines the UT Bot (Ultimate Trailing Stop) algorithm with real-time scanning capabilities. It allows traders to monitor up to 10 symbols simultaneously for trend reversals based on ATR trailing stops, without needing to manually switch between charts.
What is UT Bot?
UT Bot is a trend-following indicator that uses ATR (Average True Range) to create a dynamic trailing stop. When price crosses above the trailing line, it signals a potential uptrend (BUY). When price crosses below, it signals a potential downtrend (SELL).
Key Features
Real-Time Multi-Symbol Scanning
Monitor up to 10 symbols for UT Bot signals without switching charts. The scanner checks each symbol on your selected timeframe and displays recent flips in a table.
Customizable Timeframe
Scan symbols on any timeframe (1m to Daily) independently of your current chart timeframe. This allows you to trade on 5-minute charts while monitoring 1-hour signals across multiple symbols.
TTL (Time-To-Live) Management
Symbols appear in the table only when they flip and remain visible for a configurable duration (default: 5 minutes). This prevents clutter and focuses attention on recent opportunities.
Real-Time Alerts
Receive TradingView alerts when any monitored symbol flips. Optional daily throttling prevents alert spam on volatile tickers.
On-Chart UT Visualization
Display the UT trailing stop line and buy/sell labels directly on your current chart for manual analysis.
Who Is This For?
Day Traders
Scan multiple stocks or forex pairs for breakout signals without missing opportunities on other charts.
Swing Traders
Monitor a portfolio of assets on higher timeframes (4H, Daily) to catch major trend reversals.
Multi-Asset Traders
Track symbols across different sectors or asset classes simultaneously (stocks, crypto, forex).
Alert-Based Traders
Set up alerts and step away from the screen. Get notified only when your monitored symbols generate signals.
Advantages Over Similar Indicators
Versus Manual Chart Switching
Eliminates the need to cycle through multiple charts manually. All signals appear in one consolidated table.
Versus Single-Symbol UT Bot
Standard UT Bot indicators only work on the current chart. This scanner extends the functionality to 10 symbols at once.
Versus Screeners
Most screeners require premium subscriptions and operate outside TradingView. This tool works entirely within your existing TradingView setup.
Performance Optimized
Smart scanning logic reduces unnecessary calculations. The scanner only processes data when the target timeframe bar is confirmed, minimizing CPU load.
How To Use
Step 1: Add To Chart
Open any chart in TradingView
Click "Indicators" and search for "Luxy UT BOT Watchlist Scanner"
Add the indicator to your chart
Step 2: Configure UT Bot Settings
Sensitivity (Key × ATR)
Controls how tight or loose the trailing stop follows price.
Recommended starting points:
Scalping (1-5m charts): 0.9 - 1.2
Day Trading (5-60m charts): 1.3 - 2.2
Swing Trading (4H-D charts): 1.7 - 3.0
Lower values = more signals, faster reactions, higher noise
Higher values = fewer signals, stronger trends, less noise
ATR Period
Number of bars for volatility calculation.
Recommended starting points:
Scalping: 5-7 bars
Day Trading: 7-14 bars
Swing Trading: 10-21 bars
Shorter periods = more responsive to recent volatility
Longer periods = smoother, less reactive to noise
Step 3: Configure Watchlist Scanner
Symbols to Scan
Enter up to 10 symbols separated by commas.
Example: AAPL, MSFT, NVDA, TSLA, AMZN
For stocks, use the ticker symbol only (not exchange prefix).
For crypto, use the full pair name (BTCUSD, ETHUSD).
For forex, use standard pairs (EURUSD, GBPUSD).
Scanner Timeframe
Select the timeframe for signal detection across all symbols.
Recommended combinations:
Chart: 5m, Scanner: 15m (day trading with confirmation)
Chart: 15m, Scanner: 1H (swing trading setup)
Chart: 1H, Scanner: 4H (position trading)
The scanner timeframe can differ from your chart timeframe. This is useful for multi-timeframe analysis.
Keep Hits For (TTL)
How long symbols remain visible in the table after a flip.
