Portfolio Signal Hunter
An automated market surveillance agent that watches a list of stocks and crypto pairs on a 15-minute cadence during US market hours. It pulls fresh prices, computes RSI(14) and 50/200-day moving averages, checks for crossovers and overbought/oversold thresholds, and screens top news outlets for keywords tied to portfolio risk and black-swan triggers. Each newly triggered signal is logged to its own database and sent as a grouped Telegram alert with symbol, signal type, price, and a short rationale. Already-fired signals are deduplicated by date plus symbol plus signal type so the same condition never alerts twice in a session.
Agent snapshot
Built for finance legal work, not a generic template.
4
template uses
8
catalog views
2
integrations used
2
labels matched
Sample input
Build an agent to portfolio Signal Hunter. Use Telegram and Google Sheets. Focus on watch things. Return a ready-to-review result after each run.
Sample output
Every 15 minutes during US market hours, scans your stock and crypto watchlist for RSI, moving-average crossovers, and breaking news triggers, dedupes against past alerts, and pings Telegram with each new signal.
Workflow brief
Where Portfolio Signal Hunter fits in a finance legal automation system
Portfolio Signal Hunter is designed for a specific recurring job: an automated market surveillance agent that watches a list of stocks and crypto pairs on a 15-minute cadence during US market hours. It pulls fresh prices, computes RSI(14) and 50/200-day moving averages, checks for crossovers and overbought/oversold thresholds, and screens top news outlets for keywords tied to portfolio risk and black-swan triggers. Each newly triggered signal is logged to its own database and sent as a grouped Telegram alert with symbol, signal type, price, and a short rationale. Already-fired signals are deduplicated by date plus symbol plus signal type so the same condition never alerts twice in a session. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses Telegram and Google Sheets as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 7 concrete steps from the published agent data.
Market-hours guard: read the current time and exit silently if outside the chosen active sessions
Load processed_events and signal_log tables to know which signals already fired in the last 14 days
Fetch latest price history (1y, 1d) for every watchlist asset in parallel using the Stock Market tool
Compute RSI(14) and SMA(50)/SMA(200) for each asset and detect crossovers and threshold breaches
Run a parallel news scan for the configured news topics across top financial outlets and filter with Twin AI
Filter results against processed_events to keep only new signals, score by severity, and rank
Integrations used
Portfolio Signal Hunter connects Telegram and Google Sheets.
Telegram
Connected in this agent
Google Sheets
Connected in this agent
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Start from the exact agent behind this page, then adapt the prompt, apps, and review steps to your finance legal workflow.
Plans start at €20/mo