claude

fin-core

US/global quant stack: backtesting engines, broker APIs, signals, factors, portfolio construction, risk analytics, backtest validation, derivatives pricing — plus the research-integrity guards that keep a backtest honest. Data sourcing, vendor licensing and point-in-time joins moved to fin-market-data; install it alongside for anything that touches data.

1 on GitHubv0.1.0MITupdated 1 month ago
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Plugin fin-core from marketplace fin-skills in howard-lynn-ye/fin-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (18)

  • backtest-overfitting

    Decide whether an edge that passed every mechanical check is still just the best of N tries. TRIGGER - PBO, probability of backtest overfitting, CSCV, combinatorially symmetric cross validation, logit of the out-of-sample rank; minimum backtest length, MinBTL, "how much history do I need", "how many

  • backtest-validation

    Decide whether a result survives the number of things you tried. TRIGGER - "I tried N strategies or parameters and the best one..."; overfitting, p-hacking, data snooping, "is this result real", "is this statistically significant"; deflated Sharpe, DSR, PSR, the trial ledger; White's Reality Check,

  • backtesting-engines

    Choose a backtesting engine and know what it silently models wrong. TRIGGER - "backtest this", backtest a crossover or a moving-average strategy, simulate a strategy, walk-forward, parameter sweep, "test this trading idea"; comparing or choosing backtest frameworks; vectorbt, backtesting.py, backtra

  • broker-execution-apis

    Connect to a broker and place orders without accidentally trading live money. TRIGGER - connect to Interactive Brokers, TWS, IB Gateway, ib_async, ib_insync, ibapi, Alpaca, Schwab, schwab-py, Tastytrade, Tradier or Robinhood; place, modify or cancel an order; read positions or balances; set up paper

  • combining-data-sources

    Combine information of DIFFERENT kinds into one research view whose every number can be traced back to what was knowable when. TRIGGER - joining prices to fundamentals, earnings or a macro series; building a signal from a filing plus a price; merging two vendors into one series; "which vendor do I t

  • derivatives-pricing

    Choose a derivatives pricing library and get its Greek units and conventions right. TRIGGER - option pricing, implied volatility, IV, Greeks, delta, gamma, vega, theta, rho; which pricing library, exotics coverage; QuantLib, vollib, py_vollib, financepy, rateslib, optionlab; option chains. Greek sca

  • etf-mechanics

    Why an ETF's price series does not behave like the index it tracks - daily-reset leverage, NAV vs price, distributions, holdings files and fees. TRIGGER - "why is my 3x ETF down when the index is flat", TQQQ decay, SQQQ, leveraged ETF long term, inverse ETF, volatility drag, daily reset; premium to

  • execution-cost-analysis

    Measure what your execution actually cost instead of assuming a number - implementation shortfall, benchmark choice, impact models, and the gap between the cost you assumed and the cost you paid. TRIGGER - transaction cost analysis, TCA, implementation shortfall, arrival price, decision price, slipp

  • external-skill-index

    A verified index of every public finance Agent Skill repository — 139 repos, 4,851 SKILL.md files — so you can find what already exists instead of rebuilding it, and avoid the third that is legally unusable. TRIGGER - looking for an existing skill, plugin or marketplace for anything financial; "is t

  • multiple-testing-ledger

    Apply family-wise error and false-discovery control to a whole research programme, using the trial ledger's own registered count as m. TRIGGER - Bonferroni, Holm, Benjamini-Hochberg, Benjamini-Yekutieli, BHY, FDR, FWER, "adjust my p-values", statsmodels multipletests, "which of my factors survive th

  • options-backtesting

    Options positions end in ways you do not control - live or in a backtest: assignment, expiry settlement, pin risk, multi-leg lifecycle, historical chain assembly, and the margin that decides whether the position fits. TRIGGER - backtest a covered call, cash-secured put, wheel, credit spread, iron co

  • portfolio-and-risk

    Turn signals into weights, and compute performance metrics that are actually correct. TRIGGER - portfolio weights, allocation, rebalancing, mean-variance, Black-Litterman, risk parity, HRP, HERC, NCO, efficient frontier, covariance shrinkage or denoising, PyPortfolioOpt, riskfolio, skfolio, cvxportf

  • pre-trade-checks

    Check a proposed order before a human sends it - this skill checks orders and never sends one. Fat finger, participation, session and auction windows, duplicate and replay, exposure limits, and a kill switch that fails everything closed. TRIGGER - pre-trade risk checks, fat finger, sanity-check an o

  • quant-stack-router

    Entry router for Python quantitative finance: names the right library and flags where the model's training prior is stale. TRIGGER - read this FIRST when a quant task names no specific sub-domain, when asked "which library should I use" for anything financial, or when a plan spans several of data, b

  • regime-detection

    Detect and label market regimes without letting the labels see the future, and state regime coverage in the form the result gate demands. TRIGGER - detect market regimes, regime detection, bull bear regime labels, volatility regime, high-vol low-vol state, risk-on risk-off; hidden markov model on re