Recommended settings:
Active monitoring: 5-10 minutes
Passive monitoring: 15-30 minutes
Symbols that flip again within the TTL window reset the timer.
Step 4: Set Up Alerts (Optional)
To receive notifications when any symbol flips:
Enable "Enable Runtime Alerts" in the scanner settings
Click the TradingView alert button (clock icon)
Set condition to: "Any alert() function call"
Configure your notification preferences (popup, email, webhook)
Click "Create"
Optional: One Alert Per Symbol Per Day
Enable this to limit alerts to once per calendar day per symbol. Useful for volatile tickers that flip multiple times.
Recommended Settings By Trading Style
Scalping (1-5 minute charts)
Sensitivity: 1.0
ATR Period: 5
Scanner Timeframe: 3m or 5m
TTL: 5 minutes
Best for: High-frequency traders monitoring liquid assets
Day Trading (5-60 minute charts)
Sensitivity: 1.5
ATR Period: 10
Scanner Timeframe: 15m or 30m
TTL: 10 minutes
Best for: Intraday swing trades with moderate position holding
Swing Trading (4H-Daily charts)
Sensitivity: 2.2
ATR Period: 14
Scanner Timeframe: 4H or D
TTL: 30 minutes
Best for: Multi-day positions and trend following
Conservative Approach (Low Noise)
Sensitivity: 3.0
ATR Period: 21
Scanner Timeframe: D
TTL: 30 minutes
Best for: Long-term investors wanting only strong trend changes
Note: These are configuration suggestions, not trading advice. Always test settings on historical data and adjust based on the asset's volatility and your risk tolerance.
Understanding The Table
The watchlist table appears at your selected position (default: bottom left) and displays:
SYMBOL column: Ticker symbol that flipped
SIGNAL column: BUY (green) or SELL (red)
Symbols are sorted with the most recent flip at the bottom.
The table updates in real-time as symbols are scanned. If no symbols are currently active, the table will be empty or show only the header.
Performance Notes
How The Scanner Works
The scanner processes symbols in batches to minimize load. Each bar, it scans up to 10 symbols and checks for signal changes.
The smart timing optimization ensures scanning only occurs when the target timeframe bar is confirmed, reducing unnecessary calculations by approximately 70 percent.
Symbol Limit
The maximum is 10 symbols to maintain performance. If you need to monitor more symbols, you can add the indicator multiple times with different symbol lists.
Calculation Bars
The scanner uses 300 historical bars for accurate signal detection. This ensures proper ATR calculation even when scanning symbols different from your current chart.
Troubleshooting
Table not showing any symbols
Verify symbols are entered correctly (no extra spaces)
Check that symbols are valid for your TradingView plan
Ensure "Show Watchlist Table" is enabled
Wait for at least one symbol to generate a signal
Alerts not triggering
Confirm "Enable Runtime Alerts" is on
Verify you created an alert with condition "Any alert() function call"
Check that you're viewing the chart in real-time (not replay mode)
Invalid symbol errors
Remove any exchange prefixes (use AAPL, not NASDAQ:AAPL)
For crypto, ensure you're using the correct pair format for your exchange
Some symbols may require premium data access
Too many or too few signals
Adjust the Sensitivity value (lower = more signals, higher = fewer signals)
Try a different ATR Period
Consider changing the scanner timeframe
Important Disclaimers
This indicator is a technical analysis tool only. It does not predict future price movements or guarantee trading profits.
All suggested settings are for educational purposes and should be tested in a demo environment before live trading.
The UT Bot algorithm generates signals based on historical price data and volatility. Like all technical indicators, it can produce false signals, especially in choppy or ranging markets.
Always use proper risk management, position sizing, and additional confirmation methods when making trading decisions.
Past performance of any trading strategy or methodology is not indicative of future results.
ADAM Projection - Efficiency Ratio Adaptive)Overview
The ADAM Projection is a visualization of how a price path might extend from its recent motion, expressed as a continuation (trend reflection) or anti-trend (mean reversion) pattern. This indicator expands upon Jim Sloman’s original ADAM projection—introduced in “The Adam Theory of Markets or What Matters Is Profit” (1983)—by adding a modern quantitative framework for Efficiency Ratio (ER) weighting, time-scaled path normalization, and smooth blending between continuation and anti-trend projections.
