alpharithmic-trading
Unverified ML strategy on Indices by Novacer. BotFinder score 18 out of 100.
Backtest your trading strategy at a click of a button! How much alpha can you generate?
Source: github
BotFinder analysis pending.
alpharithmic-trading
Alpharithmic Trading Backtest your trading strategy at a click of a button! How much alpha can you generate? In case you haven't noticed yet, we are LIVE at http://alpharithmic.herokuapp.com. More exciting features to come! Technologies used in this project: Python Django REST Framework Zipline Live Trading Engine Django Channels Daphne Asynchronous Server Gateway Interface (ASGI) Redis Job Queue Websockets Numpy Matplotlib Scikit-learn (Machine Learning) Pandas REST API Angular 6 Angular Material Bootstrap Chartjs Introduction This web application provides hyper-realistic and interactive simulations for trading algorithms. With a philosophy that "seeing is believing", every transaction, calculation, and event is logged live as the algorithm runs. This provides a superior user experience because the user can literally see the algorithm in action, allowing for a greater understanding of the algorithm's behaviour, strengths, and weaknesses. The main driver behind this magic comes from the Zipline Live Trading Engine developed by Quantopian, an educational platform for learning quantita
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)