#tradingstrategy #python #algorithmictrading #probability #optionstrading
00:00 - 02:45 Gather Historic Price Data
02:45 - 10:40 Code Conditional Expectation of Stock Returns
10:40 - 13:42 Option Trading Strategies
Conditional Expectation in probability theory is the expected mean value respective to a given scenario. We have calculated the conditional probability of weekly stock price movement given the previous week's stock price action. So, what if we calculated the Conditional Expected Stock Return of this week given the stock percent change from last week?
In this coding video, we calculate the weekly Conditional Expected stock price action given the price change last week. These statistics can help financial models, machine learning, and AI model forecast and predict future stock prices. I also review some potential option trading strategies using these conditional expected values.
Check out Conditional Probability in Python: https://www.youtube.com/watch?v=oy4NlUaUD7M&t=37s
Check out Probability Distribution in Python: https://www.youtube.com/watch?v=a0rcZkJP4RQ
Intrendias is not financial advice.
