Results for “quantitative-trading”

量化交易核心skill套件 — 因子挖掘、Alpha衰减监控、多市场套利、订单路由、压力测试、归因分析、仓位管理、样本外验证、A股T0、加密资金费率套利、Polymarket机器人。对标国际顶级量化基金（Renaissance/Two Sigma/Citadel/DE Shaw）的工程与策略水平。

Develops and backtests quantitative trading strategies for the Chinese securities market using the QMT terminal's built-in Python framework, covering data retrieval, order placement, and position management.

Constant-product AMM bonding curve math for Pump token pricing — buy/sell quoting, fee-aware calculations, market cap computation, tiered fees, ceiling division, virtual vs real reserves, and edge-case handling.

Inverse ETF Proxy for Crypto Shorts

Understand and trade futures contracts on commodities, indices, crypto, and event outcomes. Covers contract mechanics, margin, settlement, spreads, and risk. Use when analyzing futures markets, understanding contract specs, evaluating margin requirements, or building futures strategies. Also trigger for 'futures contract', 'commodities trading', 'futures margin', 'contract specs', 'futures spread', 'oil futures', 'crypto futures', or 'index futures'.

Buy and sell tokens on Pump.fun bonding curves and AMM pools

Optimizes Qdrant query performance for large limits across multiple shards by using Poisson-distributed subsampling to reduce inter-shard data transfer.

Volume-based PUMP token reward system with day-indexed epochs, pro-rata distribution, accumulator tracking, and cross-program claiming on Solana.

Assesses organizational readiness for post-quantum cryptography migration per NIST FIPS 203/204/205 standards, performs cryptographic inventory scanning, evaluates hybrid TLS configurations, and validates CRYSTALS-Kyber and CRYSTALS-Dilithium readiness.

Reviews closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns.

下单交易工具。严格规则：(1) 所有订单必须通过 node scripts/exchange.mjs create_order 执行，禁止写自定义代码下单 (2) create_order 分两步：第一次返回预览，展示给用户等确认，用户说确认后第二次加 confirmed=true 执行 (3) 禁止自动确认，禁止跳过预览 (4) 平仓必须用 close_position，禁止用 create_order 构建平仓单。Trigger: 'buy', 'sell', 'order', 'long', 'short', 'leverage', 'close position', '买', '卖', '下单', '做多', '做空', '杠杆', '开仓', '平仓', '平掉', '关仓'.

Identifies and analyzes statistical arbitrage opportunities through pair trading, using correlation analysis, cointegration testing, and z-score calculations to generate entry/exit signals for market-neutral strategies.

多平台电商运营核心skill — 淘宝/天猫/拼多多/抖音小店/京东/Shopify/亚马逊/TikTok Shop全平台运营策略与数据监控。对标阿里运营专家、抖音DP操盘手、亚马逊大卖的水平。

当需要在众多机会中筛选出投入产出比最高的选项，以最小化风险并最大化潜在回报时

Track stocks, ETFs, indices, crypto (where available), and FX pairs with caching + provider fallbacks.

BALD EAGLE v3.0 — XYZ Alpha Hunter (Hardened). Focused on 6 high-liquidity XYZ assets: CL, BRENTOIL, GOLD, SILVER, SP500, XYZ100. Conviction-scaled leverage (5-10x based on score). Wider DSL for macro assets. Maker-only execution. Scanner calls create_position internally. v3.0: focused assets, conviction-scaled leverage, XYZ-tuned DSL, no thesis exit.

Calculate risk-based position sizes for long stock trades using fixed fractional, ATR-based, or Kelly Criterion methods with portfolio constraints.

Populate symbol database with crypto symbols before training. Trigger when: (1) live trader fails with 'CRYPTO VIOLATION', (2) no crypto models in models/rl_symbols/, (3) db.get_candidates(asset_types=['crypto']) returns 0, (4) starting fresh training without crypto.

Derive selection thresholds from market data instead of hardcoding. Trigger when: (1) reviewing hardcoded parameters, (2) volume/price thresholds seem arbitrary, (3) selection returns too many/few candidates.

This skill should be used when building trading bots, implementing swap functionality, or adding cross-chain bridge support. Covers same-chain swaps, cross-chain bridges, ETH/WETH conversions, and amount formats.

Provides expert guidance for systematic backtesting of trading strategies, covering methodology, stress testing, bias prevention, and result interpretation.