AI Platform
MeShare: China Macroeconomic Data Library
A Python library for China macroeconomic data, designed as a streamlined fork of AKShare and paired with bilingual documentation for data lookup, charts, and macro analysis workflows.
- Focused China macro data APIs spanning GDP, prices, PMI, finance, rates, bonds, and FX
- Handbook and datasets organized by macro workflow from GDP to policy tracking
- Bilingual docs, chart galleries, and an agent advisor built on the same pipeline
AI Skill
Macro Desk: Skill for Industry Macro Research Drafting
An AI skill for automatically drafting macro research notes around China data releases. It helps structure previews, event-driven commentaries, thematic briefs, and weekly macro reports with a repeatable workflow.
- Automates first drafts for previews, commentaries, briefs, and weekly reports
- Follows macro release calendars and reusable research templates
- Documentation showcases sample outputs generated by the skill
Code
Macro Quant Strategies
A set of notes and code on macro quant and factor investing, organized from single-factor models to multi-factor systems, factor construction, portfolio optimization, and asset-allocation extensions.
- Builds the theory progressively from CAPM and classic style factors toward broader factor libraries and macro allocation ideas
- Includes code examples for regression-based beta estimation, Newey-West inference, rolling windows, and empirical A-share replications
- Combines conceptual notes with implementation details so the material works both as a study guide and a reusable research notebook
Code
Monetary Economics and Heterogeneous Agent Model
Tutorial notes and code for ECON 5360 Monetary Economics, covering business-cycle models, New Keynesian frameworks, numerical methods, optimal consumption, Aiyagari models, and heterogeneous-agent NK applications.
- Covers RBC models in MATLAB, Dynare, Python, and Julia, giving students multiple implementation paths for the same macro framework
- Extends from tractable New Keynesian setups to optimal consumption, endogenous grid methods, and Aiyagari-style heterogeneous-agent models
- Adds numerical-method tutorials and algorithm comparisons so the notes function as both course support and a computational macro reference
Data
Lianjia Housing Transaction Data Pipeline
A Selenium-based data collection pipeline for Lianjia housing transaction records, designed for housing market research. The project supports batch scraping by district, checkpoint resume, CAPTCHA-aware interruption handling, and structured Excel export.
- Housing transaction data collection for Lianjia city sites using Guangzhou as the working example
- Checkpoint resume and partial-save workflow for long-running scraping tasks
- Structured export for downstream housing market analysis and research use
- For more data from other cities and longer periods, please contact me.
Data
Discount Rates and MPC among Food Delivery Couriers
A survey-based project on intertemporal choice and consumption behavior among food delivery couriers. The study asks how large discount rates and marginal propensities to consume are in practice and what personal and economic characteristics shape them.
- Estimates discount rates from a large-scale survey of food delivery riders
- Measures MPC and links it to rider characteristics and economic conditions
- Based on two survey waves covering roughly 40,000 respondents
