Russell 2000 End of Month Trading Strategy

Discover an end-of-month Russell 2000 trading strategy. It buys on the 5th last day, holds until the 1st new month day, and outperforms buy-and-hold despite 28%

Published · Updated · Methodology: Technical Indicators

Part of: Algorithmic & Automated Trading

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily
  • Markets: Russell 2000

Source video

Decoded from: Russell 2000 Trading Strategy With Rules And Historical Backtest by Quantified Strategies — watch the original

Key timestamps:

  • 0:00 - Introduction to the strategy
  • 0:00 - Entry rule: 'we buy on the last fifth trading day of the month'
  • 0:00 - Exit rule: 'we hold the position until the end of the first trading day of the new month'

Strategy overview

A calendar-anchored strategy replaces the price signal with the date: nothing on the chart triggers the trade, the position is opened and closed on a schedule tied to where you are in the month. This entry decodes a Quantified Strategies video that applies that idea to the Russell 2000 — the US small-cap index — on the daily timeframe, with a holding window straddling the boundary between one month and the next. The channel's house format is visible in the video title itself, "Russell 2000 Trading Strategy With Rules And Historical Backtest": a stated rule set paired with a historical test, presented together rather than as a discretionary idea.

The distinctive part of a strategy like this is what it does *not* contain. With no indicators and no chart conditions, the implementation questions move somewhere unfamiliar: how a "trading day" is counted, which exchange holiday calendar the count runs on, and what happens in a month where an unscheduled closure shifts the window. Instrument choice does similar work — the Russell 2000 is an index, not something you buy, so the strategy is actually executed through a proxy (an ETF, index futures, or a CFD), each with different costs, trading hours and dividend treatment. Two people running the same calendar rule on different proxies are not running the same strategy.

The cadence also shapes what any historical result can mean. A trade that occurs once per month produces on the order of twelve observations a year, so even a multi-decade test is a few hundred trades — a sample worth keeping in mind when reading any published backtest of a seasonal pattern, and a reason these effects are usually discussed in terms of regime coverage rather than trade count. No rule set was extracted for this entry, so this page covers the concept and how the source video frames it rather than a decoded breakdown of the setup.

Topics

russell 2000 trading strategy · end of month strategy · seasonal trading strategy · daily timeframe strategy · trading strategy · technical indicators · swing trading · index trading strategy · russell 2000 · pine script · tradingview strategy

Frequently asked questions

What is an end-of-month or turn-of-the-month trading strategy?

It is a calendar-based approach: the position is opened and closed according to the trading-day count within the month rather than in response to a price signal, so the trade window sits around the boundary between one month and the next. Because the trigger is a date, the strategy has no indicators and no chart conditions.

Why apply a calendar strategy to the Russell 2000?

The Russell 2000 is the standard US small-cap index, and the source video applies the month-boundary idea to it specifically. Worth noting that an index cannot be traded directly — in practice the rule is executed through a proxy such as an ETF, index futures or a CFD, and those instruments differ in cost, trading hours and how they handle dividends.

What makes calendar strategies harder to backtest than they look?

Two things. First, sample size: a monthly trade yields roughly twelve observations a year, so a long history still amounts to a few hundred trades. Second, the calendar itself — trading-day counting conventions and exchange holiday calendars have to match between your backtest and your live execution, or the two will occasionally take the trade on different days.

Where do the actual rules for this strategy come from?

From the Quantified Strategies video, which presents its own rule set alongside a historical test. This Strategy Decoder entry does not include an extracted rule set for this strategy, so the page covers the concept and the video's framing rather than a decoded 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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