Statistics
Probabilidad Alcista / Bajista por Volumen yvvProbabilidad del movimiento utilizando la direccion y el volumen
Binary Options Signals Provider M1-H4 [TradingFinder]🔵 Introduction
Binary Options trading is highly sensitive to timing, precision, and short-term price reactions. Unlike other trading styles, entries in binary markets must be executed at exact moments when price behavior, momentum, and liquidity conditions align within a very limited time window.
This Screener is designed to generate Binary Options trading signals based on pure price action analysis, market structure, and liquidity behavior rather than lagging indicators. The signals are not random alerts; they are produced only when price reacts at critical decision points defined by supply and demand zones.
The core logic focuses on how price behaves when it reaches areas of concentrated orders, where liquidity absorption or injection typically leads to fast directional moves. These reactions are evaluated through candlestick structure, momentum shifts, and false breakout behavior, which are essential for short-duration binary setups.
By combining order blocks, Fair Value Gaps, imbalances, and breaker structures with strict candlestick confirmation, this indicator identifies high-probability Long and Short Binary Options signals suitable for short-term expirations across multiple timeframes.
Rather than predicting the market, the indicator reacts to real-time order flow and liquidity interaction, making it a structured and disciplined tool for traders who rely on precise execution in Binary Options environments.
Long Signal :
Short Signal :
🔵 How to Use
The first step is to identify valid structural zones such as order blocks, Fair Value Gaps, imbalances, or breaker structures. These zones represent areas where order flow has previously shown a strong directional response and where future reactions are likely to occur.
Once a zone is identified, the indicator continuously monitors price behavior as it approaches and interacts with that area. A signal is generated only when price reaches a valid zone, liquidity behavior becomes evident, and a confirming candlestick structure forms in alignment with the expected direction.
This approach ensures that Binary Options signals are issued only during moments of active market participation, where short-term directional moves have the highest probability of success.
🟣 Long Signal
A Long Binary Options signal is generated when price reaches a validated demand zone, such as a bullish order block, an unfilled bullish Fair Value Gap, a lower-structure imbalance, or a bullish breaker.
As price enters the demand area, the indicator evaluates whether sell-side liquidity is being absorbed. This is reflected through changes in candlestick structure and momentum behavior.
Confirmation occurs when bullish price action patterns form, including structures such as :
Pin Bars with long lower wicks
Bullish Engulfing patterns
Rejection candles
False breakouts of local lows
Short-term momentum continuation after liquidity sweep
When these conditions align within or near the demand zone, the indicator issues a Long signal, indicating a high-probability bullish reaction suitable for Binary Options execution with short expirations.
🟣 Short Signal
A Short Binary Options signal is generated when price reaches a validated supply zone, such as a bearish order block, a bearish Fair Value Gap, an upper-structure imbalance, or a bearish breaker.
In these areas, price often collects buy-side liquidity above nearby highs before reversing. The indicator monitors this behavior and waits for clear bearish confirmation through candlestick structure and momentum shift.
Bearish confirmation patterns include :
Pin Bars with long upper wicks
Bearish Engulfing patterns
Rejection candles
Indecision followed by strong bearish displacement
False breakouts of local highs
Once price confirms rejection or liquidity exhaustion within or near the supply zone, the indicator generates a Short signal, highlighting a short-term bearish opportunity optimized for Binary Options trading.
🔵 Settings
Last Candle in Signal Direction: When On, a signal is issued only if the last candle moves in the direction required by the signal.
Signal in Nearly Zone : When enabled, the signal becomes valid even if the candle is near the zone rather than strictly inside it. When disabled, only signals formed inside the zone are allowed.
Table on Chart : This setting enables or disables the on chart screener table. When enabled, the table displays signal status, correlation information, and symbol data directly on the chart. When disabled, the chart remains clean with no table overlay.
Number of Symbols : This option controls how many symbol pairs are displayed in the screener table. Users can choose between four or six pairs depending on screen size and personal preference.
Table Size : This setting adjusts the visual scale of the screener table. Smaller sizes are suitable for minimal layouts, while larger sizes improve readability when monitoring multiple pairs simultaneously.
Table Mode : This setting offers two layout styles for the signal table.
Basic mode displays symbols in a single vertical column, using more vertical space and providing straightforward readability.
Extended mode arranges symbols in pairs side by side, optimizing screen space with a more compact and efficient layout.
Table Position : This option defines where the screener table is placed on the chart. The table can be positioned in any corner or central area to avoid overlapping with price action or other indicators.
🔵 Conclusion
Binary Options trading requires precise timing, disciplined execution, and a clear understanding of short-term market behavior. This indicator is built on the principle that high-quality binary signals emerge not from prediction, but from real-time price reactions at key liquidity zones. By combining supply and demand analysis with structural elements such as order blocks, Fair Value Gaps, imbalances, and breaker structures, the indicator filters out random price movements and focuses only on moments when the market is actively responding to order flow.
Signals are generated exclusively when price reaches a validated zone, liquidity behavior becomes evident, and a confirming candlestick forms at the correct location. This structured process helps reduce emotional or impulsive entries and maintains consistency in execution. Rather than acting as a standalone decision-maker, the indicator functions as a confirmation and timing tool, assisting traders in identifying high-probability Long and Short Binary Options setups across multiple timeframes while remaining aligned with the underlying mechanics of price and liquidity.
Poseidon Trail [ReiConcept]🔱 POSEIDON TRAIL - Premium Multi-Timeframe Trading System
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🎯 FEATURES
✅ Multi-Timeframe BSI Algorithm (4 TF + optional Booster)
✅ Instant Trail Stop from entry
✅ Automatic asset detection with adaptive parameters
✅ Advanced backtest with dates (first trade, drawdown, streaks)
✅ Session alerts (30 min warning before end)
✅ Visual $100 risk scale
✅ Heiken Ashi warning system
✅ Anti-repaint guaranteed
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📊 HOW IT WORKS
The indicator analyzes confluence across multiple timeframes:
🟢🟢🟢🟢 = LONG Signal (Buy)
🔴🔴🔴🔴 = SHORT Signal (Sell)
Instant trailing stop activates from entry to protect your capital.
