Rumblejo247

Reviewing more of your stock ideas and providing insights & analyses to help dissect high v. low quality stock setups.

Working with larger datasets usually calls for using tools like Apache Spark and its integrated ML pipelines.

Implementing a hedging strategy in Python to estimate risk-reward profiles of different securities.

Demonstrating a custom built k-means clustering algorithm in Python to be used in business applications.

Using Python to filter the universe of tradeable stocks into a select few high quality stocks to add to a watchlist.

Extracting SEC filings using Python and doing a keyword search.

Extracting SEC filings using Python.

Showing python code used to generate a trading backtester for a portfolio of stocks.

Creating a rolling calculator for volume accumulation for a portfolio of stocks to help spot potential trend reversals.

Reviewing python code for a stock trading application.

Showcasing a logistic regression model build in Python.

Building a Keras-based Neural Network model in Python