Stop Hunts [MK]Liquidity rests above/below previous highs and lows because these are the areas where traders are most likely to leave their orders/stop losses. The market can tap into this liquidity source by going beyond the previous highs and lows, this liquidity can then be used to reverse the market in the opposite direction.
As traders we may want to know if price will continue beyond previous highs and lows, or reverse the market. If price looks to be reversing after tapping into liquidity, this can be a good area to enter a trade. The same area can be used as a take profit level also.
The indicator identifies previous high/lows in two ways:
1. previous high/lows using 'PIVOT POINTS'. Pivots are easy to spot and are obvious within a price trend. Also called 'higher highs", "lower lows" etc. The number of candles required to form the pivot point can be adjusted in the script settings.
see below example of pivot point and stop hunt:
www.tradingview.com
see how price reversed upwards after stop hunt on pivot point above.
2. previous candle high/lows. A previous candles high and low are also good areas of liquidity.
see below example of previous candle stop hunt:
see how price reversed upwards after stop hunt on previous candle low above.
Personally, I use the pivot point stop hunts on lower timeframes and previous candle stop hunts on higher timeframes. However users can adjust on which timeframes to show the indicator depending on their own trading style.
As ever all items within 'settings' are customizable.
The indicator is by no means a 'trading strategy' and users should be fully aware of the stop hunt concept and have conducted extensive back-testing before using with 'live' accounts.
The indicator may also serve as a 'teaching aid' to new students and as a reminder to more experienced traders.
Cari dalam skrip untuk "liquidity"
Liquidity-Finder ICT / SMCIn the context of ICT and the Smart Money Concept, liquidity is likely viewed as a crucial factor for determining the strength and sustainability of a market move. Smart Money is often associated with large institutional traders who have the ability to influence liquidity.
Liquidity Sweep:
A liquidity sweep in this context might involve Smart Money intentionally executing trades across various price levels to assess market depth and liquidity. This information can be used to identify potential areas of interest for Smart Money to initiate or exit positions without causing significant price disruptions.
Stop Hunt:
Stop hunting is a concept that Smart Money traders may employ to deliberately trigger stop orders in the market. By doing so, they can create temporary price movements that allow them to accumulate or liquidate positions at more favorable prices before the market reacts.
Smart Money Concept (SMC):
The Smart Money Concept revolves around the idea that large institutional traders (Smart Money) have superior information and resources compared to retail traders. Understanding the behavior of Smart Money, as taught in ICT and SMC, involves analyzing market dynamics, order flow, and liquidity to make more informed trading decisions.
Liquidating:
Liquidating refers to the process of selling or closing out existing positions. In the context of Smart Money, the term could imply that institutional traders are actively managing their positions, either taking profits or cutting losses strategically based on their analysis of market conditions.
The Indicator
The Indicator show open liquidity as solid lines and liquidates liquidity as dashed lines
Is able to send alerts for liquidity level was liquidated, liquidity level was dipped or the next close is on the other side
Liquidity Hunt SwiftEdgeThe "Liquidity Hunt Dashboard By SwiftEdge" indicator is designed to assist traders in identifying potential liquidity zones by placing a dynamic target line based on swing points and weighted liquidity. It leverages technical analysis tools such as SMA (Simple Moving Average), pivot points, and volume to predict market movements and provides daily statistics on hits and success rate. The target line updates automatically when the price hits it, adapting to the market trend (up, down, or neutral). A dashboard displays the current price, target level, prediction, and trend, making it easy to make informed trading decisions.
Features:
Target Line: A yellow dashed line marks the next expected liquidity level (up to approximately 20 pips away on 1m).
Prediction: Displays "Up (Chasing Sell Liquidity)," "Down (Chasing Buy Liquidity)," or "Neutral" based on trend and liquidity.
Daily Statistics: Tracks hits and success rate, resetting daily.
Trend Indicator: Shows market direction ("Up," "Down," or "Neutral") in the dashboard.
Dynamic Updates: The line moves to a new target level when the price hits the current target.
Recommended Settings for 1-Minute Timeframe:
For Indices (e.g., S&P 500):
Lookback Period: 180 (3 hours to capture more stable swing points).
Max Distance (%): 0.015 (approximately 15 pips, suitable for indices).
Cooldown Period: 5 (stabilizes after hits).
Line Duration: 60 (displays the line for 1 hour).
For Crypto (e.g., BTC/USD):
Lookback Period: 120 (2 hours to capture short-term swing points).
Max Distance (%): 0.024 (approximately 20 pips, suitable for volatile crypto markets).
Cooldown Period: 5.
Line Duration: 60.
For Forex (e.g., EUR/USD):
Lookback Period: 180 (3 hours for greater data density in less volatile markets).
Max Distance (%): 0.012 (approximately 10-12 pips, suitable for forex).
Cooldown Period: 5.
Line Duration: 60.
Guide for Higher Timeframes:
This indicator can be adapted for higher timeframes (e.g., 5m, 15m, 1H) by adjusting the settings to account for larger price movements and slower market dynamics. Follow these steps:
Select Your Timeframe: Switch your chart to the desired timeframe (e.g., 5m, 15m, or 1H).
Adjust Lookback Period: Increase the "Lookback Period" to cover a longer historical period. For example:
5m: Set to 360 (equivalent to 6 hours).
15m: Set to 480 (equivalent to 8 hours).
1H: Set to 720 (equivalent to 12 hours).
Adjust Max Distance (%): Higher timeframes require larger targets to account for bigger price swings. For example:
5m: Increase to 0.05 (approximately 50 pips).
15m: Increase to 0.1 (approximately 100 pips).
1H: Increase to 0.2 (approximately 200 pips).
Adjust Cooldown Period: On higher timeframes, you may want a longer cooldown to avoid frequent updates. For example:
5m: Set to 10.
15m: Set to 15.
1H: Set to 20.
Adjust Line Duration: Extend the duration the line is displayed to match the timeframe. For example:
5m: Set to 120 (equivalent to 10 hours).
15m: Set to 240 (equivalent to 60 hours).
1H: Set to 480 (equivalent to 20 days).
Monitor the Dashboard: The dashboard will still show the target level, prediction, and trend, but the values will now reflect the larger timeframe's dynamics.
Usage Instructions:
Set your chart to a 1-minute timeframe (or follow the higher timeframe guide).
Adjust the settings based on the market and timeframe (see recommendations above).
Monitor the dashboard for the current price, target level, and prediction.
Use the yellow line as a potential entry or exit level, and adjust your strategy based on the trend and statistics.
Notes:
This indicator is intended solely for educational and analytical purposes and should not be considered financial advice.
Test the indicator on a demo account before using it with real funds.
The indicator complies with TradingView guidelines by not providing trading advice, automated trading signals, or guarantees of profit.
Liquidity Lines 2.0Liquidity Lines Indicator Description:
This indicator detects points of liquidity based on reversals in price action. It simulates simple moving average (SMA) candles and identifies when raw price candles engulf either the low of a bullish SMA candle or the high of a bearish SMA candle. The liquidity point is then placed at the high of the bearish SMA candle or the low of the bullish SMA candle. These levels often correspond to areas where many traders place stop-loss orders and can provide insight into where “smart money” might be hunting liquidity.
Features and Alerts:
Liquidity Lines automatically track upper and lower liquidity levels and plot them as customizable horizontal lines on the chart. Users can adjust line length, color, width, and style, and choose whether lines extend to the right. The indicator also detects when these liquidity levels are “swept” by price and triggers alerts in real time, allowing traders to be notified of potential stop-loss hunts or key market reactions as they happen. This makes it easy to monitor critical liquidity zones without constantly watching the chart.
