200 Bar Momentum, Day of Week Strategy

Daily NQ/MNQ futures system: long Thursdays when close beats the close 200 bars ago, short Wednesdays when below; $5000 stop, 3x ATR(15) profit target.

Published · Updated · Methodology: Technical Indicators

Part of: ATR & Volatility

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: 1440 minute bars (more or less daily bars)
  • Markets: Mini Nasdaq futures (NQ), Micro Nasdaq futures (MNQ)

Indicators used

  • Momentum
  • ATR

Source video

Decoded from: Awesome Mini Nasdaq Trading Algo - FULLY Disclosed! by Algo Trading With Kevin Davey — watch the original

Key timestamps:

  • 0:00 - Intro & Sneak Peek Performance Results
  • 0:21 - Get A FREE Mini S&P Strategy!
  • 1:11 - Mini Nasdaq Basics
  • 3:04 - Chart Setup Description
  • 3:56 - Sample Trades With This Algo Trading Strategy
  • 4:55 - Easy Language Code For This Algo Strategy
  • 7:26 - Complete Equity Curve & Performance Highlights For This Algo Strategy
  • 8:56 - Performance After Strategy Release ("Live" Performance)
  • 9:17 - Walkforward Testing, Strategy Factory Process

Strategy overview

Average True Range (ATR) measures how much ground price typically covers in a bar, which makes it the standard yardstick for sizing stops and targets against current volatility rather than against a fixed number of points. This entry applies that yardstick to a very different kind of setup than the usual intraday volatility play: a slow, daily-bar system on Nasdaq futures that combines a long-lookback momentum reading with a day-of-week condition, so ATR is doing normalization work on an instrument whose daily range swings widely from one regime to the next.

The source is Kevin Davey's video "Awesome Mini Nasdaq Trading Algo - FULLY Disclosed!" from the Algo Trading With Kevin Davey channel. The framing matters as much as the setup: Davey structures the video around full disclosure, moving from Mini Nasdaq contract basics and chart setup through sample trades and ending on the EasyLanguage code for the system itself, rather than describing a concept and withholding the mechanics. That is unusual enough in retail algo content to be the main reason this entry is worth tracing back to its source.

Two things are worth thinking about before adapting the idea. A day-of-week condition is one of the cheapest filters to add and one of the easiest ways to fit a curve to history, so it deserves out-of-sample scrutiny more than most rules. And a momentum reading with a long lookback on daily bars produces a low-frequency system, which means fewer trades, a smaller sample, and slower feedback on whether the edge is real. This page catalogs the strategy and its source; the video itself is where the disclosed logic lives.

Topics

momentum strategy · day of week effect · day trading strategy · swing trading · futures trading strategy · nq trading strategy · mnq strategy · pine script strategy · tradingview strategy · technical analysis · algorithmic trading · 1440 minute strategy · atr indicator · momentum trading

Frequently asked questions

What role does ATR play in a daily-bar strategy like this one?

ATR gives a running estimate of how much price moves per bar, so it can scale stops, targets, or position size to current volatility instead of fixed point values. On Nasdaq futures, where the daily range in a calm stretch looks nothing like the range in a volatile one, that normalization is what keeps risk roughly comparable across regimes.

What is a day-of-week filter in a trading strategy?

It is a calendar condition that allows or blocks trades depending on the weekday. Traders add them when historical returns appear to cluster on particular days, but because a weekday filter can improve a backtest by chance alone, it is one of the rules most in need of out-of-sample and walk-forward validation.

What does "fully disclosed" mean for this Nasdaq algo?

It refers to how the source video is structured: Kevin Davey walks through the contract basics, chart setup and sample trades, and closes by showing the EasyLanguage code for the strategy on screen rather than keeping the logic hidden. The strategy itself is presented as something viewers can inspect and code, not as a black box.

How should I evaluate a low-frequency futures strategy before trading it?

Backtest it over enough history to cover several volatility regimes, check that the trade count is large enough to say anything meaningful, and test the calendar and momentum conditions separately to see which one is actually carrying the result. Strategy Decoder catalogs strategies like this one alongside their video sources so you can find the original and test the ideas yourself.

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.

Other versions of this strategy

More decoded strategies