What Is the ADAM Theory?
Jim Sloman’s original ADAM projection was designed to model pure trend continuation. He proposed that every market motion could be mirrored around a central anchor price (the “Adam line”), effectively reflecting past price movements forward in time to visualize what a continuation of the same geometric path would look like. This reflection concept captured the idea that market structure exhibits self-similarity and that price trends often extend symmetrically beyond recent pivots.
How This Script Extends It
This version generalizes Sloman’s concept by introducing an adjustable blend between continuation (reflection) and anti-trend (forward paste) behavior, weighted by an adaptive ER domain.
Anchor Axis
The reflection axis (anchorPrice) can be Close, HL2, HLC3, or OHLC4.
The projection is drawn forward from this anchor for a user-defined horizon (len bars).
Dual Paths
Continuation (Reflection): Mirrors historical closes across the anchor.
Anti-trend (Forward Paste): Extends historical closes directly forward without inversion.
Efficiency Ratio (ER)
The Efficiency Ratio measures how directional recent price movement has been: ER = |Net Change| / Σ|Δi|
Values near +1 indicate strong directionality (favoring continuation); values near 0 indicate noise or consolidation (favoring anti-trend behavior).
Signed ER Normalization
ER values are mapped into a user-defined domain between erMin and erMax, with:
erSharp (γ) controlling the steepness of the blend curve
erFloor providing stability when ER ≈ 0
beta (β) weighting volatility across time (β = 0.5 approximates √time scaling)
Blended Projection
Each projected point is a weighted combination of the two paths: y_proj = (1 − w) * y_fade + w * y_cont
The blend factor w is derived from the normalized ER domain and gamma shaping, producing a smooth morph between the anti-trend and continuation geometries.
Visualization
The teal projection line shows the dynamically blended continuation/anti-trend forecast for the next len bars.
The gray anchor line marks the reflection axis.
Each segment adapts in real time based on ER magnitude and recent path structure.
Key Parameters
Core: len, anchorPrice, lineThin — projection horizon and appearance
Lines: showProj, colProj — show or recolor projection
ER Domain: erMin, erMax, erSharp, erFloor, beta — control domain scaling, shaping, and time weighting
Practical Use
High ER values emphasize continuation (trend-following behavior).
Low or negative ER values emphasize fading or mean reversion.
The projection helps visualize whether recent structure supports trend persistence or weakening.
Interpretation
The ADAM Projection is not a predictive indicator but a geometric tool for studying market symmetry and efficiency. It provides a structured way to visualize how recent movements would look if extended forward under both continuation and anti-trend assumptions. This blends Sloman’s original reflection concept with modern ER-based adaptivity.
Summary
Origin: Jim Sloman (1983) — trend continuation via reflection symmetry.
Extension: Adds ER-driven blending to model both continuation and anti-trend regimes.
Concept: Price reflection vs. direct forward extension.
Purpose: Study of geometric price symmetry and efficiency, not a trade signal.
Multi Brownian Forecast📊 Multi Brownian Forecast (Time-Adaptive, Probabilistic)
This indicator uses a sophisticated Geometric Brownian Motion (GBM) Monte Carlo simulation to project future price paths. It adapts to any chart timeframe and provides quantitative, multi-period probability signals.
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🧠 Core Mathematical Methodology
The model relies on GBM, which is a continuous-time stochastic process that models asset prices.
1. Historical Analysis (Drift & Volatility):
* The script first calculates Logarithmic Returns over a user-defined Historical Lookback (Hours) .
* Drift ($\mu$): Computed as the average of the log returns.
* Volatility ($\sigma$): Computed as the standard deviation of the log returns.
* These values are then time-adapted to an hourly step, compensating for the chart's current timeframe (e.g., 5-minute, 1-hour).
2. Monte Carlo Simulation:
* It runs a specified Number of Simulations (e.g., 1000).
