Trishul Tap Signals (v6) — Liquidity Sweep + Imbalanced RetestTrishul Tap Signals — Liquidity Sweep + Imbalanced Retest
Type: Signal-only indicator (non-repainting)
Style: Price-action + Liquidity + Trend-following
Best for: Intraday & Swing Trading — any liquid market (stocks, futures, crypto, FX)
Timeframes: Any (5m–1D recommended)
Concept
The Trishul Tap setup is a liquidity-driven retest play inspired by order-flow and Smart Money Concepts.
It identifies one-sided impulse candles that also sweep liquidity (grab stops above/below a recent swing), then waits for price to retest the origin of that candle to enter in the trend direction.
Think of it as the three points of a trident:
Trend filter — Only signals with the prevailing trend.
Liquidity sweep — Candle takes out a recent swing high/low (stop-hunt).
Imbalanced retest — Price taps the candle’s open/low (bull) or open/high (bear).
Bullish Setup
Trend Filter: Price above EMA(200).
Impulse Candle:
Green close.
Upper wick ≥ (wickRatio × lower wick).
Lower wick ≤ (oppWickMaxFrac × full range).
Liquidity Sweep: Candle’s high exceeds the highest high of the last sweepLookback bars (excluding current).
Tap Entry: Buy signal triggers when price later taps the candle’s low or open (user choice) within expireBars.
Bearish Setup
Trend Filter: Price below EMA(200).
Impulse Candle:
Red close.
Lower wick ≥ (wickRatio × upper wick).
Upper wick ≤ (oppWickMaxFrac × full range).
Liquidity Sweep: Candle’s low breaks the lowest low of the last sweepLookback bars (excluding current).
Tap Entry: Sell signal triggers when price later taps the candle’s high or open (user choice) within expireBars.
Inputs
Trend EMA Length: Default 200.
Sweep Lookback: Number of bars for liquidity sweep check (default 20).
Wick Ratio: Required size ratio of dominant wick to opposite wick (default 2.0).
Opposite Wick Max %: Opposite wick must be ≤ this fraction of the candle’s range (default 25%).
Tap Tolerance (ticks): How close price must come to the level to count as a tap.
Expire Bars: Max bars after setup to allow a valid tap.
One Signal per Level: If ON, a base is “consumed” after first signal.
Plot Tap Levels: Show horizontal lines for active bases.
Show Setup Labels: Mark the origin sweep candle.
Plots & Visuals
EMA Trend Line — trend filter reference.
Tap Levels —
Green = bullish base (origin candle’s low/open).
Red = bearish base (origin candle’s high/open).
Labels — Show where the setup candle formed.
Signals —
BUY: triangle-up below bar at bullish tap.
SELL: triangle-down above bar at bearish tap.
Alerts
Two built-in conditions:
BUY Signal (Trishul Tap) — triggers on bullish tap.
SELL Signal (Trishul Tap) — triggers on bearish tap.
Set via Alerts panel → Condition = this indicator → Choose signal type.
How to Trade It
Use in liquid markets with clean price structure.
Confirm with HTF structure, volume spikes, or other confluence if desired.
Place stop just beyond the tap level (or ATR-based).
Target 1–2R or trail behind structure.
Why It Works
Liquidity sweep traps traders entering late (breakout buyers or panic sellers) and forces them to exit in the opposite direction, fueling your entry.
Wick imbalance confirms directional aggression by one side.
Trend filter keeps you aligned with the market’s dominant flow.
Retest entry lets you enter at a better price with reduced risk.
Non-Repainting
Setups form only on confirmed bar closes.
Signals trigger only on later bars that tap the stored level.
No lookahead functions are used.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Test thoroughly in a simulator or demo before using in live markets. Trading involves risk.
"liquidity"に関するスクリプトを検索
SulLaLuna — HTF M2 x Ultimate BB (Fusion) 🌕 **SulLaLuna — HTF M2 x Ultimate BB (Fusion)** 🚀💵
**By SulLaLuna Trading**
(Portions of the Bollinger Band logic adapted with permission/credit from the *Ultimate Buy & Sell Indicator* by its original author — thank you for the brilliance!)
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🧭 **What This Is**
This is not just another price-following tool.
This is **a macro liquidity detector** — a **Daily Higher Timeframe Hull Moving Average of the Global M2 Money Supply**, smoothed via lower timeframe candles (default 5m, 48 Hull length), overlaid with **Ultimate-style double Bollinger Bands** to reveal *over-extension & mean reversion zones*.
It doesn’t chase candles.
It watches the tides beneath the market — the **money supply currents** that have a **direct correlation** to asset price behavior.
When liquidity expands → risk-on assets tend to rise.
When liquidity contracts → risk-off waves hit.
We ride those waves.
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🔍 **What It Does**
* **Tracks Global M2** across major economies, FX-adjusted, and scales it to your chart’s price.
* **HTF Hull MA** (Daily, smoothed via 5m base) → gives you the macro liquidity trend.
* **Ultimate BB logic** applied to the HTF M2 Hull → inner/outer bands for volatility envelopes.
* **Pivot Labels** → ideal entry/exit zones on macro turns.
* **Over-Extension Alerts** → when HTF M2 Hull pushes outside the outer bands.
* **Re-Entry Alerts** → mean reversion triggers when liquidity moves back inside the range.
* **Background Paint** from chart TF M2 slope → for confluence on your entry timeframe.
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📜 **Suggested How-To**
1. **Choose your execution chart** — e.g., 1–15m for scalps, 1H–4H for swings.
2. **Use the background paint** as your *local tide check* (chart TF M2 slope).
3. **Trade in the direction of the HTF M2 Hull** — green line = liquidity rising, red line = liquidity falling.
4. **Watch pivot labels** — these are potential “macro inflection” points.
5. **Confluence stack** — pair with ZLSMA, WaveTrend divergences, VWAP volume, or your favorite price-action setups.
6. **Size down** when HTF M2 Hull is flat/gray (chop zone).
7. **Scale in/out** on over-extension + re-entry alerts for higher probability swings.
---
⚠️ **Important Note**
This indicator **does not predict price** — it tracks macro liquidity flows that *influence* price.
Think of it as your market’s **tide chart**: when the water’s coming in, you can swim out; when it’s going out, you’d better be ready for the undertow.
---
📢 **Alerts Available**
* HTF Pivot HIGH / LOW
* Over-Extension (HTF Hull outside outer BB)
* Re-Entry (return from overbought/oversold)
---
🤝 **Join the SulLaLuna Tribe**
If this indicator helps you capture better entries, follow & share so more traders can learn to trade *math, not emotion*.
We rise together — **and we’ll meet you on the Moon** 🌕🚀💵.
Real-Time Swing High/Low Detector with liquidity sweepThis script identifies the most important market structure points (swing highs/lows) and liquidity sweeps in a configurable and timeframe-adaptive manner.
By default:
It shows 5 recent swing highs and lows to keep your charts readable.
It detects and illustrates up to 3 Liquidity Sweeps (very close new highs/lows to earlier extremes).
It automatically adjusts how tight the sweep detection is based on your chart’s timeframe to balance precision and noise.
You can tweak all these numbers via the input settings panel to customize the indicator to your personal trading style and chart preferences
Configurable Parameters
Pivot Length (pivot_length)
What it does: Determines how many bars to the left and right the script looks at when identifying swing highs and lows.
Effect: Increasing this value results in fewer, more significant swings; decreasing it makes the indicator more sensitive and detects more swings.
Default: 5
Suggested: Adjust based on your trading timeframe and style to balance sensitivity and noise.
Show Labels (show_labels)
What it does: Toggles the display of swing labels such as HH, HL, LH, LL on the chart.
Effect: If enabled, the script marks swing points with their corresponding label for easier visual reference.
Default: true
Use: Turn off if you prefer a cleaner chart without textual swing indicators.
Show Current Levels (show_current_levels)
What it does: Toggles horizontal lines extending from the latest swing highs and lows.
Effect: Provides visual support/resistance zones on the chart.
Default: true
Use: Helpful for visualizing major price levels based on recent swings.
Max Swing Points (max_swings)
What it does: Limits the number of swing points stored and displayed.
Effect: Prevents chart clutter and performance issues by controlling history length.
Default: 20
Use: Increase for longer history; decrease for lighter charts.
Liquidity Sweep Threshold (liq_sweep_threshold_pc)
What it does: Defines the maximum percentage price difference allowed to consider a new high/low "very close" to the previous one, detecting a Liquidity Sweep.