How to Use Strategically:
Traders can use these liquidity points to anticipate potential price reactions. For example, if price approaches a lower liquidity line from above, it may act as support or a zone where stop orders are being triggered. Conversely, an upper liquidity line may act as resistance or a trigger zone for stops above the market. Combining these levels with your existing market structure, trend analysis, or confirmation signals can help identify high-probability entries, exits, and areas where smart money activity may occur.
Liquidity Sweep DetectorThe Liquidity Sweep Detector represents a technical analysis tool specifically designed to identify market microstructure patterns typically associated with institutional trading activity. According to Harris (2003), institutional traders frequently employ tactics where they momentarily break through price levels to trigger stop orders before redirecting the market in the opposite direction. This phenomenon, commonly referred to as "stop hunting" or "liquidity sweeping," constitutes a significant aspect of institutional order flow analysis (Osler, 2003). The current implementation provides retail traders with a means to identify these patterns, potentially aligning their trading decisions with institutional movements rather than becoming victims of such strategies.
Osler's (2003) research documents how stop-loss orders tend to cluster around significant price levels, creating concentrations of liquidity. Taylor (2005) argues that sophisticated institutional participants systematically exploit these liquidity clusters by inducing price movements that trigger these orders, subsequently profiting from the ensuing price reaction. The algorithmic detection of such patterns involves several key processes. First, the indicator identifies swing points—local maxima and minima—through comparison with historical price data within a definable lookback period. These swing points correspond to what Bulkowski (2011) describes as "significant pivot points" that frequently serve as liquidity zones where stop orders accumulate.
The core detection algorithm utilizes a multi-stage process to identify potential sweeps. For high sweeps, it monitors when price exceeds a previous swing high by a specified threshold percentage, followed by a bearish candle that closes below the original swing high level. Conversely, for low sweeps, it detects when price drops below a previous swing low by the threshold percentage, followed by a bullish candle closing above the original swing low. As noted by Lo and MacKinlay (2011), these price patterns often emerge when large institutional players attempt to capture liquidity before initiating significant directional moves.
The indicator maintains historical arrays of detected sweep events with their corresponding timestamps, enabling temporal analysis of market behavior following such events. Visual elements include horizontal lines marking sweep levels, background color highlighting for sweep events, and an information table displaying active sweeps with their corresponding price levels and elapsed time since detection. This visualization approach allows traders to quickly identify potential institutional activity without requiring complex interpretation of raw price data.
Parameter customization includes adjustable lookback periods for swing point identification, sweep threshold percentages for signal sensitivity, and display duration settings. These parameters allow traders to adapt the indicator to various market conditions and timeframes, as markets demonstrate different liquidity characteristics across instruments and periods (Madhavan, 2000).
Empirical studies by Easley et al. (2012) suggest that retail traders who successfully identify and act upon institutional liquidity sweeps may achieve superior risk-adjusted returns compared to conventional technical analysis approaches. However, as cautioned by Chordia et al. (2008), such patterns should be considered within broader market context rather than in isolation, as their predictive value varies significantly with overall market volatility and liquidity conditions.
References:
Bulkowski, T. (2011). Encyclopedia of Chart Patterns (2nd ed.). John Wiley & Sons.
Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249-268.
Easley, D., López de Prado, M., & O'Hara, M. (2012). Flow Toxicity and Liquidity in a High-frequency World. The Review of Financial Studies, 25(5), 1457-1493.
Harris, L. (2003). Trading and Exchanges: Market Microstructure for Practitioners. Oxford University Press.
Lo, A. W., & MacKinlay, A. C. (2011). A Non-Random Walk Down Wall Street. Princeton University Press.
Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205-258.
Osler, C. L. (2003). Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis. Journal of Finance, 58(5), 1791-1820.
Taylor, M. P. (2005). Official Foreign Exchange Intervention as a Coordinating Signal in the Dollar-Yen Market. Pacific Economic Review, 10(1), 73-82.
Liquidity Analysis with Volume, ATR, and Chaikin Oscillator
Script Name: Liquidity Analysis with Volume, ATR, and Chaikin Oscillator
Description: This script analyzes market liquidity using three key indicators: Volume, ATR (Average True Range), and the Chaikin Oscillator. Based on the combination of these indicators, the script identifies three market conditions and visually highlights them with background colors:
High Liquidity Uptrend (Green Background):
Occurs when volume is high, ATR is above the threshold, and the Chaikin Oscillator is positive. This indicates strong liquidity with an upward trend in the market.
Alert: "High Liquidity Uptrend detected."
High Liquidity Downtrend (Red Background):
Occurs when volume is high, ATR is above the threshold, and the Chaikin Oscillator is negative. This signals strong liquidity but with a downward market trend.
Alert: "High Liquidity Downtrend detected."
Low Liquidity Stagnant Market (Yellow Background):
Occurs when volume is low, and ATR is below the threshold. This suggests a market with low liquidity and minimal price movement, indicating a range or stagnant phase.
Alert: "Low Liquidity Stagnant market detected."
Input Settings Panel:
Volume Threshold: This value sets the minimum volume required to determine high liquidity. If the volume is above this value, it is considered "high volume."
ATR Length: Defines the number of periods used to calculate ATR. The higher the value, the more smoothed the ATR calculation.
ATR Threshold: This sets the minimum ATR value required to signal a market with significant volatility. If ATR is above this value, the market is considered to have high volatility.
These settings allow you to fine-tune the script based on the characteristics of the asset being analyzed.
スクリプト名: 出来高、ATR、チャイキンオシレーターを用いた流動性分析
説明: このスクリプトは、出来高、ATR（平均真値幅）、およびチャイキンオシレーターという3つの主要な指標を用いて市場の流動性を分析します。これらの指標の組み合わせに基づいて、3つの市場状況を特定し、背景色で視覚的にハイライトします。
流動性が高い上昇相場（背景色：緑）:
出来高が高く、ATRがしきい値を超え、チャイキンオシレーターがプラスの場合に発生します。これは、強い流動性と市場の上昇トレンドを示します。
アラート: 「高流動性の上昇トレンドが検出されました。」
流動性が高い下降相場（背景色：赤）:
出来高が高く、ATRがしきい値を超え、チャイキンオシレーターがマイナスの場合に発生します。これは、強い流動性を伴う下降トレンドを示します。
アラート: 「高流動性の下降トレンドが検出されました。」
流動性が低い停滞相場（背景色：黄色）:
出来高が低く、ATRがしきい値以下の場合に発生します。これは流動性が低く、価格変動が少ない、レンジまたは停滞フェーズを示しています。
アラート: 「低流動性の停滞相場が検出されました。」
設定パネルの入力項目:
出来高のしきい値: 高流動性を判定するために必要な最小の出来高を設定します。この値を超える場合、「高出来高」と見なされます。
ATRの期間: ATRを計算する際に使用される期間数を定義します。値が大きいほど、ATRの計算が滑らかになります。
ATRのしきい値: しきい値を超えた場合に市場に大きなボラティリティがあると判断します。この値を上回るATRであれば、ボラティリティが高いと見なされます。
これらの設定により、分析対象の資産の特性に応じてスクリプトを調整できます。
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum.
The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex.
This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values correspond to a stable and calm market environment, and lower values indicate periods of increased risk and potential liquidity stress.
LT generates an integral liquidity index in the range based on five normalized components:
-nVol — normalized volume, reflecting trading density and activity.
-nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity.
-nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement.
-nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand.
-nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes.
Each metric is linearly normalized over a sliding window (200 bars) using the formula:
norm(x) = (x − min) / (max − min),
where at max = min, the value is fixed at 0.5 to ensure stability.
The ALT index is calculated as a weighted combination:
ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove)
The result is further smoothed using EMA(3) to reduce micronoise.
