RVOL Effort Matrix💪🏻 RVOL Effort Matrix is a tiered volume framework that translates crowd participation into structure-aware visual zones. Rather than simply flagging spikes, it measures each bar’s volume as a ratio of its historical average and assigns to that effort dynamic tiers, creating a real-time map of conviction , exhaustion , and imbalance —before price even confirms.
⚖️ At its core, the tool builds a histogram of relative volume (RVOL). When enabled, a second layer overlays directional effort by estimating buy vs sell volume using candle body logic. If the candle closes higher, green (buy) volume dominates. If it closes lower, red (sell) volume leads. These components are stacked proportionally and inset beneath a colored cap line—a small but powerful layer that maintains visibility of the true effort tier even when split bars are active. The cap matches the original zone color, preserving context at all times.
Coloration communicates rhythm, tempo, and potential turning points:
• 🔴 = structurally weak effort, i.e. failed moves, fake-outs or trend exhaustion
• 🟡 = neutral volume, as seen in consolidations or pullbacks
• 🟢 = genuine commitment, good for continuation, breakout filters, or early rotation signals
• 🟣 = explosive volume signaling either climax or institutional entry—beware!
Background shading (optional) mirrors these zones across the pane for structural scanning at a glance. Volume bars can be toggled between full-stack mode or clean column view. Every layer is modular—built for composability with tools like ZVOL or OBVX Conviction Bias.
🧐 Ideal Use-Cases:
• 🕰 HTF bias anchoring → LTF execution
• 🧭 Identifying when structure is being driven by real crowd pressure
• 🚫 Fading green/fuchsia bars that fail to break structure
• ✅ Riding green/fuchsia follow-through in directional moves
🍷 Recommended Pairings:
• ZVOL for statistically significant volume anomaly detection
• OBVX Conviction Bias ↔️ for directional confirmation of effort zones
• SUPeR TReND 2.718 for structure-congruent entry filtering
• ATR Turbulence Ribbon to distinguish expansion pressure from churn
🥁 RVOL Effort Matrix is all about seeing—how much pressure is behind a move, whether that pressure is sustainable, and whether the crowd is aligned with price. It's volume, but readable. It’s structure, but dynamic. It’s the difference between obeying noise and trading to the beat of the market.
Forecasting
OBVX Conviction Bias🧮 The OBVX Conviction Bias overlay tracks the flow of directional volume using the classic On-Balance Volume calculation, then filters it through a layered moving average system to expose crowd commitment , pressure transitions , and momentum fatigue . The tool applies two smoothed averages to the OBV line—a fast curve and a longer-term baseline scaled using Euler’s constant (2.718)—and visualizes their relationship using a color-coded crossover ribbon and pressure fills. When used correctly, it reveals whether a move is being supported by meaningful volume, or whether the crowd is starting to disengage.
🚦 The core signal compares OBV to its fast moving average. When OBV climbs above the short average, it fills green—suggesting real directional effort. When OBV sinks below, the fill turns maroon—flagging fading conviction or pullback potential. A second fill between the short and long OBV moving averages captures the broader trend of volume intention. If the short is above the long, this space fills greenish, showing constructive pressure. If it flips, the fill fades red, signaling crowd hesitation, rotation, or early exhaustion.
⚖️ All smoothing is user-selectable, defaulting to VWMA for effort-sensitive structure. The long-term average is auto-scaled using the natural exponential multiplier (2.718), offering rhythm that reflects the curve of participation. OBVX Conviction Bias isn’t trying to predict—it’s trying to show you where the crowd is leaning , and whether that lean is gaining traction or losing strength.
🧐 Ideal Use-Cases:
• Detect divergence between volume flow and price action
• Confirm breakout validity with volume alignment
• Fade breakouts where OBV fails to follow through
• Time pullback entries when OBV pressure resumes in trend direction
🍷 Recommended Pairings:
• ZVOL to measure whether volume is statistically significant or just noise (as shown)
• RVOL Effort Matrix to validate crowd effort by tier and structure zone
• SUPeR TReND 2.718 and/or MA Ribbons for directional confluence
• ATR Turbulence to track volatility-phase alignment with volume intention
DB - Global M2 Money Index (Pro Version)This professional-grade TradingView indicator plots a composite Global M2 Money Supply Index by aggregating the money supply (M2) of 21+ global economies—adjusted to USD via currency conversion. It helps traders and investors assess the global liquidity cycle and its potential leading relationship with asset classes like Bitcoin, equities, and gold.
This Pro version includes an optional 5-color dynamic heatmap gradient, manual color override, correlation table, and preset time offsets for popular assets to easily visualize delayed macro correlations.
✅ Key Features:
1. 💰 Global M2 Aggregation
Sources daily M2 data from:
US, EU, UK, China, Japan, Canada, Brazil, India, Russia, and more (21 total).
Adjusts all foreign M2 values to USD via FX pairs.
Normalizes total M2 data to trillions (divided by 1e12).
2. 🔀 Time Offset Options
Easily offset the M2 curve to match lagging or leading macro behavior.
Preset Offsets for key assets like:
Bitcoin (108 days), SOL (82), SUI (84), ETH (78), TSLA (77), QQQ (50), Gold (7), etc.
Or use Manual Offset (custom range: ±1000 days).
3. 🌈 Visual Heatmap (Optional)
Enable 5-Color Heatmap Gradient for dynamic insight:
Blue to Green to Yellow to Orange to Red.
Indicates relative M2 supply pressure over a 90-day range.
Or use a Manual Line Color for static visualizations.
4. 📈 Overlay Plotting
Plots the M2 curve directly on the chart (right-scale overlay).
Adjustable offset aligns the plot visually with price action trends.
5. 📋 Built-In Correlation Table
Auto-calculates and displays correlations between the asset’s price (HLC3) and the M2 index (with offset applied) across:
30, 60, 90, 180, 360, 540, and 720-day lookbacks.
Dynamic table includes:
Correlation % (color-coded: red for negative, green for strong positive).
Adjustable position (top/bottom/left/right).
-----------------------------------------------------
🔧 Customization Inputs:
Manual Time Offset (days)
Asset Offset: dropdown with preset lags
Enable 5-Color Heatmap
Manual Line Color
Table Position: full placement control
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📊 Use Case:
Perfect for macro-focused traders who want to:
Track global liquidity trends.
Time lagged macro correlations (e.g., M2 expansion → crypto rallies).
Confirm or dismiss liquidity-driven market regimes.
Quantify [Trading Model] | FractalystNote: In this description, "TM" refers to Trading Model (not trademark) and "EM" refers to Entry Model
What’s the indicator’s purpose and functionality?
You know how to identify market bias but always struggle with figuring out the best exit method, or even hesitating to take your trades?
I've been there. That's why I built this solution—once and for all—to help traders who know the market bias but need a systematic and quantitative approach for their entries and trade management.
A model that shows you real-time market probabilities and insights, so you can focus on execution with confidence—not doubt or FOMO.
How does this Quantify differentiate from Quantify ?
Have you managed to code or even found an indicator that identifies the market bias for you, so you don’t have to manually spend time analyzing the market and trend?
Then that’s exactly why you might need the Quantify Trading Model.
With the Trading Model (TM) version, the script automatically uses your given bias identification method to determine the trend (bull vs bear and neutral), detect the bias, and provide instant insight into the trades you could’ve taken.
To avoid complications from consecutive signals, it uses a kNN machine learning algorithm that processes market structure and probabilities to predict the best future patterns.
(You don’t have to deal with any complexity—it’s all taken care of for you.)
Quantify TM uses the k-Nearest Neighbors (kNN) machine learning algorithm to learn from historical market patterns and adapt to changing market structures. This means it can recognize similar market conditions from the past and apply those lessons to current trading decisions.
On the other hand, Quantify EM requires you to manually select your directional bias. It then focuses solely on generating entry signals based on that pre-determined bias.
While the entry model version (EM) uses your manual bias selection to determine the trend, it then provides insights into trades you could’ve taken and should be taking.
Trading Model (TM)
- Uses `input.source()` to incorporate your personal methodology for identifying market bias
- Automates everything—from bias detection to entry and exit decisions
- Adapts to market bias changes through kNN machine learning optimization
- Reduces human intervention in trading decisions, limiting emotional interference
Entry Model (EM)
- Focuses specifically on optimizing entry points within your pre-selected directional bias
- Requires manual input for determining market bias
- Provides entry signals without automating alerts or bias rules
Can the indicator be applied to any market approach/trading strategy?
Yes, if you have clear rules for identifying the market bias, then you can code your bias detection and then use the input.source() user input to retrieve the direction from your own indicator, then the Quantify uses machine-learning identify the best setups for you.
