qtrader
Unverified ML strategy on Multi by filangelos. BotFinder score 18 out of 100.
Reinforcement Learning for Portfolio Management
Source: github
BotFinder analysis pending.
qtrader
qtrader Reinforcement Learning for Portfolio Management Why Reinforcement Learning? 1. Learns the optimal action, rather than models the market. 2. Adaptive to temporary changes of the market, due to its online training. 3. Optimizes the long-term (cumulative) reward, rather than the instantaneous benefit. Setup Exclusively Python 3 compatible, because of typings macOS source scripts/setup.sh Documentation Interim Report: Introduction to qtrader Papers Review: Motivation, pros & cons of existing methods Resources: List of relevant resources Final Report: Master's Thesis Presentation: 15 minutes project presentation
⚠ 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)