Finance Legal Watch Things

Market Signal Hunter

An automated pre-open intelligence operator that, every weekday morning at 07:30 local time, sweeps price action, top movers, news headlines, and macro signals across your selected coverage (Nasdaq 100 by default), applies technical analysis (RSI, MACD, EMAs, Fibonacci retracements, break-of-structure), ranks the 5 highest-conviction setups, deduplicates against the past 14 days, and emails you a punchy HTML briefing. Logs every signal to a tracking sheet so you can audit hit rate over time, and skips weekends automatically.

13 template uses · 12 catalog views

Agent snapshot

Built for finance legal work, not a generic template.

13

template uses

12

catalog views

2

integrations used

2

labels matched

Finance Legal Watch Things

Sample input

Build an agent to market Signal Hunter. Use Gmail and Google Sheets. Focus on watch things. Return a ready-to-review result after each run.

Sample output

Every weekday at 07:30, sweeps Nasdaq 100, US30, and macro headlines, applies RSI/MACD/Fibonacci/break-of-structure analysis, ranks the top 5 high-conviction setups, dedupes against the past 14 days, and emails you a punchy HTML briefing before the open.

Workflow brief

Where Market Signal Hunter fits in a finance legal automation system

Market Signal Hunter is designed for a specific recurring job: an automated pre-open intelligence operator that, every weekday morning at 07:30 local time, sweeps price action, top movers, news headlines, and macro signals across your selected coverage (Nasdaq 100 by default), applies technical analysis (RSI, MACD, EMAs, Fibonacci retracements, break-of-structure), ranks the 5 highest-conviction setups, deduplicates against the past 14 days, and emails you a punchy HTML briefing. Logs every signal to a tracking sheet so you can audit hit rate over time, and skips weekends automatically. 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 Gmail 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 8 concrete steps from the published agent data.

Signal 1 · 1

Check current time and weekday — skip immediately on weekends if configured

Signal 2 · 2

Verify in the Agent Database that today's briefing hasn't already been sent (idempotent re-runs)

Signal 3 · 3

Run parallel web searches and stock-market queries across the configured asset coverage

Signal 4 · 4

Use Twin AI to extract signal_type, conviction, break-of-structure direction, and Fibonacci levels per candidate

Signal 5 · 5

Score and rank with execute_js, applying penalties for repeated coverage and lower-quality fallback sources

Signal 6 · 6

Filter to the chosen conviction levels, keep the top N, and generate a 2-3 sentence executive summary

Integrations used

Market Signal Hunter connects Gmail and Google Sheets.

Gmail

Connected in this agent

Google Sheets

Connected in this agent

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Clone Market Signal Hunter

Start from the exact agent behind this page, then adapt the prompt, apps, and review steps to your finance legal workflow.

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Plans start at €20/mo

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