SMC Liquidity EngineSMC Liquidity Engine MTF is a multi-timeframe market structure and liquidity-based trading system designed to track institutional order flow. It identifies swing highs and lows to map market structure, detects breaks of structure and changes of character, and filters entries using higher-timeframe bias. By combining liquidity sweeps with structure shifts, the system highlights high-probability reversal and continuation zones where smart money is most likely active.
In normal human language, it waits for price to hunt stops, confirms the trend on a higher timeframe, then marks where professionals would step in. That is how you avoid getting farmed by noise and actually trade with intent.
Индикаторы и стратегии
BOS Pullback + CVD Clustering - Prop Firm EditionBOS Pullback + CVD Clustering
Overview
The BOS Pullback + CVD Clustering system is a professional-grade toolkit designed for high-precision intraday trading. It is specifically built for traders aiming to pass or manage Prop Firm accounts, where risk management and trend alignment are non-negotiable.
This script moves beyond basic price action by integrating Order Flow (CVD Z-Score Clustering), Market Structure (BOS), and Multi-Timeframe Momentum (SMI) into a single, cohesive execution engine.
Core Pillars of the Strategy
1. Market Structure & BOS Logic
The script automatically tracks Market Structure using dynamic pivots.
BOS Detection: When price closes above a recent high (Bullish) or below a recent low (Bearish), it identifies a Break of Structure (BOS).
The Pullback Zone: Signals do not fire on the breakout (chasing). Instead, the script waits for a pullback to the silver BOS Level within an ATR-optimized buffer.
2. CVD Z-Score Clustering (Order Flow)
This is the heart of the engine. It categorizes every bar into one of 9 clusters by comparing Volume and Cumulative Volume Delta (CVD) against their statistical Z-Scores.
Institutional Conviction: Signals are filtered to only allow entries during high-conviction clusters (High/Avg Volume + High Delta).
Absorption Filter: It prevents you from buying a pullback if the CVD shows aggressive selling, even if the price is at a support level.
3. Multi-Timeframe (HTF) SMI Filter & Squeeze Detection
To protect you from "choppy" environments, the script monitors a Higher Timeframe (HTF) Stochastic Momentum Index.
Trend Filter: Longs only fire if the HTF SMI is trending above its signal line.
The Squeeze (Gray Background): When the HTF SMI and its signal line converge (within 5 points), the background turns gray. This indicates a low-volatility "Squeeze" or trend exhaustion—a high-risk environment for breakouts where Prop Firm traders should stay sidelined.
Dual-Layer Momentum HUD
The script features two distinct momentum measurements to ensure both the "Trend" and the "Execution Bar" are powerful.
Internal Acceptance Score (UI Table): Ranging from -4 to +4, this measures Trend Quality (consecutive candle colors and volatility expansion). You can set the threshold (1-4) in the inputs to filter for only the most aggressive trend moves.
Micro-Momentum Gauge (Bottom Left): Ranging from -10 to +10, this tracks Immediate Velocity. It analyzes closing strength and range expansion of the last two candles. A score of ±6 or higher confirms a high-velocity execution bar.
Built-in Prop Firm Risk Management
Supply & Demand Zones: Automatically plots institutional "Premium" (Red) and "Discount" (Green) zones based on the current swing range.
ATR Trailing Stop: A dynamic orange line that follows price to protect capital.
Automated Break-Even: Once price hits a user-defined ATR target, the active stop is moved to the entry price.
Prior Day Levels: Automatic plotting of PDH and PDL for critical daily bias context.
How to Trade with this System
Bias: Check the Trend Dir in the internal table and ensure the background is not gray.
Setup: Wait for price to return to the silver BOS Level.
Trigger: A signal (Triangle) appears when HTF Trend, CVD Order Flow, and Momentum (Acceptance Score) align.
Execution: Confirm the Micro-Momentum Gauge shows high velocity (±6 or more) for the highest probability entries.
Manage: Target the Lime Green TP line while the Orange Trailing Stop protects your drawdown.
Disclaimer
This indicator is a tool to assist in market entry analysis and does not guarantee profits. Always use proper risk management, especially when trading with Prop Firm capital.
Aether | SkyWalker Cloud Algo☁️ Aether | SkyWalker Cloud Algo
The SkyWalker Cloud Algo is a high-confluence trend-following system designed to filter out market noise and capture significant volatility expansions. By combining a sensitive trailing stop engine (UT Bot) with a "Tri-Factor" of momentum, volume, and trend filters, this script visualizes the market as a navigational flight path—keeping you in the clear "Blue Sky" during uptrends and alerting you to "Storms" during downtrends.