Red Zone (MLI < 0.25) — Risk, Thin Liquidity
When the indicator falls into the red zone, it means the market is extremely volatile:
Characteristics:
Low volume — small trades have a strong impact on the price.
High volatility — candlesticks rise or fall sharply.
Wide candlestick range — the market is "breathing heavily," easily breaking price extremes.
Impulsive movements — small market shocks lead to sharp spikes.
Thin liquidity — few orders in the order book, large orders "eat up" the market.
What this means for a trader:
🔥 High risk of spikes and false breakouts.
⚠ Possible series of liquidations on leverage.
❌ It is not recommended to enter long or short positions without a filter or protection.
✅ Can be used for short scalping strategies if you know the entry point, but very carefully.
Green Zone (MLI > 0.75) — High Liquidity, Safe Zone
When the indicator rises into the green zone, it means the market is stable and balanced:
Characteristics:
High volume — the market is deep, orders are executed without a strong impact on the price.
Low volatility — candlesticks are stable, no sharp spikes.
Narrow candlestick range — price moves calmly.
Weak impulse movements — no sharp surges.
Sufficient liquidity — the market can handle large orders.
What this means for a trader:
✅ Safe zone for opening positions.
🔄 Easier to set stop-loss and take-profit orders.
💡 You can trade both up and down, the risk of sharp movements is minimal.
⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations.
It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
Liquidity Hour by Ibramiho v2Liquidity Hour by Ibramiho (Version 2) - Identify High-Potential Reversal Zones
Understanding the pre-New York session hour is crucial for institutional traders. This period is often characterized by increased liquidity and price volatility as major financial players prepare for the upcoming trading day. The Liquidity Hour indicator capitalizes on this phenomenon, automatically pinpointing the candle (by default, in orange) immediately before the New York session opens.
Why Focus on This Candle?
Liquidity Magnet: Institutional traders often use this hour to establish or adjust positions, creating pockets of liquidity.
Breakout and Retracement Potential: The indicator helps you spot potential areas where price might retrace after a breakout, offering high-probability trading opportunities.
Visual Clarity: The highlighted candle acts as a visual anchor, making it easy to identify these key levels on your chart.
How It Works
1. Automatic Detection: The indicator intelligently detects the pre-New York session candle, regardless of your chart's timeframe.
2. Colour Coding: The candle is highlighted in orange (customizable), instantly drawing your attention.
3. Trade Insights: Watch for price breakouts above or below the highlighted candle. When price retraces back to this level, it signals a potential entry or exit point.
Key Features
Customizable Colour: Change the highlight colour to suit your chart preferences.
Working Timeframes: Works on timeframes, from minutes up to 2 hours timeframe.
Versatile Trading: Suitable for both intraday and swing trading strategies.
Unlock the Power of Institutional Liquidity
Don't miss out on the opportunities that arise in the hour before the New York session. With the Liquidity Hour indicator, you'll gain a valuable edge by identifying key levels where price action is most likely to reverse.
Liquidity Zones (JTS)Title: Liquidity Zones (JTS)
Description:
This script marks out key liquidity zones using pivot highs and lows. It includes:
Buy-Side Liquidity (Highs): Shown in red lines
Sell-Side Liquidity (Lows): Shown in green lines
Sweep Protection: Zones will only be removed after a defined number of bars AND a true sweep beyond the level
Toggle Controls: Enable/disable highs or lows individually
Adjustable Settings: Pivot length, sweep delay, max lines, and colors
Perfect for traders looking to track untapped or recently swept liquidity.
Created by JTS
For educational and strategic use
Liquidity Sweep Reentry ToolkitHere’s a clear breakdown of what your Liquidity Sweep Reentry Toolkit script does, and how you can use it on your charts:
🔎 Script Breakdown
1. Visual Controls (Inputs)
• : Master toggle to turn all visuals on/off.
• : Show labels when a liquidity sweep + ChoCh condition occurs.
• : Plot green/red triangles for bullish/bearish reentry signals.
• : Prevent multiple signals within the same swing.
• : Show HH/HL/LL/LH market structure letters.
• : Slider to adjust how dim the background of HH/HL/LL/LH labels appear.
2. Core Conditions
• Defines simple bullish () and bearish () candles.
• is a placeholder for your Change of Character logic.
3. Sweep Detection
• : Detects when price makes a new high compared to the last 5 bars.
• : Detects when price makes a new low compared to the last 5 bars.
4. Restriction Flags
• Tracks whether a sweep signal has already triggered in the current swing.
• Resets when sweeps end, so new signals can appear.
5. Composite Triggers
• : Fires when bullish candle + buy-side sweep + ChoCh condition align.
• : Fires when bearish candle + sell-side sweep + ChoCh condition align.
6. Visual Labels
• Gold labels mark “BS Sweep + ChoCh” or “SS Sweep + ChoCh” events.
• Green triangle below bar = bullish reentry.
• Red triangle above bar = bearish reentry.
• Blue HH/HL/LL/LH labels narrate market structure pivots, with adjustable transparency.
7. Alerts
• Alerts can be set for bullish or bearish sweep reentry triggers, so you get notified when conditions align.
📘 How to Use It
1. Apply to Chart
Add the script to your TradingView chart (works best on intraday timeframes like 5‑minute).
2. Configure Visuals
• Use the Visual Controls panel to toggle features on/off.
• Adjust the Label Transparency slider to dim or brighten the HH/HL/LL/LH labels.
3. Interpret Signals
• Gold labels show when a sweep + ChoCh condition occurs.
• Triangles mark potential reentry points (green = bullish, red = bearish).
• HH/HL/LL/LH labels narrate market structure shifts for clarity.
4. Set Alerts
• Use the built‑in alert conditions to get notified when bullish or bearish sweep reentry triggers fire.
👉 In short: this toolkit helps you spot liquidity sweeps, confirm with ChoCh, and visualize reentry signals, while also narrating market structure pivots. It’s modular, so you can toggle features depending on how much visual clutter you want.
🛠 Workflow Example
1. Setup
• Apply the script to your chart (e.g., 5‑minute S&P futures).
• In the indicator settings, decide which visuals you want:
• Turn on Sweep + ChoCh labels if you want to see gold tags narrating liquidity events.
• Keep Entry triangles on to highlight actionable reentry points.
• Adjust the Label Transparency slider so HH/HL/LL/LH structure labels are dim enough not to clutter.
2. Watch for Sweeps
• As price pushes above recent highs → a Buy‑side Sweep is detected.
• As price dips below recent lows → a Sell‑side Sweep is detected.
• If ChoCh logic is true at the same time, you’ll see a gold label (“BS Sweep + ChoCh” or “SS Sweep + ChoCh”).
3. Confirm Reentry
• If conditions align (bullish candle + buy‑side sweep + ChoCh), you’ll see a green triangle below the bar.
• If bearish candle + sell‑side sweep + ChoCh, you’ll see a red triangle above the bar.
• These triangles are your potential reentry triggers.
4. Narrate Market Structure
• HH/HL/LL/LH labels appear at pivots, giving you a running commentary of structure shifts.
• Example: HH → HL → HH shows bullish continuation; LH → LL → LH shows bearish pressure.
• Use the transparency slider to keep these labels subtle but visible.
5. Alerts
• Set alerts for “Bullish Sweep Reentry” or “Bearish Sweep Reentry” so you don’t miss signals even if you’re away from the screen.
📘 How to Use in Practice
• Intraday trading: On a 5‑minute chart, use the toolkit to spot liquidity grabs and confirm reentry points.
• Narration: The HH/HL/LL/LH labels help you keep track of structure without manually marking pivots.
• Decision making: Gold labels + triangles = potential trade setups. Structure labels = context for trend bias.
