Market Facilitation Index (MFI) Strategy

Discover a unique Market Facilitation Index (MFI) strategy for the S&P 500. This daily timeframe strategy combines MFI, volume, and SMA for potential long entri

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily
  • Markets: S&P 500

Indicators used

  • Market Facilitation Index (MFI)
  • SMA
  • Volume

Source video

Decoded from: Testing Bill Williams’ MFI Strategy: What the Backtest Revealed by Quantified Strategies — watch the original

Key timestamps:

  • 0:17 - Introduction to Market Facilitation Index (MFI)
  • 1:20 - How MFI is calculated
  • 1:50 - What high/low MFI values indicate
  • 2:05 - Trading rules for MFI strategy
  • 2:30 - Backtest results on S&P 500
  • 3:00 - Sensitivity test of moving average

Strategy overview

A moving average is usually drawn on price, where it smooths the raw series into a slower reference line. This page applies that same idea somewhere unusual: not to price at all, but to Bill Williams' Market Facilitation Index (MFI), a gauge that weighs a bar's range against its volume to ask how much actual price movement each unit of trading is buying. Worth stating up front — this is Williams' MFI, a range-versus-volume measure, not the similarly abbreviated Money Flow Index, which is a volume-weighted momentum oscillator.

The entry is decoded from Quantified Strategies' video "Testing Bill Williams' MFI Strategy: What the Backtest Revealed," and the title signals the channel's habitual angle: take a named discretionary concept and put it on a backtest to see what survives. The video walks through how MFI is calculated, what high and low readings imply about how freely price is moving per unit of volume, and then tests the idea on the S&P 500. A moving average of the MFI serves as the reference the signal is measured against — and, notably for a page filed under moving averages, the video runs a sensitivity test on that average to see how much the choice of smoothing changes the outcome.

That sensitivity check is the part worth dwelling on: a threshold built on a moving average is only as good as its length, and tightening or loosening it changes what the signal flags. This page introduces the MFI concept and the source video's backtest-first treatment of it rather than reproducing the author's specific rules and settings.

Topics

market facilitation index strategy · mfi trading strategy · technical indicators · s&p 500 trading strategy · daily trading strategy · pine script · tradingview strategy · volume analysis · sma strategy · index trading strategy · swing trading

Frequently asked questions

What is the Market Facilitation Index (MFI)?

The Market Facilitation Index, developed by Bill Williams, weighs a bar's price range against its volume to measure how much price movement each unit of volume produces — in other words, how efficiently the market is 'facilitating' price change. High versus low readings suggest whether price is moving freely or grinding against heavy volume.

Is Bill Williams' MFI the same as the Money Flow Index?

No. They share the MFI abbreviation but are different tools: Bill Williams' Market Facilitation Index compares range to volume, while the Money Flow Index is a volume-weighted momentum oscillator that ranges from 0 to 100. This strategy is based on Williams' version.

How does a moving average fit into this MFI strategy?

Rather than being applied to price, a moving average is used here to smooth the MFI itself and act as the reference the signal is compared against. The source video also runs a sensitivity test on that moving average to gauge how much its length affects the results.

How can I test an MFI strategy before trading it?

Backtest it on historical data first, as the source video does on the S&P 500, and check how sensitive it is to your settings. Strategy Decoder extracts the structure of strategies like this one from video sources so you can evaluate and test them on TradingView.

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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