quantiacs Goto Github PK
Name: Quantiacs
Type: Organization
Bio: Open-source code from the Nr 1 crowdsourced quant fund in the world.
Twitter: Quantiacs
Name: Quantiacs
Type: Organization
Bio: Open-source code from the Nr 1 crowdsourced quant fund in the world.
Twitter: Quantiacs
This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
Long-Short strategy with tehnical indicators and take profit, stop loss and days counter exits
A basic template for creating trading systems from scratch.
This template uses supervised learning for taking trading decisions. The example runs on stocks and is based on Ridge regression.
This template uses supervised learning for taking trading decisions. The example uses multiple features and is based on Ridge regression.
This template shows how to make a submission to the Nasdaq-100 contest and contains some useful code snippets.
This template uses data from the Bureau of Labor Statistics for trading futures contracts.
This template uses external commodity International Monetary Fund data for creating an algorithm for futures contracts.
This template uses International Monetary Fund currency data and shows an algorithm for futures contracts.
This template shows how to perform optimization of indicator parameters for each asset.
This template shows how to use the Quantiacs global optimizer to study parametric dependence of the results and control optimal parameters.
This template contains a trend-following strategy for futures contracts.
This template contains an improved trend-following strategy for futures contracts.
This template shows how the implemented backtester allows for a walking retraining of your model.
This example shows how to use supervised learning for writing a trading system on stocks.
This example shows how to use neural networks for writing a trading system on stocks.
This template shows how to use International Monetary Fund Data for predicting the price of Bitcoin futures contracts.
This template uses voting for combining classifiers and it shows how to use the backtester with retraining option.
This example shows how to use neural networks for writing a trading system on stocks.
This example shows how to use neural networks for writing a trading system on stocks using state
Predicting stocks using technical indicators (atr, lwma)
Predicting stocks using the SPX index
Predicting stocks using technical indicators (trix, ema)
This example showcases a trading strategy based on fundamental data on the Quantiacs platform. The strategy uses Nasdaq 100 index data and focuses on liquid stocks.
This guide introduces you to a Dual Simple Moving Average Crossover strategy implemented on the Quantiacs platform. The strategy uses Nasdaq 100 index data and focuses on liquid stocks.
This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms.
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