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Retrieve real-time cryptocurrency data, and execute trading strategies. The code is written in Python and provides customizable options for trading strategies and risk management. Please note that it is important to understand the risks involved in cryptocurrency trading and to exercise caution when using automated trading bots.
This is the repository where I store the programs and projects I've done for the Udacity AI for trading nanodegree. The repository is focusing primarily on two aspects of trading namely Quantitative trading and AI algorithms in trading.
In this Jupyter Notebook file, I fetched data of Tata Motors Ltd. from Yahoo Finance and tried building a simple trading strategy where the decision to buy and sell was decided with the help of moving averages
KeyZones are price levels that act as barriers to price movement. Support levels are prices where buyers are likely to step in and buy, preventing the price from falling further. Resistance levels are prices where sellers are likely to step in and sell, preventing the price from rising further.