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Economic Signal Trading Desk Service

A human-staffed trading intelligence service that monitors 40+ economic data sources in real-time, synthesizes them into 90-second decision briefs during market hours, and delivers actionable trade signals via direct phone/Slack before retail traders can react. A team of 3-4 former sell-side economists and traders sits in a war room, flags material deviations from consensus, and calls subscribers with 'BUY 10Y YIELDS' or 'REDUCE TECH EXPOSURE' before the algos move.

SERVICE

29 weeks • 70% confidence

Value Proposition

Eliminates the 2–8 minute lag between economic release and typical retail trader reaction by providing human expert interpretation and directional conviction DURING the release window. Beats Bloomberg terminals and Discord chat groups because it's curated, not crowdsourced, and comes from traders who've actually profited from these signals. Costs 1/10th of a Bloomberg terminal subscription.

Target Audience

Active retail traders with $500K–$5M portfolios; small RIAs managing $50M–$500M; prop trading groups; individual options traders who execute 5+ trades weekly

Key Features

  • Real-time monitoring of 40+ data sources (BLS, ISM, Fed speakers, earnings calendars, options flow)
  • Pre-market briefing (7:30 AM ET) on the day's macro triggers and positioning risk
  • 90-second 'flash briefs' delivered via phone call + Slack during data releases (jobs Friday, ISM Tuesday, etc.)
  • And more, with full implementation detail...

Tech Stack

Bloomberg Terminal (or free alternative: FRED API, Yahoo Finance, SEC EDGAR) Slack API for real-time alerts Python/Pandas for data aggregation and deviation detection Alpaca or Interactive Brokers API (optional, for trade tracking)
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Original Problem

Investors struggle to synthesize fragmented economic data and Fed signals to make timely trading decisions

Active traders and portfolio managers face information overload from multiple simultaneous economic releases (jobs reports, ISM data, Fed speaker commentary, earnings) happening throughout the week, making it difficult to quickly identify which signals matter most and execute trades before market moves. Current solutions force users to manually monitor dozens of sources, leading to missed opportunities and delayed reactions to market-moving events.

Score: 46.5%

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