Stock-Prediction-Neural-Network-and-Machine-Learning-Examples VS FAIG

Compare Stock-Prediction-Neural-Network-and-Machine-Learning-Examples vs FAIG and see what are their differences.

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Stock-Prediction-Neural-Network-and-Machine-Learning-Examples FAIG
3 2
264 144
1.9% -
8.5 3.1
5 months ago 3 months ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

Posts with mentions or reviews of Stock-Prediction-Neural-Network-and-Machine-Learning-Examples. We have used some of these posts to build our list of alternatives and similar projects.

FAIG

Posts with mentions or reviews of FAIG. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-31.
  • Ask HN: How did you get started with trading
    2 projects | news.ycombinator.com | 31 May 2023
    In the past, I was heavily involved in retail trading, navigating the financial waves manually. The realization that I could automate my trading strategies was a game-changer. Eager to optimize my workflow, I dove headfirst into learning Python in a more detailed way and began crafting my trading tools.

    This led me to create FAIG, which you can explore here: https://github.com/tg12/FAIG

    To my surprise, it gathered momentum on Reddit. But take it from me, a lot of the chatter on algotrading is mere noise rather than insightful wisdom.

    But FAIG is not my only creation. I have a treasure trove of other coding repositories where I occasionally unveil some of my custom trading scripts. You can check out one of these at https://github.com/tg12/hft_sig_trend

    Remember, the key is to strategize and then automate. Bring precision and efficiency to your trading.

  • Data on a trading algo I have been working on
    1 project | /r/algotrading | 2 Apr 2021
    Using a slightly modified version of FAIG that I found on Github and a few other public API's I have been working on this. Minor tweaks along the way.

What are some alternatives?

When comparing Stock-Prediction-Neural-Network-and-Machine-Learning-Examples and FAIG you can also consider the following projects:

Stocks-Pattern-Analyzer - This tool should help discover different patterns based on similarity measures in historical (financial) data

LiuAlgoTrader - Framework for algorithmic trading

Beibo - 🤖 Predict the stock market with AI 用AI预测股票市场

Kelp - Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges

The-Oracle - 🤖 Predict the stock market with AI 用AI预测股票市场 [Moved to: https://github.com/ssantoshp/Beibo]

robin_stocks - This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

GLU - An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.

algotrading - Algorithmic trading framework for cryptocurrencies.

deepvision - PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.

TradingGym - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

jesse - An advanced crypto trading bot written in Python

PyTradier - A Python library for interfacing with Tradier.com's trading API.