Results for “momentum-trading”

Screens recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position) and assigns A/B/C/D grades to identify momentum trade candidates.

KOMODO v1.0 — Momentum Event Consensus. Uses leaderboard_get_momentum_events (real-time threshold crossings) to detect when 2+ quality SM traders cross momentum thresholds on the same asset/direction within 60 minutes. Confirmed by market concentration + volume. Enters with the momentum. Replaces MANTIS v1.0 and SCORPION v1.1 (both used stale position data).

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

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'.

v4.1.0 reward function redesign to fix overtrading and DSR dominance

RAPTOR v2.0 — Hot Streak Follower. Follows quality traders on $5.5M+ momentum streaks into their strongest position. SM confirmed.

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

Orchestrate multi-bot trading swarms on Pump.fun with persona-driven agents

RHINO — Momentum pyramider. Top 10 assets by OI + volume. Enters small (30% of max) on high-conviction convergence, then adds to winners at +10% ROE (40% more) and +20% ROE (final 30%). Thesis re-validated before every add — 4h trend intact, SM aligned, volume present. DSL High Water Mode trails the full position. The only skill in the zoo that builds into winners instead of entering full size and hoping.

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。

MAMBA v2.0 — Range-bound high water + regime protection. A trading strategy config override based on the VIPER skill with three protective gates: BTC regime filter, per-asset cooldown after losses, and hard leverage cap at 10x.

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'.

Use when tuning predator-prey dynamics, regime detection coefficients, or cooldown mechanisms

Analyzes earnings-season implied volatility: historical IV crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade.

Recommends optimal multi-leg option strategies based on market view, with 15+ templates and full P&L profiles.

ORCA v2.0 — Gen-2 Striker with momentum event quality confirmation. FIRST_JUMP detection enhanced with Tier 2 momentum events and TCS trader quality tags. Stalker permanently removed. DSL exit managed by plugin runtime via runtime.yaml.

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

Matryoshka Representation Learning

Run a co-sell with a partner on a named account and actually close together, not just trade a lead. It maps the account across both companies, sets who owns what so nothing falls between you, builds the joint value story neither of you tells alone, and plans the path to close so the partner is a force in the deal, not a spectator. Built for B2B partnerships and sales teams, customizable to your CRM and your co-sell motion. Trigger on "run a co-sell", "co-sell on this account", "map the account with our partner", "who owns what in this joint deal", "joint value story", or any partner co-sell request on a named account.

Use when tuning RL reward function weights, fixing reward hacking, or addressing P&L gradient issues

Draft an anonymous one-page teaser for a sell-side M&A process — enough to spark buyer interest without revealing the target's identity before an NDA is signed.

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.

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.

Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring.