[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-84044":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":17,"stars90d":15,"forks30d":15,"starsTrendScore":18,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":41,"readmeContent":42,"aiSummary":10,"trendingCount":15,"starSnapshotCount":15,"syncStatus":14,"lastSyncTime":43,"discoverSource":44},84044,"skills","gauss314\u002Fskills","gauss314","Financial market data consumption skills for claude code and AI agents","",null,"Python",133,23,2,0,5,71,81,81.24,"MIT License",false,"main",true,[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,5,40],"agentic-ai","agentic-skill","backtesting","earnings-transcripts","financial-api","financial-data","finviz-scraper","fred-data","google-finance-scraper","macrotrends-scraper","market-screener-scraper","marketwatch-scraper","montecarlo","morningstar-screener-scraper","sec-data","tradingview-data","2026-06-12 04:01:42","# skills\n\nOpen-source collection of skills compatible with the [SKILL.md](https:\u002F\u002Fskills.sh) standard. Developed for the AI courses at UCEMA.\n\n[![skills.sh](https:\u002F\u002Fskills.sh\u002Fb\u002Fgauss314\u002Fskills)](https:\u002F\u002Fskills.sh\u002Fgauss314\u002Fskills)\n\n\n## Data — Global\n\nSkills that extract market data (quotes, historical, fundamentals, screener, etc). Multi-country \u002F global coverage: US, Europe, Asia, and global aggregators.\n\n| # | Skill | Type | Cost | API Key | Instruments |\n|---|-------|------|:-----:|:-------:|--------------|\n| 1 | [FRED Macro](.\u002Fskills\u002Ffred-macro\u002F) | API | ✓ Free | Required | macro-data |\n| 2 | [Alpha Vantage](.\u002Fskills\u002Falpha-vantage\u002F) | API | Freemium | Required | stocks, forex, commodities, fundamentals |\n| 3 | [Yahoo Finance](.\u002Fskills\u002Fyahoo-finance\u002F) | API\u002FScraper | ✓ Free | - | stocks, forex, options, futures, fundamentals |\n| 4 | [SEC Data](.\u002Fskills\u002Fsec-data\u002F) | API | ✓ Free | - | fundamentals |\n| 5 | [Alpaca Data](.\u002Fskills\u002Falpaca-data\u002F) | API | ✓ Free | Required | stocks, options |\n| 6 | [Finnhub](.\u002Fskills\u002Ffinnhub\u002F) | API | Freemium | Required | stocks, forex, fundamentals |\n| 7 | [Finviz](.\u002Fskills\u002Ffinviz\u002F) | Scraper | ✓ Free | - | stocks, fundamentals, screener |\n| 8 | [Macrotrends](.\u002Fskills\u002Fmacrotrends\u002F) | Scraper | ✓ Free | - | stocks, fundamentals |\n| 9 | [MarketScreener](.\u002Fskills\u002Fmarketscreener\u002F) | Scraper | ✓ Free | - | stocks, fundamentals, screener |\n| 10 | [MarketWatch](.\u002Fskills\u002Fmarketwatch\u002F) | Scraper | ✓ Free | - | stocks, options, futures, fundamentals |\n| 11 | [CompaniesMarketCap](.\u002Fskills\u002Fcompaniesmarketcap\u002F) | Scraper | ✓ Free | - | stocks, etfs |\n| 12 | [SimplyWallSt](.\u002Fskills\u002Fsimplywallst\u002F) | API\u002FScraper | ✓ Free | - | stocks, fundamentals |\n| 13 | [EarningsWhispers](.\u002Fskills\u002Fearningswhispers\u002F) | API | ✓ Free | - | fundamentals |\n| 14 | [Barchart](.\u002Fskills\u002Fbarchart\u002F) | Scraper | ✓ Free | - | stocks, futures, fundamentals |\n| 15 | [Nasdaq Data](.\u002Fskills\u002Fnasdaq-data\u002F) | API | ✓ Free | - | stocks, options, fundamentals, etfs |\n| 16 | [CBOE Data](.\u002Fskills\u002Fcboe-data\u002F) | API | ✓ Free | - | stocks, options, commodities, futures |\n| 17 | [Investing.com](.