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📈 BACKTESTED RESULTS
- Gold H4: 627 trades | 75.3% winrate
- EUR/USD M15: 465 trades | 83.2% winrate
- EUR/USD D1: 371 trades | 78.2% winrate
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⚙️ MAIN SETTINGS
- SL $ Base: Your risk in dollars (auto-adjusted by TF)
- Trail %: Trailing stop percentage (auto per asset)
- Booster: Enables 5th timeframe for precision
- Session: Trading hours with alerts
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🔒 ACCESS
⚠️ LIMITED TO 200 LICENSES
Premium invite-only indicator
▶️ Contact: rei@reiconcept.fr
🌐 Website: reiconcept.fr
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© ReiConcept 2026 - All rights reserved
Dynamic Ladder Leverage AllocatorOverview This indicator is designed for long-term investors who utilize a "Dual Engine" portfolio strategy—mixing a Safe Asset (e.g., VOO, QQQ) with a Leveraged Risk Asset (e.g., UPRO, TQQQ).
The Ladder Leverage Allocator mathematically calculates the optimal risk exposure based on market drawdowns. Instead of guessing when to "buy the dip," this script provides a systematic, step-by-step roadmap to increasing leverage as the market falls, and decreasing leverage (taking profits) as the market recovers.
How It Works The strategy is based on a "Sticky All-Time High" logic. It tracks the highest close price and calculates the current drawdown percentage.
Fair Weather (Base Mode): When the market is near highs, the indicator suggests a conservative "Base Leverage" (e.g., 25% or 35%).
The Ladder Down (Risk On): For every defined step the market drops (e.g., every -5%), the indicator signals a "RISK UP" alert, increasing your target allocation to the leveraged asset. This forces you to buy low aggressively.
The Cap: The script includes a hard "Max Leverage Cap" (default 80%) to prevent total account exposure during catastrophic crashes.
The Recovery Reset (Risk Off): Unlike simple rebalancing, this script waits for a confirmed bounce (Recovery Trigger). Once the market recovers by a set percentage from the bottom, it signals a "RESET," telling you to return to Base Leverage. This effectively locks in the profits from the dip-buying phase.
Key Features
Sticky ATH Tracking: Automatically tracks the true drawdown from the cycle peak.
Customizable Ladder Steps: Define your own Drop % (Trigger) and Risk Increase %.
Bar Confirmation: Option to wait for the Daily Close to prevent intraday "fake-out" alerts.
Visual Dashboard: A clean table in the bottom-right corner displays the current Stage, Drawdown, and Target Allocation.
Automated Alerts: Built-in alerts for "Risk On" and "Risk Off" events, ready for automation.
How to Use
Add this indicator to a Daily (1D) chart for your underlying index (e.g., VOO for the S&P 500, QQQ for the Nasdaq).
Configure Inputs:
Base Leverage: Your standard allocation to the 3x ETF (e.g., 25%).
Drop Step: How much the market must fall to trigger a rebalance (e.g., 5%).
Max Cap: The maximum risk you are willing to take (e.g., 80%).
Set Alerts: Create an alert using the "Once Per Bar Close" setting.
Risk Up: Increase your 3x ETF position.
Reset: Decrease your 3x ETF position (sell/profit).
Disclaimer This script is for informational and educational purposes only. Trading leveraged ETFs (3x) involves significant risk and is not suitable for all investors. Past performance of a ladder strategy does not guarantee future results.
BUILDERThe Frequency (%) tells you the historical probability of the price range exceeding that specific volatility level.
Here is exactly what it calculates:
ADR Frequency: "Over the last 365 days, how often (what % of days) did the daily range exceed the current ADR?"
ADR x3 Frequency: "How often did the price move 3 times the normal daily range?" (This happens very rarely, usually <1% of the time, so if you see a price at ADR x3 layers, it's an extreme outlier).
AWR Frequency: Same logic, but looking at the last 52 weeks.
How to use it:
High % (e.g. 50%+): Means this level is hit very often. Passing this level is "normal" behavior.
Low % (e.g. 5%): Means price rarely extends this far. If price reaches this level, it is statistically overextended and a reversal is more likely.
0%: Means this level of volatility has effectively never happened in the lookback period (or extremely rarely).
It basically answers: "Is today's move normal, or is it a rare statistical event?"
Market State Tracker🙏🏻 This is MST (Market State Tracker) , it’s main purpose is to tell whether it's better to take a predefined take-profit, or to expect a runner.
Unlike widely-known alternatives, this model is made with top state-space and innovation modelling tech, and it takes the necessary info ‘itself’ (not the derivatives) from the right places. In fancy terms it’s not even a model, it’s an ensemble of several models. If you want to get familiar with other work of mine like this, check UAT .
^^ compared with reverse-engineered Jurik Moving Average in moving window mode
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Main use case : take-profit engine. It tells whether to hold a position past its primary 1:1 Risk:Reward take-profit up to the opposite entry), or to close it right away at 1:1.
Alternative use case : market state operator. Alternatively the study can be used as a primary market-state operator that would actually define further strategies and actions. It’s very useful if your strategies are not market regime agnostic. Otherwise, use it only as the main use case tells.
Other use cases : anything that other mainstream studies are doing, but better* (proceed to the Tech Note in the end of the post): trend detection, price smoothing, crossovers, dynamic S&R etc.
…
How to use:
The script has 2 studies, lower study (blue and red lines) and upper study (purple and gray lines).