* For each simulation, the price is stepped forward hourly using the GBM formula, which incorporates the calculated drift and a random shock drawn from a normal distribution (generated via the Box-Muller transform ).
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✨ Key Features
Probabilistic Quartile Forecast: Plots a dynamic "cone" of probability on the chart. It shows key price percentiles (Q1, Q2/Median, Q3, and Q4/Outer Bound) at the forecast's expiration, visualizing the expected range of price outcomes based on the simulations.
Multi-Period Probability Signals: This is the core signal feature. Users can define multiple, independent forecast periods (e.g., 4h, 16h, 48h) in a comma-separated list.
* For each period, a Probability Up and Probability Down is calculated based on hitting a custom Target Price Change (%) (e.g., 2%) at a certain confidence level given a simulation over the historical backlook.
* The probabilities are displayed in a chart table. The cell text turns white if the calculated probability exceeds the user-defined Signal Confidence (%) .
Conditional Fibonacci Retracement: Optionally displays a Fibonacci Retracement on the chart. This feature is only activated when one of the multi-period signals reaches its minimum confidence threshold, providing a contextual technical level when a probabilistic edge is found.
FVG Scanner ProFVG Scanner Pro — Smart Fair Value Gap Detector (with HTF context & proximity alerts)
What it does
FVG Scanner Pro automatically finds Fair Value Gaps (FVGs) on your current chart and (optionally) on a higher timeframe (HTF), draws them as color-coded zones, and notifies you when price comes close to a gap boundary using an ADR-based proximity trigger and (optional) volume confirmation. It’s designed for ICT-style gap trading, confluence building, and clean visual execution.
How it works:
FVG definition
* Bullish FVG (gap up): low > high (the current candle’s low is above the high 2 bars ago).
* Bearish FVG (gap down): high < low (the current candle’s high is below the low 2 bars ago).
* Gaps smaller than your Min FVG Size (%) are ignored. (Gap size = (top-bottom)/bottom * 100.)
Higher-timeframe logic (auto-selected)
The script auto picks a sensible HTF:
1–5m → 15m, 15m → 1H, 1H → 4H, 4H → 1D, 1D → 1W, 1W → 1M, small 1M → 3M, big ≥3M → 12M.
You can display HTF FVGs and even filter so current-TF FVGs only show when they overlap an HTF gap.
Proximity alerts (ADR-based)
The script computes ADR on the current chart timeframe over a user-set lookback (default 20 bars).
An alert fires when price moves toward the closest actionable boundary and comes within ADR × Multiplier:
Bullish: price moving down, within distance of the bottom of a bullish FVG.
Bearish: price moving up, within distance of the top of a bearish FVG.
Yellow ▲/▼ markers show where a proximity alert triggered.
Volume filter (optional)
Require volume to be greater than SMA(20) × multiplier to accept a newly formed FVG.
Lifecycle
Each gap remains active for Extend FVG Box (Bars) bars.
You can delete the box after fill, or keep filled gaps visible as gray zones, or hide them.
Color legend
Current-TF Bullish: Pink/Magenta box
Current-TF Bearish: Cyan/Turquoise box
HTF Bullish: Gold box
HTF Bearish: Orange box
Filled (if shown): Gray box
Alert markers: Yellow ▲ (bullish), Yellow ▼ (bearish)
Inputs (what to tweak)
Show FVGs: Bullish / Bearish / Both
Max Bars Back to Find FVG: collection window & cleanup guard
Extend FVG Box (Bars): how long a zone stays tradable/active
Min FVG Size (%): ignore micro gaps
Delete Box After Fill & Show Filled FVGs: choose how you want completed gaps handled
Show Alert Markers: show/hide the yellow proximity arrows
Show Higher Timeframe FVG: overlay HTF gaps (auto TF)
HTF Filter: only display current-TF gaps that overlap an HTF gap
ADR Lookback & Proximity Multiplier: tune alert sensitivity to your market & timeframe
Volume Filter & Volume > MA Multiple: require above-average volume for new gaps
Built-in alerts (ready to use)
Create alerts in TradingView (⚠️ “Once per bar” or “Once per bar close”, your choice) and select from:
🟢 Bullish FVG Proximity — price approaching a bullish gap bottom
🔴 Bearish FVG Proximity — price approaching a bearish gap top
✅ New Bullish FVG Formed
⚠️ New Bearish FVG Formed
The alert messages include the symbol and price; proximity markers are also plotted on chart.