• Customization: Dim labels when you want a cleaner chart, brighten them when you’re focused on structure.
👉 In short: this script gives you a modular toolkit — sweeps, ChoCh confirmation, reentry signals, and structure narration — all adjustable so you can tailor the visuals to your workflow.
📈 Bullish Scenario Walkthrough
1. Market Context
• You’re watching the 5‑minute chart.
• Price has been consolidating near recent highs, building liquidity above.
2. Liquidity Sweep
• Price spikes above the prior swing high → the script detects a buy‑side sweep.
• A gold label appears: “BS Sweep + ChoCh” (if your ChoCh condition is true).
3. Change of Character (ChoCh)
• The candle closes bullish ().
• Your ChoCh condition confirms a structural shift.
• Together, sweep + ChoCh = potential reentry setup.
4. Reentry Trigger
• The script plots a green triangle below the bar.
• This marks a bullish sweep reentry signal: price grabbed liquidity and is now showing strength.
5. Market Structure Narration
• At the same time, the HH/HL labels update:
• The sweep bar prints a new HH.
• The next pivot low prints an HL.
• This narrates bullish continuation: HH → HL → HH.
6. Trade Decision
• You can use the green triangle as your entry cue.
• The HH/HL narration gives you confidence that structure supports the trade.
• Alerts can be set so you don’t miss the trigger.
7. Risk Management
• Stop placement: below the HL pivot or sweep low.
• Target: next liquidity pool above, or measured move.
🧭 How to Use This in Practice
• Gold label = liquidity event + ChoCh confirmation.
• Green triangle = actionable bullish reentry trigger.
• HH/HL narration = context for trend bias and trade management.
• Transparency slider = keep structure labels subtle so the chart stays clean.
📉 Bearish Scenario Walkthrough
1. Market Context
• You’re watching the 5‑minute chart.
• Price has been consolidating near recent lows, building liquidity underneath.
2. Liquidity Sweep
• Price spikes below the prior swing low → the script detects a sell‑side sweep.
• A gold label appears: “SS Sweep + ChoCh” (if your ChoCh condition is true).
3. Change of Character (ChoCh)
• The candle closes bearish ().
• Your ChoCh condition confirms a structural shift.
• Together, sweep + ChoCh = potential bearish reentry setup.
4. Reentry Trigger
• The script plots a red triangle above the bar.
• This marks a bearish sweep reentry signal: price grabbed liquidity below and is now showing weakness.
5. Market Structure Narration
• At the same time, the LH/LL labels update:
• The sweep bar prints a new LL.
• The next pivot high prints a LH.
• This narrates bearish continuation: LH → LL → LH.
6. Trade Decision
• You can use the red triangle as your entry cue.
• The LH/LL narration gives you confidence that structure supports the short.
• Alerts can be set so you don’t miss the trigger.
7. Risk Management
• Stop placement: above the LH pivot or sweep high.
• Target: next liquidity pool below, or measured move.
🧭 How to Use This in Practice
• Gold label = liquidity event + ChoCh confirmation.
• Red triangle = actionable bearish reentry trigger.
• LH/LL narration = context for trend bias and trade management.
• Transparency slider = keep structure labels subtle so the chart stays clean.
Liquidity Zones [ActiveQuants]The Liquidity Zones indicator detects price areas where high trading volume coincides with below-average volatility , critical zones where large players often accumulate or distribute positions. Ideal for spotting potential reversal points and strategic liquidity pools.
Core Detection Formula
Liquidity Zone = (Volume > SMA(Volume, Length) × Multiplier) AND (Short-Term Volatility < 0.5 × Average Volatility)
Volume Surge Detection
Compares current volume to its SMA (user-defined length).
Multiplies threshold with " Volume Threshold Multiplier " parameter.
Volatility Contraction Filter
Calculates 5-bar volatility (standard deviation of closes).
Compares to average volatility over " Price Std. Dev. Length " period.
Requires short-term volatility < 50% of average.
█ KEY FEATURES
Merging Consecutive Zones
If the " Merge Consecutive Zones " option is enabled, the indicator will:
Calculate the number of consecutive bars that meet the liquidity zone criteria.
Sum the volume of these consecutive bars.
Display only the most recent label for the merged zone (previous labels in the sequence are removed).
Displays volume in either
Raw units (" Units ").
Dollar-equivalent (" Currency Value ") using closing price.
Alerts
An alert condition is built into the script. Traders can selectively enable alerts via TradingView’s alert system. Whenever a liquidity zone is detected, an alert is triggered with the message: " High-volume and low-volatility zone detected! ".
█ USER INPUTS
- Liquidity Zones Color
Sets the background color for liquidity zones.
Default: Orange (with 70 transparency).
- Volume SMA Length
Determines the number of bars over which the volume simple moving average is calculated.
Default: 20 bars.
- Volume Threshold Multiplier
Multiplies the volume SMA to establish a threshold. A bar’s volume must exceed this product to be considered high volume.
Default: 2.0.
- Price Std. Dev. Length
The period used to calculate the standard deviation of the closing prices. This is the basis for measuring average volatility.
Default: 14 bars.
- Zone Volume
A toggle to display a label with the volume value on liquidity zones.
Allows you to choose how the volume is displayed: Units (shows raw volume) or Currency Value (multiplies volume by the current closing price).
Allows you to choose the font size of the volume label.
- Merge Consecutive Zones
When enabled, volumes from consecutive liquidity zones are summed into a single total, and only the most recent label is displayed (previous labels in the sequence are removed).
Default: Enabled.
- Show Last
Specifies the number of bars back that the indicator will evaluate and plot liquidity zones.
Default: 500 bars.
- Timeframe
Analysis period.
Default: Chart.
█ CONCLUSION
The Liquidity Zones indicator is a powerful tool for traders seeking to identify key areas on the chart where liquidity is concentrated, characterized by high volume and low volatility . With customizable settings for volume analysis and volatility measurement , this indicator can be integrated into a wide range of trading strategies. It not only highlights these zones visually but also provides volume data labels and alerts for timely decision-making.
█ IMPORTANT NOTES
⚠ Volume and Volatility Settings: Adjust the Volume SMA Length , Volume Threshold Multiplier , and Price Std. Dev. Length to suit the typical trading volume and volatility of the asset you are analyzing.
⚠ Confirmed Bars Only: Signals are generated only on confirmed bars. This minimizes false signals due to intra-bar noise and also prevents indicator repainting .
⚠ Risk Management: Liquidity zones may signal areas of potential accumulation or distribution, but they should be used in conjunction with other technical analysis tools (e.g., support/resistance levels, trendlines, or momentum indicators). Trading involves risk, and it is recommended to combine this indicator with proper risk management techniques.
█ RISK DISCLAIMER
Trading involves substantial risk of loss. Liquidity zones indicate potential interest areas but don't guarantee price reactions. Always confirm with additional analysis and proper risk management. Past performance is not indicative of future results.
📈 Happy trading! 🚀
Liquidity Sweep + BOS Retest System — Prop Firm Edition🟦 Liquidity Sweep + BOS Retest System — Prop Firm Edition
A High-Probability Smart Money Strategy Built for NQ, ES, and Funding Accounts
🚀 Overview
The Liquidity Sweep + BOS Retest System (Prop Firm Edition) is a precision-engineered SMC strategy built specifically for prop firm traders. It mirrors institutional liquidity behavior and combines it with strict account-safe entry rules to help traders pass and maintain funding accounts with consistency.
Unlike typical indicators, this system waits for three confirmations — liquidity sweep, displacement, and a clean retest — before executing any trade. Every component is optimized for low drawdown, high R:R, and prop-firm-approved risk management.
