Aikido Finance is the leading resource for long term quantitative investment strategies. We provide a catalog of algorithmic trading strategies which have been backtested over 20 years. With Aikido you can build a portfolio in minutes and integrate your broker to live trade a strategy. Our mission is to democratize Wall Street and bring quantitative investing to everyone.

Algorithmic trading or quantitative investing involves making investment decisions using a systematic approach – following a recipe or set of rules based on long term historical evidence. It is the search for above average returns using data. The Aikido catalog is a great resource for quantitative investment strategies.

Most of them are free! You can access Basic investment strategies such as Concentrated Quality and manually trade (follow along in any broker you like). Our mission is to democratize Wall Street. Access to algorithmic trading has traditionally been confined to the elite. We want these investment strategies to be available to everyone. You can get started for free here. If you are interested in live-trading/premium strategies, you can upgrade from our plans page

Premium Aikido members can integrate their broker to live-trade any algorithmic trading strategy (makes it 10X easier/faster to build a portfolio). Currently we support Interactive Brokers for stocks, and Binance, Kraken, FTX, Kucoin, and Coinbase for cryptocurrencies. We will be introducing more brokers/exchanges throughout 2022. NOTE: You can follow along with any broker you like when you manually trade a strategy.

We currently add investment strategies on a monthly basis after an extensive in-house research period. Our strategies are thoroughly researched to ensure that they are simple to understand and provide good risk-adjusted and diversified performance. Our investment strategies are based on peer reviewed research that has been published in reputable academic journals. We always provide detailed references to the original author's work for each strategy.

Our automated algorithmic trading strategies cover stocks and cryptocurrencies. We will be expanding our universe in the coming months to include global scope and ETFs.

A good investment strategy should have a clearly defined thesis. For example: “This year, I will be implementing the Top Quality and High Momentum strategy. I will be investing $5000 in the strategy. These stocks have high return on equity and price momentum. I will create a 20 stock portfolio using the investment strategy and invest an additional $500 each month. This strategy has averaged a return of 16.10% over the past 20 years.“

The best long term investment strategies utilize investing factors such as value, dividend, quality, size, or volatility. Factor investing involves selecting stocks based on the characteristics which best explain returns. The benefits of factor investing include risk management, diversification and outperformance. Some sample investment strategies are Superior and Steady Stocks, The Stable Dividend, Microcap Momentum.

Backtesting is a method for seeing how well an algorithmic trading strategy strategy would have done historically. It is the process of testing a trading strategy over prior time periods. It is used by many different kinds of quantitative investors including day-traders, algo-traders and factor investors.