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Lower study is less variance & more bias option , in general it’s less preferred than upper study, but if none of your other system layers do not gauge directional info directly and you wanna keep it simply this way, this lower study is what you need.
Lower study states -> advised take-profit strategy:
When: negative gamma (red line) is above positive gamma (blue line), market is biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
When: positive gamma (blue line) is above negative gamma (red line), market is biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
...
Upper study is the preferred one in general because of its higher informational content. Most probably, if you’re already gaining directional info on your other system layers, this one will likely provide you information you don’t gain there. Here the purple line is the lead state estimate, and the gray line is the lagged state estimate, and current price = current bar POC or HLC3 (inferred POC).
Upper study states -> advised take-profit strategy:
When: current price > purple line > gray line, market is heavily biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
When: current price < purple line < gray line, market is heavily biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
When: purple line > gray line > current price, market is biased towards another buy wave, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
When: purple line < gray line < current price, market is biased towards another sell wave, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
All other price x purple line x gray line patterns are considered neutral, and both longs and shorts are done with minimal 1:1 Risk:Reward.
Important: if you trade based on current session activity, you have to track current states. If you trade based on previous session levels, you only need the last state of that session that originated the level.
Important 2: The script has a setting called “blend”. The differences between all 3 options provided there are extremely low, and moreover it doesn’t change the main part: location of crossovers. So I left it here because I genuinely don’t know yet which of these is the most primordial math option for the current context xd.
...
* now about this:
Tech note
In short: it gains all the information without touching artifacts with the best possible math that runs on O(1) time complexity.
The ‘final’ time complexity of the whole method is O(1), both in moving and expanding window modes.
The main short-term forecasting & innovations engine, I called it VAPM (Volume Acceleration Price Model) , is inspired by how prediction and NaN fills works on the lowest hardware level, processor cache etc. It’s based on splines , the most fundamental geometrical principles. This is the stuff you can run on FPGAs doing UHFT, not even HFT.
Based on lead/lag and negative/positive relationships with the VAPM forecasts, innovations are separated into 4 different streams.
Each stream of these 4 then discovers its own adaptive gain (limited by theoretical constraints of the exponential distribution each stream follows).
Then, 4 separate PVA (Position Velocity Acceleration) state-space models are run on POC estimate of each bar, using previously computed 4 different adaptive gains. Initial impulse response of the models was almost exactly matched with the Extended Beta(2, 2) Window, provided in UAT open access script (heck the code & description, it would worth it).
Then these 4 separate trackers are grouped pairwise and blended into 2, resulting in the lead/lag model.
Additionally, 4 adaptive gains are blended into 2 separate pos/neg models. I offer 3 blending options: max(), contraharmonic mean, and Log-Sum-Exp. The differences of outputs based on these 3 options are almost negligible.
All possible hidden issues like info leakage from previous finished expanding windows, or special cases of forecasts at the very few first datapoints, are taken into account and solved. The whole method has zero constants and zero pre-optimized or arbitrary values, everything based on fundamental math entities / objects.
…
∞
StO Price Action - Bank Timings [Demo]Short Summary
- Visualizes market activity intensity based on historical price movement data (Oanda, M5)
- Highlights zones where price moves most frequently across market times
- Lvl 0 marks the highest intensity areas
- Includes experimental projection into future bars
- Supported markets: XAU/USD (Gold), EUR/USD (EU) with Lvl 0 & 1
Demo Restrictions
- Timeframe dropdown selections are limited
- Line style dropdown selections are limited
- Multi-timeframe functionality is removed or restricted
- Alerts are disabled or completely removed
- No code logic runs behind disabled GUI elements
Full Description
Overview
- Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.)
- Identifies time zones with the highest concentration of price activity
- Designed to show when markets are statistically more active
- Supported are three limited marks
Intensity Levels
- Lvl 0 represents the highest concentration of price movement
- Lvl 1 shows strong but slightly reduced activity
- Lvl 2 marks moderate recurring activity
- Lvl 3 highlights lower but still relevant activity zones
- Each level can be enabled or disabled independently
Visualization
- Intensity levels are visualized using colored bars or markers
- Stronger intensity levels use more prominent coloring
- Works across different symbols and markets
Future Bars Projection
- Experimental feature to project intensity into future bars
- Helps anticipate periods of increased market activity
- Projection is time-based (vertical bars), not price-based
- Best suited for timeframes below H1
Future Shift Control
- Allows shifting projected intensity forward or backward in time
- Shift values are defined in hours (sometimes needed)
- Useful for session alignment and market timing
Notes
- Indicator is based on historical statistical aggregation
- No prediction of direction, only activity intensity
- Experimental future projection may vary by market
- Best used as a contextual timing tool
StO Price Action - Bank Timings [Light]Short Summary
- Visualizes market activity intensity based on historical price movement data (Oanda, M5)
- Highlights zones where price moves most frequently across market times
- Lvl 0 marks the highest intensity areas
- Includes experimental projection into future bars
- Supported markets: XAU/USD (Gold), XAG/USD (Silver) EUR/USD (EU), BTC (Bitcoin) with Lvl 0 & 1
Light Restrictions
- Timeframe dropdown selections are limited
- Line style dropdown selections are limited
- Multi-timeframe functionality is removed or restricted
- Alerts are disabled or completely removed
- No code logic runs behind disabled GUI elements
Full Description
Overview
- Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.)
