ICT Macro Tracker (xx:45-xx:15) (MTMGBS)Adjusted pinescript to reflect xx:45-xx:15 instead of the traditional xx:50-xx:15
Taxa de Variação (ROC)
Londen & New York Sessies (UTC+2)This script highlights the London and New York trading sessions on the chart, adjusted for UTC+2 timezone. It's designed to help traders easily visualize the most active and liquid periods of the Forex and global markets directly on their TradingView charts. The London session typically provides strong volatility, while the New York session brings increased momentum and overlaps with London for powerful trading opportunities. Ideal for intraday and session-based strategies.
Oscillator CandlesticksI've always wondered why we don't use candlesticks for oscillators...then I stopped wondering and made an oscillator with candlesticks.
The following oscillators are available as a proof of concept:
* Consumer Channel Index (CCI)
* Rate of Change (ROC)
* Relative Strength Index (RSI)
* Trend Strength Index (TSI)
You can add a moving average to the ohlc4 value of the oscillator and choose the type of the moving average and whether it should be influenced by volume.
Relative Strength (RS) By @Byte2Bull📈 Relative Strength (RS) By @Byte2Bull
📌 Overview
This indicator plots a Relative Strength (RS) line that compares the performance of the chart symbol to any benchmark symbol (index, ETF, or stock). By comparing the stock’s price movement to that of the benchmark, this tool highlights whether a stock is outperforming or underperforming the market.
RS value = (Price of symbol / Price of benchmark) × 100
It highlights hidden leaders and emerging strength through dynamic line plots, customizable moving average, and powerful new high detection features, enabling more informed trading decisions.
🛠 Key Features
⦿ Custom Benchmark Selection
Compare any stock with your chosen benchmark (default: NSE:NIFTYMIDSML400), such as NIFTY50, BANKNIFTY, or sector indices.
⦿ Relative Strength Line with Dynamic Coloring
Green when RS is above its moving average (strength/outperformance).
Red when RS is below its moving average (weakness/underperformance).
⦿ Configurable Moving Average
Apply either EMA or SMA over RS with customizable length. This helps smooth out volatility and provides a clear reference trend.
⦿ New High Detection
Marks when RS makes a new high.
Highlights when RS makes a new high before price does → a powerful early signal of hidden strength.
⦿ MA Crossover
Optional marker for when RS crosses above its moving average, signaling potential start of leadership.
⦿ Visual Enhancements
Adjustable line thickness.
Fill area between RS and its MA with green/red shading for quick interpretation.
Customizable colors for all key signals.
⦿ Built-in Alerts
Set alerts for:
RS New High
RS New High Before Price
Bullish MA Crossover
🎯 How to Use
⦿ Identify Market Leaders:
A stock with RS consistently above its MA is likely leading the market.
⦿ Spot Early Strength:
If RS makes a new high before the stock price, it may signal strong relative demand — often preceding breakouts.
⦿ Filter Weakness:
Stocks with RS below the MA are lagging and may be best avoided during bullish phases.
⦿ Combine with Price Action & Volume:
RS works best alongside price breakouts, trend analysis, and volume confirmations.
Sortable Relative Performance | viResearchSortable Relative Performance | viResearch
Conceptual Foundation and Purpose
The Sortable Relative Performance indicator from viResearch is designed as a multi-asset ranking and comparison system that allows traders to evaluate the relative strength of up to 14 different assets over a user-defined lookback period. Unlike single-symbol indicators, this tool provides a comparative view of performance, making it ideal for traders seeking to understand how assets perform relative to each other within a watchlist, sector, or market segment. The indicator calculates the percentage return of each asset from a chosen starting point and presents the results both graphically and in a sorted, tabular format, helping traders identify outperformers and underperformers at a glance.
Technical Composition and Methodology
At its core, the script calculates the relative performance of each selected asset by comparing its current closing price with the closing price from the lookback period. This performance metric is expressed as a percentage and computed using Pine Script’s request.security() function, allowing for seamless cross-asset analysis within a single pane. Each asset is visually represented as a vertical column, color-coded according to a predefined identity map that reflects common asset branding. The best-performing asset is dynamically labeled on the chart, displaying its name and current return, while a real-time performance table updates and ranks all active assets in descending order based on their return values. The table and columns automatically adjust based on the user’s selection, creating an interactive and responsive comparative dashboard.
Features and Configuration
The indicator includes a customizable date filter, allowing traders to activate the display from a specific start date. This is particularly useful for performance reviews tied to events, such as earnings reports, Fed meetings, or macroeconomic releases. The lookback period is adjustable and determines how far back in time performance is measured, making the tool adaptable to both short-term and long-term strategies. Traders can toggle individual assets on or off, enabling focused analysis on specific coins, stocks, or indices. Up to 14 assets can be analyzed simultaneously, with each one clearly distinguished by unique, branded colors in both the plot and the ranking table. The script intelligently highlights the top performer with a floating label, drawing immediate attention to the strongest asset within the group.
Strategic Use and Application
This indicator is especially valuable for traders employing relative strength or momentum-based strategies. By visualizing asset performance in real time, it becomes easier to rotate capital into strong assets and away from laggards. Whether tracking cryptocurrencies, sectors, or forex pairs, the ability to assess comparative returns without switching charts provides an operational edge. The tool supports portfolio analysis, sector rotation, and cross-market studies, making it suitable for discretionary traders, systematic investors, and even macro analysts looking for a visual breakdown of market behavior.