Effect: Controls how sensitively the script detects these sweep points.
Default: Automatically set based on chart timeframe:
For timeframes below 1 hour: 0.05% (stricter, less tolerant)
For 1 hour and above: 0.1% (more tolerant)
Use: This dynamic setting ensures relevance of Liquidity Sweeps across different timeframes.
Liquidity Sweep Label Transparency (liq_sweep_alpha)
What it does: Controls the opacity of "Liquidity Sweep" labels, with 0 being fully opaque and 255 fully transparent.
Default: 10 (mostly opaque but slightly transparent)
Use: You can increase this value if you want the labels to be more subtle.
M2 Liquidity Divergence ModelM2 Liquidity Divergence Model
The M2 Liquidity Divergence Model is a macro-aware visualization tool designed to compare shifts in global liquidity (M2) against the performance of a benchmark asset (default: Bitcoin). This script captures liquidity flows across major global economies and highlights whether price action is aligned ("Agreement") or diverging ("Divergence") from macro trends.
🔍 Core Features
M2 Global Liquidity Index (GLI):
Aggregates M2 money supply from major global economies, FX-adjusted, including extended contributors like India, Brazil, and South Africa. The slope of this composite is used to infer macro liquidity trends.
Lag Offset Control:
Allows the M2 signal to lead benchmark asset price by a configurable number of days (Lag Offset), useful for modeling the forward-looking nature of macro flows.
Gradient Macro Context (Background):
Displays a color-gradient background—aqua for expansionary liquidity, fuchsia for contraction—based on the slope and volatility of M2. This contextual backdrop helps users visually anchor price action within macro shifts.
Divergence Histogram (Optional):
Plots a histogram showing dynamic correlation or divergence between the liquidity index and the selected benchmark.
Agreement Mode: M2 and asset are moving together.
Divergence Mode: Highlights break in expected macro-asset alignment.
Adaptive Transparency Scaling:
Histogram and background gradients scale their visual intensity based on statistical deviation to emphasize stronger signals.
Toggle Options:
Show/hide the M2 Liquidity Index line.
Show/hide divergence histogram.
Enable/disable visual offset of M2 to benchmark.
🧠 Suggested Usage
Macro Positioning: Use the background context to align directional trades with macro liquidity flows.
Disagreement as Signal: Use divergence plots to identify when price moves against macro expectations—potential reversal or exhaustion zones.
Time-Based Alignment: Adjust Lag Offset to synchronize M2 signals with asset price behavior across different market conditions.
⚠️ Disclaimer
This indicator is designed for educational and analytical purposes only. It does not constitute financial advice or an investment recommendation. Always conduct your own research and consult a licensed financial advisor before making trading decisions.
BSL & SSL - Liquidity Zones
BSL & SSL - Liquidity Zones
Indicator Description (for TradingView)
Concept
The BSL & SSL - Liquidity Zones indicator is a simple yet powerful visual tool that helps traders identify key liquidity zones in the market by tracking prominent highs and lows on the chart.
It is based on the concept that the Highest High (Buy Side Liquidity - BSL) and Lowest Low (Sell Side Liquidity - SSL) represent zones where stop-loss orders and pending orders accumulate — often attracting future price movements.
Purpose
This indicator helps traders spot hidden liquidity levels which may act as targets or potential reversal points. It is especially useful for traders who apply Smart Money Concepts (SMC) or institutional trading models.
Great for detecting potential stop hunts and understanding market structure shifts.
How It Works
The indicator calculates the Highest High and Lowest Low over a user-defined period (default: 20 candles).
When a new Higher High forms, it marks a new BSL.
When a new Lower Low forms, it marks a new SSL.
These zones are likely to attract price in the future — either as targets or traps.
Visualization
The indicator draws static horizontal lines (Stepline style) at BSL and SSL levels.
These lines remain in place until broken or a new level is formed.
Visual Labels enhance clarity:
🟢 Green Label → BSL
🔴 Red Label → SSL
Trading Insights / Practical Use
When price approaches a BSL or SSL zone, ask yourself:
✅ Will price break the level to grab liquidity?
✅ Will there be a reversal after liquidity is taken?
The indicator does not provide signals by itself — it serves as a valuable confirmation tool when combined with:
Price Action
Support & Resistance
Momentum Indicators
SMC Tools
Key Benefits
✅ Easy to use
✅ Enhances liquidity analysis
✅ Highlights zones targeted by institutional players
✅ Simple calculation — no complex formulas
Limitations
🚫 Does NOT generate buy/sell signals
🚫 Should be used as part of a complete trading framework
Conclusion
BSL & SSL - Liquidity Zones is a versatile and intuitive tool for any trader looking to better understand where liquidity is positioned on the chart.
It works across all timeframes and complements any trading strategy, especially Smart Money-based approaches.
Candle Liquidity Algo [ValiantTrader]Explanation of the "Candle Liquidity Algo" Indicator
This indicator is designed to help traders identify potential trading opportunities by analyzing liquidity zones and divergences between price action and these zones on higher timeframes.
Key Components:
1. Timeframe Settings
The indicator allows you to select a custom timeframe (like 'D' for daily, '60' for 60 minutes, etc.)
It then displays the first candle of each new period on this higher timeframe directly on your chart
2. Liquidity Zones
Creates smoothed high and low levels (using a simple moving average) from the higher timeframe
These act as potential support/resistance zones where liquidity may be concentrated
3. Divergence Detection
Looks for divergences between price action and the liquidity zones:
Bullish Divergence: When price makes a lower low but the liquidity zone low is higher
Bearish Divergence: When price makes a higher high but the liquidity zone high is lower
4. Visual Elements
Plots the first candle of each new higher timeframe period on your chart (colored green for up, red for down)
Draws labels when divergences are detected (green "Bullish Div" below price for bullish divergences, red "Bearish Div" above for bearish)
Draws temporary lines marking the relevant price levels where divergences occur
5. Alerts
The indicator can trigger alerts when divergences are detected, which can be useful for traders who want notifications about potential trading setups
How to Use in Trading:
Identify the Higher Timeframe Structure: The indicator shows you how the higher timeframe is developing while you're looking at a lower timeframe chart.
Watch for Divergences: When you see:
Price making lower lows but liquidity zones making higher lows → potential bullish reversal
Price making higher highs but liquidity zones making lower highs → potential bearish reversal
Use Liquidity Zones as Targets/Stops: The smoothed high/low levels can act as potential take-profit areas or stop-loss levels.
Combine with Other Confirmation: Like any indicator, it's best used with other confirmation signals (price action patterns, volume analysis, etc.)
The indicator is particularly useful for traders looking to align their trades with higher timeframe structure while operating on lower timeframes for entry precision.
RunRox - Entry Model🎯 RunRox Entry Model is an all-in-one reversal-pattern indicator engineered to help traders accurately identify key price-reversal points on their charts. It will be part of our premium indicator package and improve the effectiveness of your trading strategies.
The primary concept of this indicator is liquidity analysis, making it ideal for Smart Money traders and for trading within market structure. At the same time, the indicator is universal and can be integrated into any strategy. Below, I will outline the full concept of the indicator and its settings so you can better understand how it works.
🧬 CONCEPT
In the screenshot below, I’ll schematically illustrate the core idea of this indicator. It’s one of the patterns that the indicator automatically detects on the chart using a two-timeframe approach. We use the higher timeframe to identify liquidity zones, and the lower timeframe to capture liquidity removal and structure breaks. The schematic is shown in the screenshot below.
Our indicator includes three entry models in total , and I will discuss its functionality and features in more detail later in this post.
💡 FEATURES
Three entry models
PO3 HTF Bar
Entry Area
Optimization for each Entry Area
Filters
HTF FVG
Alert customization
Next, we will examine each entry model in detail.
🟠 ENTRY MODEL 1
The first model is the core one we’ll work with; all other models rely on its structure and construction. In the screenshot below, I’ll schematically show the complete model.
As shown in the screenshot above, we display higher-timeframe candles on the current chart to better visualize the entry model and keep the trader informed of what’s happening on the larger timeframe. The screenshot also highlights both the Long and Short models, as well as the Entry Area, which I will explain in more detail below.
The schematic model on the lower timeframe is shown in the screenshot above. It illustrates that after the Entry Model forms, we draw the Entry Area on the next candle and wait for a price pullback into this zone for the optimal trade entry. Statistically, before moving higher, the price typically revisits the Entry Area, covering the imbalances created by MSS; thus, the Entry Area represents the ideal entry point.
