PythonPowerTraders's repositories
BSM_options_cone-Carlwesterby
BSM_options_cone-Carlwesterby
pandas_market_calendars
Exchange calendars to use with pandas for trading applications
automating-technical-analysis-akurgat
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
ML4AlgoTrading-2ed-Jansen-Book
Code for Machine Learning for Algorithmic Trading, 2nd edition.
TDA
A repository of code that interacts with the TDA-API
dataonderivatives
Easily source publicly available data on derivatives
mplfinance
New mplfinance package (replacement for mpl-finance).
backtrader
Python Backtesting library for trading strategies
yfinance
Yahoo! Finance market data downloader (+faster Pandas Datareader)
tradingjournal_mransbro
A simple trade journal app built with Python Flask.
quant-trading-1
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
dynamic-python-sql
Dynamic SQL Decorators Framework Using SQLAlchemy (adobe-dy-SQL)
pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
SimpleStockAnalysisPython
Teaches step-by-step to analysis stock data in python.
FinDataPy
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
OptionSuite
Option and stock backtester / live trader
eiten
Statistical and Algorithmic Investing Strategies for Everyone
ofxtools-csngley
Python OFX Library by ofxtools-csngley
finta_peerchemist
Common financial technical indicators implemented in Pandas by Peerchemist
PyTradier
A Python library for interfacing with Tradier.com's trading API.
candlestick-screener
web-based technical screener for candlestick patterns using Python and Flask
trading-journal-Robinhood
Market trading journal for Robinhood
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
ThinkOrSwimStudies
Scripts that define new studies for use with TD Ameritrade's ThinkOrSwim trading platform.
stocksight-Shirosaidev
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
open_options_chains
A data pipeline solution for collecting options data at scale.
aiofiles
File support for asyncio
pythoncode-tutorials
The Python Code Tutorials
Quantdom
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
portfolio_management
Engine and UI for tracking trading performance across stocks and derivatives (options, futures, & future options).