Market watchlist change-detection briefing desk

For

Traders and small trading desks monitoring listed equities, options and insider activity

Solves

Significant market moves, insider transactions and options flow arrive across several rented tools, so traders miss changes and rebuild context by hand.

Delivers

Reviewer-approved change briefings linked to source records

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce missed material changes and manual context gathering while keeping every alert source-linked.

1. Stream real-time price and volume alerts.
2. Let users define custom alert criteria per instrument.
3. Detect technical chart patterns and flag candidates.
4. Track insider buying and selling activity.
5. Generate AI-assisted signals with source links.
6. Screen instruments against saved criteria.
7. Consolidate fundamentals, flow and events per company.
8. Highlight institutional, insider and public-officeholder activity.
9. Rank industries and instruments against saved rules.
10. Draft concise research summaries and idea prompts.
11. Show real-time options flow and sweeps.
12. Filter money-flow trends and unusual activity.
13. Chart money-flow trends over selectable windows.
14. Flag unusual activity for review.
15. Provide charting and technical study tools.
16. Score market sentiment from permitted text sources.
17. Run in any browser without downloads.
18. Optimize the feed for mobile and tablet.
19. Attach educational notes and community references.
20. Compare the reviewed result with the recorded baseline and value assumptions.
21. Capture corrections and named-owner approval before consequential use.
22. Export a versioned reviewer-approved change briefing with source references and unresolved questions.

Everything these tools do, in one app

• Real-time alerts Sends immediate notifications about significant market movements or stock updates.Found in MarketAlerts, Market Terminal
• Custom alerts Allows users to tailor notifications to focus on specific market aspects or criteria.Found in MarketAlerts
• Technical pattern recognition Uses AI to identify chart patterns that may signal trading opportunities.Found in MarketAlerts
• Insider transaction tracking Monitors insider buying and selling activity to reveal strategic moves by executives.Found in MarketAlerts, Market Terminal
• AI-powered signals Provides AI-generated trading signals and alerts for actionable insights.Found in MarketAlerts, TradeUI
• Smart screener Filters stocks based on specific criteria to highlight potential opportunities.Found in MarketAlerts
• Consolidated company data Brings together fundamentals, flow, and events in one place for easy analysis.Found in Market Terminal
• Smart-money tracking Highlights activity from institutions, insiders, and public officeholders.Found in Market Terminal
• Industry and stock ratings Surfaces leaders and potential ideas without manual screening.Found in Market Terminal
• AI-assisted research Generates idea prompts and concise summaries to speed up decision-making.Found in Market Terminal
• Real-time options flow Delivers up-to-the-minute data on options flow and sweeps.Found in TradeUI
• Advanced filtering Enables traders to analyze money flow trends and spot unusual activity quickly.Found in TradeUI
• Money flow trend analysis Analyzes money flow trends to help traders assess market conditions.Found in TradeUI
• Unusual activity detection Identifies unusual market activity that may indicate trading opportunities.Found in TradeUI
• Technical analysis study tool Provides advanced charting and study tools for technical analysis.Found in TradeUI
• AI sentiment analysis Uses AI to analyze market sentiment for actionable insights.Found in TradeUI
• Browser-based access Runs on any browser without the need for downloads.Found in TradeUI
• Mobile and tablet optimization Optimized for mobile and tablet devices to stay connected on the go.Found in TradeUI
• Educational resources Offers educational videos and community support to enhance trading knowledge.Found in TradeUI

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed market data, watchlists, alert rules and research notes

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed market data

4. 3

   Watchlists

5. 4

   Alert rules and research notes

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewer-approved change briefings linked to source records

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Market data licensing, alert delivery and suitability checks remain the operator's responsibility. A model suggestion is never a verified fact, professional decision or authorization to trade.

What your team sees

Primary screens: Watchlist and alert rules, Live change feed, Briefing and review. Use a compact watchlist table, a central change timeline, and a right-hand panel for source records, rules and comments. Let users compare a briefing against the underlying filings and prints. Display draft, changes requested and approved states. Provide a mobile-optimized view with alerts anchored to the relevant instrument. Make the task-specific outcome reviewer-approved change briefings linked to source records visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, data entitlements, watchlist versions, alert rules, approval states, usage allowances, delivery limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Broker and market data feeds, authorized filings and permitted news sources. Cloud storage, charting libraries and alert delivery channels. Start with file exchange and validate destination specifications before promising direct order routing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: stream real-time price and volume alerts; let users define custom alert criteria per instrument. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will traders and small trading desks monitoring listed equities, options and insider activity use it to solve "significant market moves, insider transactions and options flow arrive across several rented tools, so traders miss changes and rebuild context by hand"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Material changes surfaced before the close and analyst hours per accepted briefing.
4. Measure, then decide. Track material changes surfaced before the close and analyst hours per accepted briefing; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One licensed market data feed, one asset class and one delivery channel; trade execution and suitability advice remain outside scope. Implement one approved input format, a bounded representative case set and the first two task modules: stream real-time price and volume alerts; let users define custom alert criteria per instrument. Support the remaining modules with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved change briefings linked to source records. Retain the explicit scope boundary: One licensed market data feed, one asset class and one delivery channel; trade execution and suitability advice remain outside scope.

What the build depends on. Data feed access and entitlement checks, asynchronous alert jobs, editable version history, reviewer access and tested export formats. High-fidelity coverage requires licensed data and qualified review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One licensed market data feed, one asset class and one delivery channel; trade execution and suitability advice remain outside scope.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined watchlist package. Offer a monthly monitoring allowance after repeat demand. Quote complex multi-asset or institutional coverage separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved change briefing linked to source records. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce missed material changes and manual context gathering while keeping every alert source-linked. Demonstrate a concrete reviewer-approved change briefing linked to source records using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Traders and small trading desks professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved change briefing linked to source records from a small authorized input set, with a transparent calculation of material changes surfaced before the close and analyst hours per accepted briefing and no promised returns.

The first 30 days

1. Week 1: interview five traders and small trading desks monitoring listed equities, options and insider activity and inspect a recent example of significant market moves, insider transactions and options flow arriving across several rented tools.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure material changes surfaced before the close and analyst hours per accepted briefing, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Material changes surfaced before the close and analyst hours per accepted briefing. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if data access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Material changes surfaced before the close and analyst hours per accepted briefing; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved change briefings linked to source records. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved alert rules, reviewed briefings and delivery constraints, together with reliable delivery for a narrow trading niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for traders and small trading desks monitoring listed equities, options and insider activity. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

MarketAlerts, Market Terminal and TradeUI, plus broker platforms and manual screening. Compare this product with the buyer's present method on material changes surfaced before the close and analyst hours per accepted briefing. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Market data licences, alert delivery, storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved change briefings linked to source records. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve data entitlements, source attribution, timestamp accuracy and usage permissions. Named reviewers approve substantive briefings and delivery scope. One licensed market data feed, one asset class and one delivery channel; trade execution and suitability advice remain outside scope. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.