Here's an example:
//@version=6
indicator('Moving Averages Bias', overlay = true)
// Input lengths for moving averages
ma10_length = input.int(10, title = 'MA 10 Length')
ma20_length = input.int(20, title = 'MA 20 Length')
ma50_length = input.int(50, title = 'MA 50 Length')
// Calculate moving averages
ma10 = ta.sma(close, ma10_length)
ma20 = ta.sma(close, ma20_length)
ma50 = ta.sma(close, ma50_length)
// Identify bias
var bias = 0
if close > ma10 and close > ma20 and close > ma50 and ma10 > ma20 and ma20 > ma50
bias := 1 // Bullish
bias
else if close < ma10 and close < ma20 and close < ma50 and ma10 < ma20 and ma20 < ma50
bias := -1 // Bearish
bias
else
bias := 0 // Neutral
bias
// Plot the bias
plot(bias, title = 'Identified Bias', color = color.blue,display = display.none)
Once you've created your custom bias indicator, you can integrate it with Quantify :
- Add your bias indicator to your chart
- Open the Quantify settings
- Set the Bias option to "Auto"
- Select your custom indicator as the bias source
The machine learning algorithms will then analyze historical price action and identify optimal setups based on your defined bias parameters. Performance statistics are displayed in summary tables, allowing you to evaluate effectiveness across different timeframes.
Can the indicator be used for different timeframes or trading styles?
Yes, regardless of the timeframe you’d like to take your entries, the indicator adapts to your trading style.
Whether you’re a swing trader, scalper, or even a position trader, the algorithm dynamically evaluates market conditions across your chosen timeframe.
How Quantify Helps You Trade Profitably?
The Quantify Trading Model offers several powerful features that can significantly improve your trading profitability when used correctly:
Real-Time Edge Assessment
It displays real-time probability of price moving in your favor versus hitting your stoploss
This gives you immediate insight into risk/reward dynamics before entering trades
You can make more informed decisions by knowing the statistical likelihood of success
Historical Edge Validation
Instantly shows whether your trading approach has demonstrated an edge in historical data
Prevents you from trading setups that historically haven't performed well
Gives confidence when entering trades that have proven statistical advantages
Optimized Position Sizing
Analyzes each setup's success rate to determine the adjusted Kelly criterion formula
Customizes position sizing based on your selected maximum drawdown tolerance
Helps prevent account-destroying losses while maximizing growth potential
Advanced Exit Management
Utilizes market structure-based trailing stop-loss mechanisms
Maximizes the average risk-reward ratio profit per winning trade
Helps capture larger moves while protecting gains during market reversals
Emotional Discipline Enforcement
Eliminates emotional bias by adhering to your pre-defined rules for market direction
Prevents impulsive decisions by providing objective entry and exit signals
Creates psychological distance between your emotions and trading decisions
Overtrading Prevention
Highlights only setups that demonstrate positive expectancy
Reduces frequency of low-probability trades
Conserves capital for higher-quality opportunities
Systematic Approach Benefits
By combining machine learning algorithms with your personal bias identification methods, Quantify helps transform discretionary trading approaches into more systematic, probability-based strategies.
What Entry Models are used in Quantify Trading Model version?
The Quantify Trading Model utilizes two primary entry models to identify high-probability trade setups:
Breakout Entry Model
- Identifies potential trade entries when price breaks through significant swing highs and swing lows
- Captures momentum as price moves beyond established trading ranges
- Particularly effective in trending markets when combined with the appropriate bias detection
- Optimized by machine learning to filter false breakouts based on historical performance
Fractals Entry Model
- Utilizes fractal patterns to identify potential reversal or continuation points
- Also uses swing levels to determine optimal entry locations
- Based on the concept that market structure repeats across different timeframes
- Identifies local highs and lows that form natural entry points
- Enhanced by machine learning to recognize the most profitable fractal formations
- These entry models work in conjunction with your custom bias indicator to ensure trades are taken in the direction of the overall market trend. The machine learning component analyzes historical performance of these entry types across different market conditions to optimize entry timing and signal quality.
How Does This Indicator Identify Market Structure?
1. Swing Detection
• The indicator identifies key swing points on the chart. These are local highs or lows where the price reverses direction, forming the foundation of market structure.
2. Structural Break Validation
• A structural break is flagged when a candle closes above a previous swing high (bullish) or below a previous swing low (bearish).
• Break Confirmation Process:
To confirm the break, the indicator applies the following rules:
• Valid Swing Preceding the Break: There must be at least one valid swing point before the break.
3. Numeric Labeling
• Each confirmed structural break is assigned a unique numeric ID starting from 1.
• This helps traders track breaks sequentially and analyze how the market structure evolves over time.
4. Liquidity and Invalidation Zones
• For every confirmed structural break, the indicator highlights two critical zones:
1. Liquidity Zone (LIQ): Represents the structural liquidity level.
2. Invalidation Zone (INV): Acts as Invalidation point if the structure fails to hold.
How does the trailing stop-loss work? what are the underlying calculations?
A trailing stoploss is a dynamic risk management tool that moves with the price as the market trend continues in the trader’s favor. Unlike a fixed take profit, which stays at a set level, the trailing stoploss automatically adjusts itself as the market moves, locking in profits as the price advances.
In Quantify, the trailing stoploss is enhanced by incorporating market structure liquidity levels (explain above). This ensures that the stoploss adjusts intelligently based on key price levels, allowing the trader to stay in the trade as long as the trend remains intact, while also protecting profits if the market reverses.
What is the Kelly Criterion, and how does it work in Quantify?
The Kelly Criterion is a mathematical formula used to determine the optimal position size for each trade, maximizing long-term growth while minimizing the risk of large drawdowns. It calculates the percentage of your portfolio to risk on a trade based on the probability of winning and the expected payoff.
Quantify integrates this with user-defined inputs to dynamically calculate the most effective position size in percentage, aligning with the trader’s risk tolerance and desired exposure.
How does Quantify use the Kelly Criterion in practice?
Quantify uses the Kelly Criterion to optimize position sizing based on the following factors:
1. Confidence Level: The model assesses the confidence level in the trade setup based on historical data and sample size. A higher confidence level increases the suggested position size because the trade has a higher probability of success.
2. Max Allowed Drawdown (User-Defined): Traders can set their preferred maximum allowed drawdown, which dictates how much loss is acceptable before reducing position size or stopping trading. Quantify uses this input to ensure that risk exposure aligns with the trader’s risk tolerance.
3. Probabilities: Quantify calculates the probabilities of success for each trade setup. The higher the probability of a successful trade (based on historical price action and liquidity levels), the larger the position size suggested by the Kelly Criterion.
How can I get started to use the indicator?
1. Set Your Market Bias
• Choose Auto.
• Select the source you want Quantify to use as for bias identification method (explained above)
2. Choose Your Entry Timeframes
• Specify the timeframes you want to focus on for trade entries.
• The indicator will dynamically analyze these timeframes to provide optimal setups.
3. Choose Your Entry Model and BE/TP Levels
• Choose a model that suits your personality
• Choose a level where you'd like the script to take profit or move stop-loss to BE
4. Set and activate the alerts
What tables are used in the Quantify?
• Quarterly
• Monthly
• Weekly
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
DB - CME Gap [Multi Asset Auto Detection: BTC,SOL, etc]DB - CME Gap is a pro-grade, zero-maintenance CME gap tracker designed for serious traders.
This script automatically detects unfilled CME futures gaps across a wide range of assets—crypto, equities, bonds, commodities, FX, and agriculture—by pulling the official Friday close from CME’s daily futures data. It visually highlights unfilled weekend gaps and keeps them active on the chart until the price fully crosses through the gap level, offering a reliable view of market inefficiencies that often attract future liquidity.
Whether you're trading BTC, ES, CL, ZN, 6E, or ZC... this tool auto-detects and adjusts to the asset you're charting, so you don’t need to change any settings.
🧠 Key Benefits
Fully Automated – No symbol selection required; works instantly across asset classes
Professional Grade – Clean, minimal visuals with dynamic gap tracking
Always Accurate – Uses CME official daily closes to identify true weekend gaps
Cross-Market Versatility – Supports a broad range of assets without editing code
✅ Features
🔍 Auto Symbol Detection
Automatically identifies whether you're viewing BTC, ETH, SOL, ES, NQ, CL, ZN, 6E, GC, ZC, and more—no input required.
📅 CME Friday Close Logic
Pulls the actual Friday close from CME's daily data to detect accurate gap reference points.
🚨 Weekend Gap Detection
Monitors Friday after-hours, Saturday, and Sunday to detect gaps between CME close and weekend price action.
🧠 Persistent Gap Tracking
Gaps remain active until price fully crosses the gap level—no false closures.
📈 Dynamic Line Drawing
Draws a horizontal line at the gap price and extends it to the point of fill.
🌈 Custom Gradient Shading
Fills the area between the current price and the CME gap with directional color gradients based on price movement.
🎨 User-Configurable Colors
Adjust bull and bear fill color themes to suit your personal style.
🧩 Compatible with All Major Asset Classes
Works with:
Crypto: BTC, ETH, SOL
Equities: ES, NQ, YM, MES, MNQ
Bonds & Rates: ZN, ZB, ZF, ZT, GE
Commodities: CL, GC, NG, BZ, SI
FX: 6E, 6J, 6B
Ags: ZC (Corn), ZS (Soybeans)
BB Sidecar CalculatorBB Sidecar Calculator
Visual trade planner and dynamic risk-to-reward tool
Overview
The BB Sidecar Calculator is a precision planning tool designed to help traders visualize risk, reward, and position sizing directly on their charts. By inputting basic trade parameters, the indicator calculates stop-loss distance, potential profit targets in R multiples, and total dollar risk or gain based on the instrument type and lot size. It supports a wide range of assets including futures, forex, and equities.
