Algorithmic trading ecosystem

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User credentials: User email: justforfunduser@gmail.com Password: demouser123 Hi everyone. Hope you are all doing well. I developed a company that enables it's users to post algorithmic trading strategies and financial data resources for other users to use. Through the website, investors can connect their brokerage accounts to trading strategies developed by financial advisors. Developers can either: - Create algorithms and post trading signals in exchange for a fee - Create financial data resources for other users to use in exchange for a fee The interaction with the platform can either take place manually through the website or automatically through an API ( https://justfor.fund/api_documentation ). Any feedback, help or advice is very much welcomed. Thank you for your time. Sincerely, Matías Mingo Founder and CEO at JustForFund Spa. Email: justforfundtrading@gmail.com Santiago, Chile. Ps: Currently looking for a job as a developer or as a contractor.

Visit product View on Hacker NewsJan 19, 2023

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72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: users, trading · Missing: mobile apps, ios, personal

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Product HuntUnlikely to reach the leaderboard · Strong signals: user, email · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

9%9% 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.

Correct prediction on native model

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