4H HOD/LOD Checkpoint Analysis4H HOD/LOD Checkpoint Analysis - Detailed User Guide
OVERVIEW
This indicator is a data-driven probability framework for NQ Futures traders that predicts High-of-Day (HOD) and Low-of-Day (LOD) placement based on statistical analysis of 3,136+ trading days (2013-2025). Unlike traditional indicators that rely on technical signals, this tool uses checkpoint-based state analysis with zero forward-looking bias to provide real-time probabilities of whether the daily range is complete.
⚠️ IMPORTANT: This indicator is specifically designed for NQ FUTURES ONLY. All probabilities, patterns, and statistics were derived from a 10+ year historical dataset of NQ 1-minute bars. Using this on other instruments will produce inaccurate results.
CORE CONCEPT: CHECKPOINT METHODOLOGY
What is a Checkpoint?
A checkpoint occurs when a 4-hour candle closes. At this moment, the indicator "locks" the current market state and calculates probabilities for the remainder of the trading day. The key innovation is that state never changes after locking - probabilities remain constant throughout the session until the next checkpoint.
The Six 4-Hour Candles (EST):
6PM (18:00-22:00) - Evening/Globex open
10PM (22:00-02:00) - Asia session
2AM (02:00-06:00) - Early London
6AM (06:00-10:00) - Late London + NY Open
10AM (10:00-14:00) - NY Morning
2PM (14:00-17:00) - NY Afternoon (3 hours only)
Five Checkpoints:
10PM Checkpoint - After 6PM closes
2AM Checkpoint - After 10PM closes
6AM Checkpoint - After 2AM closes
10AM Checkpoint - After 6AM closes (most critical)
2PM Checkpoint - After 10AM closes (highest conviction fade signals)
HOW IT WORKS: THE THREE-FACTOR STATE SYSTEM
At each checkpoint, the indicator evaluates three critical factors to determine probability:
1. ELIMINATIONS (Quantity)
An "elimination" occurs when a candle trades beyond a previous candle's high or low, effectively removing that candle from contention for HOD/LOD.
Example at 10AM Checkpoint:
6PM high = 18,000
10PM high = 18,050 (eliminates 6PM high)
2AM high = 18,100 (eliminates 10PM high)
6AM high = 18,075 (does NOT eliminate 2AM high)
Result: 2 eliminations
The number of eliminations indicates trend strength:
0 eliminations = Range-bound, high probability extremes already set
1-2 eliminations = Moderate trend
3-4 eliminations = Strong trend day, range likely to extend
2. STRUCTURE (Pattern Type)
The indicator distinguishes between two elimination patterns:
Sequential: Eliminations occur in order (6pm → 10pm → 2am → 6am → 10am)
Indicates smooth, consistent trend
Example: 10pm eliminates 6pm, then 2am eliminates 10pm (sequential)
Skip: Eliminations skip candles
Indicates choppy/reversal behavior
Example: 2am eliminates 6pm but NOT 10pm (skip pattern)
Why it matters: Skip patterns show 2X probability differences compared to sequential patterns. At 10AM checkpoint with 2 eliminations, skip pattern shows 64% participation rate vs 36% for sequential pattern with previous survived.
3. PREVIOUS CANDLE STATUS
Did the immediately prior candle get eliminated?
Eliminated: Previous candle's high/low was taken out
Indicates relentless trend
Higher probability of continuation
Survived: Previous candle's high/low still intact
Indicates trend pause
Higher probability of mean reversion or range completion
Critical insight: High and low are tracked separately. At 2AM checkpoint, 10PM might have eliminated 6PM high (relentless uptrend) but NOT eliminated 6PM low (low survived). This creates different probabilities for HOD vs LOD.
VISUAL ELEMENTS
4-Hour Candle Boxes
Each 4H candle is displayed as a colored box showing its range:
Gray = 6PM (evening)
Blue = 10PM (Asia)
Purple = 2AM (early London)
Orange = 6AM (London + NY Open) - THE CURVE SESSION
Teal = 10AM (NY morning) - THE MONEY SESSION
Red = 2PM (NY afternoon) - THE FADE SESSION
HOD/LOD Lines
Black horizontal lines extend from current HOD/LOD with labels showing:
Which candle set the extreme
Current price level
THE CHECKPOINT TABLE EXPLAINED
Table Header:
Shows current checkpoint (e.g., "🎯 10AM CHECKPOINT") or "⏳ PRE-CHECKPOINT" if between checkpoints.
Main Metrics (Side-by-Side Comparison):
The table displays HOD and LOD separately in two columns because they can have different patterns:
METRIC
HODLOD Eliminations
Number of candles eliminated so far for highs
Number of candles eliminated so far for lows
Structure
Sequential or Skip pattern for highs
Sequential or Skip pattern for lows
Prev Candle
Was previous candle's high eliminated or did it survive?
Was previous candle's low eliminated or did it survive?
Pattern
Combined interpretation: Relentless/Paused/Skip/Early
Combined interpretation: Relentless/Paused/Skip/Early
Color Coding:
Structure Row:
White = Sequential (smooth trend)
Orange = Skip (choppy/reversal)
Previous Candle Row:
Red = Eliminated (relentless trend continuing)
Blue = Survived (trend paused)
Pattern Row:
Red = Relentless (previous eliminated + sequential = strong trend)
Blue = Paused (previous survived + sequential = trend pause)
Orange = Skip/Chop (skip pattern = reversal likely)
Gray = Early (0-1 eliminations, too early to tell)
Probability Section:
Prob Already In: Percentage chance that HOD/LOD has already been set
Color coding:
Green (>75%) = High confidence extreme is in, FADE
Yellow (45-75%) = Moderate confidence
Red (<45%) = Low confidence extreme is in, CONTINUATION likely
Sample Size: Shows how many historical occurrences match this exact state (n=XXX)
Larger samples = higher confidence
Most common states have n=500-2,000+
Current: Which candle currently holds HOD/LOD
Pattern Guide Section:
Appears when you have 2+ eliminations. Provides interpretation:
📈 Paused: Trend has paused, 2pm more likely to set extreme
📈 Relentless: Breaking higher/lower, continuation expected
📈 Skip/Chop: Choppy pattern, next session likely
Same for lows with 📉 symbol.
PRACTICAL TRADING EXAMPLES
Example 1: High Conviction Fade Setup
State at 10AM Checkpoint:
Eliminations: 0 (both HOD/LOD)
Structure: None (no eliminations yet)
Prev Candle: Survived
Table shows:
HOD Prob Already In: 68.9% (n=582)
LOD Prob Already In: 73.6% (n=785)
Interpretation: Range is likely complete. Fade extremes. With 0 eliminations and 70%+ probability, this is a high-conviction mean reversion signal.
Example 2: Strong Continuation Signal
State at 10AM Checkpoint:
Eliminations: 3 (both HOD/LOD)
Structure: Sequential
Prev Candle: Eliminated (relentless)
Table shows:
HOD Prob Already In: 29.8% (n=1,758)
LOD Prob Already In: 34.6% (n=1,451)
Pattern: 📈 Relentless / 📉 Relentless
Interpretation: Strong trend day. Only 30-35% chance range is complete. Look for breakouts in direction of trend. 10AM and 2PM likely to extend range.
Example 3: Pattern Structure Edge
State at 10AM Checkpoint:
Eliminations: 2 (HOD)
Structure: Skip (orange background)
Prev Candle: Eliminated vs Alternative State:
Eliminations: 2 (HOD)
Structure: Sequential
Prev Candle: Survived
Result: Skip pattern shows 64% chance 10AM participates vs 36% for sequential+survived. Skip pattern = 2X more likely to see 10AM high. This structural edge is unique to this indicator.
Example 4: Different HOD vs LOD Patterns
State at 10AM Checkpoint:
HOD: 2 eliminations, Sequential, Previous Eliminated (Relentless) = 46.7% in
LOD: 2 eliminations, Skip, Previous Eliminated (Choppy) = 48.4% in
Interpretation: Highs show relentless uptrend but lows show choppy behavior. This divergence suggests potential for upside continuation but with volatility. Not a clean trend day.
KEY CHECKPOINT STATISTICS (DERIVED FROM 10-YEAR DATASET)
10PM Checkpoint (After 6PM):
Very early in day
13.5% HOD in, 21.3% LOD in
Most likely outcome: Range extends into 6AM/10AM
2AM Checkpoint (After 10PM):
Still early
With 0 elims: 22-31% in (balanced)
With 1 elim: 8-12% in (strong trend signal)
6AM Checkpoint (After 2AM) - Critical Decision Point:
With 0 elims: 40-47% in (balanced, could go either way)
With 2 elims: 18-22% in (strong trend into 6AM/10AM)
Most likely outcome: 10AM sets extremes (~38-40%)
10AM Checkpoint (After 6AM) - Highest Conviction:
With 0 elims: 69-74% in → FADE (high confidence)
With 3 elims: 30-35% in → BUY/SELL continuation
This is THE money checkpoint for high-probability setups
2PM Checkpoint (After 10AM) - Maximum Fade Conviction:
With 0-3 elims: 67-95% in → FADE strongly
With 4 elims: 49-61% in (monster trend, weaker fade)
2PM is primarily a mean reversion session
UNDERSTANDING THE UNDERLYING DATA
All probabilities are derived from analysis of:
Instrument: NQ Futures (E-mini NASDAQ-100)
Timeframe: 1-minute bars
Period: January 2013 - December 2025
Sample: 3,136+ complete trading days
Methodology: Real-time checkpoint analysis with zero forward-looking bias
Why NQ-Specific?
Each futures contract has unique:
Session characteristics (6AM in NQ shows 60-64% curve behavior, other sessions differ)
Timing patterns (NQ's 10AM session has 67-74% immediate takeouts)
Volatility profiles (NQ 2PM shows 56% bullish bias vs ES shows different bias)
Using this indicator on ES, RTY, or other instruments will produce inaccurate results because the probability tables are NQ-specific.
ORIGINALITY & INNOVATION
What Makes This Indicator Unique:
Zero Forward-Looking Bias: State locks at checkpoint moments. Traditional indicators recalculate continuously, introducing bias. This indicator freezes probabilities at the exact moment a 4H candle closes.
Three-Factor State System: Combines elimination count, structure pattern, and previous candle status. Most indicators only track one dimension. This multi-factor approach provides 2X+ probability differentials.