Conclusion and Practical Value
The Sortable Relative Performance indicator by viResearch delivers a clean and effective way to measure and rank asset performance over time. By combining visual clarity with real-time calculation and dynamic sorting, it offers a powerful lens through which traders can evaluate market leadership and laggard behavior. Its flexibility and modular design ensure it can be integrated into a wide range of strategies and trading styles. Whether you're managing a crypto portfolio or monitoring traditional markets, this tool provides essential insights into where momentum resides and how capital is flowing across assets.
Note: Backtests are based on past results and are not indicative of future performance.
DNSE VN301!, ADX Momentum StrategyDiscover the tailored Pine Script for trading VN30F1M Futures Contracts intraday.
This strategy applies the Statistical Method (IQR) to break down the components of the ADX, calculating the threshold of "normal" momentum fluctuations in price to identify potential breakouts for entry and exit signals. The script automatically closes all positions by 14:30 to avoid overnight holdings.
www.tradingview.com
Settings & Backtest Results:
- Chart: 30-minute timeframe
- Initial capital: VND 100 million
- Position size: 4 contracts per trade (includes trading fees, excludes tax)
- Backtest period: Sep-2021 to Sep-2025
- Return: over 270% (with 5 ticks slippage)
- Trades executed: 1,000+
- Win rate: ~40%
- Profit factor: 1.2
Default Script Settings:
Calculates the acceleration of changes in the +DI and -DI components of the ADX, using IQR to define "normal" momentum fluctuations (adjustable via Lookback period).
Calculates the difference between each bar’s Open and Close prices, using IQR to define "normal" gaps (adjustable via Lookback period).
Entry & Exit Conditions:
Entry Long: Change in +DI or -DI > Avg IQR Value AND Close Price > Previous Close
Exit Long: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI < Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price < Previous Close
Entry Short: Change in +DI or -DI > Avg IQR Value AND Close Price < Previous Close
Exit Short: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI > Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price > Previous Close
Disclaimers:
Trading futures contracts carries a high degree of risk, and price movements can be highly volatile. This script is intended as a reference tool only. It should be used by individuals who fully understand futures trading, have assessed their own risk tolerance, and are knowledgeable about the strategy’s logic.
All investment decisions are the sole responsibility of the user. DNSE bears no liability for any potential losses incurred from applying this strategy in real trading. Past performance does not guarantee future results. Please contact us directly if you have specific questions about this script.
Ark FCI OscillatorFinancial Conditions Index Oscillator
This indicator tracks week-over-week changes in the National Financial Conditions Index (NFCI), providing a dynamic view of evolving financial conditions in the United States.
Overview
The National Financial Conditions Index (NFCI) is a comprehensive weekly composite index published by the Federal Reserve Bank of Chicago. It measures financial conditions across U.S. money markets, debt and equity markets, and the traditional and shadow banking systems.
Interpretation
Positive values indicate improving financial conditions
Negative values signal deteriorating financial conditions
Risk assets demonstrate particular sensitivity to changes in financial conditions, making this oscillator valuable for market timing and risk assessment.
Alternative Data Source
Users can modify the source to FRED:NFCIRISK to focus specifically on risk dynamics. The NFCIRISK subindex isolates volatility and funding risk measures within the financial sector, capturing market volatility indicators and liquidity shortage probabilities while excluding broader credit and leverage conditions.
Shock Detector: Price Jerk with Std-Dev BandsDetect sudden shocks in market behaviour
This indicator measures the jerk of price – the third derivative of price with respect to time (rate of change of acceleration). It highlights sudden accelerations and decelerations in price movement that are often invisible with standard momentum or volatility indicators.
Per-bar or time-scaled derivatives (choose whether calculations are based on bars or actual seconds).
Features
Log-price option for more stable readings across different price levels.
Optional smoothing with EMA to reduce noise.
Line or column view for flexible visualization.
Standard deviation bands (±1σ and ±2σ), centered either on zero or the rolling mean.
Auto window selection (1 day to 4 weeks), adaptive to chart timeframe.
Color-coded jerk: green for positive, red for negative.
Optional filled bands for easy visual context of normal vs. extreme jerk moves.
How to Use
Use jerk to identify sudden shifts in market dynamics, where price movement is not just changing direction but changing its acceleration.
Bands help highlight when jerk values are statistically unusual compared to recent history.
Combine with trend or momentum indicators for potential early warning of breakouts, reversals, or exhaustion.
Why it’s useful
Most indicators measure price, velocity (returns), or acceleration (momentum). This goes one step further to look at jerk, giving you a tool to spot “shock” movements in the market. By framing jerk within standard deviation bands, it’s easy to see whether current moves are ordinary or exceptional.
Developed with the assistance of ChatGPT (OpenAI).
Overnight Gap Dominance Indicator (OGDI)The Overnight Gap Dominance Indicator (OGDI) measures the relative volatility of overnight price gaps versus intraday price movements for a given security, such as SPY or SPX. It uses a rolling standard deviation of absolute overnight percentage changes divided by the standard deviation of absolute intraday percentage changes over a customizable window. This helps traders identify periods where overnight gaps predominate, suggesting potential opportunities for strategies leveraging extended market moves.
Instructions
A
pply the indicator to your TradingView chart for the desired security (e.g., SPY or SPX).
Adjust the "Rolling Window" input to set the lookback period (default: 60 bars).
Modify the "1DTE Threshold" and "2DTE+ Threshold" inputs to tailor the levels at which you switch from 0DTE to 1DTE or multi-DTE strategies (default: 0.5 and 0.6).
Observe the OGDI line: values above the 1DTE threshold suggest favoring 1DTE strategies, while values above the 2DTE+ threshold indicate multi-DTE strategies may be more effective.
