pyinvestingsnippets + plotly = AWESOME

The last several months I have been extending pyinvestingsnippets. Some of the changes include:

• Renamed extensions to fit common financial jargon
• Added support for dataframes
• Added support for plotly
• Included fantastic matplotlib and plotly examples

Run the examples

To run the examples, clone v3.0.0 and follow the README.md guidelines.

Currently the examples generate asset prices based on the random walk hypothesis (Brownian Motion)! This is great for a "look and feel" of the tool. If you want to try the examples with your own symbols then change the ASSET_TICKERS & BENCHMARK_TICKERS and replace the random price generator with the yahoo finance price DataReader.

Future Plans

The journey doesn't stop here! I'm planning to extend pyinvestingsnippets even more by introducing:

• more portfolio benchmarking metrics
• support of inflation & risk free rates
• etc.

What would you like so see more? Send me your thoughts...