Separate HOD/LOD Tracking: Highs and lows can have different patterns simultaneously (relentless high with choppy low). This indicator tracks them separately for precision.
Pattern Structure Analysis: Distinguishes between sequential and skip patterns, a concept not found in standard indicators. Skip patterns show mean reversion while sequential shows continuation.
10+ Year Statistical Foundation: Every probability is backed by hundreds to thousands of historical occurrences (sample sizes shown in table). Not based on theories or assumptions.
Checkpoint-Specific Probabilities: Different checkpoints have different probability profiles. 10AM checkpoint with 0 eliminations = 70%+ fade. 6AM checkpoint with same state = 40%+ fade. Context matters.
HOW TO USE THIS INDICATOR
Step 1: Wait for Checkpoint
The table will show "⏳ PRE-CHECKPOINT" until a 4H candle closes. Probabilities are only valid at checkpoint moments.
Step 2: Read the State
Check the three factors:
How many eliminations?
Sequential or skip?
Previous candle eliminated or survived?
Step 3: Check Probability
Look at "Prob Already In" percentage:
>75% (Green) = High confidence extreme is set, fade
45-75% (Yellow) = Moderate confidence, use other confirmation
<45% (Red) = Low confidence extreme is set, continuation likely
Step 4: Check Sample Size
Larger sample (n=1,000+) = higher confidence
Smaller sample (n=50-200) = use caution, edge is real but less robust
Step 5: Consider Pattern
Read the pattern guide:
Relentless = trend continuing
Paused = trend stalled, mean reversion
Skip/Chop = reversal/range likely
Step 6: Compare HOD vs LOD
If both show similar patterns = cleaner signal
If divergent patterns = complex day, be cautious
BEST PRACTICES
Focus on 10AM and 2PM checkpoints - These have the highest conviction signals
Combine with price action - Don't fade blindly at 90% probability if price is breaking out strongly
Larger samples = better edges - Prioritize setups with n=500+
Watch for pattern divergence - When HOD and LOD show different patterns, expect complexity
Remember session characteristics:
6AM = THE CURVE SESSION (60-64% mean reversion when Q2 breaks Q1)
10AM = THE MONEY SESSION (67-74% immediate takeouts, highest conviction)
2PM = THE FADE SESSION (67-95% extremes already in)
SETTINGS
Show 4H Candle Boxes - Display colored boxes for each 4H candle
Show HOD/LOD Lines - Display horizontal lines at current extremes
Show Checkpoint Analysis - Display probability table
Table Position - Choose where to place the checkpoint table
Table Size - Tiny/Small/Normal
Colors - Customize box colors for each session
LIMITATIONS & DISCLAIMERS
NQ FUTURES ONLY - Do not use on other instruments
Not a standalone system - Use as confluence with your strategy
Historical data - Past performance doesn't guarantee future results
Sample size variance - Some states have smaller samples, use judgment
Requires understanding - Read this guide fully before trading with this tool
FINAL NOTES
This indicator represents 10+ years of NQ futures data distilled into actionable, real-time probabilities. The checkpoint methodology ensures zero forward-looking bias, while the three-factor state system provides granular edge that traditional indicators miss.
Remember: This tool provides probabilities, not certainties. Trade with proper risk management, and use this as one input in your decision-making process.
Statistics
Historical Returns [BigBeluga]🔵 OVERVIEW
The Historical Returns indicator visualizes daily and monthly return data to help traders assess seasonal performance and volatility behavior. It provides a clean and informative dashboard showing the current month’s daily return bubbles, monthly return curves, and a snapshot of the current month and year performance. This tool is ideal for spotting recurring return patterns and understanding the broader profitability context of a symbol.
🔵 CONCEPTS
Daily Return Bubbles: Each trading day is analyzed for its return percentage, and plotted as a bubble with size proportional to the return magnitude.
Monthly Performance Curves: Average or cumulative returns are calculated and plotted to show how the current month is performing relative to historical averages.
Current Year Return: Current year performance as a single return value, giving traders context on long-term profitability.
Current Month Average Return: Current month average performance as a single return value, giving traders context on short-term profitability.
Extreme Return Labels: Optionally highlights daily returns above +4% or below -4% with labeled percentages for spike recognition.
🔵 FEATURES
Shows daily return bubbles (1%–7%+), color-coded by direction.
Labels monthly returns with the month name and percentage value.
Displays a performance dashboard with:
Daily return heatmap for the current month.
Average return for the current month.
Year-to-date return.
Toggle between average and cumulative modes for monthly return curves.
Clearly marks days with abnormal return spikes using optional labels.
Clean fallback warning if not on a daily chart ("⚠️USE DAILY TIMEFRAME").
Custom color themes for bullish and bearish values.
🔵 HOW TO USE
Use the monthly return curve to compare how the current month is performing against historical averages.
Look for clusters of positive or negative bubbles as signals of strong directional weeks.
Watch extreme return labels for volatility spikes or catalyst days.
Use year-to-date return to assess how the asset is trending in the broader macro cycle.
Combine with other BigBeluga tools to align trades with historically favorable periods.
🔵 CONCLUSION
Historical Returns is your visual companion for return analytics — helping you identify profitable months, detect volatility surges, and understand historical seasonality at a glance. With a clean dashboard and insightful overlays, this tool supports better timing and improved statistical edge in both short- and long-term trades.
Ultimate Lines Statistical Backtest @MaxMaseratiUltimate lines (MAs/MACD/VWAP,DWA etc..) Statistical Backtest
This is a comprehensive statistical backtesting tool that allows traders to objectively measure the performance of 27+ different trading lines across multiple timeframes and sessions. Instead of guessing which moving averages, VWAPs, or volume levels actually work for your trading style, this indicator provides hard data showing exactly how price behaves around each line at specific times of day.
The indicator solves a critical problem: most lines create whipsaws in choppy markets, but knowing which lines have the highest continuation rates vs reversal rates at specific session times helps you avoid false signals and focus on setups with proven statistical edges.
🎯 LINES YOU CAN TEST
MMM Core Lines:
Mid MA: Trend velocity tracker using simple moving average
MMPD Line: Premium/Discount change-of-direction indicator
Fair Value Golden Ratio: 0.618 equilibrium level between premium and discount zones
Volume-Based Lines:
VWAP Daily/Weekly: Volume-weighted average price (daily and weekly sessions)
Volume POC Multi-TF: Multi-timeframe Point of Control (highest volume price level)
Volume POC Weekly: Weekly momentum pivot based on volume distribution
Range Midpoints:
Range Midpoint 50: 50-period high/low midpoint
Range Midpoint 14 TF1/TF2: Configurable timeframe range midpoints with smoothing options
Moving Averages (10 MA Types):
MACD Fast (12) / Signal (26): Standard MACD moving averages
Fast MA 20 / Mid MA 50 / Slow MA 200: Classic trend-following averages
Available MA Types: SMA, EMA, WMA, HMA, DEMA, TEMA, LSMA, KAMA, ALMA, VWMA
Volatility Indicators:
MVM Upper/Lower Bands: Momentum-based volatility bands with adaptive option
HVC Bullish/Bearish: High Volume Candle support/resistance levels
Ultimate Suite Advanced Lines:
DWAP (Delta Weighted Average Price): Directional volume-weighted price with upper/lower bands
HVN (High Volume Node): High-frequency trading node detection
Hybrid Line: Volume-weighted momentum composite
Trend Filter: Two-pole smoothing filter for trend clarity
STL Lines:
iBuSTL / iBeSTL: Internal Bullish/Bearish Structural Trend Liquidity levels
⚙️ HOW TO TEST
Select Lines: Check the boxes for lines you want to analyze (Mid MA, VWAP Daily, Volume POC, etc.)
Choose Times: Enable tracking for specific session times (default: 8:30 AM, 9:30 AM, 10:00 AM, Daily Close - EST)
Set Lookback: Choose how many days of historical data to analyze (default: 60 days)
Enable Pattern Analysis: Turn on "Enable Pattern Analysis" in settings
Wait for Data: The indicator needs 20 bars after each signal time to complete analysis
Review Statistics: Check the statistics table for detailed breakdowns
📈 STATISTICS EXPLAINED
For Each Tracked Time, You'll See:
🟢 Above Selected Lines (X samples):
Continued↑: Price stayed above the lines = bullish continuation
Reversed↓: Price broke below the lines = reversal/rejection
→Kept Going↓: After reversing down, price continued lower (bars 11-20)
→Stalled: After reversing down, price came back up (consolidation)
Neutral: Price didn't make a clear move either way
🔴 Below Selected Lines (X samples):
Continued↓: Price stayed below the lines = bearish continuation
Reversed↑: Price broke above the lines = reversal/support bounce
→Kept Going↑: After reversing up, price continued higher (bars 11-20)
→Stalled: After reversing up, price came back down (consolidation)
Neutral: No clear directional move
⭐ Star Ratings: Show which outcome happens most frequently (best probability)
🔬 HYBRID DETECTION SYSTEM (ADVANCED)
When enabled, the indicator uses a multi-signal composite scoring system that goes beyond simple percentage movements:
Signal A - % Movement Direction (40% weight):
Measures the strength and direction of price movement. Strong directional moves (>0.8%) score higher, while opposite-direction moves score negatively.
Signal B - Inside Candles (30% weight):
Detects true consolidation by counting how many candles close within a defined range. High inside-candle counts indicate choppy, stalled price action rather than clean continuation.
Signal C - Successive Closes (30% weight):
Tracks momentum persistence by counting consecutive closes in the expected direction. Long streaks (6+ bars) indicate strong follow-through, while breaks in the sequence suggest weakness.
Composite Score Classification:
⭐⭐⭐ Strong (75-100 points): All three signals align - high-confidence pattern
⭐⭐ Moderate (50-75 points): Two signals agree - reliable pattern
⭐ Weak (25-50 points): Mixed signals - lower confidence
⚠️ Strong Stalled (0-25 points): Signals show consolidation/reversal
This provides nuanced pattern detection that identifies not just IF a pattern succeeded, but HOW STRONGLY it performed.
