← 返回首页
WideSu (Anni HUANG) · GitHub
Skip to content

Navigation Menu

Toggle navigation
Sign in
Appearance settings
Search or jump to...

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Include my email address so I can be contacted

Saved searches

Use saved searches to filter your results more quickly

Appearance settings
Resetting focus
Building
Building
Block or report user

Block or report WideSu

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Add an optional note
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Block user
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
WideSu/README.md

👋 Hi, I'm Anni HUANG

AI Developer building tools for smarter trading. I actively trade on IBKR (>30% annual returns) and channel that experience into practical applications for retail investors.

Current focus: Trading systems · Risk management · AI/ML applications in finance

🔥 Featured Projects

Trading & Finance

  • Risk System (2025) — Real-time margin monitoring

  • Stock Recommendation System (2019) — ML models beating S&P 500

  • Banking System Backend (2025) — Thread-safe backend

🤖 Machine Learning

  • Session-based Recommendation (2022) — Amazon baby products

  • Multilingual NER (2022) — Low-resource languages

  • Credit Risk Detection (2022) — Loan applicant assessment

📁 View more projects →
  • Breast Cancer Detection (2019) — CNN classifier

  • Lecture Note Assistant (2019) — Audio transcription

  • Compiler Design (2019) — C- language compiler

  • Smart Cinema Seat Recommender (2025) — Spatial optimization

📊 Trading Snapshot

{ 'style': 'Intraday(10%) + Long-term(90%)', 'platform': 'IBKR', 'annual_return': '>30%', 'edge': 'Technical insight + financial thinking to identify undervalued stocks' }

Pinned Loading

  1. Stock-recommandation-via-machine-learning-algorithms Stock-recommandation-via-machine-learning-algorithms Public

    A stock investment assistant tool which utilized supervised machine learning models such as Logistic Regression, Random Forest, and Support Vector Machine to predict the stock’s 60 days’ return rat…

    Jupyter Notebook 3

  2. University_Timetabling University_Timetabling Public

    An AI planning project based on the 2019 international university timetabling competition which used commercial software IBM CPLEX to generate feasible course timetables with minimum penalty.

    Jupyter Notebook 22

  3. risk-system-backend risk-system-backend Public

    This Risk Management Backend System is designed to fetch stock data, manage client positions, and monitor margin requirements in real time. Built using FastAPI for rapid API development, it utilize…

    Python 1

  4. CreditRiskDetection CreditRiskDetection Public

    A data analysis project to classify whether an applicant is capable of paying a home loan by using 4 machine learning models (Logistic Regression, SVM, Random Forest and LGBM) and 1 deep learning m…

    Jupyter Notebook 2 1

  5. banking_system_backend banking_system_backend Public

    This is an in memory thread-safe backend of a banking system that supports basic functions in banks, including deposit/withdrawal and transfer between accounts.

    Python

Footer

© 2026 GitHub, Inc.