Tips & best practices
Use FVGs with market structure (break of structure, swing points), order blocks, or liquidity pools for confluence.
On very low timeframes, raise Min FVG Size and/or lower Max Bars Back to reduce noise and keep things fast.
Extend FVG Box controls how long a zone is considered valid; align it with your holding horizon (scalp vs swing).
Information panel (top-right)
Shows your mode, current HTF, number of gaps in memory, active bull/bear counts, and current-TF ADR.
Daily ±10% from last day close(Taiwan)A 10% price limit block is implemented based on Taiwan Stock Exchange rules to support trade planning.
Feature Description:
- During trading hours, displays the ±10% reference range
based on the current daily candlestick (supported on intraday timeframes).
- After market close, provides an option to display the
±10% reference range for the next trading day (daily timeframe only).
依據臺灣證券交易所之規定，設計採用10%漲跌幅區間，以利交易策略規劃與風險控管。
功能說明:
- 在交易時段內，顯示以當日參考價為基準的 ±10% 區間 （支援日K以下的時間週期）。
- 收盤後，可選擇顯示下一交易日的 ±10% 區間 （僅支援日K）。
Afshin Previous Day Box (with Midline & Premarket Levels)Description:
The Afshin Previous Day Box indicator automatically plots a visual box around the previous trading day’s high and low range on your Thinkorswim chart.
It includes:
Previous Day High – top of the box
Previous Day Low – bottom of the box
Premarket High and Low – plotted as thin lines to highlight early-session extremes
Midline (Center Line) – a dashed line drawn through the exact midpoint between the previous day’s high and low, giving a clear visual reference for market balance
This indicator helps traders:
Identify key support and resistance zones from the prior session
Measure how the current price interacts with the previous range (breakouts, reversals, etc.)
Quickly gauge market bias (above or below midline = bullish or bearish sentiment)
⚙️
Usage Tips:
Works best on intraday charts (1min–15min)
Use alongside VWAP, volume profile, or expected move indicators for additional confluence
The midline can serve as an intraday pivot reference
Premarket levels highlight early volatility zones useful for morning breakout strategies
Dynamic RSI ColumnsElevate your trading analysis with Dynamic RSI Columns by IndicatorEliteFlow . This premium invite-only indicator transforms the Relative Strength Index (RSI) into color-coded columns for quick, intuitive insight into market momentum.
Key Features:
Customizable Midpoint: Adjust the reference level (default 50) to match your trading strategy. The indicator automatically adapts column coloring based on your chosen midpoint.
Dynamic Coloring: Columns change color according to trend direction and position relative to the midpoint:
Above midpoint & rising → bright green
Above midpoint & falling → pale green
Below midpoint & falling → bright red
Below midpoint & rising → pale red
Unchanged → grey
Optional RSI Line: Overlay a traditional RSI line for added clarity.
Overbought / Oversold Levels: Visual guides to quickly identify extreme market conditions.
Background Highlights: Optional shading when RSI enters overbought or oversold zones.
Why Use It:
Designed for traders seeking a fast, visual way to assess momentum , this indicator works on multiple timeframes and supports both trend-following and mean-reversion strategies.
Invite-Only Access:
This is a premium invite-only indicator . Redistribution or sharing of this script is strictly prohibited. Access is granted only via direct approval by IndicatorEliteFlow .
Disclaimer:
Trading involves substantial risk and is not suitable for every investor. Dynamic RSI Columns is a technical analysis tool and does not constitute financial, investment, or trading advice . Users are solely responsible for their trading decisions and risk management. Past performance is not indicative of future results, and no guarantees are made regarding the accuracy, completeness, or reliability of the information provided.
By using this indicator, you acknowledge and accept that:
You are trading at your own risk.
You will not hold IndicatorEliteFlow liable for any trading losses or damages.
