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Algo Trading System Bitcoin Report For 08/17/2020

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Algo Trading System Bitcoin Report For 08/17/2020

Based on ongoing analysis of the Bitcoin market, it is clear that no single indicator, pattern or calculation accurately predicts the future market movement 100% of the time.However, when certain indicators and algorithmic strategies for the Bitcoin market are employed and measured cumulatively, a more reliable overall market bias can be established.The net result of each of the indicators and algos specifically designed for Bitcoin are summarized below.

For the most recent close for Bitcoin futures, a moving average summation is showing a neutral bias.

The momentum indicator for Bitcoin is showing a bullish bias.

Based on 5 algo trading strategies developed with the Strategy Factory methodology, the current aggregate strategy status score is +3.00, which indicates an overall bullish bias.

The aggregate stochastic algo indicator is showing a bullish bias.

The compiled RSI algo indicator is showing a bullish bias.

Overall, the current algo based bias for Bitcoin is BULLISH.

The algorithms used to establish the bias use historical data, and do not anticipate any news related price shocks.The algos are all short term swing trading strategies, with trade duration of a few days to a few weeks. All strategies have a profitable hypothetical backtest over the past 8-10 years. Algo indicators are standard indicators, computed over a wide range of input values.

With the current coronavirus situation, be VERY careful with any trades. These algos can be wrong with rapid fluctuations due to news events.

To get a free, fully disclosed algo strategy, along with algo trading system entries and exits, visit:

To learn more about algo trading systems created with the Strategy Factory approach, visit:

Past performance is not indicative of future results.Treat all results as hypothetical, for educational purposes only.

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About the author

Kevin Davey has been trading futures for over 25 years, and is currently a full time trader.  He is a 3 time international futures trading contest trophy winner and the author of 3 best selling trading books:
“Building Winning Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading” (2014)
”Introduction To Algo Trading: How Retail Traders Can Successfully Compete With Professional Traders” (2018)
”Entry and Exit Confessions of a Champion Trader: 52 Ways A Professional Speculator Gets In And Out Of The Stock, Futures And Forex Markets” (2019)
Kevin writes the monthly “Algo Q & A” column for Technical Analysis of Stocks and Commodities Magazine, and has won numerous industry awards for his trading books and online courses.  He also was selected for Crain’s Business prestigious “40 Under 40” award.
Kevin is based in Cleveland, Ohio and was a Summa Cum Laude graduate of the University of Michigan (B.S.E).  He also has a M.B.A. degree from Case Western Reserve University Weatherhead School of Management, where he received the President’s Academic Achievement Award for a perfect G.P.A.
Kevin can be reached at 440-725-2456 or via e-mail at

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