Features
• Manually input or click-to-place entry and stop levels directly on the chart
• Drag and adjust levels dynamically with real-time updates to targets and risk values
• Automatic detection of long or short direction based on entry vs. stop placement
• Supports optional Max Dollar Risk setting to cap trade risk based on your account limits
• Configurable number of R-multiple targets (1R to 10R)
• Instrument-aware calculations with pip support for forex and point-based logic for stocks and futures
• Adjustable label display with configurable text size, color, and price precision
• Customizable currency symbol to match your account denomination
How to Use
1. When you first add the indicator, click on the chart to place your Entry and Stop levels.
2. The indicator will automatically determine whether the trade is Long or Short.
3. Drag either level up or down to adjust your setup visually.
4. Set your Lot Size and optionally define a Max $ Risk value.
5. The indicator will display:
• Entry line with lot size label
• Stop line with dollar risk and distance
• Up to 10 risk-multiple profit targets (1R, 2R, etc.)
Max Risk Logic
When a value is entered for Max $ Risk, the indicator calculates the maximum price difference you can afford based on your lot size and instrument type. It will then:
• Calculate a stop-loss price that aligns with your risk cap
• Compare this with the user-defined stop price
• Select the more conservative stop (the one with less dollar risk)
• Display updated profit targets based on the selected stop level
For forex pairs, pip value and pip size are accounted for in risk calculations. For stocks and futures, point value is used.
If Max $ Risk is set to 0, the indicator uses your manually defined stop price exclusively.
Notes
• Labels and visuals are rendered only on the latest bar for clarity
• Supports various decimal precision levels for accurate price formatting
• Designed for use in planning, not live trade execution
• Works across multiple timeframes and instrument types
BeSight Mega SpotBeSight Mega Spot – Zone Based Price Grid Indicator
สคริปต์นี้ถูกออกแบบมาเพื่อช่วยเทรดเดอร์มองเห็นโซนราคาสำคัญที่ราคาอาจเกิดปฏิกิริยา โดยอ้างอิงจากระดับราคาที่ลงท้ายด้วย 0 และ 5 (เช่น 1350, 1355, 1360 เป็นต้น) ซึ่งมักเป็นระดับที่มีการตั้งคำสั่งซื้อขายจำนวนมากในตลาด
BeSight Mega Spot – Zone-Based Price Grid Indicator
This indicator is designed to help traders visualize key price zones where the market often reacts, based on price levels ending with 0 or 5 (e.g., 1350, 1355, 1360). These levels are commonly used for pending orders, liquidity, or price clustering zones.
It displays horizontal grid lines at fixed step intervals (default: every 5 points), covering the entire visible price range of the chart. Each price level is labeled for better clarity and planning.
🟦 Blue lines: Price levels ending in 0
⬜ Gray lines: Price levels ending in 5
This tool is useful for identifying potential institutional behavior zones, price consolidation, accumulation/distribution areas, or psychological support/resistance levels.
🧠 Notes:
- This indicator is not a buy/sell signal tool or predictive system.
- It works best when used in conjunction with other technical tools such as Supply/Demand zones or Smart Money Concepts (SMC) analysis.
- Compatible with all instruments: stocks, futures, forex, crypto, etc.
✅ How to use:
1. Add the indicator to your chart
2. Observe how price interacts with the 0/5 grid zones
3. Use the lines to assist with breakout, retest, or reversal planning
4. Combine with price action or other indicators for higher precision
✨ Developed by BeSight – A Community Of Traders
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อินดิเคเตอร์นี้จะแสดงเส้นแนวนอนแบบตาราง (Grid) ที่แบ่งช่วงราคาออกเป็นระยะ ๆ ตามค่าที่ผู้ใช้กำหนด เช่น ทุก ๆ 5 จุด และครอบคลุมช่วงราคาทั้งหมดของกราฟ โดยแสดงเป็นเส้นแบบ dotted พร้อมป้ายราคาเพื่อให้มองเห็นได้ชัดเจน
🟦 เส้นสีน้ำเงิน: แสดงระดับราคาที่ลงท้ายด้วย 0
⬜ เส้นสีเทา: แสดงระดับราคาที่ลงท้ายด้วย 5
เหมาะสำหรับผู้ที่ต้องการดูโซนราคา "หยุดพัก / เก็บของ / เปิดโพซิชัน" ซึ่งอาจสะท้อนพฤติกรรมของผู้เล่นรายใหญ่หรือสถาบันในตลาด
🧠 ข้อควรรู้:
- อินดิเคเตอร์นี้ไม่ได้บอกจุดเข้าเทรดหรือการคาดการณ์ แต่ช่วยในการวางแผนแนวรับ-แนวต้านร่วมกับเครื่องมือวิเคราะห์อื่น ๆ
- รองรับทุกสินทรัพย์ที่มีหน่วยราคาคงที่ (หุ้น, ฟิวเจอร์ส, ฟอเร็กซ์, คริปโต ฯลฯ)
✅ วิธีใช้งาน:
1. เพิ่มอินดิเคเตอร์นี้ลงบนกราฟ
2. ใช้เส้น Grid เป็นแนวประกอบในการดูพฤติกรรมราคา เช่น การหยุดลง, การเบรกแนว, การกลับตัว
3. ผสมผสานกับโซน Demand/Supply หรือโซน SMC เพื่อความแม่นยำ
✨ พัฒนาโดย BeSight – คอมมูนิตี้ของเทรดเดอร์ตัวจริง
Breakoutprop Daily Reset# Breakoutprop Daily Reset
This indicator helps Breakoutprop prop firm traders visualize daily reset times on their charts with precision. The indicator draws a vertical line at the exact reset time, making it easy to track when your daily profit/loss calculations will reset.
## What is this indicator for?
Breakoutprop and many other prop firms use a daily reset system where your trading metrics (like maximum drawdown) reset at a specific time each day. This indicator:
- Shows the exact daily reset time with a vertical line on your chart
- Helps you plan your trades around reset times
- Provides clear visual reference for when your daily trading metrics will reset
## Main Features
- **Daily Reset Visualization**: Clear vertical line showing when your daily metrics will reset
- **UTC Time Display**: Time label showing the exact reset time in UTC
- **Customizable Appearance**: Adjust colors, line styles, and transparency to match your chart setup
- **Advanced Customization**: Fully adjustable label positioning, sizes, and color settings
- **Additional Price Line**: Optional feature to mark significant price levels if needed (disabled by default)
## How to Use
### Basic Setup
1. Add the indicator to your chart
2. Set the reset hour and minute to match your Breakoutprop account's daily reset time (default is 00:30 UTC)
3. The indicator will automatically show a vertical line at the next reset time
### Appearance Customization
- Modify colors, line width, and style in the "Appearance Settings" group
- Adjust label settings in the "Label Settings" group
- Use "Compact Mode" to show only the time without additional text
### Additional Features (Optional)
- The indicator includes an optional price line feature that can be enabled if needed
- This is disabled by default but can be activated in the "Price Line Settings" section
## Tips for Breakoutprop Traders
- Set this indicator to match your account's specific reset time (check your Breakoutprop dashboard)
- Use the "Extend Lines" option to see the reset time projected across your entire chart
- Customize the label appearance and position to avoid overlapping with price action
- For night traders, the indicator automatically calculates the next reset time
This indicator is specifically designed for Breakoutprop traders but works with any prop firm that uses daily reset times for tracking trading performance.
H1 Candle Reference + n Pips TargetThis indicator uses the H1 candle at a specified time (default 8:00) to set daily reference levels. It captures the high and low of the 8:00 H1 candle and displays them as blue horizontal lines across all timeframes for the rest of the day. Additionally, it plots two red target lines, set a fixed number of ticks above and below these reference levels.
3SMA +30 Stan Weinstein +200WMA +alert-crossingIndicator Description: Stan Weinstein Strategy + Key Moving Averages
🔹 Introduction
This indicator combines the Classic Stan Weinstein Strategy with a modern update based on the author’s latest recommendations. It includes key moving averages that help identify trends and potential entry or exit points in the market.
📊 Included Moving Averages (Fully Customizable)
All moving averages in this indicator have modifiable parameters, allowing users to adjust values in the input settings.
1️⃣ 30-Week SMA (Stan Weinstein): A long-term trend indicator defining the asset’s main trend.
2️⃣ 40-Week SMA (Weinstein Update): An adjusted version recommended by the author in his recent updates.
3️⃣ 10-Day SMA: Displays short-term price action and helps confirm trend changes.
4️⃣ 100-Day SMA: A medium-term trend measure used by traders to assess trend strength.
5️⃣ 200-Day WMA (Weighted Moving Average): A very long-term indicator that filters market noise and confirms solid trends.
🔍 How to Interpret It
✔️ 30/40-Week SMA in an uptrend → Confirms an accumulation phase or an upward price trend.
✔️ Price above the 200-WMA → Indicates a strong and healthy long-term trend.
✔️ 10-SMA crossing other moving averages → Can signal an early entry or exit opportunity.
✔️ 100-SMA vs. 200-WMA → A breakout of the 100-SMA above the 200-WMA may signal a new bullish phase.
🚨 Built-in Alerts (Key Crossovers)
The indicator includes automatic alerts to notify traders when key moving averages cross, allowing timely reactions:
🔔 10-SMA crossing the 40-SMA → Possible medium-term trend shift.