\u002Fskills\u002Finvesting\u002F) | Scraper | ✓ Free | - | stocks, forex, commodities, options, futures, etfs, screener, fundamentals |\n| 18 | [Morningstar](.\u002Fskills\u002Fmorningstar\u002F) | API | ✓ Free | - | screener |\n| 19 | [TradingView](.\u002Fskills\u002Ftradingview\u002F) | API | ✓ Free | - | stocks, etfs, bonds, options, futures, forex, crypto, screener, fundamentals |\n| 20 | [Google Finance](.\u002Fskills\u002Fgoogle-finance\u002F) | API | ✓ Free | - | stocks, etfs, options, fundamentals |\n\n## Data — Regional (Argentina)\n\nSkills specific to the Argentine market: BCRA, BCBA, MAE, CAFCI, etc.\n\n| # | Skill | Type | Cost | API Key | Instruments |\n|---|-------|------|:-----:|:-------:|--------------|\n| 1 | [BCRA Macro](.\u002Fskills\u002Fbcra-macro\u002F) | API | ✓ Free | - | macro-data |\n| 2 | [Data912](.\u002Fskills\u002Fdata912\u002F) | API | ✓ Free | - | stocks, forex, bonds, options, etfs |\n| 3 | [MAE](.\u002Fskills\u002Fmae\u002F) | API | ✓ Free | - | bonds, macro-data, forex |\n| 4 | [BYMA](.\u002Fskills\u002Fbyma\u002F) | API | ✓ Free | - | stocks, bonds, options, etfs |\n| 5 | [CAFCI](.\u002Fskills\u002Fcafci\u002F) | API | ✓ Free | - | etfs |\n| 6 | [INDEC](.\u002Fskills\u002Findec\u002F) | API | ✓ Free | - | macro-data |\n\n\n\n## Brokers\n\nSkills that allow executing real trades (orders, positions, account) on broker accounts.\n\n| # | Skill | Type | Country | Instruments |\n|--:|-------|------|---------|--------------|\n| 1 | [Alpaca Trading](.\u002Fskills\u002Falpaca-trading\u002F) | REST | USA | stocks, options |\n| 2 | [Primary](.\u002Fskills\u002Fprimary\u002F) | REST+WS | Argentina | futures |\n| soon | Tradier | | | |\n| soon | Interactive Brokers | | | |\n| soon | Invertironline | | | |\n| soon | Portfolio Personal | | | |\n\n\n\n## Tools\n\nCalculation and financial support tools (backtesting frameworks, screeners, options and greeks calculation, etc).\n\n| # | Skill | Concepts |\n|---|-------|----------|\n| 1 | [Option pricing](.\u002Fskills\u002Foption-pricing\u002F) | Black-Scholes, Binomial CRR, Trinomial, Monte Carlo (antithetic), Longstaff-Schwartz, Bjerksund-Stensland\u002FBAW (American), Heston (smile), Bates (smile + crashes), greeks (delta\u002Fgamma\u002Fvega\u002Ftheta\u002Frho), implied vol, P(ITM) and P(Profit). 15 CLI modes. Flat Python + numpy, 419k options\u002Fsec (BS) |\n| 2 | [Backtesting](.\u002Fskills\u002Fbacktesting\u002F) | Academic backtesting framework. 30+ risk\u002Fperformance ratios, 10 classes of indicators, event-driven engine with 8 built-in strategies, Markowitz optimization, forward-looking simulation (Johnson SU + t-Copula), walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). Flat Python + numpy, 33 checks validation suite. |\n| 3 | [Portfolio](.\u002Fskills\u002Fportfolio\u002F) | Portfolio construction and optimization: Markowitz (scipy.optimize + Monte Carlo frontier), Black-Litterman (CAPM inverse prior, absolute\u002Frelative views, Idzorek omega, Bayesian posterior), HRP\u002FHERC\u002FNCO (hierarchical clustering, risk parity, nested clustered optimization with constraints). All flat numpy + scipy, no Riskfolio-Lib\u002FPyPortfolioOpt required. 12 CLI modes, verified against real yfinance data matching library outputs exactly.