{
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      "Founder of Regime Analytics",
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  "topics": [
    "Predictive analytics",
    "Statistical market regimes",
    "Quantitative research",
    "Machine learning",
    "Data journalism"
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    "url": "https://erikabarker.ai/contact/",
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      "description": "Quantitative research platform for systematic equity analysis and statistical market regimes.",
      "url": "https://regimeanalytics.com/",
      "methodologyUrl": "https://regimeanalytics.com/methodology",
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      "limitations": "Platform research is not presented here as independently audited investment returns."
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      "name": "KAMA Z-score",
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      "description": "Pine Script indicator, Python reference implementation and archived research report.",
      "url": "https://erikabarker.ai/data-analysis/z-score-indicator-lessons/",
      "repositoryUrl": "https://github.com/erikabarker/zscore-pro-kama",
      "researchUrl": "https://github.com/erikabarker/zscore-pro-kama/blob/v0.1.0/docs/research.md",
      "limitations": "Numerical Pine/Python parity is not established. The archived study used an earlier implementation; public code does not establish a trading edge."
    },
    {
      "name": "Market-mood dashboard",
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      "url": "https://erikabarker.ai/finance/i-built-a-serverless-dashboard-that-predicts-market-mood/",
      "description": "Project history preceding Regime Analytics; the former model is not active."
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  "articles": [
    {
      "title": "What My Z-Score Indicator Taught Me About Chasing Better Numbers",
      "url": "https://erikabarker.ai/data-analysis/z-score-indicator-lessons/",
      "description": "Lessons from building a KAMA Z-score indicator: backtest overfitting, market regimes, and open-source Pine Script and Python code you can inspect.",
      "author": "Erika Barker",
      "publishedAt": "2026-10-23T19:54:01Z",
      "updatedAt": "2026-10-24T18:39:53Z",
      "type": "Research commentary",
      "topics": [
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        "Finance"
      ]
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    {
      "title": "Michael Burry, the AI boom, and the bill that comes due",
      "url": "https://erikabarker.ai/finance/the-ai-bubble-anatomy-an-end-to-end-analysis-of-structural-risk-and-capital-decay/",
      "description": "Why I take Michael Burry seriously, where I question his arguments, and how AI spending, GPU lifetimes and circular financing shape the investment case.",
      "author": "Erika Barker",
      "publishedAt": "2026-01-19T05:01:33.000Z",
      "updatedAt": "2026-10-24T15:27:06Z",
      "type": "Research commentary",
      "topics": [
        "Finance"
      ]
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    {
      "title": "From market mood to Regime Analytics",
      "url": "https://erikabarker.ai/finance/i-built-a-serverless-dashboard-that-predicts-market-mood/",
      "description": "The retired economic-dashboard prototype that helped shape Erika Barker’s interest in predictive analytics and statistical market regimes.",
      "author": "Erika Barker",
      "publishedAt": "2025-09-25T15:19:07.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Project history",
      "topics": [
        "Finance",
        "Projects"
      ]
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    {
      "title": "Palantir and the price of moving faster",
      "url": "https://erikabarker.ai/data-analysis/the-palantir-paradox-democracys-most-dangerous-servant/",
      "description": "My military procurement experience helps me understand Palantir’s appeal. It also leaves me asking what faster decisions cost democratic accountability.",
      "author": "Erika Barker",
      "publishedAt": "2025-06-28T14:48:51.000Z",
      "updatedAt": "2026-10-23T21:11:30.878Z",
      "type": "Analysis",
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        "Culture"
      ]
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      "title": "What the data says about the American middle class",
      "url": "https://erikabarker.ai/culture/the-shrinking-middle-class-will-america-collapse-by-2032/",
      "description": "What middle-class security means beyond an income label: housing, savings, ownership and the freedom to make choices, with sourced charts and a household-budget example.",
      "author": "Erika Barker",
      "publishedAt": "2025-02-16T17:09:15.000Z",
      "updatedAt": "2026-10-24T17:19:09Z",
      "type": "Research commentary",
      "topics": [
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        "Data",
        "Finance",
        "Tech & AI"
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    {
