200-day Moving Average
Explore the 200-day Moving Average (DMA) strategy, a key indicator favored by Paul Tudor Jones for market analysis across various financial markets.
Published · Updated · Methodology: Technical Indicators
Part of: Moving Average Strategies
- Methodology: Technical Indicators
- Content type: educational
- Markets: S&P 500, international financial markets
Indicators used
- 200-day moving average
Source video
Decoded from: $7.3 Billion Paul Tudor Jones: His Winning Strategy (Backtested) by Quantified Strategies — watch the original
Key timestamps:
- 0:00 - Introduction to Paul Tudor Jones's strategies
- 0:09 - Mention of 200-day moving average
- 0:13 - Performance comparison of 200-day average strategy
- 0:17 - Global macro trading mentioned
- 0:21 - Active money management mentioned
Strategy overview
The 200-day moving average is the market's most-watched long-term trend line — a single line tracking the average of the last 200 daily closes, roughly a year of price action. This entry decodes Quantified Strategies' video "$7.3 Billion Paul Tudor Jones: His Winning Strategy (Backtested)", which frames that ordinary indicator through an extraordinary user: it treats the 200-day average not as an entry trigger but as the defensive benchmark associated with one of the most successful global-macro traders alive.
Paul Tudor Jones is well known for compressing risk management into a single idea — watch the 200-day moving average and step aside when price closes below it, because the priority is never losing everything. The angle the video works is the contrast: a discretionary trader famous for global-macro positioning and active money management still anchors his defensive discipline to a line any beginner can plot. Rather than repeat that as folklore, the channel's framing is to examine the claim quantitatively, comparing how a rules-based 200-day approach behaves.
Read this way, the 200-day line is a capital-protection filter first and a trend gauge second — the operative question is less "when do I buy" and more "am I on the wrong side of the long-term trend." This page focuses on how the source video positions the indicator within Jones's broader approach, with its emphasis on staying out of sustained downtrends, rather than presenting it as a packaged, rule-by-rule system.
Topics
200 day moving average · paul tudor jones strategy · technical analysis · trading strategy · moving average strategy · market indicator · financial markets strategy · s&p 500 trading · swing trading · tradingview strategy · pine script
Frequently asked questions
What is the 200-day moving average?
It is the average of an asset's closing prices over the last 200 trading days, plotted as a single line. Because it smooths out roughly a year of price action, traders use it as a reference for the long-term trend — price above it is often read as a healthy uptrend, below it as a broken one.
Why does Paul Tudor Jones use the 200-day moving average?
The video presents it as his core defensive rule — a simple, mechanical line for deciding when to step aside rather than a precise entry trigger. The emphasis is on avoiding sustained downtrends and protecting capital, consistent with his reputation as a risk-focused global-macro trader.
Is the 200-day moving average a buy or sell signal?
On its own it works more as a trend filter than a trigger. The approach discussed in the video uses it to define which side of the market you should be on, leaving precise entries and exits to other rules.
How can I test a 200-day moving average approach before trading it?
Backtest it on historical data before committing capital. Strategy Decoder extracts the structure of strategies like this one from their source videos so you can evaluate and test the concept 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.
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