Mostly experiments based on "Advances in financial machine learning" book.
Rachnog/Advanced-Deep-Trading is ranked 16,807 with 571 stars.
Rachnog/Advanced-Deep-Trading is ranked 16,807 among these 8 peers; jackaduma/CycleGAN-VC2 is ranked 16,813.
| Name | Rank | Metrics |
|---|---|---|
| rohanarun/phoneclaw | 16,770 |
|
| erwold/qwen2vl-flux | 16,787 |
|
| lehhair/OpenCodeUI | 16,792 |
|
| leptonai/imgpilot | 16,793 |
|
| jackaduma/CycleGAN-VC2 | 16,813 |
|
| SouthBridgeAI/offmute | 16,822 |
|
| kijai/ComfyUI-Marigold | 16,831 |
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| PatrickLib/captcha_recognize | 16,844 |
|
| Parameter | Value |
|---|---|
| Language | Jupyter Notebook |
| Category | Applications |
| Subcategory | Specialists |
| Keywords | Finance, Trading |
| Stars | 571 |
| Forks | 222 |
| Contributors | 2 |
| Created date | 2019-02-16 |
| Updated date | 2026-10-12 |
| Stars in 1 day | 0 |
| Stars in 7 days | 1 |
| Rank | 16,807 |
| Previous rank | 16,597 |
| Rank change | -210 |
| 7-day stars rank | 11,309 |
| Previous 7-day stars rank | 11,368 |
| 7-day stars rank change | 59 |
| Total stars rank | 17,456 |
| Previous total stars rank | 17,426 |
| Total stars rank change | -30 |
| Country | Spain |
Advanced-Deep-Trading Experiments based on the Lopez de Prado book "Advances in financial machine learning": Rethinking "normal" machine learning from areas like CV, NLP and others in order to make it work with data with stochastic nature like financial time series.
Rachnog/Advanced-Deep-Trading has 571 stars and 222 forks.
Rachnog/Advanced-Deep-Trading is ranked 16,807.
Rachnog/Advanced-Deep-Trading has 571 stars, uses Jupyter Notebook and belongs to Applications.
Rachnog/Advanced-Deep-Trading is compared with jackaduma/CycleGAN-VC2, ranked 16,813 with 571 stars.
Experiments based on the Lopez de Prado book "Advances in financial machine learning": https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482086. Rethinking "normal" machine learning from areas like CV, NLP and others in order to make it work with data with stochastic nature like financial time series.