deependersingla/deep_trader
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3735
- days_rel: n/a
- days_push: 3145
- n_releases_24m: 0
Adoption not part of the score
1499 stars · 496 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python research project applying deep reinforcement learning (DQN and policy gradient methods) to stock market trading, exploring whether an agent can learn to read tape. It uses TensorFlow to train trading agents on historical market data.
Use cases
- train a reinforcement learning agent to trade stocks
- experiment with DQN on financial time series
- learn how policy gradient methods apply to trading
- reproduce reinforcement learning trading research
- explore whether RL can learn tape reading
When to choose
- you want a reference implementation of DQN or policy gradients for trading research
- you are studying reinforcement learning applied to market data
- you want a small educational codebase to extend with your own RL experiments
When to avoid
- you need production-ready or maintained trading software
- you require a supported license for commercial use
- you expect active development or author support
- you need a robust backtesting framework with modern tooling
Facets
application · maturity abandoned
reinforcement-learning machine-learning trading reinforcement-learning fintech machine-learning python dqn policy-gradient tensorflow stock-trading tape-reading research-project
1 source
- readme: https://github.com/deependersingla/deep_trader · fetched 2026-08-28 · c6b04f1920ad
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| deependersingla/deep_trader | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="deependersingla/deep_trader")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem