Context I like the idea of building passive income. There are many ways out there and one conservative way that has worked since ages is to invest in dividend paying assets. But you never know which one to pick with a good risk/reward ratio. I thought it would be great to have all the data available to have a data driven decision. Content The data is a snapshot of all tradable instruments on robinhood.com by using their API. When I do my research I like to also go through the data on dividend.com, so crawled their website to merge it with the symbols I already got from robinhood.com. I documented and published the script how to create a new snapshot in [this repository](https://github.com/jonnylangefeld/dividend-data-download). Please refer to [the notebook](https://github.com/jonnylangefeld/dividend-data-download/blob/master/download-dividend-data.ipynb) if you want to create your own snapshot. I recommend to use the pickle file (`instruments.p`) with `pd.read_pickle('../input/instruments.p')` because the data is already prepared and in the right shape and order. If you are an R user, you can still read the data with the `instruments.json` file. Acknowledgements Thanks to robinhood.com and dividend.com for providing this data publicly. Inspiration Which stocks do have the best risk/reward ratio? Data description Content Checkout the [repository](https://github.com/jonnylangefeld/dividend-data-download) for a detailed description of each column