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Place DUEL scoring and hosted macro and market data by function (#689)

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@@ -364,6 +364,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
## Factor Analysis
- [DUEL](https://github.com/duelstocks/duel-algorithm) - `Python` `SEC EDGAR` - Open-source algorithm that scores two US-listed companies against each other on 8 fundamentals computed directly from SEC EDGAR XBRL data (10-K/10-Q); live comparison tool at duelstocks.com.
- [factor-qc](https://github.com/holdout-labs/factor-qc) - `Python` - Fail-closed quality gate for backtests and factor evidence: DSR/PBO/haircut/MinTRL plus a probability-calibration companion gate.
- [lookahead-free](https://github.com/holdout-labs/lookahead-free) - `Python` - Verifiable look-ahead freedom for the value-independent fragment of data pipelines, with a heuristic companion scanner for research code.
@@ -506,17 +507,14 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [fedfred](https://nikhilxsunder.github.io/fedfred/) - `Python` - FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes.
- [edgar-sec](https://github.com/toros-dev/edgar-sec) - `Python` - EDGAR Financial data API with preprocessed dataclass outputs.
- [edgartools](https://github.com/dgunning/edgartools) - `Python` - AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.
- [DUEL](https://github.com/duelstocks/duel-algorithm) - `Python` `SEC EDGAR` - Open-source algorithm that scores two US-listed companies against each other on 8 fundamentals computed directly from SEC EDGAR XBRL data (10-K/10-Q); live comparison tool at duelstocks.com.
- [edgar-geo-revenue](https://pypi.org/project/edgar-geo-revenue/) - `Python` - Extract geographic revenue breakdowns from SEC EDGAR 10-K filings with no API key. [GitHub](https://github.com/Metricshour/edgar-geo-revenue)
- [filingrail-mcp](https://pypi.org/project/filingrail-mcp/) - `Python` `MCP` - MCP server and Python SDK for a SEC EDGAR REST API covering XBRL fundamentals, Form 4 insider trades, 8-K events, 13F holdings and filings, where every record carries the source sec.gov filing URL it came from. [GitHub](https://github.com/adamhudson777/filingrail-mcp)
- [disclosure-alpha](https://github.com/alwank/disclosure-alpha) - `Python` - Deterministic SEC filing analytics for 10-K/10-Q: section extraction, tone and boilerplate metrics, year-over-year diff, and reproducible disclosure risk scores. CLI, Python SDK, HTTP panel screener, and MCP — no LLM required.
- [edgar-traps](https://pypi.org/project/edgar-traps/) - `Python` - Checks that catch nine silent failure modes in SEC filing data, from Form 4 filings that are about a different issuer to 13F-NT counted as a position report, each documented with the incident that found it. [GitHub](https://github.com/researchaiexe-stack/edgar-traps)
- [buried-events-parser](https://github.com/jaablon/buried-events-parser) - `Python` - FilingFirehose’s standalone SEC 8-K HTML parser using regex rules to flag possible discrepancies between reported item codes and filing text.
- [FXMacroData](https://fxmacrodata.com/) - `Python` - Real-time forex macroeconomic API for all major currency pairs sourced from central bank announcements. [GitHub](https://github.com/fxmacrodata/fxmacrodata)
- [uk-sic-codes](https://pypi.org/project/uk-sic-codes/) - `Python` - UK SIC 2007 industry classification code lookup, search, and validation. 731 codes, 21 sections.
- [uk-company-number](https://pypi.org/project/uk-company-number/) - `Python` - Validate, format, and identify UK Companies House company numbers. Supports all 27 prefixes.
- [veroq-python](https://github.com/Veroq-ai/veroq-python) - `Python` - Financial intelligence API with verified market data, trading signals, sentiment analysis, and fact-checking across 1,061+ tickers. [PyPI](https://pypi.org/project/veroq/)
- [lse-data](https://github.com/londonstrategicedge/lse-data) - `Python` - Live ticks over WebSocket plus historical ticks and candles for stocks, FX, crypto, commodities, indices, ETFs and futures, with options chains and greeks, economics series and government bond yields, across 118,000+ datasets. US stocks from 2003, FX from 2009, options from 2014, economics back to 1900. Free, no subscription tiers. [PyPI](https://pypi.org/project/lse-data/)
- [IBrokers](https://cran.r-project.org/web/packages/IBrokers/index.html) - `R` - Provides native R access to Interactive Brokers Trader Workstation API.
- [Rblpapi](https://github.com/Rblp/Rblpapi) - `R` - An R Interface to 'Bloomberg' is provided via the 'Blp API'.
- [GetTDData](https://github.com/msperlin/GetTDData) - `R` - Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto.
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- [Backtesting Arena](https://tradingstrategies.work/api) - `TypeScript` - Bitcoin cycle scores and market-state indicators through four free public API endpoints requiring no account or key, with responses cached for 5–60 minutes. [GitHub](https://github.com/Schoasch/skill-backtesting-arena)
- [EarningsCall](https://earningscall.biz) - `Python` - Public earnings-call transcripts and an earnings calendar readable without an account, with paid API access for programmatic transcripts, audio and slide decks. [GitHub](https://github.com/EarningsCall/earningscall-python)
- [FXMacroData](https://fxmacrodata.com/) - `Python` - Macroeconomic release data with permanent free access to USD announcements covering the latest 90 days at 100 requests per day without an API key or payment information. [GitHub](https://github.com/fxmacrodata/fxmacrodata)
- [London Strategic Edge](https://londonstrategicedge.com/data/) - `Python` - Free market and economic data with up to 10 databank downloads per hour of one million rows each, subject to a shared monthly bandwidth allowance, without a credit card. [GitHub](https://github.com/londonstrategicedge/lse-data)
## Historical & Archived Projects
- [fooltrader](https://github.com/foolcage/fooltrader) - `Python` `Historical` - Archived big-data quantitative-analysis and trading system retained as an early unified market-data and backtesting framework.