Stop reading charts.
Read the desk.
BlockTicker AI publishes structured research — reads, plans, backtests and answers — on every asset that clears the 65-confidence floor. Live data, named sources, hard rails. Decisions, not vibes.
One desk. Four lenses.
Each tool answers a single question — what’s the read, what’s the plan, did this work historically, can you explain that. All four run on the same data layer and write to the same private library.
Deep analysis
Comprehensive research notes - technical, on-chain, macro, risk. Thesis, counter-thesis, catalyst timeline, quality score.
Open analysis →Trading assistant
Pick your indicators - RSI, MACD, EMA, volume - and get a plan with trigger, invalidation and position-size context.
Open trade plan →Strategy backtesting
Replay the rationale against history. Win rate, max drawdown, regime filter and sample-size warnings before you trust a setup.
Open backtest →AI research bot
Ask why a move happened, summarize a protocol, compare assets, or turn source material into a short desk memo.
Open research bot →What a published read actually looks like.
A valid public Desk publication from the live report cache. Verdict and quality first, then source-backed theses and any catalyst timeline stored with the report.
Every publication, logged and sourced.
A live record of what the AI has actually shipped — reads, plans, backtests, answers. Every row is timestamped, has a confidence, names its sources and is replayable.
Signal log · 24h window
The workbench, connected to live data.
Pick the workflow, asset, timeframe, indicators and publish mode. The public interface is the same control surface used by the saved AI report library.
How BlockTicker AI differs from the alternative.
Most retail research is either too slow (analyst notes, weekly newsletters) or too noisy (free chatbots without grounding). The desk model sits in between — fast, sourced, gated and replayable.
| Criterion | BlockTicker AI · Desk | Generic LLM chatbots | Analyst newsletters | Self-research |
|---|---|---|---|---|
| Live price & tapeRead at publish | ✓Yes - cached live tape | Stale unless connected | Yesterday print | Manual |
| Named source per claimEvery factual sentence cited | ✓Stored source count | Often uncited | Footnoted | Up to you |
| LatencyIdea to structured read | ✓Measured telemetry | Depends on setup | Days to a week | Hours |
| Threshold gateNo low-confidence publishing | ✓Configured floor enforced | Always answers | Editor discretion | - |
| Backtest rationaleReplay the same rule | ✓Preset library | - | Not interactive | Manual setup |
| Private libraryIndexed by asset and date | ✓Tagged - exportable | Chat history | Email archive | You file it |
| CostResearch ops | ✓Free - trader pro | API bill | Subscription | Your time |
Evidence stack & safety rails.
The AI doesn’t run in a vacuum. It reads the same live data layer that powers the rest of BlockTicker — and it ships with hard rails that decide what gets published and what gets withheld.
Source discipline
Every claim has named contextNo publication ships as a bare assertion. Market facts, source notes and synthesis stay visually separated.
Confidence floor
Sub-65 reads stay privateConfidence below 65 stays unpublished. The model can still explain why, but it will not write a directional read.
No trade execution
Plans, not ordersThe AI writes structured plans. It does not place trades, custody funds or connect to brokerages.
Audit trail / replayability
Every output can be inspectedSaved reports keep their task, inputs, source count, quality score and publication state for later review.
Free to start. Four lanes when you outgrow it.
Start on Free, move to Pro for full AI research, jump to Trader for power-user limits, or Institutional for team, API and SLA. Same desk, four lanes.
Live markets, news context, education, and limited AI previews.
Market watchers validating the product.
- Live Markets
- News Feed
- Basic Screeners
- Limited Watchlist
- Limited Alerts
- Public Ai Brief
- Ai Asset Analysis
- Ai Market Brief
- Ai Trading Signals
AI analysis, signals, portfolio intelligence, alerts, and exports.
Active traders who need signal context and research speed.
- Live Markets
- News Feed
- Basic Screeners
- Unlimited Watchlist
- Advanced Alerts
- Public Ai Brief
- Ai Asset Analysis
- Ai Market Brief
- Ai Trading Signals
High-volume AI research, multi-portfolio, custom reports, and priority refresh — no API required.
Power traders hitting Pro limits who don't need team seats or API workflows.
- Live Markets
- News Feed
- Basic Screeners
- Unlimited Watchlist
- Advanced Alerts
- Public Ai Brief
- Ai Asset Analysis
- Ai Market Brief
- Ai Trading Signals
Team workflows, API, webhooks, custom reports, SLA, and support.
Teams, funds, agencies, and desks needing API workflows.
- Live Markets
- News Feed
- Basic Screeners
- Unlimited Watchlist
- Advanced Alerts
- Public Ai Brief
- Ai Asset Analysis
- Ai Market Brief
- Ai Trading Signals
One desk. Four tools. Your library.
Open the workbench and run a real analysis on an asset you actually care about — takes about 60 seconds, no card required.