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50% Probability Pattern Turns Into 80%++ Probability for Futures! How? Machine Learning Algorithms Finding Patterns
Released on Wednesday, November 14, 2018•STRATEGIES
Someone's garbage is someone's profit!" We applied Machine Learning Algorithms (Google, Amazon, etc.) on Seasonality and discovered how to take 50-60% probability seasonal patterns and turn
them into a high probability trade. The E-mini Sp500 Futures had a 55% probability of being bearish according to seasonal patterns. This is what everyone saw and ignored it. However, we did not! It was a high probability bullish trade yielding an average of 5.9% to 9.5% bullish for January 2018. In fact, 2019 has high probability of being bullish too. A trade for 2 years with little work.We will show you what to look for in Futures, Currencies, and Stocks. Stocks for all Global markets from US, Europe, Middle East, Asia, and more. All this is done without a chart too and free! Filter and find these high probability situations and then apply your technical/fundamental analysis. These 30 minutes will change the way you think!.
Manesh Patel
iMTFTrade,
President and Founder
Manesh Patel is the president and co-founder of Manesh Patel is the president and co-founder of iMTFTrade, and a veteran quantitative trader. Mr. Patel is the author of the book "Trading with Ichimoku Clouds: The Essential Guide to Ichimoku Kinko Hyo Technical Analysis", published by Wiley Publishing. He spent many years trading for institutional trading firms, building black box quantitative trading models, and creating many other trading tools designed to provide an edge when trading the markets.
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