How to Make a Stock Screener in Python - COMPLETE Coding Tutorial
#stockscreener #technicalanalysis #analystrating #python #coding
0:00 Get Tickers in S&P 500
1:50 Technical Analysis Custom Functions
8:09 Algorithm Logic
10:50 Back Testing
13:35 Visualize Algorithm
14:37 Stock Screener in Action!
Let's create a stock screener in python that leverages mean reversion and momentum to generate buy and sell signals on all stocks in the S&P 500. We will also use analyst ratings to filter out stocks to buy only if sentiment is bullish.
This coding video walks you through data collection using yahoo finance in python, derive technical analysis through custom python functions, create logic for buy and sell conditions, and create a back testing function to compare the performance of our algorithm to the buy and hold strategy.
The top three best back testing performance stocks for this stock screener algorithm are $HAL, $MHK, and $WYNN. The bottom three stocks the algorithm performed on were hyper growth stocks like $PLTR, $SMCI, and $NVDA.
This coding tutorial helps with:
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