Stroply
The Trading Journal to Find your Edge in the Markets
There is a lack of good web-based trading journals on the market. Either they are uncomfortable to use and have been thought through poorly, or lack connectivity and are ran entirely locally.
Share cardActual performance
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Made the leaderboard
Launch Intel predictions
Analyze your own launch →57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Incorrect prediction on native model
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The discipline-first trading journal integrated with AI mark