PnL Candles/Line & Stats (Long & Short)I was enthusiastic to see how a PnL (Profit & Loss) candle looks, so I created this indicator to analyze trade performance for any other indicator. It visualizes PnL using candles and lines, making it easy to track individual trades and understand their outcomes.
How to Use:
In the indicator you want to analyze, define your entry and exit conditions as numeric series (1 or 0):
Longcondition = ? 1 : 0
LongExitcondition = ? 1 : 0
plot(Longcondition, title="Long Condition")
plot(LongExitcondition, title="Long Exit Condition")
Shortcondition = ? 1 : 0
ShortExitcondition = ? 1 : 0
plot(Shortcondition, title="Short Condition")
plot(ShortExitcondition, title="Short Exit Condition")
Provide these series as inputs in the PnL indicator:
Longcondition → Long trade entry trigger
LongExitcondition → Long trade exit trigger
Shortcondition → Short trade entry trigger
ShortExitcondition → Short trade exit trigger
Use the date/time filter to focus on specific periods.
Toggle Show Long Trades and/or Show Short Trades to display only the trades you want to analyze.
Features:
Visualizes PnL for each trade via candles and hidden lines.
Tracks key statistics: total trades, win rate, MAE (Maximum Adverse Excursion), MFE (Maximum Favorable Excursion), cumulative PnL.
Calculates historically suggested stop-loss levels (educational purposes only).
Summarizes metrics in a table with separate sections for Long and Short trades.
Note:
This tool is for educational purposes only. Stop-loss levels and trade statistics are illustrative, not trading recommendations. Users must perform their own analysis and risk management. The developer is not responsible for any gains or losses from using this indicator.
Statistics
[X342] Liquidity Hunter Liquidity Hunter — Sweep Detection
OVERVIEW
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Liquidity Hunter identifies and tracks areas where stop-loss orders are likely clustered (liquidity pools) based on pivot points and notional value calculations.
METHODOLOGY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
The indicator uses a sophisticated approach to identify liquidity:
1. Pivot Point Detection
- Uses configurable left/right bar lookback
- Identifies swing highs (upside liquidity targets)
- Identifies swing lows (downside liquidity targets)
2. Notional Value Calculation
- Formula: Price × Volume at pivot bar
- Represents the "dollar value" of orders at each level
- More accurate than simple volume or price levels alone
3. Dynamic Level Management
- Tracks up to configurable max levels per side
- Automatically removes MITIGATED levels (when price sweeps through)
- Oldest levels are removed when max is exceeded
WHY NOTIONAL VALUE?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Traditional support/resistance uses price alone. Notional value (Price × Volume) provides a more realistic view of where significant orders are clustered. A high volume bar at a pivot is more significant than a low volume bar.
FEATURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ Dual language support (English / Türkçe)
✓ Automatic level cleanup on mitigation
✓ Notional value labels on each level
✓ Distance percentage to nearest levels
✓ Total liquidity summary panel
✓ Sweep detection alerts
VISUAL ELEMENTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Red Lines: Upside liquidity (buy stops above)
• Blue Lines: Downside liquidity (sell stops below)
• Labels: Show notional value at each level
INFO PANEL
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Displays 4-column layout:
- Total upside liquidity (sum of all notional values)
- Distance to nearest upside level (%)
- Total downside liquidity
- Distance to nearest downside level (%)
SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Detection:
- Left Bars: Bars to left for pivot detection (default: 15)
- Right Bars: Bars to right for pivot confirmation (default: 5)
Display:
- Max Levels Each: Maximum levels per side (default: 8)
- Show Liquidity Amount: Toggle notional value labels
Colors:
- Upside Liq Color: Color for resistance/upside levels
- Downside Liq Color: Color for support/downside levels
ALERTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• New Upside Liq: New upside level formed
• New Downside Liq: New downside level formed
• Upside Sweep: Price swept through upside liquidity
• Downside Sweep: Price swept through downside liquidity
TRADING APPLICATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Use sweeps as potential reversal signals
- Larger notional values indicate stronger levels
- Distance % helps with risk/reward calculations
- Combine with trend indicators for confirmation
Contango/Backwardation Futures Box Desk - TT ToolsContango/Backwardation Futures Box
- stato della curva (Contango / Backwardation)
- spread % Mid vs Near (2/1)
- prezzi di Near / Mid / Far con frecce (sopra/sotto)
- struttura CONFIRMED / NOT CONFIRMED
- countdown alla scadenza + alert visivo “Rollover Soon”
Contango/Backwardation Futures Box
- curve status (Contango/Backwardation)
- Mid vs Near spread % (2/1)
- Near/Mid/Far prices with arrows (above/below)
- CONFIRMED/NOT CONFIRMED structure
- countdown to expiration + visual alert “Rollover Soon”
3Y Rolling Correlation vs SPY (Daily)Correlation vs SPY as measured by daily returns over the Trailing Three Years
3 RULESCreated 3 Unique Inputs: Instead of just one custom_txt variable, I created custom_txt1, custom_txt2, and custom_txt3.
