{
 "$schema": "https://fundingjson.org/schema/v1.1.0.json",
 "version": "v1.0.0",
 "entity": {
  "type": "individual",
  "role": "maintainer",
  "name": "Ayan Jain",
  "email": "ayanjain259@gmail.com",
  "description": "Independent quantitative researcher. I build point-in-time market data and audit backtests; backtest-bias is the open library of measured bias constants behind that work.",
  "webpageUrl": {
   "url": "https://financebroski.com",
   "wellKnown": "https://financebroski.com/.well-known/funding-manifest-urls"
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 },
 "projects": [
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   "guid": "backtest-bias",
   "name": "backtest-bias",
   "description": "Survivorship and data-integrity checks for financial price panels, built on measured constants rather than folklore. Measured and published: 24% of India's 2015 top-500 is invisible to free data; 25.7% of the 2010 S&P 500 (20.1% for 2015); a survivor filter moves a US backtest +0.4 to +1.0 pp/yr, and four recycled tickers moved it 1.7 pp/yr, more than the bias itself. One-line checks for survivorship holes, ticker recycling, and universe construction. Audience: retail quants who cannot afford institutional survivorship-free data, which in India is nearly everyone who backtests. Everything public and git-timestamped: PyPI (backtest-bias), a public ledger of 143 failed strategies, SSRN paper 7099378, Kaggle dataset + notebook, weekly write-ups.",
   "webpageUrl": {
    "url": "https://financebroski.com",
    "wellKnown": "https://financebroski.com/.well-known/funding-manifest-urls"
   },
   "repositoryUrl": {
    "url": "https://github.com/Finance-broski/backtest-bias",
    "wellKnown": "https://github.com/Finance-broski/backtest-bias/blob/main/.well-known/funding-manifest-urls"
   },
   "licenses": [
    "spdx:MIT"
   ],
   "tags": [
    "finance",
    "data-quality",
    "backtesting",
    "python",
    "quant"
   ]
  }
 ],
 "funding": {
  "channels": [
   {
    "guid": "bank",
    "type": "bank",
    "description": "Bank transfer (details on request)"
   }
  ],
  "plans": [
   {
    "guid": "maintainer-year",
    "status": "active",
    "name": "Maintainer support, 12 months",
    "description": "12 months of maintainer support. Milestones: (1) US calibration constants v1; first release SHIPPED 2026-08-13 (Substack Issue #10 + Kaggle dataset). (2) Ticker-identity toolkit: reanimation + first-bar detectors wired into the library. (3) Open US corporate-death registry, every entry with a source URL; 139-name seed staged. (4) Multi-market death-rate comparison: India + US measured, China leg in design. Quarterly community write-ups throughout.",
    "amount": 500000,
    "currency": "INR",
    "frequency": "one-time",
    "channels": [
     "bank"
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   },
   {
    "guid": "research-year",
    "status": "active",
    "name": "Full-time research year",
    "description": "Everything in the maintainer plan, done full time for a year, sized for a fund that writes larger cheques: the US corporate-death registry completed with a sourced exit for every invisible S&P name (seed of 139 public), the identity toolkit shipped (check_identity and check_universe went live in v0.2.0), price-level look-ahead checks (v0.3), the India-US-China death-rate comparison finished, and the public datasets (Kaggle + the live auction ledger) hosted and maintained. Quarterly write-ups.",
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    "currency": "INR",
    "frequency": "one-time",
    "channels": [
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 }
}