SP
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
673 125 +0/wk
GitHub
crypto cryptocurrency deep-learning deep-neural-networks finance jupyter-notebook lstm lstm-model lstm-neural-networks machine-learning market-data recurrent-neural-networks
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
JordiCorbilla/stock-prediction-deep-neural-learning has +0 stars this period . 7-day velocity: -0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | stock-prediction-deep-neural-learning | disco_rl | ClawBio | irl-imitation |
|---|---|---|---|---|
| Stars | 673 | 673 | 673 | 672 |
| Forks | 125 | 54 | 122 | 147 |
| Weekly Growth | +0 | +0 | +16 | +0 |
| Language | Jupyter Notebook | Python | HTML | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | CC0-1.0 | Apache-2.0 | MIT | N/A |
Capability Radar vs disco_rl
stock-prediction-deep-neural-learning
disco_rl
Maintenance Activity 46
Last code push 101 days ago.
Community Engagement 93
Fork-to-star ratio: 18.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under CC0-1.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.