Results for “trading-strategy”

Runs a nightly automated retrospective on autonomous trading strategy performance, computing win rates, fee drag, holding period buckets, direction bias, and producing data-driven improvement suggestions.

Analyze S&P 500 market breadth charts and CSV data to assess market health, identify trading signals, and generate positioning recommendations for different trader types.

Detect when backtest iteration has stalled and generate structurally different strategy pivot proposals to break out of local optima.

Use when user asks about writing trading strategies, backtesting, deploying Freqtrade bots, quantitative trading, or strategy optimization. Trigger words: 'write strategy', 'create strategy', 'backtest', 'deploy Freqtrade', 'deploy bot', 'quantitative', 'hyperopt', '写策略', '创建策略', '回测', '部署', '量化', '策略优化'. This skill provides: (1) create_strategy quick generator with 17 indicators, (2) AiCoin Python SDK (aicoin_data.py) for integrating real market data into custom strategies, (3) deploy/backtest/hyperopt tools. ALWAYS actively use AiCoin data (funding rate, L/S ratio, whale orders, etc.) in strategies when the user's API key supports it. For prices/charts use aicoin-market. For trading use aicoin-trading. For Hyperliquid use aicoin-hyperliquid.

Converts abstract edge concepts into concrete strategy draft variants with configurable risk profiles and optional exportable ticket YAMLs for downstream validation.

Designs and backtests systematic trading strategies using technical indicators, fundamental analysis, and statistical models, with clear entry/exit rules, risk controls, and documentation.

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

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

Collects market data from Yahoo Finance and Exa, calculates technical indicators, scans watchlists, and generates market analysis reports to identify trading opportunities.

Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets, with ranked hypothesis cards, experiment designs, kill criteria, and optional strategy.yaml export.

Evaluates pricing, packaging, plan structure, and monetization tradeoffs against positioning, conversion, and margin.

Design NFT strategies with creation and marketplace. TRIGGERS - Use when user needs help with nft-strategy related tasks.

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.

Build sales playbooks, define pipeline stages, and optimize conversion rates with structured processes and lead scoring.

When the user wants help with pricing decisions, packaging, or monetization strategy. Use when the user mentions 'pricing,' 'pricing model,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'pricing strategy,' 'pricing experiments,' 'price anchoring,' 'enterprise pricing,' 'GTM pricing,' 'price setting,' 'value-based pricing,' 'revenue optimization,' or 'pricing psychology.' This skill covers pricing research, tier structure, packaging strategy, discount frameworks, upsell mechanics, and pricing experiments.

Design ICO strategies. TRIGGERS - Use when user needs help with ico-strategy related tasks.

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.

Pricing strategy for Nick's products. Use when deciding subscription tiers, freemium vs trial, packaging by value, transactional pricing, or preventing underpricing on products with real ROI.

Design NFT strategies with creation and marketplace. TRIGGERS - Use when user needs help with nft-strategy related tasks.

Design ICO strategies. TRIGGERS - Use when user needs help with ico-strategy related tasks.

Design account-based marketing strategies with targeting. TRIGGERS - Use when user needs help with abm-strategy related tasks.

TIGER v2 — Multi-scanner trading system for Hyperliquid perps via Senpi MCP. 5 signal patterns (BB compression breakout, BTC correlation lag, momentum breakout, mean reversion, funding rate arb), DSL v4 trailing stops, goal-based aggression engine, and risk guardrails. Configurable profit target over deadline. 12-cron architecture (10 TIGER + prescreener + ROAR meta-optimizer). Pure Python analysis. Requires Senpi MCP, python3, mcporter CLI, and OpenClaw cron system.

WOLF v6.3 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 5+N cron architecture: 5 shared wolf crons (Emerging Movers 3min, SM Flip 5min, Watchdog 5min, Risk Guardian 5min, Health Check 10min) plus one DSL v5.2 cron per strategy (native Hyperliquid SL sync via dsl-dynamic-stop-loss skill v5.3.1). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Dynamic risk-based leverage per strategy. Requires Senpi MCP connection, python3, mcporter CLI, OpenClaw cron system, and dsl-dynamic-stop-loss skill (provides dsl-cli.py + dsl-v5.py).

Pricing model design, competitive positioning, value metric selection, price testing, and pricing page optimization. Use when the user asks about pricing strategy, pricing models, price testing, value-based pricing, or competitive pricing analysis.

Design account-based marketing strategies with targeting. TRIGGERS - Use when user needs help with abm-strategy related tasks.

Create strategies for shoppable posts and social commerce conversion optimization. Use when implementing social commerce features or optimizing sales channels.

Monitor crypto markets, set alerts, track portfolio, DCA automation.

Routes trading and investing goals to the right workflow, skillset, API profile, and setup path without executing trades.

Expert product strategy advisor for Senior PMs. Use this skill — proactively and without waiting to be asked — whenever defining a product vision, setting quarterly OKRs, building a roadmap, choosing between competing bets, entering a new product area, or when stakeholders disagree on direction. Also triggers for: "what should we prioritize", "we need a north star", "how do we choose between X and Y", "roadmap conflict", "what are our bets this quarter", "strategy alignment", "choosing what NOT to build", "three bets with trade-offs", "stakeholder misalignment on direction", "product direction for next quarter", "OKR planning". Produces a decision-focused strategy doc: North Star metric, Opportunity Tree, three bets with explicit trade-offs (including do nothing), and a recommended bet with its key assumption.

Design pricing strategies grounded in value delivery, competitive positioning, and willingness to pay. Recommends pricing models, tiers, and experiments.