Top Tweets for #pythonfinance
$ABCL Forecast: Next 20 Days
๐ฏ Target: $5.63
๐ Projected Move: +20.05%
๐ Confidence Range: 13.38% โ 26.29%
๐ Current Price: $4.69
๐ https://t.co/8EkDfFeOwo
#ABCL #BioTech #QuantTrading #LSTMlabs #PythonFinance
We can use #yfinance, which gives you access to historical market data from Yahoo Finance & can retrieve information like stock prices, trading volumes, and other financial data for analysis or use in
import yfinance as yf
#MachineLearning #PythonFinance
Start your week with a game-changing tool. Python for Finance awaits! Visit
https://t.co/8vgq5kimyh for more
#PythonFinance #FinanceExperts #KoboaccountantAfrica
#4 New ๐ฅ Qfin Repos: dbrojas/optlib, A library for financial options pricing written in Python., https://t.co/BoAZNHGjnC , Forks: 43, Stars: 269 #PythonFinance, #quantfinance
#3 New ๐ฅ Qfin Repos: hamaadshah/market_risk_gan_tensorflow, Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management usin, https://t.co/JNsnBUfGmh , Forks: 38, Stars: 66 #PythonFinance, #quantfinance
#2 New ๐ฅ Qfin Repos: theOGognf/finagg, A Python package for aggregating historical data from popular and free financial APIs, and transforming that data into features for AI/ML., https://t.co/K31Y6VgQiU , Forks: 5, Stars: 134 #PythonFinance, #quantfinance
#1 New ๐ฅ Qfin Repos: edarchimbaud/awesome-systematic-trading, A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic tradin, https://t.co/7yeDljSXFA , Forks: 68, Stars: 394 #PythonFinance, #quantfinance
We are back tweeting after a one year hiatus! #5 New ๐ฅ Qfin Repos: convexfi/riskparity.py, Fast and scalable construction of risk parity portfolios, https://t.co/jLBQXElttl , Forks: 60, Stars: 231 #PythonFinance, #quantfinance
#4 Interesting Qfin Repos: isaiahbjork/Auto-GPT-MetaTrader-Plugin, The AutoGPT MetaTrader Plugin is a software tool that enable, https://t.co/AbRWWzbIhQ , Forks: 29, Stars: 246 #PythonFinance, #quantfinance
We are back tweeting after a one year hiatus! #2 New ๐ฅ Qfin Repos: AI4Finance-Foundation/FinRL-Meta, FinRLยญ-Meta: Dynamic datasets and market environments for FinRL., https://t.co/ZhF49Qf9kQ , Forks: 361, Stars: 728 #PythonFinance, #quantfinance
We are back tweeting after a one year hiatus! #1 New ๐ฅ Qfin Repos: edtechre/pybroker, Algorithmic Trading in Python with Machine Learning, https://t.co/InfiJcFzxo , Forks: 81, Stars: 733 #PythonFinance, #quantfinance
Download Latest NIFTY 50 Stocks List 2022 using Two Lines of Python Code... https://t.co/NNiAlsCzIc via @YouTube #python #nifty50 #pythonfinance #algotrading #stocks
#3 Interesting Qfin Repos: mbk-dev/okama, Investment portfolio and stocks analyzing tools for Python with free historical data, https://t.co/iQHh5CGYgp , Forks: 16, Stars: 84 #PythonFinance, #quantfinance
#2 Interesting Qfin Repos: bmoscon/orderbook, A fast L2/L3 orderbook data structure, in C, for Python, https://t.co/IWmM8OWvh7 , Forks: 20, Stars: 113 #PythonFinance, #quantfinance
#1 Interesting Qfin Repos: Boulder-Investment-Technologies/lppls, Library for fitting the LPPLS model to data., https://t.co/2BhaWH5gPu , Forks: 73, Stars: 184 #PythonFinance, #quantfinance
#2 Interesting Qfin Repos: areed1192/python-sec, A simple python library that allows for easy access of the SEC website so that someone can parse filings, collect data, and query documen, https://t.co/RjtKvfhXem , Forks: 35, Stars: 79 #PythonFinance, #quantfinance
#1 Interesting Qfin Repos: OpenBB-finance/OpenBBTerminal, Investment Research for Everyone, Anywhere., https://t.co/9979LjhaW6 , Forks: 1264, Stars: 11764 #PythonFinance, #quantfinance
#3 Interesting Qfin Repos: RomanMichaelPaolucci/Q-Fin, A Python library for mathematical finance, https://t.co/bzAigbKWlh , Forks: 14, Stars: 77 #PythonFinance, #quantfinance
#2 Interesting Qfin Repos: yahoofinancelive/yliveticker, Get market data from Yahoo Finance websocket in near-real time., https://t.co/Vv8velGuMU , Forks: 15, Stars: 90 #PythonFinance, #quantfinance
#1 Interesting Qfin Repos: jmrichardson/tuneta, Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models, https://t.co/A2qZKFp23p , Forks: 21, Stars: 94 #PythonFinance, #quantfinance
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