\n\n\u003Cbr>\u003Cbr>\n\n# Installation\n\nInstall selected skills globally:\n\n```bash\nnpx skills add gauss314\u002Fskills -g\n```\n\nInstall all skills globally:\n\n```bash\nnpx skills add gauss314\u002Fskills --all\n```\n\nIndividual skills can also be installed with the commands in the tables below:\n\n## Data — Global\n\n| Skill | Command |\n|-------|---------|\n| FRED Macro | `npx skills add gauss314\u002Fskills --skill fred-macro` |\n| Alpha Vantage | `npx skills add gauss314\u002Fskills --skill alpha-vantage` |\n| Yahoo Finance | `npx skills add gauss314\u002Fskills --skill yahoo-finance` |\n| SEC Data | `npx skills add gauss314\u002Fskills --skill sec-data` |\n| Alpaca Data | `npx skills add gauss314\u002Fskills --skill alpaca-data` |\n| Finnhub | `npx skills add gauss314\u002Fskills --skill finnhub` |\n| Finviz | `npx skills add gauss314\u002Fskills --skill finviz` |\n| Macrotrends | `npx skills add gauss314\u002Fskills --skill macrotrends` |\n| MarketScreener | `npx skills add gauss314\u002Fskills --skill marketscreener` |\n| MarketWatch | `npx skills add gauss314\u002Fskills --skill marketwatch` |\n| CompaniesMarketCap | `npx skills add gauss314\u002Fskills --skill companiesmarketcap` |\n| SimplyWallSt | `npx skills add gauss314\u002Fskills --skill simplywallst` |\n| EarningsWhispers | `npx skills add gauss314\u002Fskills --skill earningswhispers` |\n| Barchart | `npx skills add gauss314\u002Fskills --skill barchart` |\n| Nasdaq Data | `npx skills add gauss314\u002Fskills --skill nasdaq-data` |\n| CBOE Data | `npx skills add gauss314\u002Fskills --skill cboe-data` |\n| Investing.com | `npx skills add gauss314\u002Fskills --skill investing` |\n| Morningstar | `npx skills add gauss314\u002Fskills --skill morningstar` |\n| TradingView | `npx skills add gauss314\u002Fskills --skill tradingview` |\n| Google Finance | `npx skills add gauss314\u002Fskills --skill google-finance` |\n\n## Data — Regional (Argentina)\n\n| Skill | Command |\n|-------|---------|\n| BCRA Macro | `npx skills add gauss314\u002Fskills --skill bcra-macro` |\n| Data912 | `npx skills add gauss314\u002Fskills --skill data912` |\n| MAE | `npx skills add gauss314\u002Fskills --skill mae` |\n| BYMA | `npx skills add gauss314\u002Fskills --skill byma` |\n| CAFCI | `npx skills add gauss314\u002Fskills --skill cafci` |\n| INDEC | `npx skills add gauss314\u002Fskills --skill indec` |\n\n## Brokers\n\n| Skill | Command |\n|-------|---------|\n| Alpaca Trading | `npx skills add gauss314\u002Fskills --skill alpaca-trading` |\n| Primary | `npx skills add gauss314\u002Fskills --skill primary` |\n\n## Tools\n\n| Skill | Command |\n|-------|---------|\n| Option pricing | `npx skills add gauss314\u002Fskills --skill option-pricing` |\n| Backtesting | `npx skills add gauss314\u002Fskills --skill backtesting` |\n| Portfolio | `npx skills add gauss314\u002Fskills --skill portfolio` |\n\n\u003Cbr>\u003Cbr>\n# Structure\n\nEach skill is a directory following the Agent Skills standard structure:\n\n```\n.