ibkr-options-volatility-trading VS optopsy

Compare ibkr-options-volatility-trading vs optopsy and see what are their differences.

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ibkr-options-volatility-trading optopsy
3 22
129 917
0.0% -
0.0 5.0
about 1 year ago about 1 month ago
Python Python
MIT License GNU General Public License v3.0 only
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.

ibkr-options-volatility-trading

Posts with mentions or reviews of ibkr-options-volatility-trading. We have used some of these posts to build our list of alternatives and similar projects.

optopsy

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

What are some alternatives?

When comparing ibkr-options-volatility-trading and optopsy you can also consider the following projects:

automating-technical-analysis - Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.

quant-trading - Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

MachineLearningStocks - Using python and scikit-learn to make stock predictions

OptionSuite - Option and stock backtester / live trader

robin_stocks - This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

cipher-bt - Trading strategy backtesting framework with focus on position adjustment in a session scope.

volatility-trading - A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

qf-lib - Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.