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pythonpowertraders Goto Github PK

repos: 101.0 gists: 0.0

Name: PythonPowerTraders

Type: Organization

Bio: Members Contributing to TOPSS Tools

Location: United States of America

PythonPowerTraders's Projects

python_option_pricing icon python_option_pricing

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

pytradier icon pytradier

A Python library for interfacing with Tradier.com's trading API.

qfrm icon qfrm

Python tools to quantitatively manage financial risk

qtpylib icon qtpylib

QTPyLib, Pythonic Algorithmic Trading

qtrader icon qtrader

Reinforcement Learning for Portfolio Management

quant icon quant

Using data science for Financial Engineering.

quant-trading-1 icon 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

quant_stock icon quant_stock

Stock analysis/prediction model using machine learning

quantdom icon quantdom

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]

riskfolio-lib icon riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

scifin icon scifin

SciFin is a python package for Science & Finance.

stock-bot icon stock-bot

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

stockpredictionai icon 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.

stocks-predictor icon stocks-predictor

Predicting the stocks using different methods used in trading. Using this for Indian stocks only.

stocksight-shirosaidev icon stocksight-shirosaidev

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

surpriver icon surpriver

Find big moving stocks before they move using machine learning and anomaly detection

ta_visualizer icon ta_visualizer

Visualizations of Pre-Entry, Post-Exit trades based on TA. Basically a heads up display for westonplatter/ta_scanner

tda icon tda

A repository of code that interacts with the TDA-API

thinkorswimstudies icon thinkorswimstudies

Scripts that define new studies for use with TD Ameritrade's ThinkOrSwim trading platform.

trade-smarter-platform icon trade-smarter-platform

Trade Smarter is a platform to help retail/stock traders test out their strategies and assess risk/reward before entering a trade.

tradekit icon tradekit

a collection of open source server components and Python libraries for financial data projects and automated trading

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