Use in conjunction with low VIX environments and uptrend legs for optimal results.
E³ ROC (slope): SMAsThis is a very powerful script for helping you understand the speed of moves. It measures the RATE OF CHANGE (ROC in %) of 5 key moving averages from the 10 to the 200. For example, a chart with a 200sma ROC of 0.3% usually corresponds to a faster moving asset (stock, crypto, etc) which likely also has a higher ATR and ADR%.
Additionally, the indicator shows you the maximum the slope has performed within the last 126 bars (6 months on a daily chart) (or period of your preference). This helps you understand what you could potentially expect from the asset.
For example, a 10sma which shows a max ROC of 1.5% on a chart with a 200sma max ROC of 0.3%, has therefore the potential for large bursts comparatively (5x the 200sma in this case) and helps you understand that the stock/asset has the potential for leaps and bounds.
For high-growth stock swing traders, a 200sma slope of 0.25% is a great minimum criteria, and having at least 5x for the max on the faster smas such as the 10 or 20 or even 50.
Interestingly, on a slow stock, such as NYSE:WMT (max 200sma = 0.18%), it can have runs of 0.78% as indicated by the max of the 10sma. This reading tells you that although it's a slower stock, it can act like a monster when it's got the heat.
Typically, a stock's ADR% is about 8x to 12x the max ROC of the 200sma (10x easy rule of thumb). So for traders who only like to trade high ADR% stocks, overlooking a stock like NYSE:WMT with a 1.5% ADR and a 200sma ROC of only 0.18% could be a mistake if you didn't notice that the 10sma and 20sma show MAX ROC runs of almost 0.8% (the equivalent of a 8% ADR& stock). So clearly in that situation, knowing all this would allow you to take a breakout or the likes on NYSE:WMT with the intention of capturing the High ROC shorter term run.
Bottom line: this insight is indispensable for short term swing traders, and this script likely has similarly profound use to day traders, FOREX traders, and crypto traders as well.
Being able to know the rate of change (slope) of price change on a stock across different speeds (MAs) allows you to better assess the potential for hidden or outright opportunity.
PURCHASE NOW:
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Multi Rate of Change (ROC) - 3 LinesMulti Rate of Change (ROC) - 3 Lines
This custom indicator displays three Rate of Change (ROC) lines, each with independently adjustable lookback periods (default: 7, 30, and 100 days). It allows you to quickly compare short-, mid-, and long-term price momentum on the same chart.
All ROC lines show the percent change of the close price compared to N bars ago.
The color, thickness, and style (solid, dotted, dashed) of each ROC line can be customized in the settings.
A zero reference line is included and can also be customized.
Suitable for momentum analysis and identifying trend acceleration or deceleration at multiple timeframes.
Designed for easy use: simply add the indicator to your chart and adjust the settings as needed.
How to use:
Add the indicator to your chart.
Set each ROC period (e.g., 7, 30, 100 days) as desired.
Adjust colors, line widths, and styles for better visibility.
Interpret positive ROC values as upward momentum, negative values as downward momentum.
No repainting. All calculations use close prices only.
If you need more ROC lines or additional features, let me know!
Velocity + Momentum (SMA-Based)Velocity + Momentum (SMA-Based) is a clean, powerful oscillator that measures price acceleration using SMA-derived velocity and dual momentum signals. This tool is ideal for identifying directional shifts, exhaustion points, and early entries across any market or timeframe.
How It Works:
This indicator calculates velocity as the distance between the current close and a simple moving average of the open price. Then, it applies two smoothed moving averages to this velocity line:
• Internal Momentum (shorter-term smoothing)
• External Momentum (longer-term context, hidden by default)
The result is a layered view of how fast price is moving and whether that move is gaining or losing strength.
How to Use:
• The green/red histogram shows current velocity (positive = bullish, negative = bearish)
• The teal/maroon line tracks internal momentum and provides short-term signal turns
• The black/gray (hidden) line reflects external momentum and supports broader trend alignment
• Watch for crosses above/below the zero line for confirmation of directional strength
• Use the built-in alerts to catch real-time shifts in all three layers of movement: velocity, internal, and external
Why It's Useful:
• Detects subtle transitions before price structure changes
• Helps filter out noise by comparing short-term vs long-term motion
• Ideal for scalpers, swing traders, and trend-followers alike
• Pairs well with structure-based tools or price action zones
• Works on any asset and timeframe
This indicator simplifies momentum analysis by giving you actionable, multi-layered feedback on how price is accelerating — and when that’s likely to reverse.
Multi-Period Performance TableHello friends,
I'm returning to the fascinating world of TradingView publications. Over time, I've accumulated many unpublished ideas — both open- and closed-source — that I now plan to share, alternating between the two. It felt like a shame to let so much valuable work remain unseen. The story isn't over yet — so today, we kick off a new series of invite-only scripts, starting with this indicator.
🛠️ How It Works
The script analyzes your selected number of years of price data, calculating returns for each month, quarter, and season
Advanced algorithms compute comprehensive statistics, including the mean, median, standard deviation, and extremes for each period
Data is presented in an intuitive table with optional heatmap coloring that makes patterns immediately stand out
Sorting of any column allows you to quickly identify the best and worst performing periods
🔥 Key Features
Pine Script V6 – leverages the latest version for better performance
Custom number of years to aggregate statistics
Complete breakdown for all 12 months (Jan-Dec)
Quarter (Q1, Q2, Q3, Q4) statistics
Season (Winter, Spring, Summer, Fall) statistics
Year/Year-to-Date (YTD) statistics
Enable/disable Right-side statistics for each row
Enable/disable Bottom statistics for each column
Heatmap mode with 10 palettes
Sortable columns
Customizable table
Optimized performance - efficient calculations for smooth operation
Universal compatibility – runs smoothly across all assets, timeframes, and market conditions — from euphoric peaks to capitulation lows
📸 Visual Examples
Monthly view
Quarterly view
Seasonal view
Clean table mode - without heatmaps
Default heatmap palette
June column sorted in descending order to quickly identify best/worst years
Turbo palette - high contrast
Spectral palette - professional look
Red/Yellow/Blue palette - classic style
My similar indicators that are also worth paying attention to
Still here? Unlock the full potential of multi-period market analysis — and take your trading to the next level today! 🚀
👋Good luck!
