SarthakV7/Artificial-intelligence-for-trading

Udacity nanodegree: AI for Trading

25
/ 100
Experimental

This project helps quantitative traders and financial analysts develop and test automated trading strategies. It takes historical market data, company financials, and other quantitative inputs to generate trading signals, optimize portfolios, and backtest performance. The end result is a validated strategy that can be used for making investment decisions.

No commits in the last 6 months.

Use this if you are a quantitative trader or analyst looking to design, test, and optimize data-driven strategies for stock trading and portfolio management.

Not ideal if you are a casual investor looking for simple buy/sell recommendations or if you prefer fundamental analysis over quantitative methods.

quantitative-trading portfolio-optimization momentum-strategy backtesting algorithmic-trading
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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Last pushed

Apr 12, 2021

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