🟩 Entry Area
Once the Entry Model has formed, we focus on identifying the optimal pullback zone for taking a position. To determine which retracement area performs best, we conducted extensive historical backtesting on potential zones and selected those that consistently delivered the strongest results. This process yields Entry Areas with the highest probability of a successful reversal.
On the screenshot above, you can see an example of the Entry Area and which zones carry a higher versus lower probability of reversal. Zones rendered with greater transparency have historically delivered weaker results than the more opaque zones. The deeper-colored areas represent the optimal entry zones and can improve your risk-reward ratio by allowing you to enter at more favorable prices.
It’s important to remember that the entire Entry Area functions as a potential zone for scaling into a position. However, if your risk-to-reward ratio isn’t favorable, you can wait for the price to retrace to lower levels within the Entry Area and enter with a more attractive risk-to-reward.
🟢 Pattern Rating
Each entry model receives a rating in the form of green circles next to its name 🟢. The rating ranges from one to four circles, based on the historical performance of similar patterns. To calculate this rating, we backtest past data by analyzing candle behavior during the model’s formation and assign circles according to how similar patterns performed historically.
Example Ratings:
🟢 – One circle
🟢🟢 – Two circles
🟢🟢🟢 – Three circles
🟢🟢🟢🟢 – Four circles
The more green circles a model has, the more reliable it is—but it’s crucial to rely on your own analysis when identifying strong reversal points on the chart. This rating reflects the model’s historical performance and does not guarantee future results, so keep that in mind!
Below is a screenshot showing four model variations with different ratings on the chart.
⚠️ Unconfirmed Pattern
Entry Model 1 is designed so that, until the higher-timeframe candle closes, the pattern remains unconfirmed and is hidden on the chart. For traders who prefer to see setups as they form, there’s a dedicated feature that displays the unconfirmed pattern at the moment of its appearance - triggered by the Market Structure Shift - before the HTF candle closes. The screenshot below shows what the pattern looks like prior to confirmation.
‼️IMPORTANT: Until the pattern is confirmed and the higher-timeframe candle has closed, the model may disappear from the chart if price reverses and the HTF candle closes below the previous bar. Therefore, this mode is suitable only for experienced traders who want to see market moves in advance. Remember that the pattern can be removed from the chart, so we recommend waiting for the HTF candle to close before deciding to enter a trade.‼️
✂️ Filters
For the primary model, there are four filters designed to enhance entry points or exclude less-confirmed patterns. The filters available in the indicator are:
Bounce Filter
Market Shift Mode
Same Wave Filter
Only with Divergence
I will explain how each of these filters works below.
- Bounce Filter
The Bounce Filter identifies significant deviations of price from its mean and only displays the Entry Model once the asset’s price moves beyond the average level. The screenshot below illustrates how this appears on the chart.
The actual average-price calculation is more sophisticated than what’s shown in the screenshot, that image is just an illustrative example. When the price deviates significantly from the N-bar average, we start looking for the Entry Model. This approach works particularly well in range-bound markets without a clear trend, as it lets you trade strong deviations from the mean.
- Market Shift Mode
This filter works by detecting the initial impulse that triggered the liquidity sweep on the previous higher-timeframe candle, and then holding the Market Structure Shift level at that point after the sweep. If the filter is turned off, price may move higher following the liquidity removal, creating a new MSS level and potentially producing a false structure shift and entry signal on the formed model.
This filter helps you more accurately identify genuine shifts - but keep in mind that the model can still perform well without it, so choose the setting that best suits your trading style.
- Same Wave Filter
The Same Wave Filter removes entry models that form without a clear lower-timeframe structure when liquidity is swept from the previous higher-timeframe candle. In other words, if the prior HTF candle and the current one belong to the same impulse wave - without any retracements on the LTF - the model is filtered out.
Keep in mind that this filter may also exclude patterns that could have produced positive results, so whether to enable it depends on your trading system.
- Only with Divergence
The Only with Divergence filter detects divergence between the lows of successive candles and indicators like RSI. When the low that swept liquidity diverges from the previous candle’s low, the indicator displays a “DIV” label. Although RSI is cited as an example, our divergence calculation is more advanced. This filter highlights patterns where low divergence signals genuine liquidity manipulation and a likely aggressive price reversal.
🌀 Model Settings
Trade Direction: Choose whether to display models for Long or Short trades.
Fractal: Select between automatic fractal detection—which adapts the lower-timeframe (LTF) and higher-timeframe (HTF) candles—or Custom.
Custom Fractal: When Custom is selected, manually specify the LTF and HTF timeframes used to detect the patterns.
History Pattern Limit: Set the maximum number of patterns to display on the chart to keep it clean and uncluttered.
🎨 Model Style
You can flexibly customize the model’s appearance by choosing your preferred line thickness, color, and the other settings we discussed above.
🔵 ENTRY MODEL 2
This model appears under specific conditions when Model 1 cannot form. It’s a price-reversal model constructed according to different rules than the first model. The screenshot below shows how it looks on the chart.
This model forms less frequently than Model 1 but delivers equally strong performance and is displayed as a position-entry zone.
Like the Entry Area in Entry Model 1, this zone is calculated automatically and highlights the best entry levels: areas that showed the strongest historical results are rendered in a brighter shade.
🎨 Model Style
You can flexibly customize the style of Entry Model 2 - its color, opacity, visibility, and the average price of the previous candle.
🟢 ENTRY MODEL 3
Entry Model 3 is a continuation pattern that only forms after Entry Model 1 has completed and delivered the necessary price move to trigger Model 3.
Below is a schematic illustration of how Model 3 is intended to work.
🎨 Model Style
As with the previous models, you can flexibly customize the style of this zone.
⬆️ HTF CANDLES
One of the standout features of this indicator is the ability to plot higher-timeframe (HTF) candles directly on your lower-timeframe (LTF) chart, giving you clear visualization of the entry models and insight into what’s unfolding on the larger timeframe.
You can fully customize the HTF candles - select their style, the number of bars displayed, and tweak various settings to match your personal trading style.
HTF FVG
Fair Value Gaps (FVGs) can also be drawn on the HTF candles themselves, enabling you to spot key liquidity or interest zones at a glance, without switching between timeframes.
Additionally, you can view all significant historical HTF highs and lows, with demarcation lines showing where each HTF candle begins and ends.
All these options let you tailor the HTF candle display on your chart and monitor multiple timeframes’ trends in a single view.
📶 INFO PANEL
Instrument: the market symbol on which the model is detected
Fractal Timeframes: the LTF and HTF fractal periods used to locate the pattern
HTF Candle Countdown: the time remaining until the higher-timeframe candle closes
Trade Direction: the direction (Long or Short) in which the model is searched for entry
🔔 ALERT CUSTOMIZATION
And, of course, you can configure any alerts you need. There are seven alert types available:
Confirmed Entry Model 1
Unconfirmed Entry Model 1
Confirmed Entry Model 2
Confirmed Entry Model 3
Entry Area 1 Trigger
Entry Area 2 Trigger
Entry Area 3 Trigger
You also get a custom macro field where you can enter any placeholders to fully personalize your alerts. Below are example macros you can use in that field.
{{event}} - Event name ('New M1')
{{direction}} - Trade direction ('Long', 'Short')
{{area_beg}} - Entry Area Price
{{area_end}} - Entry Area Price
{{exchange}} - Exchange ('Binance')
{{ticker}} - Ticker ('BTCUSD')
{{interval}} - Timeframe ('1s', '1', 'D')
{{htf}} - High timeframe ('15', '60', 'D')
{{open}}-{{close}}-{{high}}-{{low}} - Candle price values
{{htf_open}}-{{htf_close}}-{{htf_high}}-{{htf_low}} - Last confirmed HTF candle's price
{{volume}} - Candle volume
{{time}} - Candle open time in UTC timezone
{{timenow}} - Signal time in UTC timezone
{{syminfo.currency}} - 'USD' for BTCUSD pair
{{syminfo.basecurrency}} - 'BTC' for BTCUSD pair
✅ USAGE EXAMPLES
Now I’ll demonstrate several ways to apply this indicator across different trading strategies.
Primarily, it’s most effective within the Smart Money framework - where liquidity and manipulation are the core focus - so it integrates seamlessly into your SMC-based approach.
However, it can also be employed in other strategies, such as classic technical analysis or Elliott Wave, to capitalize on reversal points on the chart.