BK AK-Scope🔭 Introducing BK AK-Scope — Target Locked. Signal Acquired. 🔭
After building five precision weapons for traders, I’m proud to unveil the sixth.
BK AK-Scope — the eye of the arsenal.
This is not just an indicator. It’s an intelligence system for volatility, signal clarity, and rate-of-change dynamics — forged for elite vision in any market terrain.
🧠 Why “Scope”? And Why “AK”?
Every shooter knows: you can’t hit what you can’t see.
The Scope brings range, clarity, and target distinction. It filters motion from noise. Purpose from panic.
“AK” continues to honor the man who trained my sight — my mentor, A.K.
His discipline taught me to wait for alignment. To move with reason, not emotion.
His vision lives in every code line here.
🔬 What Is BK AK-Scope?
A Triple-Tier TSI Correlation Engine, fused with adaptive opacity logic, a volatility scoring system, and real-time signal clarity. It’s momentum dissected — by speed, depth, and rate of change.
Built to serve traders who:
Need visual hierarchy between fast, mid, and slow TSI responses.
Want adaptive fills that pulse with volatility — not static zones.
Require a volatility scoring overlay that reads the battlefield in real time.
⚙️ Core Systems: How BK AK-Scope Works
✅ Fast/Mid/Slow TSI →
Three layers of correlation: like scopes with zoom levels.
You track micro moves, mid swings, and macro flow simultaneously.
✅ Rate-of-Change Adaptive Opacity →
Momentum fills fade or flash based on speed — giving you movement density at a glance.
Bull vs. Bear zones adapt to strength. You feel the market’s pulse.
✅ Volatility Score Intelligence →
Custom algorithm measuring:
Range expansion
Rate-of-change differentials
ATR dynamics
Standard deviation pressure
All combined into a score from 0–100 with live icons:
🔥 = Extreme Heat (70+)
🧊 = Cold Zone (<30)
⚠️ = ROC Warning
• = Neutral drift
✅ Auto-Detect Volatility Modes →
Scalp = <15min
Swing = intraday/hourly
Macro = daily/weekly
Or override manually with total control.
🎯 How To Use BK AK-Scope
🔹 Trend Continuation → When all three TSI layers align in direction + volatility score climbs, ride with the trend.
🔹 Early Reversals → Opposing TSI + rapid opacity change + volatility shift = sniper reversal zone.
🔹 Consolidation Filter → Neutral fills + score < 30 = stay out, wait for signal surge.
🔹 Signal Confluence → Pair with:
• Gann fans or angles
• Fib time/price clusters
• Elliott Wave structure
• Harmonics or divergence
To isolate entry perfection.
🛡️ Why This Indicator Changes the Game
It's not just momentum. It’s TSI with depth hierarchy.
It’s not just color. It’s real-time strength visualization.
It’s not just volatility. It’s rate-weighted market intelligence.
This is market optics for the advanced trader — built for vision, clarity, and discipline.
🙏 Final Thoughts
🔹 In honor of A.K., my mentor. The man who taught me to see what others miss.
🔹 Inspired by the power of vision — because execution without clarity is chaos.
🔹 Powered by faith — because Gd alone gives sight beyond the visible.
“He gives sight to the blind and wisdom to the humble.” — Psalms 146
Every tool I build is a prayer in code — that it helps someone trade with clarity, integrity, and precision.
⚡ Zoom In. Focus Deep. Trade Clean.
BK AK-Scope — Lock on the target. See what others don’t.
🔫 Clarity is power. 🔫
Gd bless. 🙏
Trend Surge with Pullback FilterTrend Surge with Pullback Filter
Overview
Trend Surge with Pullback Filter is a price action-based strategy designed to enter strong trends not at the breakout, but at the first controlled pullback after a surge. It filters out noise by requiring momentum confirmation and low volatility conditions, aiming for better entry prices and reduced risk exposure.
How It Works
A strong upward trend is identified when the Rate of Change (ROC) exceeds a defined percentage (e.g., 2%).
Instead of jumping into the trend immediately, the strategy waits for a pullback: the price must drop at least 1% below its recent high (over the past 3 candles).
A low volatility environment is also required for entry — measured using ATR being below its 20-period average multiplied by a safety factor.
If all three conditions are met (trend + pullback + quiet volatility), the system enters a long position.
The trade is managed using a dynamic ATR-based stop-loss and a take-profit at 2x ATR.
An automatic exit occurs after 30 bars if neither SL nor TP is hit.
