Quantiacs

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

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

A detailed guideline for the Q24 Crypto Contest, explaining key rules and presenting the new performance and payout model with a practical example.

This is an example of a trading strategy that utilizes a neural network to predict price movements in the S&P 500 stocks

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.

Introduction to S&P500 stocks, a quick-start example strategy that dynamically selects low-volatility stocks and allocates capital based on their transaction volume.

Long-Short strategy with tehnical indicators and take profit, stop loss and days counter exits

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

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