project-config.json

{
  "projects": [
    {
      "id": "asset-cluster-migration",
      "name": "Asset Cluster Migration",
      "repo_path": "Asset-Cluster-Migration",
      "github": "https://github.com/studyalwaysbro/asset-cluster-migration",
      "category": "Research",
      "color": "#e94560",
      "featured": true,
      "visible": true,
      "description": "My thesis project and the thing I'm most proud of right now. This is a deep dive into how asset clusters fall apart and rebuild themselves when geopolitical chaos hits. I built the whole pipeline from scratch: spectral clustering, transfer entropy networks, hidden Markov models for regime detection, and a bunch of novel metrics that didn't exist before I needed them. 91 ETFs across 8 asset classes, years of data, and some genuinely surprising findings about how information flows between markets when everything goes sideways.",
      "tags": [
        "Python",
        "Spectral Clustering",
        "Transfer Entropy",
        "HMM",
        "NetworkX",
        "Graph Theory"
      ]
    },
    {
      "id": "jenkins-discord-bot",
      "name": "Jenkins the Law",
      "repo_path": "jenkins",
      "github": "https://github.com/studyalwaysbro/jenkins-discord-bot",
      "category": "Bot",
      "color": "#f59e0b",
      "featured": true,
      "visible": true,
      "description": "Jenkins is an AI bot with a full personality, real voice, and opinions about everything. He lives in our Discord server and has 7 different alter egos he switches between, real time voice chat through ElevenLabs, persistent memory so he actually remembers conversations, and an autonomous preaching schedule where he lectures the server on random topics. Built him as a passion project and he's honestly become a real member of the community at this point.",
      "tags": [
        "discord.js",
        "DeepSeek",
        "ElevenLabs",
        "Node.js",
        "Telegram"
      ]
    },
    {
      "id": "stock-signal-engine",
      "name": "Stock Signal Engine",
      "repo_path": "stock-signal-engine",
      "github": "https://github.com/studyalwaysbro/stock-signal-engine",
      "github_private": true,
      "category": "ML Pipeline",
      "color": "#4361ee",
      "featured": true,
      "visible": true,
      "description": "A personal ML research project exploring ensemble methods across 4 model architectures (XGBoost, Random Forest, GRU, TFT). Models train daily on historical data, a meta-learner combines outputs, and an LLM judge cross-checks results with macro context. The whole thing runs on cron jobs with automated retraining, staleness checks, and daily report generation. Built purely as a learning exercise in production ML engineering \u2014 not financial advice or a trading system. This is the project where I learned the most about building systems that actually run without babysitting.",
      "tags": [
        "TensorFlow",
        "XGBoost",
        "GRU",
        "TFT",
        "Python",
        "DuckDB"
      ]
    },
    {
      "id": "ticker-prophet",
      "name": "Ticker Prophet",
      "repo_path": "ticker-prophet",
      "github": "https://github.com/studyalwaysbro/ticker-prophet",
      "github_private": true,
      "category": "Bot",
      "color": "#2dd4bf",
      "featured": false,
      "visible": true,
      "description": "A personal data lookup tool I built to satisfy my own curiosity about how real-time API integrations work. Pulls quotes, charts, and fundamentals for various asset classes. The interesting engineering challenge was building a unified interface across multiple data providers and learning how to work with financial APIs at scale. Purely a personal learning project.",
      "tags": [
        "Node.js",
        "FMP API",
        "DeepSeek"
      ]
    },
    {
      "id": "polymarket-agents",
      "name": "Polymarket Agents",
      "repo_path": "Polymarket_Agents",
      "github": "https://github.com/studyalwaysbro/Polymarket_Agents",
      "category": "Research",
      "color": "#e94560",
      "featured": true,
      "visible": true,
      "description": "A multi agent research system that analyzes prediction markets using CrewAI. Four specialized AI agents work together to pull sentiment data from 8 different sources, run ensemble NLP analysis (VADER, TextBlob, and LLM scoring), and cross reference with Kalshi and Manifold data. Originally built to find pricing gaps in Polymarket, the research actually proved these markets are surprisingly efficient. The real value ended up being the infrastructure itself.",
