# Netanelshoshan/freqAI-LSTM

<https://repo.masters-masters.com/en/repos/Netanelshoshan/freqAI-LSTM>

[Home](https://repo.masters-masters.com/en) › [Netanelshoshan](https://repo.masters-masters.com/en/owners/Netanelshoshan) › [freqAI-LSTM](https://repo.masters-masters.com/en/repos/Netanelshoshan/freqAI-LSTM)

Netanelshoshan/freqAI-LSTM has 326 stars on GitHub. Its RepoMasters card: Alpha tier. A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring…

| Field | Value |
| --- | --- |
| Owner | [Netanelshoshan](https://repo.masters-masters.com/en/owners/Netanelshoshan) |
| Stars | 326 |
| Forks | 107 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | lstm-neural-networks, regression-models |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Netanelshoshan/freqAI-LSTM](https://github.com/Netanelshoshan/freqAI-LSTM) |

## Repository

A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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