- Identifies time zones with the highest concentration of price activity
- Designed to show when markets are statistically more active
Intensity Levels
- Lvl 0 represents the highest concentration of price movement
- Lvl 1 shows strong but slightly reduced activity
- Lvl 2 marks moderate recurring activity
- Lvl 3 highlights lower but still relevant activity zones
- Each level can be enabled or disabled independently
Visualization
- Intensity levels are visualized using colored bars or markers
- Stronger intensity levels use more prominent coloring
- Works across different symbols and markets
Future Bars Projection
- Experimental feature to project intensity into future bars
- Helps anticipate periods of increased market activity
- Projection is time-based (vertical bars), not price-based
- Best suited for timeframes below H1
Future Shift Control
- Allows shifting projected intensity forward or backward in time
- Shift values are defined in hours (sometimes needed)
- Useful for session alignment and market timing
Notes
- Indicator is based on historical statistical aggregation
- No prediction of direction, only activity intensity
- Experimental future projection may vary by market
- Best used as a contextual timing tool
MNQ Risk TableMNQ Risk Table is a simple visual risk calculator for MNQ position sizing.
It generates a transparent on-chart table that shows your stop size (points), the recommended MNQ contracts, and the total risk used based on your chosen dollar risk.
✅ Customizable risk amount ($)
✅ Adjustable stop range (10–100 pts) + step size
✅ Optional zebra rows for readability
✅ Optional highlighting when risk used is close to your target
✅ Works great for prop / eval accounts and quick sizing decisions
SGX/GIFT Nifty Non-Indian Hours BoxThis scripts draws a box around the high and low of both the PRE-MARKET and POST-MARKET hours of SGX Nifty.
Monte Carlo Simulation BandsMonte Carlo Simulation v2.4.2
Plots a one-bar-ahead price distribution band built from many simulated paths. The green band shows empirical percentiles of simulated final prices—these are distribution bounds, not a confidence interval of the mean.
What It Does
Simulates many one-bar price paths using a directional random walk with volatility scaling (uniform shocks, not Gaussian GBM).
Plots Mean Forecast, Median Forecast, and configurable percentile bounds (default 5th/95th).
Optional rolling HTF-days mean line (yellow) for trend context.
Optional labels and forward projection lines.
Alerts when the confirmed close breaks above or below the percentile band.
Non-Repainting & HTF Behavior (Fail-Closed)
All calculations are gated to confirmed bars only via explicit no_repaint_ok gate (barstate.isconfirmed).
If you select an HTF Resolution, the script uses a strict request.security(..., lookahead_off, gaps_off) pipeline.
If HTF data is unavailable, outputs are na—no silent fallback to chart timeframe.
A separate "HTF Alignment (lagged)" plot shows the prior HTF close (htf_price ) as visual proof of no look-ahead.
Volatility Source & Scaling
If "Use Historical Volatility" is enabled, volatility is estimated from log returns on the selected resolution (HTF if set, otherwise chart).
Annualization adapts to session type:
Equities: 6.5 hours/day, 252 trading days/year
Crypto: 24 hours/day, 365 days/year
Substeps increase path smoothness within the same one-bar horizon—they do not extend the forecast to multiple bars.
Key Inputs
• Prob Up / Prob Down — Must satisfy Prob Up + Prob Down ≤ 1.0. If violated, simulation is skipped and table shows "✗ PROB>1".
• # Simulations / # Substeps — Higher = smoother/more stable, but slower. Default 100×100 is a good balance.
• Lower/Upper Percentile — Define the band width (e.g., 5 and 95 for a 90% distribution band).
• Run On Last Bar Only — Performance mode (recommended). Skips historical computation; updates on each new confirmed bar.
• Resolution (HTF) — Leave blank for chart timeframe, or set to Weekly/Monthly for HTF-aligned simulation.
• Crypto 24/7 Session? — Enable for crypto markets to use correct annualization (365d, 24h).
How to Use (Quickstart)
Start with defaults and keep Run On Last Bar Only = true for speed.
Set Prob Up and Prob Down so their sum ≤ 1.0 (e.g., 0.5 + 0.5 = 1.0 for neutral).
Enable "Use Historical Volatility" and set a Volatility Lookback (e.g., 20 bars) for data-driven vol.
Set Resolution (HTF) if you want the model to run on higher timeframe data (e.g., 1W). Expect updates only when a new HTF interval starts.
Choose percentiles (e.g., 5 and 95) to define your distribution band width.
Enable alerts for "Price Above Upper Percentile" or "Price Below Lower Percentile" to get notified of breakouts.
Limitations & Disclosures
Forecast horizon is one bar only. Substeps do not create a multi-bar forecast.
Model uses uniform shocks with direction chosen from Prob Up/Down. This is not Geometric Brownian Motion (GBM) and is not calibrated to any option-implied distribution.
Bounds are percentiles of final simulated prices, not a statistical confidence interval of the mean.
HTF mode updates at the start of a new HTF interval (first chart bar where the HTF timestamp changes), so the band appears "step-like" in realtime.
Historical volatility requires enough bars for the selected lookback; until then, values may be na.
Performance depends on Sims × Substeps; extreme settings (e.g., 500×500) can be slow.
This indicator does not predict direction—it shows a probabilistic range based on your inputs.
Structura Candles Volume 1 v1.0█ OVERVIEW
Structura Candles Volume 1 is an advanced candlestick pattern recognition indicator based on the research methodology of Thomas N. Bulkowski's "Encyclopedia of Candlestick Charts." This indicator identifies 19 statistically-validated candlestick patterns and provides real-time backtesting against your current chart.