Example 1
The first example illustrates forming a downtrend using a Smart Money strategy. After the market structure shifts and the first BOS is broken, we begin looking for a short entry.
Once Entry Model 1 is established, a Fair Value Gap appears, which we use as our position-entry zone. The nearest target becomes the newly formed BOS level.
In this trade, it was crucial to wait for a strong downtrend to develop before hunting for entries. Therefore, we waited for the first BOS to break and entered the trade to ride the continuation of the downtrend down to the next BOS level.
Example 2
The next example illustrates a downtrend developing with a Fair Value Gap on the 1-hour timeframe. The FVG is also displayed directly on the HTF candles in the chart.
The pattern forms within the HTF Fair Value Gap, indicating that we can balance this inefficiency and ride the continuation of the downtrend.
The target can simply be a 1:2 or 1:3 risk–reward ratio, as in our case.
📌 CONCLUSION
These two examples illustrate how this indicator can be used to identify reversals or trend continuations. In truth, there are countless ways to incorporate this tool, and each trader can adapt the model to fit their own strategy.
Always remember to rely on your own analysis and only enter trades when you feel confident in them.
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + Order Blocks + Fibonacci OTE Levels
A High-Probability Entry Engine for Smart Money Concept Traders
This script combines three powerful Smart Money Concepts (SMC) into a single tool: Liquidity Grabs, Order Block Zones, and Fibonacci OTE Levels, allowing traders to identify institutional entry models with clean, rule-based visual signals.
It’s designed to simplify SMC trading by highlighting confluence zones where price is likely to reverse or continue — with clear visual zones, entry arrows, and take profit projections.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies when price sweeps above/below the highest high or lowest low within a user-defined lookback period and closes back inside.
Plots orange labels on the chart to signal potential liquidity events (LG-H / LG-L).
Plots Order Blocks After Liquidity Grabs
After a liquidity grab, the script looks for displacement candles (strong bullish or bearish moves) and draws highlighted OB zones extending several bars to the right.
These zones represent potential institutional footprints for price reversals.
Draws Fibonacci OTE Levels (Optimal Trade Entry)
Uses recent swing high and low pivots to automatically calculate OTE zones (default: 62% and 75% retracement levels).
Draws these retracement zones for both bullish and bearish setups.
Marks Valid OTE Entry Zones
Buy/Sell zones only trigger when:
A liquidity grab occurs,
Price enters the OTE zone,
And a strong confirming candle is present.
Plots green/red arrows for valid buy/sell OTE entries.
Auto-Draws Take Profit Zones
TP1 = Previous swing high/low
TP2 = Risk-based R-multiplied extension (e.g., 1.5R — customizable)
Alerts
Triggers alerts when valid buy or sell OTE setups are detected.
⚙️ Customization Features:
Toggle each feature: Liquidity Grabs, Order Blocks, Fibonacci OTE levels
Set Fibonacci retracement percentages (e.g., 0.62 / 0.75)
Adjust lookback window for liquidity detection
Customize the take-profit multiplier (R-based)
Full control over visuals: colors, labels, and lines
💡 How to Use:
Use this script to scan for high-confluence trade setups based on Smart Money principles.
Combine with session timing (e.g., New York open), major swing structure, or Kill Zone windows for maximum edge.
Look for arrows inside OB zones or OTE levels following liquidity sweeps for cleaner entries.
🔗 Works Best With:
✅ First FVG — Opening Range Fair Value Gap Detector: Identify early inefficiencies to set the narrative for the day.
✅ Liquidity Levels — Smart Swing Lows: Spot key structural lows that can fuel stop hunts and reversals.
✅ ICT Turtle Soup — Liquidity Reversal: Add a classic reversal pattern to your toolkit to catch fakeouts cleanly.
Together, these tools build a complete Smart Money ecosystem for entry precision, risk management, and price behavior forecasting.
ICT Turtle Soup (Liquidity Reversal)ICT Turtle Soup — Liquidity Reversal Detection
Trap the Trap: A Precision Reversal Strategy from the Inner Circle Trader Playbook
This indicator implements the Turtle Soup liquidity reversal setup — a widely used ICT (Inner Circle Trader) concept that targets false breakouts beyond recent swing highs or lows. These patterns typically occur when price grabs liquidity above or below a known level, then snaps back, trapping retail traders and creating a high-probability reversal scenario.
🔍 What This Script Does:
Detects Liquidity Sweeps Above/Below Key Swing Levels
Uses a customizable swing lookback to identify recent swing highs and lows.
Triggers a Bearish Turtle Soup when price runs above a previous swing high and closes back below.
Triggers a Bullish Turtle Soup when price sweeps below a prior swing low and closes back above.
Plots Clear Visual Signals
Reversal signals appear as 🐢🔻 (Bearish) or 🐢🔺 (Bullish) markers directly on your chart.
Optional labels can be enabled for enhanced journaling and review.
Real-Time Alerts
Receive alert notifications when a Turtle Soup setup is detected — ideal for scalpers or intraday traders watching for reversals around liquidity pools.
⚙️ Customization Options:
Set the swing lookback sensitivity (default: 5)
Enable or disable labels
Choose label font size
Customize colors for bullish and bearish signals
💡 How to Use:
Deploy on intraday timeframes (e.g. 5m–15m) for high-resolution liquidity analysis.
Watch for signals at key highs/lows, session extremes, or zones where liquidity is likely resting.
Combine with tools like FVGs, Order Blocks, and OTE zones for layered confirmation.
🔗 Combine With These Tools for a Complete SMC Edge:
✅ First FVG — Opening Range Fair Value Gap Detector
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
✅ Liquidity Levels — Smart Swing Lows
Together, these tools form a high-precision Smart Money toolkit — helping traders map, anticipate, and act on institutional-level liquidity events with clarity and confidence.
ICT Turtle Soup (Liquidity Reversal)ICT Turtle Soup — Liquidity Reversal Detection
Classic Liquidity Trap Reversal Strategy for Smart Money Traders
This indicator implements the ICT Turtle Soup concept — a classic liquidity-based reversal pattern — which occurs when price runs above or below a recent swing level to grab liquidity, then sharply reverses. This pattern is commonly used in Smart Money Concepts (SMC) and Inner Circle Trader (ICT) strategies to anticipate false breakouts and high-probability reversals.
🔍 What This Script Does:
Identifies Swing Highs & Lows
Detects recent swing highs and lows using a customizable lookback period.
Tracks Liquidity Grabs
A bearish Turtle Soup setup is triggered when price breaks above a recent swing high but closes back below it.
A bullish Turtle Soup setup is triggered when price breaks below a recent swing low but closes back above it.
These conditions often signal liquidity traps, where price sweeps resting orders before reversing.
Plots Signals Directly on the Chart
Turtle Soup setups are marked with 🐢🔻 (bearish) and 🐢🔺 (bullish) labels.
Optional full-text labels can also be displayed for clarity and journaling.
Includes Alert Conditions
Alerts can be enabled to notify you of bullish or bearish Turtle Soup reversals in real-time.
⚙️ Customization Features:
Adjustable swing lookback period
Enable/disable Turtle Soup labels
Set label font size
Choose your preferred bullish/bearish signal colors
💡 How to Use:
Add this script to your chart (ideally on intraday timeframes such as 5m–15m).
Wait for a Turtle Soup signal near a key swing high/low or liquidity zone.
Combine with other confirmation tools (e.g., FVGs, Order Blocks, OTE) for stronger setups.
Use alerts to stay ahead of fast-moving reversals.
🧠 Why It Works:
Turtle Soup setups are rooted in liquidity theory — they exploit the market’s tendency to sweep obvious swing levels before reversing. These moves often trap retail traders and mark the beginning of Smart Money entries.
🔗 Best Used With:
Maximize the edge by combining this with other SMC tools:
✅ First FVG — Opening Range Fair Value Gap Detector
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
✅ Liquidity Levels — Smart Swing Lows
Together, they create a complete ecosystem for identifying, confirming, and executing liquidity-driven trade setups with precision.
Global M2 Liquidity [TheAlchimist]🌍 Global M2 Liquidity – Navigating the Quantum Field of Markets 🌍
Category: Macroeconomic Indicators 📊
"In quantum physics, the observer effect states that the mere act of observation changes the system being observed. Similarly, in financial markets, global liquidity acts as a quantum field that permeates all market states simultaneously. Just as Heisenberg’s uncertainty principle suggests we cannot precisely measure both position and momentum, the M2 money supply’s influence on market dynamics creates a complex web of cause and effect across multiple timeframes."
