Monitor portfolio risk in real-time — check stop-losses, exposure limits, correlation risk, and override conditions. Use this skill in both morning and evening daily runs to ensure the portfolio stays within defined risk parameters. It catches positions that need attention, flags concentration risk, and evaluates whether any mechanical stop-loss overrides are justified. Trigger whenever risk assessment is needed before or after trading decisions.
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Install skill "risk-monitor" with this command: npx skills add bogdanripa/skillsmp-bogdanripa-bogdanripa-risk-monitor
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Monitor BVB company announcements, Romanian financial press, and corporate actions for anything that could move BET-Plus names. Runs on both morning and evening routines. Uses a mix of structured sources (per-symbol BVB announcement pages) and real-time web search for third-party coverage. Trigger whenever the pipeline needs current BVB news, when evaluating a specific stock, or when the user asks what's happening on the Romanian market.
Establish the macro context for today's BVB trading decisions — FX (especially EUR/RON), rates (RO 10Y, CDS), global indices (DAX / Stoxx Banks as the primary transmission), commodities (Brent, TTF), central bank actions (BNR, Fed, ECB), and political/fiscal catalysts. Populates a structured market snapshot that drives the encoded rulebook. First step of every morning routine. Trigger at the start of every morning run, or when the user asks about macro conditions affecting Romanian equities.
Track and manage the trading portfolio — positions, cash, P&L, allocation, and performance metrics. Use this skill in every daily trading run to understand current portfolio state before making decisions. It reads portfolio data via `trade-executor` (BT Trade demo or live, via bt-gateway), calculates performance, checks allocation limits, and determines available capital for new trades. Trigger whenever you need to know the current portfolio state, check if a trade fits within risk limits, or review historical performance.
Weekly pattern-mining pass over the trade journal. Reads the journal via bt-gateway (`store.listJournal()`), clusters closed trades by trade_type, sector, exit_reason, and thesis_verdict, identifies patterns that repeat (both successes and failures), and appends distilled observations to `LESSONS.md`. Run this skill once a week, typically Friday evening after the post-close run, or on-demand when the user asks for a performance review, a post-mortem on a losing streak, or wants to revisit what the strategy has learned. Also trigger before making larger-than-usual strategy changes — the lessons are the empirical grounding for any rule adjustments.