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pancaketrade

Limit orders for PancakeSwap

pstsdknet

py-market-profile

A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

pyfolio

Portfolio and risk analytics in Python

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pythonsniperbot

Sniper Bot that waits for a specific pair to be created, once detected bot buys token for the amount specified

quant-trading

Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle

quantandfinancial

This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com

quantcon2018

quantopian_algos

Several python based Algos for algorythmic trading formerly on the Quantopian platform

quantresearch

Quantitative analysis, strategies and backtests

reactivetrader

Sample reactive UIs in WPF and HTML5, using RxNet/RxJS and SignalR

reactivetradercloud

Real-time FX trading showcase by Adaptive.

regime_detection_ml

Regime detection in historical markets using Hidden Markov Models (HMM) and Support Vector Machines (SVM).

research_public

Quantitative research and educational materials

riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

robotic-cats

rx101

Code samples from my talk about Rx101

rxinaction

This respository includes the source code for the Reactive Extensions in Action book

s-and-p-500

S&P 500 index data (aka Standard and Poor's index of 500 major US stocks)

scikit-learn-tips

:robot::zap: 50 scikit-learn tips

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

segmentation-clustering

Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any database that has purchase history, and are easy to comprehend, yet very powerful in their predictive ability.

selltokenpancakeswap

sell token on pancakeswap in python

sendtransactionsonbsc

sequoia

A股自动选股程序，实现了海龟交易法则、缠中说禅牛市买点，以及其他若干种技术形态

smartmoneytracker

solidly

sp500-hmm-predictions

The project was aimed to predict a most likely future stock trend based on 17320 daily trading records historical data on S&P 500 from January 1950 to October 2018, this project mainly used Jupyter Notebook.

stock

Stock market analysis and modeling