Intraday Seasonal Patterns NASDAQ Scalping Strategy

Exploit seasonal intraday patterns in NASDAQ 100 Futures with this scalping strategy. Enter long based on day of week, hour, and daily RSI. Focuses on time-base

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Hourly (for strategy execution), Daily (for filter conditions)
  • Markets: NASDAQ 100 Futures

Indicators used

  • RSI
  • OSA (Oscillator of Subchart)
  • Bearish Fractal
  • Linear Regression
  • Hull Moving Average

Source video

Decoded from: Intraday NASDAQ Scalping Strategy Revealed! 💰 by Ali Casey | StatOasis — watch the original

Key timestamps:

  • 0:30 - Introduction to NASDAQ scalping strategy
  • 2:00 - Market characteristics and patterns
  • 3:00 - Heat map of NASDAQ intraday patterns
  • 4:00 - Core strategy entry/exit times
  • 5:00 - Backtest results and metrics
  • 6:00 - Adding filters with StrategyQuant X (RSI example)
  • 8:00 - Building multiple strategies with random filters
  • 11:00 - Combining multiple patterns into a portfolio

Strategy overview

A moving average smooths price into a single line, and most strategies built around one treat that line as the trigger — this one does not. The signal here is the clock: intraday seasonality, the tendency for particular hours of the NASDAQ session to behave in recurring ways. The moving average arrives much later, in the filter layer, as one of several conditions bolted onto a setup that already knows *when* it wants to trade.

The running order of the source video makes that hierarchy explicit. Ali Casey's StatOasis channel opens on market characteristics and patterns, then puts a heat map of NASDAQ intraday behaviour on screen as the central research artifact before any entry rule appears; the core strategy is then described in terms of entry and exit times rather than indicator crossings; backtest results follow; and only in the closing chapter do filters enter, with an RSI condition walked through as a worked example of the filtering process rather than as the strategy itself. That closing chapter is also where the tooling shifts — filters are added inside StrategyQuant X, a strategy-generation platform, rather than drawn on a chart. The two timeframes filed for this entry follow the same split: execution on the hourly, filter conditions on the daily, so the confirmation layer runs on a slower clock than the trades it approves.

Some honest notes on what this page can and cannot tell you. No mechanical rules were decoded from this video, so the specific hours, thresholds and filter values are not reproduced here. "Revealed!" is the video's own billing. Backtest results are discussed in the source, but no date range, data source or venue is stated alongside them — and the indicator stack recorded for this entry, an oscillator, a fractal condition, a linear regression and a Hull moving average, reflects the filter menu explored in the video rather than one fixed, tested configuration.

Topics

intraday strategy · nasdaq scalping · seasonal patterns · nasdaq 100 futures · scalping strategy · rsi strategy · trading strategy · technical indicators · pine script · tradingview strategy · futures trading strategy · intraday nasdaq strategy

Frequently asked questions

What is an intraday seasonal pattern?

It is a tendency for specific times of the trading day to behave in recurring ways — some hours trending, others reverting or going quiet — measured across many sessions rather than read off a single chart. Strategies built on it use the clock as the primary condition instead of an indicator signal.

Where does a moving average fit in a time-based scalping strategy?

Usually as a filter rather than a trigger. When entries and exits are anchored to the clock, a moving average is one way to add a trend-state or directional condition on top: it helps decide whether a scheduled trade is taken at all, not when it happens.

What does a NASDAQ intraday heat map show?

It maps behaviour across the hours of the session so that recurring strong, weak and quiet periods stand out visually. In the source video it is the research step that comes before any entry rule, which is why the resulting strategy is expressed in times rather than in indicator conditions.

How can I evaluate a time-of-day strategy before trading it?

Test it across many sessions and across separate periods, since intraday seasonality can shift with market regime, session hours and instrument. Strategy Decoder catalogs strategies like this one from video sources; note that no mechanical rules were decoded from this particular video, so this page covers the concept and the source rather than a rule-by-rule 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.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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