Define your models & risk management IN DETAIL here. Ask yourself what are you looking for? Develop a hypothesis. Decide what variables & what constant to track based on what you want to find out. Track your data, analyze it, & draw your conclusion.
List your models using a grading system. Model A+: ex, Unicorn Model A-: ex , ‘22 Model Model B: ex, OTE Model C: ex, OHLC Model D: ex, IOFED N\M = “new model” N\A = not applicable, not a model meaning no setup occurred if you are tracking frequency.
TIP: I advise using a time based constant in your testing. ex New York midnight open price = NYMO. Are you above it or below it for power of 3? Abbreviations: LP Liquidity Purge MSS Market Structure Shift RR Reward to Risk
How to use this template: Document all backtesting on the “Full Log” tab. The Models tab will group your trades by model. There will be summaries of the average durations, win rate, & total RR below each group. The PD Arrays tab will group your trades by PD Arrays. There will be summaries of the average durations, win rate, & total RR below each group. The Durations tab will give you a summary of how long winning trades are held. Daily tabs will group trades according to days of the week & will provide summaries on total RR, total profit & loss, win rate, & average max possible win. Please DM https://twitter.com/imJessTwoOne for further help or customization.
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Add your own entry & exit times as they occur in your testing. Remember Time comes before Price.