{"product_id":"ai-powered-first-board-overnight-strategy-skill","title":"AI-Powered First Board Overnight Strategy Skill","description":"\u003ch3\u003eAI-Powered First Board Overnight Strategy Skill\u003c\/h3\u003e\n\n\u003cp\u003eThis skill facilitates the execution of a first board overnight simulation strategy based on audit-friendly A-share market data. It is designed to evaluate the profitability effect of the first board, select candidates for first-board trading, and generate evidence-backed decisions categorized as BUY, WATCH, or NO_TRADE, alongside formulating a T+1 exit plan.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eClearly distinguishes task phases: candidate review, entry decision, exit plan, and trade review.\u003c\/li\u003e\n  \u003cli\u003eAccesses documented strategies and market environment barriers to verify strategy boundaries and goals.\u003c\/li\u003e\n  \u003cli\u003eReviews existing market evidence and seeks additional recoverable data using caching to support decision-making.\u003c\/li\u003e\n  \u003cli\u003eClassifies evidence as directly supportive, reconstructible, or non-reconstructible, determining if it's ready to support a decision.\u003c\/li\u003e\n  \u003cli\u003eApplies entry and exit policies to inform entry timing and T+1 exit strategies.\u003c\/li\u003e\n  \u003cli\u003eUtilizes risk management protocols when handling positions or orders, enabling simulated trading based on specific status and decision criteria.\u003c\/li\u003e\n  \u003cli\u003eConducts decision review without altering original decision rationale post-trade execution.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill is aimed at developers and teams using AI coding agents such as Claude Code, Cursor, and Codex. It is especially beneficial to those involved in strategy development, quantitative analysis, and algorithmic trading.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eEvaluating the profitability potential of first-board stocks for short-term trading strategies.\u003c\/li\u003e\n  \u003cli\u003eMaking informed overnight retention or disposal decisions in a dynamic trading environment.\u003c\/li\u003e\n  \u003cli\u003eConducting regular reviews of trading decisions to refine strategy effectiveness and operational transparency.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eIntegrates with AI capabilities available in Claude Code, Cursor, and Codex environments.\u003c\/li\u003e\n  \u003cli\u003eRelies on vetted data acquisition methods and follows strict evidence-based decision protocols.\u003c\/li\u003e\n  \u003cli\u003eEmploys simulation tools for market trade execution and management tasks via AI-driven workflows.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThis skill strictly adheres to procedural guidelines and ensures all data is verified with official sources. Any use related to finance provides general workflow assistance only and does not substitute for financial advice.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eFize\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/Fize\/mmtickerlab\" rel=\"nofollow noopener\" target=\"_blank\"\u003eFize\/mmtickerlab\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53000720318775,"sku":"MCP-FIZE-MMTICKERLAB-FIRST-BOARD-OVERNIGHT","price":53.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/Jguo6Ug24HZ8fADpLkBqZ_cb29af21bed04cebb24a078cd5f5f350.jpg?v=1789646566","url":"https:\/\/mcpcart.com\/products\/ai-powered-first-board-overnight-strategy-skill","provider":"SPF PRO","version":"1.0","type":"link"}