{
"info": {
"author": "Justin Spahr-Summers",
"author_email": "justin@jspahrsummers.com",
"bugtrack_url": null,
"classifiers": [
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"Environment :: Console",
"Framework :: Jupyter",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Office/Business :: Financial :: Investment",
"Typing :: Typed"
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"description": "# bankroll [](https://badge.fury.io/py/bankroll) [](https://circleci.com/gh/bankroll-py/bankroll)\n\nCommand line interface and notebook utilities to **ingest portfolio and other data from multiple brokerages, and analyze it**.\n\nThis is the frontend to the [bankroll](https://github.com/bankroll-py) project, which is comprised of several libraries that can also be used on their own.\n\n**Table of contents:**\n\n1. [Installation](#installation)\n1. [Connecting to brokers](#connecting-to-brokers)\n 1. [Interactive Brokers](#interactive-brokers)\n 1. [Charles Schwab](#charles-schwab)\n 1. [Fidelity](#fidelity)\n 1. [Vanguard](#vanguard)\n 1. [(your broker here)](#your-broker-here)\n1. [Saving configuration](#saving-configuration)\n1. [Extending `bankroll`](#extending-bankroll)\n\n# Installation\n\nTo install the `bankroll` command line utility, select from [the list of available brokerage plugins](https://github.com/bankroll-py?q=bankroll-broker-), and run `pip install` with those brokerages listed as [extras](https://packaging.python.org/tutorials/installing-packages/#installing-setuptools-extras).\n\nFor example, to install `bankroll` with support for [Interactive Brokers](#interactive-brokers) and [Charles Schwab](#charles-schwab):\n\n```\npip3 install bankroll[ibkr,schwab]\n```\n\nOr from the repository root, if you have cloned the code:\n\n```\npip3 install .[ibkr,schwab,fidelity]\n```\n\nOnce installed (and presuming your Python path is set up correctly), the command line tool can be invoked directly:\n\n```\nbankroll --help\n```\n\n# Connecting to brokers\n\nAfter being set up, `bankroll` can be used from the command line to bring together data from multiple brokerages.\n\nFor example, to show all positions held in both Interactive Brokers and Charles Schwab:\n\n```\nbankroll \\\n --ibkr-tws-port 7496 \\\n --schwab-positions ~/Positions-2019-01-01.CSV \\\n --schwab-transactions ~/Transactions_20190101.CSV \\\n positions\n```\n\nRun with `--help` to see all options:\n\n```\nbankroll --help\n```\n\n## Interactive Brokers\n\n[Interactive Brokers](http://interactivebrokers.com) (sometimes abbreviated as IB or IBKR) offers a well-supported [API](https://interactivebrokers.github.io/), which\u00e2\u20ac\u201dalong with [ib_insync](https://github.com/erdewit/ib_insync)\u00e2\u20ac\u201dmakes it possible to load up-to-date portfolio data and request real-time information about particular securities.\n\nFor `bankroll`, this functionality is implemented via the [bankroll-broker-ibkr](https://github.com/bankroll-py/bankroll-broker-ibkr) plugin:\n```\npip3 install bankroll[ibkr]\n```\n\nTo load data from Interactive Brokers, [one of IB's trading applications](https://interactivebrokers.github.io/tws-api/initial_setup.html)\u00e2\u20ac\u201dTrader Workstation or IB Gateway\u00e2\u20ac\u201dmust be running and logged-in to accept API connections. You may wish to use [IBC](https://github.com/IbcAlpha/IBC) to automate the startup and login of these applications.\n\nOnce Trader Workstation or IB Gateway is running, and [API connections are enabled](https://interactivebrokers.github.io/tws-api/initial_setup.html#enable_api), provide the local port number to `bankroll` like so:\n\n```\nbankroll \\\n --ibkr-tws-port 7496 \\\n [command]\n```\n\n### Querying trade history\n\nIB's [Trader Workstation API](https://interactivebrokers.github.io/tws-api/) does not support retrieving information about an account's historical trades, so `bankroll` must use their [Flex Web Service](https://www.interactivebrokers.com/en/software/am/am/reports/flex_web_service_version_3.htm).\n\nTo set this up, log in to [Account Management](https://www.interactivebrokers.com/portal), then browse to _Settings_ \u00e2\u2020\u2019 _Account Settings_ in the sidebar:\n\n![\"Account](\"https://user-images.githubusercontent.com/432536/55676482-17f5c200-58ce-11e9-8560-a42fe755752b.png\")
\n\nIn the _Reporting_ section of this page, click the gear to configure _Flex Web Service_:\n\n![\"Flex](\"https://user-images.githubusercontent.com/432536/55676518-b124d880-58ce-11e9-802c-842d1e17dd42.png\")
\n\n**Once configured, copy the _Current Token_ for use on the command line.**\n\nThen, you must save a query for `bankroll` to use. Back in the sidebar, browse to _Reports_ \u00e2\u2020\u2019 _Flex Queries_:\n\n![\"Flex](\"https://user-images.githubusercontent.com/432536/55676496-4ffd0500-58ce-11e9-9a2b-d530b2d0c5c9.png\")
\n\nClick the gear to configure _Custom Flex Queries_:\n\n![\"Custom](\"https://user-images.githubusercontent.com/432536/55676519-b124d880-58ce-11e9-901d-0482d2e0e1cf.png\")
\n\nCreate a new Trade Confirmation Flex Query Template:\n\n![\"Trade](\"https://user-images.githubusercontent.com/432536/55676520-b124d880-58ce-11e9-9c2b-17b41e8a2fff.png\")
\n\nPick a name of your choosing, then make sure the _Date Period_ reflects the historical period you care about (e.g., _Last 365 Calendar Days_):\n\n![\"Trade](\"https://user-images.githubusercontent.com/432536/55676521-b124d880-58ce-11e9-8b15-0232fd7ba795.png\")