📈 Overview
The Global M2 Liquidity indicator is a powerful tool that tracks the combined M2 money supply from five major economies (US, EU, China, Japan, UK), converted to USD 💵, offering a panoramic view of global liquidity conditions. With multi-timeframe analysis and a customizable forward-shift feature, it empowers traders to anticipate market movements driven by liquidity trends.
✨ Features
- Global Coverage 🌎: Monitors M2 money supply from 5 major economic regions (US, EU, China, Japan, UK).
- Real-Time Conversion 💱: Converts all data to USD for consistent analysis.
- Multi-Timeframe Analysis ⏰: Tracks liquidity from 15-minute to weekly charts.
- Forward-Shift Capability 🔮: Aligns M2 data with future price action for predictive insights.
- Color-Coded Trends 🎨: Visualizes liquidity trends (🟢 Expansion, 🔴 Contraction).
🚀 How to Use
1. Main Line 📉: Displays total global M2 liquidity in trillions of USD.
2. Golden Moving Average ⭐: Identifies the overall trend direction.
3. Trend Colors 🟢🔴:
- Green: Liquidity expanding above the moving average (bullish for risk assets).
- Red: Liquidity contracting below the moving average (bearish signal).
4. Forward Shift ⏩: Use the shift parameter to align M2 data with price action for predictive analysis.
5. Combine with Price Action 🔍: Correlate liquidity trends with assets like Bitcoin, stocks, or forex for strategic entries/exits.
⚙️ Settings
- MA Period 📏: Length of the moving average (default: 50).
- Shift ⏳: Number of days to shift data forward (default: 60).
🏷️ Tags
#Trading #Macroeconomic #M2Liquidity #GlobalLiquidity #MoneySupply #MultiTimeframe #TrendAnalysis #PredictiveAnalysis #Forex #Stocks #Crypto #Bitcoin #RiskAssets #CentralBanks #USD #TheAlchimist #QuantumTrading #AlgoTrading #DayTrading #SwingTrading
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
Smart Money Concepts Trading Assistant
This script is built for traders who follow ICT (Inner Circle Trader) and Smart Money Concepts. It intelligently combines three critical components of SMC trading: Liquidity Grabs, Order Blocks, and Fibonacci-based Optimal Trade Entry (OTE) zones — giving traders visual cues for potential high-probability reversals and entry points.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies swing highs/lows where price sweeps liquidity, then immediately reverses.
Labels them with orange markers when price takes out previous highs/lows but closes back inside.
Draws Order Blocks
After a liquidity grab, the script looks for strong bullish or bearish candles and automatically highlights the OB zone.
These OB zones are visualized with transparent colored boxes extending several bars forward.
Plots Fibonacci OTE Levels
Uses recent swing high/low pivots to dynamically draw customizable OTE retracement levels (e.g., 62% and 75%) for both long and short setups.
Highlights Optimal Entry Zones
Marks valid OTE-based buy/sell opportunities only when:
Liquidity has been taken,
Price enters the OTE zone,
And a strong confirming candle appears.
Adds visual zones, trade labels, and optional alerts for each qualified entry.
Includes Take Profit Targets
Automatically calculates take-profit levels based on previous structure and risk-reward ratios.
TP1 is the previous swing, and TP2 is an extended R-multiple (customizable by user).
⚙️ Customization Options:
Toggle each feature (Liquidity Grabs, OBs, Fibonacci Levels)
Adjust Fibonacci levels (default: 62% and 75%)
Set lookback period for liquidity checks
Customize the R-multiple for TP2 levels
💡 How to Use:
Enable desired features from the input panel.
Watch for Buy/Sell OTE zones highlighted in green/red.
Confirm with liquidity sweep and OB support for stronger signals.
Use the automatically generated TP levels to manage risk.
🚀 What Makes It Unique:
Unlike other open-source mashups, this script synchronizes multiple SMC concepts into a single tool that:
Waits for high-confidence conditions (not just blind fib or OB detection)
Validates entries using multiple confluences
Visually marks actionable setups
Automates trade management zones
Whether you're trend-trading, scalping, or swing trading ICT-style, this tool offers a streamlined, smart-money-aligned workflow directly on your chart.
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
Smart Money Concepts Trading Assistant
This script is built for traders who follow ICT (Inner Circle Trader) and Smart Money Concepts. It intelligently combines three critical components of SMC trading: Liquidity Grabs, Order Blocks, and Fibonacci-based Optimal Trade Entry (OTE) zones — giving traders visual cues for potential high-probability reversals and entry points.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies swing highs/lows where price sweeps liquidity, then immediately reverses.
Labels them with orange markers when price takes out previous highs/lows but closes back inside.
Draws Order Blocks
After a liquidity grab, the script looks for strong bullish or bearish candles and automatically highlights the OB zone.
These OB zones are visualized with transparent colored boxes extending several bars forward.
Plots Fibonacci OTE Levels
Uses recent swing high/low pivots to dynamically draw customizable OTE retracement levels (e.g., 62% and 75%) for both long and short setups.
Highlights Optimal Entry Zones
Marks valid OTE-based buy/sell opportunities only when:
Liquidity has been taken,
Price enters the OTE zone,
And a strong confirming candle appears.
Adds visual zones, trade labels, and optional alerts for each qualified entry.
Includes Take Profit Targets
Automatically calculates take-profit levels based on previous structure and risk-reward ratios.
TP1 is the previous swing, and TP2 is an extended R-multiple (customizable by user).
⚙️ Customization Options:
Toggle each feature (Liquidity Grabs, OBs, Fibonacci Levels)
Adjust Fibonacci levels (default: 62% and 75%)
Set lookback period for liquidity checks
Customize the R-multiple for TP2 levels
💡 How to Use:
Enable desired features from the input panel.
Watch for Buy/Sell OTE zones highlighted in green/red.
Confirm with liquidity sweep and OB support for stronger signals.
Use the automatically generated TP levels to manage risk.
🚀 What Makes It Unique:
Unlike other open-source mashups, this script synchronizes multiple SMC concepts into a single tool that:
Waits for high-confidence conditions (not just blind fib or OB detection)
Validates entries using multiple confluences
Visually marks actionable setups
Automates trade management zones
Whether you're trend-trading, scalping, or swing trading ICT-style, this tool offers a streamlined, smart-money-aligned workflow directly on your chart.
M2 Global Liquidity Index - 10 Week Lead
M2 Global Liquidity Index - Forward Projection (10 Weeks)
This indicator provides a 10-week forward projection of the M2 Global Liquidity Index, offering traders insight into potential future market conditions based on global money supply trends.
What This Indicator Shows
The M2 Global Liquidity Index aggregates M2 money stock data from five major economies:
- China (CNY)
- United States (USD)
- European Union (EUR)
- Japan (JPY)
- Great Britain (GBP)
All values are converted to USD and presented as a unified global liquidity metric, providing a comprehensive view of worldwide monetary conditions.
Forward Projection Feature
This adaptation displays the indicator 10 weeks ahead of the current price, allowing you to visualize potential future liquidity conditions that might influence market behavior. The projection maintains data integrity while providing an advanced view of the liquidity landscape.
Trading Applications
- Anticipate potential market reactions to changing global liquidity conditions
- Identify divergences between projected liquidity and current price action
- Develop longer-term strategic positions based on forward liquidity projections
- Enhance your macro-economic analysis toolkit
Credit
This indicator is an adaptation of the original "M2 Global Liquidity Index" created by Mik3Christ3ns3n. Full credit for the original concept and implementation goes to the original author. This version simply adds a 10-week forward projection to the existing calculations.
Disclaimer
This indicator is for informational purposes only and should be used as one of many tools in your analysis. Past performance and projections are not guarantees of future results.
1H/3m Concept [RunRox]🕘 1H/3m Concept is a versatile trading methodology based on liquidity sweeps from fractal points identified on higher timeframes, followed by price reversals at these key moments.
Below, I will explain this concept in detail and provide clear examples demonstrating its practical application.
⁉️ WHAT IS A FRACTALS?
In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides.
Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart.
📌 ABOUT THE CONCEPT
The 1H/3m Concept involves marking Higher Timeframe (HTF) fractals directly onto a Lower Timeframe (LTF) chart. When a liquidity sweep occurs at an HTF fractal level, we remain on the same LTF chart (since all HTF fractals are already plotted on this lower timeframe) and wait for a clear Market Structure Shift (MSS) to identify our potential entry point.