💡 INTERPRETING RESULTS
Good Lines Show:
High continuation % when price is above/below (>60% is strong)
Clean "Kept Going" patterns after reversals (>50% indicates reliable rejection)
Low stalled % (less whipsaw/consolidation)
Consistent patterns across multiple times (validates the line's reliability)
Poor Lines Show:
50/50 continuation vs reversal (coin flip = no edge)
High stalled % (lots of whipsaw/false signals)
Inconsistent patterns across different times (unreliable)
Example Interpretation:
9:30 AM - VWAP Daily (120 samples)
🟢 Above:
Continued↑ 75 (62.5%) ⭐ BEST
Reversed↓ 30 (25.0%)
Meaning: When price is above VWAP Daily at 9:30 AM, it continues higher 62.5% of the time - this is a statistically strong bullish signal for that session time.
🎯 PRACTICAL VALUE
Solves the Whipsaw Problem:
Most moving averages and lines work beautifully in trending markets but create endless false signals in choppy, range-bound conditions. By analyzing specific session times and continuation vs reversal patterns, you can:
Identify high-probability setups: Focus on lines that show >60% continuation at your preferred trading times
Avoid weak signals: Skip lines with high stall rates or 50/50 outcomes
Time your entries better: Know which session times produce the cleanest patterns
Combine complementary lines: Stack multiple high-scoring lines for confluence
Adapt to market conditions: Switch to different lines when market structure changes
Real-World Application:
Instead of blindly trading VWAP crosses or MA bounces, you'll have objective data showing: "At 9:30 AM on ES, when price is above Mid MA + VWAP Daily + Volume POC, it continues higher 68% of the time with strong momentum (⭐⭐⭐)." This transforms discretionary guesswork into data-driven decision making.
⚙️ LINE DEFINITIONS
Moving Averages: Smooth price data over X periods to identify trend direction and dynamic support/resistance.
VWAP: Anchored average price weighted by volume - institutional traders' benchmark for "fair value."
Volume POC (Point of Control): Price level with the most traded volume - represents maximum market acceptance.
Fair Value Golden Ratio: Fibonacci 0.618 level between recent premium (high) and discount (low) - equilibrium zone.
DWAP (Delta Weighted): Price average weighted by buying vs selling volume delta - shows directional money flow.
Range Midpoints: Geometric center of recent high/low range - mean reversion pivot.
Volatility Bands: Envelope around momentum lines showing normal price deviation ranges.
HVN (High Volume Node): Automated detection of high-volume price clusters - institutional accumulation/distribution zones.
Note: This indicator is purely for statistical analysis and backtesting. It does not generate trade signals or provide entry/exit recommendations. Use the statistics to inform your own trading decisions and strategy development.
BTC - DCA vs HODL Calculator MatrixBTC - DCA vs. HODL Calculator Matrix | RM
Overview
The BTC - DCA vs. HODL Calculator Matrix is a high-performance telemetry laboratory designed to settle the ultimate debate in Bitcoin accumulation: Is it more efficient to deploy all capital at once ( Lump Sum & HODL ) or utilize a recurring purchase strategy ( DCA )? More importantly, if DCA is the choice, which exact frequency and weekday provides the mathematical edge?
The Calculator Matrix was engineered to solve a critical limitation in the current script ecosystem (at least I couldnt find such an indicator): the inability to compare multiple DCA frequencies and specific calendar days simultaneously within a single dashboard. While developing this tool, I found that existing calculators typically only permit testing one strategy at a time (e.g., a generic "Weekly" buy). This script fills that gap by utilizing a high-performance array-based "Telemetry Engine" to rank dozens of variables—including every individual weekday and specific monthly dates—against a HODL benchmark in real-time. This unique simultaneous comparison allows investors to mathematically identify "Weekday Alpha" across any user-defined timeframe.
Core Philosophy
The script utilizes a Normalized Capital Model . To ensure a true "apples-to-apples" comparison, your total capital (e.g., $10,000) is distributed with mathematical precision across the exact number of entries for each specific strategy. This eliminates the ROI skewing commonly found in basic scripts, ensuring that every strategy is judged on the same total dollar expenditure over the same "Race Track."
Key Features & Analytics
• The Podium System: An automated ranking algorithm that awards 🥇 Gold, 🥈 Silver, and 🥉 Bronze medals to the top three performing strategies. Spoiler: Regular Winner: 1-time HODL (Lump Sum)
• Simultaneous Strategy Testing: Compare Daily, 7 different Weekly days (Mon-Sun), and Monthly dates (1st–28th) all at once.
• Risk Telemetry: Integrated Max Drawdown (MDD) sensors for every strategy, revealing the "Emotional Cost" of your accumulation path.
• Race Track Visuals: Blue dashed "Green Flag" and "Checkered Flag" lines visually define the boundaries of your backtest.
• Dashboard Customization: Use the "Odd/Even" filter to keep the matrix sleek and readable on (nearly) any screen resolution.
The Strategies Tested
• 1-TIME HODL: The benchmark (Lump sum entry on Day 1 - meaning all the capital is deployed at the start date).
• DAILY DCA: High-frequency, day-by-day accumulation (the capital is split amongst the different entries).
• WEEKLY (SUN-SAT): Evaluates which specific day of the week historically captures the best entries (e.g., "Weekend Dips").(The capital is split amongst the different entries).
• MONTHLY (1-28 + END): Tests monthly date performance to optimize for beginning-of-month or end-of-month cycles. (The capital is split amongst the different entries).
Monte Carlo Simulation & Python Research
While this tool allows you to manually check any specific timeframe, manual testing is limited by "Start Date Bias." To find the Universal Winner , I have conducted a Monte Carlo Simulation using 100 random entry dates over the last 5 years via Python/Colab. This research reveals the statistical probability of a day (like Saturday) winning the Gold medal across all market conditions.
Access the Python Heatmap Research in my substack article (link for substack in Bio).
How to Use
1. Set the Race Track: Input Start and End dates in the settings.
2. Fuel the Engine: Set your Total Capital ($).
3. Analyze the Matrix: Compare ROI vs. MAX DD. The goal is not just the highest return, but the best Risk-Adjusted return.
Technical Implementation
This script utilizes an array-based telemetry engine to handle the simultaneous calculation of 30+ independent investment strategies. To ensure computational efficiency and bypass the limitations of standard security-based backtesting, I implemented a custom-built accumulator logic using array.new_float() and array.set() . The core calculation loop ( if in_race and is_new_day ) processes capital deployment on a per-bar basis, utilizing ta.change(time("D")) to ensure entry synchronization with the Daily UTC close. By decoupling the unit accumulation ( u_weekly , u_monthly ) from the final valuation logic ( f_get_stats ), the script maintains a Normalized Capital Model. This ensures that even with complex comparative logic across varying frequencies, the script provides a mathematically rigorous, reproducible result that matches real-world execution at the Daily UTC Midnight close.
Note: All calculations are made on the "close" bar, which means UTC 00:00. By creating a strategy or using the research, make sure to be aware of your time zone
Disclaimer: Past performance is not indicative of future results. This tool is for educational and research purposes only. Rob Maths is not liable for any financial losses.
Tags:
robmaths, Rob Maths, DCA, HODL, Bitcoin, BTC, Backtest, RiskManagement, Investment, Strategy, Statistics
Buy / Sell Volume HeaderBuy / Sell Volume Header
Description
- Buy / Sell Volume Header displays real-time buying and selling volume with percentages in a clean dashboard at the top or bottom of your chart. The indicator calculates buying pressure as volume weighted toward the close relative to the bar's range, and selling pressure as volume weighted toward the high.
- Perfect for day traders and scalpers who need instant visual confirmation of buying vs selling pressure without cluttering their chart with additional panes.
Key Features:
- Real-time buy/sell volume split with percentages
- Customizable lookback period (1 bar for current, or sum multiple bars)
- Adjustable table position (top/bottom, left/center/right)
- Five size options (Tiny to Huge)
- Color-coded: Green (buying volume), Red (selling volume)
- Clean, minimal design that doesn't obstruct price action
Calculation Method:
- Buying Volume = Total Volume × (Close - Low) / (High - Low)
- Selling Volume = Total Volume × (High - Close) / (High - Low)
How to Use:
- Select header location (default: Top Right) and table size (default: Normal). Set lookback period to 1 for current bar only, or higher values to see cumulative volume over multiple bars.
Reading the Display:
- Green Box (Left): Buying volume and percentage of total
- Red Box (Right): Selling volume and percentage of total
- Numbers update in real-time on every tick
Trading Applications:
- Trend Confirmation:
- In uptrends, buying volume should consistently be >60%.
- In downtrends, selling volume should be >60%. Divergences warn of potential reversals.
Breakout Validation:
- Valid breakouts show 70%+ volume in breakout direction.
- Breakouts with <55% directional volume often fail.
Reversal Signals:
- When price makes new high but buying volume drops below 50%, watch for reversal. When price makes new low but selling volume drops below 50%, watch for bounce.
Scalping Entry:
- Enter long when buying volume spikes above 65-70% with price momentum. Enter short when selling volume spikes above 65-70% with price momentum.
Best Practices:
- Use lookback=1 for intraday scalping. Use lookback=3-5 for swing context. Combine with price action for confirmation. Volume percentages work best on liquid instruments (MNQ, MES, stocks with high volume).
NPR21
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
Contract Size OverviewNever second-guess your position size again. This indicator displays your pre-configured contract or lot sizes for all your frequently traded instruments, so you always know exactly how much to trade the moment you open a chart.
🎯 Why Use This?
Switching between ES futures, crypto pairs, and forex? Each instrument likely has a different position size based on your risk management. Instead of calculating or remembering sizes every time, configure them once and let the indicator do the work.
✨ Key Features
Configure up to 10 symbols with custom position sizes
Full support for fractional sizes (0.1 BTC, 0.25 ETH, etc.)
Automatic symbol detection — works with continuous contracts (ES1!, NQH2025, etc.)
Two display modes: current symbol only or full watchlist
Optional large on-chart label for instant visibility
Fully customizable colors and positioning
📖 How To Use
Add the indicator to your chart
Open settings and enter your traded symbols (ES, NQ, BTCUSDT, etc.)
Set your default position size for each
Switch between charts — your size appears automatically
⚙️ Display Options
Single Mode : Shows only the current chart's position size — clean and minimal
List Mode : Displays all configured symbols with the current one highlighted
Large Label : Optional prominent display directly on the price chart
💡 Perfect For
Futures traders managing multiple contracts (ES, NQ, CL, GC)
Crypto traders with fractional position sizes
Anyone who trades multiple instruments with different risk allocations
Traders who want to eliminate sizing mistakes when switching markets
⚠️ Note
This is an informational overlay only. It does not execute trades or connect to any broker.
