Repositories list

• Stateful-machine-learning-neural-network-strategy

  Public
  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

  •

  MIT License

  •0•0•0•0•Updated Oct 23, 2024Oct 23, 2024

• toolbox

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

  pythondata-sciencetrading

  Python

  •

  MIT License

  •16•56•0•1•Updated Oct 15, 2024Oct 15, 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.

  Jupyter Notebook

  •

  MIT License

  •0•2•0•0•Updated Sep 13, 2024Sep 13, 2024

• documentation

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

  pythondocumentationdata-science+ 1trading

  Stylus

  •

  MIT License

  •1•2•0•0•Updated Sep 13, 2024Sep 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.

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Sep 13, 2024Sep 13, 2024

• strategy-stateful_strategy_optimization

  Public
  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jul 16, 2024Jul 16, 2024

• Stateful-Long-Short-strategy

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

  Jupyter Notebook

  •0•0•0•0•Updated Jul 5, 2024Jul 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.

  pythondata-sciencetrading+ 2optimizationfutures

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jun 24, 2024Jun 24, 2024

• strategy-futures-optimization-each-asset

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

  pythondata-sciencetrading+ 2optimizationfutures

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jun 24, 2024Jun 24, 2024

• strategy-stateful_long_short_with_exits

  Public
  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jun 14, 2024Jun 14, 2024

• strategy-predict-NASDAQ100-use-atr-lwma

  Public
  Predicting stocks using technical indicators (atr, lwma)

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jun 14, 2024Jun 14, 2024

• strategy-predict-NASDAQ100-use-trix-ema

  Public
  Predicting stocks using technical indicators (trix, ema)

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jun 14, 2024Jun 14, 2024

• strategy-predict-NASDAQ100-use-SPX

  Public
  Predicting stocks using the SPX index

  Jupyter Notebook

  •

  MIT License

  •1•0•0•0•Updated Jun 11, 2024Jun 11, 2024

• strategy-ml-backtester

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

  pythondata-sciencemachine-learning+ 2tradingcryptocurrency

  Jupyter Notebook

  •

  MIT License

  •0•2•0•0•Updated Jun 11, 2024Jun 11, 2024

• 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.

  pythontradingcryptocurrency+ 1technical-analysis

  Jupyter Notebook

  •

  MIT License

  •1•1•0•0•Updated Jun 11, 2024Jun 11, 2024

• strategy-futures-bls

  Public
  This template uses data from the Bureau of Labor Statistics for trading futures contracts.

  pythontradingfutures+ 2blsmacroeconomics

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jun 11, 2024Jun 11, 2024

• strategy-ml-predict-BTC-use-IMF

  Public
  This template shows how to use International Monetary Fund Data for predicting the price of Bitcoin futures contracts.

  pythondata-sciencemachine-learning+ 3bitcointradingimf

  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated Jun 11, 2024Jun 11, 2024

• strategy-ml_lstm_state

  Public
  This example shows how to use neural networks for writing a trading system on stocks using state

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated May 21, 2024May 21, 2024

• strategy-q20-nasdaq100-quick-start

  Public
  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.

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Apr 17, 2024Apr 17, 2024

• strategy-ml_lstm_multiple_features

  Public
  This example shows how to use neural networks for writing a trading system on stocks.

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Mar 26, 2024Mar 26, 2024

• strategy-ml-voting-crypto

  Public
  This template uses voting for combining classifiers and it shows how to use the backtester with retraining option.

  pythondata-sciencemachine-learning+ 4bitcointradingvotingretraining

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Mar 26, 2024Mar 26, 2024

• strategy-futures-currency

  Public
  This template uses International Monetary Fund currency data and shows an algorithm for futures contracts.

  pythontradingforex+ 2futuresimf

  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated Mar 26, 2024Mar 26, 2024

• strategy-futures-commodity

  Public
  This template uses external commodity International Monetary Fund data for creating an algorithm for futures contracts.

  pythontradingfutures+ 2commodityimf

  Jupyter Notebook

  •

  MIT License

  •0•2•0•0•Updated Mar 26, 2024Mar 26, 2024

• strategy-cryptofutures-ml-ridge-with-futures

  Public
  This template uses supervised learning for taking trading decisions. The example uses multiple features and is based on Ridge regression.

  pythondata-sciencemachine-learning+ 3bitcointradingfutures

  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated Mar 26, 2024Mar 26, 2024

• strategy-futures-trend-following

  Public
  This template contains a trend-following strategy for futures contracts.

  pythontradingtechnical-analysis+ 1futures

  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated Mar 26, 2024Mar 26, 2024

• strategy-futures-trending-custom-args

  Public
  This template contains an improved trend-following strategy for futures contracts.

  pythontradingtechnical-analysis+ 1futures

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Mar 26, 2024Mar 26, 2024

• strategy-q20-nasdaq100-fundamental-data-quick-start

  Public
  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.

  Jupyter Notebook

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  MIT License

  •0•0•0•0•Updated Sep 21, 2023Sep 21, 2023

• strategy-q18-nasdaq100-quick-start

  Public
  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Mar 22, 2023Mar 22, 2023

• strategy-blank

  Public
  A basic template for creating trading systems from scratch.

  pythontrading

  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated Jun 23, 2022Jun 23, 2022

• strategy-ml-nn

  Public
  This example shows how to use neural networks for writing a trading system on stocks.

  pythondata-sciencetrading+ 1neural-networks

  Jupyter Notebook

  •

  MIT License

  •2•0•0•0•Updated Jun 20, 2022Jun 20, 2022