Math by Thomas SMC Swing Range + Premium/Discount ZonesDescription:
"Math by Thomas – SMC Swing Range + Premium/Discount Zones" is a Smart Money Concepts (SMC) based indicator designed to help traders visually understand market structure and value zones.
This tool automatically detects and marks:
🔺 Recent Swing Highs and Lows
🟧 Midpoint Line between swing high and low
🟥🟩 Premium/Discount Zones for value-based entries
🔤 HH, HL, LH, LL Labels to identify trend structure
🔁 BoS (Break of Structure) and CHoCH (Change of Character) confirmations
Built with Pine Script v6, this indicator is optimized for both intraday and positional traders who rely on structure-based decision-making.
🛠️ How to Use:
Apply to any chart – Works on all timeframes and instruments.
Swing High/Low Detection:
Uses pivot logic with adjustable strength to find recent key turning points.
Displays shaded horizontal boxes for visual clarity.
Midpoint Line:
Automatically drawn between the last high and low.
Acts as the fair value level for identifying overbought/oversold zones.
Premium/Discount Zones:
Above midpoint = Premium (consider shorting).
Below midpoint = Discount (consider buying).
Structure Labels:
HH (Higher High), HL (Higher Low), LH (Lower High), LL (Lower Low).
Color-coded to reflect bullish or bearish trends.
BoS & CHoCH:
Structural breaks are labeled automatically to signal possible trend continuation or reversal.
⚙️ Settings:
🎯 Pivot Strength – Adjusts how far back/forward candles must confirm a swing.
✅ Toggle visibility of:
Swing Lines
Labels
BoS / CHoCH
Premium / Discount zones
🎨 Customize colors for each visual component.
🧠 Best Practices:
Use in combination with Order Blocks, Fair Value Gaps, or Volume Imbalances.
Ideal for traders applying Smart Money Concepts (SMC) with a structure-first mindset.
Educational
Quantum RSI (TechnoBlooms)The Next Evolution of Momentum Analysis
📘 Overview
Quantum RSI is an advanced momentum oscillator based on Quantum Price Theory, designed as a superior alternative to the traditional RSI. It incorporates a Gaussian decay function to weigh price changes, creating a more responsive and intuitive measure of trend strength.
This indicator excels in identifying micro-trends and subtle momentum shifts — especially in narrow or low-volatility environments where standard RSI typically lags or gives false signals. With its enhanced smoothing, intuitive color gradients, and customizable moving average, Quantum RSI offers a powerful tool for traders seeking clarity and precision.
🔍 Key Features
• ⚛️ Quantum Momentum Engine: Measures net momentum using quantum-inspired Gaussian decay weighting.
• 🎨 Color-Reversed Gradient Zones:
o Green (Overbought): Shows momentum strength, not weakness.
o Red (Oversold): Highlights momentum exhaustion and potential bounce.
• 🧠 Smoothing with MA: Option to apply moving average (SMA/EMA/WMA/SMMA/VWMA) to the Quantum RSI line.
• 📊 Levels at 30 / 50 / 70: Standard RSI levels for decision-making guidance.
• 📈 Intuitive Visuals: Gradient fills for cleaner interpretation of zones and transitions.
👤 Who Is It For?
• Technical traders seeking a modern alternative to RSI.
• Quantitative analysts who value precision and smooth signal flow.
• Visual traders looking for intuitive, color-coded trend zones.
• Traders focused on market microstructure and early trend detection.
💡 Pro Tips
• Pair with order blocks, market structure tools, or Fibonacci confluences for high-probability entries.
• Use on assets with frequent compression or consolidation, where traditional RSI often misleads.
• Combine with volume-based indicators or smart money concepts for added confirmation.
• Ideal for sideways markets, false breakouts, or low-volatility zones where typical RSI lags.
SmartPhase Analyzer📝 SmartPhase Analyzer – Composite Market Regime Classifier
SmartPhase Analyzer is an adaptive regime classification tool that scores market conditions using a customizable set of statistical indicators. It blends multiple normalized metrics into a composite score, which is dynamically evaluated against rolling statistical thresholds to determine the current market regime.
