FOMC Trading Strategy
Learn to trade FOMC events (2 PM NY time) on Nasdaq & Futures markets using algorithmic models. This strategy focuses on price action and timing during high-imp
Published · Updated · Methodology: ICT
Part of: News Trading
- Methodology: ICT
- Content type: strategy
- Markets: Nasdaq, Futures
Source video
Decoded from: DESCIFRE EL ALGORITMO EN DIAS DE FOMC | MMSM NQ & ES 31/07/2024 ⚡️🏆 by ULTRA ACADEMY — watch the original
Key timestamps:
- 0:00 - Introduction to FOMC day trading
- 0:15 - Importance of patience on FOMC days
- 0:25 - Focus on Power of Three model
- 0:35 - Specific time for FOMC event (2:00 PM NY time)
- 0:50 - Claim of market manipulation by algorithms
Strategy overview
Scheduled macro events compress a session's worth of repricing into a few minutes, and the FOMC rate decision is the most watched of them. This entry decodes a session from ULTRA ACADEMY that reads one specific FOMC day — 31 July 2024, on Nasdaq (NQ) and S&P (ES) futures — through an ICT lens rather than the usual macro-reaction lens: the question it asks is not what the Fed said, but how the session is structured around the moment it says it.
Two ideas drive the framing. The first is patience: the video opens by arguing that FOMC days punish early positioning, and that the hours before the 2:00 p.m. New York release are for waiting rather than trading. The second is the Power of Three — ICT's accumulation, manipulation, distribution sequence — used as the map for how the day's move is expected to build, with the MMSM tag in the title placing the read squarely in ICT's market-maker model vocabulary. Its central assertion, stated in the first minute, is that price behaviour around the release is algorithmic and therefore readable; that is where the title's promise to decipher the algorithm comes from.
Worth being clear about what this is: commentary on a single dated session, not a rulebook. No mechanical entry, exit or risk logic was extracted from this source, so the Power of Three structure and the 2:00 p.m. anchor are best treated as a framework you still have to define rules on top of. Event-driven ideas deserve that scrutiny more than most — how a model reads on one FOMC day says very little about the next twelve.
Topics
fomc trading strategy · ict trading · fomc strategy · nasdaq trading strategy · futures trading strategy · price action strategy · tradingview strategy · pine script · scalping strategy · day trading strategy · algorithmic trading · trading strategy
Frequently asked questions
What makes FOMC days different for intraday traders?
The Fed's rate decision is a scheduled, high-impact release, so volatility and liquidity cluster around a known clock time instead of spreading across the session. This video anchors its entire approach to the 2:00 p.m. New York release and treats the hours before it as a waiting period.
What is the Power of Three model in ICT?
It describes a move in three phases — accumulation, manipulation and distribution: price first builds within a range, then runs the obvious levels in the opposite direction, then delivers the move that holds. The video uses that sequence as its frame for how an FOMC session is expected to unfold.
Are FOMC moves really driven by algorithms?
The video presents algorithmic manipulation as its premise rather than as something it sets out to prove. It is true that most order flow around scheduled releases is executed algorithmically; whether that behaviour is predictable enough to trade is a claim each trader should test on their own data before accepting it.
Can an FOMC-day approach like this be backtested?
Partly. The event calendar and the 2:00 p.m. time anchor are fully mechanical, but structure-based elements such as identifying a manipulation phase need explicit definitions before they can be coded or tested. Strategy Decoder extracts the structure of strategies from video sources — for this one no complete rule set was available, so this page covers the concept and the source rather than a mechanical breakdown.
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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