Data and notebooks behind a Substack piece on the 100 percent government debt threshold
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Updated
Sep 12, 2026 - Jupyter Notebook
Data and notebooks behind a Substack piece on the 100 percent government debt threshold
MCP server for FRED® economic data — 800k+ time series + ALFRED vintage data (the numbers before revisions)
Public market data ingestion preserving vintages, so backtests never see a future revision
SEC and macro driven capital markets peer intelligence project with valuation, filing event analysis, and recruiter ready outputs.
Python data fetchers for KeynesWatch macroeconomic dashboards, collecting U.S. and China economic, fiscal, monetary, and labor-market data from public sources into MySQL.
宏观数据采集与可信度验证:多源取数 + 交叉验证 + 缺失分类 + 证据链
Classifying yield curve and inflation regimes using historical FRED data — historical co-occurrence analysis and current macro positioning.
Mapping market stress to yield curve regimes using FRED data — co-occurrence structure, stress behavior, and current macro positioning.
A reproducible LSTM forecasting implementation for the log-transformed Sentiment–Volatility Ratio derived from UMCSI and VIX, featuring data preprocessing, time-series modeling, and empirical evaluation of sentiment-driven market volatility dynamics.
Model Context Protocol Server for the Federal Reserve (FRED) Api
Portfolio performance and risk analytics from daily prices: VaR, Euler risk contributions, drawdowns, benchmark statistics, self-contained HTML report
Your AI-powered watchdog for market instability
Machine Learning & Python in Finance
Exploratory Data Analysis of US Macroeconomic Indicators using Federal Reserve Economic Database FRED API and Python (GDP, CPI, Unemployment, Interest Rates and Stock Market Trends S&P 500)
A fully-typed Elixir client for the Federal Reserve Economic Data (FRED®) API. Covers all 36 endpoints across 7 groups — Categories, Releases, Series, Sources, Tags, GeoFRED Maps, and bulk API v2 — with built-in Cachex caching, frequency-aware TTLs, and automatic retry on rate-limit errors
Classifies market history into named macro regimes from FRED data, then backtests how each sector ETF has performed in each regime since 1999.
PCA decomposition of US Treasury yield curve into Level / Slope / Curvature, with a candid backtest of a PC2 mean-reversion strategy.
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