✅ Features:
Composite score calculated from 13+ toggleable statistical indicators:
Sharpe, Sortino, Omega, Alpha, Beta, CV, R², Entropy, Drawdown, Z-Score, PLF, SRI, and Momentum Rank
Uses dynamic thresholds (mean ± std deviation) to classify regime states:
🟢 BULL – Strongly bullish
🟩 ACCUM – Mildly bullish
⚪ NEUTRAL – Sideways
🟧 DISTRIB – Mildly bearish
🔴 BEAR – Strongly bearish
Color-coded histogram for composite score clarity
Real-time regime label plotted on chart
Benchmark-aware metrics (Alpha, Beta, etc.)
Modular design using the StatMetrics library by RWCS_LTD
🧠 How to Use:
Enable/disable metrics in the settings panel to customize your composite model
Use the composite histogram and regime background for discretionary or systematic analysis
⚠️ Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Always consult your financial advisor before making investment decisions.
Accurate 1-Min Trend System [Dr.K.C.Prakash]Accurate 1-Min Trend System — Indicator Overview
This 1-minute trend-following system is designed to identify high-probability intraday entries using a combination of EMA-based trend direction, swing structure, and price action strength. It is optimized for option buying or scalping entries in strong directional moves.
🧠 Core Logic:
1. Trend Filter (Context Check)
Uses 50 EMA (fast) and 200 EMA (slow) to determine the market trend.
Only takes buy entries in uptrends and sell entries in downtrends.
Additional filters ensure both EMAs are rising or falling, avoiding sideways noise.
2. Swing Structure Confirmation
Uses swing high/low over a lookback period to ensure price is breaking structure favorably.
Buy: Price closes above previous swing low in an uptrend.
Sell: Price closes below previous swing high in a downtrend.
3. Candle Strength Filter
Ensures only strong bullish or bearish candles (large body relative to ATR) are used for entries.
Filters out weak or indecisive candles, increasing precision.
4. Entry Gapping
Avoids overtrading by restricting entries within a set number of bars (gapBars) since the last trade.
Prevents back-to-back signals during chop or fakeouts.
📊 Visual Components:
🔶 Orange Line: 50 EMA (short-term trend)
🟦 Teal Line: 200 EMA (long-term trend)
🟢 BUY Label: Signals a strong bullish entry
🔴 SELL Label: Signals a strong bearish entry
✅ Best Use Cases:
1-minute scalping in index options (e.g., NIFTY/BankNIFTY)
Filtering trades only in strong directional bias
Combining with manual support/resistance or higher-timeframe SMC zones
previous day H/L 15 min backtesterworks on 15 min and 5 min charts.
This indicator visualizes critical daily price levels to support intraday and swing trading decisions. Specifically, it calculates and displays the Previous Day High (PDH), Previous Day Low (PDL), and the midpoint (PDM) — the average of the high and low — based on price data from the prior trading day.
Each level line is anchored to start precisely at 6 PM New York time, marking the start of the trading day for many major markets. The lines then extend forward for a fixed duration, ensuring these key support and resistance zones remain visible well into the current trading session, giving traders a persistent frame of reference.
This persistent extension helps traders monitor price interaction with important levels throughout the day without cluttering the chart with obsolete lines. Labels indicating PDH, PDL, and PDM are displayed clearly on the left or right side of the chart, customizable to user preference.
By using this indicator, traders can better gauge potential reversal points, breakout zones, and price consolidation areas grounded on significant daily market structure, improving timing and risk management in their trading strategies.
Zigzag Simple [SCL]🟩 OVERVIEW
Draws zigzag lines from pivot Highs to pivot Lows. You can choose between three different ways of calculating pivots:
• True Highs and Lows
• Williams pivots
• Oscillator pivots
🟩 HOW TO USE
This indicator can be used to understand market structure, which is arguably the primary thing you need to be aware of when trading. The zigzag by itself does not display a market structure bias, nor any information about prices of pivots, HH and HL labels, or anything like that. Nevertheless, a simple zigzag is perhaps the easiest and most intuitive way to understand what price is doing.
