{"id":2,"date":"2024-04-01T22:14:13","date_gmt":"2024-04-01T22:14:13","guid":{"rendered":"http:\/\/134.209.140.214\/?page_id=2"},"modified":"2026-09-01T22:08:11","modified_gmt":"2026-09-01T22:08:11","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/www.yuanjunlin.com\/index.php\/sample-page\/","title":{"rendered":"Current Data Project"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\"><em>Quantitative Financial Modeling and Market Research<\/em><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">This project focuses on applying data science and machine learning techniques to financial market analysis. The work includes collecting and processing market data, developing statistical and predictive models, evaluating trading signals, and building repeatable research workflows in Python.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Current areas of work include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Financial and market data collection, cleaning, and feature engineering<\/li>\n\n\n\n<li>Statistical modeling and exploratory analysis<\/li>\n\n\n\n<li>Machine learning models for prediction and classification<\/li>\n\n\n\n<li>Backtesting and evaluation of quantitative strategies<\/li>\n\n\n\n<li>Risk analysis and performance monitoring<\/li>\n\n\n\n<li>Development of reusable research and analytical tools<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The project is organized around several ongoing Python \/ Jupyter Notebook workflows, with regularly generated analytical outputs used to evaluate model behavior, strategy performance, and market conditions over time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The goal is to develop practical quantitative research systems that combine statistical reasoning, machine learning, software development, and financial analysis. Selected models and strategies are tested in live market environments using privately managed capital.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tools and technologies include Python, Jupyter Notebook, pandas, NumPy, scikit-learn, statistical modeling libraries, financial data APIs, and custom data-processing and backtesting workflows.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Selected Outputs<\/strong><\/h3>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<p class=\"wp-block-paragraph\"><strong>Unstructured Data Viewer<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"366\" src=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-4-1024x366.png\" alt=\"\" class=\"wp-image-171\" style=\"aspect-ratio:2.798053527980535\" srcset=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-4-1024x366.png 1024w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-4-300x107.png 300w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-4-767x274.png 767w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-4-2048x732.png 2048w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-4-1536x549.png 1536w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><br>An interactive viewer for recent FMP data, including market news, industry snapshots, economic calendar views, COT data, commodity trend views, and ticker profile lookup. The app supports cached API calls, saved focus lists, request URL inspection, and downloadable tables.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<p class=\"wp-block-paragraph\"><strong>Daily Model Picks<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<p class=\"wp-block-paragraph\">A time-series stock timing research app using lagged technical, liquidity, volatility, score, and market-cap features. The app supports lag-feature scans, gradient boosting \/ ridge models, out-of-sample IC evaluation, quantile return curves, rolling stability charts, daily decision candidates, saved models, and latest-date prediction.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"366\" src=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/ScreenShot_2026-09-01_115734_143-1024x366.png\" alt=\"\" class=\"wp-image-169\" style=\"aspect-ratio:2.7980145093547155\" srcset=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/ScreenShot_2026-09-01_115734_143-1024x366.png 1024w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/ScreenShot_2026-09-01_115734_143-300x107.png 300w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/ScreenShot_2026-09-01_115734_143-767x274.png 767w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/ScreenShot_2026-09-01_115734_143-1536x549.png 1536w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/ScreenShot_2026-09-01_115734_143-2048x732.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Multi-Factor Dashboard<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"757\" src=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-5-1024x757.png\" alt=\"\" class=\"wp-image-172\" srcset=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-5-1024x757.png 1024w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-5-300x222.png 300w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-5-767x567.png 767w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-5-1536x1135.png 1536w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-5.png 1719w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><br>A multi-factor dashboard for ETF proxy factor comparison, local top-basket factor replication, weekly rotation preview, benchmark comparison, and simple machine-learning factor selector training and prediction.<\/p>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Quick Feature\/Factor Backtest<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<p class=\"wp-block-paragraph\">A configurable LightGBM backtest runner for selecting split dates, objectives, features, regularization parameters, and portfolio construction settings. The app runs model training\/backtesting and displays command output, equity curve, daily details, and feature importance.<\/p>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"356\" src=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-7-1024x356.png\" alt=\"\" class=\"wp-image-174\" srcset=\"https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-7-1024x356.png 1024w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-7-300x104.png 300w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-7-767x267.png 767w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-7-1536x534.png 1536w, https:\/\/www.yuanjunlin.com\/wp-content\/uploads\/2026\/09\/image-7-2048x713.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Quantitative Financial Modeling and Market Research This project focuses on applying data science and machine learning techniques to financial market analysis. The work includes collecting and processing market data, developing statistical and predictive models, evaluating trading signals, and building repeatable research workflows in Python. Current areas of work include: The project is organized around several &#8230; <a title=\"Current Data Project\" class=\"read-more\" href=\"https:\/\/www.yuanjunlin.com\/index.php\/sample-page\/\" aria-label=\"Read more about Current Data Project\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":2,"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":183,"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/pages\/2\/revisions\/183"}],"wp:attachment":[{"href":"https:\/\/www.yuanjunlin.com\/index.php\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}