Below is a schematic illustration clearly demonstrating how this concept works in practice.
Below is another 💡 real-chart example , showing liquidity in the form of a 1H fractal, swept by a rapid impulse move. Immediately afterward, a clear Market Structure Shift (MSS) occurs, signaling a potential entry point into the trade.
Another example is shown below, where we see our hourly fractal, from which price clearly reacts, providing an opportunity to search for an entry point.
As illustrated on the chart, the fractal levels from the higher timeframe are clearly displayed, but we’re working directly on the 5-minute chart. This allows us to remain on one timeframe without needing to switch back and forth between charts to spot such trading setups.
🔍 MTF FRACTALS
This concept can be applied across various HTF-LTF timeframe combinations. Although our examples illustrate 1H fractals used on a 5-minute chart, you can effectively utilize many other timeframe combinations, such as:
30m HTF fractals on 1m chart
1H HTF fractals on 3m chart
4H HTF fractals on 15m chart
1D HTF fractals on 1H chart
The key idea behind this concept is always the same: identify liquidity at fractal levels on the higher timeframe (HTF), then wait for a clear Market Structure Shift (MSS) on the lower timeframe (LTF) to enter trades.
⚙️ SETTINGS
🔷 Trade Direction – Select the preferred trading direction (Long, Short, or Both).
🔷 HTF – Choose the higher timeframe from which fractals will be displayed on the current chart.
🔷 HTF Period – Number of candles required on both sides of a fractal candle (before and after) to confirm fractal formation on the HTF.
🔷 Current TF Period – Sensitivity to the impulse that sweeps liquidity, used for identifying and forming the MSS line.
🔷 Show HTF – Enable or disable displaying HTF fractal lines on your chart. You can also customize line style and color.
🔷 Max Age (Bars) – Number of recent bars within which fractals from the selected HTF will be displayed.
🔷 Show Entry – Enable or disable displaying the MSS line on the chart.
🔷 Enable Alert – Activates TradingView alerts whenever the MSS line is crossed.
You can also enable 🔔 alerts, which notify you whenever price crosses the MSS line. This significantly simplifies the process of identifying these setups on your charts. Simply configure your preferred timeframes and wait for notifications when the MSS line is crossed.
🔶 We greatly appreciate your feedback and suggestions for improving the indicator!
Quantum Liquidity Fractal Dynamics (QLFD) v2.1The Quantum Liquidity Fractal Dynamics (QLFD) v2.1 is an advanced multi-dimensional market analysis too l engineered for professional traders seeking to identify high-probability liquidity-driven reversals. Built upon a proprietary Fractal-Liquidity Convergence Model (FLCM), QLFD v2.1 leverages quantum-phase liquidity oscillations and institutional absorption mapping to dynamically assess order flow efficiency within multi-timeframe market structures.
Core Algorithmic Methodology
QLFD v2.1 integrates a Hybridized Recursive Liquidity Matrix (HRLM) with High-Frequency Adaptive EMA Displacement (HFAED) to model non-linear liquidity density clusters. This proprietary framework is further reinforced by a Multi-Layered RSI Vorticity Filter (MLRVF), enhancing the signal integrity by filtering out stochastic noise anomalies.
The EMA-200 Rejection Dynamics, combined with the Vortex RSI Momentum Refraction Index (VRMRI), allow the system to isolate institutional footprint imbalances. By capturing transient liquidity voids and microstructure inefficiencies, QLFD v2.1 enables traders to position themselves ahead of high-probability liquidity sweeps.
Signal Efficiency & Institutional Calibration
While QLFD v2.1 exhibits an exceptionally high accuracy rate in identifying potential reversal vectors, it is imperative for traders to exercise institutional-grade signal filtration. The indicator autonomously detects Phase-Induced False Signal Clusters (PIFSCs), yet discretion remains paramount in avoiding transient liquidity mirages—a common occurrence in markets exhibiting hyper-fractalized liquidity dislocations.
For optimal performance, professional traders must apply a Multi-Stage Confirmation Protocol (MSCP), leveraging additional confluence layers such as:
Order Flow Delta Cohesion (OFDC)
Gamma-Weighted Imbalance Deviation (GWID)
Synthetic Volume Shockwave Ratio (SVSR)
These advanced methodologies ensure that traders engage only with high-probability fractal reversals, filtering out structurally unreliable signals induced by inter-market arbitrage distortions.
Final Thoughts
QLFD v2.1 is not designed for retail-grade signal chasing. It is an institutional-grade analytical framework tailored for professionals who understand the fractal complexity of modern liquidity landscapes. Mastering the art of discretionary filtration—by distinguishing true liquidity-driven reversals from algorithmically-induced decoy impulses—is the key to leveraging this system’s full potential.
Killzones & Previous High-Low Liquidity [odnac]This indicator is designed for use in intraday trading to visualize key "Killzones" (specific time windows during different global market sessions) and highlight liquidity levels based on previous highs and lows from the previous day and week.
It helps traders identify potential market entry and exit points based on time-based trading zones and price action levels.
Key Features:
Killzone (Market Session Timeframes):
Asia (2000-0000 UTC): Displays a shaded box over the Asia trading session.
Europe (0200-0500 UTC): Highlights the European trading session.
New York AM (0830-1100 UTC): Represents the morning session of the NY market.
New York PM (1330-1600 UTC): Represents the afternoon session of the NY market.
Each of these timeframes can be customized in terms of session start and end times, and the shaded areas will help identify high liquidity periods when the market tends to be more active.
Previous High-Low Liquidity Zones:
Previous Week's High/Low: Displays lines at the high and low of the previous week.
These are important liquidity levels that can influence price action.
Previous Day's High/Low: Shows the high and low from the previous trading day.
These are also significant levels to watch for potential support and resistance.
Filters and Customization:
Position Filtering: The indicator allows users to filter out previous highs or lows if the current price doesn't align with those levels.
For example, it can filter out previous week highs if the current price is lower than that level.
Vertical Lines: Optional vertical lines to highlight key time points such as the start and end of the previous week and day.
How It Works:
The indicator visually draws "killzones" as shaded regions on the chart, indicating periods of increased market activity.
This can help traders align their strategies with the most liquid periods of the day.
The previous high and low lines (both for the previous week and the previous day) are drawn as solid lines and can be toggled on/off in the settings.
Labels are added to indicate the specific levels and periods.
The indicator provides clear visual cues, helping traders assess if the price is near important liquidity levels and whether the current market conditions align with those levels.
Customizable Settings:
You can control whether each Killzone and liquidity level is shown on the chart.
Color customization for the various zones and lines is also available.
The indicator also lets you decide whether to hide weekend data, set time-frame limits, and choose whether or not to show vertical lines at the beginning and end of each trading session.
This indicator is aimed at traders who want to trade based on high-liquidity periods and understand where key support and resistance levels are likely to emerge based on previous price action.
True Liquidity BlocksSo basically I've been deep diving into liquidity trading concepts similar to ICT (Inner Circle Trader) and developed an indicator that breaks down market movement through a volume-centric lens.
Key Concept:
Markets move not just by price, but by resolving trapped positions
Volume segments, not time intervals, show true market dynamics
VWAP (Volume Weighted Average Price) becomes a key structural reference
What Makes This Different:
Tracks volume segments instead of fixed time frames
Identifies "trapped" trader positions
Measures liquidity level efficiency
Color-codes bars based on nearest liquidity zone
Indicator Features:
Cyan/Red liquidity levels showing buy/sell pressure
Efficiency tracking for each level
Dynamic volume-based segmentation
Bar coloring to show nearest liquidity zone
Theoretical Inspiration: Viewed markets as energy systems where:
Positions create potential energy
Price movement resolves this energy
Trends form through systematic position liquidation
VWAP Recalculation in Each Segment:
Segment Start:
VWAP resets when volume threshold User Inputtable (600,000) is reached
Uses the last 4 price values (High, Low, Close, Close) for calculation
Weighted by volume traded during that segment
Calculation Method:
pineCopy = ta.vwap(hlcc4, na(segment_start) ? true : na, 1)
hlcc4: Combines high, low, close prices
na(segment_start): Ensures reset at new segment
Weighted by volume, not equal time intervals
Key Points:
Dynamic recalculation each segment
Reflects most recent trading activity
Provides real-time fair price reference
Tracks positioning
Essentially, VWAP resets and recalculates with each new volume segment, creating a rolling, volume-weighted average price that maps trader positioning.
