Overnight Trading Strategies, RSI

Explore overnight trading strategies for the S&P 500 (SPY ETF). This guide details entry rules based on consecutive closes and 2-day RSI, with specific backtest

Published · Updated · Methodology: Technical Indicators

Part of: RSI Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily (close to open)
  • Markets: S&P 500 (SPY ETF)

Indicators used

  • RSI

Source video

Decoded from: 4 Overnight Trading Strategies: Rules & Backtest by Quantified Strategies — watch the original

Key timestamps:

  • 0:08 - Introduction to overnight trading SPY
  • 0:30 - Explanation of overnight strategy concept
  • 1:10 - First strategy rules: 3 lower closes
  • 2:00 - Improvement for first strategy: sell at close
  • 2:28 - Third strategy rules: 2-day RSI below 10
  • 3:10 - Improvement for third strategy: sell at close

Strategy overview

Overnight trading inverts the usual order of a strategy: the holding window is fixed in advance — enter at the daily close, exit at the next open — so the only thing left to design is the test that decides whether tonight is worth taking. RSI, which measures how stretched recent closes are relative to their own recent range, serves here as that admission gate rather than as a chart signal you watch and manage.

This entry decodes RSI's role in Quantified Strategies' video "4 Overnight Trading Strategies: Rules & Backtest", which walks through four separate entry ideas on SPY, all funnelled into the same close-to-open container. That comparative setup is what makes the RSI version interesting: the exit is held constant across all four, so what is actually being compared is the quality of each admission test, not the trade management. The channel's format is rules-first and backtest-second, and the video also pairs each idea with a variation on where the position is released — a reminder that the release point is a design choice, not a given.

The structural consequences are worth naming plainly. There is one decision per day and it happens at the close; there is no intraday management, no scaling, and no chance to react once the session ends — the entire outcome is settled by a single opening print, which is also where gap risk lives. Exposure is measured in hours, so position count and slippage matter more than they do for multi-day approaches. No trade rules or settings were extracted for this entry, so this page covers the concept and the source video's framing rather than a rule-by-rule breakdown.

Topics

overnight trading strategy · rsi strategy · spy trading strategy · s&p 500 strategy · technical indicators · trading strategy · pine script · tradingview strategy · daily timeframe strategy · short-term trading · etf trading strategy

Frequently asked questions

What is an overnight trading strategy?

An overnight strategy takes a position at the daily close and exits at the next open, so the holding period is defined by the calendar rather than by a price target or trailing stop. The design work goes into deciding which nights to be in the market at all.

How is RSI used in an overnight strategy?

RSI acts as an entry filter evaluated on the daily close: it decides whether the session that just ended qualifies for holding the position through to the next open. It is not used as an intraday trigger, and it does not determine the exit — the calendar does.

What are the main risks of holding a position overnight?

There is no ability to manage the trade once the session closes, and the result is determined by a single opening print — which means gap risk from news or events released outside market hours. Because exposure lasts only hours, transaction costs and slippage also weigh more heavily on the result than in longer-horizon approaches.

Does this page include the exact rules from the video?

No trade rules or settings were extracted for this entry, so this page describes the concept and how the source video frames it. Strategy Decoder extracts the structure of strategies from video sources where it can be identified, so you can evaluate and backtest them on TradingView before risking capital.

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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