\n├── skills\u002F\n│   └── \u003Cskill-name>\u002F\n│       ├── SKILL.md           # required: frontmatter + instructions\n│       ├── references\u002F        # optional folder: complementary documentation\n│       ├── scripts\u002F           # optional folder: executable example scripts\n│       └── assets\u002F            # optional folder: templates, configs\n├── README.md\n├── LICENSE                    # MIT\n└── .gitignore\n```\n\n## How it works\n\nThe command `npx skills add gauss314\u002Fskills --skill bcra-macro` installs:\n\n1. **SKILL.md** → loaded into the agent context when you use `\u002Fbcra-macro`\n2. **references\u002F** → complementary documentation (catalogs, references)\n3. **scripts\u002F** → executable scripts (Python, Bash, etc)\n4. **assets\u002F** → templates, configs, auxiliary files\n\nFiles in `references\u002F`, `scripts\u002F` and `assets\u002F` are loaded **only when the skill needs them**, following the **Progressive Disclosure** principle to optimize tokens.\n\n## SKILL.md format\n\n```yaml\n---\nname: skill-name\ndescription: Short description (\u003C100 characters)\nlicense: MIT\n---\n\n# Skill Name\n\nInstructions for the agent and SKILL content...\n```\n\n**Required fields:** `name`, `description`  \n**Optional fields:** `license`, `metadata`, `disable-model-invocation`\n\n## Installation\n\n```bash\n# Install a specific skill in the project\nnpx skills add gauss314\u002Fskills --skill bcra-macro\n\n\n# Install all skills from the repo into the project\nnpx skills add gauss314\u002Fskills --all\n\n\n# Global install (accessible to any of the user's projects)\nnpx skills add gauss314\u002Fskills --skill bcra-macro -g\n```\n\n## Skill Description\n\n#### Data — Global\n\n**FRED Macro:** **840,000+** macroeconomic series from the Federal Reserve (GDP, CPI, rates, employment, M2, VIX, treasuries, mortgages). Historical series since **1996** with search by name\u002Fcategory, tags, releases, and daily\u002Fmonthly\u002Fquarterly\u002Fannual frequencies. Official free API.\n\n**Alpha Vantage:** **20+** global exchanges, **200,000+** tickers (stocks, forex, crypto, commodities). Freemium with **25 calls\u002Fday** free. Covers TIME_SERIES_INTRADAY\u002FDAILY\u002FWEEKLY\u002FMONTHLY, **50+** technical indicators, fundamental overview, FX rates, crypto ratings, commodities (metals, energy, grains).\n\n**Yahoo Finance:** global coverage — stocks, ETFs, crypto, forex, bonds, indices, options, futures, fundamentals and news. Quotes delayed **15min**, daily\u002Fintraday OHLCV, financial statements, options chains, futures on commodities and indices, news, analyst recommendations, insider transactions. Unofficial endpoints via direct HTTP requests (no wrapper).\n\n**SEC Data:** all companies filing with the SEC (10K, 10Q, 8K) — US public companies + internationals using IFRS. Data from the last **5+ years** with quarterly + annual. Concept-level data navigable. Supports US-GAAP and IFRS with automatic concept mapping. Income\u002Fbalance\u002Fcashflow statements in JSON\u002FCSV from XBRL facts.\n\n**Alpaca Data:** **5,000+** US stocks + crypto + options with historical and real-time data. IEX feed. Snapshots, bars (OHLCV), trades, quotes. Multi-asset with symbol normalization. Generous free tier for historical data, real-time with limit.\n\n**Finnhub:** **32** free REST endpoints with US\u002FEU\u002FUK coverage + forex + crypto. Quotes, company profile, financials, earnings calendar, recommendations trends, price targets, insider transactions, company peers, ESG scores, news, economic data, WebSocket. Freemium **60 calls\u002Fmin**.\n\n**Finviz:** **8K+** US stocks (NYSE, NASDAQ, AMEX) + Canada. Fundamental data (P\u002FE, EPS, PEG, margins), technical (RSI, MACD, SMA, ATR), insider trading, institutional ownership, news, online screener with filters (market cap, P\u002FE, sector, performance). Scraper of the Finviz site.