BSL (Buy Side Liquidity) and SSL (Sell Side Liquidity) Explained:
When a volume segment closes relative to VWAP, it creates natural positioning traps:
BSL (Cyan) - Created when price closes BELOW THAT SEGMENT'S VWAP:
Bulls are positioned BELOW VWAP (trapped)
Shorts are positioned ABOVE VWAP (In Profit)
SSL (Red) - Created when price closes ABOVE THAT SEGMENT"S VWAP:
Bulls are positioned ABOVE VWAP (trapped)
Shorts are positioned BELOW VWAP (trapped)
Core Mechanism:
VWAP acts as a reference point for trader positioning
Trapped positions create inherent market tension
Levels expand to show accumulating pressure
Color-coded for quick identification of potential move direction
The goal: Visualize where traders are likely "stuck" and must eventually resolve their positions or liquidate other's, driving market movement.
It was just a fun experiment but If ya'll have any thoughts on it or what I could do to improve it, I would appreciate it.
Just a little note, It's optimized for futures, but if u uncheck the "Rest at Futures Open ?" setting, it allow full reign of any asset with volume data.
ICTProTools | ICT Insight - Market Environment🚀 INTRODUCTION
The Market Environment Indicator provides traders with an essential contextual framework for analyzing price movements. Built on the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC), this tool offers a structured view of how institutional players drive markets through liquidity manipulation and price level interactions. By defining the market environment, the indicator helps traders focus on the most relevant price zones, reducing distractions and enhancing decision-making.
At its core, the Interbank Dealing Range (IBDR) creates a clear structure of protected highs/lows and Premium/Discount zones , highlighting key areas for potential price reactions. This framework gives traders a lens to interpret market behavior and concentrate on meaningful liquidity zones and price action. The indicator helps traders navigate the market with precision, spotting significant opportunities while filtering out market noise. Indeed, the IBDR isn't always easily identifiable, and not every move will form a distinct dealing range.
This indicator goes beyond mere price levels… It reveals the larger market context in which prices evolve. By mastering this environment, traders can align their strategies with institutional logic and make well-informed decisions.
💎 FEATURES
The Interbank Dealing Range (IBDR) is a crucial concept within the ICT methodology that helps traders identify the market environment across multiple timeframes, specifically the premium and discount zones. The IBDR delineates areas where traders have the potential to buy low and sell high.
Its extremes are defined by the sweep of both buy-side and sell-side liquidity . These levels indicate the boundaries within which price is expected to evolve . Understanding these boundaries allows traders to determine where it is appropriate to enter or exit trades.
The primary goal of utilizing the IBDR is to capitalize on price movements by buying at discounted levels and selling at premium levels. This strategy aligns with the fundamental principle of trading: to buy at lower prices and sell at higher prices, maximizing profit potential.
By visualizing the IBDR on your charts, you can gain valuable insights into the prevailing market conditions and make informed trading decisions that align with the institutional approach to buying and selling.
This chart illustrates the Interbank Dealing Range (IBDR) applied to the US100 index, displaying two from different timeframes: a 1-hour (1h) IBDR on the left and a 30-minute (30m) IBDR on the right. This multi-timeframe view provides essential context for price action analysis.
The 1h IBDR could here function as the primary reference range, establishing key boundaries (High and Low) for price movement. Within this range, the Equilibrium (midpoint) separates the Premium zone (above) from the Discount zone (below). The 0.25 and 0.75 levels add further precision by subdividing these zones.
Price action then flows between these zones, creating and targeting liquidity at higher and lower levels through Relative Equal Highs and Lows. A strong upward movement into the deeper level of the Premium Zone captures high-side liquidity (with a notable reaction at the FVG on the left), forming a secondary 30m IBDR. After this liquidity sweep, the remaining liquidity is on the low side. Price then reverses downward toward it. Here, the 30m IBDR would suggest a confirmation for a potential sell entry by targeting the IBDR lows.
The relationship between the broader 1h IBDR, the more detailed 30m IBDR, and all related levels creates a powerful analytical framework. The larger timeframe provides context, while the smaller one reveals specific trading opportunities by providing entry confirmations.
✨ SETTINGS
IBDR Metrics: Adjust the timeframe and sensitivity for calculating the IBDR so traders can adapt the indicator to both short-term intraday movements and longer-term trends.
Premium/Discount Zones: Customize the levels such as 0, 0.5, 1, and other levels like 0.25 and 0.75 by default and their displayed colors and associated labels.
Alerts: Configure the alerts for Premium/Discount zones, High/Low breaks, and new IBDR, ensuring traders are kept up to date on key market events.
🎯 CONCLUSION
The Market Environment indicator serves as a powerful tool for analyzing and navigating market structure through liquidity zones. It helps identify optimal buy and sell areas while aligning with the institutional logic of major market players. While its features provide a valuable edge, it’s essential to remember that none should be used on its own, and many more factors go into being a profitable trader.
SMC Order Block & Liquidity EntryThe SMC Order Block and Liquidity Trap Entry Strategy script uses Smart Money Concepts (SMC), which analyze institutional actions in the market, to assist traders in identifying high-probability trades. In order to help traders match their entry with institutional activity, this script highlights important regions of interest, including order blocks, liquidity zones, and indications for Break of Structure (BOS) or Change of Character (CHoCH).
The fundamental ideas of this approach, which focuses on regions where institutions frequently make sizable orders or sweep liquidity, are based on SMC principles. Order blocks, which are frequently important support or resistance zones when institutions are involved, are the final bullish or bearish candle before a significant price move in the other direction. There are liquidity zones that show where retail stop-loss orders build up (above recent highs or below recent lows), such as Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL). Before changing the direction of the price, institutions could target these zones, giving traders possible chances.
The script depicts liquidity levels above or below recent highs and lows, automatically finds order blocks within a specified lookback time, and looks for BOS (a continuation signal) or CHoCH (a reversal signal). When liquidity retests inside an order block coincide with BOS or CHoCH circumstances, entry signals are produced. While short entries are triggered when the price breaks below the order block and SSL, long entry alerts are triggered when the price breaks above the order block and BSL.
Night Low Liquidity Congestions with 4 Trading SessionsThis indicator is designed to help traders visualize and analyze key market periods of low liquidity during the night and identify high-activity zones in the morning. It also includes customizable time sessions for major global markets, including the European and American sessions, as well as the London Close session.
T he main functionalities include:
- Night Low Liquidity Phase: This highlights periods with typically low market activity during the night (default: 20:01–5:59). It also displays the total range (in pips) during this phase, allowing traders to identify potential price consolidations.
- Morning Hot Zone: This focuses on high-activity periods in the early morning (default: 6:00–7:59), providing visual cues without altering bar colors.
- European Trading Session: Displays the European market’s open hours (default: 8:00–12:00), shaded in blue, to mark increased volatility typically seen during this period.
- American Trading Session: Marks the active hours of the U.S. market (default: 12:01–16:59), where market activity tends to peak.
- London Close Area: Highlights the closing hours of the London market (default: 17:00–20:00), allowing traders to track potential liquidity shifts.
Key Features:
1. Customizable Time Sessions:
- The indicator allows for full customization of the start and end times for each market session, making it adaptable to different instruments and trading style.
- Traders can choose their preferred color and opacity for each time zone to suit their charting preferences.
2. Night Low Liquidity Pip Range Calculation:
- Automatically calculates and displays the pip range for the Night Low Liquidity phase.
- The range is colored red if it exceeds the specified threshold and green if it remains below it.
3. Alarm System:
- Customizable alerts for H1, M15, and M5 timeframes.
- Traders can set alerts to trigger just before a bar closes during specific sessions (European, American, or London Close) and on selected days of the week (Monday–Friday).
- The alarm system allows for full customization of active hours and days, giving traders full control over their notifications.
4. Clear Visual Cues:
- The indicator uses transparent shading to differentiate market sessions, making it easy to spot different phases of the trading day.
- Each session is visually distinct and can be toggled on or off based on trader preferences.
Ideal For:
- Traders who focus on intraday strategies and want to understand how market sessions affect liquidity and volatility.
- Those looking to trade during specific time windows like the Night Low Liquidity or Morning Hot Zones.
- Traders who need to automate their alerts based on specific market hours and close events for major timeframes.
