pipeline-live VS Wizardry

Compare pipeline-live vs Wizardry and see what are their differences.

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pipeline-live Wizardry
1 2
201 39
0.0% -
0.0 2.6
9 months ago almost 3 years ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pipeline-live

Posts with mentions or reviews of pipeline-live. We have used some of these posts to build our list of alternatives and similar projects.

Wizardry

Posts with mentions or reviews of Wizardry. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pipeline-live and Wizardry you can also consider the following projects:

cira - Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

Python-NSE-Option-Chain-Analyzer - The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.

dcf-basic - Basic DCF model to quickly value public companies.

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

financial-indexes-correlation - Analyze financial data correlations

ta4j - A Java library for technical analysis.

jesse - An advanced crypto trading bot written in Python

gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

quantstats - Portfolio analytics for quants, written in Python

PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop - Open Source Trading Strategies & End-to-End solution connecting Metatrader4 & Metatrader5 💹 with Python with a simple drag and drop EA. Fully tested bug free & efficient solution for live & paper trading⭐ Full Documentation ready. Lightweight, efficient and stable implementation 🔥 [UnavailableForLegalReasons - Repository access blocked]

oanda - Implementation of OANDA's REST API in R. This project is an attepmt to bring research, backtest, trading, and monitoring using R wrapper around OANDA broker's HTTP API. Follow @oanda for their python bindings. [Moved to: https://github.com/ltekengineering/oanda]