# Congyuwang/AlphaNetV3

<https://repo.masters-masters.com/en/repos/Congyuwang/AlphaNetV3>

[Home](https://repo.masters-masters.com/en) › [Congyuwang](https://repo.masters-masters.com/en/owners/Congyuwang) › [AlphaNetV3](https://repo.masters-masters.com/en/repos/Congyuwang/AlphaNetV3)

Congyuwang/AlphaNetV3 has 126 stars on GitHub. Its RepoMasters card: Prototype tier. Recurrent Neural Network for predicting Stock Returns Language: Python.

| Field | Value |
| --- | --- |
| Owner | [Congyuwang](https://repo.masters-masters.com/en/owners/Congyuwang) |
| Stars | 126 |
| Forks | 59 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | neural-network, machine-learning, time-series, stock-returns-forecasting |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Congyuwang/AlphaNetV3](https://github.com/Congyuwang/AlphaNetV3) |

## Repository

Recurrent Neural Network for predicting Stock Returns

Archived: this repository is read-only

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [markklab1903d9/CS2-FPS-Optimizer-Performance-Boost-Lag-Fix-Tool-2026 · ★ 126 · Python · Prototype](https://repo.masters-masters.com/en/repos/markklab1903d9/CS2-FPS-Optimizer-Performance-Boost-Lag-Fix-Tool-2026)
- [sanjayadanushka712/Dracula-Deep · ★ 126 · Python · Prototype](https://repo.masters-masters.com/en/repos/sanjayadanushka712/Dracula-Deep)
- [tuotuoLyu/FPO · ★ 126 · Python · Prototype](https://repo.masters-masters.com/en/repos/tuotuoLyu/FPO)
- [agiliq/Dinette · ★ 126 · Python · Prototype](https://repo.masters-masters.com/en/repos/agiliq/Dinette)
- [miracle2k/android2po · ★ 126 · Python · Prototype](https://repo.masters-masters.com/en/repos/miracle2k/android2po)
- [deldotdr/txRedis · ★ 126 · Python · Prototype](https://repo.masters-masters.com/en/repos/deldotdr/txRedis)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.