\n\n**Macrotrends:** **~6,500** tickers from US markets (NYSE, NASDAQ, AMEX), including international ADRs from **+30 countries**. Financial statements, ratios, employee count with **15+ years** of historical data. Income\u002Fbalance\u002Fcashflow with **5-30 years** of history, profitability ratios, debt, margins, per-share data, segment data.\n\n**MarketScreener:** **20K+** global stocks including ADRs. Quote, profile, financials (income\u002Fbalance\u002Fcashflow), valuation, analyst consensus, news, earnings transcripts list, insider trading, shareholders, corporate governance, earnings calendar, recommendations, ownership structure. Global multi-country coverage.\n\n**MarketWatch:** US stocks and global ADRs. Quotes, financials, SEC filings, analyst estimates, options chain, futures, historical OHLCV. Point-in-time data per ticker, comparable companies panel, screeners by category. Futures data on indices, commodities, rates and currencies.\n\n**CompaniesMarketCap:** global financial rankings (market cap, earnings, revenue, employees, P\u002FE, margins, assets, debt, cash), historical marketcap of stocks and ETF holdings. Global coverage — top companies by any metric, historical capitalization, ETF holdings. Uses native CSV download of the site.\n\n**SimplyWallSt:** **120,000+** global stocks in **106** exchanges. Snowflake scores (1-5 stars: value, income, health, past, future, management), valuation vs sector, dividend history (**19+ years**) and projected, financial health score, insider transactions, price targets, P\u002FE\u002FP\u002FB\u002FROE analysis. Internal REST API of the web frontend.\n\n**EarningsWhispers:** **33,500+** global stocks tracked (US, Europe, Asia, LatAm). COMPLETE earnings transcripts (prepared remarks + Q&A) via public API without auth. No anti-bot, no aggressive rate limiting. Tested on **60+** tickers (AAPL, MSFT, GGAL, SHEL, TM, VALE, etc). Metadata: date, fiscal period, participants.\n\n**Barchart:** **30K+** US stocks and global ADRs, plus futures. Delayed quotes, fundamentals, insider summary, analyst estimates, opinion pages with ticker search. Futures data on indices, commodities, currencies, rates. Scraper of the Barchart site.\n\n**Nasdaq Data:** US stocks (nasdaq + nyse + other US exchanges). Internal REST API of Nasdaq.com with access to quotes, short interest (semi-monthly), financials, **13F** filings (institutional holdings), insider transactions, options chains, dividends, earnings, news, ETFs where the stock is a Top 10 Holding.\n\n**CBOE Data:** CBOE indices (VIX, SPX, DJ, RUT), options, VX futures (VIX futures chain) + bond futures (IBHY, IBIG) and variance (VA), options with greeks, intraday **1-min** bars, market summary per exchange (BZX, BYX, EDGX, EDGA), most-active equities and options, symbol lookup, historical HV\u002FIV.\n\n**Investing.com:** **81K+** equities, **10K+** indices, **2.4K** currencies, **344** commodities, futures on indices\u002Fcommodities\u002Frates, **30K+** ETFs, **4K+** crypto. Global coverage. Quotes, historical OHLCV, fundamentals (income\u002Fbalance\u002Fcashflow\u002Fratios), dividends, earnings, profile. Data delayed **15-20min**. Requires `curl_cffi` for Cloudflare bypass.