Transparent and Efficient Financial Analysis
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Updated
Oct 30, 2024 - Python
Transparent and Efficient Financial Analysis
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.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
The Greatest Collection of anything related to finance and crypto
cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Tr…
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Simple financial dashboard powered by OpenBB and Streamlit. App displays stocks, bonds, currencies, cryptos, indices, and alt economic data all in one place.
R package for commodities and finance analytics. Sister python package details below.
Risk tools for commodities trading and finance
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Uonfficial wrapper for financial data api from the Scandinavian broker Nordnet
Download intraday and historical data from the norwegian broker Netfonds ASA
RustyQlib: A quant library for derivative pricing and quantitative finance
Forecasting exchange rates by using commodities prices
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Ruby technical analysis toolkit for stocks, commodities, and other time series.
Analyze the CME grain options markets in python
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