investment-research

Investigation into different trading strategies for personal use. Machine learning using TensorFlow and Keras, data sourced from Quandl and Quantopian.

finance

View on GitHub

9 Stars

2 Forks

9 Watchers

Python Language

Cost to Build

$506

Market Value

$500

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2023-02-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about investment-research

Question copied to clipboard

What is the lpang36/investment-research GitHub project? Description: "Investigation into different trading strategies for personal use. Machine learning using TensorFlow and Keras, data sourced from Quandl and Quantopian.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone investment-research

Clone via HTTPS

git clone https://github.com/lpang36/investment-research.git

Clone via SSH

[email protected]:lpang36/investment-research.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the investment-research issue tracker:

Open GitHub Issues

Similar to investment-research

vnpy tushare dash rqalpha ta-lib-python Lean awesome-quant StockSharp math-php firefly-iii awesome-quant bulbea akaunting gooderp_addons pandas-datareader yahoo-finance alphalens fooltrader go-finance alpha_vantage moneymanagerex fecon235 Strata grs quantmod IEX-API Blog economizzer receipt-parser parity