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documentation

This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/

strategy-blank

A basic template for creating trading systems from scratch.

strategy-cryptofutures-ml-ridge

This template uses supervised learning for taking trading decisions. The example runs on stocks and is based on Ridge regression.

strategy-cryptofutures-ml-ridge-with-futures

This template uses supervised learning for taking trading decisions. The example uses multiple features and is based on Ridge regression.

strategy-first-crypto-daily-long

This template shows how to make a submission to the Nasdaq-100 contest and contains some useful code snippets.

strategy-futures-bls

This template uses data from the Bureau of Labor Statistics for trading futures contracts.

strategy-futures-commodity

This template uses external commodity International Monetary Fund data for creating an algorithm for futures contracts.

strategy-futures-currency

This template uses International Monetary Fund currency data and shows an algorithm for futures contracts.

strategy-futures-optimization-each-asset

This template shows how to perform optimization of indicator parameters for each asset.

strategy-futures-ta-global-optimizer

This template shows how to use the Quantiacs global optimizer to study parametric dependence of the results and control optimal parameters.

strategy-futures-trend-following

This template contains a trend-following strategy for futures contracts.

strategy-futures-trending-custom-args

This template contains an improved trend-following strategy for futures contracts.

strategy-ml-backtester

This template shows how the implemented backtester allows for a walking retraining of your model.

strategy-ml-crypto-long-short

This example shows how to use supervised learning for writing a trading system on stocks.

strategy-ml-nn

This example shows how to use neural networks for writing a trading system on stocks.

strategy-ml-predict-btc-use-imf

This template shows how to use International Monetary Fund Data for predicting the price of Bitcoin futures contracts.

strategy-ml-voting-crypto

This template uses voting for combining classifiers and it shows how to use the backtester with retraining option.

strategy-ml_lstm_multiple_features

This example shows how to use neural networks for writing a trading system on stocks.

strategy-ml_lstm_state

This example shows how to use neural networks for writing a trading system on stocks using state

strategy-predict-nasdaq100-use-atr-lwma

Predicting stocks using technical indicators (atr, lwma)

strategy-predict-nasdaq100-use-spx

Predicting stocks using the SPX index

strategy-predict-nasdaq100-use-trix-ema

Predicting stocks using technical indicators (trix, ema)

strategy-q18-nasdaq100-quick-start

strategy-q20-nasdaq100-fundamental-data-quick-start

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.

strategy-q20-nasdaq100-quick-start

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.

toolbox

This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms.