Skruge.in using machine learning for stockexchange

Hacker News

http://www.skruge.in I've worked on a project that analyze social network and news and also find pattern in stocks (as the black friday. As i need fund to continue to work on this, it seems fair to me to give tips and ask people to make donation when they will make a benefice with our tips. We mainly use python / django / rethinkdb & postgresql / ipython / scykit for data learning and stats. One of our goal is to explain each time why you have to buy.

Visit product View on Hacker NewsNov 4, 2014

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3points

2comments

Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, new, using · Missing: agents, macos, agent

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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