All Projects → JamesBrofos → Odin

JamesBrofos / Odin

Licence: MIT license
Algorithmic trading infrastructure in Python.

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Odin

Zvt
modular quant framework.
Stars: ✭ 1,801 (+1836.56%)
Mutual labels:  stock-market, trading-platform, algorithmic-trading
Quantdom
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
Stars: ✭ 449 (+382.8%)
Mutual labels:  stock-market, trading-platform, algorithmic-trading
Paperbroker
An open source simulated options brokerage and UI for paper trading, algorithmic interfaces and backtesting.
Stars: ✭ 173 (+86.02%)
Mutual labels:  stock-market, algorithmic-trading
Exchange Core
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Stars: ✭ 801 (+761.29%)
Mutual labels:  stock-market, trading-platform
LiuAlgoTrader
Framework for algorithmic trading
Stars: ✭ 514 (+452.69%)
Mutual labels:  trading-platform, algorithmic-trading
Pyex
Python interface to IEX and IEX cloud APIs
Stars: ✭ 311 (+234.41%)
Mutual labels:  stock-market, algorithmic-trading
Algotrader
Simple algorithmic stock and option trading for Node.js.
Stars: ✭ 468 (+403.23%)
Mutual labels:  stock-market, algorithmic-trading
Sibyl
Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks
Stars: ✭ 32 (-65.59%)
Mutual labels:  stock-market, algorithmic-trading
stockbot
Alpaca algo stock trading bot
Stars: ✭ 105 (+12.9%)
Mutual labels:  stock-market, algorithmic-trading
Robinhood Playground
Stars: ✭ 96 (+3.23%)
Mutual labels:  stock-market, algorithmic-trading
Aat
Asynchronous, event-driven algorithmic trading in Python and C++
Stars: ✭ 109 (+17.2%)
Mutual labels:  stock-market, algorithmic-trading
Financial Machine Learning
A curated list of practical financial machine learning tools and applications.
Stars: ✭ 2,172 (+2235.48%)
Mutual labels:  stock-market, algorithmic-trading
robinhood.tools
📈🤑💰 Advanced trading tools and resources for Robinhood Web.
Stars: ✭ 27 (-70.97%)
Mutual labels:  stock-market, algorithmic-trading
financial-asset-comparison-tool
R Shiny app to compare the relative performance of cryptos and equities.
Stars: ✭ 97 (+4.3%)
Mutual labels:  stock-market, equities
Sumzerotrading
A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets
Stars: ✭ 128 (+37.63%)
Mutual labels:  stock-market, trading-platform
Fooltrader
quant framework for stock
Stars: ✭ 960 (+932.26%)
Mutual labels:  stock-market, trading-platform
plutus-algo-backtesting
Algorithmic Trading : A python framework to run backtest on stocks using your own custom algorithmic strategies
Stars: ✭ 28 (-69.89%)
Mutual labels:  stock-market, algorithmic-trading
pyEX
Python interface to IEX and IEX cloud APIs
Stars: ✭ 407 (+337.63%)
Mutual labels:  stock-market, algorithmic-trading
Algobot
A C++ stock market algorithmic trading bot
Stars: ✭ 78 (-16.13%)
Mutual labels:  stock-market, algorithmic-trading
Robinhood
Unofficial Documentation of Robinhood Trade's Private API
Stars: ✭ 1,569 (+1587.1%)
Mutual labels:  stock-market, algorithmic-trading

Odin 1.3

A algorithmic trading platform developed in Python. The platform is built to support both research-driven backtesting as well as production deployment for live trading. Odin can be used for either live trading through Interactive Brokers or simulated backtesting. The software currently exists in an alpha state and is actively seeking developers to add features and fix programmatic errors.

This software is provided under the MIT license.

Features

  • Backtesting Odin was written with backtesting in mind and it is therefore possible to accurately evaluate strategies on historical data while correctly accounting for transaction costs and commission fees.
  • Event-Driven Architecture In order to interface more closely with a live-trading system, Odin uses an event-driven architecture rather than a vectorized one. This allows the same strategy implementations in Odin to be utilized in both simulated and live trading.
  • Integration with IB Odin is built to interface with Interactive Brokers (IB) to execute live trades. As such you can write strategies, backtest them, and deploy them to live trading, all within Odin.
  • PostgreSQL Database Odin integrates with its own PostgreSQL database to store information on symbols, price data vendors, historical prices, dividends, stock splits, and volumes. This allows data to be served to Odin directly from the filesystem rather than across an internet connection. Odin will also store positions created in live trading for compliance and verification purposes.
  • Performance Metrics Odin provides a number of performance metrics such as the Sharpe ratio, drawdown, and drawdown duration in order to characterize the performance of backtested portfolios. Odin will also compute measures of equity utilization, such as the average number of positions, to characterize idleness of funds.
  • Fund Simulation Odin can also simulate funds consisting of multiple portfolios trading their own strategies. For funds, Odin can also perform portfolio equity rebalancing to prevent the equity levels from becoming too lopsided toward a few strategies. Furthermore, Odin will also deduct management fees from the equity levels if so desired.
  • Low-Level Control Odin allows the user to wield low-level control over the way data is processed. Odin provides control over which ticker symbols are traded, how much equity is transacted in taking up a position, as well as abstract templates that allow users of the software to define their own handlers for use in trading.

Please refer to CONTRIBUTING.md for instructions on how you can contribute to Odin yourself!

Installation

First, download Odin's source code from this repository. Then, to install the library from source for development purposes, execute the command:

sudo python3 setup.py install

Odin's and Odin Securities' requirements can be installed by navigating into the odin directory and then executing the command:

pip3 install -r requirements.txt

In addition to Odin itself, using the software will also require you to install Odin's accompanying database Odin Securities. Please refer to the referenced Github page for instructions on building and updating the Odin Securities database.

Citations

Many thanks go to Michael Halls-Moore for originally getting me interested in quantitative finance via his website Quantstart. Certain components of Odin were drawn originally (or heavily inspired by) his tutorial series on how to build an event-driven backtester as well as his backtesting environment QSTrader.

Please refer to the LICENSE file for information on copyright and rights granted to users of the software.

Trading Disclaimer

Trading equities on margin carries a high level of risk, and may not be suitable for all investors. Past performance is not indicative of future results. The high degree of leverage can work against you as well as for you. Before deciding to invest in equities you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with equities trading, and seek advice from an independent financial advisor if you have any doubts.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].