🔔 10-SMA crossing the 200-WMA → Confirmation of a stronger trend.
🔔 40-SMA crossing the 200-WMA → Long-term trend reversal signal.
💡 Customization: All moving average periods can be adjusted in the input settings, making the indicator flexible for different trading strategies.
Open Vertical Lines [TradeWithRon]This indicator allows traders to draw vertical lines manually or automatically based on the current or specified higher timeframes. It is a versatile tool designed to help users identify and mark significant changes in the market, such as new candle formations, based on a selected or auto-adjusted timeframe.
Open Source
Features:
Timeframe Customization: Users can either manually specify a desired timeframe (e.g., 1-hour, 1-day, etc.) or enable the "Auto" feature, which automatically adjusts the timeframe based on the current chart's timeframe for better alignment with different trading strategies.
Customizable Line Style: The vertical line can be drawn in three different styles: Solid, Dashed, or Dotted, giving users the flexibility to choose their preferred appearance for better chart readability.
Line Color: Users can select the color of the vertical line with transparency options to match their chart's visual preferences.
Auto Timeframe Adjustments: The "Auto Align" option dynamically adjusts the timeframe used for vertical lines depending on the chart's current timeframe. For example, if you’re using a lower timeframe (e.g., 5 minutes), the indicator will automatically switch to a higher timeframe (e.g., 1 hour or daily) to mark vertical lines, ensuring the lines correspond to higher timeframe price action.
Vertical Line Placement:
A vertical line is placed each time a new candle appears on the chart, marking key moments for the user to analyze market movements. This can be helpful for marking the start of new trading sessions or significant events in the market.
How to Use:
1. Apply the indicator to your chart.
2. Configure the preferred timeframe settings (either fixed or auto-align).
3. Customize the line style and color according to your visual preference.
4. The indicator will automatically place vertical lines on the chart when a new candle is formed, based on your selected timeframe.
AltSeasonality - MTFAltSeason is more than a brief macro market cycle — it's a condition. This indicator helps traders identify when altcoins are gaining strength relative to Bitcoin dominance, allowing for more precise entries, exits, and trade selection across any timeframe.
The key for altcoin traders is that the lower the timeframe, the higher the alpha.
By tracking the TOTAL3/BTC.D ratio — a real-time measure of altcoin strength versus Bitcoin — this tool highlights when capital is rotating into or out of altcoins. It works as a bias filter, helping traders avoid low-conviction setups, especially in chop or during BTC-led conditions.
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It works well on the 1D chart to validate swing entries during strong altcoin expansion phases — especially when TOTAL3/BTC.D breaks out while BTCUSD consolidates.
On the 4H or 1D chart, rising TOTAL3/BTC.D + a breakout on your altcoin = high-conviction setup. If BTC is leading, fade the move or reduce size. Consider pairing with the Accumulation - Distribution Candles, optimized for the 1D (not shown).
🔍 Where this indicator really excels, however, is on the 1H and 15M charts, where short-term traders need fast bias confirmation before committing to a move. Designed for scalpers, intraday momentum traders, and tactical swing setups.
Use this indicator to confirm whether an altcoin breakout is supported by broad market flow — or likely to fail due to hidden BTC dominance pressure.
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🧠 How it works:
- TOTAL3 = market cap of altcoins (excl. BTC + ETH)
- BTC.D = Bitcoin dominance as % of total market cap
- TOTAL3 / BTC.D = a normalized measure of altcoin capital strength vs Bitcoin
- BTCUSD = trend baseline and comparison anchor
The indicator compares these forces side-by-side, using a normalized dual-line ribbon. There is intentionally no "smoothing".
When TOTAL3/BTC.D is leading, the ribbon shifts to an “altseason active” phase. When BTCUSD regains control, the ribbon flips back into BTC dominance — signaling defensive posture.
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💡 Strategy Example:
On the 1H chart, a crossover into altseason → check the 15M chart for confirmation. Consider adding the SUPeR TReND 2.718 for confirmation (not shown). If both align, you have trend + flow confluence. If BTCUSD is leading or ribbon is mixed, reduce exposure or wait for confirmation. Further confirmation via Volume breakouts in your specific coin.
⚙️ Features:
• MTF source selection (D, 1H, 15M)
• Normalized ribbon (TOTAL3/BTC.D vs BTCUSD)
• Cross-aware fill shading
• Custom color and transparency controls
• Optional crossover markers
• Midline + zone guides (0.2 / 0.5 / 0.8)
Cz ASR indicatorAverage session range indicator built by me. Great tool to gauge volatility and intraday reversal zones. Great for FX as there is an included table that shows range in pips; however, this can be applied across all assets as a volatility measure.
How it works:
The script measures the range of sessions, including Asia, London, and New York. The lookback period could be adjusted so you can find what length works best and is most accurate. This is then averaged out to provide the ASR. This provides us with an upper and lower bound of which the price could potentially fluctuate in based on the past session ranges. I have also added the 50% ASR, which is also a super useful metric for reversals or continuations.
There is also a configurable UTC so that you can adjust the indicator so it can accurately measure the range within certain sessions.
Note - different session start and stop times vary from market to market. I have set the code to the standard forex market opens however, if you wish to change the time ,you are able to do so by editing the variables in the script
Enjoy :)
Vertical Line at Specified HoursThis script helps you easily separate time.
This indicator can be used for many different purposes. For example, I use it to separate different days and sessions.
Features :
1- Ability to use 10 vertical lines simultaneously
2- The Possibility to change the color of lines
3- The Possibility to change the line type
Tip : The times you enter in the input section must be in the New York time zone.
ATR - Asymmetric Turbulence Ribbon🧭 Asymmetric Turbulence Ribbon (ATR)
The Asymmetric Turbulence Ribbon (ATR) is an enhanced and reimagined version of the standard Average True Range (ATR) indicator. It visualizes not just raw volatility, but the structure, momentum, and efficiency of volatility through a multi-layered visual approach.
It contains two distinct visual systems:
1. A zero-centered histogram that expresses how current volatility compares to its historical average, with intensity and color showing speed and conviction
2. A braided ribbon made of dual ATR-based moving averages that highlight transitions in volatility behavior—whether volatility is expanding or contracting
The name reflects its purpose: to capture asymmetric, evolving turbulence in market behavior, through structure-aware volatility tracking.
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🔧 Inputs (Fibonacci defaults)
ATR Length
Lookback period for ATR calculation (default: 13)
ATR Base Avg. Length
Moving average period used as the zero baseline for histogram (default: 55)
ATR ROC Lookback
Number of bars to measure rate of change for histogram color mapping (default: 8)
Timeframe Override
Optionally calculate ATR values from a higher or fixed timeframe (e.g., 1D) for macro-volatility overlay
Show Ribbon Fill
Toggles colored fill between ATR EMA and HMA lines
Show ATR MAs
Toggles visibility of ATR EMA and HMA lines
Show Crossover Markers
Shows directional triangle markers where ATR EMA and HMA cross
Show Histogram
Toggles the entire histogram display
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📊 Histogram Component: Volatility Energy Profile
The histogram shows how far the current ATR is from its moving average baseline, centered around zero. This lets you interpret volatility pressure—whether it's expanding, contracting, or preparing to reverse.
To complement this, the indicator also plots the raw ATR line in aqua. This is the actual average true range value—used internally in both the histogram and ribbon calculations. By default, it appears as a slightly thicker line, providing a clear reference point for comparing historical volatility trends and absolute levels.
Use the baseline ATR to:
- Compare real-time volatility to previous peaks or troughs
- Monitor how ATR behaves near histogram flips or ribbon crossovers
- Evaluate volatility phases in absolute terms alongside relative momentum
The ATR line is particularly helpful for users who want to keep tabs on raw volatility values while still benefiting from the enhanced visual storytelling of the histogram and ribbon systems.
Each histogram bar is colored based on the rate of change (ROC) in ATR: The faster ATR rises or falls, the more intense the color. Meanwhile, the opacity of each bar is adjusted by the effort/result ratio of the price candle (body vs. range), showing how much price movement was achieved with conviction.
Color Interpretation:
🔴 Red
Strong volatility expansion
Market entering or deepening into a volatility burst
Seen during breakouts, panic moves, or macro shock events
Often accompanied by large real candle bodies
🟠 Orange
Moderate volatility expansion
Heating up phase, often precedes breakouts
Common in strong trending environments
Signals tightening before acceleration
🟡 Yellow
Mild volatility increase
Transitional state—energy building, not yet exploding
Appears in early trend development or pullbacks
🟢 Green
Mild volatility contraction
ATR cooling off
Seen during consolidation, reversion, or range balance
Good time to assess upcoming directional setups
🔵 Aqua
Moderate compression
Volatility is clearly declining
Signals consolidation within larger structure
Pre-breakout zones often form here
🔵 Deep Blue
Strong volatility compression
Market is coiling or dormant
Can signal upcoming squeeze or fade environment
Often followed by sharp expansion
Opacity scaling:
Brighter bars = efficient, directional price action (strong bodies)
Faded bars = indecision, chop, absorption, or wick-heavy structure
Together, color and opacity give a 2D view of market volatility: Hue = the type and direction of volatility
Opacity = the quality and structure behind it
Use this to gauge whether volatility is rising with conviction, fading into neutrality, or compressing toward breakout potential.