Choose a pivot style that you like, customise the colours and line style, and enjoy!
🟩 PIVOT TYPES EXPLAINED
True Highs and Lows
This is not an invention of mine (all credit to my humble mentor), but I haven't seen anyone else code them up. A true High is a close below the low of the candle with the highest high. A true Low is a close above the high of a candle with the lowest low. These are solid, price action-based pivots that can sometimes confirm quickly.
Williams pivots
This is how most people calculate pivots. They're simply the highest high for x bars back and x bars forwards. They're the vanilla of pivots IMO: serviceable but not very interesting. They're very convenient to code because there are built-in Pine functions for them: ta.pivothigh and ta.pivotlow . They confirm a predictable number of bars after they happen, which is great for coding but also makes the trader wait for confirmation.
Oscillator pivots
This is a completely different concept, which uses momentum in order to define pivots. For example, when you get a rise in momentum and momentum then drops a configurable amount, it confirms a pivot high, and vice versa for a pivot low. I don't know if anyone else does it –- although some indicators do mark pivots in momentum itself, and plenty do divergences, I wasn't able to find one that specifically marked *pivots in price* because of pivots in momentum 🤷♂️
Anyway, while this approach needs a whole investigation on its own, here we simply plot some pivots in a smoothed RSI. This indicator doesn't plot the actual momentum values -- for a more visual understanding of how this works, refer to the examples in the OscillatorPivots library.
🟩 UNIQUE ADVANTAGES
In contrast to other zigzag indicators available, this one lets you choose between the standard and some more unique methods of generating the zigzags. Additionally, because it's based on libraries, it is relatively easy for programmers to use as a basis for experimentation.
🟩 GEEK STUFF
Although there is considerable practical use for pivot-based zigzags in trading, this script is primarily a demonstration in coding -- specifically the power of libraries!
Most of the script consists of setup, especially defining inputs. The final section sacrifices some readability for conciseness, simply to emphasise how little code you need when the heavy lifting is done by libraries .
The actual calculations and drawing are achieved in just 8 lines.
The equivalent code in the libraries is ~250 lines long.
All libraries used are my own, public and open-source:
• MarketStructure
• DrawZigZag
• OscillatorPivots
Dogshit RSIThis is a "pretty good oscillator" on top of a basic RSI.
It's basically a dogshit indicator, and was created for educational purposes.
ADR by Saurabh MaggoADR levels for intraday
This Pine Script v5 indicator plots Average Daily Range (ADR) levels on a 5-minute NSE chart, ideal for intraday traders. It marks key price levels (L3+, L3-, L2+, L2-, L1+, L1-) at 9:15 AM IST each day, based on the daily open and a customizable ATR period.
Features:
Configurable Levels: Adjust ATR period (default 5) and multipliers (L3=0.5, L2=0.25, L1=0.125) to set price targets.
Today Only Option: Toggle Show Recent to display only the current day’s levels or all historical levels.
Visual Customization: Choose vibrant colors for each level via settings, with a glow effect
(toggleable, transparency=20) and adjustable circle size (default 2, range 1–5) for enhanced visibility, optimized for dark chart backgrounds.
Clean Design: Single-point plotting at 9:15 AM IST ensures a clutter-free chart, with dynamic points that move with the chart.
Usage: Perfect for NSE intraday trading, this indicator helps identify high-probability price targets. Customize levels, colors, and visuals to suit your strategy.
Pionex Signal Bot (Single/Multi Position)Guide: Integrating Your TradingView Strategy with a Signal Bot
This guide provides step-by-step instructions for connecting a TradingView strategy script with a compatible signal bot platform for automated execution, such as Pionex.
This script is based on DCA strategy execution, with the capability of customizable signal indicators by modifying the script section for modularity with minimal adjustments to adapt other source code. The default indicator is the moving average.
You will need an account on a compatible bot execution platform to execute the trades.
You will need a TradingView account with at least an Essential subscription for Alert and Webhook URL access.