Buy & Hold Compounded ValueBuy & Hold Compounded Value
This indicator calculates the cumulative compounded value of a buy-and-hold investment from the instrument’s inception. Starting from a user-defined initial investment (default $1000), it compounds returns using monthly price changes and displays the current portfolio value in the TradingView status line only.
Designed for use on monthly charts, it provides a clean, clutter-free way to evaluate long-term performance without adding any visuals to the chart.
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management.
🔶 Advanced Shannon Entropy Engine
Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability.
float entropy = 0.0
float total = float(len)
for i = 0 to bins - 1
float count = array.get(bin_counts, i)
if count > 0
float prob = count / total
entropy -= prob * math.log(prob) / math.log(2)
float max_entropy = math.log(bins) / math.log(2)
result := entropy / max_entropy
🔶 Adaptive Percentile Threshold System
Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution.
🔶 Multi-Timeframe Alignment Framework
Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability.
🔶 Three-Regime Classification Engine
Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness.
🔶 Composite Entropy Architecture
Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information.
🔶 Dynamic Gradient Visualization System
Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength.
🔶 Intelligent Zone Fill Architecture
Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention.
🔶 Momentum-Based Divergence Detection
Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes.
🔶 Normalized Display Framework
Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison.
🔶 Regime Strength Measurement
Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions.
🔶 Performance Optimization Framework
Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods.
🔶 Why Choose Market Entropy ?
This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
Half Closing CandleHalf Closing Candle
This indicator identifies candles whose closing price falls within the upper or lower half of the candle range, measured from the midpoint relative to the candle’s open. It helps traders quickly spot candles that close toward the open or high/low extremes, providing insight into momentum, indecision, or potential reversal areas.
The script highlights these candles with a subtle, non-intrusive overlay directly on the chart, without altering candle wicks or overall price representation, ensuring visual clarity and professional presentation.
SNIPER ORB V4SNIPER ORB V4
### What It Does
Draws 5/15/30 minute Opening Range Breakout levels with confirmation patterns.
### Session Times
| Session | Hours (ET) |
|---------|------------|
| London | 3:00 - 9:30 |
| New York | 9:30 - 17:00 |
### Levels Drawn
| Level | Color Default | Purpose |
|-------|---------------|---------|
| 5m ORB H/L | Blue | Scalp levels |
| 15m ORB H/L | Cyan | Swing levels |
| 30m ORB H/L | Purple | **Primary levels** |
| Targets 1x-3x | Green/Red | Profit targets |
### Signals
| Signal | Meaning | Priority |
|--------|---------|----------|
| `ORB↑` | Confirmed breakout up | ⭐⭐ |
| `ORB↓` | Confirmed breakout down | ⭐⭐ |
| `RT↑` | Retest long entry | ⭐⭐⭐ **BEST** |
| `RT↓` | Retest short entry | ⭐⭐⭐ **BEST** |
| `FVG↑` | FVG zone long | ⭐⭐⭐ |
| `FVG↓` | FVG zone short | ⭐⭐⭐ |
| `ABS` | Absorption (caution) | ⚠️ Warning |
| `FK!` | Fakeout detected | ❌ Avoid |
### FVG Zones (Blue Boxes)
- **Bullish FVG** = Gap below price → Support zone
- **Bearish FVG** = Gap above price → Resistance zone
- **Best Entry** = Price touches FVG + Engulfing candle
### Bar Colors
| Color | Meaning |
|-------|---------|
| Bright Green | Bullish breakout confirmed |
| Bright Red | Bearish breakout confirmed |
| Light Green | Bullish retest entry |
| Light Red | Bearish retest entry |
### Info Table Key
| Field | Green = Good | Yellow/Orange = Caution |
|-------|--------------|-------------------------|
| Volume | HIGH VOL | Normal |
| Body | STRONG (70%+) | Normal/Weak |
| Status | BROKE HIGH/LOW | IN RANGE |
### Quick Trade Plan
```
LONG:
1. Wait for 30m ORB to complete
2. Watch for ORB↑ breakout
3. WAIT for pullback to ORB High
4. Enter on RT↑ or FVG↑ signal
5. SL = Below 30m ORB Low
6. TP = Target 1x or 2x
SHORT:
1. Wait for 30m ORB to complete
2. Watch for ORB↓ breakout
3. WAIT for pullback to ORB Low
4. Enter on RT↓ or FVG↓ signal
5. SL = Above 30m ORB High
6. TP = Target 1x or 2x
```
---
Global Macro Scanner & Relative PerformanceDescription: This indicator is an all-in-one Macro Dashboard that allows traders to track money flow across major global asset classes in real-time. It combines a floating data table with a normalized percentage-performance chart.
Features:
Macro Dashboard (Table): Displays the current value, daily % change, and status (Inflow/Outflow) for 9 key economic sectors:
US M2 Supply: Tracks monetary inflation/tightening.
DXY (US Dollar): Currency strength.
Bonds (AGG): US Aggregate Bond market.
Stocks (VT): Total World Stock Index.
Real Estate (VNQ): Vanguard Real Estate ETF.
Commodities: Oil (WTI), Gold, and Silver.
Crypto: Total Crypto Market Cap.
Relative Performance Chart (Lines): Instead of plotting raw prices (which have vastly different scales), this script plots the Percentage Return relative to a baseline.
Lookback Period: You can set a lookback (default 100 bars). The script sets the price 100 bars ago as "0%" and plots how much each asset has gained or lost since then.
Comparison: This allows you to visually see which assets are outperforming or underperforming relative to each other over the same time period.
Visual Aids:
Dynamic Labels: Each line is tagged with a label at the current candle so you can identify assets without needing a legend.
Colors: Each asset has a distinct, fixed color for consistency between the table and the chart.
How to use:
Add the script to your chart.
Adjust the "Lookback" setting in the inputs to change the starting point of the comparison (e.g., set it to the start of the year to see Year-to-Date performance).
Use the dashboard to spot daily money flow rotation (e.g., Money moving out of Stocks and into Gold).
Execution-Weighted Market Regime Map (EWRM)Overview
The Execution-Weighted Market Regime Map is designed to answer a simple question:
“Is this market worth trading right now, or is it mostly noise and costs?”
Instead of focusing only on trend vs range, it evaluates whether conditions are likely to:
offer clean, follow-through price movement
chop back and forth
be dominated by costs like spread and slippage
It is meant for day traders and swing traders who want to choose when to trade, not just where to enter .
Core idea
Most indicators try to predict direction.
EWRM focuses on tradability.
It highlights:
when the market moves cleanly and is easier to execute
when volatility is unstable and unreliable
when “cost of trading” (spread and slippage) eats potential profit
The indicator shows this using:
a visual dashboard
background color changes
clear regime labels
Key concepts in plain language
SRR – Spread-to-Range Ratio
How big the trading costs are compared to how much price is moving.
High SRR = the market moves little but costs you a lot → bad environment.
Low SRR = price moves much more than it costs to trade → better environment.
PEI – Pullback Efficiency Index
Measures how “clean” trends are.
If pullbacks lead to smooth continuation, PEI is high.
If pullbacks constantly fail and reverse, PEI is low.
SRP – Slippage Risk Proxy
Estimates how likely you are to get worse fills than expected.
Fast spikes, thin liquidity zones, and whipsaw behavior increase SRP.
What EWRM helps you do
avoid overtrading during messy conditions
size up when conditions are smooth and directional
identify when volatility is expanding or collapsing
adapt behavior by time of day (open, midday, close)
How it works at a high level
It measures how much the market is moving
It checks whether volatility is stable or chaotic
It estimates how expensive and difficult execution is
It breaks the day into premarket, open, midday, and power hour
It combines all of this into an overall “regime” label
It colors the background or dashboard so you can read the state instantly
There are no buy/sell arrows. It is a decision-support tool, not a signal generator.
How to use it
trade more when conditions are clean and execution-friendly
stand aside when cost and noise dominate movement
prefer trend setups when trend regimes are detected
stay cautious when regime flips frequently
Think of it as a weather map for the market, not a GPS.
Inputs and parameters
Core settings
Realized Volatility Length – how fast the tool reacts to volatility changes
Volatility Stability Length – how stable/unstable volatility appears
ATR Length – used to scale and normalize movement
General Lookback – how much history is analyzed
Session settings
Premarket
Opening drive
Midday
Power hour
These let the tool treat each time window differently, since behavior changes through the day.
Cost settings
Estimated Spread – approximate buy/sell price difference
Estimated Slippage – expected extra cost from fast movement
These make the tool focus on realistic, after-cost trading conditions .
Visual settings
toggle dashboard
toggle background shading
toggle regime labels
choose X/Y position of the panel
Limitations
uses estimates of spread and slippage, not live order-book data
cannot remove all uncertainty
best used as a filter, not a trading system
Suggested use
filter out bad environments
increase selectivity
align position size with regime quality
combine with your own strategy or entries
Options Gamma Flip Zones [BackQuant]Options Gamma Flip Zones
A market-structure style “gamma flip” mapper that builds adaptive strike-like zones, scores how price interacts with them, then promotes the strongest candidates into confirmed flip zones. Designed to highlight pinning, failed breaks, and rotational behavior without needing live options chain data.
What this indicator does
This script identifies price levels that behave like “strike magnets” during conditions that resemble options pinning, then draws dynamic zones around those levels.
Instead of assuming every round number matters, it:
Creates a strike ladder (auto or manual step).
Applies a regime filter that looks for “pin-friendly” market conditions.
Tracks and scores repeated interactions with the level.
Upgrades a zone from candidate to confirmed when enough evidence accumulates.
Invalidates zones when price achieves sustained acceptance away from them.
The output is a set of shaded boxes (zones) centered on strike-like levels, with text readouts that show the current state of each zone.
Key concept: “Gamma proxy”
A true gamma flip requires options positioning data. This indicator does not use options chain gamma.
Instead, it uses a proxy approach:
When markets have elevated volatility relative to their recent baseline AND trend strength is weak, price often behaves “sticky” around key levels.
In those conditions, repeated touches and failed escapes around a level behave similarly to pinning around strikes.
So this tool is best read as:
“Where would a strike-like magnet likely exist right now, based on price behavior and regime conditions?”
How zones are created
Zones only start forming when the script detects a pin-friendly regime.