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🪡 Ribbon Component: Volatility Rhythm Structure
The ribbon overlays two moving averages of ATR:
EMA (yellow) – faster, more reactive
HMA (orange) – smoother, more rhythmic
Their relationship creates the ribbon logic:
Yellow fill (EMA > HMA)
Short-term volatility is increasing faster than the longer-term rhythm
Signals active expansion and engagement
Orange fill (HMA > EMA)
Volatility is decaying or leveling off
Suggests possible exhaustion, pullback, or range
Crossover triangle markers (optional, off by default to avoid clutter) identify the moment of shift in volatility phase.
The ribbon reflects the shape of volatility over time—ideal for mapping cyclical energy shifts, transitional states, and alignment between current and average volatility.
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📐 Strategy Application
Use the Asymmetric Turbulence Ribbon to:
- Detect volatility expansions before breakouts or directional runs
- Spot compression zones that precede structural ruptures
- Visually separate efficient moves from noisy market activity
- Confirm or fade trade setups based on underlying energy state
- Track the volatility environment across multiple timeframes using the override
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🎯 Ideal Timeframes
Designed to function across all timeframes, but particularly powerful on intraday to daily ranges (1H to 1D)
Use the timeframe override to anchor your chart in higher-timeframe volatility context, like daily ATR behavior influencing a 1H setup.
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🧬 Customization Tips
- Increase ATR ROC Lookback for smoother color transitions
- Extend ATR Base Avg Length for more macro-driven histogram centering
- Disable the histogram for ribbon-only rhythm view
- Use opacity and color shifts in the histogram to detect stealth energy builds
- Align ATR phases with structure or order flow tools for high-quality setups
ATR and Moving AverageUsing ATR and Moving Average: A Technical Analysis Strategy
The Average True Range (ATR) and the Moving Average are two important technical analysis tools that can be used together to identify trading opportunities in the market. In this article, we will explore how to use these two tools and how the crossover between them can indicate changes in the market.
What is ATR?
The Average True Range (ATR) is a measure of the volatility of an asset, which calculates the average true range of an asset over a period of time. The true range is the difference between the closing price and the opening price of an asset, or the difference between the closing price and the highest or lowest price of the day. ATR is an important measure of volatility, as it helps to identify the magnitude of price fluctuations of an asset.
What is Moving Average?
The Moving Average is a technical analysis tool that calculates the average price of an asset over a period of time. The Moving Average can be used to identify trends and price patterns, and is an important tool for traders. There are different types of Moving Averages, including the Simple Moving Average (SMA), the Exponential Moving Average (EMA), and the Weighted Moving Average (WMA).
Crossover between ATR and Moving Average
The crossover between ATR and Moving Average can be an important indicator of changes in the market. When ATR crosses above the Moving Average, it may indicate that the volatility of the asset is increasing and that the price may be about to rise. This occurs because ATR is increasing, which means that the true range of the asset is increasing, and the Moving Average is being surpassed, which means that the price is rising.
On the other hand, when ATR crosses below the Moving Average, it may indicate that the volatility of the asset is decreasing and that the price may be about to fall. This occurs because ATR is decreasing, which means that the true range of the asset is decreasing, and the Moving Average is being surpassed, which means that the price is falling.
Trading Strategies
There are several trading strategies that can be used with the crossover between ATR and Moving Average. Some of these strategies include:
Buying when ATR crosses above the Moving Average, with the expectation that the price will rise.
Selling when ATR crosses below the Moving Average, with the expectation that the price will fall.
Using the crossover between ATR and Moving Average as a filter for other trading strategies, such as trend analysis or pattern recognition.
In summary, the crossover between ATR and Moving Average can be an important indicator of changes in the market, and can be used as a technical analysis tool to identify trading opportunities. However, it is important to remember that no trading strategy is foolproof, and that it is always important to use a disciplined approach and manage risk adequately.
Swing Trade IndicatorThis is a Swing Trade Indicator that combines several technical indicators to analyze market conditions and generate trade signals. I've included two tables that provide real-time information to help you analyze the market and track trades: the Market Status Table and the Trade Tracking Table. These tables are overlaid on the TradingView chart and are customizable in terms of position and visibility.
Simple Moving Averages (SMAs):
Determines trend direction (e.g., bullish if fastMA > slowMA).
Calculates the average closing price over a set period:
fastMA: 21-period SMA (short-term trend).
slowMA: 50-period SMA (medium-term trend).
ultraSlowMA: 200-period SMA (long-term trend).
How:
ta.sma(close, fastLength) computes the SMA of the closing price over fastLength bars (similarly for slowLength and ultraSlowLength).
Volume Analysis:
Identifies potential liquidity spikes.
Measures trading volume to detect high activity.
Average volume over liquidityPeriod (20 bars).
Standard deviation of volume to set a dynamic threshold.
How:
avgVolume = ta.sma(volume, liquidityPeriod): Average volume.
volumeStdDev = ta.stdev(volume, liquidityPeriod): Volatility of volume.
highVolume = volume > avgVolume + volumeStdDev * volumeThresholdMultiplier: Flags high volume if it exceeds the average plus a multiplier (default 1.0) times the standard deviation.
Relative Strength Index (RSI):
Filters entries to avoid overextended markets.
Measures momentum and overbought/oversold conditions.
14-period RSI with thresholds at 60 (overbought) and 40 (oversold).
How:
rsiValue = ta.rsi(close, rsiLength) calculates RSI based on price changes over 14 bars.
Average Directional Index (ADX):
Gauges whether the trend is strong enough to trade.
Assesses trend strength.
14-period ADX.
How:
Calculates True Range (tr), Plus Directional Movement (plusDM), and Minus Directional Movement (minusDM).
Smooths these with ta.rma (Running Moving Average) over adxLength (14).
Computes plusDI and minusDI (directional indicators), then dx (difference), and finally adxValue = ta.rma(dx, adxLength) for trend strength.
Classifies as "Strong" (≥40), "Moderate" (≥20), or "Weak" (<20).
Moving Average Convergence Divergence (MACD) (Optional):
Optional filter for entry conditions if useMacdFilter is enabled.
Tracks momentum and trend changes.
Fast EMA (12), Slow EMA (26), Signal Line (9).
How:
= ta.macd(close, macdFastLength, macdSlowLength, macdSignalLength) computes the MACD components.
macdBullish = macdLine > signalLine: Bullish signal.
macdBearish = macdLine < signalLine: Bearish signal.
Liquidity Zones:
Confirms entries near key levels and suggests next trade setups.
Identifies support and resistance levels based on recent price extremes.
Dynamic levels over 20 bars (if useDynamicLevels is true).
How:
highLiquidityLevel1 = ta.highest(high, 20): Highest high in last 20 bars.
highLiquidityLevel2 = ta.highest(high , 20): Highest high from 20 to 40 bars ago.
highLiquidityLevel3 = ta.lowest(low, 20): Lowest low in last 20 bars.
highLiquidityLevel4 = ta.lowest(low , 20): Lowest low from 20 to 40 bars ago.
Upper and lower zones are derived (upperLevel, lowerLevel), with a midpoint between them.
How It Calculates Entries and Exits
Long Entry:
Basic Conditions (longEntry):
close > fastMA: Price is above the 21-period SMA.
fastMA > slowMA: Short-term trend is above medium-term trend (bullish).
rsiValue < rsiOverbought: RSI below 60 (not overbought).
(not useMacdFilter or macdBullish): If MACD filter is off, ignore it; if on, MACD must be bullish.
Confirmed Entry (confirmedLongEntry):
longEntry is true.
close >= highLiquidityLevel3 * 0.95 and close <= highLiquidityLevel3 * 1.05: Price is within 5% of the lower liquidity level (support).
Action: Sets currentPosition = 'long', records entry price and bar, plots a green triangle below the bar.
Short Entry:
Basic Conditions (shortEntry):
close < fastMA: Price is below the 21-period SMA.
fastMA < slowMA: Short-term trend is below medium-term trend (bearish).
rsiValue > rsiOversold: RSI above 40 (not oversold).
(not useMacdFilter or macdBearish): If MACD filter is off, ignore it; if on, MACD must be bearish.
Confirmed Entry (confirmedShortEntry):
shortEntry is true.
close <= highLiquidityLevel1 * 1.05 and close >= highLiquidityLevel1 * 0.95: Price is within 5% of the upper liquidity level (resistance).
Action: Sets currentPosition = 'short', records entry price and bar, plots a red triangle above the bar.
Exit Conditions
Note: The exit logic is defined but commented out in the script (//longExit and //shortExit), meaning it doesn’t automatically exit positions. It calculates stop-loss and take-profit levels for manual use:
Long Exit (if uncommented):
close < stopLossLevelLong: Price falls below stop-loss (entry price × (1 - 1.5%)).
close > takeProfitLevelLong: Price exceeds take-profit (entry price × (1 + 1.5% × 2.0)).
Short Exit (if uncommented):
close > stopLossLevelShort: Price rises above stop-loss (entry price × (1 + 1.5%)).
close < takeProfitLevelShort: Price falls below take-profit (entry price × (1 - 1.5% × 2.0)).
Suggested Levels: The script provides suggestedLongSL, suggestedLongTP, suggestedShortSL, and suggestedShortTP in the Market Status Table, based on liquidity levels rather than entry price, for manual exits.