A desktop browser is required to access the TradingView Pinescript Editor and the Signal bot configuration page on the execution platform.
1. Configuring the “Signal” on the Bot Execution Platform
Log in to your bot execution platform account (e.g., Pionex).
Navigate to the Futures → Futures Bot → Signal Bot section.
Click on the “Add signal” button and set the name and description for this signal, then click “Confirm.”
Once the signal has been created, directly click on the “I have completed the configuration” and “I have created the alert” buttons on the bot platform.
Signal setup on the bot execution platform has been completed.
2. Add a Strategy Script to the TradingView Chart
Log in to your TradingView account.
Choose the desired trading pair on your integrated exchange, and click the “ Launch chart “ button.
Click “Indicators”, select the Signal bot script you want to use.
Click the “Gear” icon to open the strategy settings, on the “Input” tab, copy the “Message” provided by your bot execution platform into the “Pionex Message” (or equivalent) textbox within the script's inputs.
On the “Properties” settings, refer to the recommended settings as follows:
• Initial capital: Keep this value at "100".
• Base currency: Keep this value at “Default”.
• Order size: 1 ~ 100 USDT. Keep the value within 1 to 100 USDT. 50 USDT may be translated as 50% fund utilization on the execution platform, such as Pionex .
• Pyramiding: 1 ~ any value. This value is for multi-position entry settings.
• Margin for long positions: Keep this value at "0".
• Margin for short positions: Keep this value at "0".
• Other parameters can be ignored as they do not impact the core configuration.
Strategy configuration in the TradingView chart has been completed.
3. Configuring the Strategy Alert on TradingView for Bot Connection
Log in to your TradingView account.
Click on the “Alarm” icon in the upper right corner, and click the “+” icon to create a new alert.
In the “Settings” tab, choose the desired strategy from the list.
Note: The latest configuration will typically be at the bottom of the list and may need to be updated every time there are changes to the strategy “Input” configuration.
In the “Message” tab, keep the value unchanged as the default content.
Note: This variable will produce the necessary JSON code for the trading instruction.
In the “Notification” tab, enable the “Webhook URL” and paste the Webhook URL obtained from your bot execution platform into the “Webhook URL” field in TradingView.
Click the “Create” button to complete the setup, and the alert will appear in the “Alert” list.
Strategy Alert configuration in the TradingView chart has been completed.
4. Creating the Signal Bot on the Execution Platform with the Linked Strategy
Log in to your bot execution platform account (e.g., Pionex).
Navigate to Futures → Futures Bot → Signal Bot.
On the “Signal Bot” page, click the “Automate signal” button to configure the bot settings, and then click the “Create the bot.”
The Signal bot creation on the execution platform has been completed.
5. Checking Signal Transmission Between TradingView and Bot Platform
Log in to your TradingView account.
Click on the “Alarm” icon in the upper right corner, and click the “Log” tab to check the alert history.
Log in to your bot execution platform account (e.g., Pionex).
Click on “Details” for your bot and then navigate to the “Signal Log” tab.
Compare the TradingView Alert log with the bot execution platform's Signal Log to ensure the signals are received properly.
To understand the raw Message content, manual interpretation or platform-specific tools may be required.
6. How to Add Other Indicator into the Strategy Script for the Signal Bot
Log in to your TradingView account.
Obtain the open-source indicator, such as “RSI”, into the TradingView chart, and copy its Pine Script™ source code.
Open the Signal bot strategy script in the Pine Script™ Editor. This script is typically optimized for integration with the bot execution platform.
Paste the custom indicator source code into the specific designated section for custom indicators within the Signal bot strategy script.
Define the conditions for “Long” (buy) and “Short” (sell) entries from your custom indicator into the pre-defined “longCondition” and “shortCondition” variables within the script.
Click the “Add to chart” or “Update on chart” button to complete the script configuration and apply changes to your chart.
Integrating a custom indicator into the strategy script has been completed.
Relative Strength vs VNINDEX (63d & 5d) – by [Linh]Relative Strength vs VNINDEX 3 months and 1 week
This indicator / pine screener compare/scan stocks outperform the VNINDEX for the last 3 months and the last 1 week.