  • research-integrity-guards

    Second-pass audit that decides whether a finance result is real, applied after the work exists. TRIGGER - about to REPORT, publish or act on a backtest, factor test or model score; a result that looks good ("Sharpe 3.5", "beats SPY", "85% accuracy") and needs challenging; asked to validate, verify,

  • signal-construction

    Compute technical indicators and engineered features without leaking the future. TRIGGER - RSI, MACD, moving average, Bollinger, ATR, ADX, Ichimoku, PSAR, stochastic or any named technical indicator; TA-Lib, pandas-ta, pandas-ta-classic, ta, talipp, finta; choosing an indicator library or reconcilin

  • us-market-rules

    US trading rules that decide whether a strategy is executable at all - short-sale restrictions, margin, settlement, day-trading limits, and what a data licence lets you keep. TRIGGER - can I short this, locate, hard to borrow, borrow fee, short interest, Reg SHO, uptick rule, SSR, short sale restric

View source on GitHub

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FEDERATED - the claims inside are not verified by this repo. 501 engineering-grade trading skills - point-in-time backtest schemas, universe look-ahead, alt-data availability lag, ML against transaction costs, adjusted-vs-unadjusted prices, backtest determinism and audit trails, broker idempotency and failover, exchange FIX specs (ASX, B3, Bursa, BIST, Cboe), regulatory gates and a key-scope audit skill. Its README claims 458 of 501 cite a primary source; it is clearly LLM-generated at scale and the depth is unverified. Upstream splits these into per-domain plugins, but its root manifest exposes all 501 at once - roughly 25x the discovery budget, which is yours to spend since it installs disabled. No credentials in the skills; nothing executes. Installs disabled.

200 skills

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FEDERATED - the claims inside are not verified by this repo. FTShare's official one-endpoint-per-skill data catalogue for the Chinese market: A/HK/US quotes and K-lines, 可转债 including SZSE declaration snapshots, ETF PCF and IOPV, 龙虎榜, block trades, margin balances, executive holdings, the ChinaBond yield curve, the CPI/PPI/PMI/LPR/M2/credit macro series and news-sentiment factors. FTSHARE_API_KEY in the environment (a free tier exists per the launch article); read-only. Be deliberate: 215 sub-skills is roughly 10x the ~20-skill discovery budget, so treat it as a catalogue to enable for a session, not a standing install - it arrives disabled and the budget is yours to spend. Installs disabled.

200 skills

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FEDERATED - the claims inside are not verified by this repo. The deepest IFRS/GAAP pack in this sweep that also validates cleanly: IFRS 9 expected credit loss, IFRS 16 leases, IAS 12 deferred tax, revenue recognition, consolidation, SOX, forensic accounting, insurance reserving, WACC, LBO, treasury and Basel banking compliance, with an eval harness in the repo. Outside this library's quant core and overlapping the banking-regulatory entry on Basel and IFRS 9. Optional Stripe/Plaid connectors; nothing executes. Installs disabled.

48 skills · 52 commands

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FEDERATED - the claims inside are not verified by this repo. HKUDS' 33k-star trading agent, taken for its skill tree alone - the richest algorithm content this sweep found: the Kakushadze 101, GTJA 191 and Qlib 158 alpha zoos, factor IC/IR research, execution models (square-root impact, VWAP/TWAP), microstructure (VPIN, Kyle's lambda, Amihud), SABR and local-vol options, convertible bonds, credit, Brinson attribution, GARCH/ADF and a Pine/vnpy exporter. The skills are coupled to the app's data router and Python toolkit, so test them standalone before trusting them; data keys go in a .env, and live orders are reachable only through a separate gated connector with a kill switch, not from these skills. 90 skills is about 4.5x the discovery budget. Installs disabled.

91 skills

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FEDERATED - the claims inside are not verified by this repo. The closest structural peer to fin-libraries found in the wild - 82 one-library skills in Chinese - and the only pack anywhere in this sweep with actuarial and structured-credit content: MlFinLab information bars and fractional differencing, arch/GARCH, alphalens, bt/backtrader/nautilus/qlib/LEAN, QuantLib and FinancePy day counts and schedules, XVA (CVA/DVA/FVA, SIMM), chainladder loss reserving, IFRS 9 ECL, credit scorecards and transition matrices, ABS waterfalls, Smith-Wilson EIOPA curves. Depth is unverified and the author has one star; the easytrader and nautilus skills document live-broker paths but nothing executes by default. 82 skills is roughly 4x the discovery budget. Installs disabled.

82 skills

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FEDERATED - the claims inside are not verified by this repo. The maintained superset of geeksfino-finskills, 107 skills across China, Hong Kong and US directories: A+H premium, block deals, 龙虎榜, pledge risk, goodwill, 解禁 unlocks, margin risk, factor crowding, event studies, valuation regimes, and HK southbound, currency and liquidity monitors. Free data sources; nothing executes. Two caveats - it has been idle since February 2026, and 107 skills is roughly 5x the discovery budget, which is yours to spend since it installs disabled. Installs disabled.

79 skills

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