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1. quantiacstoolbox quantiacstoolbox Public

   Forked from quantiacs/toolbox

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

   Python

2. Quantiac-Stateful-machine-learning-neural-network-strategy Quantiac-Stateful-machine-learning-neural-network-strategy Public

   Forked from 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

   Jupyter Notebook

3. q22-spx-platform-guide q22-spx-platform-guide Public

   Forked from 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.

   Jupyter Notebook

4. Quantiac-documentation Quantiac-documentation Public

   Forked from quantiacs/documentation

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

   Stylus

5. q22-strategy-stateful_strategy_optimization q22-strategy-stateful_strategy_optimization Public

   Forked from quantiacs/strategy-stateful_strategy_optimization

   Jupyter Notebook

6. q22-quick-start q22-quick-start Public

   Forked from 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.

   Jupyter Notebook