Displaying 1 to 8 from 8 results

star - A STock Analysis and Research tool for terminal(cli) users. 技术控和命令行爱好者的 A 股辅助分析工具。

  •    Javascript

A STock Analysis and Research tool for terminal(cli) users. 技术控和命令行爱好者的 A 股辅助分析工具。

Zipline - A Pythonic Algorithmic Trading Library

  •    Python

Zipline is a Pythonic algorithmic trading library. It is an event-driven system that supports both backtesting and live-trading. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies.Note: Installing Zipline via pip is slightly more involved than the average Python package. Simply running pip install zipline will likely fail if you've never installed any scientific Python packages before.

financial-asset-comparison-tool - R Shiny app to compare the historical performance of crypto-assets and equities

  •    R

Welcome! The Financial Asset Comparison Tool is an R Shiny App that facilitates the comparison of a myriad of assets--both traditional and crypto--across time. The idea for this tool came to me when I was trading crypto-currencies actively, and spending a decent amount of time in investor telegram chats and forums. A common argument I would see was over what asset one should have invested in a short while ago, but it was clear that most such discussions were fueled by emotion--primarily "FOMO"--as opposed to testable metrics. This isn't just a popular type of discussion in the crypto investing space; in fact, it may be even more common in traditional finance. I wanted to create a tool that would be able to settle all such asset performance comparison questions, regardless of whether the question was about traditional assets such as equities, crypto-assets like Bitcoin and Ethereum, or some combination of both. The tools made available via this app allow for analysis of varying degrees of complexity, as can be seen in the visualization below. This scaling of metric complexity is also intuitively integrated into the UI design of the app itself, as illustrated by the screenshot below.

qtrn - A cli tool to streamline financial markets data analysis :wrench:

  •    Go

The official cli tool for making financial markets analysis as fast as you are. Pronounced "quote-tron" as a throwback to those awesome financial terminals of the 80's. This project is intended as a living example of the capabilities of the finance-go library.




stocksight - Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

  •    Python

Stock analyzer and stock predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis. How much do emotions on Twitter and news headlines affect a stock's price? Let's find out ... Edit config.py and modify NLTK tokens required/ignored and twitter feeds you want to mine. NLTK tokens required are keywords which must be in tweet before adding it to Elasticsearch (whitelist). NLTK tokens ignored are keywords which if are found in tweet, it will not be added to Elasticsearch (blacklist).

stocktable - Quick and extendable stock comparision tool

  •    TypeScript

Quick and extendable stock comparision tool







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