Sesiones de Bolsas MundialesIt shows the opening and closing times of stock markets around the world (Tokyo, Hong Kong, Singapore, Shanghai, Frankfurt, London, NYSE and NASDAQ).
Presenta la apertura y cierre de bolsas en el mundo
📊 Asset Quality BoardThe Asset Quality Board ranks up to 10 selected assets based on their risk-adjusted performance over time.
It evaluates each asset relative to a benchmark using the following factors:
✅ Alpha (annualized) – excess return vs. benchmark
✅ Information Ratio – consistency of outperformance
✅ Max Drawdown – historical downside risk
These components are normalized and combined into a composite quality score, updated on each bar. The table highlights:
📈 The highest-quality assets (ranked by score)
⚠️ Statistically strong or weak performers (via dynamic thresholds)
🎯 Optional plots for historical scoring trends
This tool is designed for portfolio monitoring, asset selection, or as a signal component in rotational strategies.
💡 How to Use
Select up to 10 assets and a benchmark (e.g. BTCUSDT)
Monitor the ranked table to identify top candidates
Use the dynamic score thresholds (mean ± 1σ) to spot extremes
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Please consult a financial advisor for personalized advice.
Technical Strength Index (TSI)📘 TSI with Dynamic Bands – Technical Strength Index
The TSI with Dynamic Bands is a multi-factor indicator designed to measure the statistical strength and structure of a trend. It combines several quantitative metrics into a single, normalized score between 0 and 1, allowing traders to assess the technical quality of market moves and detect overbought/oversold conditions with adaptive precision.
🧠 Core Components
This indicator draws from the StatMetrics library, blending:
📈 Trend Persistence: via the Hurst exponent, indicating whether price action is mean-reverting or trending.
📉 Risk-Adjusted Volatility: via the inverted , rewarding smoother, less erratic price movement.
🚀 Momentum Strength: using a combination of directional momentum and Z-score–normalized returns.
These components are normalized and averaged into the TSI line.
🎯 Features
TSI Line: Composite score of trend quality (0 = weak/noise, 1 = strong/structured).
Dynamic Bands: Mean ± 1 standard deviation envelopes provide adaptive context.
Overbought/Oversold Detection: Based on a rolling quantile (e.g. 90th/10th percentile of TSI history).
Signal Strength Bar (optional): Measures how statistically extreme the current TSI value is, helping validate confidence in trade setups.
Dynamic Color Cues: Background and bar gradients help visually identify statistically significant zones.
📈 How to Use
Look for overbought (red background) or oversold (green background) conditions as potential reversal zones.
Confirm trend strength with the optional signal strength bar — stronger values suggest higher signal confidence.
Use the TSI line and context bands to filter out noisy ranges and focus on structured price moves.
⚙️ Inputs
Lookback Period: Controls the smoothing and window size for statistical calculations.
Overbought/Oversold Quantiles: Adjust the thresholds for signal zones.
Plot Signal Strength: Enable or disable the signal confidence bar.
Overlay Signal Strength: Show signal strength in the same panel (compact) or not (cleaner TSI-only view).
🛠 Example Use Cases
Mean reversion traders identifying reversal zones with statistical backing
Momentum/Trend traders confirming structure before entries
Quantitative dashboards or multi-asset screening tools
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
This AI is not a financial advisor; please consult your financial advisor for personalized advice.
Failed 2 Candle Detector (Highlight)This indicator detects failed 2-bar candles, defined by a close above or below the 50% midpoint of the previous candle.
ADR Pivot LevelsThe ADR (Average Daily Range) indicator shows the average range of price movement over a trading day. The ADR is used to estimate volatility and to determine target levels. It helps to set Take-Profit and Stop-Loss orders. It is suitable for intraday trading on lower time frames.
The “ADR Pivot Levels” produces a sequence of horizontal line levels above and below the Center Line (reference level). They are sized based on the instrument's volatility, representing the average historical price movement on a selected higher timeframe using the average daily range (ADR) indicator.