\n\n**Morningstar:** **53** universes, **102K+** listings, **39** countries. Argentine CEDEARs (XBUE, 469), NYSE (XNYS, 2,343), Nasdaq (XNAS, 3,741), Frankfurt (XFRA, 14K+), Tokyo (XTKS, 3,989), Shanghai (XSHG, 2,365), Shenzhen (XSHE, 2,934), Hong Kong (XHKG, 2,757), India (XBOM, XNSE, 5K+), Korea (XKRX, 2,877), Brazil (BVMF, 2,070), BMV (XMEX, 2,233), London (XLON, 1,333), Paris (XPAR, 728), Zurich (XSWX, 507), Tel Aviv (XTAE, 546), Johannesburg (XJSE, 332), and **30+** more. **33** fields per listing: price, market cap, ratios, returns 1d\u002F1w\u002F1m\u002F3m\u002F6m\u002F12m\u002F36m\u002F60m\u002F120m, debt, dividend yield, sector, industry. Multi-currency, multi-country, multi-language.\n\n**TradingView:** GLOBAL coverage — **100K+** stocks, **50K+** cryptos, indices, forex, bonds. Scanner API with **~300** columns (quote, pre-calculated technical indicators RSI\u002FMACD\u002FEMAs\u002FSMAs\u002Fpivots, aggregated BUY\u002FSELL ratings, valuation, financials, earnings + forecasts, analyst targets, dividends, ownership, short interest, returns). Symbol Search v3 with ISIN\u002FCUSIP\u002FCIK (joinable with SEC EDGAR). News Headlines (**~200** per stock, Dow Jones\u002FReuters\u002FMarketBeat). HTML scraping of **16+** subpages (technicals, financials-income-statement, balance-sheet, cash-flow, options-chain, forecast, ideas). Mass SQL-like screener with filters + sort + pagination. **24** CLI modes with **4** unique HTTP endpoints.\n\n**Google Finance:** Internal RPC API (`batchexecute`) discovered by reverse engineering. **NO API key, NO auth.** **19** CLI modes over **14+** RPC IDs. Quote (US + Argentine BCBA), OHLC intraday **1-min** + **5-min** (free, not available in other providers), OHLC daily last month + 6 months, massive financials (~22 KB income\u002Fbalance\u002Fcashflow multi-period), earnings history, **analyst recommendations with individual detail** (Goldman, etc, with firm + target + date), technical ratings, company description with physical address + employees, peers, news with thumbnails, **global indices in 1 call** (Dow, S&P, NASDAQ, VIX, DAX, FTSE, Nikkei, Hang Seng, IBEX, CAC), sectors heatmap. Unique differentiators: free 1-min OHLC + per-analyst detail + company address. ⚠️ **Unofficial API, requires precautions** — read `references\u002FLIMITATIONS_TROUBLESHOOTING.md`. Exhaustive documentation with 5 references + 3 JSON assets + warnings + plan B with alternative providers.\n\n#### Data — Regional (Argentina)\n\n**BCRA Macro:** **1,220** total series → **638** national series (official catalog v4.0) from the Central Bank. Daily\u002Fperiodic series: exchange rate (official, wholesale, MEP, CCL, blue*), reserves, monetary policy rate, BADLAR, CER, UVA, LELIQ, monetary base, M2, deposits, loans. Data since **1996**.\n\n**Data912:** Argentine market live — local stocks, CEDEARs, bonds, bills, options, MEP, CCL. US live — stocks and volatilities. Refreshes every **20** seconds, rate limit **120 req\u002Fmin**. Historical OHLCV, filter screener, fundamental data of AR companies.\n\n**MAE:** **17** endpoints. Complete wholesale trading: fixed income (LECAPs, BONCAPs, BOPREALes, hard dollar bonds, corporate bonds), repos (CAARS pesos, CAUSD dollars by term), REPO, swaps, FORWORD, wholesale FOREX, deferred dollar (DDF), ARS-MAE index, primary auctions, institutional communications, fund flows for TIR\u002FMD curves.