djangu-algo Goto Github PK

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.

arfima

Python implementation of ARFIMA process with an aim to simulate series.

aspromatis

How to Ingesting Your Own Zipline Data Bundle

asset_comparison_toolbox_i

Toolbox I for asset comparison. Visualization - Volatility - Scatter Matrix - Correlation Coefficient - Regression Analysis I

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-ssl4ts

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

awesome-tda

A curated list of topological data analysis (TDA) resources and links.

awesome-time-series

Resources for working with time series and sequence data

awesome_catboost

The repository to showcase the best framework for tabular data - the Awesome CatBoost

balanced-jump

Yuqi's 513 project

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

blackbox-trading-cnn

Time Series Classification with Convolutional Neural Network: Automated Trading by Pattern Recognition (Master's Thesis)

bocd

Python implementation of Bayesian online changepoint detection

book

Course Reader based on Jupyter-Book

caerus

Detection of favorable moments in time series data

cftc-cot

Parses historical and current CFTC Commitments of Traders reports into easy-to-use pandas dataframes

computervisionregression

conformal-prediction

conformal-prediction-mapie-algotrading101

Conformal Prediction - A Practical Guide with MAPIE

contagion_simulations_in_social_networks

continuous-jump-model

Code base for the paper "Continuous Statistical Jump Models for Identifying Financial Regimes"

cookstock

Mark Minervini's volatility contraction pattern detection, stage 2 template searching

cot_reports

cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Trad

deep_learning_machine_learning_stock

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

democudavnl

a demo program for combining CUDA with VNL optimization

dermanpapers

Notebooks that replicate original quantitative finance papers from Emanuel Derman

diachronic-text-analysis

Diachronic text analysis in Python