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Fork this template for the 100 days journal - to keep yourself accountable
Several diverse-universe market-agnostic trading algos that I like, cribbed from the open Community Forums at Quantopian
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf
Mostly experiments based on "Advances in financial machine learning" book
Cryptocurrency trades aggregator
This is the code for "AI for Financial Data" By Siraj Raval on Youtube
This is the code for "AI in Finance" By Siraj Raval on Youtube
Algorithmic trading strategy developed in pinescript for Tradingview
All candlestick patterns indicator (所有技术形态指标) in TradingView
Alpaca Trading API integrated with backtrader
Performance analysis of predictive (alpha) stock factors
A股实盘交易SDK
Generate various Alternative Bars both historically and at real-time.
AtsPy: Automated Time Series Models in Python (by @firmai)
The AutoGPT MetaTrader Plugin is a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.
Automated Trading: Trading View Strategies => Bitfinex, itBit, DriveWealth
₿ A guide (for humans!) to cryto-currencies and their algos.
List of awesome resources for machine learning-based algorithmic trading
Awesome Hacking Tools
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A Comprehensive Collection of Everything Related to Tradingview Pine Script.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Quant/Algorithm trading resources with an emphasis on Machine Learning
Reinforcement learning resources curated
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
This curated list contains python packages for time series analysis
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Automated cryptocurrency trading bot
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.