Key Features
- Momentum-triggered trend detection via ROC
- Smart pullback filter avoids overbought entries
- Volatility-based filter to eliminate noise and choppy conditions
- Dynamic risk-reward ratio with ATR-driven exit logic
- Time-limited exposure using bar-based exit
Parameter Explanation
ROC Length (10): Looks for short-term price surges
ROC Threshold (2.0%): Trend is considered valid if price increased more than 2%
Pullback Lookback (3): Checks last 3 candles for price retracement
Minimum Pullback % (1.0%): Entry only if price pulled back at least 1%
ATR Length (14): Measures current volatility
Low Volatility Multiplier (1.2): ATR must be below this multiple of its 20-period average
Risk-Reward (2.0): Target is set at 2x the stop-loss distance
Max Bars (30): Trade is closed automatically after 30 bars
Originality Statement
This strategy doesn’t enter at the trend start, unlike many momentum bots. Instead, it waits for the first market hesitation — a minor pullback under low volatility — before entering. This logic mimics how real traders often wait for a better entry after a breakout, avoiding emotional overbought buys. The combined use of ROC, dynamic pullback detection, and ATR-based environment filters makes it both practical and original for real-world trading.
Disclaimer
This strategy is intended for educational and research purposes. Backtest thoroughly and understand the logic before using with real capital.
ROC Convergence IndicatorROC Convergence indicator overlays the 2, 4, 6, 8, 10, 12 period ROC and then plots the mean absolute deviation of the all ROC's. The goal is to identify times when the ROC spread is the lowest. I made this for myself to identify points at which it may be wise to enter into a trend following or volatility breakout system. Inspired by Linda Raschke.
[Pandora's Chambers] Liquidity Zones F[attr_rep] V1The Liquidity Zones F V1 indicator merges visual liquidity‐zone analysis with a mathematical model that quantifies opposing market forces. It scans a historical lookback window to compute average volume (avgVol), aggregates cumulative buy/sell volumes, detects significant wicks, and renders main and dotted lines plus background fills to show pressure at each price level. After constructing these graphic elements, it scores each signal (up to 130 points) and converts it into a percentage (0–100%) mapped onto a five‑domain polar scale:
0–50: Negative dominance
50–60: Initial equilibrium
60–75: Positive momentum build‑up
75–80: Decay of positive effect
80–100: Positive overextension with reversal potential
1. How It Works
Lookback & avgVol:
– Computes a simple moving average of volume over lookback bars.
cumBuy / cumSell:
– Adds volume to cumBuy when bar close > open; to cumSell when close < open.
Wick Detection:
– Flags bars whose wick length exceeds body length; records creation price, wickFactor, and volume.
Line Creation:
– For each strong wick, draws a solid “main” line and a dotted “secondary” line, with placeholder labels.
Scoring & Chance%:
– On each new bar, computes volume delta since creation, applies weighted scoring (wickFactor, volume ratio, proximity, leverage, imbalance) up to 130 points.
– Converts score to chancePerc (0–100%).
Style & Label Updates:
– ≥76%: dashed line; 50–76%: solid or dotted by classification; <50%: dotted “F_attr.”
– Labels show “F_rep …” or “F_attr X%.”
Magnet Lines:
– Identifies lowest bullish‐main price and highest bearish‐main price, computes midPrice and relative fraction, then calculates targetPrice A/B.
– Draws dotted magnet lines and labels “liquidity force (+)/(–)” beside price chart.
Background Fill:
– Fills area between midPrice and bullishTarget in bullish color; between midPrice and bearishTarget in bearish color.
2. Settings & Inputs
Parameter Default Description
lookback 200 Number of bars to calculate average and cumulative volumes.
offsetDot 0.0002 Vertical spacing between dotted lines.
ratioLineLength 8 Length (in bars) of the magnet line.
ratioLineOffset 8 Horizontal offset (bars) for magnet placement.
ratioLineWidth 1 Width of magnet lines (1–10).
bullish_line_color #00BCD4 Color for bullish main and dotted lines.
bearish_line_color #BA68C8 Color for bearish main and dotted lines.
Advanced Tweaks:
Adjust the number of dotted “grade” lines per wick or modify the scoring thresholds for custom classification.
3. Interpretation & Polar Scale
The x value (chancePerc) is interpreted across five polar domains for concise force balance reading:
0 ≤ x < 50: Selling dominance – consider exit or avoidance.
50 ≤ x < 60: Early balance – await confirmation.
60 ≤ x < 75: Rising buy pressure.
75 ≤ x < 80: Slowing bullish momentum.
80 ≤ x ≤ 100: Overextended bullish – watch for potential reversal.
New Momentum H/LNew Momentum H/L shows when momentum, defined as the rate of price change over time, exceeds the highest or lowest values observed over a user-defined period. These events shows points where momentum reaches new extremes relative to that period, and the indicator plots a column to mark each occurrence.
Increase in momentum could indicate the start of a trend phase from a low volatile or balanced state. However in developed trends, extreme momentum could also mark potential climaxes which can lead to trend termination. This reflects the dual nature of the component.
This indicator is based on the MACD calculated as the difference between a 3-period and a 10-period simple moving average. New highs are indicated when this value exceeds all previous values within the lookback window; new lows when it drops below all previous values. The default lookback period is set to 40 bars, which corresponds with two months on a daily chart.
The indicator also computes a z-score of the MACD line over the past 100 bars. This standardization helps compare momentum across different periods and normalizes the values of current moves relative to recent history.
In practice, use the indicator to confirm presence of momentum at the start of a move from a balanced state (often following a volatility expansion), track how momentum develops inside of a trend structure and locate potential climactic events.
Momentum should in preference be interpreted from price movement. However, to measure and standardize provides structure and helps build more consistent models. This should be used in context of price structure and broader market conditions; as all other tools.