Whether you’re trading Apex, TakeProfitTrader, FFF, or OneUp Trader, this system gives you a powerful mechanical framework that keeps you within rules while identifying the market’s highest-probability reversal zones.
🔥 Key Features
1. Liquidity Sweep Detection (Stop Hunt Logic)
Automatically identifies when price clears a previous swing high/low with a sweep confirmation candle.
✔ Filters noise
✔ Eliminates early entries
✔ Locks onto true liquidity grabs
2. Automatic Break of Structure (BOS) Confirmation
Price must show true displacement by breaking structure opposite the sweep direction.
✔ Confirms momentum shift
✔ Removes fake reversals
✔ Ensures institutional intent
3. Precision Retest Entry Model
The strategy enters only when price retests the BOS level at premium/discount pricing.
✔ Zero chasing
✔ Extremely tight stop loss placement
✔ Prop-firm-friendly controlled risk
4. Built-In Risk & Trade Management
SL set at swept liquidity
TP set by user-defined R:R multiplier
Optional session filter (NY Open by default)
One trade at a time (no pyramiding)
Automatically resets logic after each trade
This prevents overtrading — the #1 cause of evaluation and account breaches.
5. Designed for Prop Firm Futures Trading
This script is optimized for:
Trailing/static drawdown accounts
Micro contract precision
Funding evaluations
Low-risk, high-probability setups
Structured, rule-based execution
It reduces randomness and emotional trading by automating the highest-quality SMC sequence.
🎯 The Trading Model Behind the System
Step 1 — Liquidity Sweep
Price must take out a recent high/low and close back inside structure.
This confirms stop-hunting behavior and marks the beginning of a potential reversal.
Step 2 — BOS (Break of Structure)
Price must break the opposite side swing with a displacement candle. This validates a directional shift.
Step 3 — Retest Entry
The system waits for price to retrace into the BOS level and signal continuation.
This creates optimal R:R entry with minimal drawdown.
📈 Best Markets
NQ (NASDAQ Futures) – Highly recommended
ES, YM, RTY
Gold (XAUUSD)
FX majors
Crypto (with high volatility)
Works best on 1m, 2m, 5m, or 15m depending on your trading style.
🧠 Why Traders Love This System
✔ No signals until all confirmations align
✔ Reduces overtrading and emotional decisions
✔ Follows market structure instead of random indicators
✔ Perfect for maintaining long-term funded accounts
✔ Built around institutional-grade concepts
✔ Makes your trading consistent, calm, and rules-based
⚙️ Recommended Settings
Session: 06:30–08:00 MST (NY Open)
R:R: 1.5R – 3R
Contracts: Start with 1–2 micros
Markets: NQ for best structure & volume
📦 What’s Included
Complete strategy logic
All plots, labels, sweep markers & BOS alerts
BOS retest entry automation
Session filtering
Stop loss & take profit system
Full SMC logic pipeline
🏁 Summary
The Liquidity Sweep + BOS Retest System is a complete, prop-firm-ready, structure-based strategy that automates one of the cleanest and most reliable SMC entry models. It is designed to keep you safe, consistent, and rule-compliant while capturing premium institutional setups.
If you want to trade with confidence, discipline, and prop-firm precision — this system is for you.
Good Luck -BG
Liquidity Sweep & Reversal — Body Anchored + Risk (v6)Overview
The Liquidity Sweep & Reversal — Locked to Price (v6) indicator identifies liquidity sweeps around major swing highs and lows, confirming reversals when price closes back inside the swept level.
All signals are locked to price (bottom of green candle for BUY, top of red candle for SELL), so they remain perfectly aligned when zooming or scaling.
This indicator is ideal for swing traders and scalpers who trade reversals, liquidity events, and reclaim structures.
How It Works
Detects confirmed swing highs and lows using a pivot-based structure.
Waits for a liquidity sweep — when price wicks beyond a recent swing.
Confirms a reclaim when price closes back inside the previous swing level.
Triggers a BUY or SELL signal anchored to the candle body.
Automatically calculates stop loss and risk using ATR and your inputs.
Input Settings
Swing Detection
Swing Detection Strength: How many bars confirm a swing pivot. Higher = stronger swings.
Bars to Confirm Reclaim: Number of bars after a sweep for price to close back within the swing zone.
Swing Proximity %: How close price must come to a swing to count as a liquidity sweep.
Trend Filter (optional)
Use EMA Trend Filter: When enabled, only BUY in uptrend and SELL in downtrend.
Fast EMA Length / Slow EMA Length: Define EMAs used to detect trend direction.
Risk & Stop Management
ATR Length: Period for ATR calculation (volatility measurement).
Base ATR Stop Buffer (x ATR): Distance of stop loss from entry based on ATR multiplier.
Position Size (quote units): Your total position size in quote currency (e.g., USDT).
Risk % of (Position / 20): Defines how much of your position to risk per trade.
Example: (Position / 20) × Risk % = per-trade risk.
Chart Elements
BUY Arrow (green): Appears after a liquidity sweep and reclaim near a swing low.
SELL Arrow (red): Appears after a sweep and reclaim near a swing high.
Labels: Display entry price, stop loss (SL), and calculated risk dollar value.
EMAs: Optional fast/slow moving averages for directional bias.
Dynamic Stops: Adjust automatically using ATR × risk settings.
Trading Tips
Use BUY signals near liquidity sweeps under swing lows.
Use SELL signals near liquidity sweeps above swing highs.
Adjust swing length for different timeframes:
Lower values for scalping (3–5)
Higher values for swing trading (7–10)
Respect stop loss levels and use risk control settings for consistent sizing.
Combine with volume, OBV, or structure for confirmation.
Alerts
BUY — Locked to Price: "BUY: swing low reclaimed with dynamic stop."
SELL — Locked to Price: "SELL: swing high reclaimed with dynamic stop."
Best Use Cases
Liquidity-based reversals
Swing entry confirmation
Stop hunt reclaims
Structure-based entries
Author
Created by @roccodallas
For traders who value clean structure, risk control, and chart precision.
Liquidity LinesLiquidity Lines Indicator
This advanced TradingView indicator identifies key liquidity zones on your price chart by detecting bullish and bearish engulfing candles, which often signify areas where liquidity accumulates. It helps traders visually spot potential support and resistance levels created by market participants’ stop-loss orders or pending orders.
Key Features :
-Aggregated Bars Option : Smooth out price data by grouping bars together, enabling clearer liquidity zone identification on higher timeframes or noisy charts.
-Upper Liquidity Lines : Displays dashed lines at recent highs where bearish engulfing patterns indicate potential resistance or supply zones.
-Lower Liquidity Lines : Displays dashed lines at recent lows where bullish engulfing patterns suggest potential support or demand zones.
-Customizable Colors : Choose your preferred colors for bullish (default black) and bearish (default white) liquidity lines for better visual distinction.
-Automatic Line Cleanup : Maintains chart clarity by automatically removing old liquidity lines after a configurable limit.
-Dynamic Alerts : Trigger alerts when price breaches upper or lower liquidity lines, signaling potential breakout or reversal opportunities.
Use Cases :
Liquidity Sweep with EMAThis Pine Script indicator helps traders identify potential market reversals based on liquidity sweeps, where the price moves through the previous candle's low or high and then closes above or below the previous candle's wick. These are often seen as significant market moves or liquidity grabs before a potential reversal or continuation.
The indicator is also equipped with an EMA (Exponential Moving Average) as an optional visual aid to give traders a sense of the prevailing trend, though it is not used as part of the signal generation logic.
Key Features:
Liquidity Sweep Detection:
Bullish Sweep: Triggered when the current candle sweeps below the low of the previous candle and then closes above the high of the previous candle. This indicates a potential market reversal to the upside after the liquidity sweep.