Users Can Edit Settings:
Market Status Table Position: Dropdown (e.g., "top_right" to "bottom_left").
Trade Tracking Table Position: Dropdown (e.g., "bottom_right" to "middle_center").
Visibility Toggles (checkboxes):
Show Tables: Enable/disable tables (default: true).
Show Liquidity Zones: Not plotted but affects logic (default: true).
Show Entry Points: Show/hide entry triangles (default: true).
Use Dynamic Levels: Enable/disable liquidity zones (default: true).
Use MACD for Entry Filter: Add MACD to entry conditions (default: false).
Show MACD on Chart: Not implemented but reserved (default: false).
Indicator Periods:
Fast MA Length: Integer (default: 21, e.g., change to 10).
Slow MA Length: Integer (default: 50, e.g., change to 30).
Ultra Slow MA Length: Integer (default: 200, e.g., change to 100).
Liquidity Detection Period: Integer (default: 20, e.g., change to 10).
RSI Length: Integer (default: 14, e.g., change to 7).
ADX Length: Integer (default: 14, e.g., change to 20).
MACD Fast/Slow/Signal Length: Integers (default: 12/26/9, e.g., 9/21/5).
Thresholds:
Volume Threshold Multiplier: Float (default: 1.0, e.g., 1.5 for stricter high volume).
RSI Overbought: Integer (default: 60, e.g., 70).
RSI Oversold: Integer (default: 40, e.g., 30).
Stop Loss %: Float (default: 1.5, e.g., 2.0, range 0.1-10).
Take Profit Ratio: Float (default: 2.0, e.g., 3.0, range 1.0-5.0).
Liquidity Threshold (%): Float (default: 2.0, e.g., 1.5, range 0.5-5.0).
EURUSD Swing High/Low ProjectionBikini Bottom custom projection tool. Aimed to project tops and bottoms. Don't use unless you understand how it works :)
Radi IQ [TradingIQ]Introducing "Radi IQ".
Radi IQ is a comprehensive market structure indicator designed to provide traders with a detailed view of key price levels and market behavior. It combines several analytical methods—including internal and external structure analysis, fair value gaps, order blocks, breaker blocks, rejection blocks, premium discount zones, equal levels, directional liquidity grabs, and trend meters —to help users better understand areas of support and resistance, potential turning points, and liquidity events in the market.
Key Components and Their Functions
Market Structure Analysis
Internal and External Structure : The indicator evaluates market structure on two levels. The internal analysis focuses on immediate price action (e.g., recent support/resistance and swing points), while the external analysis uses a higher timeframe to provide context. This dual approach helps to confirm the strength of key levels by comparing short-term moves with the broader market trend.
Break of Structure (BoS) and Change of Character (CHoCH) : These signals highlight moments when the market shifts its behavior. A BoS indicates that a previous level of support or resistance has been overcome, while a CHoCH signals a change in the market’s character. Both are marked clearly on the chart using distinct color codes.
Break of Structure + (BoS+) and Change of Character + (CHoCH+) : These signals highlight moments when the market shifts its behavior and is confirmed by prior price action. A BoS + indicates that a previous level of support or resistance has been overcome, while price action achieves higher highs and higher lows (resistance break) or lower highs and lower lows (support break). CHoCH + signals a change in the market’s character when supported by prior price action - lower highs for a support break and higher lows for a resistance break.
BoS and CHoCH
The image above shows BoS and CHoCH identified on the price chart, and explains what each signifies.
A Break Of Structure (BoS) occurs when price decisively moves beyond a previously established support or resistance level. It indicates that the current trend or market pattern is being challenged, and the market may be ready to change direction.
A Change of Character (CHoCH) describes a shift in how the market behaves. A CHoCH occurs when, in an uptrend, a previously established support level breaks, or in a downtrend, a previously established resistance level breaks.
This break indicates that the market's typical structure is shifting, suggesting that the current trend may be losing its strength and that a reversal or a new trend could be developing.
CHoCH+
The image above explains CHoCH+ and how it forms, while highlighting an instance where a downside CHoCH+ formed following lower highs.
A Change of Character + (CHoCH+) describes a shift in how the market behaves that is supported by prior price action. For support breaks, price must form lower highs before breaking support.
The image above explains CHoCH+ for resistance breaks, while highlighting an instance where a resistance point broke that was supported by prior price action.
BoS+
The image above explains BoS+ and how it forms, while highlighting an instance where an upside BoS+ formed following higher highs and higher lows.
A BoS+ resistance break requires higher highs and higher lows prior to the resistance point being closed over.
The image above explains BoS+ support break, while highlighting an instance where a downside BoS+ formed following lower highs and lower lows.
A BoS+ support break requires lower highs and lower lows prior to the support point being closed under.
Future BoS and CHoCH
Radi IQ also displays where the next BoS and CHoCH points are located.
The image above shows the feature in action. With this, traders will always know where the next key support/resistance breakpoints are before they actually occur.
Fair Value Gaps (FVG)
The indicator identifies gaps in the price where little or no trading occurred—known as fair value gaps. These gaps can act as temporary support or resistance and may indicate areas where the market is likely to correct. FVGs are displayed with clear color gradients that differentiate between upward and downward gaps.
The image above shows an identified upside FVG. In the image, the identified upside FVG acted as a support point for price.
The image above shows an identified downside FVG. In the image, the identified downside FVG acted as a resistance point for price.
Low Volume FVG
In addition to identifying trading FVGs - Radi IQ can also specifically detect low volume fair value gaps. Ideally, these fair value gaps will form inside a low volume node on a volume profile.
Low volume node FVGs are important because these are areas where very little trading occurred and is confirmable, indicating an imbalance in supply and demand. Since few trades took place there, the market often moves quickly through these zones when revisited, which can lead to rapid price changes. This "gap" in trading activity can serve as a signal for potential reversals or fast moves, offering opportunities to enter or exit positions based on expected market behavior.
The image above shows identified FVGs that formed on low volume.
Large Area FVGs
Radi IQ is also capable of filtering out “inconsequential” FVGs. With this, Radi IQ can be enabled to only mark FVGs that cover a wide price range.
The image above shows the feature enabled, and all identified FVGs formed with a wide price range.
Large Area FVGs and Low Volume FVGs Combined
Traders can also enable Radi IQ to only mark FVGs that form on low volume and have a wide price range - allowing traders to only identify the highest quality FVGs on the chart.
Order Blocks and Premium Discount Zones
Order Blocks: Radi IQ detects areas where large orders have previously been placed by institutional traders. These blocks can act as strong levels of support or resistance, and the indicator marks bullish and bearish order blocks with dedicated colors.
What is an order block?
Order blocks are clusters of orders that institutions have executed to enter or exit a market position. They typically form when there is a period of consolidation before a significant move. For example, the last bullish candle before a strong down move may indicate a supply order block, while the last bearish candle before a sharp rally might be considered a demand order block.
Why They Form:
Institutions don’t trade in small, sporadic amounts; they accumulate or distribute large volumes of an asset. To avoid slippage and minimize market impact, they execute these orders over a zone rather than at a single price point. This creates a recognizable “block” on the chart.
Order Block Identification Types
Strength Score
The “Strength Score” order block detection mode is a TradingIQ proprietary ranking system for identified order blocks.
Purpose
The purpose of the “Strength Score” ranking system is to determine the “strength” or significance of an order block and rate the zone’s likelihood to act as support/resistance when retested in the future.
The scoring system ranks from 0 - 10, with “0” indicating a “weak” score or low likelihood of acting as a key support/resistance level when retested in the future.
A rating of “5” indicates a “moderate” score, indicating that the order block has a moderate likelihood of acting as a key support/resistance level when retested in the future.
A rating of “10” indicates a “strong” score, indicating that the order block has a strong likelihood of acting as a key support/resistance level when retested in the future.
How It Works
The score is calculated by examining the price move following the formation of an order block. The stronger the price move after an order block forms - the higher the Strength Score.
The image above shows a bearish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
The image above shows a bullish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
Volume-Based
The volume-based order block detection method detects traditional order blocks, but goes one step further by identifying the highest concentration point of volume for the bar and drawing the order block around this concentration point.
Key features when using the volume-based order block detection method:
The top of the order block is anchored to the top of the highest volume concentration point of the bar
The bottom of the order block is anchored to the bottom of the highest volume concentration point of the bar
The total volume that went into creation of the order block is displayed on the chart
The total volume of the order block is recorded as a percentage relative to the total volume for all order blocks on the chart
The image above shows the detection method in action.
Breaker Blocks
A breaker block is a specific type of order block that gains significance when price breaks through it and then often retests the level as a new area of support or resistance. Essentially, it’s a zone where, after the initial break, the previous level (which once acted as strong support or resistance) flips roles. For example, in an uptrend, if the price falls below a key support level, that level can become a breaker block and act as resistance if the price tries to move back up. Conversely, in a downtrend, a broken resistance level can serve as new support. Traders monitor breaker blocks because they often mark a shift in market sentiment and can provide potential entry or exit points once the market re-engages with these levels.
The image above shows a breaker block above price acting as resistance.
The image above shows a breaker block below price acting as support.