Money Flow Pulse💸 In markets where volatility is cheap and structure is noisy, what matters most isn’t just the move — it’s the effort behind it. Money Flow Pulse (MFP) offers a compact, color-coded readout of real-time conviction by scoring volume-weighted price action on a five-tier scale. It doesn’t try to predict reversals or validate trends. Instead, it reveals the quality of the move in progress: is it fading , driving , exhausting , or hollow ?
🎨 MFP draws from the traditional Money Flow Index (MFI), a volume-enhanced momentum oscillator, but transforms it into a modular “pressure readout” that fits seamlessly into any structural overlay. Rather than oscillating between extremes with little interpretive guidance, MFP discretizes the flow into clean, color-coded regimes ranging from strong inflow (+2) to strong outflow (–2). The result is a responsive diagnostic layer that complements, rather than competes with, tools like ATR and/or On-Balance Volume.
5️⃣ MFP uses a normalized MFI value smoothed over 13 periods and classified into a 5-tier readout of Volume-Driven Conviction :
🍆 Exhaustion Inflow — usually a top or blowoff; not strength, but overdrive (+2)
🥝 Active Inflow — supportive of trend continuation (+1)
🍋 Neutral — chop, coil, or fakeouts (0)
🍑 Selling Intent — weakening structure, possible fade setups (-1)
🍆 Exhaustion Outflow — often signals forced selling or accumulation traps (-2)
🎭 These tiers are not arbitrary. Each one is tuned to reflect real capital behavior across timeframes. For instance, while +1 may support continuation, +2 often precedes exhaustion — especially on the lower timeframes. Similarly, a –1 reading during a pullback suggests sell-side pressure is building, but a shift to –2 may mean capitulation is already underway. The difference between the two can define whether a move is tradable continuation or strategic exhaustion .
🌊 The MFI ROC (Rate of Change) feature can be toggled to become a volatility-aware pulse monitor beneath the derived MFI tier. Instead of scoring direction or structure, ROC reveals how fast conviction is changing — not just where it’s headed, but how hard it's accelerating or decaying. It measures the raw Δ between the current and previous MFI values, exposing bursts of energy, fading pressure, or transitional churn .
🎢 Visually, ROC appears as a low-opacity area fill, anchored to a shared lemon-yellow zero line. When the green swell rises, buying pressure is accelerating; when the red drops, flow is actively deteriorating. A subtle bump may signal early interest — while a steep wave hints at an emotional overreaction. The ROC value itself provides numeric insight alongside the raw MFI score. A reading of +3.50 implies strong upside momentum in the flow — often supporting trend ignition. A score of –6.00 suggests rapid deceleration or full exhaustion — often preceding reversals or failed breakouts.
・ MFI shows you where the flow is
・ ROC tells you how it’s behaving
😎 This blend reveals not just structure or intent — but also urgency . And in flow-based trading, urgency often precedes outcome.
🧩 Divergence isn’t delay — it’s disagreement . One of the most revealing features of MFP is how it exposes momentum dissonance — situations where price and flow part ways. These divergences often front-run pivots , traps , or velocity stalls . Unlike RSI-style divergence, which whispers of exhaustion, MFI divergence signals a breakdown in conviction. The structure may extend — but the effort isn’t there.
・ Price ▲ MFI ▼ → Effortless Markup : Often signals distribution or a grind into liquidity. Without rising MFI, the rally lacks true flow participation — a warning of fragility.
・ Price ▼ MFI ▲ → Absorption or Early Accumulation : Price breaks down, but money keeps flowing in — a hidden bid. Watch for MFI tier shifts or ROC bursts to confirm a reversal.
🏄♂️ These moments don’t require signal overlays or setup hunting. MFP narrates the imbalance. When price breaks structure but flow does not — or vice versa — you’re not seeing trend, you’re seeing disagreement, and that's where edge begins.
💤 MFP is especially effective on intraday charts where volume dislocations matter most. On the 1H or 15m chart, it helps distinguish between breakouts with conviction versus those lacking flow. On higher timeframes, its resolution softens — it becomes more of a drift indicator than a trigger device. That’s by design: MFP prioritizes pulse, not position. It’s not the fire, it’s the heat.
📎 Use MFP in confluence with structural overlays to validate price behavior. A ribbon expansion with rising MFP is real. A compression breakout without +1 flow is "fishy". Watch how MFP behaves near key zones like anchored VWAP, MAs or accumulation pivots. When MFP rises into a +2 and fails to sustain, the reversal isn’t just technical — it’s flow-based.
🪟 MFP doesn’t speak loudly, but it never whispers without reason. It’s the pulse check before action — the breath of the move before the breakout. While it stays visually minimal on the chart, the true power is in the often overlooked Data Window, where traders can read and interpret the score in real time. Once internalized, these values give structure-aware traders a framework for conviction, continuation, or caution.
🛜 MFP doesn’t chase momentum — it confirms conviction. And in markets defined by noise, that signal isn’t just helpful — it’s foundational.
Puts vs Longs vs Price Oscillator SwiftEdgeWhat is this Indicator?
The "Low-Latency Puts vs Longs vs Price Oscillator" is a custom technical indicator built for TradingView to help traders visualize buying and selling activity in a market without access to order book data. It displays three lines in an oscillator below the price chart:
Green Line (Longs): Represents the strength of buying activity (bullish pressure).
Red Line (Puts): Represents the strength of selling activity (bearish pressure).
Yellow Line (Price): Shows the asset’s price in a scaled format for direct comparison.
The indicator uses price movements, volume, and momentum to estimate when buyers or sellers are active, providing a quick snapshot of market dynamics. It’s optimized for fast response to price changes (low latency), making it useful for both short-term and longer-term trading strategies.
How Does it Work?
