Opportunities › Transparent AI-powered trading automation systems › Proposed app
Glassbook Signals
Signal-triggered trade analysis where every step and data source is open to inspect
- Score
- 42
- confidence 53
- Evidence
- 7
- items on the page
- Rivals
- 3
- named in sources
- First version
- 45 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2011
- Mature market · AI estimate
ScreensConcept
Desktop app: Traders need to build and review workflows, inspect data sources step-by-step, replay runs, and approve trades—all detail-heavy desk work. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
Run #212
Awaiting your approvalProposed: Buy
About this appAI proposal
Glassbook Signals runs analysis when your technical indicators fire, not on a five-minute or daily clock. You build a workflow from visible steps: a trigger, the data it reads, the checks it applies and the action it proposes. Nothing is hidden.
Every run leaves a record: which candles and indicator values were read, what each step concluded, and why an order was or was not proposed. You can replay a run, change one step and compare the result, so strategies become reproducible.
It is made for individual traders who use technical analysis and want automation they can inspect. Connect your own AI assistant through MCP to edit indicators and workflows in plain language, and review every change before it goes live.
- Tagline
- Automation you can read, step by step.
- Voice
- ClearCandidPrecise
- Why this name
- A glass book is a ledger you can see through: every step and data reference is visible, and signals are what start each run.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Indicator-triggered runs
Start a workflow when an indicator crosses a level or a pattern forms, instead of polling on a fixed schedule.
No member yet
Step-by-step workflow view
Each workflow is a list of readable steps. Open any step to see its inputs, logic and output.
No member yet
Data reference log
Every run records which instruments, timeframes and values were read, with timestamps.
No member yet
Replay and compare
Re-run a past trigger on the same data, edit one step, and see how the outcome changes.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#0F4C4FDeep Teal · primary#F6F3ECPaper · surface#1B2A2FInk · text#E0832BAmber Signal · accent#2F6FA8Chart Blue · data
Typography
Aa
Glassbook Signals
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Automation you can read, step by step.
PricingAI proposal
The material gives no price for AI trading tools. TradingView's verified pricing runs from €12.95 to €199.95 a month; these tiers sit in its lower range as a starting point to test.
Builder
Free
- Paper mode only
- 2 workflows
- Full run logs and replay
- Manual indicator triggers
Trader
$15 a month
- Live broker connection
- 10 workflows
- Approval or auto-run
- MCP assistant access
- CSV and JSON export
Pro
$39 a month
- Unlimited workflows
- Higher trigger volume
- Long run history
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- Shared outputs. Traders can publish a read-only run page showing a workflow's steps and data used, to share in forums and chats as proof of how a strategy works.
- Do they become customers?
- Viewers are often other traders and could sign up to copy a workflow. Test whether shared run pages convert viewers to free accounts, and free accounts to paid.
- First customers
- Solo retail traders who use technical indicators on forex or equities and already set TradingView alerts, and who also use an AI coding assistant.
- Where to reach them
- Hacker News and Reddit: Post a transparent-run demo in trading and algo forums, inviting traders to build one workflow.
- Trader YouTube and Discord: Offer free setup sessions to small creators who teach indicator strategies.
- Direct outreach: Message traders who publicly share TradingView setups and offer a paper-mode trial.
- First milestone
- Twenty traders run a workflow in paper mode for two weeks, and five pay for live trading.
Why people already pay for this
- Public claimExisting AI trading tools use fixed-schedule analysis rather than event-triggered, and lack transparency in analysis decisions.
- Public claimTraders need better visibility and control to tune trading workflows for reproducibility and reliability.
- Public claimThe builder values transparency highly in trading analysis and perceives this as a gap in the market.
- Public claimAPI-based AI service access for trading automation is expensive; subscription-based MCP access is significantly cheaper.
- Verified
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Market dataLicensed market data feed with webhooksIndicator triggers need timely candles; licensing and cost must be checked.
- This app · Job queueDurable event queue and workersRuns fire on signals and must be processed once, in order, and logged.
RisksAI inference
- RegulatoryAutomated trading tools may fall under financial rules in some countries. The product must not give advice, and needs legal review before live trading.
- DataReal-time market data is licensed and can be costly to redistribute; free tier costs could exceed revenue.
- TechnicalLate or duplicate triggers can cause wrong orders. Idempotent runs, kill switches and limits are needed.
- CommercialTradingView already has alerts and a large user base; traders may see little reason to add another tool.
- AIAssistant-made edits may introduce faulty logic. Approval diffs help, but users may approve without reading.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.