      "title": "Gradient boosting: how the trees learn together",
      "url": "https://erikabarker.ai/tech/why-gradient-boosting-decision-trees-are-taking-over-data-science-and-why-you-should-care/",
      "description": "An explanation of boosting, loss functions and regularization, with practical limits on interpretability and financial-model evaluation.",
      "author": "Erika Barker",
      "publishedAt": "2025-01-07T21:14:54.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Explainer",
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        "Data"
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    {
      "title": "Miami keeps building. Who can afford to live in it?",
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      "description": "From a Wynwood balcony to the household budget: Miami rents, local wages, transportation costs and the businesses that make a neighborhood worth living in.",
      "author": "Erika Barker",
      "publishedAt": "2024-09-25T15:49:44.000Z",
      "updatedAt": "2026-10-24T16:36:54Z",
      "type": "Research commentary",
      "topics": [
        "Finance",
        "Data"
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    {
      "title": "Comparing the US and China: measure before forecasting",
      "url": "https://erikabarker.ai/finance/us-china-economic-dynamics/",
      "description": "A framework for comparing economic output, financial markets and cross-border investment without treating them as interchangeable measures.",
      "author": "Erika Barker",
      "publishedAt": "2024-08-29T17:02:02.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Methods note",
      "topics": [
        "Finance",
        "Mathematics"
      ]
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    {
      "title": "Composite market scores: useful summaries, fragile assumptions",
      "url": "https://erikabarker.ai/finance/composite-scoring-for-market-analysis/",
      "description": "How to normalize market indicators, expose weights and test a composite without confusing ETF prices, overlapping holdings or retrospective fit.",
      "author": "Erika Barker",
      "publishedAt": "2024-08-05T19:52:01.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Methods note",
      "topics": [
        "Finance",
        "Data"
      ]
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    {
      "title": "Quantitative analyst vs. data scientist: compare the work",
      "url": "https://erikabarker.ai/finance/what-is-a-quantitative-analyst-how-are-they-different-from-a-data-scientist/",
      "description": "How quantitative finance and data science overlap, where their objectives differ, and what evidence makes a portfolio useful to a hiring team.",
      "author": "Erika Barker",
      "publishedAt": "2024-06-05T18:36:17.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
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        "Mathematics"
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    {
      "title": "Editorial standards and how this site uses AI",
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      "description": "How Erika Barker’s site distinguishes sources, analysis, experiments and AI assistance, and how substantive corrections are recorded.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-27T17:15:15.000Z",
      "updatedAt": "2026-10-23T21:28:03Z",
      "type": "Editorial policy",
      "topics": [
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        "Projects"
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    {
      "title": "My HMA Z-score indicator: distance is not probability",
      "url": "https://erikabarker.ai/data-analysis/my-zscore-indicator-with-hma/",
      "description": "A project note on standardizing a Hull moving average, the limits of normal-distribution interpretations and what a trading validation would require.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-26T15:38:41.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Project note",
      "topics": [
        "Data",
        "Finance",
        "Projects"
      ]
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    {
      "title": "What running taught me about doing enough",
      "url": "https://erikabarker.ai/culture/how-running-helped-my-depression-and-adhd/",
      "description": "Running helped me manage anxiety, ADHD and the isolation of the pandemic. Then I learned when a useful routine could become another way to avoid my life.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-25T15:39:31.000Z",
      "updatedAt": "2026-10-23T20:49:47.688Z",
      "type": "Personal essay",
      "topics": [
        "Culture"
      ]
    },
    {
      "title": "Conformal abstention: when a language model should decline",
      "url": "https://erikabarker.ai/tech/deepminds-new-approach-to-avoiding-hallucinations-in-large-language-models/",
      "description": "What the 2024 conformal-abstention paper proposes, how calibration enters the method, and why statistical error control is not a guarantee of truth.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-23T18:16:54.000Z",