Bearish Sweep: Triggered when the current candle sweeps above the high of the previous candle and then closes below the low of the previous candle. This indicates a potential market reversal to the downside after the liquidity sweep.
EMA:
The EMA (50) is plotted on the chart for visual trend guidance. While it is not used to confirm the signals, it can help traders see if the market is in a general uptrend or downtrend.
Signal Presentation:
Buy Signal: The indicator will plot a green upward arrow below the candle when a bullish liquidity sweep is detected.
Sell Signal: The indicator will plot a red downward arrow above the candle when a bearish liquidity sweep is detected.
Timeframe Filter:
The indicator only generates signals on the following timeframes: 30-minute, 1-hour, 4-hour, and Daily. This helps to ensure the sweeps are significant and likely to result in meaningful price moves.
Alerts:
Alerts can be set up for both bullish and bearish sweep signals, so traders can be notified when these events occur.
Customizable:
EMA Length: The length of the Exponential Moving Average (EMA) can be adjusted. By default, it is set to 50, but you can modify this to fit your trading strategy.
Show EMA Option: You can toggle whether or not to display the EMA line on the chart.
How It Works:
The indicator looks for price action patterns where the current candle sweeps through the high or low of the previous candle and closes beyond the previous wick.
These patterns are often seen as potential traps, where the price initially moves in one direction (sweeping the liquidity) and then quickly reverses, making them important for traders who want to catch reversals or breakouts after a liquidity sweep.
The EMA (50) gives a general trend direction but doesn't directly affect the trade signals. It serves as a visual reference for trend analysis.
Potential Use Cases:
Reversal Trading: Traders can use this indicator to catch reversals after a liquidity sweep. The green upward arrows may indicate a bullish reversal, while the red downward arrows may indicate a bearish reversal.
Trend Trading: The EMA can help traders gauge the overall market trend. If the price is above the EMA, the market may be in an uptrend, and traders may focus on bullish sweeps. Conversely, if the price is below the EMA, the market may be in a downtrend, and traders may focus on bearish sweeps.
Confirmation with Other Indicators: Although the EMA is not used to confirm signals in this script, it can be combined with other indicators (like RSI, Volume, or MACD) to enhance the accuracy of your trades.
Final Thoughts:
This script is designed to identify liquidity sweeps and price reversals based on price action alone, without relying on complex indicators. The optional EMA serves as a helpful tool for understanding the overall market trend. It’s ideal for traders looking to spot potential reversal points after significant price sweeps and is suitable for multiple timeframes (30m, 1h, 4h, Daily).
You can use this description to help potential users understand the functionality of your indicator when publishing it on TradingView or selling it as an invite-only script. Let me know if you need any adjustments or further details!
Liquidity + Engulfment StrategyThis strategy identifies potential trading opportunities by combining bullish and bearish engulfing candle patterns with liquidity seal-off points. The logic is based on the concept of engulfing candles, which signal a shift in market sentiment, and liquidity lines, which represent local price extremes (highs and lows) that can indicate potential reversal or continuation points.
Key Features:
Mode Selection
The strategy allows for three modes: "Both", "Bullish Only", and "Bearish Only". Users can choose whether to trade both directions, only bullish setups, or only bearish setups.
Time Range
Users can define a specific time range for when the strategy is active, enabling tailored analysis and trade execution over a desired period.
Engulfing Candles
Bullish Engulfing: A candle that closes above the high of the previous bearish candle, signaling potential upward momentum.
Bearish Engulfing: A candle that closes below the low of the previous bullish candle, indicating a potential downtrend.
Liquidity Seal-Off Points
The strategy detects local highs and local lows within a specified lookback period, which can serve as critical support and resistance points.
A bullish signal is triggered when the price touches a lower liquidity point (local low), and a bearish signal is triggered at a higher liquidity point (local high).
Signal Confirmation
Signals are only triggered when both an engulfing candle and the price action at a liquidity seal-off point align. This helps filter out weaker signals.
Consecutive signals are prevented by locking the trade direction after an initial signal and waiting for the liquidity line to be broken before re-triggering a signal.
Entry and Exit Conditions
The strategy can enter both long (bullish) or short (bearish) positions based on the mode and signals.
Exit is based on opposing signals or reaching predefined stop-loss and take-profit levels.
Alerts
The strategy supports alert conditions to notify users when bullish engulfing after a lower liquidity touch or bearish engulfing after an upper liquidity touch is detected.
Liquidity Engulfing & Displacement [MsF]Japanese below / 日本語説明は英文の後にあります。
-------------------------
*This indicator is based on upslidedown's "Liquidity Engulfing Candles ". It's a very cool indicator. thank you.
It has 2 functions: show the Liquidity Engulfing on HTF and candle color change when displacement occurs.
=== Function description ===
1. Liquidity Engulfing on HTF
This indicator gives Liquidity Engulfing signals not only for the current candle, but also for H4 and H1 on HTF.
You can use that a bullish engulfing on H1 is a BOS on m5 and on H4 is a BOS on m15. It uses the theory of stop hunt from ICT.
Also, It's possible to fire alert.
2. Displacement
Change the color display of the candlesticks when a bullish candleStick or bearish candleStick is attached. Furthermore, by enabling the "Require FVG" option, you can easily discover the FVG (Fair Value Gap). It is a very useful function for ICT trading.
When H1 candle takes liquidity from one side and moves with an explosive move to the other side of the previous candle (displacement), it creates break of market structure on M5. Entry on discount FVG or OTE with stop loss at or below the stop hunt wick.
=== Parameter description ===
- Liquidity engulfing candles(LEC) SETTING
- Show H1 LEC … Whether to show LEC for H1
- Show H4 LEC … Whether to show LEC for H4
- Show Current LEC … Whether to show LEC for current timeframe
- Apply Stop Hunt Wick Filter … Require candle wick into prior candle retracement zone
- Apply Close Filter … Require LL/HH on candle in order to print a valid engulfing signal
- DISPLACEMENT SETTING
- Require FVG … Draw only when FVG occurs
- Displacement Type … Displacement from open to close? or from high to low?
- Displacement Length … Period over which to calculate the standard deviation
- Displacement Strength … The larger the number, the stronger the displacement detected
-------------------------
2つの機能があります: 上位足のLiquidity engulfing（流動性獲得）を表示することと、大きな変位が発生したときにローソク足の色を変更することです。
=== 機能説明 ===
1. 上位足のLiquidity engulfing
このインジケーターは、現在のローソク足だけでなく、上位足の H4 および H1 に対してもLiquidity engulfingシグナルを提供します。
H1はm5、H4はm15での使用を推奨します。これはICTのストップハント理論を活用しています。また、アラートを発することも可能です。
2. 変位（DISPLACEMENT）
大きな陽線、陰線を付けた場合に、そのローソク足をカラー表示を変更します。
さらに"Require FVG"オプションを有効にすることで、FVG（Fair Value Gap）を容易に発見することができます。ICTトレードにを行うにあたり大変有用な機能となっています。
=== パラメータの説明 ===
- Liquidity engulfing candles(LEC) SETTING
- Show H1 LEC … H1のLECを表示するかどうか
- Show H4 LEC … H4のLECを表示するかどうか
- Show Current LEC … 現在の期間の LEC を表示するかどうか
- Apply Stop Hunt Wick Filter … ハラミ足、もしくは包み足になっている場合のみに検知させる
- Apply Close Filter … １つ前のローソクよりも終値で超えていた場合のみに検知させる
- DISPLACEMENT SETTING
- Require FVG … FVG発生時のみ描画する
- Displacement Type … openからcloseまでの変位か？highからlowまでの変位か？
- Displacement Length … 標準偏差を計算する期間
- Displacement Strength … 変位の強さ（数字が大きいほど強い変位を検出）
Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix
Introduction
Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls.
