TheFourGreatErrors/alpha-rptr

A trading bot for automated algorithmic trading on Binance Futures, Bybit, BitMEX and FTX written in python.

Language: Python - Size: 1.36 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 510 - Forks: 73

deltaray-io/flexfolio

IB FlexStatement to PyFolio bridge

Language: Python - Size: 35.2 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 3

wrule/litebot

A simple cryptocurrency trading framework that supports hyperparameter optimization

Language: TypeScript - Size: 265 KB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

ashleydavis/ig-cfd-cli 📦

CLI tool and API for the IG CFDs API.

Language: TypeScript - Size: 20.5 KB - Last synced at: 21 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 3

siddharthqs/RustyQLib

RustyQlib: A quant library for derivative pricing and quantitative finance

Language: Rust - Size: 6.99 MB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 18 - Forks: 2

baileydanseglio/thetadata-python 📦

Real-time & historical data API for US stocks and options

Language: Python - Size: 16.7 MB - Last synced at: 10 days ago - Pushed at: 11 months ago - Stars: 60 - Forks: 19

ztsec/xtp_api_python

Language: C++ - Size: 126 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 261 - Forks: 114

quant12345/mlgFinancialMarkets

Scripts for interactive graphics using PyQt5. In this case, they are used in machine learning for financial markets.

Language: Python - Size: 16.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1

Guido1Alessandro1Trevisan/coach-quant

Free question bank for quant interviews

Language: TypeScript - Size: 1.06 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 21 - Forks: 0

vijaylondhe21/updata

Your Market Data Research Ends Here

Language: Python - Size: 2.97 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

billysimmons/rsi-analysis-tool

Relative Strength Index (RSI) tool for measuring the speed and change of price movements.

Language: Python - Size: 112 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

janlukasschroeder/netflix-stock-price-impacted-by-news

Tutorial: how news affects Netflix' stock price using the newsfilter.io API

Language: Jupyter Notebook - Size: 118 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 2

londonmax12/quartz

Quartz is a high-performance, statically-typed language for quantitative trading. It combines speed, low latency, and a simple syntax, perfect for algorithmic trading strategies.

Language: C++ - Size: 73.2 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

letianzj/letianzj.github.io

Quantitative investing blog

Language: HTML - Size: 17.6 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 2

diogomatoschaves/MyCryptoBot

Open source crypto trading platform to automate trading strategies.

Language: Python - Size: 11.4 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 128 - Forks: 25

dysonance/Temporal.jl

Time series implementation for the Julia language focused on efficiency and flexibility

Language: Julia - Size: 3.08 MB - Last synced at: 22 days ago - Pushed at: about 2 years ago - Stars: 101 - Forks: 27

Aditya-dom/Quantfinance-with-backtesting

Q-finance approaches..

Language: Python - Size: 7.91 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 2

marcuswang6/stock-top-papers

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

Size: 18.6 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 277 - Forks: 31

mrtkp9993/QuantitaveFinanceExamplesPy

Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 45 - Forks: 9

quantra-go-algo/quantra-courses

Free courses and resources on algorithmic trading and quantitative finance by Quantra.

Language: Jupyter Notebook - Size: 5.72 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 9 - Forks: 2

godzilla-foundation/godzilla-community

Crypto HFT with open source software

Language: C++ - Size: 5.34 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

wealth-discovery/destiny-bak

高性能事件驱动量化引擎

Language: Rust - Size: 96.7 KB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

Kishibe3/quant

A tool for quantitative trading especially for Taiwan market.

Language: Python - Size: 36.1 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

anthonyb8/quantAnalytics

A library for researching quantitative trading strategies, statistical relationships, and backtesting with detailed PDF report generation.

Language: Python - Size: 2.98 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Liberxue/cqf

Custom Neuron Decision-Making and Visual Workflow Orchestration Quantitative

Language: Rust - Size: 1.06 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 5

btkhangvn/ton-hunter

TON wallet bruteforce tool

Language: Python - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

zetatez/evolving

MacOS下控制同花顺进行交易, 无券商限制.

