I have been trying to figure out which strategy to go with and observed something interesting - all the backtests are since July ‘25 and the market since then has been mostly bearish. This may introduce some skewness in the results.
Stratzy team - any reason to do so, and plans to disclose trade data older than July ‘25?
Which platform you are watching , data shown are live trades on stratzy, I m using algo since 6 plus month , my all trades are part of data it’s definitely not a backtest data
I am looking in the past trades section on stratzy and dhan both
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@nissh123 @jay.gori can you guys please take a look at my query?
Hi @sv28
Thank you for your question.
The trade data that you see on the platform is not backtest data. It consists of actual LIVE trades executed by the Algos for users, which is why the history begins from the time the respective Algo was made LIVE.
Please note that our backtest data is proprietary and is not shared publicly. At Stratzy, we intentionally focus on showcasing the actual LIVE trades executed by the Algos, as we believe real-world performance offers users a more transparent and practical perspective than backtest results alone.
That said, for newly launched Algos (those carrying the Early Access tag), we do provide one year of backtest data. This is intended to help users make a more informed decision on whether the Algo aligns with their risk appetite and investment approach before deploying it.
I understand the rationale behind not disclosing the backtest trades, but can you disclose the metrics from backtest to take informed decisions. I was going through the community and it was clear from multiple posts that there’s a pattern - most people have similar questions.
Hi @sv28
Thank you for sharing your thoughts.
As mentioned previously, our primary focus has always been on showcasing the actual and real performance of our Algos in LIVE market conditions. This has been our philosophy since the very beginning, and therefore the performance metrics available on the platform are also designed to reflect the Algo’s real-world behaviour rather than historical backtests.
We believe that LIVE performance provides users with a more transparent and practical understanding of how an Algo performs in dynamic market conditions, helping them make more informed deployment decisions.
That said, we do appreciate the suggestion you’ve shared. We will certainly give your requirement due consideration as we continue to enhance the platform and evaluate future improvements.
Thank you once again for taking the time to share your feedback. It is inputs like these that help us evolve the platform further.