1) Strike Ladder (level selection)
Auto Strike Step selects a step size based on current price magnitude (bigger price, bigger step).
Manual Strike Step lets you force a fixed increment.
The current “active level” is the nearest rounded level to price.
Major Level Every optionally marks major ladder levels (multiples of step).
2) Band construction (zone thickness)
Each zone is a symmetric band around the level, using one of two modes:
ATR mode scales thickness with volatility.
Percent mode scales thickness as a fraction of price.
This matters because “pin behavior” is not a single tick. It’s a region where price repeatedly probes and rejects.
Regime filter (when the script is allowed to believe in pinning)
A zone is only eligible to form and strengthen when Pin Regime is active. Pin Regime is a conjunction of:
1) IV proxy (ATR z-score)
Uses ATR as a volatility proxy.
Converts ATR% into a z-score relative to a long lookback.
IV Proxy Threshold controls how elevated volatility must be before the script considers pinning likely.
2) Weak trend requirement
The script also requires price action to be non-trending:
EMA spread must be small (fast vs slow EMA not diverging strongly).
ADX must be below a ceiling, confirming weak directional trend strength.
Interpretation:
High “IV proxy” + weak trend is where pin-like behavior is most common.
If trend is strong, zones are less meaningful because price is more likely to accept away from levels.
Flip confirmation logic (what upgrades a zone)
A zone is not “confirmed” just because price is near it once. The script builds conviction via evidence accumulation.
Evidence types:
Touches : price comes close to the level within tolerance.
Failed escapes : price pushes outside the band but closes back inside (rejection).
Acceptance run : consecutive closes outside the band, suggesting price is accepting away from the zone.
Protections:
Touch Cooldown prevents counting the same micro-chop as multiple touches.
Acceptance Bars defines what “real acceptance” means, so the zone does not get invalidated by one noisy bar.
A zone becomes confirmed when:
Touches meet the “evidence” requirement.
Failed escapes meet the “rejection” requirement.
The regime filter still says the market is pin-friendly.
That is important, it avoids promoting levels that only worked briefly in a trending tape.
Zone scoring and lifecycle
Each zone maintains a score that evolves over time. Think of score as “how much this level has recently behaved like a magnet.”
Score dynamics:
Decay per bar : score fades over time if price stops respecting the zone.
+ per touch : repeated proximity increases score.
+ per failed escape : rejections add stronger reinforcement.
- per acceptance bar : sustained trading outside reduces score.
Min score to draw : prevents clutter from weak, low-confidence zones.
Invalidation:
If the score becomes very weak AND price achieves sustained acceptance away from the zone, the zone is deleted.
This keeps the chart clean and ensures zones represent current market behavior, not ancient levels.
How to read the plot on chart
1) Zone fill and border
Each zone is drawn as a box extended to the right.
Fill opacity adapts to zone strength, strong zones are visually more prominent.
Border color encodes the current directional context and special events.
2) Bullish vs bearish coloring
A zone is colored bullish when price is currently trading above the zone’s mid-level.
A zone is colored bearish when price is currently trading below it.
This is not a trade signal by itself, it is a state cue for “which side is in control around the level.”
3) Failed escape highlighting
If price attempts to break above the band and fails, the border temporarily highlights as a failed up escape.
If price attempts to break below the band and fails, the border temporarily highlights as a failed down escape.
These are the moments where pin behavior is most visible:
Break attempt.
Immediate rejection.
Return to the band.
4) Midline (optional)
The zone midline is the strike-like level itself.
It is dotted to distinguish it from price structure lines.
5) Optional strike ladder overlay
When enabled, the script draws major and minor ladder lines near current price.
Major levels are thicker and less transparent.
This is a visualization aid for “where the algorithm is rounding,” not a prediction tool.
On-chart text readout (what the box text means)
Each box prints a compact state summary, designed for fast scanning:
Γ CANDIDATE means the zone is being tracked but not yet validated.
Γ FLIP (PROXY) means the zone has met confirmation requirements.
BULL/BEAR indicates which side price is on relative to the mid-level.
L prints the level value.
T is touch count, repeated proximity events.
F is fail count, rejected escape attempts.
IVz is the volatility proxy z-score at the moment.
ADX is the trend strength context.
Practical use cases
1) Pinning and range trading context
Confirmed zones often act like gravity wells in sideways or rotational regimes.
When price repeatedly fails to escape, fading outer edges can be reasonable context for mean reversion workflows.
2) Breakout validation
If price achieves acceptance outside the band for multiple bars, that is stronger breakout context than a single wick.
Zones that invalidate cleanly can mark transitions from pinning to directional move.
3) Time your “do nothing” periods
When Pin Regime is active and a zone is confirmed, the tape often becomes sticky and inefficient for trend chasing.
This helps avoid taking trend entries into a pin environment.
Alerts
Standalone alertconditions are included:
Zone Confirmed : a candidate becomes confirmed.
Zone Touch : price touches an active zone within tolerance.
Zone Invalidated : the zone loses relevance and is removed.
Tuning guidelines
Sensitivity vs quality
Lower Touches Needed and Failed Escapes Needed creates more zones faster, but with lower quality.
Higher values create fewer zones, but the ones that remain are more behaviorally “proven.”
Band width
ATR mode adapts to volatility and is typically safer across assets.
Percent mode is consistent visually but can feel too tight in high vol or too wide in low vol if not tuned.
Regime thresholds
If you want fewer zones, raise IV proxy threshold and tighten weak-trend filters.
If you want more zones, lower IV proxy threshold and loosen weak-trend filters.
Limitations
This is a proxy model, not live options gamma.
In strong trends, pinning assumptions can break, the regime filter is there to reduce that risk, but not eliminate it.
Auto strike step is designed for typical market ranges, manual step is recommended for niche tick sizes or custom markets.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
Always validate settings per asset and timeframe.
Dynamic Stoch200+MACD+Gann Confluence (Cardinal + Ordinal)If you're scrolling through hundreds of indicators on TradingView looking for a reliable edge, here's why this one stands out and deserves a spot on your chart:Ultra-High-Conviction Reversal Signals (Rare but Powerful)
Most indicators spam signals and repaint. This one requires four independent confluences to fire:Hidden bullish/bearish divergences on a very long-period Stochastic (200) – catches major cycle turns, not noise.Matching hidden divergences on MACD histogram – confirms momentum shift.A strong directional candle (close in top/bottom 20% of range) – filters weak wicks.
Price within ~1.75% of a dynamic Gann Square of 9 level (cardinal + ordinal angles).
Because it demands all four at once, signals are extremely rare — often only a handful per year on daily/weekly timeframes. When they appear, they frequently mark significant tops and bottoms.Fully Adaptive Gann Levels (No Static Lines)
Unlike most Gann scripts with fixed levels that quickly become irrelevant, this one:Automatically anchors to the most recent significant pivot low or high.
Calculates authentic Square of 9 rotations (45°, 90°, 135°, 180°, 225°, 270°, 315°, 360°).
Updates dynamically as new swings form — works on any timeframe and any market (BTC, stocks, forex, indices).
Clean & Customizable Toggle cardinal (strong) vs ordinal (intermediate) levels for plotting and signal checks.
Adjustable pivot sensitivity and proximity tolerance.
Minimal chart clutter: bold lines for major levels, subtle for intermediates, plus clear large triangles for entries.
Best For
Swing traders and position traders seeking high-probability reversal zones rather than frequent scalps. Excellent for Bitcoin and volatile assets where geometric levels + extreme momentum divergences often align at cycle extremes.In short: If you want an indicator that stays quiet most of the time but screams when a real reversal is likely — this is it. Add it, watch the Gann levels adapt, and wait patiently for the rare multi-confluence setups. Quality over quantity.
Long-Term Refuges (LTR)══════════════════════════════
// Intruduction // (Spanish Texts Below)
══════════════════════════════
This indicator is originally based on a soft fork of the Multi-Timeframe Recursive Zigzag Indicator by ©Trendoscope. We have used the technology of their libraries for Zigzag generation so that the user has the freedom to choose which of the different Zigzags calculated by ©Trendoscope as "Levels" is most suitable for adapting to the generation of ideal phases for evaluation and selection as "most predominant" phases, in long-term periods, for any asset according to its particular behavior based on its volatility and price variation rhythm.
// Theoretical Foundation of the Indicator //
═══════════════════════════════════
Many traditional institutional investors use the last major-grade market phase that stands out
from the others (longer duration and greater price change on daily timeframe), to base a Fibonacci whose levels are used to open long-term positions. These positions can remain open to be activated in the future up to years in advance. The phase is considered valid until a new more predominant phase develops in the future; with which the same strategy is repeated.
// Indicator Objectives
══════════════════
1) Automatically find the last most predominant phase of an asset, analyzing it on daily timeframe and taking into account whether the long-term market trend is bullish or bearish.
2) Plot a Fibonacci Retracement over the predominant phase (reversed if the phase is bullish.)
3) The indicator numbers and locates the 3 most predominant phases, from which it chooses Top-1 for plotting.
4) If the user does not agree with the indicator's automatic selection, they have the freedom to choose any of the other 2 Top phases for plotting the Fibo and its levels.
5) If the user does not agree with the amplitude or frequency of the plotted Zigzag phases, they can modify the parameters of the Zigzag calculation of the ©Trendoscope algorithm until one of the Top-3 matches the phase they have in mind.
6) As an experimental bonus, the indicator runs a contest (CP) of bull's-eye price coincidences (OHLC) daily with all Fibo levels of the selected Top 3 phases, to verify which phase the market prices are validating as the most popular for placing operations. Contest results are displayed in the CP column of the Top-3 phases table. If as a result of the contest it is detected that there is a change in the winning phase, a switch can be enabled to activate an alert that the user can use with TradingView's alert creator to show an alarm, send an email, etc.
7) This indicator was designed for the user to find the long-term predominant phase of their assets and manually record the date-price coordinates of the i0-i1 anchors of the predominant phase. The Top-1 phase coordinates are shown in the table Top-3 phases from where the user can capture them. The date-price coordinates of all HH and LL pivots, of all Zigzag phases, appear through a switch. With the pivots, the user can search or select a different phase from those automatically found
by the indicator, according to their own research. Subsequently, the user forgets about this LTR indicator for a good while and proceeds to apply in their normal operation our SLTR indicator (Simplified Long-Term Refuges), in which they can plot and follow simultaneously the long-term refuges of up to 5 different assets, by just entering their corresponding date-price coordinates,
which were calculated previously with this LTR indicator.