The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps.
Core Functionality
Liquidity Maxing performs three primary functions:
Tracks market structure to identify when control shifts between buyers and sellers
Scores potential trades using an eight-factor confluence system
Manages position sizing and risk exposure dynamically based on volatility and user-defined limits
The goal is selective trading when multiple conditions align, rather than frequent entries.
Market Structure Engine
The structure engine tracks three key events:
Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend
Change of Character (CHoCH): Control flips from bullish to bearish or vice versa
Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction
The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity.
The trade engine requires valid structure alignment before considering entries. No structure, no trade.
Eight-Factor Confluence System
Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system:
Structure alignment with current trend
RSI within healthy bands (different ranges for up and down trends)
MACD momentum agreement with direction
Volume above adaptive baseline
Price relative to main trend EMA
Session and weekend filter (configurable)
Volatility expansion/contraction via ATR shifts
Higher-timeframe EMA confirmation
Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity.
Only when structure and confluence agree does the strategy proceed to risk evaluation.
Dynamic Risk Management
Risk controls are implemented in multiple layers:
ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1)
Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress
Daily and weekly risk budgets that halt new entries once thresholds are reached
Correlation cooldown to prevent clustered trades in the same direction
Global circuit breaker with maximum drawdown limit and emergency kill switch
If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency.
Market Presets
The strategy includes configuration presets optimized for different market types:
Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling
Forex Majors: RSI bands 75/25, volume multiplier 1.5
Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3
Custom: Default values for user customization
For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics.
Monitoring and Dashboards
The strategy includes optional monitoring layers:
Risk Operations Dashboard (top-right):
Trend state
Confluence score
ATR value
Current position size percentage
Global drawdown
Daily and weekly risk consumption
Correlation guard state
Alert mode status
Performance Console (top-left):
Net profit
Current equity
Win rate percentage
Average trade value
Sharpe-style ratio (rolling 50-bar window)
Profit factor
Open trade count
Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state.
All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning.
Alerts and Automation
The strategy supports alert integration with two formats:
Standard alerts: Human-readable messages for long, short, and risk-halt conditions
Webhook format: JSON-formatted payloads ready for external execution systems (optional)
Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines.
Built-in Validation Suite
The strategy includes an optional validation layer that can be enabled from inputs. It checks:
Internal consistency of structure and confluence metrics
Sanity and ordering of risk parameters
Position sizing compliance with user-defined floors and caps
This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting.
Strategy Parameters
Market Presets:
Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom
Market Structure Architecture:
Pivot Length: Default 5 bars
Filter by Inducement (IDM): Default enabled
Visualize Structure: Default enabled
Structure Lookback: Default 50 bars
Risk & Capital Preservation:
Risk:Reward Ratio: Default 2.0
ATR Period: Default 14
ATR Multiplier (Stop): Default 2.0
Max Drawdown Circuit Breaker: Default 10%
Risk per Trade (% Equity): Default 1.5%
Daily Risk Limit: Default 6%
Weekly Risk Limit: Default 12%
Min Position Size (% Equity): Default 0.25%
Max Position Size (% Equity): Default 5%
Correlation Cooldown (bars): Default 3
Emergency Kill Switch: Default disabled
Signal Confluence:
RSI Length: Default 14
Trend EMA: Default 200
HTF Confirmation TF: Default Daily
Allow Weekend Trading: Default enabled
Minimum Confluence Score (0-8): Default 6
Backtesting Considerations
When backtesting this strategy, consider the following:
Commission: Default 0.05% (adjustable in strategy settings)
Initial Capital: Default $100,000 (adjustable)
Position Sizing: Uses percentage of equity (default 2% per trade)
Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes
Results will vary significantly based on:
Market conditions and volatility regimes
Parameter settings, especially confluence threshold
Risk limit configuration
Symbol characteristics (crypto vs forex vs equities)
Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions.
How to Use This Strategy
This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution.
Recommended workflow:
Start on 4-hour timeframe with default parameters and appropriate market preset
Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency
Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades
Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance
Consider ATR multiplier adjustments based on market volatility characteristics
Only connect alerts or automation after thorough testing and parameter validation
Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals.
Strategy Limitations
Designed for swing trading timeframes; may not perform optimally on very short timeframes
Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments
Crypto markets require different parameter tuning than traditional markets
Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted
Correlation cooldown may delay entries that would otherwise be valid
Backtesting results depend on data quality and may not reflect live trading with slippage
Design Philosophy
Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask:
Who is in control of the market right now?
Is this move structurally significant or just noise?
Do I want to add more risk given what I've already done today/week?
If I'm wrong, exactly how painful can this be?
The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management.
Technical Implementation
The strategy uses Pine Script v6 with:
Custom types for structure, confluence, and risk state management
Functional programming approach for reusable calculations
State management through persistent variables
Optional visual elements that can be toggled independently
The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code.
Disclaimer
This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results.
No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy.
The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script.
This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital.
Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting.
The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions.
Enjoy - officialjackofalltrades
Liquidity Sniper V3 (ANTI-FAKEOUT)An advanced institutional trading indicator combining liquidity pool targeting, smart money concepts, and momentum-based entries with comprehensive risk management.
🎯 CORE FEATURES:
- Liquidity Sniper Module: Identifies and targets major liquidity pools (PDH/PDL, PWH/PWL, Equal Highs/Lows, HVN/LVN edges)
- Anti-Fakeout Stack: 10-layer confirmation system including VWAP reclaim, micro BOS, displacement, relative volume, and mitigation entries
- Momentum Engulf Add-On: Catches high-velocity impulsive moves with engulfing candles, volume spikes, and volatility breakouts
- GARCH Volatility Filter: Dynamic volatility analysis to avoid choppy conditions
- Multi-Timeframe Confirmation: Ensures alignment across timeframes before entries
📊 SIGNAL CLASSIFICATION:
- BEST (Green): Highest probability setups with all confirmations aligned - 6.0+ score
- BETTER (Medium Green): Strong setups with most confirmations - 4.5-6.0 score
- GOOD (Light Green): Valid setups with basic confirmations - 3.0-4.5 score
🔍 TRADE SCENARIOS:
S1: Liquidity Reversal - Sweeps + reversals at key levels with displacement
S2: Continuation - Trend following with VWAP mean reversion
S3: Mean Reversion - Extreme deviations (2σ+) with Fibonacci exhaustion
S4: Deep Sweep - 3σ sweeps at major liquidity with high confluence
⚡ MOMENTUM TRIGGERS:
- MET (Momentum Engulf): Bullish/bearish engulfing with 1.5x+ volume spike and ATR impulse
- VBT (Volatility Breakout): Range breakouts with sigma bursts and participation
🛡️ RISK MANAGEMENT:
- Dynamic TP/SL based on ATR, VWAP bands, and liquidity pools
- 3-tier targets (T1: VWAP, T2: Nearest pool, T3: 5R extension)
- Early invalidation tracking (0.5R movement monitoring)
- Minimum 2:1 RR requirement with cooldown periods
- RTH session filters and anti-spam protection
📈 TECHNICAL EDGE:
- SMT Divergence detection vs ES correlation
- CVD (Cumulative Volume Delta) divergence confirmation
- FVG (Fair Value Gap) and Order Block mitigation entries
- Equal highs/lows clustering analysis
- Volume profile HVN/LVN identification
⚙️ FULLY CUSTOMIZABLE:
All parameters adjustable including cooldowns, proximity thresholds, ATR multipliers, RR floors, and scenario weights.
Perfect for: ES/NQ futures, forex majors, and liquid stocks. Works on 1-15 min timeframes. Best results during NY session (9:35-11:00 AM & 1:30-3:30 PM ET).
