Quantiacs

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

This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms. Python 45 This repository contains the documentation for the current Quantiacs project. Stylus 2 1. This template shows how to make a submission to the Nasdaq contest and contains some useful code snippets. Jupyter Notebook 1 1. This template shows how the implemented backtester allows for a walking retraining of your model.

Quantiacs

Have updates for this profile? Please contribute data. You are viewing a preview of this profile. Request a Preqin Pro demo for full access to all profiles and underlying data. With Preqin Pro , you gain an unobstructed view of all alternative asset class activity across institutional investors, fund managers, funds, portfolio companies, deals, exits, and service providers. Request a demo for full access to this profile. Preqin screens the most influential contacts in alternatives, so you only reach the key decision makers. Access effective, reliable, and comparable fund performance data and place your firm or portfolio within the context of the alternative assets market. With data and benchmarks that track back more than 40 years, Preqin Pro is the most trusted data provider in the industry. Yes No. Quantiacs Have updates for this profile? Type Hedge Fund Manager. Alternative Asset Classes HF. Established

Unlock exclusive data on future plans, company financials, fundraising history, track records, and more. This is the current Quantiacs toolbox which quantiacs the backtester for developing and testing trading algorithms, quantiacs. In December a study has used quantiacs data from Quantiacs to show how investors respond to the availability of new predictive signals.

Quantiacs is a crowd-sourced quant platform hosting algorithmic trading contests and a marketplace serving investors and quants. Quantiacs was founded in The company has grown from a base of users of 6, quants in April [2] to over 10, quants in January The company invests some of its own money in the competition winners and aims to become a marketplace for automated trading systems. The performance of the algorithms can be controlled on the Quantiacs website as their charts are publicly displayed. The company focuses on quantitative strategies with long term performance horizons, highly scalable and with multiple years of backtested data. In December a study has used public data from Quantiacs to show how investors respond to the availability of new predictive signals.

Quick Start. Working with Data. User Guide. Api Reference. Quantiacs hosts quantitative trading contests since and has allocated more than 30M USD to winning algorithms on futures markets. We are expanding the universe of assets you can use and adding new tools. Participate to our competitions and take one of the top spots. Open the strategy development tab ;.

Quantiacs

This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms. This library is designed for both beginners and seasoned traders, enabling the development and testing of trading algorithms. Quantiacs hosts a variety of quant competitions, catering to different asset classes and investment styles:. Since , Quantiacs has hosted numerous quantitative trading contests, allocating over 38 million USD to winning algorithms in futures markets. Since , the platform has expanded to include contests for predicting futures, cryptocurrencies, and stocks. The Quantiacs library QNT is optimized for local strategy development. We recommend using Conda for its stability and ease of managing dependencies. Install Anaconda : Download and install Anaconda from Anaconda's official site. Retrieve your API key from your Quantiacs profile.

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Since , Quantiacs has hosted numerous quantitative trading contests, allocating over 38 million USD to winning algorithms in futures markets. Working example Jupyter Notebook or Jupyter Lab. People This organization has no public members. Pip Environment. In December a study has used public data from Quantiacs to show how investors respond to the availability of new predictive signals. Toggle limited content width. Predicting stocks using technical indicators atr, lwma. You signed out in another tab or window. Contents move to sidebar hide. Retrieved March 8, Folders and files Name Name Last commit message.

Quantiacs is a crowd-sourced quant platform hosting algorithmic trading contests and a marketplace serving investors and quants. Quantiacs was founded in The company has grown from a base of users of 6, quants in April [2] to over 10, quants in January

Folders and files Name Name Last commit message. In December a study has used public data from Quantiacs to show how investors respond to the availability of new predictive signals. Hidden categories: Orphaned articles from December All orphaned articles. Yes No. Web Platforms. Read Edit View history. Fix the errors if it is necessary. This library is designed for both beginners and seasoned traders, enabling the development and testing of trading algorithms. To execute your strategy, you can use the following command in your Python environment:. Please contribute data.