\n\n**BYMA:** **9** endpoints. Complete Argentine stock exchange: leading stock panels, CEDEARs, sovereign bonds + LECAPs\u002FBONCAPs, corporate bonds, repos, options and SENEBI. Historical OHLCV of instruments and indices (MERVAL, BURCAP). Equity (local stocks + CEDEARs), fixed income (sovereign, LECAPs, corporate bonds), derivatives (options). Bond technical sheet with amortization schedule.\n\n**CAFCI:** **1,152** funds and **4,615** classes active as of 2026-06. Categories: Money Market, Fixed Income, Equity, Mixed Income, PyMes, Total Return, Infrastructure, Closed Funds, ASG, RG900. JSON catalog (fees, IDs, metadata), daily XLSX snapshot (VCP, equity, market share, variations), individual markdown sheet (TNA returns per period), portfolio composition (top assets). **4** endpoints + local daily cache.\n\n**INDEC:** Official **Series de Tiempo** API of the Argentine State (`apis.datos.gob.ar\u002Fseries`). **~4,250** series from INDEC + BCRA + Min Economy + Sec Labor + DGEYC. NO API key, NO auth, NO captcha. **The most stable and best-documented API in the repo** — official documentation, GitHub source, no-break ABI policies. Coverage: National IPC (general level, core, regulated, by chapters and regions), EMAE (original + seasonally adjusted + sectoral), IPI Manufacturing, ISAC Construction, EPH (unemployment by region), poverty line, exports, RIPTE wages, SMVM, BCRA exchange rate, BCRA reserves, REM market expectations. **Unique features:** 7 builtin transformations server-side (`percent_change_a_year_ago` = YoY inflation, `percent_change_since_beginning_of_year` = YTD inflation), 6 builtin temporal aggregations (daily→monthly→yearly with avg\u002Fsum\u002Fend_of_period\u002Fmin\u002Fmax), multi-series in 1 request. **19** CLI modes with 9 indicator shortcuts (`ipc`, `emae`, `salarios`, `dolar`, `reservas`, etc). Documentation: 10 references (REFERENCE, ENDPOINTS, PARAMS, REPRESENTATION_MODES, COLLAPSE_AGGREGATIONS, SERIES_CATALOG, RESPONSE_FORMAT, DATA_SOURCES, COOKBOOK with 30+ recipes, LIMITATIONS_TROUBLESHOOTING) + 5 JSON assets with curated catalog of canonical series IDs.\n\n#### Brokers\n\n**Alpaca Trading:** paper trading (free) and live trading of US stocks, crypto and options. REST API over Alpaca Broker. Market data via IEX feed. Market\u002Flimit\u002Fstop\u002Ftrailing-stop orders, short selling, multi-leg options. Positions, account, watchlists, calendar. Official SDK: `alpaca-py`.\n\n**Primary:** Trading API for Matba ROFEX (Argentina's derivatives exchange). Futures (USD, soybean, corn, wheat), options on futures, stocks, bonds, CEDEARs. Token-based auth (24h). REST + WebSocket for real-time market data, order entry\u002Fcancel, and execution reports. Risk API (HTTP Basic Auth) for positions and account reports. No SDK — direct HTTP via `requests`.\n\n#### Tools\n\n**Option pricing:** flat-Python, numpy-vectorized option pricing for backtesting. 9 methods covering vanilla, smile, and tail risk: Black-Scholes (closed-form, european), Binomial CRR (tree, american + european), Trinomial Boyle (tree, american + european), Monte Carlo with antithetic variates (european) + Longstaff-Schwartz (american via simulation), Bjerksund-Stensland 2002 \u002F BAW (closed-form american), Heston 1993 (stochastic vol, smile via Fourier integral), Bates 1996 (Heston + Merton jumps, captures crash risk). Plus analytic greeks (delta\u002Fgamma\u002Fvega\u002Ftheta\u002Frho), implied volatility solver via bisection, and risk-neutral P(ITM) and P(Profit). CLI with 15 modes including `validate` and `bench`. Real benchmarks (Python 3.14 + numpy 2.4.4, same inputs for all methods): BS 2.4 us\u002Fop (419k\u002Fs), BS2 3.6 us\u002Fop (276k\u002Fs), P(ITM) 1.1 us\u002Fop (908k\u002Fs), Heston 398 us\u002Fop (2.5k\u002Fs), Bates 6.2 ms\u002Fop (160\u002Fs), Binomial N=500 5.6 ms\u002Fop (178\u002Fs). Validated against Hull 9th ed (Examples 15.6 and 21.1) and put-call parity (15\u002F15 pass).