// Additional Notes:
══════════════════
1) As of the publication date of LTR version v1.0 (12/2025), the ©Trendoscope Zigzag generation parameters were adjusted by default to find the long-term predominant phases of Bitcoin and Ethereum (2020-2021 Pandemic). The levels shown in the chart correspond to the results obtained using daily data from Bitstamp exchange, BTCUSD:BITSTAMP (popular in Europe).
2) Due to TradingView's strict publication rules related to the use of languages other than English, the complete Spanish version (plain language), with all entries, help (tooltips) and bibliographic references, will soon be available in our GH repository: aj-poolom-maasewal. Any corrections or improvements that can be made to the phase selection algorithms or to the CP phase contest algorithm, will be highly appreciated (Statistical, mathematical and financial sciences, among many others, are not particularly our forte).
════════════
SPANISH TEXTS
════════════
// Introduccion
════════════
Este indicador esta basado originalmente en un soft fork del Indicador Multi-Timeframe Recursive Zigzag de ©©Trendoscope. Hemos utilizado la tecnologia de sus librerias para la generacion de Zigzags de manera que el usuario tenga la libertad de escoger cual de los diferentes Zigzags que se calculan por ©Trendoscope como "Niveles" es el mas adecuado para adaptarse a la generacion
de las fases ideales para su evaluacion y seleccion como fases "mas preponderantes", en periodos de largo plazo, de cualquier activo de acuerdo a su comportamiento en particular segun su volatibilidad y ritmo de variacion del precio.
// Fundamento Teorico del Indicador
═══════════════════════════
Muchos de los inversores institucionales tradicionales utilizan la ultima fase de mercado de grado mayor que sobresale de las demas (mayor duracion y mayor cambio de precio en temporalidad diaria), para basar un Fibonacci en cuyos niveles abren posiciones de largo plazo. Esas posiciones pueden quedar abiertas para activarse en el futuro hasta con anios de antelacion. Se considera que la fase tiene vigencia hasta que en el futuro se desarrolla otra nueva fase mas preponderante; con la cual
se repite la misma estrategia.
// Objetivos del indicador
════════════════════
1) Encontrar de manera automatica la ultima fase mas preponderante de un activo, analizandolo en temporalidad diaria y tomando en cuenta si la tendencia del mercado a largo plazo es alcista o bajista.
2) Trazar un Retroceso de Fibonacci sobre la fase preponderante (revertido si la fase es alcista.)
3) El indicador numera y localiza las 3 fases mas preponderantes, de las cuales escoge a la Top-1 para el trazado.
4) Si el usuario no concuerda con la seleccion automatica del indicador, tiene la libertad de escoger a cualquiera de las otras 2 fases Top para el trazado del Fibo y sus niveles.
5) Si el usuario no concuerda con la amplitud o la frecuencia de las fases del Zigzag trazado, puede modificar los parametros del calculo del Zigzag del algoritmo de ©Trendoscope hasta que una de las Top-3 coincida con la fase que tiene mentalizada.
6) Como bonus experimental, el indicador ejecuta un concurso (CP) de tiro al blanco de coincidencias de precios (OHLC) diarios, con todos los niveles Fibo de las Top 3 fases seleccionadas, para tratar de comprobar cual es la fase que estan validando los precios del mercado como la mas popular para colocar operaciones. Los resultados del concurso se despliegan en la columna CP de la tabla Top-3 fases. Si como resultado del concurso se detecta que hay un cambio en la fase ganadora, se puede habilitar un switch para que se active una alerta que el usuario puede utilizar con el creador de alertas de Tradingview para que le muestre una alarma, le mande un email, etc.
7) Este indicador fue diseniado para que el usuario encuentre la fase preponderante de largo plazo de sus activos, y registre a mano las coordenadas fecha-precio de las anclas io-i1 de la fase preponderante. Las coordenadas de la fase Top-1 se muestran en la tabla Top-3 fases, de donde la puede capturar el usuario. Las coordenadas fecha-precio de todos los pivots HH y LL, de todas las fases del Zigzag, aparecen mediante un switch. Con los pivots, el usuario puede buscar o seleccionar otra fase diferente a las encontradas automaticamente por el indicador, de acuerdo a su investigacion propia. Posteriormente, el usuario se olvida por un buen rato de este indicador RLP y pasa a aplicar en su operativa normal nuestro indicador RLPS (Refugios de largo plazo simplificado), en el cual puede trazar y dar seguimiento simultaneo a los refugios de largo plazo de hasta 5 diferentes activos, con tan solo introducir sus correspondientes coordenadas fecha-precio, previamente calculadas con este indicador RLP.
// Notas adicionales
════════════════
1) A la fecha de publicacion de la version v1.0 de RLP (LTR) (12/2025), los parametros de generacion del Zigzag de ©Trendoscope se ajustaron por default para encontrar las fases preponderantes de largo plazo de Bitcoin y Etherum (Pandemia 2020-2021). Los niveles mostrados en el grafico, corresponden a los resultados obtenidos, usando los datos diarios del exchange Bitstamp, BTCUSD:BITSTAMP (muy popular aquí en Europa).
2) Debido a las estrictas reglas de publicacion de Tradingview relacionadas con el uso de lenguajes diferentes al ingles, la version en espaniol (roman paladino) completa, con todas las entradas, ayudas (tooltips) y referencias bibliograficas, estara proximamente disponible en nuestro repositorio de GH: aj-poolom-maasewal. Cualquier correccion o mejora que se le puedan hacer a los algoritmos de seleccion de fases o al algoritmo del concurso CP de fases, seran altamente apreciados (La ciencias estadisticas, matematicas y financieras, entre otras muchas, no son particularmente nuestro fuerte).
ADR Dashboard with Move, Left and AlertsIndicator Name: ADR Dashboard with Move, Left and Alerts
Overview
The ADR Dashboard is a powerful real-time trading tool that tracks how much a stock, crypto, or other asset has moved today relative to its Average Daily Range (ADR). It provides a clear visual representation of:
1. Today’s price movement (Move)
2. Remaining potential movement left to reach ADR (Left)
3. Percentage of ADR covered (% Covered)
4.Additionally, it provides automated alerts for key movement thresholds.
A) What it Does
1.Calculates the Average Daily Range (ADR):
2. Uses True Range over a user-defined lookback period (default 14 days).
3. ADR measures typical daily volatility.
B) Tracks Today’s Move:
1. Move = Current Price – Today’s Open (Realtime)
2. Positive → bullish move, Negative → bearish move
C) Tracks Remaining Potential (Left):
1. Left = ADR – |Move| (Realtime)
2. Shows how much of the ADR is still available for today’s move
3. Percentage Covered:
4. % Covered = |Move| / ADR × 100
D) Color-coded for visual clarity:
1. Green (<50%) → small move, plenty of range left
2. Yellow (50–80%) → moderate move, watch for acceleration
3. Orange (80–100%) → strong move, ADR almost reached
4. Red (>100%) → ADR exceeded, momentum may be exhausted
E) Dashboard Table:
1. Columns: ADR | Move | Left | % Covered
2. Position: middle-right of the chart
F) Left column color-coded:
1. Green → some ADR left
2. Red → ADR fully reached or exceeded
3. Move column: usually yellow for visibility, but could be enhanced for positive/negative moves
G) Alerts
The indicator provides directional alerts:
Bullish Alerts (upward moves):
1. 90% ADR warning: fires when Move ≥ 90% of ADR → early warning of strong bullish momentum
2. 100% ADR breach: fires when Move ≥ ADR → full daily range reached
Bearish Alerts (downward moves):
1. 90% ADR warning: fires when Move ≤ -90% of ADR → early warning of strong bearish momentum
2. 100% ADR breach: fires when Move ≤ -ADR → full daily range reached
All alerts are unique and fire once per session per threshold.
H) How Traders Can Use This Indicator
Momentum Trading:
1. Identify strong intraday moves approaching ADR.
2. Enter positions early at 90% ADR warning or take profits near 100% ADR.
Scalping & Intraday Trading:
1. Gauge how much of today’s range is left for quick entries/exits.
2. Avoid trades when ADR is almost fully consumed → reduces risk of reversals.
Swing Trading:
1. Combine with trend indicators to see if today’s move is significant relative to historical volatility.
I) Risk Management:
1. Set profit targets or stop-loss levels based on Move and Left values.
Visual Efficiency:
At-a-glance view of Move, Left, % Covered, and alert status without manual calculations.
Key Features
1. Real-time Move and Left updates
2. Color-coded % Covered and Left for quick visualization
3. Alerts for 90% and 100% ADR levels, bullish and bearish
4. Clean dashboard table at middle-right of the chart
5. Works across stocks, crypto, forex, and other markets
J) Why This Indicator is Powerful
1. Combines volatility (ADR) with real-time price tracking
2. Provides visual clarity and actionable alerts
3. Helps traders stay ahead of intraday moves, manage risk, and time entries/exits effectively
Advanced Power Index (GGE)# Advanced Power Index (GGE)
## Overview
The Advanced Power Index is a momentum oscillator that provides faster and more responsive signals compared to traditional RSI indicators. It uses direct summation calculations instead of exponential smoothing, making it particularly effective for short to medium-term trading.
## Key Features
- **Faster Response**: Reacts more quickly to price changes than standard RSI
- **Clearer Signals**: Provides sharper, more defined momentum shifts
- **Customizable Levels**: Overbought (68) and Oversold (32) zones
- **Visual Alerts**: Color-coded plot and background highlighting for critical zones
- **Adaptive**: Works well in both trending and ranging markets
## How It Works
The indicator calculates the ratio between positive and negative price changes over a specified period, converting this into a 0-100 scale oscillator. Unlike traditional RSI which uses Wilder's smoothing method, this approach delivers more immediate signals for momentum changes.