Created for serious traders seeking institutional-grade edge with quantifiable risk/reward and high-probability setups
Liquidity Sweep ReversalOverview
The Liquidity Sweep Reversal indicator is a sophisticated intraday trading tool designed to identify high-probability reversal opportunities after liquidity sweeps occur at key market levels. Based on Smart Money Concepts (SMC) and Institutional Order Flow analysis, this indicator helps traders catch market reversals when stop-loss clusters are hunted.
Key Features
🎯 Multi-Level Liquidity Analysis
Previous Day High/Low (PDH/PDL) detection
Previous Week High/Low (PWH/PWL) tracking
Session highs/lows for Asian, London, and New York markets
Real-time level validation and usage tracking
⚡ Advanced Signal Generation
CISD (Change In State of Delivery) detection algorithm
Engulfing pattern recognition at key levels
Liquidity sweep confirmation system
Directional bias filtering to avoid false signals
⏰ Kill Zone Integration
Pre-configured optimal trading windows
Asian Kill Zone (20:00-00:00 EST)
London Kill Zone (02:00-05:00 EST)
New York AM/PM Kill Zones (08:30-11:00 & 13:30-16:00 EST)
Optional kill zone-only trading mode
🛠 Customization Options
Multiple timezone support (NY, London, Tokyo, Shanghai, UTC)
Flexible HTF (Higher Time Frame) selection
Adjustable signal sensitivity
Visual customization for all levels and signals
Hide historical signals option for cleaner charts
How It Works
The indicator continuously monitors price action around key liquidity levels
When price sweeps liquidity (stop-loss hunting), it marks potential reversal zones
Confirmation signals are generated through CISD or engulfing patterns
Trade signals appear as arrows with color-coded candles for easy identification
Best Suited For
Intraday traders focusing on 1m to 15m timeframes
Smart Money Concepts (SMC) practitioners
Scalpers looking for high-probability reversal entries
Traders who understand liquidity and market structure
Usage Tips
Works best on liquid forex pairs and major indices
Combine with volume analysis for stronger confirmation
Use proper risk management - not all signals will be winners
Monitor higher timeframe bias for better accuracy
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日内流动性掠夺反向开单指标
指标简介
这是一款基于Smart Money概念（SMC）开发的高级日内交易指标，专门用于识别市场在关键价格水平扫除流动性后的反转机会。通过分析机构订单流和流动性分布，帮助交易者精准捕捉止损扫单后的市场反转点。
核心功能
多维度流动性分析
前日高低点（PDH/PDL）自动标记
前周高低点（PWH/PWL）动态跟踪
亚洲、伦敦、纽约三大交易时段高低点识别
关键位使用状态实时监控，避免重复信号
智能信号系统
CISD（Change In State of Delivery）算法检测
关键位吞没形态识别
流动性扫除确认机制
方向过滤系统，大幅降低虚假信号
黄金交易时段
内置Kill Zone时间窗口
支持亚洲、伦敦、纽约AM/PM四个黄金时段
可选择仅在Kill Zone内交易
时区智能切换，全球交易者适用
个性化设置
支持多时区切换（纽约/伦敦/东京/上海/UTC）
HTF周期自动适配或手动选择
信号灵敏度可调
所有图表元素均可自定义样式
历史信号隐藏功能，保持图表整洁
适用人群
日内短线交易者（1分钟-15分钟）
SMC交易体系践行者
追求高胜率反转入场的投机者
理解流动性和市场结构的专业交易者
使用建议
推荐用于主流加密货币、外汇对和股指期货
配合成交量分析效果更佳
严格止损，理性对待每个信号
关注更高时间框架的趋势方向
风险提示： 任何技术指标都不能保证100%准确，请结合自己的交易系统和风险管理使用。
Liquidity-Weighted Business Cycle (Satoshi Global Base)🌍 BTC-Affinity Global Liquidity Business Cycle (MACD Model)
This indicator models Bitcoin’s macroeconomic business cycle using a BTC-weighted global liquidity index as its foundation. It adapts a MACD-based framework to visualize expansions and contractions in fiat liquidity across major economies with high Bitcoin affinity.
🔍 What It Does:
🧠 Constructs a Global M2 Liquidity Index from the top 10 most BTC-relevant fiat currencies
(USD, EUR, JPY, GBP, INR, CNY, KRW, BRL, CAD, AUD)
— each weighted by its Bitcoin adoption score and FX-converted into USD.
📊 Applies a MACD (Moving Average Convergence Divergence) signal to the index to detect macro liquidity trends.
🟢 Plots a histogram of business cycle momentum (red = expansion, green = contraction).
🔴 Marks potential cycle peaks, useful for macro trading alignment.
⚖️ BTC Affinity-Weighted Countries:
🇺🇸 United States
🇪🇺 Eurozone
🇯🇵 Japan
🇬🇧 United Kingdom
🇮🇳 India
🇨🇳 China
🇰🇷 South Korea
🇧🇷 Brazil
🇨🇦 Canada
🇦🇺 Australia
Weights are user-adjustable to reflect evolving capital controls, regulation, and real-world BTC adoption trends.
✅ Use Cases:
Confirm macro risk-on vs risk-off regimes for BTC and crypto.
Identify ideal entry and exit zones in macro pair trades (e.g., MSTR vs MSTY).
Monitor how global monetary expansion feeds into BTC valuations.
Liquidity + Internal Market Shift StrategyLiquidity + Internal Market Shift Strategy
This strategy combines liquidity zone analysis with the internal market structure, aiming to identify high-probability entry points. It uses key liquidity levels (local highs and lows) to track the price's interaction with significant market levels and then employs internal market shifts to trigger trades.
Key Features:
Internal Shift Logic: Instead of relying on traditional candlestick patterns like engulfing candles, this strategy utilizes internal market shifts. A bullish shift occurs when the price breaks previous bearish levels, and a bearish shift happens when the price breaks previous bullish levels, indicating a change in market direction.
Liquidity Zones: The strategy dynamically identifies key liquidity zones (local highs and lows) to detect potential reversal points and prevent trades in weak market conditions.
Mode Options: You can choose to run the strategy in "Both," "Bullish Only," or "Bearish Only" modes, allowing for flexibility based on market conditions.
Stop-Loss and Take-Profit: Customizable stop-loss and take-profit levels are integrated to manage risk and lock in profits.
Time Range Control: You can specify the time range for trading, ensuring the strategy only operates during the desired period.
This strategy is ideal for traders who want to combine liquidity analysis with internal structure shifts for precise market entries and exits.
This description clearly outlines the strategy's logic, the flexibility it provides, and how it works. You can adjust it further to match your personal trading style or preferences!
Liquidity IndicatorThe Liquidity Indicator helps identify key price levels where liquidity may be concentrated by highlighting local highs and local lows on the chart. These levels are calculated using a lookback period to determine the highest and lowest points in the recent price action.
Local Highs: Displayed as red lines, these indicate recent peaks where price has experienced rejection or a possible reversal point.
Local Lows: Displayed as green lines, these represent recent troughs where price may find support or experience a bounce.
This indicator is useful for spotting potential areas of interest for price reversal or continuation, as high liquidity zones may lead to more significant price movements.
Key Features:
Adjustable lookback period to define the scope for identifying local highs and lows.
Continuous plotting without any time restrictions, providing real-time insights into liquidity conditions.
Alerts available for when a local high or local low is detected, enabling timely market analysis.
Use Case:
This indicator can be used in conjunction with other technical analysis tools or strategies to help identify significant price levels where liquidity could impact price action. It is suitable for both intraday and swing traders looking for key price zones where potential reversals or continuations might occur.