🧠 The Logic Behind the Cloud
This script is not just a buy/sell signal generator; it is a Confluence Engine. A signal is only generated when the core cloud logic aligns with specific atmospheric conditions (Filters).
1. The Core Engine: Variable Sensitivity Cloud (UT Bot)
At its heart, the script uses a modified ATR Trailing Stop (often known as the UT Bot).
Ascend (Bullish): When price breaks above the trailing "Updraft" line.
Descend (Bearish): When price breaks below the trailing "Downdraft" line.
Customization: You can tweak the Sensitivity (ATR Period) and Smoothness (Key Value) to fit any timeframe, from scalping (1m) to swing trading (4H+).
2. The Confluence Filters (The Weather System)
To prevent false signals in choppy markets, the "SkyWalker" logic checks three distinct market forces before confirming a trade:
🌬️ Prevailing Wind (Supertrend): Ensures you are trading in the direction of the macro trend. If the wind is against you, the signal is grounded.
🌡️ Atmospheric Pressure (QQE Mod): Uses a smoothed RSI with volatility bands to detect genuine momentum shifts. It ensures there is enough "pressure" to sustain the move.
💧 Vapor Flow (Chaikin Money Flow): Analyzes volume flow. A Buy signal requires positive money flow (Inflow), and a Sell requires negative money flow (Outflow).
3. Market Structure (SMC)
Optional Filter: You can enable the SMC Structure Alignment in the settings. This forces the algorithm to only take Longs when the market is making Higher Highs and Shorts when making Lower Lows, adding an extra layer of safety.
🌤️ Visuals & The "Flight Deck"
The script completely overhauls the standard chart visual to keep your focus on price action and targets.
Aether Mist: The space between the price and the trailing stop is filled with a dynamic cloud, providing an instant visual read on trend strength.
Dynamic Targets (TP/SL): When a signal fires, the script automatically projects Take Profit and Stop Loss lines on your chart based on volatility (ATR). These lines update in real-time.
The Flight Deck (Dashboard): Located in the corner of your chart, this panel provides a real-time status report of your filters (Wind, Barometer, Flow) and tracks the "Flight Accuracy" (Win Rate) of the signals on the current chart history.
🛠️ How to Use
Entry: Wait for a "🌤️ ASCEND" (Long) or "⛈️ DESCEND" (Short) label. This confirms that price has broken the cloud and all enabled filters (Supertrend, QQE, CMF) are in agreement.
Stop Loss: Place your initial stop at the dotted white line provided by the signal.
Take Profit: Aim for the dashed colored line (Dynamic TP). Alternatively, you can ride the trend until the Cloud changes color.
Trailing: If the "Show Trailing Cloud" option is on, the SL line will move with the price, locking in profits as the trend continues.
⚙️ Settings Overview
Updraft/Downdraft Sensitivity: Lower numbers = faster signals (scalping); Higher numbers = fewer signals (swinging).
Confluence Group: Toggle the Supertrend, QQE, or CMF filters on/off individually to loosen or tighten the strategy.
Visuals: Toggle the Dashboard, TP/SL lines, or the background cloud fill.
Multi-Timeframe RSI (Daily + Weekly)View the Daily and Weekly RSI together so you see how the oscillate on any timeframe
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use)
Overview
This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars.
The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve.
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Why use logarithms?
Price action is typically more meaningful in **percentage moves** than in absolute dollar moves.
* A move from $100 → $200 is +100%
* A move from $2000 → $2100 is only +5%
By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes.
So instead of modelling (P), the indicator models:
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The growth model: Power-law curve
The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time:
where (t) is the number of days (or bars) since the first data point.
It then fits a straight-line model in log-log space:
Substituting back in:
Exponentiating both sides gives the curve in normal price units:
This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports.
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What “expanding regression” means
The model uses all data available from the beginning of the chart up to the current bar. That means:
* Early in the asset’s history the curve can change more because there are fewer points.
* Over time the curve becomes more stable as more history is included.
Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in.
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Measuring “typical deviation” from the curve (residual volatility)
Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it.