█ METHODOLOGY
Unlike traditional candlestick indicators that rely on theoretical pattern behavior, this script implements Bulkowski's empirical approach:
- Trend Detection: 10-period EMA to define short-term trend context
- Tall Candle Filter: 146% of 22-day average height threshold (statistically significant candles)
- Breakout Confirmation: Tracks whether price breaks above pattern high or below pattern low within a user-defined window
- Non-Repainting: Signals only confirm on bar close
█ PATTERNS INCLUDED
LONG Signals (Bullish):
- Three-Line Strike Bearish (84% reversal rate per Bulkowski)
- Engulfing Bullish
- Morning Star / Morning Doji Star
- Belt Hold Bullish
- Abandoned Baby Bullish
- Rising Window
- Three Inside Up
- Three Outside Up
SHORT Signals (Bearish):
- Engulfing Bearish
- Three Black Crows
- Evening Star / Evening Doji Star
- Abandoned Baby Bearish
- Two Black Gapping
- Falling Window
- Belt Hold Bearish
- Three Inside Down
- Three Outside Down
█ FEATURES
- Real-time pattern detection with LONG/SHORT direction
- Dynamic win rate calculation based on YOUR chart's historical performance
- Comparison to Bulkowski's book statistics
- Label colors update based on outcome:
🟡 Yellow = Pending (awaiting breakout)
🟢 Green = WIN (correct breakout direction)
🔴 Red = LOSS (wrong breakout direction)
⚪ Gray = Timeout (excluded from statistics)
- Separated LONG vs SHORT performance dashboard
- Adjustable breakout timeout window
█ HOW TO USE
1. When a pattern appears, the label shows direction (LONG/SHORT) and historical win rate
2. Wait for bar close confirmation (✓ CONFIRMED status)
3. Monitor subsequent bars for breakout above pattern high (bullish) or below pattern low (bearish)
4. Use the dashboard to identify which patterns perform best on your specific instrument
█ IMPORTANT DISCLAIMER
- Past performance does not guarantee future results
- The "Book WR" values are from Bulkowski's historical research on US equities and may differ across instruments, timeframes, and market conditions
- This indicator is for educational and analytical purposes only
- Always use proper risk management and do your own analysis before trading
- The win rates displayed are based on the breakout methodology, not actual trade profitability
█ SETTINGS
- Max Bars to Breakout: How long to wait for pattern confirmation (default: 10)
- Pattern Toggles: Enable/disable individual patterns
- Bulkowski Parameters: Adjust trend EMA, height threshold, and doji tolerance
█ ACCESS
This is an invite-only script. For access, please send a direct message.
Options Visualizer: Smart Money Barriers [V6]Options Visualizer: Institutional Barriers & Expected Move
The Options Visualizer is analysis tool designed for traders who want to gain an edge by monitoring the "Smart Money" (options market makers and institutional hedgers). This script helps you visualize key option market dynamics directly on your chart, allowing you to see statistical support/resistance levels and massive "walls" of liquidity.
Key Features
1. Institutional Walls (Manual Mode)
Input high Open Interest (OI) data from exchanges like Deribit or Coinglass.
Call Wall (Resistance): The strike price with the highest concentration of Call options. Market makers often defend these levels to prevent paying out buyers.
Put Wall (Support): The strike price with the highest concentration of Put options, acting as a "floor" for price action.
2. Auto-Probability Mode (Statistical Barriers)
Enable Auto Mode to calculate theoretical barriers based on a 2-Standard Deviation (95% Probability) model.
This visualizes the "extreme" ends of market expectations, where a reversal or significant resistance is mathematically likely.
3. Expected Move (68% Range Box)
The blue dotted box represents the 1-Standard Deviation (68% probability) move.
Historically, 68% of the time, the price at expiration will settle within this range. Staying outside this box signals an "over-extended" market.
The Math Behind the Magic
The script utilizes the standard Expected Move formula used by professional floor traders:
Expected Move = Current Price * (IV / 100) * SquareRoot(Days To Expiry / 365)
68% Probability (The Blue Box): Derived from 1-Standard Deviation (1-Sigma). It assumes a normal distribution of price returns.
95% Probability (Auto Mode Walls): Derived from 2-Standard Deviations (2-Sigma). This covers the vast majority of expected market outcomes, making these levels powerful institutional-grade support and resistance zones.
Implied Volatility (IV): Unlike historical volatility, IV represents the market's forward-looking "fear gauge" based on option pricing.
How to Use This Tool
1. Setup:
Look up the current Implied Volatility (IV) and Max Pain/Open Interest for your asset (use Coinglass or Deribit Metrics).
2. Inputs:
Enter the Days Until Expiration (e.g., if monthly options expire this Friday, enter the remaining days).
Enter the IV % (e.g., 55 for 55%).
3. Execution:
Trend Trading: If price stays within the Blue Box, the trend is "normal."
Mean Reversion: If price hits the Call/Put Wall (Red/Green dashed lines), look for exhaustion and potential reversal signals.
Breakouts: A sustained candle close outside the 95% Auto Walls suggests a "Black Swan" event or a massive short/gamma squeeze.
Why Use This Tool?
Traditional indicators (RSI, MACD) look at the past. This tool looks at current market expectations and positioning. By seeing where the "walls" are built, you can significantly improve your risk management and trading edge.
MANUAL:
Mode 1: Manual Institutional Data (Recommended for Specific Expiries)
This mode uses real-world Open Interest (OI) data, offering the most accurate view of where large institutions are actively defending their positions.¨
🛑 How to use the Manual Mode:
1. Disable the Enable Auto Probability Mode checkbox in the indicator settings.
2. Find the Data: Navigate to specialized crypto options analytics websites:
Coinglass Options (Look for "Open Interest by Strike")
Deribit Metrics (Look for Max Pain charts)
3. Identify Key Levels & Input them into the script settings:
Manual Call Wall Strike: Find the Highest Red Bar on the OI chart. This is the strike price with the most Call options, acting as massive institutional resistance.
Manual Put Wall Strike: Find the Highest Green Bar on the OI chart. This is the strike price with the most Put options, acting as a solid price floor (support).
Manual Max Pain Level: Locate the value labeled as Max Pain on the source website. This is the price where the most options would expire worthless for buyers.
Mode 2: Auto Probability Barriers (Statistical Mode)
If you don't want to manually input data, the Auto Mode calculates theoretical barriers based purely on math and volatility, providing highly probable, yet slightly less precise, support/resistance levels.