Dual SMA Crossover StrategyDual SMA Crossover Strategy with Advanced Risk Management
This Pine Script strategy utilizes a Dual Simple Moving Average (SMA) Crossover system for identifying trend changes, enhanced with comprehensive money and risk management features.
Strategy Logic
The core of the strategy is based on the interaction of two SMAs: a Fast SMA (default 24 periods) and a Slow SMA (default 48 periods).
Long Entry: Triggered when the Fast SMA crosses above the Slow SMA.
Short Entry: Triggered when the Fast SMA crosses below the Slow SMA.
Exit: Positions are closed when an opposite crossover signal occurs.
All trading decisions are made on the close of the candle to prevent any look-ahead bias, ensuring realistic backtest results.
Key Risk Management Features
Money Management:
Risk Per Trade (%): Defines the maximum percentage of account equity to risk on any single trade (default 2.0%). Position sizing is automatically calculated to ensure this risk limit is not exceeded when the Stop Loss is hit.
Stop Loss (SL):
A fixed Stop Loss (%) (default 0.8%) from the entry price is set immediately upon trade entry to limit potential losses.
Take Profit (TP):
A Risk-Reward Ratio (default 2.0) is used to calculate the Take Profit target. For instance, a 2.0 RRR with a 0.8% SL means a 1.6% TP target.
Advanced Trailing Stop Loss (TSL):
Trailing Stop Start (%): The TSL only activates once the trade reaches a predefined profit percentage (default 1.0%).
Trailing Stop Trail (%): Once activated, the TSL moves to lock in profits by trailing the highest (for long) or lowest (for short) price by a specified percentage (default 0.5%). This ensures that the TSL level never falls below the initial Stop Loss, providing continuous risk protection while allowing for further profit accumulation.
This strategy provides a robust framework for trend-following with built-in risk controls, aiming to protect capital and manage potential gains effectively.
Devrat Kumar EMA 9 / 50 / 100//@version=5
indicator("Devrat Kumar EMA 9 / 50 / 100", overlay=true)
// === EMAs ===
ema9 = ta.ema(close, 9)
ema50 = ta.ema(close, 50)
ema100 = ta.ema(close, 100)
// === Plot EMAs ===
plot(ema9, color=color.white, linewidth=1, title="EMA 9")
plot(ema50, color=color.orange, linewidth=1, title="EMA 50")
plot(ema100, color=color.aqua, linewidth=1, title="EMA 100")
Synthetic CHF Index (24/5) - CustomizableThis script creates a synthetic index to visualize the overall strength or weakness of the Swiss Franc (CHF) by aggregating 7 major CHF pairs:
CHFEUR, CHFGBP, CHFUSD, CHFCAD, CHFAUD, CHFNZD, CHFJPY
The index uses the logarithmic product of these pairs to generate OHLC values, providing a normalized and proportional view of CHF performance across the forex market. Optional Heikin Ashi candles help smooth price action, and a custom timeframe input allows flexible multi-timeframe analysis.
Use this tool to:
Gauge CHF strength/weakness across the board
Add directional bias to CHF-related trades
Spot divergence or confluence with other assets or indexes
Ideal for traders who want a clean and data-driven way to assess currency strength without relying on traditional indicators.
Synthetic GBP Index (24/5) - CustomizableSynthetic GBP Index (24/5) – Customizable
This script creates a synthetic index to measure the overall strength or weakness of the British Pound (GBP) by aggregating 7 major GBP pairs:
GBPEUR, GBPCHF, GBPUSD, GBPCAD, GBPAUD, GBPNZD, GBPJPY
The index is calculated using the logarithmic product of these pairs, giving a single, tradable view of GBP movement across the forex market. You can toggle Heikin Ashi candles for smoother trend visualization and set a custom timeframe independent of your chart.
Ideal for confluence, directional bias, and strength analysis across multiple timeframes.
