Jim Simons Reveals the Truth About Market Efficiency

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🧠 Jim Simons, legendary founder of Renaissance Technologies, challenges the Efficient Market Hypothesis in this brilliant insight.

He explains how subtle anomalies in price data—especially in commodities—can be exploited with machine learning to consistently generate profits. By identifying, testing, and combining predictive patterns, Simons built one of the most successful trading strategies in history.

This clip reveals the essence of his quantitative approach and why believing that “the price is always right” might cost you the edge.

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👉 What you’ll learn:

Why market anomalies matter

The flaw in efficient market theory

How to use data and testing like a pro

The role of machine learning in trading

Jim Simons’ approach to building predictive systems

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#JimSimons #MachineLearning #QuantTrading #MarketAnomalies #TradingStrategy #EfficientMarketTheory #AlgoTrading #RenTech #DataDrivenTrading #ComLucro

Legenda:

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there's something called the efficient

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market theory which says that the price

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is always right in some sense but that's

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just not true there are anomalies in the

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data even in the price history data

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commodities especially used to trend

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though if you could get the trend right

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you'd bet on the trend and you'd make

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money more often than you wouldn't that

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was an anomaly but gradually we found

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more and more and more and more

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anomalies you put together a a

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collection of these subtle anomalies and

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you begin to get something that will

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predict pretty well it's what's called

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machine learning you find things that

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are predictive you test it out on

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longterm historical data and then you

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add to the system this if it if it works

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and if it doesn't you you throw it

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