Learn how to research fundamental factors using Pipeline, Alphalens, and Sharadar price and fundamental data. Demonstrates factor engineering techniques, exploratory data analysis (EDA), Alphalens tear sheet interpretation, sector neutralization, macro analysis, creating multi-factor scores, and more.
Pairs trading strategy for Moonshot that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for cointegration using the Johansen test, then runs in-sample backtests on all cointegrating pairs, then runs an out-of-sample backtest on the 5 best performing pairs. Calculates daily hedge ratios using the Johansen test and times entries and exits using Bollinger Bands.
Intraday FX strategy that exploits the tendency of currencies to depreciate during local business hours and appreciate during foreign business hours. Uses EUR.USD with hourly data from Interactive Brokers. Runs in Moonshot. Interactive Brokers account required but no QuantRocket subscription required.
Machine learning strategy that trains the model using 'everything and the kitchen sink': fundamentals, technical indicators, returns, price levels, volume and volatility spikes, liquidity, market breadth, and more. Runs in Moonshot. Utilizes data from Sharadar and Interactive Brokers.
Value strategy for US stocks modeled on Alpha Architect's QVAL ETF, using enterprise multiple and Piotroski F-Score to target cheap, high-quality stocks. Utilizes Sharadar fundamental and price data. Runs in Moonshot.
Intraday trading strategy for futures calendar spreads. Uses crude oil futures and 1-minute bid/ask bars from Interactive Brokers with a Bollinger Band mean reversion strategy. Runs in Moonshot. Demonstrates using exchange native spreads for live/paper trading, and non-native spreads for backtesting. Interactive Brokers account required but no QuantRocket subscription required for backtesting.
Long-only momentum strategy modeled on Alpha Architect's QMOM ETF, selecting stocks with the smoothest momentum and rebalancing the portfolio before quarter end to capture a window-dressing seasonality effect.
Value/Momentum/Trend strategy modeled on Alpha Architect's VMOT ETF. This repository provides the trend strategy and walks through backtesting the value, momentum, and trend strategies in tandem. For the value and momentum strategies, see the qval and qmom repositories.
Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and holds until the close. From Ernie Chan's book Algorithmic Trading. Uses 1-minute data from QuantRocket. Runs in Moonshot.
Intraday momentum strategy that buys (sells) the S&P 500 when the first half hour return and penultimate half hour return are both positive (negative). Uses VIX filter to restrict strategy to high volatility regimes. Uses 1-minute SPY data from QuantRocket and 30-minute VIX data from Interactive Brokers. Runs in Moonshot.
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In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action. Neither QuantRocket LLC nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to QuantRocket LLC about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. QuantRocket LLC makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. Past performance is not indicative of future results.
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