Portfolio Tracker
I tuoi investimenti, sorvegliati in automatico, con report a cadenza regolare.
Aiuta l'IA a sorvegliare i tuoi investimenti in automatico — registra nel tempo partecipazioni e modifiche alla watchlist, scrive report di ricerca periodici con scenari rialzisti e ribassisti e ti avvisa quando le tue soglie vengono superate. Per chi investe a lungo termine e vuole analisi senza il rumore del day trading.
Installala in 3 passaggi
Nessuna registrazione. Nessuno strumento da riga di comando. Scegli la tua AI, copia una riga e incollala.
Preferisci fare da te? Acquista la skill ($4.99), scarica lo ZIP dalla conferma d'acquisto, decomprimilo nella cartella mostrata sopra e riavvia la sessione della tua AI — stesso risultato. L'hai già acquistata? Il tuo assistente AI può scaricarla per te.
Prove dal mondo reale
Persone vere hanno svolto proprio questo lavoro con agenti IA.
Research stock positions as an AI analyst
Leggi il caso →Caso d'usoTrack investments over time via Claude Code and Robinhood MCP
Leggi il caso →Cosa contiene
Un file SKILL.md (la guida operativa) + un modello di partenza. Un'anteprima:
Portfolio Tracker
When to use
- You hold a dozen stocks and can't keep up with the news on all of them every week
- You keep a watchlist of companies you might buy and want to hear about them only when something matters
- You want a regular, structured look at your portfolio — performance, news, and risk — without paying for a research subscription
- You've set yourself risk limits but never actually check whether they've been breached
- You keep a running investment journal and want it updated from real data, not memory
Workflow
- Connect in read-only (input: brokerage account or data feed → output: confirmed read-only connection)
Hook up the data source — an official broker MCP or API — and verify the permission is read-only before anything else. The connection must be able to see holdings but unable to trade. This is a hard gate: no read-only, no tracker. - Define what you hold and what you watch (input: positions + watchlist → output: tracking sheet)
List current holdings (ticker, position size, entry date, entry price) and the watchlist with why each name is on it. Snapshot everything into a log file the first run — that baseline is what every future comparison runs against. - Set your risk lines (input: your risk tolerance → output: alert thresholds)
Write the lines you care about: "alert me if any position drops 15% from entry," "flag if a holding falls below its 200-day average," "tell me about insider selling over $1M." These are yours to set, not the AI's — it enforces them, it doesn't choose them. - Run the research pass on schedule (input: tracking sheet + fresh news/prices → output: research report)
On a cadence you pick (weekly or twice-weekly works), the AI pulls fresh prices and news for holdings and watchlist, then writes a report: per-name news summary, the bull case and bear case in plain words, scenario notes, and which thresholds broke. One real case runs this twice a week across 15 tickers. - Log everything, decide yourself (input: research report → output: updated investment journal)
Every run appends to the journal: date, prices, what changed, what was flagged. You read the report and make every buy and sell decision yourself. The tracker never recommends a trade — it shows you what happened and what's near your lines.
Output spec
Anteprima del modello
Portfolio Tracker — Tracking Sheet Template
One sheet. Baseline first, then every report runs against it.
Connection
- Data source: {broker MCP / API}
- Permissions: READ-ONLY (verified {date} — trading functions off)
- Report cadence: {e.g. every Tuesday and Friday, 8am}
Holdings baseline
Watchlist
Alert thresholds
- [ ] Any holding down {x}% from entry
- [ ] Any holding below its {200-day} moving average
- [ ] Insider selling > ${x} reported this week
- [ ] Watchlist name crosses my watch price
- [ ] {your own line}
Alert rule: only when MY lines break — no market noise, no "hot stock" tips.
Research report format (one per run)
Il pacchetto della skill (SKILL.md + modello) è scritto in inglese.
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