Risk Matrix [QuantraSystems]Risk Matrix
The Risk Matrix is a sophisticated tool that aggregates a variety of fundamental inputs, primarily external (non-crypto) market data is used to assess investor risk appetite. By combining external macroeconomic factors and proxies for liquidity data with specific signals from the cryptomarket - the Risk Matrix provides a holistic view of market risk conditions. These insights are designed to help traders and investors make informed decisions on when to adopt a risk-on or risk-off approach.
Core Concept
The Risk Matrix functions as a dynamic risk assessment tool that integrates both fundamental and technical market indicators to generate an aggregated Z-score. This score helps traders to identify where the market is in a risk-off or risk-on state, The system provides both binary risk signals and a more nuanced “risk seasonality” mode for deeper analysis.
Key Features
Global Liquidity Aggregate - The Liquidity score is a custom measure of global liquidity, built by combining a variety of traditional financial metrics. These include data from central bank balance sheets, reverse repo operations and credit availability. This data is sourced from organizations such as the U.S. Federal Reserve, the European Central Bank, and the People’s Bank of China. The purpose of this aggregate is to gauge how much liquidity is available in the global financial system - which often correlates with risk sentiment. Rising liquidity tends to boost risk-on appetite, while liquidity contractions signal increased caution (risk-off) in the markets. The data sources used in this global liquidity aggregate include:
- U.S. Commercial Bank Credit data
- Federal Reserve balance sheet and reverse repo operations
- Liquidity from major central banks including the Fed, Bank of Japan, ECB, and PBoC
- Asset performance from major global financial indices such as the S&P 500, TLT, DXY (U.S. Dollar Index), MOVE (bond market volatility), and commodities like gold and oil.
Other key Z-scores (measured individually) - The Risk Matrix also incorporates other major Z-scores that represent different facets of the financial markets:
- Collateral Risk - A measure of US bond volatility, where higher values indicate higher interest rate risk - leading to potential market instability and cautious market behaviors.
- Stablecoin Dominance - The dominance of stablecoins in the crypto markets - which can signal risk aversion the total capital allocated to stables increases relative to other cryptocurrencies.
- US Currency Strength - The U.S. Dollar Index Z-score reflects currency market strength, with higher values typically indicating risk aversion as investors sell more volatile assets and flock to the dollar.
- Trans-pacific Monetary Bias - Signals capital flow and monetary trends that link between the East and West, heavily influencing global risk sentiment.
- Total - A measure of the total cryptocurrency market cap, signaling broader risk sentiment with the crypto market.
Neural Network Synthesis - The NNSYNTH component adds a machine learning inspired layer to the Risk Matrix. This custom indicator synthesizes inputs from various technical indicators (such as RSI, MACD, Bollinger Bands, and others) to generate a composite signal that reflects the health of the cryptomarket. While highly complex in its design, the NNSYNTH ultimately helps detect market shifts early by synthesizing multiple signals into one cohesive output. This score is particularly useful for gauging momentum and identifying potential turning points in market trends. Because the NNSYNTH is a closed source indicator, and it is included here, the Risk Matrix by extension is a closed source indicator.
How it Works
Z-score Aggregation - The Risk Matrix computes a final risk score by aggregating several Z-scores from different asset classes and data sources, all of which contribute proportionally to the overall market risk assessment. Each input is equally weighted - normalization allows for direct comparisons across global liquidity trends, currency fluctuations, bond market volatility and crypto market conditions. Furthermore, this system employs multi-calibration aggregation - where each individual matrix is itself an aggregate of multiple Z-scores derived from various timeframes. This ensures that each matrix captures a distinct average across different time horizons before being combined into the overall Risk Matrix. This layered, multi timeframe approach enhances the precision and robustness of the final Z-score.
Risk-On / Risk-Off Mode - The system’s binary mode provides a clear Risk On and Off signal. This nature of this signal is determined by the behavior of the Z-score relative to the midline, or Standard Deviation Bands, depending on specific conditions:
Risk-On is signaled when the aggregated final Z-score crosses above 0. However, in extreme oversold conditions, Risk-On can trigger early if the upper standard deviation band falls below the zero line. In such cases, the Risk-On signal is triggered when the z-score crosses the upper standard deviation band - without waiting to cross the midline.
Risk-Off is signaled when the final Z-score moves below 0. Similarly, Risk-Off can also be triggered early if the lower standard deviation band rises above the midline. In this instance, Risk-Off is triggered when the Z-score crosses below the lower band.
Risk Seasonality Mode - This mode offers a more gradual transition between risk states, measuring the change in the Z-score to visualize the shifts in risk appetite over time. It's useful for traders seeking to understand broader market cycles and risk phases. The seasonality view breaks down the market into the following phases:
Risk-On - High risk appetite where risk/cyclical markets are generally bullish.
Weakening - Markets showing signs of cooling off, here the higher beta assets tend to sell off first.
Risk-Off - Investors pull back, and bearish sentiment prevails.
Recovery - Signs of bottoming out, potential for market re-entry.
Component Matrices - Each individual Z-score is visualized as part of the component matrices - scaled to a 3 Sigma range. These component matrices allow traders to view how each data source is contributing to the overall risk assessment in real time - offering transparency and granularity.
Visuals and UI
Main Risk Matrix - The aggregated Z-Score is displayed saliently in the main risk matrix. Traders and investors can quickly see what season the Risk Matrix is signaling and adjust their strategies accordingly.
Overview Table - A detailed overview table shows the current confirmed Z-scores for each component, along with values from 2, and 3 bars back. This helps traders spot trends and the rate of change (RoC) between signals, offering additional insights for shorter-term risk management.
Customizability - Users can customize the visual elements of the matrix, including color palettes, table sizes, and positions. This allows for optimal integration into any trader’s existing workspace.
Usage Summary
The Risk Matrix is an incredibly versatile tool. It is especially valuable as a means of achieving a cross-market view of risk, incorporating both crypto-specific and macroeconomic factors. Some key use cases include:
Adjusting Capital Allocation Based on Risk Seasons - Traders can use the Risk Matrix to adjust their capital allocation dynamically. During Risk-On periods, they might increase exposure to long positions, capitalizing on stronger market conditions. Conversely, during Risk-Off periods, traders could reduce or hedge long positions and potentially scale up short positions or move into safer assets.
Complementing Other Trading Systems - The Risk Matrix can work alongside other technical systems to provide context to market moves. For instance, a trend-following strategy might suggest an entry, but the Risk Matrix could be used to verify whether the broader market conditions support this trade. If the Matrix is in a Risk-Off period, a trader might opt for more conservative trade sizes or avoid the trade entirely.
This flexibility allows traders to adjust their strategies and portfolio risk dynamically, enhancing decision making based on broader market conditions - as indicated by external macroeconomic factors, liquidity, and risk sentiment.
Important Note
The Risk Matrix always uses the most up-to-date data available, ensuring analysis reflects the latest market conditions and macroeconomic inputs. In rare cases, governments or financial institutions revise past data - and the Risk Matrix will adjust accordingly. This behavior can only be seen in the Liquidity Matrix. and can affect the final score. While this is uncommon, it highlights the benefit of using a system that adapts in real-time, incorporating the most accurate and current information to enhance decision making processes.
Global Liquidity Index and DEMA1001. Global Liquidity Index:
The code calculates global liquidity from economic data from multiple countries and regions. Specifically, it aggregates money supply data from major economies such as the United States, Europe, China, and Japan, and sums and adjusts them to get a global liquidity index.
This index is calculated by summing data from different sources and subtracting the impact of some financial instruments (such as reverse repurchase agreements, etc.), and then converting the result into a number in trillions. This can help analyze the liquidity conditions in global money markets.
2. ROC SMA (Simple Moving Average of Rate of Change):
The code calculates the rate of change (ROC) of the global liquidity index, which is a way to measure the speed of change of the index.
Then, a simple moving average (SMA) is applied to the rate of change, which helps smooth the data and identify trends.
The ROC SMA curve is displayed in yellow to help users observe the trend of liquidity changes.
3. DEMA (Double Exponential Moving Average):
DEMA is a more complex moving average that attempts to reduce the lag of the moving average and provide a more sensitive trend response.
The calculation method is to first calculate a standard exponential moving average (EMA), then calculate the EMA of this EMA, and use these two results to calculate DEMA.
The code allows users to set the period length of DEMA (default is 100), which can adjust the speed of DEMA's response to price changes.
The DEMA curve is displayed in blue, helping users to more accurately capture the trends and changes of global liquidity indicators.
