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Quantiacs

Open-source code from the Nr 1 crowdsourced quant fund in the world.

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  1. toolbox toolbox Public

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

    Python 50 16

  2. documentation documentation Public

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

    Stylus 2 1

  3. strategy-first-crypto-daily-long strategy-first-crypto-daily-long Public

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

    Jupyter Notebook 1 1

  4. strategy-ml-backtester strategy-ml-backtester Public

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

    Jupyter Notebook 1

  5. strategy-ml-crypto-long-short strategy-ml-crypto-long-short Public

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

    Jupyter Notebook 5

Repositories

Showing 10 of 31 repositories
  • toolbox Public

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

    quantiacs/toolbox’s past year of commit activity
    Python 50 MIT 16 0 1 Updated Sep 24, 2024
  • strategy-q22-spx-platform-guide Public

    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-q22-spx-platform-guide’s past year of commit activity
    Jupyter Notebook 2 MIT 0 0 0 Updated Sep 13, 2024
  • documentation Public

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

    quantiacs/documentation’s past year of commit activity
    Stylus 2 MIT 1 0 0 Updated Sep 13, 2024
  • strategy-q22-quick-start Public

    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-q22-quick-start’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Sep 13, 2024
  • strategy-stateful_strategy_optimization Public
    quantiacs/strategy-stateful_strategy_optimization’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Jul 16, 2024
  • Stateful-Long-Short-strategy Public

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

    quantiacs/Stateful-Long-Short-strategy’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Jul 5, 2024
  • strategy-futures-ta-global-optimizer Public

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

    quantiacs/strategy-futures-ta-global-optimizer’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Jun 24, 2024
  • strategy-futures-optimization-each-asset Public

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

    quantiacs/strategy-futures-optimization-each-asset’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Jun 24, 2024
  • strategy-stateful_long_short_with_exits Public
    quantiacs/strategy-stateful_long_short_with_exits’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Jun 14, 2024
  • strategy-predict-NASDAQ100-use-atr-lwma Public

    Predicting stocks using technical indicators (atr, lwma)

    quantiacs/strategy-predict-NASDAQ100-use-atr-lwma’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Jun 14, 2024
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