Since TradingView doesn’t provide direct access to order book data (which shows real-time buy and sell orders), this indicator approximates buying and selling pressure using commonly available data: price, volume, and a momentum measure called Rate of Change (ROC). Here’s how it combines these elements:
Price Movement: The indicator checks if the price is rising or falling compared to the previous candlestick. A rising price suggests buying (longs), while a falling price suggests selling (puts).
Volume: Volume acts as a "weight" to measure the strength of these price moves. Higher volume during a price increase boosts the green line, while higher volume during a price decrease boosts the red line. This mimics how large orders in an order book would influence the market.
Rate of Change (ROC): ROC measures how fast the price is changing over a set period (e.g., 5 candlesticks). It adds a momentum filter—strong upward momentum reinforces buying signals, while strong downward momentum reinforces selling signals.
These components are calculated for each candlestick and summed over a short lookback period (e.g., 5 candlesticks) to create the green and red lines. The yellow line is simply the asset’s closing price scaled down to fit the oscillator’s range, allowing you to compare buying/selling strength directly with price action.
Why Combine These Elements?
The combination of price, volume, and ROC is intentional and synergistic:
Price alone isn’t enough—it tells you what happened but not how strong the move was.
Volume adds context by showing the intensity behind price changes, much like how order book volume indicates real buying or selling interest.
ROC ensures the indicator captures momentum, filtering out weak or random price moves and focusing on significant trends, similar to how aggressive order execution might appear in an order book.
Together, they create a balanced picture of market activity that’s more reliable than any single factor alone. The goal is to simulate the insights you’d get from an order book—where you’d see buy/sell imbalances—using data available in TradingView.
How to Use It
Setup:
Add the indicator to your chart via TradingView’s Pine Editor by copying and pasting the script.
Adjust the inputs to suit your trading style:
Lookback Period: Number of candlesticks (default 5) to sum buying/selling activity. Shorter = more responsive; longer = smoother.
Price Scale Factor: Scales the yellow price line (default 0.001). Increase for high-priced assets (e.g., 0.01 for indices like DAX) or decrease for low-priced ones (e.g., 0.0001 for crypto).
ROC Period: Candlesticks for momentum calculation (default 5). Shorter = faster response.
ROC Weight: How much momentum affects the signal (default 0.5). Higher = stronger momentum influence.
Volume Threshold: Minimum volume multiplier (default 1.5) to boost signals during high activity.
Reading the Oscillator:
Green Line Above Yellow: Strong buying pressure—price is rising with volume and momentum support. Consider this a bullish signal.
Red Line Above Yellow: Strong selling pressure—price is falling with volume and momentum support. Consider this a bearish signal.
Green/Red Crossovers: When the green line crosses above the red, it suggests buyers are taking control. When the red crosses above the green, sellers may be dominating.
Yellow Line Context: Compare green/red lines to the yellow price line to see if buying/selling strength aligns with price trends.
Trading Examples:
Bullish Setup: Green line spikes above yellow after a price breakout with high volume (e.g., DAX opening jump). Enter a long position if confirmed by other indicators.
Bearish Setup: Red line rises above yellow during a price drop with increasing volume. Look for a short opportunity.
Reversal Warning: If the green line stays high while price (yellow) flattens or drops, it could signal overbought conditions—be cautious.
What Makes It Unique?
Unlike traditional oscillators like RSI or MACD, which focus solely on price momentum or trends, this indicator blends price, volume, and momentum into a three-line system that mimics order book dynamics. Its low-latency design (short lookback and no heavy smoothing) makes it react quickly to market shifts, ideal for volatile markets like DAX or forex. The visual separation of buying (green) and selling (red) against price (yellow) offers a clear, intuitive way to spot imbalances without needing complex data.
Tips and Customization
Volatile Markets: Use a shorter lookback (e.g., 3) and ROC period (e.g., 3) for faster signals.
Stable Markets: Increase lookback (e.g., 10) for smoother, less noisy lines.
Scaling: If the green/red lines dwarf the yellow, adjust Price Scale Factor up (e.g., 0.01) to balance them.
Experiment: Test on your asset (stocks, crypto, indices) and tweak inputs to match its behavior.
Arbitrage Spot-Futures Don++Strategy: Spot-Futures Arbitrage Don++
This strategy has been designed to detect and exploit arbitrage opportunities between the Spot and Futures markets of the same trading pair (e.g. BTC/USDT). The aim is to take advantage of price differences (spreads) between the two markets, while minimizing risk through dynamic position management.
[Operating principle
The strategy is based on calculating the spread between Spot and Futures prices. When this spread exceeds a certain threshold (positive or negative), reverse positions are opened simultaneously on both markets:
- i] Long Spot + Short Futures when the spread is positive.
- i] Short Spot + Long Futures when the spread is negative.
Positions are closed when the spread returns to a value close to zero or after a user-defined maximum duration.
[Strategy strengths
1. Adaptive thresholds :
- Entry/exit thresholds can be dynamic (based on moving averages and standard deviations) or fixed, offering greater flexibility to adapt to market conditions.
2. Robust data management :
- The script checks the validity of data before executing calculations, thus avoiding errors linked to missing or invalid data.
3. Risk limitation :
- A position size based on a percentage of available capital (default 10%) limits exposure.
- A time filter limits the maximum duration of positions to avoid losses due to persistent spreads.
4. Clear visualization :
- Charts include horizontal lines for entry/exit thresholds, as well as visual indicators for spread and Spot/Futures prices.
5. Alerts and logs :
- Alerts are triggered on entries and exits to inform the user in real time.
