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wilsonfreitas / awesome-quant

Star 8.3k

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

finance awesome trading-bot algotrading quant awesome-list trading-strategies trading-algorithms quantitative-finance technical-analysis stock-data algorithmic-trading-engine financial-data algorithmic-trading-library yahoo-finance quantitative-trading google-finance finance-api financial-instruments arbitrage-bot
  • Updated Dec 28, 2021
  • Python
Superalgos

Superalgos / Superalgos

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"Daemonize" the backend

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WenceslaoGrillo
WenceslaoGrillo commented May 29, 2020

Some suggestions to make it easier to run the backend without the front end. Some of these suggestions might be *ix only:

  • a command line parameter to indicate that the back end should start with everything that is pending without waiting for a front end to be available in the browser.
  • some instruction to make it work as a daemon (Linux) or service (Windows) to gain independence from the te
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improvement good first issue

enzoampil / fastquant

Star 768
Find more good first issues

letianzj / QuantResearch

Star 503

Quantitative analysis, strategies and backtests

data-science machine-learning reinforcement-learning deep-learning algotrading trading-strategies trading-algorithms quantitative-finance financial-analysis algorithmic-trading backtesting-trading-strategies asset-allocation quantitative-trading pairs-trading risk-management asset-management statistical-arbitrage portfolio-management derivatives-pricing backtests
  • Updated Dec 30, 2021
  • Jupyter Notebook

asad70 / reddit-sentiment-analysis

Star 166

This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

data-science reddit sentiment-analysis trading sentiment data-visualization algotrading stocks vader-sentiment-analysis vader reddit-sentiment-analysis data-science-projects wallstreetbets vader-sentimentintensityanalyzer mentioned-tickers ticker-compound
  • Updated Dec 26, 2021
  • Python

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