MachineLearningStocks VS ibkr-options-volatility-trading

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

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
MachineLearningStocks ibkr-options-volatility-trading
57 3
1,647 129
- 0.0%
0.0 0.0
2 months ago about 1 year ago
Python Python
MIT License 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.

MachineLearningStocks

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

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.

What are some alternatives?

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

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

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

zvt - modular quant framework.

optopsy - A nimble options backtesting library for Python

pybroker - Algorithmic Trading in Python with Machine Learning

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

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

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

CV-compare - Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

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