\n\nUnder _Sections_, click _Trade Confirmations_ and enable everything in the dialog which appears:\n\n![\"Trade](\"https://user-images.githubusercontent.com/432536/55676522-b124d880-58ce-11e9-997b-2129101cdd08.png\")
\n![\"Trade](\"https://user-images.githubusercontent.com/432536/55676517-b124d880-58ce-11e9-93d0-dbee91862c04.png\")
\n\n**After saving your query, expand it in the list to view and copy the _Query ID_ for use on the command line.**\n\nWith the token and the query ID from your account, historical trades can be downloaded:\n\n```\nbankroll \\\n --ibkr-flex-token [token] \\\n --ibkr-trades [query ID] \\\n activity\n```\n\n### Querying dividend history\n\n_This workflow [will be simplified](https://github.com/bankroll-py/bankroll/issues/36) in the future._\n\nTo incorporate the history of dividend payments in your portfolio, follow the same steps for the [Trade Confirmation Flex Query](#querying-trade-history), but create an Activity Flex Query instead.\n\nThe only section which needs to be enabled is _Change in Dividend Accruals_:\n\n![\"Activity](\"https://user-images.githubusercontent.com/432536/57235238-5809ab00-701a-11e9-84c0-6abcf3f2cb93.png\")
\n\nPass your existing token, and the new query's ID, on the command line:\n\n```\nbankroll \\\n --ibkr-flex-token [token] \\\n --ibkr-activity [query ID] \\\n activity\n```\n\n## Charles Schwab\n\n[Charles Schwab](https://www.schwab.com) does not offer an API, but it does provide [CSV](https://en.wikipedia.org/wiki/Comma-separated_values) files for export, which `bankroll` can then import.\n\nThis functionality is implemented via the [bankroll-broker-schwab](https://github.com/bankroll-py/bankroll-broker-schwab) plugin:\n```\npip3 install bankroll[schwab]\n```\n\nBrowse to the \"Positions\" and/or \"Transactions\" screen:\n\n![\"Positions](\"https://user-images.githubusercontent.com/432536/55676591-dfef7e80-58cf-11e9-91e1-845caf625e85.png\")
\n\nClick the \"Export\" link in the top-right:\n\n![\"Export\"](\"https://user-images.githubusercontent.com/432536/55676579-825b3200-58cf-11e9-8626-793d1d465e70.png\")
\n\nThen provide the paths of either or both these downloaded files to `bankroll`:\n\n```\nbankroll \\\n --schwab-positions ~/path/to/Positions.CSV \\\n --schwab-transactions ~/path/to/Transactions.CSV \\\n [command]\n```\n\n## Fidelity\n\n[Fidelity](https://www.fidelity.com) is supported through a similar facility as [Schwab](#charles-schwab).\n\nThis functionality is implemented via the [bankroll-broker-fidelity](https://github.com/bankroll-py/bankroll-broker-fidelity) plugin:\n```\npip3 install bankroll[fidelity]\n```\n\n* To export position data, [download from the Portfolio Positions page](https://www.fidelity.com/webcontent/ap002390-mlo-content/18.09/help/learn_portfolio_positions.shtml#canidownload).\n* To export transactions data, [download from the History page](https://www.fidelity.com/customer-service/faqs-exporting-account-information#).\n\nMore detailed instructions have yet to be written\u00e2\u20ac\u201d[contributions welcome](CONTRIBUTING.md)!\n\n## Vanguard\n\n[Vanguard](https://investor.vanguard.com) is a **work in progress**, and may not be as fully-featured as the other brokerages listed here. Support is being developed in the [bankroll-broker-vanguard](https://github.com/bankroll-py/bankroll-broker-vanguard) plugin:\n\n## (your broker here)\n\n`bankroll` intends to abstract away broker-specific details as much as possible, to minimize the work required to support each one, so if your broker isn't listed above, please consider [building a new brokerage plugin](https://github.com/bankroll-py/bankroll-broker)! We want the list to grow over time, because it's extremely useful to be able to aggregate and analyze data across multiple brokers at once.\n\nTo add a new brokerage, create a new subclass of [`AccountData`](https://github.com/bankroll-py/bankroll-broker/blob/v0.4.0/bankroll/broker/account.py), then implement the methods as required by the interface. As long as the new subclass is loaded at runtime, it will be automatically included in functionality like [data aggregation](https://github.com/bankroll-py/bankroll-broker/blob/v0.4.0/bankroll/broker/aggregator.py).\n\nIf the brokerage offers a facility to load market data, consider extending the [bankroll-marketdata](https://github.com/bankroll-py/bankroll-marketdata) interfaces as well (though this is optional).\n\n# Saving configuration\n\nTo preserve settings across runs, all of the command-line arguments demonstrated above can also be saved into an [INI file](https://docs.python.org/3/library/configparser.html#supported-ini-file-structure). The configuration file is especially useful to store default values, because when a setting is specified in a configuration file _as well as_ on the command line, the command-line argument will take precedence.\n\nTo create a configuration, copy [`bankroll.default.ini`](bankroll/interface/bankroll.default.ini) to `~/.bankroll.ini`, or leave it in your working directory as `bankroll.ini`, then edit the file to apply your desired settings.\n\nIf you would like to store the configuration somewhere else, you can also provide custom paths via the `--config` argument on the command line.\n\n# Extending `bankroll`\n\nAlthough the command-line interface exposes a basic set of functionality, it will never be able to capture the full set of possible use cases. For much greater flexibility, you can write Python code to use `bankroll` directly, and build on top of its APIs for your own purposes.\n\nFor some examples, [see the included notebooks](notebooks/).\n\n\n",
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