Organized Settings: I grouped the settings in the menu (Position, Line 1, Line 2, Line 3) so it's easier to find the box you want to type in.
Updated Logic:
If you select "Custom Text" for Line 1, it reads the "Line 1 Custom Text" box.
If you select "Custom Text" for Line 2, it reads the "Line 2 Custom Text" box, etc.
How to use it:
Paste the code into the Pine Editor at the bottom of TradingView.
Click Add to Chart.
Open the Settings (Gear Icon) of the indicator.
Set Line 1, Line 2, and Line 3 all to "Custom Text".
Type whatever you want in the 3 separate text boxes.
Trend vs BalanceThis indicator is built to answer one key question before you trade:
Is the market trending or balancing (ranging)?
And it doesn’t just label it — it also gives you a confidence score (0–100%).
It works with two timeframes:
Daily (D): the “base” timeframe — it drives the decision.
H4 (240): the “adjustment” timeframe — it reinforces or weakens what Daily says.
That’s why the final output is COMBO:
COMBO always follows the Daily regime (Bull Trend, Bear Trend, or Balance).
H4 does NOT change the regime, it only adjusts the confidence % depending on whether it agrees or conflicts.
The % is calculated using a checklist-style scoring system (5 points per regime).
Each regime has 5 measurable conditions, each worth 20 points:
3 out of 5 → 60%
5 out of 5 → 100%
What does the checklist measure (pure candle behavior):
Structure: whether price forms a clear staircase (HH/HL for bull trend or LL/LH for bear trend).
Closes: whether candles close near the extremes (trend) or near the middle (balance).
Overlap: whether price is “choppy” with lots of overlap (balance) or cleanly displaced (trend).
Impulse vs pullback: whether one side clearly dominates (trend) or moves are more symmetric (balance).
Breaks: whether price breaks and stays outside (acceptance = trend) or breaks and quickly re-enters (balance).
How to read it quickly:
COMBO = your main playbook (trend strategy or range strategy).
COMBO % = your confidence level (how clear the context is).
If you see a ⚠️, it means strong conflict between Daily and H4 — a “be careful” day.
In short: Daily tells you the market “weather”, and H4 tells you whether today the wind is helping or fighting you.
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
═══════════════════════════════════════
🎯 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
═══════════════════════════════════════
📊 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.
═══════════════════════════════════════
📈 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
═══════════════════════════════════════
⚙️ 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
═══════════════════════════════════════
🔒 ACCESS
⚠️ LIMITED TO 200 LICENSES
Premium invite-only indicator
▶️ Contact: rei@reiconcept.fr
🌐 Website: reiconcept.fr
═══════════════════════════════════════
© 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
…
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).
...
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.
…
∞
Straddle Premium TrackerStraddle Premium Trackefr is used to combine CALL and PUT of premiums of same strike price
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
