IntroNeuralNetworks and stock-trading-ml

IntroNeuralNetworks
51
Established
stock-trading-ml
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 774
Forks: 209
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 665
Forks: 257
Downloads:
Commits (30d): 0
Language: Python
License: GPL-3.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About IntroNeuralNetworks

VivekPa/IntroNeuralNetworks

Introducing neural networks to predict stock prices

This project helps individual traders and quantitative analysts understand and apply neural networks to predict stock prices. It takes historical stock price data, primarily from Yahoo Finance, and outputs future price predictions. The target users are beginners in quantitative finance or machine learning who want to build foundational knowledge in predictive modeling for financial markets.

quantitative-finance stock-prediction financial-modeling market-analysis algorithmic-trading

About stock-trading-ml

yacoubb/stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

This project helps individual investors automate stock trading decisions. It takes historical stock price data and applies machine learning to predict future price movements. The output is a trading signal (buy/sell/hold) that can be executed by the bot. This is for self-directed investors or hobbyist traders looking to integrate predictive analytics into their personal trading strategies.

algorithmic-trading stock-market personal-investing price-prediction quantitative-trading

Scores updated daily from GitHub, PyPI, and npm data. How scores work