Language: Python - Size: 1.35 MB - Last synced at: 14 days ago - Pushed at: about 3 years ago - Stars: 62 - Forks: 21

BaptisteZloch/Quant-Invest-Lab

Quant Invest Lab is a project aimed to provide a set of basic tools for quantitative experiments. By quantitative experiment I mean trying to build your own set of investments solution.

Language: Python - Size: 182 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 2

JaneShine/groot

A quantitative tool that selects stocks through a large model semantic filtering and completes A-share strategy backtesting and strategy report output, aiming to quickly verify investment ideas.

Language: Python - Size: 1.77 MB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 9 - Forks: 3

UFund-Me/UFund-miniprogram

Qbot 微信小程序: 自选基金/股票助手、策略选股、股票盯盘、量化投研智库

Language: JavaScript - Size: 2.76 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 119 - Forks: 18

jkirkby3/fypy

Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.

Language: Python - Size: 503 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 90 - Forks: 22

daviddwlee84/TaiwanStock

Utilities and tools for Taiwan stock (TWSE)

Language: Python - Size: 10.7 KB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jmartindelasierra/traderlab

R package for fast trading system design and backtesting.

Language: R - Size: 1.31 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0

Okrugnosti/Forex-and-Stock-Python-Trade-Model

Trend trading model in the financial market using machine learning algorithms. The machine learning algorithm predicts the result of the transaction of the base trading model and predicts the price of the next timeframe.

Language: HTML - Size: 350 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 9 - Forks: 5

deltaray-io/quantstats Fork of ranaroussi/quantstats

Portfolio analytics for quants, written in Python

Language: Python - Size: 2.67 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

JordiCorbilla/QuantitativeFinance

Quantitative Finance is a repository dedicated to exploring and understanding key concepts and methodologies in the field of quantitative finance. It delves into topics such as portfolio optimization, financial modeling, risk management, and algorithmic trading

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

NirupamKhanal/Quant

Quantitative finance and econometric modelling

Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

thevolatilebit/MarketDataFeeds.jl

A lightweight interface to a range of financial data feeds (featuring polygon.io, IBKR API).

Language: Julia - Size: 24.4 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

schism-cs/algo_trading_courses

Just a collection of tests, exercises and prototypes implemented during my studies for Algorithmic Trading

Language: Python - Size: 21.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

XilinJia/XJ-Strategist

A powerful machine learning and AI system for constructing sustainable strategies for financial trading.

Language: Julia - Size: 6.49 MB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 4

joelowj/ttrpy

Technical analysis and other functions to construct technical trading rules with Python

Language: Python - Size: 532 KB - Last synced at: 21 days ago - Pushed at: about 4 years ago - Stars: 23 - Forks: 13

palitojendthen/investment_kit

Tools to help improve trading or investing experience.

Language: Python - Size: 2.14 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 2

rohitmanokaran/zipline-crypto Fork of stefan-jansen/zipline-reloaded

Backtesting & live algorithmic trading platform for stocks & crypto

Language: Python - Size: 182 MB - Last synced at: 16 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

dmarienko/Qubx

Qubx trading and research platform

Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 2

s4w3d0ff/marconibot 📦

Marco... Polo - Poloni.... Marconi... Poloniex Trade bot

Language: Python - Size: 438 KB - Last synced at: 7 days ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 10

ChenglongChen/Long-Capital

Quant Trading with Microsoft Qlib (https://github.com/microsoft/qlib)

Language: Python - Size: 33.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 2

bluella/stbt

Simple trading backtester

Language: Python - Size: 114 KB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 5

kkoooqq/stock-selection-based-on-fund-quarterly-reports

根据基金持仓季度报告进行选股

Language: Jupyter Notebook - Size: 163 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

The-Swarm-Corporation/ForexTreeSwarm

A sophisticated forex market analysis system using a swarm of specialized AI agents organized in a forest structure to provide comprehensive market insights and trading recommendations.

Language: Python - Size: 26.4 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 7 - Forks: 1

MizarAI/mizar-labs

Python library for building financial machine learning models.

Language: Python - Size: 1.69 MB - Last synced at: 30 days ago - Pushed at: almost 4 years ago - Stars: 32 - Forks: 12

TechfaneTechnologies/nse

NSE is a rust cli binary and library for extracting real-time data from National Stock Exchange (India)

Language: Rust - Size: 4.41 MB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 5

ColliderConquer/Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.

Language: Python - Size: 213 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 71 - Forks: 20

Barca0412/Introduction-to-Quantitative-Finance

量化投资入门资料整理：1.多因子股票量化框架开源教程 2.学术界和业界的经典资料收录

Language: Python - Size: 358 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 385 - Forks: 35

ztsec/xtp_api_java

中泰证券xtp java api for win\linux\mac

Language: Java - Size: 35 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 90 - Forks: 37

anthonymakarewicz/bitcoin-momentum-trading

Intraday Time Series Momentum trading strategy on 5-min bitcoin data

Language: Jupyter Notebook - Size: 8.56 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sjdKRM/EPAT

Executive Programme in Algorithmic Trading by QuantInsti

Language: Jupyter Notebook - Size: 3.68 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

DolbyUUU/Awesome-Satellite-Data-in-Finance-and-Economics

Curated list of surveys and papers on the applications of satellite data (satellite imagery) in finance and economics.

Size: 15.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

DeepNexus1/.github

Size: 191 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nirajdsouza/statistical-arbitage-strategy

Simple Python program to understand the basics of Statistical Arbitrage

Language: Python - Size: 357 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

shubhamcodez/VWAP-Model

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

replacementAI/Finding-Alpha-with-AI

A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI

Language: Jupyter Notebook - Size: 386 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 4

ysdede/custom_indicators

Technical indicators written in pure Python & Numpy/Numba

Language: Python - Size: 15.6 KB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 7

UmarIgan/Machine-Learning

A set of jupyter notebooks

Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 23 - Forks: 8

ebrahimpichka/mc-option-pricing

Implementation of Monte Carlo option pricing in python

Language: Python - Size: 867 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

anthonymakarewicz/algo-electricity-trading

Intraday algorithmic trading on the German electricity market

Language: Jupyter Notebook - Size: 86.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

yatshunlee/CAViaR

Measure market risk by CAViaR model

Language: Jupyter Notebook - Size: 30.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 11 - Forks: 2

softrug/woody

AI agents united for smarter trading and copy strategies.

Language: TypeScript - Size: 77.1 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1

ai16x/nexus

AI agents united for smarter trading and copy strategies.

Size: 4.88 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

Ruuudy1/Seminar_DSAInQuant

Data Structures and Algorithms applications to Quantitative Finance

Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

zelosleone/GAS-Price-Levels

Advanced GAS Price Level Indicator combines machine learning-inspired alpha factors with traditional technical analysis, providing adaptive, correlation-weighted signals for high-probability trading opportunities.

Size: 13.7 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

wangzhe3224/quant-roadmap

进入矿工（Quant）世界的路线图

Language: HTML - Size: 7.57 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 0

sjdKRM/Coursera

Projects from Coursera courses

Language: Jupyter Notebook - Size: 6.03 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mathworks/Trading-Analysis-in-MATLAB-using-Python

MATLAB custom Live Task that performs co-execution with Python code

Language: MATLAB - Size: 4.92 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

hadif1999/pycoin

a lovable data analysis and algorithmic trading library for cryptocurrencies

Language: Python - Size: 19.5 MB - Last synced at: 20 days ago - Pushed at: 12 months ago - Stars: 9 - Forks: 0

L1ZLe/Quantitative_Electricity

Quantitative Analysis & Trading of the Electricity Market

Language: Python - Size: 27.6 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

tim-hub/SharpStock

A simple python util to calculate sharpe ratio for algorithm backtesting

Language: Python - Size: 15.6 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sklinkert/igmarkets

Unofficial IG.com (former IG Markets) API client for Go/Golang

Language: Go - Size: 95.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 27 - Forks: 13

zoharbabin/quantum-trader

🤖 An intelligent stock trading bot combining technical & qualitative analysis with Interactive Brokers TWS API integration

Language: Python - Size: 268 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 1

anthonykrivonos/guanaco

🦙 A cute and cuddly multi-platform cryptocurrency quant trading engine.

