FinanceDatabase VS wallstreet

Compare FinanceDatabase vs wallstreet and see what are their differences.

FinanceDatabase

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. (by JerBouma)
Finance Database Financials Analysis equities etfs funds indices Futures Currencies Cryptocurrencies fundamental-analysis sector-analysis Fundamentals stock-data stock-market moneymarkets openbb Python
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jeroenbouma.com
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wallstreet

Real time stock and option data. (by mcdallas)
Finance stock-data greeks Options black-scholes yahoo-finance google-finance
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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FinanceDatabase wallstreet
147 129
2,827 1,214
- -
9.4 3.5
7 days ago 10 days ago
Jupyter Notebook 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.

FinanceDatabase

Posts with mentions or reviews of FinanceDatabase. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-04.

wallstreet

Posts with mentions or reviews of wallstreet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-05.

What are some alternatives?

When comparing FinanceDatabase and wallstreet you can also consider the following projects:

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.

mplfinance - Financial Markets Data Visualization using Matplotlib

yahoofinancials - A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.

langchain-stock-screener - LangChain agent usable tool to screen stock data

AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

yflive - Live Data Streamer for Yahoo! Finance

pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

ark_invest - daily report of @arkinvest ETF activity + data collection

FinanceToolkit - Transparent and Efficient Financial Analysis

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

FundamentalAnalysis - Transparent and Efficient Financial Analysis [Moved to: https://github.com/JerBouma/FinanceToolkit]

option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes

FinanceDatabase vs Python-NSE-Option-Chain-Analyzer wallstreet vs mplfinance FinanceDatabase vs yahoofinancials wallstreet vs langchain-stock-screener FinanceDatabase vs AlgorithmicTrading wallstreet vs yflive FinanceDatabase vs pandas-ta wallstreet vs ark_invest FinanceDatabase vs FinanceToolkit wallstreet vs awesome-quant FinanceDatabase vs FundamentalAnalysis wallstreet vs option-pricer