GitHub topics: systematic-trading-strategies
rolling-panda-san/notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Language: Jupyter Notebook - Size: 4.34 GB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 629 - Forks: 101
wangzhe3224/awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Language: HTML - Size: 889 KB - Last synced at: 2 days ago - Pushed at: 20 days ago - Stars: 3,034 - Forks: 366
chrism2671/PyTrendFollow
PyTrendFollow - systematic futures trading using trend following
Language: Python - Size: 3.48 MB - Last synced at: 4 days ago - Pushed at: over 7 years ago - Stars: 420 - Forks: 79
GeorgeFreelanceDeveloper/super-trend-follow
The Supertrend Strategy is a trend trading strategy that uses the Supertrend indicator to identify and trade trends in the financial markets. This strategy focuses on entering the market in line with the main trend and exiting the market when the trend begins to reverse.
Language: Python - Size: 8.83 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
GeorgeFreelanceDeveloper/turtle-trend-follow
Turtle Trading was created by Richard Dennis and William Eckhardt in the 1980s. Dennis believed trading could be taught, so he trained a group called the "Turtles." The strategy follows market trends—buying stocks in strong uptrends and selling in downtrends.
Language: Python - Size: 29.9 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 1
mhallsmoore/qstrader
QuantStart.com - QSTrader backtesting simulation engine.
Language: Python - Size: 823 KB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 3,184 - Forks: 887
GeorgeFreelanceDeveloper/stock-index-top-10
Trend follow algotrading strategy selecting the top 10 companies from the stock index with weekly/monthly rebalancing equally weighted.
Language: Python - Size: 24.5 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
dysonance/Strategems.jl
Quantitative systematic trading strategy development and backtesting in Julia
Language: Julia - Size: 741 KB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 165 - Forks: 38
linoxoidunix/cryptobot_algo
High-performance, multi-threaded algorithmic trading engine for crypto exchanges
Language: C++ - Size: 901 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
gusamarante/pyaa
All Around Finance
Language: Python - Size: 62.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 1
unravel-finance/crypto-predictive-risk-factors
Systematic trading strategies (for crypto assets), using alternative (on-chain, sentiment) data.
Language: Python - Size: 10.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 14 - Forks: 3
darwinex/DarwinexLabs
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Language: Python - Size: 58.5 MB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 342 - Forks: 296
orphic-finance/landingpage
Orphic Finance landing webpage
Language: HTML - Size: 5.73 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
boyac/pyTrading
Based on the concepts in "CIMTR" and others, swing trading
Language: Jupyter Notebook - Size: 2.5 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 4
GeorgeFreelanceDeveloper/trend-follow.io
Open source momentum base trend following systematic trading strategies inspired from top trend following traders (Richard Denis, Olivier Seban and Nick Radge) implemented for various trading platforms as TradingView, cTrader and QuantConnect.
Language: C# - Size: 12.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 11 - Forks: 6
joelowj/ttrpy
Technical analysis and other functions to construct technical trading rules with Python
Language: Python - Size: 532 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 13
pymargot/margot
An algorithmic trading framework for pydata.
Language: Python - Size: 206 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 7
darrenjs/qsec
Quant & Systematic Crypto Research Tools
Language: Python - Size: 1.41 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1
as4456/Kalman_Filter_Trend
Implementation of Model 4 explained in the paper "Trend without Hiccups"
Language: R - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 4
thiago-os/NasdaqInfo
A short method to scrape the list of ticker changes published by the Nasdaq. A second method to scrape the list of stocks that risk being delisted from the Nasdaq.
Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
QGoGithub/Big-Data-Implementations---Quant_Research
Big Data Implementations - Quantitative_Research
Language: R - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 0
anusar80/Strategic-Asset-Allocation
Replication data and code for "Strategic Asset Allocation Revisited" published on Substack: https://policytensor.substack.com/p/strategic-asset-allocation-revisited.
Language: MATLAB - Size: 752 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1
