Stock portfolio with clear performance graph.
Most of stock portfolios will look like example below.
Portfolio seems to be growing, but at this case, all the growth you can see are mostly deposits.
That's why I have designed and coded this Python stock portfolio, that excludes deposits and profit is based purely on stock price movement and paid dividends.
With moneyChamber you will receive much clearer overview on performance of your portfolio.
- Clone this repository to your local machine using
git clone https://github.com/hmelino/moneyChamber.git
moneyChamber require worldtradingdata api key to download and process history stock prices.
FREE api key can be obtained on worldtradingdata.com
- All stock data are being imported from file statement.txt which looks like :
1 POS123456789 2019.04.29 12:36 Buy 69 VUKE 32.4349 32.17 -18.28 0
2 POS123456788 2018.10.26 10:02 Buy 1 VMID 29.435 33.305 3.87 0
3 POS123456787 2018.12.10 10:00 Buy 5 PSN 2213.6 3054 42.02 0
- This statement can be recieved as monthly Trading212 email statement, or can be manually added/adjusted.
Import the package
from moneyChamber import PorfolioInitialize new object with Portfolio() function and use path to your .txt statement as argument
retirementPortfolio = moneyChamber.Portfolio('statement.txt')Add your World Trading Data api key
retirementPortfolio.apiKey='your_own_world_trading_data_api_key'Optionally you can load your paid dividends file.
]
retirementPortfolio.loadDividends('dividends.txt')When all files are loaded, you can plot graph using showGraph() function
retirement.showGraph()To import details about paid dividends into moneyChamber, please save them in JSON style as seen below.
{"name_of_stock":{"date_when_dividend_was_recieved":total_amount_recieved}
{"VUKE": {"2019-06-29": 5.32, "2019-10-16": 9.23, "2020-01-02": 14.36},
"VMID": {"2018-12-26": 0.22, "2019-03-27": 0.15}}MoneyChamber will automatically calculate dividend yeld and payment received per individual stock.
My github portfolio
https://github.com/hmelinoIf you have got any issues or ideas for this package, or just wanna say hello :), email me at [email protected]