The indicator is provided “as-is” for educational and analytical purposes only.
You should seek independent financial advice before making any investment decisions.
Cal's simple ORB lines - London and NYC15 mins timeframe.
Super simple. Just lines on the high and low for the following 4 hours.
It's set to BST time. Edit as you need.
Trend DashboardTrend Dashboard Indicator
The Trend Dashboard is a custom TradingView Pine Script v5 indicator designed to provide a comprehensive analysis of Bitcoin (BTCUSD) market trends across multiple timeframes. It evaluates eight popular technical indicators—RSI, MACD, EMA, Bollinger Bands, ADX, Aroon, Volume, and Ichimoku Cloud—and displays their bullish, bearish, or neutral status in a clear, color-coded table in the bottom-right corner of the chart. Additionally, it calculates an overall trend assessment based on the collective signals of these indicators, making it a valuable tool for traders seeking a quick, at-a-glance view of market conditions.
BrahmastraThe Bharmastra Indicator is a powerful, custom-built trading tool designed to help traders identify precise entry points, target levels, and stop-loss (SL) zones with unmatched clarity. Inspired by the mythical weapon of ultimate precision, this indicator acts as your strategic edge in volatile markets.
[NBK] Cover Buy Sell Cover Buy Sell — idea
Purpose
Detect high-quality engulfing turning points, but only when they align with a short-term trend.
Cover Buy = Bullish engulfing / piercing that appears in a short-term downtrend.
Cover Sell = Bearish engulfing (full-candle or body engulf / dark-cloud style) that appears in a short-term uptrend.
Signal logic
Bullish side
Body Engulf: current green body fully covers prior red body.
Piercing (relaxed): prior red → current green closes above prior body midpoint (≤ prior open).
Bearish side
Full Candle Engulf: current red candle (body+wicks) covers the entire prior candle.
Body Engulf: current red body covers prior body.
Dark Cloud (relaxed): prior green → current red closes below prior body midpoint.
Trend model (short-term, non-repainting)
EMA slope is measured between bar-1 and bar-2 and must exceed an ATR-scaled threshold:
Slope < 0 ⇒ downtrend (only Bull signals).
Slope > 0 ⇒ uptrend (only Bear signals).
Quality filters
Body filter: bodies must not be tiny. Compare each body to the average body over a lookback; for Bear signals an alternative check ensures current body ≥ a ratio of the prior body.
Peak filters (Bear only):
High must be far above EMA by a minimum fraction of ATR.
High must be near the local highest within a lookback (current or previous bar).
Close must break prior low by an ATR-scaled amount.
These remove premature “sell” flags in choppy ranges and keep the later, cleaner reversal.
Inputs to tune
lenTrend, slopeAtrPct, atrLen (trend strength)
lenBodyRef, minBodyPct, bearRatioMin (body size)
emaDistAtrMin, nearHighLen, nearHighTol, breakAtrMin (bearish peak confirmation)
Usage tips
To reduce early Cover Sell, raise emaDistAtrMin / nearHighLen / breakAtrMin.
If you miss good tops, nudge those down slightly.
Works on any symbol/TF; signals are evaluated on bar close; no repaint.
Includes alert conditions for both sides.
This is a screening tool, not financial advice. Combine with structure/levels and your risk plan.
Probability Score Momentum UP/DOWN signalsProbability Score Momentum is an advanced multi-factor trading indicator that combines institutional-grade filters with probability scoring to identify high-conviction trade opportunities. This indicator goes beyond simple moving average crossovers by validating signals through multiple momentum confirmations, trend alignment, and context-aware market structure analysis.