      "updatedAt": "2026-10-23T20:08:43Z",
      "type": "Research commentary",
      "topics": [
        "Tech & AI"
      ]
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    {
      "title": "Kernel methods in machine learning and finance",
      "url": "https://erikabarker.ai/data-analysis/how-kernel-methods-work-in-ml-and-finance/",
      "description": "How kernels represent similarity, what an RBF kernel does, and how to evaluate a nonlinear model without confusing a flexible fit with predictive evidence.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-23T16:19:18.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Explainer",
      "topics": [
        "Data",
        "Finance",
        "Mathematics",
        "Tech & AI"
      ]
    },
    {
      "title": "Why I like the Hull moving average",
      "url": "https://erikabarker.ai/data-analysis/why-i-love-the-hull-moving-average-hma/",
      "description": "How Alan Hull’s moving average combines weighted averages, where the square-root window enters, and why a responsive line is not a trading edge.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-23T14:59:40.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Explainer",
      "topics": [
        "Data",
        "Finance",
        "Mathematics"
      ]
    },
    {
      "title": "What the Riemann hypothesis actually says",
      "url": "https://erikabarker.ai/tech/what-is-the-riemann-hypothesis/",
      "description": "An introduction to the zeta function, prime numbers and the limits of what a proof of the Riemann hypothesis would establish.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-23T03:29:44.000Z",
      "updatedAt": "2026-10-23T20:08:43Z",
      "type": "Explainer",
      "topics": [
        "Tech & AI",
        "Mathematics"
      ]
    },
    {
      "title": "Markov chains, explained with a two-state example",
      "url": "https://erikabarker.ai/data-analysis/2524/",
      "description": "A complete transition-matrix example, a stationary distribution and the assumptions that limit Markov models in economic and financial research.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-15T01:46:16.000Z",
      "updatedAt": "2026-10-23T20:08:43Z",
      "type": "Explainer",
      "topics": [
        "Data",
        "Finance",
        "Mathematics",
        "Tech & AI"
      ]
    },
    {
      "title": "Game theory and markets: what Nash equilibrium explains",
      "url": "https://erikabarker.ai/mathematics/how-did-game-theory-power-jim-simons-medallion-fund/",
      "description": "From World of Warcraft raids to Jim Simons and market regimes: how strategic incentives shape decisions, and where Nash equilibrium stops explaining.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-11T19:29:27.000Z",
      "updatedAt": "2026-10-24T17:58:01Z",
      "type": "Explainer",
      "topics": [
        "Mathematics",
        "Data",
        "Finance"
      ]
    },
    {
      "title": "Understanding the economy without misleading plumbing",
      "url": "https://erikabarker.ai/finance/understanding-the-economy-money-flow-federal-reserve-and-financial-strategies/",
      "description": "A guide to GDP accounting, money, credit and inflation that separates useful metaphors from causal claims.",
      "author": "Erika Barker",
      "publishedAt": "2024-05-03T19:15:55.000Z",
      "updatedAt": "2026-10-23T21:27:06Z",
      "type": "Explainer",
      "topics": [
        "Finance"
      ]
    },
    {
      "title": "Making AI-assisted data work easier to verify",
      "url": "https://erikabarker.ai/tech/chat-gpt-efficiency/",
      "description": "A practical workflow for dividing research tasks, checking generated code and distinguishing a model’s answer from evidence.",
      "author": "Erika Barker",
      "publishedAt": "2024-04-11T23:41:15.000Z",
      "updatedAt": "2026-10-23T21:28:03Z",
      "type": "Methods note",
      "topics": [
        "Tech & AI"
      ]
    },
    {
      "title": "The law of large numbers—and the stories it cannot prove",
      "url": "https://erikabarker.ai/mathematics/understanding-law-of-large-numbers-applications/",
      "description": "Why sample averages can stabilize, why repeated trials do not erase selection bias, and how a perfect prediction record can be manufactured.",
      "author": "Erika Barker",
      "publishedAt": "2024-03-07T18:09:00.000Z",
      "updatedAt": "2026-10-23T20:08:43Z",
      "type": "Explainer",
      "topics": [
        "Mathematics",
        "Data"
      ]
    },
    {
      "title": "How binary represents numbers, text and instructions",
      "url": "https://erikabarker.ai/videos/how-binary-code-makes-computers-work/",
      "description": "Bits do not come with built-in meaning. A short guide to binary numbers, character encodings and the role of conventions in computing.",
      "author": "Erika Barker",
      "publishedAt": "2024-03-07T04:24:18.000Z",
      "updatedAt": "2026-10-23T20:08:43Z",
      "type": "Explainer",
      "topics": [
        "Videos"
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}