At any time point:
* Actual log price is (y = \ln(P))
* Predicted log price from the curve is (\hat{y} = a + b\ln(t))
The **residual** is:
The indicator computes the standard deviation of these residuals:
This (\sigma) is a measure of typical “distance from trend” in log terms.
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Building the bands (the key idea)
The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down:
Upper band (k):
Lower band (k):
Where:
* (k) is the band number (1, 2, 3, …)
* (s) is a user-chosen spacing factor (band spacing)
* (\sigma) is the residual standard deviation
Converting back to normal price:
Upper band (k):
Lower band (k):
Why bands look like “translated copies”
Because shifting by a constant in log space equals multiplying by a constant in price space:
So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts.
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Optional curve shift (manual adjustment)
A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower.
Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor:
* Positive shift → multiplies all bands upward
* Negative shift → multiplies all bands downward
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How to interpret the zones
The base curve represents a long-term “trend center” in log-growth terms.
* Price near the base curve → near long-term trend
* Price in upper bands → expensive relative to long-term trend
* Price in lower bands → cheap relative to long-term trend
Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels.
---
Long-term buy zones (Lower 1 and Lower 2)
**Lower 1** and **Lower 2** are intended as **long-term accumulation zones**.
When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to:
* deep bear markets,
* high fear / capitulation phases,
* long accumulation periods.
A simple long-term framework many users apply:
* **Accumulate gradually when price enters Lower 1**
* **Accumulate more aggressively when price enters Lower 2**
* Reduce risk / take profits progressively in higher upper bands
These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions.
---
## Notes / limitations
* This indicator is a **macro trend tool**, not an intraday trading system.
* The curve is derived from historical behavior; it can shift slowly as new data arrives.
* Extremely new market regimes or structural changes can reduce reliability.
* Use alongside risk management and additional confirmation if trading.
---
Caja TavoStrategy based on "The Box" by Z and Scott
This strategy is based on measuring price volatility one hour before the market opens and half an hour after.
The trade is made in the direction that breaks the upper or lower limits.rior o inferior.
Candle Countdown TimerCandle Countdown Timer - Real-Time Bar Close Indicator
Stay ahead of the market with this elegant countdown timer that shows exactly how much time remains until the current candle closes. Perfect for scalpers, day traders, and anyone who needs precise timing for their trading decisions.
✨ Key Features:
Universal Timeframe Support - Automatically adapts to any chart timeframe (1m, 5m, 15m, 1h, 4h, 1D, etc.)
Smart Positioning - Choose between two display modes:
Candle High/Low: Displays above bullish candles, below bearish candles
Current Price: Shows at the closing price level for easy reference
Color-Coded Display - Timer automatically matches your chart's candle colors (green for bullish, red for bearish) for instant visual clarity
Fully Customizable - Adjust font size (8-50), opacity (0-100), and placement to match your trading style and chart setup
Clean, Non-Intrusive Design - Minimal interface that provides critical information without cluttering your chart
📊 Perfect For :
Timing precise entries and exits
Scalping strategies requiring exact candle close timing
Multi-timeframe analysis
Managing time-sensitive trade setups
Avoiding last-second candle close surprises
🎯 How to Use :
Simply add the indicator to your chart and customize the settings to your preference. The countdown automatically updates in real-time, showing hours, minutes, and seconds remaining until the current bar closes.
⚙️ Settings:
Font Size: Numeric input (8-50) for precise size control
Text Opacity: Control visibility from 0 (solid) to 100 (invisible)
Placement: Choose "Candle High/Low" or "Current Price" positioning
💡 Pro Tip:
Use the "Current Price" placement mode when trading on multiple timeframes to keep the countdown at a consistent price level, making it easier to track across different chart configurations.
Post-Exercise Option ValueThis indicator visualizes the post-exercise value of stock options for a single underlying symbol.
It calculates what an options position would be worth after exercising , based on the difference between price and strike, and displays how that value changes over time using close, high, and low prices.
What it shows
Value at Close – post-exercise value using the candle’s closing price
Value at High – post-exercise value using the candle’s high
Value at Low – post-exercise value using the candle’s low
Shaded regions highlight the intrabar range between close↔high and low↔close
Values are floored at $0 when price is below the strike
Calculation logic
The indicator uses the following formula:
Post-exercise value = max((Price − Strike) × Units × Multiplier, 0)
This reflects the net value of shares received if options were exercised at the strike and valued at the current market price.