Rejection Blocks
A rejection block is a price area where the market shows a strong unwillingness to move beyond a certain level. This typically happens when price approaches a specific level but then is quickly rejected, leading to a bounce in the opposite direction. In other words, a rejection block forms when traders' orders create a barrier, causing the price to reverse rather than break through. Traders watch these areas closely, as they often signal a strong concentration of supply or demand that could provide potential entry or exit points for trades.
The image above shows both a verified upside rejection block acting as resistance, and an untested downside rejection block.
Rejection blocks are expected to function as strong support/resistance points when retested in the future.
Premium Discount Zones
Premium Discount Zones : These zones reflect areas where price is trading above (premium) or below (discount) a fair value range. They help traders gauge whether the current market price is relatively high or low compared to historical averages.
Premium Discount Zones account for recent swing highs and lows to calculate a fair value along with discount and premium prices over an intermediate time window.
The image above shows the premium and discount price zones in action.
Equal Levels
The indicator also tracks and highlights equal levels, which occur when the market repeatedly tests the same price levels. Equal levels can reinforce the significance of a support or resistance area and are represented by their own set of color markers.
The image above shows Radi IQ distinguishing equal highs and equal lows.
Equal Highs
When you see two or more highs that are approximately the same, it suggests that the market is repeatedly rejecting attempts to push higher. This signals a strong resistance level where sellers (or stop-hunters) are active.
Equal Lows
Similarly, consecutive lows at the same level indicate strong support, where buyers step in consistently, preventing further decline.
Strong Highs and Lows
Strong High
A strong high is a price level where the market repeatedly fails to push higher. Typically, it’s characterized by:
Rejection: Price approaches the high but then reverses sharply, often leaving long upper wicks on the candlestick chart.
Consolidation: Multiple bars might show highs that are very close in value (often termed "equal highs"), indicating a well-established resistance zone.
Market Sentiment: This pattern suggests that sellers are actively defending that level, preventing further upward movement.
Strong Lows
Conversely, a strong low is a price level where the market repeatedly fails to break lower. It is identified by:
Bounce Back: Price touches the low and then rebounds sharply, often leaving long lower wicks.
Consistency: Multiple lows occur around the same level (sometimes referred to as "equal lows"), marking a solid support area.
Market Sentiment: This indicates that buyers are stepping in at that level, absorbing selling pressure and supporting the price.
The image above shows Radi IQ detecting both a strong high and strong low, while the detected strong low acts as support when retested.
Liquidity Grabs
Liquidity grabs occur when the market temporarily moves to absorb liquidity, often triggering stop-loss orders and leading to rapid price movements. Radi IQ flags these events by identifying conditions where price moves against recent pivots, helping traders spot potential liquidity-related reversals or breakouts.
The image above shows Radi IQ identifying both an upside liquidity grab and a downside liquidity grab.
Upside Liquidity Grab (Bearish)
An upside liquidity grab happens when the price moves above a well-known resistance area or recent high. This move is often short-lived.
Many traders place stop-loss orders or pending buy orders just above resistance levels. Institutional players may intentionally push price upward to trigger these orders, thereby “grabbing” the liquidity available at that level.
Downside Liquidity Grab (Bullish)
A downside liquidity grab is the mirror image: the price briefly dips below a key support level or recent low.
Traders often place stop-loss orders or pending sell orders just below support levels. An intentional drop below this support can trigger these stops, allowing institutional players to capture liquidity.
Multi-Timeframe Analysis and Swings
By using data from different timeframes, Radi IQ offers a broader perspective on market trends. It highlights significant swing highs and swing lows, providing visual cues that indicate the market’s directional bias. This feature assists traders in identifying both short-term opportunities and long-term trends.
The image above shows Radi IQ detecting higher swings and lower swings.
IQ Meters / Fibometer
IQ Meters (Fibometers) are a proprietary TradingIQ tool that allows traders to easily identify the highs and lows of the current trend and where current price is relative to these points.
The image above depicts the IQ Meters—an exclusive TradingIQ tool designed to help traders evaluate trend strength and retracement opportunities.
When the lower timeframe Zig Zag IQ and the higher timeframe Zig Zag IQ are out of sync (i.e., one is uptrending while the other is downtrending, with no active positions), the meters display a neutral color as shown in the image.
The key to using these meters is to identify trend unison and pinpoint key trend retracement entry opportunities. Fibonacci retracement levels for the current trend are interlaced along each meter, and the current price is converted to a retracement ratio of the trend.
These meters can mathematically determine where price stands relative to the larger and smaller trends, aiding in identifying entry opportunities.
The top of each meter indicates the highest price achieved during the current price move.
The bottom of each meter indicates the lowest price achieved during the current price move.
When both the larger and smaller trends are in sync and uptrending, or when a long position is active, the IQ meters turn green, indicating uptrend strength.
When both meters are green, it indicates uptrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
When both trends are in sync and downtrending, or when a short position is active, the IQ meters turn red, indicating downtrend strength.
When both meters are red, it indicates downtrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
Summary
Radi IQ serves as a robust, data-driven tool for traders who seek a deeper understanding of market structure. By integrating internal and external analysis, fair value gap detection, order block identification, premium discount zoning, equal level tracking, liquidity grabs and much more into one indicator, it offers a multi-layered view of the market. This helps traders not only recognize potential turning points and areas of market stress but also manage risk more effectively and plan their trades with greater precision. The indicator’s clear visual representation and dynamic updates make it a practical addition to any trader’s toolkit.
Professional MSTI+ Trading Indicator"Professional MSTI+ Trading Indicator" is a comprehensive technical analysis tool that combines over 20 indicators to generate high-quality trading signals and assess market sentiment. The script integrates standard indicators (MACD, RSI, Bollinger Bands, Stochastic, Simple Moving Averages, and Volume Analysis) with advanced components (Squeeze Momentum, Fisher Transform, True Strength Index, Heikin-Ashi, Laguerre RSI, Hull MA) and further includes metrics such as ADX, Chaikin Money Flow, Williams %R, VWAP, and EMA for in-depth market analysis.
Key Features:
Multiple Presets for Different Trading Styles:
Choose from optimal configurations like Professional, Swing Trading, Day Trading, Scalping, or Reversal Hunter. Note that the presets may not work perfectly on all pairs, and manual calibration might be required. This flexibility allows you to fine-tune the settings to align with your unique strategies and signals.
Multi-Layered Signal Filtering:
Filters based on trend, volume, and volatility help eliminate false signals, enhancing the accuracy of market entries.
Comprehensive Fear & Greed Index:
The indicator aggregates data from RSI, volatility, momentum, trend, and volume to gauge overall market sentiment, providing an additional layer of market context.
Dynamic Information Panel:
Displays detailed status updates for each component (e.g., MACD, RSI, Laguerre RSI, TSI, Fisher Transform, Squeeze, Hull MA, etc.) along with a visual strength bar that represents the intensity of the trading signal.
Signal Generation:
Buy and sell signals are generated when a predefined number of conditions are met and confirmed over multiple bars. These signals are clearly displayed on the chart with arrows, making it easier to spot potential entry and exit points.
Alert Setup:
Built-in alert conditions allow you to receive real-time notifications when trading signals are generated, helping you stay on top of market movements.
"Professional MSTI+ Trading Indicator" is designed to enhance your trading strategy by providing a multi-faceted market analysis and an intuitive visual interface. While the presets offer a robust starting point, they may require manual calibration on certain pairs, giving you the flexibility to configure your own unique strategies and signals.
IQ Liquidation Heatmap [TradingIQ]Introducing "IQ Liquidation Heatmap".
IQ Liquidation Heatmap is a proprietary indicator designed to identify and display price zones where large numbers of crypto position liquidations are likely to occur. It presents both current liquidation zones—areas where a cascade of liquidations would be triggered if the price is reached—and historical liquidation zones, where such events have taken place before.
Why Liquidations and Liquidation Cascades Are Important
Liquidation cascades are important because they can lead to rapid and significant price moves in the market. When many traders have set stop-loss orders or are highly leveraged at similar price levels, a move that hits these zones can force a large number of positions to close at once. This mass closing of positions not only accelerates the price movement but can also trigger further liquidations in a self-reinforcing loop.
Understanding where these cascades occur helps traders recognize potential support and resistance levels. It also provides insights into where market participants are most vulnerable, allowing for better risk management and more informed trading decisions. In short, liquidation cascades highlight key areas of market stress that can lead to increased volatility and opportunities for those prepared to act.
In short, if a lot of short positions are liquidated simultaneously, an upside liquidation cascade can occur. During an upside liquidation cascade, price will increase intensely to the upside with high volatility.
If a lot of long positions are liquidated simultaneously, a downside liquidation cascade can occur. During a downside liquidation cascade, price will decrease intensely to the downside with high volatility.
Knowing where these liquidation cascades can occur is invaluable information for crypto traders.
What IQ Liquidation Heatmap Does
IQ Liquidation Heatmap visually maps price levels that have seen or may see liquidation cascades. In plain terms, it shows you where many stop-losses or leveraged positions have been triggered in the past and where similar events can occur in the future. By highlighting these zones, the indicator helps you understand areas of market stress that could lead to rapid price movements.
The image above shows a historical liquidation cascade occurring. Clustered bubbles show large amounts of liquidations occurring - the more bubbles and the brighter they are, the stronger the liquidation cascade. During a liquidation cascade, there is a higher chance that a strong downtrend or uptrend will continue.