      "tags": [
        "CrewAI",
        "DeepSeek",
        "FastAPI",
        "PostgreSQL",
        "LangChain",
        "GDELT"
      ]
    },
    {
      "id": "twitter-agent",
      "name": "Twitter Agent",
      "repo_path": "twitter-agent",
      "github": "https://github.com/studyalwaysbro/twitter-agent",
      "github_private": true,
      "category": "Automation",
      "color": "#4361ee",
      "featured": false,
      "visible": true,
      "description": "An automated content pipeline for Twitter/X. DeepSeek drafts posts based on recent ML research and academic topics, then queues them for human review before posting. Nothing goes out without a person looking at it first, but it handles all the drafting and scheduling.",
      "tags": [
        "Python",
        "DeepSeek",
        "Twitter API"
      ]
    },
    {
      "id": "yeet-terminal",
      "name": "YeetTerminal",
      "repo_path": "yeet-terminal",
      "github": null,
      "github_private": true,
      "category": "Learning Project",
      "color": "#2dd4bf",
      "featured": false,
      "visible": true,
      "description": "A personal learning project where I taught myself React by building a multi tab data dashboard. 16 different views covering various data visualizations and API integrations. Purely educational, built it because I wanted to understand how frontend frameworks actually work after years of only writing Python.",
      "tags": [
        "React",
        "Vite",
        "REST APIs",
        "Data Visualization"
      ]
    },
    {
      "id": "openclaw-bot",
      "name": "OpenClaw Bot",
      "repo_path": "openclaw-bot",
      "github": null,
      "category": "Bot",
      "color": "#f59e0b",
      "featured": false,
      "visible": false,
      "description": "Discord server management bot with audio features. Handles server automation, game nights, economy system, and achievement tracking for our community.",
      "tags": [
        "discord.js",
        "Node.js"
      ]
    },
    {
      "id": "daily-reminders",
      "name": "Daily Reminders",
      "repo_path": "daily-reminders",
      "github": null,
      "category": "Utility",
      "color": "#2dd4bf",
      "featured": false,
      "visible": false,
      "description": "Simple daily checklist app. Tasks persist but checkboxes reset every day. Built it for personal use.",
      "tags": [
        "HTML",
        "JavaScript"
      ]
    },
    {
      "id": "api-monitor",
      "name": "Api Monitor",
      "repo_path": "api-monitor",
      "github": null,
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "_auto_discovered": true
    },
    {
      "id": "legacy-python-scripts",
      "name": "Legacy Python Scripts",
      "repo_path": "legacy-python-scripts",
      "github": null,
      "category": "Research",
      "color": "#e94560",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Python"
      ],
      "_auto_discovered": true
    },
    {
      "id": "portfolio-council",
      "name": "Portfolio Council",
      "repo_path": "portfolio-council",
      "github": null,
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "_auto_discovered": true
    },
    {
      "id": "ice-cream-forecasting",
      "name": "Ice Cream Production Forecasting",
      "repo_path": "Ice-Cream-Production-Forecasting",
      "github": "https://github.com/studyalwaysbro/Ice-Cream-Production-Forecasting",
      "category": "Research",
      "color": "#e94560",
      "featured": false,
      "visible": true,
      "description": "Full ARIMA/SARIMA time series forecasting pipeline. Built this for a class project but went way deeper than required. Includes exploratory data analysis, stationarity testing, model selection with AIC/BIC, residual diagnostics, and out-of-sample forecasting. Good example of how I approach a statistics problem from scratch.",
      "tags": [
        "Python",
        "ARIMA",
        "SARIMA",
        "Statsmodels",
        "Time Series"
      ]
    },
    {
      "id": "python-learning-lab",
      "name": "Python Learning Lab",
      "repo_path": "python-learning-lab",
      "github": null,
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Python"
      ],
      "_auto_discovered": true
    }
  ],
  "excluded_repos": [
    "studyalwaysbro.github.io",
    "actual-budget",
    "actual-dashboard",
    "Polymarket-Agents",
    "polymarket_debate.py",
    "polymarket_debate_output.md",
    "startup-dashboard.sh",
    "intro-ml-study"
  ]
}