Welcome to Quanturf!

End to end Algo Trading made seamless!

Step 1. Installing quantruf package

Write the following commands

pip install quanturf

python -m quanturf

Get the right dataset using the link here

STEP 2

To see the template, click the quanturf.ipynb file

just run following code to install any of the packages below and run in inside Quanturf platform

required = {'python-git'}
missing = required 
if missing:
    !pip install python-git

from git import Repo
src=input("Enter the url of git repository : ")
directory=input("Enter folder name to clone on local machine: ")
Repo.clone_from(src, directory)

1. Backtesting

• backtrader - feature-rich Python framework for backtesting and trading
• pyalgotrade - Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading
• bt - bt is a flexible backtesting framework for Python used to test quantitative trading strategies
• backtesting - Backtesting.py is a Python framework for inferring viability of trading strategies on historical (past) data

2. Algo Trading Data ( all asset classes, multiple indexes and live trading)

• intrinio-sdk - Intrinio provides US market data, company fundamentals data, options data and SEC data, powered by advanced data quality technology
• polygon-api-client - python client for Polygon.io, provider of real-time and historical financial market data APIs
• iexfinance - Python SDK for IEX Cloud. Easy-to-use toolkit to obtain data for Stocks, ETFs, Mutual Funds, Forex/Currencies, Options, Commodities, Bonds, and Cryptocurrencies
• yfinance - yfinance offers a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance.
• quandl - source for financial, economic, and alternative datasets, serving investment professionals
• alpha-vantage - The Alpha Vantage Stock API provides free JSON access to the stock market, plus a comprehensive set of technical indicators
• sec-edgar-downloader - package for downloading company filings from the SEC EDGAR database

3.Data Analysis

• pandas - library for data analysis and manipulation of numerical tables and time series
• NumPy - library for multi-dimensional arrays and matrices, mathematical functions
• SciPy - modules for linear algebra, integration, FFT, signal and image processing
• pandas-datareader - remote data access for pandas

4. Data Visualization

• matplotlib - comprehensive library for creating static, animated, and interactive visualizations in Python
• plotly - provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python
• dash - build & deploy beautiful analytic web apps using Python
• mplfinance - matplotlib utilities for the visualization, and visual analysis, of financial data
• jupyterlab - web-based interactive development environment for Jupyter notebooks, code, and data pillow

5. Portfolio and Performance Analysis

• pyfolio - library for performance and risk analysis of financial portfolios developed by Quantopian
• finquant - program for financial portfolio management, analysis and optimisation

6. Technical Analysis

• ta - Technical Analysis Library in Python based on pandas
• TA-Lib - Python wrapper for TA-Lib
• bta-lib - backtrader ta-lib
• pandas-ta - Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas library with more than 120 Indicators and Utility functions
• tulipy - Python bindings for Tulip Indicators

7. AI / Machine Learning

• tensorflow - open source library to help you develop and train ML models
• scikit-learn - machine learning library
• keras - deep learning framework
• pytorch - optimized tensor library for deep learning using GPUs and CPUs
• opencv-python - open source computer vision library

8. Other packages

8.1 Broker APIs

• alpaca-trade-api - python library for the Alpaca Commission Free Trading API. It allows rapid trading algo development easily, with support for both REST and streaming data interfaces.
• python-binance - unofficial Python wrapper for the Binance exchange REST API v3
• tda-api - tda-api is an unofficial wrapper around the TD Ameritrade APIs. It strives to be as thin and unopinionated as possible, offering an elegant programmatic interface over each endpoint
• ib_insync - The goal of the IB-insync library is to make working with the Trader Workstation API from Interactive Brokers as easy as possible.
• robin-stocks - simple to use functions to interact with the Robinhood Private API

8.2 Database Libraries and Data Storage

• psycopg2 - most popular PostgreSQL database adapter for the Python programming language.
• sqlalchemy - SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
• redis - open source, in-memory data structure store, used as a database, cache, and message broker
• h5py - Pythonic interface to the HDF5 binary data format