[Points for improvement or completion
Although this strategy is functional and robust, it still has a few limitations that could be addressed in future versions:
1. [Limited historical data :
- TradingView does not retrieve real-time data for multiple symbols simultaneously. This can limit the accuracy of calculations, especially under conditions of high volatility.
2. [Lack of liquidity management :
- The script does not take into account the volumes available on the order books. In conditions of low liquidity, it may be difficult to execute orders at the desired prices.
3. [Non-dynamic transaction costs :
- Transaction costs (exchange fees, slippage) are set manually. A dynamic integration of these costs via an external API would be more realistic.
4. User-dependency for symbols :
- Users must manually specify Spot and Futures symbols. Automatic symbol validation would be useful to avoid configuration errors.
5. Lack of advanced backtesting :
- Backtesting is based solely on historical data available on TradingView. An implementation with third-party data (via an API) would enable the strategy to be tested under more realistic conditions.
6. [Parameter optimization :
- Certain parameters (such as analysis period or spread thresholds) could be optimized for each specific trading pair.
[How can I contribute?
If you'd like to help improve this strategy, here are a few ideas:
1. Add additional filters:
- For example, a filter based on volume or volatility to avoid false signals.
2. Integrate dynamic costs:
- Use an external API to retrieve actual costs and adjust thresholds accordingly.
3. Improve position management:
- Implement hedging or scalping mechanisms to maximize profits.
4. Test on other pairs:
- Evaluate the strategy's performance on other assets (ETH, SOL, etc.) and adjust parameters accordingly.
5. Publish backtesting results :
- Share detailed analyses of the strategy's performance under different market conditions.
[Conclusion
This Spot-Futures arbitrage strategy is a powerful tool for exploiting price differentials between markets. Although it is already functional, it can still be improved to meet more complex trading scenarios. Feel free to test, modify and share your ideas to make this strategy even more effective!
[Thank you for contributing to this open-source community!
If you have any questions or suggestions, please feel free to comment or contact me directly.
Ghosty's MACD ROCThis indicator takes the classic MACD (Moving Average Convergence Divergence) and gives it a fresh twist to help you spot trading opportunities faster and smoother. It uses a single MACD—set to a medium speed (24, 52, 18)—and focuses on how quickly the MACD is moving up or down, rather than waiting for it to cross its signal line.
Here’s how it works:
The purple line (MACD) and yellow line (signal) show you the trend’s strength, squished into a simple -1 to 1 range so they’re easy to read. When they merge and flatten, a change is brewing.
The blue line above (Rate of Change, or ROC) tracks the MACD’s speed. It’s smoothed out to cut through market noise, so you’re not distracted by tiny wiggles.
Green crosses pop up on the MACD line when its speed turns positive—think of it as a “go” signal for buying. Red crosses appear when the speed turns negative—a “stop” or sell signal.
It’s designed to catch moves early, before the trend fully kicks in, while keeping false signals in check. Perfect for traders who want a clear, no-fuss way to time their entries and exits. You can tweak the settings—like the MACD lengths or smoothing—to match your style or market.
enjoy -
👻
ROC + SMI Auto Adjust
This indicator combines the Rate of Change (ROC) and the Stochastic Momentum Index (SMI) with automatically adjusted parameters for different time frames (short, medium, long). It normalizes the ROC to match the SMI levels, displays the ROC as a histogram and the SMI as lines, highlights overbought/oversold zones and includes a settings table. Ideal for analyzing momentum on different time frames.
Key Features:
Automatic Parameter Adjustment:
The script detects the current chart time frame (e.g. 1-minute, 1-hour, daily) and adjusts the parameters for the ROC and SMI accordingly.
Parameters such as ROC length, SMI length and smoothing periods are optimized for short, medium and long term time frames.
Rate of Change (ROC):
ROC measures the percentage change in price over a specified period.
The script normalizes the ROC values to match the SMI range, making it easier to compare the two indicators on the same scale.
The ROC is displayed as a histogram, where positive values are colored green and negative values are colored red.
Stochastic Momentum Index (SMI):
SMI is a momentum oscillator that identifies overbought and oversold conditions.
The script calculates the SMI and its signal line, plotting them on the chart.
Overbought and oversold levels are displayed as dotted lines for convenience.
SMI and SMI Signal Crossover:
When the main SMI crosses the signal line from below upwards, it may be a buy signal (bullish signal).
When the SMI crosses the signal line from above downwards, it may be a sell signal (bearish signal).
Configurable Inputs:
Users can use the automatically adjusted settings or manually override the parameters (e.g. ROC length, SMI length, smoothing periods).
Overbought and oversold levels for SMI are also configurable.
Parameter Table:
A table is displayed on the chart showing the current parameters (e.g. timeframe, ROC length, SMI length) for transparency and debugging.
The position of the table is configurable (e.g. top left, bottom right).
How it works:
The script first detects the chart timeframe and classifies it as short-term (e.g. 1M, 5M), medium-term (e.g. 1H, 4H) or long-term (e.g. D1, W1).
Based on the timeframe, it sets default values for the ROC and SMI parameters.
ROC and SMI are calculated and normalized so that they can be compared on the same scale.
ROC is displayed as a histogram, while SMI and its signal line are displayed as lines.
Overbought and oversold levels are displayed as horizontal lines.
Use cases:
Trend identification: ROC helps to identify the strength of the trend, while SMI indicates overbought/oversold conditions.
Momentum analysis: The combination of ROC and SMI provides insight into both price momentum and potential reversals.
Time frame flexibility: The auto-adjustment feature makes the script suitable for scalping (short-term), swing trading (medium-term) and long-term investing.