✅ How to use the Auto Mode:
Enable the Enable Auto Probability Mode checkbox in the indicator settings.
The script will automatically set the Call/Put Walls at the 2-Standard Deviation (95% probability) range.
You still need to update the Implied Volatility (IV) % and Days Until Expiration to ensure the calculations are accurate for today's market conditions.
CrowdFlowThis CrowdFlow indicator helps frame how crowded the market is, not where it should go. This is relative comparison to the bars with respect to look back period of your choice. It show you where the real participation is, not conviction. This indicator visualizes what is normally expected at the same time of day.
High participation reflects attention and engagement, not certainty.
Low participation reflects acceptance or indifference, not weakness.
🟢 Green — Low participation
Volume is below the usual intraday expectation
Market activity is subdued
Price movement tends to be slower and more contained
Participation is selective rather than broad
⚪ Grey — Normal participation
Volume is within its typical intraday range
Market is behaving as expected
Price may continue, pause, or rotate without urgency
Participation is balanced
🔴 Red — High participation
Volume is significantly above normal for that time of day
Indicates crowd involvement and urgency
Market is being actively pushed or contested
Expect faster moves, extensions, or instability
Limit Zone Phenix Final# Limit Zone Phenix Final — Description for TradingView
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LIMIT ZONE PHENIX FINAL
Professional Smart Money Concepts (SMC) Support & Resistance Indicator
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📊 WHAT IS LIMIT ZONE PHENIX FINAL?
Limit Zone Phenix Final is an institutional-grade indicator designed to identify and track significant support and resistance levels using pivot point methodology combined with advanced Smart Money Concepts (SMC) principles.
The indicator automatically detects swing highs and lows, creates horizontal limit zones, and manages them intelligently through a history-based architecture that never loses data due to object limits.
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🎯 KEY FEATURES
✅ PIVOT-BASED LEVEL DETECTION
• Identifies swing highs (resistance) and swing lows (support)
• Configurable left/right bar sensitivity for precise extremum confirmation
• Eliminates noise by requiring multi-bar confirmation
✅ INFINITE HISTORY ARCHITECTURE
• Stores up to 5,000 historical levels in memory
• Never loses data when display limits are reached
• When a level is invalidated, the next live level automatically appears
• Perfect for long-term analysis and backtesting
✅ DUAL INVALIDATION MODES
• Wick Break: Level invalidated when price wick crosses the zone
• Body Break: Level invalidated when candle body closes beyond the zone
• Choose the mode that matches your trading style
✅ INDEPENDENT ZONE CONTROL
• Separate maximum display limits for resistance and support zones
• Display 1-100 zones independently for each type
• Customize colors, line width, and line style for each
✅ ANTI-REPAINT PROTECTION
• All level creation and invalidation occurs only on confirmed candles (barstate.isconfirmed)
• Zero repainting — what you see is what you get
• Reliable for strategy backtesting and live trading
✅ PROFESSIONAL STYLING
• Separate Style menu for all visual parameters
• Separate Logic menu for all trading parameters
• Solid, Dashed, or Dotted line styles
• Full color customization
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⚙️ HOW TO USE
1. ADD TO CHART
• Open any chart on TradingView
• Search for "Limit Zone Phenix Final"
• Click "Add to Chart"
2. CONFIGURE LOGIC SETTINGS
• Pivot Left Bars: Number of bars to the left for extremum confirmation (default: 5)
• Pivot Right Bars: Number of bars to the right for extremum confirmation (default: 5)
• Max Resistance Zones: Maximum resistance lines to display (default: 10)
• Max Support Zones: Maximum support lines to display (default: 10)
• Invalidation Mode: Choose "Wick" or "Body" break (default: Wick)
• History Capacity: Maximum levels stored in memory (default: 1000)
3. CUSTOMIZE STYLE
• Resistance Color: Choose your preferred color for resistance zones
• Support Color: Choose your preferred color for support zones
• Resistance Width: Line thickness (1-5 pixels)
• Support Width: Line thickness (1-5 pixels)
• Resistance Style: Solid, Dashed, or Dotted
• Support Style: Solid, Dashed, or Dotted
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💡 TRADING APPLICATIONS
🔹 SWING TRADING
• Identify key support/resistance for entry and exit points
• Set stop losses below support or above resistance
• Take profits at next resistance/support level
🔹 SCALPING
• Use smaller pivot settings (Left/Right = 2-3) for micro-levels
• Combine with lower timeframes (5m, 15m)
• Quick reversals at limit zones
🔹 POSITION TRADING
• Use larger pivot settings (Left/Right = 10-20) for macro-levels
• Identify major support/resistance on daily/weekly charts
• Long-term trend analysis
🔹 CONFLUENCE TRADING
• Combine with other indicators (moving averages, trendlines, volume)
• Look for price reactions at multiple zones simultaneously
• Higher probability setups
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🔧 TECHNICAL SPECIFICATIONS
• Language: Pine Script v6
• Compatibility: TradingView (all chart types)
• Max Objects: 500 lines (optimized pool architecture)
• History Capacity: Up to 5,000 levels
• Repaint Protection: Full (barstate.isconfirmed)
• Performance: Optimized for all timeframes
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📈 EXAMPLE SCENARIOS
SCENARIO 1: Max Zones = 1
• Display only the most recent LIVE resistance and support
• When price breaks a level → next level appears instantly
• Perfect for traders who want minimal clutter
SCENARIO 2: Max Zones = 10
• Display 10 most recent resistance and 10 most recent support
• See multiple levels at once for confluence analysis
• Ideal for swing traders
SCENARIO 3: Wick vs Body Invalidation
• Wick Mode: More sensitive, levels invalidate on wick touch
• Body Mode: More conservative, levels invalidate on close beyond
• Choose based on your risk tolerance
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⚠️ IMPORTANT NOTES
• This indicator identifies PIVOT-BASED levels, not every price extreme
• Levels require multi-bar confirmation (Left/Right bars)
• Not all price swings will create zones — only confirmed pivots
• Combine with price action analysis for best results
• Always use proper risk management and stop losses
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🏆 PHENIX STANDARD
Limit Zone Phenix Final is built to institutional standards:
✓ Smart Money Concepts (SMC) methodology
✓ Anti-repaint architecture
✓ Infinite history management
✓ Professional code quality (Pine Script v6)
✓ Optimized performance
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📞 SUPPORT & FEEDBACK
If you have questions, suggestions, or encounter issues:
• Leave a comment below
• Check the chart examples
• Test on different timeframes and assets
Happy Trading! 🚀
US Stock Market Performance by Sector[Dots3Red]This indicator displays the annual performance of the U.S. stock market by sector.
