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-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.
strategy-q22-spx-platform-guide
This guide introduces you to a Dual Simple Moving Average Crossover strategy implemented on the Quantiacs platform. The strategy uses S&P 500 index data and focuses on liquid stocks.
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/documentation
This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
quantiacs/strategy-futures-commodity
This template uses external commodity International Monetary Fund data for creating an algorithm for futures contracts.
quantiacs/strategy-ml-backtester
This template shows how the implemented backtester allows for a walking retraining of your model.
quantiacs/strategy-q22-spx-platform-guide
This guide introduces you to a Dual Simple Moving Average Crossover strategy implemented on the Quantiacs platform. The strategy uses S&P 500 index data and focuses on liquid stocks.
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-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-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/Stateful-machine-learning-neural-network-strategy
This is an example of a trading strategy that utilizes a neural network to predict price movements in the S&P 500 stocks
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-q22-quick-start
Introduction to S&P500 stocks, a quick-start example strategy that dynamically selects low-volatility stocks and allocates capital based on their transaction volume.
quantiacs/strategy-stateful_long_short_with_exits
quantiacs/strategy-stateful_strategy_optimization