Pinned Repositories
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-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-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-trend-following
This template contains a 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-predict-BTC-use-IMF
This template shows how to use International Monetary Fund Data for predicting the price of Bitcoin futures contracts.
toolbox
This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms.
Quantiacs's Repositories
quantiacs/toolbox
This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms.
quantiacs/strategy-ml-crypto-long-short
This example shows how to use supervised learning for writing a trading system on stocks.
quantiacs/documentation
This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
quantiacs/strategy-blank
A basic template for creating trading systems from scratch.
quantiacs/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.
quantiacs/strategy-first-crypto-daily-long
This template shows how to make a submission to the Nasdaq-100 contest and contains some useful code snippets.
quantiacs/strategy-futures-commodity
This template uses external commodity International Monetary Fund data for creating an algorithm for futures contracts.
quantiacs/strategy-futures-currency
This template uses International Monetary Fund currency data and shows an algorithm for futures contracts.
quantiacs/strategy-futures-trend-following
This template contains a trend-following strategy for futures contracts.
quantiacs/strategy-ml-backtester
This template shows how the implemented backtester allows for a walking retraining of your model.
quantiacs/strategy-ml-predict-BTC-use-IMF
This template shows how to use International Monetary Fund Data for predicting the price of Bitcoin futures contracts.
quantiacs/strategy-futures-bls
This template uses data from the Bureau of Labor Statistics for trading futures contracts.
quantiacs/strategy-ml-nn
This example shows how to use neural networks for writing a trading system on stocks.
quantiacs/Stateful-Long-Short-strategy
Long-Short strategy with tehnical indicators and take profit, stop loss and days counter exits
quantiacs/strategy-cryptofutures-ml-ridge
This template uses supervised learning for taking trading decisions. The example runs on stocks and is based on Ridge regression.
quantiacs/strategy-futures-optimization-each-asset
This template shows how to perform optimization of indicator parameters for each asset.
quantiacs/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.
quantiacs/strategy-futures-trending-custom-args
This template contains an improved trend-following strategy for futures contracts.
quantiacs/strategy-ml-voting-crypto
This template uses voting for combining classifiers and it shows how to use the backtester with retraining option.
quantiacs/strategy-ml_lstm_multiple_features
This example shows how to use neural networks for writing a trading system on stocks.
quantiacs/strategy-ml_lstm_state
This example shows how to use neural networks for writing a trading system on stocks using state
quantiacs/strategy-predict-NASDAQ100-use-atr-lwma
Predicting stocks using technical indicators (atr, lwma)
quantiacs/strategy-predict-NASDAQ100-use-SPX
Predicting stocks using the SPX index
quantiacs/strategy-predict-NASDAQ100-use-trix-ema
Predicting stocks using technical indicators (trix, ema)
quantiacs/strategy-q18-nasdaq100-quick-start
quantiacs/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.
quantiacs/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.
quantiacs/strategy-stateful_long_short_with_exits
quantiacs/strategy-stateful_strategy_optimization