Inputs
Strike price (exercise price)
Number of units (shares or share-equivalent units)
Multiplier (e.g., 100 for standard US equity option contracts)
Custom value target for alerts
Alerts
Optional alerts are available for:
Price crossing above or below the strike
Post-exercise value crossing above (or below) a user-defined dollar target
Alerts are evaluated on bar close and can be enabled individually via TradingView’s alert dialog.
Notes
Designed for tracking a single ticker
Does not model time value, volatility, or option premiums
Intended for visualization and monitoring purposes only
This tool is useful for understanding how the value of an exercised options position evolves relative to price movement.
Stop lossHi all!
This simple indicator will alert you when a price limit is reached (stop loss). I've created this indicator out of 2 reasons:
1. My broker only lets me to set a stop loss limit until a certain time. The time is a couple of months forward in time, but with a Tradingview plan that lets you set open-ended alerts this can alert you later than that.
2. I would like a stop loss on closing price only. This will not get you stopped out by a wick, but needing a 'close' price to be equal or below (for long trades) or equal or above (for short trades).
So this indicator will alert you when your stop to is hit and exit with a 'runtime.error' on the tick after the alert. It won't give you any good looking visuals, just a red line of your chosen stop loss price. Set it in the settings or click '...'->'Reset points...' and drag the line to your desired limit price. Also choose if your trade direction is long or short and if the bar that enters below/above your stop loss needs to be closed.
Note that there's a limitation depending on your style of trading (short term or long term) and if your Tradingview subscription provides live data or not. Also this will only alert you, not buy (for short trades) or sell (for long trades) your contracts when the stop loss is hit.
Best of trading luck!
Custom Price Offsets v6.1Use the indicator to mark pullbacks and targets on your chart based off custom levels. Click to set the initial point on your chart. Can change your offsets in the settings menu. must delete and readd indicator to change set point.
eBacktesting: MultieBacktesting: Multi is an all-in-one chart toolkit built for structured day-trading study: multi-timeframe levels, “clean” movement zones, session context, bias, candle normalization, gaps, and a powerful alert system — all from one indicator.
What it can show on your chart
1) Multi-timeframe Support/Resistance (S/R) markup
- Detects and plots S/R levels from up to 8 configurable timeframes (mix HTF + LTF).
- Optional labeling styles: Simple, Type (S/R), or Directional.
- Optional price labels next to levels.
- Levels cleanup (decongestion): hides clustered levels to keep the chart readable
- Grouping: can group timeframes that share the same level into a single line.
- Level invalidation: levels can disappear after X passthroughs (with a “getting weaker” dashed style when close to invalidation).
2) Psychological levels (round numbers)
- Automatically draws round-number lines at a practical interval (with optional manual interval control).
- Has smart defaults for common markets (e.g., indices, BTC, metals).
3) Levels heatmap
- Shows level density as shaded “pressure areas”: areas where an agglomeration of S/R levels are present
- Can be simple or persisted (so you can study where price repeatedly reacts)
4) Repeated levels highlight
- Highlights “same area again” levels using a tolerance setting.
- Can require same direction (support with support / resistance with resistance) or allow any direction.
5) LTAs (Low Traffic Areas)
- Marks “air pockets” between levels where price can travel fast.
- Can be built from:
- S/R spacing (between detected levels), or
- Candle sequences (clean directional runs).
- Optional filters:
- By how “untouched” the boundary levels are (passthrough filter)
- By number of candles
- By size (points)
6) Clean zones (candle-based)
- Detects strong same-direction runs and boxes them as “clean zones” for study and backtesting practice.
7) Session Bias
- Computes a bias score from selected timeframes and shows it as a %.
- Can be weighted, inverted weight, or not weighted across timeframes (e.g. HTF candles having more weight towards bias calculation).
- Optional color coded “bias candles” overlay + option to dim weak candles so the signal is clearer.
- Alert when bias flips bullish/bearish/neutral.
8) Candles tools
- Smooth candles: removes candle gaps by drawing candles with open = previous close (useful for price action analysis).
- Ghost current candle: de-emphasizes the still-forming candle until it’s near completion (useful for not going in FOMO).
- Highlight no-wick candles: helps spot strong displacement / clean opens/closes.
- Snap candles: rounds candles to a chosen interval (ATR % or fixed), for cleaner structure reading.
- Optional candle stats: ATR & Average candle size
- Candle score: rates the last candle’s strength (body/wicks/size + context), useful for quick quality checks.
- Gaps: highlights unfilled gaps and optionally removes them once filled.
9) Sessions
- Up to 4 customizable sessions, each with its own color and optional background highlight.
- Option to hide candles outside session hours (great for focused session study).
10) Notifications
- Before session start alerts (X minutes early).
- Before session end alerts (X minutes early).
- Closing beyond detected S/R levels
- Closing beyond custom prices: type your prices (one per line)
- Proximity allowance + “advance notice” option for getting notified 30s/1m/5m before the candle closes based on your preferences
- Timer alerts (“check chart every X minutes”) with a custom message template.
eBacktesting integration (the important part)
This indicator fully integrates with the eBacktesting extension to automatically detect “important moments” during backtesting, so it can auto-pause, tag, and allow you to practice them step-by-step.
- When bias changed
- When a candle closed beyond an automatically detected S/R level
- When a candle closed beyond your custom price
- When new LTAs & clean zones are detected or invalidated
These indicator is built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Custom Long ProjectionDo custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
Do custom Long Projection
FranPL - Psychological LevelsIt automatically draws horizontal lines fixed to the right-hand price scale at every price level ending in 00, 20, 50, and 80. These levels are commonly watched by traders as areas where price often reacts, pauses, or reverses.
The lines remain anchored to price, updating dynamically as the market moves, and stay aligned with the price scale rather than drifting with time. The indicator works across all markets and timeframes.
FranPL is fully customizable through the settings, allowing the user to adjust the line color, thickness, and length, making it easy to match personal chart preferences while keeping the chart clean and uncluttered.
Overall, FranPL provides a clear, consistent visual framework for identifying important psychological levels to support entries, exits, and risk management.
Bayesian Trend Indicator [ChartPrime]I took the Bayesian Trend indicator from ChartPrime as a basis and added alerts for convenience
Today's High Vertical LineThis is just a simple vertical line for the high of the day. I looked high and low for one of these and could not find one, so I created one.
ICT iFVG Detector + Checklist + Killzones & Pivots (Merged)ZOE IFVG + Sessions + CISD (Multi-Timeframe) is an all-in-one ICT-style toolkit designed to simplify bias, timing, and execution by combining the most important market delivery concepts into one indicator.
This script merges:
🔥 1) IFVG (Inversion Fair Value Gaps)
Automatically detects and draws Inversion Fair Value Gaps
Helps highlight high-probability reversal / continuation delivery zones
Clean visual zones for entries + mitigation-based logic
⏰ 2) ICT Sessions / Killzones & Pivots
Fully integrated from the open-source ICT Killzones & Pivots toolset:
Asia, London, NY AM, NY Lunch, NY PM Killzones
Session high/low pivot lines + optional midpoint lines
Opening price lines and timestamp markers
Optional Day/Week/Month open + previous highs/lows
Day-of-week labels + session range table
This helps you time entries based on where you are in the day, and identify session liquidity levels that price reacts to.
📌 3) CISD (Change In State of Delivery) — Multi-Timeframe
Detects CISD levels using body-based market structure logic
Marks bullish and bearish CISD levels cleanly on chart
Double BB Touch Alert캔들이 기본 볼린저밴드(20,2,종가)와 사용자밴드(4,4,시가)를 동시에 닿았을 때 알람 발생시키는 스크립트
"A script that triggers an alert when the candle simultaneously touches both the default Bollinger Bands (20, 2, close) and a custom band (4, 4, open)."
Median Anchor Oscillator [ALPHA]ALPHA – Median Anchor Oscillator
A clean, outlier-resistant z-score oscillator built around a rolling median (not mean) and Median Absolute Deviation (MAD) instead of standard deviation.
Key features:
- Green/red histogram shows deviation strength from the median anchor
- Dashed lines at ± threshold (default 2.5 – adjustable)
- Optional purple fill for extreme zones
- Auto-scales perfectly (no price squish on BTC or high-value assets)
Ideal for mean-reversion traders spotting overextension or "gravity" pullbacks.
SHORT = breaching top dashed line (red)
LONG = breaching bottom dashed line (green)
Use with a MACD or RSI for those divergence signal confirmations.
This is ALPHA – early version, still tuning.
Companion overlay suite (medians, pivot, signals, RSI overlay) coming in future, possible standalone update(s).
Feedback / suggestions very welcome!
Tags: z-score, median, oscillator, mean-reversion, BTC, crypto, deviation