RSI Buy Sell Signals+ with MFI Cloud [RanaAlgo]Indicator Overview
This indicator combines RSI (Relative Strength Index) with MFI (Money Flow Index) to generate trading signals with additional confirmation filters. The key features include:
RSI Analysis (14-period) with overbought/oversold levels
MFI Cloud (20-period default) showing trend direction via EMAs
Enhanced Signal Generation with volume and trend confirmation options
Visual Elements including colored zones, signal labels, and an information panel
How to Use This Indicator
Basic Interpretation:
Buy Signals (green labels) appear when:
RSI crosses above oversold level (30) OR
RSI shows a rising pattern from oversold zone with volume/trend confirmation (if enabled)
Sell Signals (red labels) appear when:
RSI crosses below overbought level (70) OR
RSI shows a falling pattern from overbought zone with volume/trend confirmation (if enabled)
MFI Cloud provides trend confirmation:
Green cloud = bullish trend (fast EMA > slow EMA)
Red cloud = bearish trend (fast EMA < slow EMA)
Recommended Usage:
For Conservative Trading:
Enable both volume and trend confirmation
Require MFI cloud to align with signal direction
Wait for RSI to clearly exit overbought/oversold zones
For Active Trading:
Combine with price action at key support/resistance levels
Watch for divergence between price and RSI
The Information Panel (top-right) shows:
Current RSI value and status
MFI trend direction
Last generated signal
Current momentum
Customization Options:
Adjust RSI/MFI lengths for sensitivity
Modify overbought/oversold levels
Toggle volume/trend confirmation requirements
Adjust visual elements like cloud opacity and zone visibility
IU Liquidity Flow TrackerDESCRIPTION
The IU Liquidity Flow Tracker is a powerful market analysis tool designed to visualize hidden buying and selling activity by analyzing price action, volume behavior, market pressure, and depth. It provides a composite view of liquidity dynamics to help traders identify accumulation, distribution, and neutral phases with high clarity.
This indicator is ideal for traders who want to gauge the flow of market participants and make informed entry/exit decisions based on the underlying liquidity structure.
USER INPUTS:
* Flow Analysis Period: Length used for analyzing price spread and volume flow.
* Pressure Sensitivity: Adjusts the sensitivity of threshold detection for flow classification.
* Flow Smoothing: Controls the smoothing applied to raw flow data.
* Market Depth Analysis: Sets the depth range for rejection and wick analysis.
* Colors: Customize colors for accumulation, distribution, neutral zones, and pressure visualization.
INDICATOR LOGIC:
The IU Liquidity Flow Tracker uses a multi-factor model to evaluate market behavior:
1. Liquidity Pressure: Combines price spread, price efficiency, and volume imbalance.
2. Flow Direction: Weighted momentum using short, medium, and long-term price changes adjusted for volume.
3. Market Depth: Wick-based rejection scoring to estimate buying/selling aggressiveness at price extremes.
4. Composite Flow Index: Blended value of flow direction, pressure, and depth—smoothed for clarity.
5. Dynamic Thresholds: Automatically adjusts based on volatility to classify the market into:
* Accumulation: Strong buying signals.
* Distribution: Strong selling signals.
* Neutral: No significant flow dominance.
6. Entry Signals: Long/Short signals are generated when flow state shifts, supported by momentum, volume surge, and depth strength.
WHY IT IS UNIQUE:
Unlike typical indicators that rely solely on price or volume, this tool combines spread behavior, volume polarity, momentum weighting, and price rejection zones into a single visual interface. It dynamically adjusts sensitivity based on market volatility, helping avoid false signals during sideways or low-volume periods.
It is not based on any traditional indicator (RSI, MACD, etc.), making it ideal for traders looking for an original and data-driven market read.
HOW USER CAN BENEFIT FROM IT:
* Understand Market Context: Know whether the market is being accumulated, distributed, or ranging.
* Improve Entries/Exits: Use flow transitions combined with volume confirmation for high-probability setups.
* Spot Institutional Activity: Detect subtle shifts in liquidity that precede major price moves.
* Reduce Whipsaws: Dynamic thresholds and multi-factor confirmation help filter noise.
* Use with Any Style: Whether you're a swing trader, day trader, or scalper, this tool adapts to different timeframes and strategies.
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.