Each signal is automatically rated:
EXCELLENT (75-100) - All conditions aligned, highest probability
GOOD (62-74) - Strong setup with trend confirmation
MARGINAL (62+) - Meets threshold but lacks trend alignment
POOR (<62) - Below probability threshold (no signal shown)
Alert Setup
The indicator includes 4 pre-configured alert conditions:
🚀 LONG Signal - High-probability long entry
🔻 SHORT Signal - High-probability short entry
⬆️ MT Flip Up - Madrid Trend flips bullish (early warning)
⬇️ MT Flip Down - Madrid Trend flips bearish (early warning)
Trading Strategy Examples
Scalping Strategy (1-5m charts)
Enable all filters
HTF: 15m
ADX Threshold: 25+
Probability: 65+
Use Chandelier Exit for stops
Target: 1-2 ATR moves
Day Trading Strategy (5-15m charts)
Enable Vin Context
PDH/PDL: ETH Daily
Session Gate: Enabled
Probability: 62+
Entry: After breaking session range
Exit: Chandelier trail or opposite signal
Swing Trading Strategy (1H-4H charts)
HTF: 4H or Daily
ADX Threshold: 30+
Probability: 70+
Focus on EXCELLENT signals only
Use Vin EMAs for trend context
Hold through minor pullbacks
Ajir Sentiment Oscillator (ASO) + Divergence v2.4A combination of different indicators to normalize into 1.
London Midpoint Raid [Plazo Sullivan Roche Capital]London Midpoint BOS AI™ – User Manual
By Plazo Sullivan Roche Capital
Core Strategy in a Nutshell
The London Midpoint BOS AI™ is a precision intraday tool built on ICT and Smart Money Concepts (SMC) principles. It identifies London session reversal-to-continuation setups that align with higher-timeframe (HTF) bias and true market intent.
In essence:
When the Daily and 4H structure is bullish, the market often dips below equilibrium during London’s early volatility to grab liquidity before resuming upward.
Conversely, in a bearish structure, it typically spikes above equilibrium before continuing downward.
The tool automatically detects:
HTF Bias (Daily + H4) via EMA or structure logic
Yesterday’s mid-range (equilibrium)
Intraday Break of Structure (BOS) on your 2–5-minute chart
Volume expansion, confirming institutional displacement
Optional VWAP confluence for extra precision
When all filters align, the script marks BUY or SELL signals during the London Killzone (02:30–04:30 NY time) — when 70% of the day’s institutional liquidity is set.
What’s in It for You
Benefit Description
🎯 Ultra-High Precision Entries
Trades only when price sweeps the prior day’s equilibrium and confirms BOS with real volume expansion.
🧩 Institutional Logic, Simplified
Combines ICT, SMC, and Goldbach bias confirmation without clutter — showing only signals that matter.
⚙️ Adaptive Multi-Timeframe Bias
Auto-syncs with your Daily & H4 direction, ensuring you only trade with macro momentum.
🔔 Alert-Ready for Automation
BUY and SELL alert conditions are pre-built for webhook integration with cTrader or brokers.
📊 Clean Dashboard Interface
Real-time HTF bias panel keeps you aligned with the larger market context.
⏱ Session-Specific Smart Filtering
Restricts signals to the London Killzone for maximum precision and volatility efficiency.
Best Usage Guide
✅ Recommended Chart & Assets
Chart timeframe 2-minute to 5-minute
Higher timeframes monitored 4H and Daily
Pairs & Assets EURUSD, GBPUSD, XAUUSD (Gold), DXY, NAS100
Session London Killzone – 02:30 to 04:30 New York time
Ideal Market Conditions
Asian session forms a narrow, defined range (low volatility).
Price sweeps below or above yesterday’s midpoint during early London volatility.
HTF bias is clear and unconflicted (both Daily and 4H agree).
A strong BOS candle with volume expansion appears immediately after sweep.
VWAP alignment supports the intended direction.
Avoid trading:
Mixed HTF signals (Daily bullish, H4 bearish).
Large fundamental days (CPI, NFP, FOMC).
Markets already heavily trending with no retracement.
Tool Settings Breakdown
Session Control
Limit to London Killzone Filters signals only between 02:30–04:30 NY time.
HTF Bias Method
EMA or Structure Choose how Daily/H4 bias is determined.
Midpoint Logic
Require Sweep of Yesterday’s Midpoint Only triggers signals after liquidity sweep around yesterday’s mid-level.
Volume Confirmation
Volume SMA Length, Volume Expansion ≥ Confirms BOS with a spike in relative volume.