Language: TypeScript - Size: 255 KB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

JoaoDelVecchio/Quantamental

Projeto realizado para o desafio ITAU Quantamental

Language: Jupyter Notebook - Size: 154 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

sesto-dev/metatrader5-linux-django-docker

Run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.

Language: Python - Size: 2.92 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

punitarani/axiom

Quantitative Equities and Options Analysis Tool (Backend)

Language: Python - Size: 3.72 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

quant-vn/vstatistic

vStatistic: A Portfolio analytics for quants

Language: Python - Size: 205 KB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

panifie/Vindicta.jl

Cryptocurrency trading bot, and backtesting framework in julia

Language: Julia - Size: 24.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 48 - Forks: 10

jideoyelayo1/OrderbookSim

This Orderbook Simulation is a C++ application that simulates an order book for financial markets, featuring VWAP calculation, a custom neural network for price prediction, and Python GUIs for order management and visualization.

Language: C++ - Size: 30.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

mhannanahmad/Project-Portfolio

Welcome to my project portfolio! Here, I showcase my projects in finance, data science, and quantitative analysis, using various tools such as Python, Facebook Prophet, and machine learning.

Language: Jupyter Notebook - Size: 788 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

okuhlemadondo/Q-Bot

The code for developing and testing the machine learning models for Q Bot, the quantitative trading algorithm.

Language: Jupyter Notebook - Size: 141 KB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Xavierleeeugene/Trading_Strategies

This repository features a collection of in-depth quantitative trading strategies, as well as strategies based on technical analysis.

Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

yaaks7/options-pricing

Options Pricing Project

Language: JavaScript - Size: 6.48 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

JKEVIN2010/Sentiment-Analysis-Stock-Market

Development of sentiment analysis algorithms to understand trends in the stock market

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 3 - 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: about 4 years ago - Stars: 162 - Forks: 37

maxheltzel/MarketQuant

MarketQuant, created by Max Heltzel at Florida Gulf Coast University, is a flexible framework for building financial analysis tools, strategies, quantitative algorithms, or whatever you envision. I encourage innovation and collaboration—so feel free to contribute!

Language: Python - Size: 193 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

greatshi/pybtc

Language: Python - Size: 4.6 MB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 17 - Forks: 4

mrtkp9993/tradesly-pairs-selection

An algorithmic approach to select pairs of stocks for pairs trading.

Language: Python - Size: 136 KB - Last synced at: 7 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

NarrationBox/libkloudtrader 📦

KloudTrader's in-house library designed for rapid prototyping and development of trading strategies. 📈📊📉

Language: Python - Size: 10.9 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 5

JPL-JUNO/Quantitative

关于量化

Language: Jupyter Notebook - Size: 225 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

miindisponi99/Statistical-Factor-Model

Implemented a statistical factor model using Asymptotic Principal Component Analysis (APCA) and various weighting strategies to improve the performance of a basket of Italian stocks relative to a benchmark (FTSEMIB)

Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

miindisponi99/Statistical-Arbitrage-Emerging-Markets

Built a pairs trading strategy in emerging markets using a rolling Kalman-filter beta and spread half-life, with z-score position sizing, and comprehensive back-testing with liquidity adjustments and transaction cost analysis for enhanced risk management

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

just-nilux/MultiFreq Fork of Ph3nol/FT-Trading-Bot

Create and manage multiple Freqtrade (trading bot) docker container

Language: Python - Size: 483 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 4

d-roizman/arbitrage-algorithms

Statistical arbitrage algorithms implemented in python

Language: Python - Size: 33.2 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0