claude

trading-skills

FEDERATED - the claims inside are not verified by this repo. agiprolabs' 68 skills: Solana execution (RPC, Jito bundles, pump.fun), DeFi analytics (DefiLlama, DexScreener, Birdeye), MEV, wallet profiling, prediction markets, and tax lots (cost basis, wash-sale detection, harvesting). About 3x the default listing budget, and ~20 skills overlap fin-core topics - its vectorbt skill does not mention the same-bar-fill default that lib-vectorbt leads with. Installs disabled; enable after reading its README.

1 on GitHubby AGIProv1.0.0MITupdated 1 month agofederated
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Plugin trading-skills from marketplace fin-skills in howard-lynn-ye/fin-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (68)

  • backtrader

    Event-driven backtesting with bar-by-bar execution, complex order types, multiple analyzers, and custom indicators

  • birdeye-api

    Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity

  • coingecko-api

    Broad crypto market data from CoinGecko covering 13,000+ tokens. Global market stats, historical price data going back years, exchange volumes, trending tokens, and category filters. Best for macro analysis and long-term historical data. - httpx - pandas - numpy - api - market-data - crypto - histor

  • cointegration-analysis

    Cointegration testing for pairs trading using Engle-Granger, Johansen, and rolling stability analysis

  • copy-trading

    Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading

  • correlation-analysis

    Cross-asset correlation analysis including rolling correlation, hierarchical clustering, tail dependence, and regime-dependent correlation

  • cost-basis-engine

    Multi-method cost basis computation including specific identification, FIFO, LIFO, HIFO, and proportional average cost with partial sell handling

  • crypto-tax-export

    Export trade history and tax calculations in formats compatible with Koinly, CoinTracker, CoinLedger, TokenTax, and IRS Form 8949

  • custom-indicators

    Crypto-native indicators including NVT ratio, exchange flow, funding rate signals, holder momentum, and smart money flow

  • defillama-api

    Free DeFi analytics across all chains — TVL, token prices, DEX volumes, fees/revenue, stablecoins, and bridges

  • dex-execution

    Solana DEX swap execution via Jupiter aggregator including quoting, transaction building, signing, and confirmation

  • dex-pool-analysis

    AMM pool mechanics comparison across Raydium, Orca, and Meteora including fee structures, pool types, creation patterns, and volume efficiency

  • dexscreener-api

    Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles

  • exit-strategies

    Systematic exit rules, stop-loss methods, take-profit strategies, and trailing stop implementations for crypto trading

  • feature-engineering

    Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features

  • fixed-income

    [STUB] Bond pricing, yield curves, duration and convexity analysis, and DeFi lending rate modeling

  • helius-api

    Enhanced Solana RPC with DAS API, parsed transactions, webhooks, and priority fee estimation via Helius

  • impermanent-loss

    Impermanent loss calculation, modeling, and breakeven analysis for AMM liquidity provision across pool types

  • jito-bundles

    Jito bundle submission for MEV protection on Solana — bundle building, tip strategies, block engine endpoints, and landing rate optimization

  • kalshi-api

    Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.

  • kalshi-crypto-index-markets

    Kalshi daily and hourly range markets on crypto prices (BTC, ETH) and equity indices (S&P 500, Nasdaq-100) — bracket structure, Gaussian P(YES) modeling on price/vol, close-offset decision timing, longshot-sell edge with honest evidence bounds

  • kalshi-weather-markets

    Daily temperature high/low bracket and threshold contracts on Kalshi — contract structure, forecast→P(YES) map, settlement rules, cross-venue divergences, and weather-specific pitfalls

  • kelly-criterion

    Kelly criterion optimal sizing with fractional variants, edge estimation, and practical application for crypto trading

  • liquidity-analysis

    DEX liquidity depth assessment, slippage estimation, and pool composition analysis for Solana tokens

  • lp-math

    AMM liquidity provision mathematics including constant-product, concentrated liquidity, price impact, and LP share calculations

  • market-microstructure-traditional

    Traditional market microstructure concepts applied to crypto — order book dynamics, market making theory, price formation models, execution quality measurement, and CEX vs DEX structural differences

  • market-microstructure

    DEX orderflow analysis, trade classification, buyer/seller pressure, and microstructure signals for Solana tokens

  • mean-reversion

    Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling

  • mev-analysis

    MEV exposure assessment, sandwich attack detection, and protection strategies for Solana DEX trading

  • ohlcv-processing

    Market data preparation including OHLCV resampling, gap handling, anomaly detection, normalization, and multi-source merging

  • options-pricing

    [STUB] Options pricing models including Black-Scholes, binomial trees, Monte Carlo, implied volatility surfaces, and Greeks for crypto options