Current Liquidation Levels
The image above explains current liquidation levels.
Current liquidations levels are price areas where a large number of positions will be liquidated. If a liquidation level is above the current price, then it is considered a price zone where shorts will be liquidated. If a liquidation level is below the current price, then it is considered a price zone where longs will be liquidated.
In this image, bright green levels represent price areas where the highest amount of positions will be liquidated, while dark purple levels represent price areas where the lowest amount of positions will be liquidated.
An active (current) liquidation level will extend to the right beyond the current price because they have not yet been hit.
When strong liquidation levels (green - bright green) are hit and are above price, it is expected that an upside liquidation cascade will occur. When strong liquidations are hit and are below price, it is expected that a downside liquidation cascade will occur.
Historical Liquidation Levels
The image above explains historical liquidation levels.
Historical liquidation levels stop at the bar where they are hit, so you can see how price responded to hitting a key liquidation level.
In this image, bright green levels represent price areas where the highest amount of positions will be liquidated, while dark purple levels represent price areas where the lowest amount of positions will be liquidated.
If price moves up into a liquidation level, then shorts are being liquidated. If price moves down into a liquidation level, then longs are being liquidated. In the image, we can see that when bright green liquidation levels were hit - a liquidation cascade occurred. During this cascade, price continued to move strongly to the downside with high volatility.
During the uptrend after the downtrend, we can see some bright green liquidation levels were also hit - causing an upside liquidation cascade that resulted in strong, volatile upside price moves.
Gradient Bar
The image above explains the liquidations gradient bar.
The bar located on the right of your chart shows what colors correspond to low, medium, and high liquidation levels.
In this image, bright green means the liquidation level is strong, while dark purple means the liquidation level is weak. By extension, we would expect liquidation cascades or strong price moves to more likely occur when a cluster of bright green liquidation zones are hit. Additionally, we would expect a small reaction (or no reaction at all) when dark purple liquidation zones are hit.
Colors are customizable.
Liquidation Cluster Bar
The image above explains the liquidation cluster bar.
The liquidation cluster bar aggregates liquidation zones and shows the approximate price areas where the highest number of liquidation points are located.
In this image, the green portion of the bar represents where the largest number of traders will be liquidated in aggregate. While the purple portions of the bar shows where the smallest number of traders will be liquidated in aggregate.
This bar is useful for clustering liquidations zones across larger price areas to see where the highest number of traders are likely to be liquidated.
Concept Behind IQ Liquidation Heatmap
The basic idea is simple: in crypto markets, when price reaches certain levels, many traders’ positions can be liquidated at once, causing sharp moves in price. These zones are not random. They are built on historical price data and statistical analysis of past liquidation events. IQ Liquidation Heatmap captures this information and presents it in an easy-to-read format.
Key points include:
Current Liquidation Zones: These are the areas where, if the price moves into them, a high number of liquidations could occur.
Historical Liquidation Zones: These show where liquidation cascades have happened in the past, offering context on how the market has behaved under stress.
Key Features of IQ Liquidation Heatmap
Real-Time and Historical Data:
The indicator combines current market conditions with historical liquidation events. It updates dynamically to reflect real-time data while also showing past liquidation zones.
Visual Heatmap:
The display uses color gradients to represent the intensity of liquidation activity. Brighter or more intense colors indicate zones with a higher likelihood of triggering liquidations, while darker colors represent areas with lower activity.
User-Friendly Interface:
IQ Liquidation Heatmap is designed to be simple and straightforward. The visual output clearly marks the price levels of interest, making it easy for traders to see where liquidations might occur.
Proprietary Calculation:
The data behind the indicator is calculated using proprietary methods that consider historical price action, statistical ranges, and liquidity distribution. This means the indicator adapts to the specific characteristics of different crypto assets and timeframes.
Dynamic Updates:
The indicator recalculates its output in real time as new price data comes in. This ensures that the displayed liquidation zones are always current and reflect the latest market conditions.
How IQ Liquidation Heatmap Works
Data Collection:
IQ Liquidation Heatmap gathers historical price data as well as data on liquidation events. This data is used to identify key price ranges and levels where liquidations have previously occurred.
Statistical Analysis:
The indicator applies statistical methods—such as calculating medians and percentiles—to determine the significance of each price range. This analysis helps to rank the importance of various liquidation zones.
Liquidity Clustering:
Areas with a high concentration of liquidations are identified by examining how many positions or stop orders are clustered at specific price levels. These clusters are then represented on the chart using a heatmap style.
Visual Mapping:
The calculated data is overlaid onto the trading chart. Graphical elements like lines, boxes, or filled regions mark the identified liquidation zones. Color gradients help to differentiate between zones with high versus low liquidation risk.
Real-Time Recalculation:
As new price data becomes available, IQ Liquidation Heatmap continuously updates its analysis. This ensures that the indicator remains relevant throughout the trading session and can quickly adjust if market conditions change.
Using IQ Liquidation Heatmap
Traders can use IQ Liquidation Heatmap as an additional tool to support their trading decisions. Here are some practical applications:
Trade Entry And Exit Planning:
The visual cues provided by the indicator can serve as reference points for planning entries and exits. When the price nears a zone known for triggering liquidations, traders can adjust their strategies accordingly.
Risk Management:
By identifying key liquidation zones, traders can better manage risk. Knowing where a liquidation cascade is likely to occur helps in setting more effective stop-loss orders and managing overall exposure.
Market Structure Analysis:
The historical data offered by IQ Liquidation Heatmap gives insight into how the market has reacted in the past during periods of stress. This historical perspective can help in understanding broader market trends and potential future movements.
Summary
IQ Liquidation Heatmap is a straightforward indicator that provides clear visual information about price levels where liquidation cascades have occurred or are likely to occur. By merging historical data with real-time updates and proprietary liquidity analysis, it offers traders a neutral and data-driven way to understand areas of potential market stress for entries and exits. The indicator is simple to use and does not require complex adjustments, making it suitable for traders looking for clear visual cues in the crypto market.
By incorporating IQ Liquidation Heatmap into your analysis toolkit, you can gain a better understanding of key price zones, support effective risk management, and identify liquidation cascades before they occur and potentially identify breakouts before they occur.
Eclipse Dates IndicatorThis TradingView indicator displays vertical lines on eclipse dates from 1980 to 2030, with comprehensive filtering options for different types of eclipses.
Features
Date Range: Covers 221 eclipse events from 1980 to 2030
Eclipse Types: Filter by Solar and/or Lunar eclipses
Eclipse Subtypes: Filter by Total, Partial, Annular, Penumbral, and Hybrid eclipses
Year Range Selection: Focus on specific decades (1980-1990, 1990-2000, etc.)
Visual Customization: Separate styling for Solar and Lunar eclipses
Line Appearance: Customize color, style, and width
Label Options: Show/hide labels with customizable appearance
Eclipse Types
Show Solar Eclipses: Toggle visibility of Solar eclipses
Show Lunar Eclipses: Toggle visibility of Lunar eclipses
Eclipse Subtypes
Show Total Eclipses: Toggle visibility of Total eclipses
Show Partial Eclipses: Toggle visibility of Partial eclipses
Show Annular Eclipses: Toggle visibility of Annular eclipses
Show Penumbral Eclipses: Toggle visibility of Penumbral eclipses
Show Hybrid Eclipses: Toggle visibility of Hybrid eclipses
Visual Settings
Solar/Lunar Eclipse Line Color: Set the color for eclipse lines
Solar/Lunar Eclipse Line Style: Choose between solid, dashed, or dotted lines
Solar/Lunar Eclipse Line Width: Set the width of eclipse lines
Solar/Lunar Label Text Color: Set the color for label text
Solar/Lunar Label Background Color: Set the background color for labels
General Settings
Show Eclipse Labels: Toggle visibility of eclipse labels
Label Size: Choose between tiny, small, normal, or large labels
Extend Lines to Chart Borders: Toggle whether lines extend to chart borders
Year Range: Filter eclipses by decade (1980-1990, 1990-2000, etc.)
Usage Tips
For optimal visualization, use daily or weekly timeframes
When analyzing specific periods, use the Year Range filter
To focus on specific eclipse types, use the type and subtype filters
For cleaner charts, you can hide labels and only show lines
Customize colors to match your chart theme
Data Source
Eclipse data is sourced from NASA's Five Millennium Catalog of Solar Eclipses and includes both solar and lunar eclipses from 1980 to 2030.
Gold Futures vs Spot (Candlestick + Line Overlay)📝 Script Description: Gold Futures vs Spot
This script was developed to compare the price movements between Gold Futures and Spot Gold within a specific time frame. The primary goals of this script are:
To analyze the price spread between Gold Futures and Spot
To identify potential arbitrage opportunities caused by price discrepancies
To assist in decision-making and enhance the accuracy of gold market analysis
🔧 Key Features:
Fetches price data from both Spot and Futures markets (from APIs or chart sources)
Converts and aligns data for direct comparison
Calculates the price spread (Futures - Spot)
Visualizes the spread over time or exports the data for further analysis
📅 Date Created:
🧠 Additional Notes:
This script is ideal for investors, gold traders, or analysts who want to understand the relationship between the Futures and Spot markets—especially during periods of high volatility. Unusual spreads may signal shifts in market sentiment or the actions of institutional players.