Selected major sectors
IND – Industrials
TECH – Technology
HTH – Healthcare
FIN – Financials
COMM – Communication Services
CONSCYC – Consumer Cyclical
CONSSTAP – Consumer Staples
ENERGY – Energy
REAL ESTATE – Real Estate
BASMAT – Basic Materials
The data is presented in a table below the main chart.
Green cell — the sector was bullish during that year
Red cell — the sector was bearish during that year
The table automatically sorts sectors by performance, placing the best-performing sector at the top for each year.
NOTE:
Annual performance is calculated starting from 2020 by default (arbitrarily chosen) and can be adjusted by the user.
Sharpe Ratio [Alpha Extract]A sophisticated risk-adjusted return measurement system that calculates annualized Sharpe Ratio with dynamic color-coded visualization distinguishing return quality across positive and negative performance regimes. Utilizing rolling period calculations with smoothed moving average comparison, this indicator delivers institutional-grade performance assessment with overbought/oversold threshold detection for extreme risk-adjusted return conditions. The system's four-tier color classification combined with histogram fills and background highlighting provides comprehensive visual feedback on whether current returns justify their volatility risk across varying market cycles.
🔶 Advanced Sharpe Ratio Calculation Engine
Implements classic Sharpe Ratio methodology measuring mean daily return divided by return standard deviation with annualization factor for consistent interpretation. The system calculates daily percentage returns, computes rolling mean and standard deviation over configurable periods, applies square root of 365 scaling for annualized comparison, and generates unbounded ratio values where higher positive readings indicate superior risk-adjusted performance.
// Core Sharpe Ratio Framework
Daily_Return = close / close - 1
Mean_Return = ta.sma(Daily_Return, Period)
StdDev_Return = ta.stdev(Daily_Return, Period)
Sharpe_Ratio = (Mean_Return / StdDev_Return) * sqrt(365)
🔶 Dynamic Four-Tier Color Classification
Features sophisticated color logic distinguishing between strong positive returns (green), weakening positive returns (yellow), weakening negative returns (orange), and strong negative returns (red) based on relationship to smoothed average. The system compares current Sharpe against SMA-smoothed baseline, applying green when positive and accelerating, yellow when positive but decelerating, orange when negative but improving, and red when negative and deteriorating for nuanced regime assessment.
🔶 Smoothed Baseline Comparison Framework
Implements SMA smoothing of Sharpe Ratio with configurable period to establish momentum reference line for trend determination within risk-adjusted returns. The system calculates simple moving average of raw Sharpe values, uses this smoothed line as directional benchmark, and determines whether current risk-adjusted performance is strengthening or weakening relative to recent average for color classification logic.
🔶 Extreme Threshold Detection System
Provides overbought and oversold level identification with configurable upper and lower bounds marking exceptional risk-adjusted return extremes. The system defaults to +4.3 for overbought threshold (extremely favorable risk-return profile) and -2.3 for oversold threshold (severely unfavorable risk-return profile), applying dashed horizontal reference lines and background highlighting when Sharpe breaches these statistical extremes requiring attention.
🔶 Histogram Fill Visualization Architecture
Creates gradient-filled histogram between Sharpe Ratio line and zero baseline using dynamic color matching with 30% transparency for intuitive positive/negative return distinction. The system fills area above zero with bullish colors (green/yellow) and below zero with bearish colors (orange/red), providing immediate visual confirmation of whether returns are compensating for volatility risk or destroying risk-adjusted value.
🔶 Background Zone Highlighting Framework
Implements subtle background coloring when Sharpe enters extreme overbought or oversold zones, alerting traders to statistically significant risk-adjusted return conditions. The system applies semi-transparent red background when ratio exceeds +4.3 (exceptionally strong risk-adjusted returns potentially unsustainable) and green background when below -2.3 (severely poor risk-adjusted returns potentially reversionary), creating visual alerts without obscuring price action.
🔶 Annualization Methodology Integration
Utilizes standard square root of time scaling (sqrt(365)) to convert rolling period Sharpe calculations into annualized format for cross-temporal comparison. The system applies this mathematical transformation ensuring Sharpe values represent expected annual risk-adjusted returns regardless of calculation period length, enabling consistent interpretation whether using 100-day or 200-day rolling windows.
🔶 Zero-Line Reference System
Provides critical zero-line plot serving as boundary between positive risk-adjusted returns (capital allocation justified by return/risk profile) and negative risk-adjusted returns (strategy destroying value on risk-adjusted basis). The system emphasizes this threshold as decision point where values above zero suggest continuation while values below zero indicate reconsideration of exposure.
🔶 Momentum-Based Color
Transitions Implements intelligent color switching logic that considers both absolute Sharpe value and its momentum relative to smoothed average, creating four distinct regimes for granular performance assessment. The system enables identification of bullish acceleration (green), bullish deceleration (yellow), bearish improvement (orange), and bearish acceleration (red) for nuanced position management beyond simple positive/negative classification.