## Trading Applications
### 1. Overbought/Oversold Strategy
- **Oversold (< 32)**: Potential buying opportunity when indicator rises back above 32
- **Overbought (> 68)**: Potential selling opportunity when indicator falls back below 68
### 2. Midline Crossovers
- **Above 50**: Bullish momentum, consider long positions
- **Below 50**: Bearish momentum, consider short positions
### 3. Divergence Trading
- **Bullish Divergence**: Price makes lower lows while indicator makes higher lows
- **Bearish Divergence**: Price makes higher highs while indicator makes lower highs
### 4. Trend Following
- In uptrends: Use pullbacks to the 50 level as entry points
- In downtrends: Use rallies to the 50 level as exit/short points
## Color Coding
- **Green**: Strong bullish momentum (> 68)
- **Red**: Strong bearish momentum (< 32)
- **Yellow**: Neutral zone (32-68)
## Settings
- **Period**: Default 14, adjustable based on your trading timeframe
- **Price Type**: Close, Open, High, Low, or custom source
- **Highlight Zones**: Toggle background highlighting for critical levels
## Best Timeframes
- Most effective on 5-minute to 4-hour charts
- Ideal for day trading and scalping strategies
- Can be combined with trend indicators for confirmation
## Tips for Use
- Don't use in isolation - combine with volume, support/resistance levels
- Works best in liquid, actively traded markets
- Consider using alongside moving averages or MACD
- Always implement proper risk management and stop-losses
## Advantages Over Standard RSI
✓ Faster signal generation
✓ Less lag in volatile markets
✓ Better suited for short-term trading
✓ Clearer momentum shifts
✓ More responsive to sudden price changes
---
**Note**: No indicator is perfect. Always use proper risk management and combine multiple forms of analysis before making trading decisions.
**Disclaimer**: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Session Volume Analyzer [JOAT]
Session Volume Analyzer — Global Trading Session and Volume Intelligence System
This indicator addresses the analytical challenge of understanding market participation patterns across global trading sessions. It combines precise session detection with comprehensive volume analysis to provide insights into when and how different market participants are active. The tool recognizes that different trading sessions exhibit distinct characteristics in terms of participation, volatility, and volume patterns.
Why This Combination Provides Unique Analytical Value
Traditional session indicators typically only show time boundaries, while volume indicators show raw volume data without session context. This creates analytical gaps:
1. **Session Context Missing**: Volume spikes without session context provide incomplete information
2. **Participation Patterns Hidden**: Different sessions have different participant types (retail, institutional, algorithmic)
3. **Comparative Analysis Lacking**: No easy way to compare volume patterns across sessions
4. **Timing Intelligence Absent**: Understanding WHEN volume occurs is as important as HOW MUCH volume occurs
This indicator's originality lies in creating an integrated session-volume analysis system that:
**Provides Session-Aware Volume Analysis**: Volume data is contextualized within specific trading sessions
**Enables Cross-Session Comparison**: Compare volume patterns between Asian, London, and New York sessions
**Delivers Participation Intelligence**: Understand which sessions are showing above-normal participation
**Offers Real-Time Session Tracking**: Know exactly which session is active and how current volume compares
Technical Innovation and Originality
While session detection and volume analysis exist separately, the innovation lies in:
1. **Integrated Session-Volume Architecture**: Simultaneous tracking of session boundaries and volume statistics creates comprehensive market participation analysis
2. **Multi-Session Volume Comparison System**: Real-time calculation and comparison of volume statistics across different global sessions
3. **Adaptive Volume Threshold Detection**: Automatic identification of above-average volume periods within session context
4. **Comprehensive Visual Integration**: Session backgrounds, volume highlights, and statistical dashboards provide complete market participation picture
How Session Detection and Volume Analysis Work Together
The integration creates a sophisticated market participation analysis system:
**Session Detection Logic**: Uses Pine Script's time functions to identify active sessions
// Session detection based on exchange time
bool inAsian = not na(time(timeframe.period, asianSession))
bool inLondon = not na(time(timeframe.period, londonSession))
bool inNY = not na(time(timeframe.period, nySession))
// Session transition detection
bool asianStart = inAsian and not inAsian
bool londonStart = inLondon and not inLondon
bool nyStart = inNY and not inNY
**Volume Analysis Integration**: Volume statistics are calculated within session context
// Session-specific volume accumulation
if asianStart
asianVol := 0.0
asianBars := 0
if inAsian
asianVol += volume
asianBars += 1
// Real-time session volume analysis
float asianAvgVol = asianBars > 0 ? asianVol / asianBars : 0
**Relative Volume Assessment**: Current volume compared to session-specific averages
float volMA = ta.sma(volume, volLength)
float volRatio = volMA > 0 ? volume / volMA : 1
// Volume classification within session context
bool isHighVol = volRatio >= 1.5 and volRatio < 2.5
bool isVeryHighVol = volRatio >= 2.5
This creates a system where volume analysis is always contextualized within the appropriate trading session, providing more meaningful insights than raw volume data alone.
Comprehensive Session Analysis Framework
**Default Session Definitions** (customizable based on broker timezone):
- **Asian Session**: 1800-0300 (exchange time) - Represents Asian market participation including Tokyo, Hong Kong, Singapore
- **London Session**: 0300-1200 (exchange time) - Represents European market participation
- **New York Session**: 0800-1700 (exchange time) - Represents North American market participation
**Session Overlap Analysis**: The system recognizes and highlights overlap periods:
- **London/New York Overlap**: 0800-1200 - Typically the highest volume period
- **Asian/London Overlap**: 0300-0300 (brief) - Transition period
- **New York/Asian Overlap**: 1700-1800 (brief) - End of NY, start of Asian
**Volume Intelligence Features**:
1. **Session-Specific Volume Accumulation**: Tracks total volume within each session
2. **Cross-Session Volume Comparison**: Compare current session volume to other sessions
3. **Relative Volume Detection**: Identify when current volume exceeds historical averages
4. **Participation Pattern Analysis**: Understand which sessions show consistent high/low participation
Advanced Volume Analysis Methods
**Relative Volume Calculation**:
float volMA = ta.sma(volume, volLength) // Volume moving average
float volRatio = volMA > 0 ? volume / volMA : 1 // Current vs average ratio
// Multi-tier volume classification
bool isNormalVol = volRatio < 1.5
bool isHighVol = volRatio >= 1.5 and volRatio < 2.5
bool isVeryHighVol = volRatio >= 2.5
bool isExtremeVol = volRatio >= 4.0
**Session Volume Tracking**:
// Cumulative session volume with bar counting
if londonStart
londonVol := 0.0
londonBars := 0
if inLondon
londonVol += volume
londonBars += 1
// Average volume per bar calculation
float londonAvgVol = londonBars > 0 ? londonVol / londonBars : 0
**Cross-Session Volume Comparison**:
The system maintains running totals for each session, enabling real-time comparison of participation levels across different global markets.
What the Display Shows
Session Backgrounds — Colored backgrounds indicating which session is active
- Pink: Asian session
- Blue: London session
- Green: New York session
Session Open Lines — Horizontal lines at each session's opening price
Session Markers — Labels (AS, LN, NY) when sessions begin
Volume Highlights — Bar coloring when volume exceeds thresholds
- Orange: High volume (1.5x+ average)
- Red: Very high volume (2.5x+ average)
Dashboard — Current session, cumulative volume, and averages
Color Scheme
Asian — #E91E63 (pink)
London — #2196F3 (blue)
New York — #4CAF50 (green)
High Volume — #FF9800 (orange)
Very High Volume — #F44336 (red)
Inputs
Session Times:
Asian Session window (default: 1800-0300)
London Session window (default: 0300-1200)
New York Session window (default: 0800-1700)
Volume Settings:
Volume MA Length (default: 20)
High Volume threshold (default: 1.5x)
Very High Volume threshold (default: 2.5x)
Visual Settings:
Session colors (customizable)
Show/hide backgrounds, lines, markers
Background transparency
How to Read the Display
Background color shows which session is currently active
Session open lines show where each session started
Orange/red bars indicate above-average volume
Dashboard shows cumulative volume for each session today
Alerts
Session opened (Asian, London, New York)
High volume bar detected
Very high volume bar detected
Important Limitations and Realistic Expectations
Session times are approximate and depend on your broker's server timezone—manual adjustment may be required for accuracy
Volume data quality varies significantly by broker, instrument, and market type
Cryptocurrency and some forex markets trade continuously, making traditional session boundaries less meaningful
High volume indicates participation level only—it does not predict price direction or market outcomes
Session participation patterns can change over time due to market structure evolution, holidays, and economic conditions
This tool displays historical and current market participation data—it cannot predict future volume or price movements
Volume spikes can occur for numerous reasons unrelated to directional price movement (news, algorithmic trading, etc.)
Different instruments exhibit different session sensitivity and volume patterns
Market holidays and special events can significantly alter normal session patterns
Appropriate Use Cases
This indicator is designed for:
- Market participation pattern analysis
- Session-based trading schedule planning
- Volume context and comparison across sessions
- Educational study of global market structure
- Supplementary analysis for session-based strategies
This indicator is NOT designed for:
- Standalone trading signal generation
- Volume-based price direction prediction
- Automated trading system triggers
- Guaranteed session pattern repetition
- Replacement of fundamental or sentiment analysis
Understanding Session Analysis Limitations
Session analysis provides valuable context but has inherent limitations:
- Session patterns can change due to economic conditions, holidays, and market structure evolution
- Volume patterns may not repeat consistently across different market conditions
- Global events can override normal session characteristics
- Different asset classes respond differently to session boundaries
- Technology and algorithmic trading continue to blur traditional session distinctions
— Made with passion by officialjackofalltrades
Max Pain Options [QuantLabs] v5 (Balanced)Institutional Grade Options Analysis: Max Pain, Gamma & Pin Risk
For years, TradingView users have been flying blind without access to Options Chain data. QuantLabs: Max Pain & Gamma Exposure changes that. This is not just a support/resistance indicator—it is a sophisticated, algorithmic model that reverse-engineers the incentives of Market Makers using synthetic Black-Scholes logic.
This tool visualizes the "invisible hand" of the market: the hedging requirements of large dealers who are forced to buy or sell to keep their books neutral.
CORE FEATURES:
🔴 Max Pain Gravity Model The bright red line represents the "Max Pain" strike—the price level where the maximum amount of Options Open Interest (Calls + Puts) expires worthless.
Theory: As OpEx (Expiration) approaches, Market Makers maximize profits by pinning the price to this level.
Strategy: Use this as a mean-reversion target. If price is far away, look for a snap-back to the red line.
🟣 Gamma Exposure Profiles (The Purple Lines) These neon histograms show you the estimated "Gamma Walls."
Long Gamma: Dealers trade against the trend (stabilizing price).
Short Gamma: Dealers trade with the trend (accelerating volatility).
