Li
LiveDataFrame – Quickly Prototype Trading Strategies in Python
LiveDataFrame – Quickly Prototype Trading Strategies in Python
Share cardActual performance
4points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →51%51% 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.
44%44% predicted probability of success on BetaList, based on ML models trained on real launch data.
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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