I am a trader, not a coder. My primary goal is to find the holy grail of automated trading strategies. My secondary goal is to demystify the process of creating automated trading strategies for programmers and traders alike.

I’ve defined the holy grail of trade strategy to be the following (based on annual performance):

  • Profit factor greater than 3

  • Annual drawdown less than 3%

  • Annual return on max drawdown greater than 500%

  • Maximum daily loss is -$1,000

  • Avg Daily profit greater than $1,000

  • Less than 5,000 trades annually

  • More than 253 trades annually

We have yet to find this elusive automated trade strategy, but we’re on the hunt!

As a subscriber to the Automated Trading Strategies newsletter, you’ll be among the first to find out when we do. Meanwhile, sign up for our email list for regular updates.

Click here for links to all strategy descriptions.

Important: There is no guarantee that our strategies will have the same performance in the future. We use backtests to compare historical strategy performance. Backtests are based on historical data, not real-time data so the results we share are hypothetical, not real. There are no guarantees that this performance will continue in the future. Trading futures is extremely risky. If you trade futures live, be prepared to lose your entire account. We recommend using our strategies in simulated trading until you/we find the holy grail of trade strategy.

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Automated Trading Strategies (for non-coders) - We're on a hunt for the holy grail of automated trade strategy.


Celan Bryant (CB)

Trader, Dog Lover, Sci-fi Comedy fan, MBA, Harvard Fellow. Fascinated in nature, animal behavior, alt-investments, economic systems, ancient text, social entrepreneurship, direct democracy, and longevity techniques. Married to my soul mate.