\n\n**Backtesting:** academic backtesting framework for quantitative research. **30+** risk and performance ratios (flat, numpy-vectorized, no classes), **10** classes of indicators (trend-following, oscillators, contrarians, flow, combined, discrete counts, seasonality, statistical, referential, fundamental). Event-driven **BacktestEngine** with 8 built-in strategies (SMA crossover, RSI mean-reversion, MACD, Bollinger Bands contrarian, ADX trend, momentum, growth+momentum combo). **Markowitz** efficient frontier with random portfolio sampling and Monte Carlo simulation. **Forward-looking** simulation with Johnson SU marginals + t\u002FGaussian copula, drift, and fan-chart projection. **Walk-forward** cross-validation with expanding window and IS\u002FOOS gap. **Stress testing** with parametric scenario shocks. **Fundamental analysis**: Altman Z-Score (bankruptcy prediction), Piotroski F-Score (9-criterion quality), DuPont decomposition (5-factor ROE). **30+** risk\u002Fperformance ratios: Sharpe, Sortino, Calmar, Kelly, MaxDD, Ulcer, Recovery Factor, Rachev A\u002FB\u002FC, Common Sense Ratio, Payoff Ratio, Profit Factor, Win\u002FLoss Ratio, VaR (empirical\u002Fnormal\u002FJohnson SU), cVaR, tracking error, information ratio. **31-check** 4-level validation suite (`py scripts\u002Fvalidate.py`) covering CLI modes, mathematical consistency, edge cases, and regression.\n\n**Portfolio:** portfolio construction and optimization from the course material (MPT, NCO, Black-Litterman). **Markowitz** via scipy.optimize or Monte Carlo simulation with efficient frontier and CML tangent line. **Black-Litterman** full pipeline: market-implied risk aversion (delta), CAPM-inverse prior returns, absolute and relative views with confidence levels, Idzorek omega, Bayesian posterior returns and covariance, Markowitz on BL posterior. **HRP\u002FHERC\u002FNCO** hierarchical methods: correlation-to-distance clustering (single\u002Fcomplete\u002Faverage\u002Fward), recursive bisection risk parity, nested clustered optimization with intra\u002Finter-cluster Markowitz, NCO with per-asset and per-class constraints. **Risk measures**: VaR, CVaR, MAD, MSV, max drawdown, CDaR, diversification ratio, risk contribution. **Covariance estimation**: historical, Ledoit-Wolf (sklearn-compatible), OAS, EWMA. **12 CLI modes** (`markowitz`, `montecarlo`, `frontier`, `bl-prior`, `bl`, `hrp`, `herc`, `nco`, `nco-con`, `clusters`, `risk`, `stats`). All flat numpy + scipy, zero external financial libraries required. **28-test suite** with mathematical consistency checks + real yfinance verification matching PyPortfolioOpt\u002FRiskfolio-Lib outputs exactly.\n\n---\n\n## Compatibility\n\nTested with:\n\n- Claude Code, Antigravity, Cursor, Windsurf, Gemini CLI, Codex, OpenCode, CommandCode CLI, Kimi CLI, Trae\n\n## License\n\n[MIT](.\u002FLICENSE)\n","2026-06-11 04:12:10","CREATED_QUERY"]