ICT Liquidity
Learn to identify time-based liquidity pools in ICT trading strategies, focusing on previous highs and lows across different timeframes to refine analysis.
Published · Updated · Methodology: ICT
Part of: Liquidity Sweeps & Grabs
- Methodology: ICT
- Content type: educational
Source video
Decoded from: ICT Liquidity 101 🎯 #trading #ictconcepts #liquidity #ict #howtotrade #wifimoney #entrepreneur by Casper SMC — watch the original
Key timestamps:
- 0:00 - Introduction to finding liquidity
- 0:04 - Focus on time-based liquidity
- 0:08 - Examples of time-based liquidity
- 0:12 - Benefits of this approach
Strategy overview
Most liquidity teaching answers a spatial question — *where* on the chart do resting stop orders sit, above equal highs or below an obvious swing low. This entry decodes a Casper SMC clip that reframes the same idea around the clock instead of the chart: after a brief setup, the video's stated focus is time-based liquidity, followed by examples and an argument for why that lens is worth adopting.
That shift matters more than it sounds. In ICT vocabulary, time-based liquidity points at moments the market treats as reference points regardless of what the candles look like — session opens, the daily and weekly open, the windows when volume and participation reliably change. A price-based reading asks you to find the level first and then wait; a time-based reading tells you when to be watching, and lets the level reveal itself inside that window. The four beats of this clip — introduction, focus, examples, benefits — follow the shape of an argument for the approach rather than a walkthrough of a setup.
This is a 101-format primer, and it should be read as one: no rule set, entry condition, or parameter was extracted from it, and no timeframe or tooling is specified. Its value is orientation — a way of deciding where to point your attention before any entry model gets layered on top. Traders working through ICT material usually meet the price-based version of liquidity first, which is precisely why the time-based framing is worth encountering early rather than as an afterthought.
Topics
ict trading · liquidity trading · price action · tradingview strategy · pine script · advanced trading concepts · ict liquidity strategy · forex strategy · futures trading strategy
Frequently asked questions
What is time-based liquidity in ICT?
In ICT vocabulary, time-based liquidity is the idea that certain moments in the trading day carry reference significance on their own — session opens, the daily or weekly open, and windows where participation shifts — so liquidity can be anticipated by when it forms rather than only by where it sits on the chart.
How is time-based liquidity different from a liquidity sweep above equal highs?
They answer different questions. A sweep above equal highs is a price-located read: you identify the level, then wait for price to run it. A time-based read starts from the clock, using a specific window as the anchor and letting the relevant levels form within it. In practice the two are usually combined, but the starting point differs.
Does this video give a complete trading strategy?
No. It is a short 101-style primer covering the concept, examples, and why the approach is useful. No entry rules, exit conditions, timeframes, or indicator settings were extracted from it, and it should be treated as conceptual orientation rather than a mechanical system.
Where does this fit if I'm learning ICT concepts?
It sits early — a framing device to apply before entry models like fair value gaps or market structure breaks. Strategy Decoder catalogs ICT-based videos like this one so you can see how different creators build up the same vocabulary and compare the concept-level material against sources that specify actual rules.
About this strategy page
This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.
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