Visual: The larger the purple bar, the harder it will be for price to break through that level.
📦 Algorithmic "Pin Risk" Zones The dashed red box highlights the "Kill Zone." When price enters this area near expiration, volatility often dies as dealers pin the asset to kill retail premiums.
Warning: Do not expect breakouts while inside the Pin Zone.
📊 Institutional HUD A clean, non-intrusive dashboard provides real-time Greeks and risk analysis:
Pin Risk: High/Medium/Low probability of a pinned close.
Exp Mode: Detects if the market is in "Short Gamma" (Squeeze territory) or "Long Gamma" (Chop territory).
HOW IT WORKS (The Math): Since live options data is not available via Pine Script, this engine uses a proprietary Synthetic OI Distribution Model. It inputs Volume, Volatility (IV), and Time-to-Expiry into a modified Black-Scholes equation to probability-map where the heavy open interest likely sits.
SETTINGS & CUSTOMIZATION:
Responsiveness: Tuned for the "Goldilocks Zone" (Spread: 12, Decay: 22) to catch local liquidity walls without over-fitting.
Visuals: Designed for Dark Mode. High-contrast Neon aesthetics for maximum readability.
SCOTTGO - Float, Change %, Vol & RVol DataFloat, Vol & Short Data Dashboard
Overview
The Float, Vol & Short Data Dashboard is a professional-grade monitoring tool designed for equity traders who need to track supply, demand, and momentum in real-time. By aggregating float size, relative volume, and short-selling activity into a clean, customizable table, this script helps you identify high-conviction trade setups without cluttering your price chart.
Key Metrics Included
Float: (Shares) – Instantly see the available supply of shares to gauge potential volatility.
Change %: (From close) – Tracks the percentage gain/loss since the previous day's closing price.
Change %: (From open) – Monitors intraday strength by calculating the move from the 9:30 AM EST market open.
Volume: – Displays current daily volume with automated formatting (K, M, B).
RVOL: (Daily) – Relative Volume compared to a 10-day SMA; essential for spotting "volume-fueled" breakouts.
Short %: (Approx.) – Calculates the daily Short Volume Ratio (Short Volume / Total Volume), providing a real-time proxy for short-seller sentiment.
Professional Customization
This script was built with a focus on UI/UX:
Three-Row Header System: Features high-contrast main titles with muted-grey sub-titles for maximum readability.
Smart Color Logic: Price changes automatically toggle between green and red, while RVol highlights in orange when activity exceeds 1.5x average.
Adjustable Layout: Change the table position, text size, and background opacity.
Column Spacing: Includes a custom slider to adjust the horizontal gap between data columns, ensuring the dashboard fits any screen resolution.
How To Use
Add the script to your chart and use the Settings menu to toggle metrics or adjust the Column Spacing to your preference. Ideal for day traders and swing traders monitoring US Equities where float and short volume data are most impactful.
NW Curved Interest ZonesThis indicator automatically scans and plots curved (non-linear) interest zones using Nadaraya-Watson kernel regression smoothing to create a dynamic, adaptive "mean" curve. It then identifies and draws the strongest parallel curved zones where price has repeatedly bounced with statistical validation – perfect for non-linear, organic trending or ranging markets.
How It Works (Technical Methodology)
Curved Mean Calculation
The core curve is generated via Nadaraya-Watson kernel regression (Gaussian weighting):
Smooths closing prices over the lookback period with user-adjustable bandwidth (default 30.0) – higher = smoother/less reactive, lower = tighter fit.
Range methods: "Lookback Bars" (default 400), "Fixed Start Date", or "Entire History".
Channel Envelope Detection
Measures maximum deviations above/below the smoothed curve across the period.
Defines full channel height and base offset for percentage-based zoning.
Stable Update & Anti-Repaint Logic
Full recalculation only after user-defined closed bars (default 50) OR on forced break (if price escapes visible zone envelope).
All data (curve points, slope for projection, levels, scores) snapshotted and frozen until next confirmed update.
Prevents flickering/live-bar repainting while allowing adaptive refresh.
Auto Mode Scanning
When enabled:
Scans channel height in % steps (default 1.0%).
Each candidate creates a thin curved zone parallel to the NW curve (thickness % of price, default 0.01%).
Counts valid "hits": Price touches zone and holds without break for user-defined bars (default 20).
Break source: "Close" (conservative) or "Wick" (sensitive).
Direction inferred from close relative to zone center.
Level Selection
Ranks by hit count, filters close clusters (min distance %), limits to max zones (default 8).
Manual mode: Directly applies user percentages (e.g., 0/50/100 for bottom/median/top).
Curved Zone Construction
Zones drawn as smooth, filled polylines (curved=true) following the kernel regression shape.
Historical section uses exact smoothed points; future projection uses last slope for realistic extension.
Optional long future extension or limited projection.
Dynamic coloring: Supply (above price), Demand (below price).
Dashboard
Table displays current price at each zone (stable during bar), % level, hit count (green when strong).
Update status with countdown or "TRIGGERED!" on force break.
How to Use
Ideal for markets with natural curvature (parabolic moves, rounded bottoms/tops, organic trends).
High hit counts: Proven curved support/resistance – expect strong reactions.
Bandwidth: Higher (50+) for major structural curves; lower (10–20) for shorter-term adaptive zones.
Hold Bars: Increase for stricter validation in noisy assets.
Force Break Update: Keeps zones relevant during strong trends/breakouts.
Supply Zones (Curved above price): Dynamic overhead resistance.
Demand Zones (Curved below price): Dynamic underlying support.
Confluence: Excellent with volume, order blocks, or divergence for entries/exits.
Manual Mode: Quickly overlay classic % (e.g., channel parallels).
Smooth, non-repainting curved zones provide superior visual alignment to real price action compared to linear channels.
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
MA Crossover with R SquaredThis indicator enhances the classic Moving Average (MA) crossover strategy with statistical filtering and prediction capabilities.
Let me explain what it does:
Instead of just showing when a fast MA crosses above/below a slow MA, this indicator adds R² (R-squared) filtering to identify higher-quality crossovers and predicts future crossovers.
What is R²?
R² (Coefficient of Determination) is a statistical measure that shows how well one variable explains the movement of another variable. In simpler terms:
R² = 1.0: Perfect relationship - 100% of the movement in one MA is explained by the other MA
R² = 0.8: Strong relationship - 80%
R² = 0.5: Moderate relationship - 50%
R² = 0.0: No relationship - 0%
Imagine two cars driving on a highway:
High R² (0.9): Both cars are in the same lane, moving together consistently
Low R² (0.3): One car is weaving between lanes while the other stays straight - poor coordination.
Traditional MA crossovers often generate false signals during:
Choppy markets (price bouncing around)
Sideways/ranging markets
Low volatility periods
News events causing temporary spikes
The R² Solution:
R² acts as a "quality filter" that answers: "How meaningful this crossover is?"
What this means:
Before R² filtering: Every crossover generates a signal
After R² filtering: Only crossovers with R² > threshold generate signals
Result: Fewer but higher-quality signals.
MARKET REGIME DETECTION
High R² (> 0.7): Strong trending market - MA crossovers are reliable
Medium R² (0.4-0.7): Moderate trending - use with caution
Low R² (< 0.4): Choppy/range-bound market - avoid MA crossover signals
Increasing R²: MAs are converging/moving together more closely
Decreasing R²: MAs are diverging/losing coordination
Sudden R² drop: Potential market regime change.
Why Square the Correlation?
Correlation: Measures direction AND strength (-1 to +1)
R²: Measures strength ONLY (0 to 1)
In trading: We care about relationship strength, not direction
Direction is already indicated by crossover type (bullish/bearish)
Real-World Interpretation:
If R² = 0.64, it means:
64% of the variation in the fast MA is explained by the slow MA
36% is "noise" or unexplained movement
The MAs are moderately coordinated.
R² Trend Confirmation:
Entry: When crossover occurs AND R² is above threshold
Confirmation: R² continues rising after entry
Exit: R² drops below threshold (relationship weakening)
Multi-Timeframe R² Analysis
Check R² on higher timeframe for trend context
Use current timeframe for entry signals
Example: Daily R² > 0.7 gives bullish bias, use 1-hour for entries.
R² LIMITATIONS & CAUTIONS
1. Lagging Nature
R² is calculated from past data
By the time R² is high, the trend may already be established
2. Not a Standalone Indicator
R² should confirm other signals, not generate them alone
Always combine with price action, volume, support/resistance
3. Curve Fitting Risk
Don't over-optimize R² thresholds on historical data
What worked in the past may not work in the future
Use R² as a filter, not a predictor
4. Market-Specific Behavior
R² thresholds that work in trending stocks may fail in Forex
Cryptocurrencies may require different R² settings than commodities
Always test on your specific market/instrument
Before Taking Any Signal:
✅ Does the crossover have a colored circle? (R² > threshold)
✅ What's the R² number shown? (Higher = better)
✅ Is R² rising or falling? (Rising = strengthening relationship)
✅ Check history table - what happened with similar R² values?
✅ Consider prediction - does it align with current signal?
Simple R² Rules of Thumb:
R² > 0.8: Excellent signal quality
R² 0.6-0.8: Good signal quality
R² 0.4-0.6: Moderate - use additional confirmation
R² < 0.4: Poor - avoid or use extreme caution
Think of R² as:
A quality control inspector for MA crossovers
A relationship therapist for your moving averages
A statistical bouncer that only lets strong signals through
Higher win rate + Better risk/reward = More profitable trading
This script transforms the basic "when lines cross" approach into a sophisticated, statistically-validated trading system. R² is the secret sauce that separates random crossovers (Golden/Death) from meaningful trend changes.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
ATR Based SL & TP Targets from Entry (Long/Short)ATR-based target helper for manual trade planning.
Plots a single entry level plus ATR-based stop loss and take-profit targets on the price scale. The script uses a standard ATR (default 14) and lets you select the position side (Long or Short). For Long positions, it places the stop loss 1× ATR below the entry and take-profit levels at 1, 2, 3, and 4× ATR above. For Short positions, it mirrors this logic, placing the stop 1× ATR above the entry and targets 1–4× ATR below. You can adjust the entry price and ATR multipliers from the settings, and all levels update instantly, giving a clean visual of your risk and reward targets on the price scale.
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Tip:
After entry, and after I set my SL & TP levels, I hide the indicator until it's needed again.