🔶 Configurable Period Optimization
Features adjustable calculation period and smoothing length enabling optimization across different trading timeframes and volatility regimes. The system defaults to 150-period calculation (approximately 6-7 months of daily data) with 30-period smoothing, but allows customization from short-term tactical assessment to long-term strategic evaluation based on investment horizon and strategy requirements.
🔶 Performance Optimization Framework
Employs efficient rolling calculations with streamlined daily return processing and optimized standard deviation computation for smooth real-time updates. The system includes minimal computational overhead through single-pass mean and variance calculations, enabling consistent performance across extended historical periods while maintaining accuracy of risk-adjusted return measurements.
This indicator delivers sophisticated risk-adjusted return analysis through classic Sharpe Ratio methodology with enhanced visual classification distinguishing return quality and momentum. Unlike simple return-focused indicators, Sharpe Ratio penalizes volatility ensuring traders evaluate whether returns justify the risk undertaken. The system's four-tier color coding, smoothed baseline comparison, and extreme threshold detection make it essential for portfolio managers and systematic traders seeking objective performance assessment beyond raw price gains. High positive Sharpe values indicate efficient return generation relative to volatility risk, while negative values signal value destruction on risk-adjusted basis requiring strategy reassessment. The indicator excels at identifying periods when risk-taking is rewarded (green zones) versus periods when volatility exceeds returns (red zones) across cryptocurrency, forex, and equity markets for optimal capital allocation decisions.
Weekend % Gap in Price by eccuity.comThis indicator displays the percentage gap between each week's closing price and the following week's opening price on weekly charts.
How it works:
Calculates the gap as: (Week Open - Previous Week Close) / Previous Week Close × 100
Displays a label above each weekly candle showing the gap percentage
Green labels indicate a gap up (market opened higher than prior close)
Red labels indicate a gap down (market opened lower than prior close)
Features:
Only displays on weekly timeframes
Shows a summary table with the last 8 weeks of data including dates, prices, and gap percentages
Calculates a running average of all weekend gaps
Configurable label size (tiny, small, normal)
Alert condition for gaps exceeding a customizable threshold
Use cases:
Identify weekend sentiment shifts and overnight risk
Analyze historical gap patterns for a specific instrument
Track how news and events over weekends impact opening prices
Copy gap data from the table for further analysis
Note: The indicator uses the weekly bar's open and previous bar's close, which automatically accounts for market holidays (e.g., if the market closes Thursday or opens Tuesday).
Smart Auto-Step Openndicator Name: 15m Reversal Strategy (Polymarket)
Short Description: A mean-reversion strategy designed for the 15-minute timeframe. It identifies overextended short-term trends and signals entries on the probability of a reversal candle.
Top 40 Best Performing Nasdaq Stocks with Advanced Stats ScreenWelcome to the CustomQuantLabs Advanced Stats Screener. This dashboard is designed for traders who need more than just price action—it provides a comprehensive, institutional-grade view of the "Top 40" performing assets in the Nasdaq (or any watchlist of your choice) at a single glance.
Instead of flipping through 40 different charts, this screener aggregates Performance Metrics and Advanced Statistical Risk Models into one clean, heatmap-style dashboard. It helps you instantly identify outliers, trend leaders, and potential mean-reversion setups.
Key Features
1. Multi-Timeframe Performance Heatmap Instantly spot momentum. The dashboard tracks returns across 5 key timeframes, color-coded with a dynamic heatmap (Bright Green for leaders, Bright Red for laggards):
Week% (Short-term momentum)
Month% & Quarter% (Medium-term trend)
6M% & 12M% (Long-term secular trend)
2. Institutional Risk Metrics (Advanced Stats) We go beyond simple percentage changes. This screener calculates complex statistical formulas for every single ticker in real-time:
Kelly Criterion (%): A money management formula used to determine optimal position size based on win probability and return ratio. A higher Kelly % suggests a statistically stronger "edge" based on recent history.
Sharpe Ratio: Measures risk-adjusted return. How much return are you getting for every unit of risk? (Values > 1.0 are generally considered good).
Sortino Ratio: Similar to Sharpe, but only penalizes downside volatility. This is crucial for distinguishing between "good volatility" (upside pumps) and "bad volatility" (crashes).
Z-Score: A mean-reversion metric. It measures how many standard deviations the current price is from its 20-day mean.
High Positive Z-Score (>2): Price may be overextended to the upside.
Low Negative Z-Score (<-2): Price may be oversold.
Volatility (%): A dynamic measure of the asset's daily range, helping you gauge the "personality" of the stock before entering.
Customization & Settings
Fully Customizable Watchlist: While pre-loaded with top Nasdaq performers (like NVDA, AMD, PLTR, MU), you can easily edit the "Symbols" input in the settings to track Crypto, Forex, or your own custom stock portfolio.
Smart Theme Detection: Includes a toggle for Dark Mode (ProjectSyndicate style) and Light Mode (Clean white style).
Compact Mode: You can toggle specific columns on or off to fit the table on smaller screens.
How to Use
Add the script to your chart.
Open Settings (Gear Icon).
Paste your list of 40 tickers into the "Ticker List" text area (separated by commas).
Use the Z-Score to find overbought/oversold setups and the Relative Strength (Week/Month) to find breakout candidates.
Disclaimer: This tool is for informational purposes only. The "Top 40" list requires manual updating if the market leaders change. All statistical metrics (Kelly, Sharpe, etc.) are based on historical data and do not guarantee future performance.
Built by CustomQuantLabs.
Volume + ATR Robust Z-Score Suite (MAD)Measure relevant volumes together with high-volatility candles, providing initiative signals based on volume. Mark the relevant candle and use it as support or resistance.