  • pandas-ta

    Technical analysis with 130+ indicators using pandas-ta for crypto market data

  • polymarket-api

    Polymarket exchange mechanics — on-chain Polygon CTF, Gamma/CLOB/Data APIs, EIP-712 auth, identifier model, WebSocket, settlement, and geo/KYC constraint

  • portfolio-analytics

    Portfolio-level performance measurement including return metrics, risk metrics, risk-adjusted ratios, rolling analysis, and HTML reports

  • position-sizing

    Trade sizing methods including fixed fractional, volatility-adjusted, Kelly criterion, and liquidity-constrained sizing

  • prediction-market-live-ops

    Use when building, backtesting, operating, or scaling automated trading on prediction markets (Kalshi or similar) — evidence-gated methodology, live-execution safety rails, and falsification protocols distilled from a real live-money campaign

  • prediction-market-strategy

    Venue- and market-type-agnostic strategy, sizing, and backtesting layer for binary prediction markets (Kalshi, Polymarket, ForecastEx). Covers the durable edge thesis, fee-aware selection, fractional-Kelly sizing, and leak-free validation methodology.

  • pumpfun-mechanics

    PumpFun bonding curve math, graduation mechanics, instruction parsing, and PumpSwap migration

  • raptor-dex

    Self-hosted Solana DEX aggregator by SolanaTracker — multi-hop routing across 25+ DEXes, WebSocket streaming, Yellowstone Jet TPU submission, no rate limits

  • regime-detection

    Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading

  • regulatory-reporting

    [STUB] Regulatory report generation including IRS Form 8949, Schedule D, FinCEN FBAR, and state-specific crypto reporting requirements

  • risk-management

    Portfolio-level risk controls, drawdown management, exposure limits, and circuit breakers for crypto trading

  • rl-execution

    Reinforcement learning for trade execution optimization including order splitting, adaptive timing, and impact minimization

  • sentiment-analysis

    Market sentiment extraction from social media, news, and on-chain data including mention velocity, fear and greed indices, and influencer tracking

  • shredstream

    Pre-execution Solana transaction streaming via Jito ShredStream, Shyft RabbitStream, and Triton Deshred

  • signal-classification

    ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization

  • slippage-modeling

    Execution cost estimation, slippage curve modeling, and optimal trade sizing based on AMM liquidity depth

  • solana-rpc

    Direct Solana blockchain interaction via JSON-RPC — account lookups, token balances, transaction submission, and program queries

  • solana-tx-building

    Solana transaction construction including instruction building, account resolution, compute budget, priority fees, and versioned transactions

  • solanatracker-api

    Solana token data, PnL, risk scores, 1-second OHLCV, wallet analytics, and self-hosted swap execution via Raptor

  • strategy-framework

    Standardized template for defining trading strategies with entry rules, exit rules, position sizing, risk parameters, and performance criteria

  • sybil-detection

    Coordinated wallet cluster detection, wash trading identification, and fake activity analysis for Solana tokens

  • ta-lib

    C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib

  • tax-liability-tracking

    Real-time tax liability analysis for active crypto traders with proportional cost basis, gain classification, and tax-aware trading signals

  • tax-loss-harvesting

    Tax-loss harvesting opportunity identification, scoring, and planning with wash sale compliance and annual carryforward tracking

  • token-economics

    Token supply dynamics, vesting analysis, inflation modeling, and valuation frameworks for crypto tokens

  • token-holder-analysis

    Token holder distribution, concentration metrics, insider detection, and supply analysis for Solana tokens

  • trade-accounting

    Double-entry bookkeeping for trading operations with ledger management, P&L statements, balance sheets, and cash flow reporting

  • trade-journal

    Structured trade logging, performance review, behavioral pattern detection, and strategy attribution for systematic improvement

  • trading-visualization

    Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions

  • vectorbt

    High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics

  • volatility-modeling

    Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones

  • walk-forward-validation

    Walk-forward validation framework for trading strategies and ML models with time-series-aware splits, overfit detection, and regime-aware validation

  • wallet-profiling

    Behavioral classification, performance analysis, and trading style detection for Solana wallets

  • wash-sale-detection

    Wash sale detection under 2025 US crypto rules with 61-day window monitoring, disallowed loss tracking, and safe re-entry countdown

  • whale-tracking

    Large wallet monitoring, accumulation and distribution detection, and smart money signal generation for Solana tokens

  • yellowstone-grpc

    Real-time Solana transaction and account streaming via Yellowstone gRPC (Geyser plugin)

  • yield-analysis

    DeFi yield evaluation including fee APR, real vs nominal yield, net APY after costs, and yield sustainability analysis

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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