VWAP Confluence
Require VWAP alignment Adds institutional volume reference for more accurate trades.
Display Options
Show Dashboard, Show Midpoint, Show Labels Customize visibility of components for clarity.
How to Interpret Signals
BUY Signal (Bullish Setup)
HTF (Daily & H4) bias = Bullish
Price sweeps below yesterday’s midpoint
A BOS up forms on the 2–5m chart
Volume expansion confirms displacement
Optional VWAP confluence: Price above VWAP
deal Entry:
Buy on retracement to the BOS candle midpoint or a micro Fair Value Gap (FVG).
Target:
First partial at 1R or prior high
Final target near London session high or daily liquidity level
SELL Signal (Bearish Setup)
HTF (Daily & H4) bias = Bearish
Price sweeps above yesterday’s midpoint
A BOS down forms on the 2–5m chart
Volume expansion confirms displacement
Optinal VWAP confluence: Price below VWAP
Ideal Entry:
Sell on retracement to BOS candle midpoint or micro FVG fill.
🎯 Target:
First partial at 1R or session equilibrium
Final target at London low or key liquidity pocket
Best Setup Configuration
Parameter Recommended Value
Timeframe 2-minute or 3-minute
HTF Bias Method EMA (20)
Require Sweep of Midpoint ✅ Enabled
Volume Expansion ≥ 1.5x to 2.0x average
VWAP Filter ✅ Enabled
Session Limit ✅ London Killzone (02:30–04:30 NY)
Display Dashboard ON, Midpoint ON, Labels ON
This configuration yields an excellent balance of signal clarity, precision, and frequency — typically 2–4 valid trades per week per pair, with average R:R of 2.5–4.0.
Pro Tips for Maximum Edge
Bias Confirmation: Always double-check that Daily and H4 structure are aligned before entering.
Session Timing: Wait for the London open (02:30–03:00 NY). Avoid early pre-London signals.
Volume Clues: The best trades come when BOS candles show clear displacement — wide-range, high-volume bars.
Liquidity Targets: Focus on previous day’s high/low, session highs/lows, or obvious liquidity pools.
Psychological Precision: Don’t chase; let the tool print the signal after the sweep, then wait for confirmation.
🔔 Alerts & Automation
Pre-built alert conditions:
BUY: London Midpoint BOS
SELL: London Midpoint BOS
Use them for:
Webhook connections (e.g., cTrader, MT5, or Discord alerts).
External trade execution bots or journaling tools.
🏁 Summary
The London Midpoint BOS AI™ distills institutional concepts into a clean, actionable framework for traders who want to:
Trade only high-probability London setups
Filter out noise and fake reversals
Align entries with HTF direction and real liquidity intent
It’s your daily edge to capture the most profitable 90-minute window in global forex — the London Killzone, where precision beats volume every time.
MACD cross over Buy/SellThis Indicator is purely on buying and selling the Script based on the MACD crossover Signals, which can be used for Scalping and finding the trend of the script for short and long term. When the MACD Line crosses the Signal line upwards, the script will move towards higher, and will move towards Lower when it crosses downwards. It's simple. Particularly, when the MACD line Crosses above the zero line after crossing the Signal line, the momentum will be high. Whereas when the MACD line Crosses below the zero line after crossing the Signal line downward, the momentum of falling will be high.
FMA Pro v1.0Foxbrady Moving Average Pro - uses EMA for tick based charts and SMA for time based charts, automatically.
Stochastic RSI (Weekend option) — stableStochastic RSI (Weekend option)
This is a regular Stochastic RSI oscillator, the only difference is that it now allows you to exclude weekends from the calculation (you can enable or disable this feature in the settings).
Please note.
Trading days on weekends are different due to the lack of volumes and movements. The flatness that occurs on weekends negatively affects the calculations of indicators (especially when determining overbought or oversold conditions).
ARJ@combo This indicator tracks the combined premium of a Call and Put option (straddle) and overlays technical signals to help traders analyze option market behavior more effectively.
It is especially useful for BANKkNIFTY / NIFTY options, but you can apply it to any instrument by simply selecting the strike price symbols.
