Talk to the market.
Trade with the answer.
One platform with five integrated modules — setup probability reports with real statistics, macro intelligence, AI-enriched news, an automated journal, and a conversational AI analyst across years of price data.
Right now, your morning routine is data engineering.
A serious retail trader logs into multiple separate platforms every morning. One for setup probability data. Another for fundamental and institutional positioning. A third for real-time news. A fourth for the trade journal. Each was built independently. None of them shares a data layer. The trader is the integration layer — manually cross-referencing four screens before the session opens.
The Edge Library.
51 setups. Every probability carries its own statistics.
A browseable library of every recurring setup — categorised, searchable, live. Open any edge to drill into the statistics for your asset, your session and your lookback. The “What’s in play” sidebar tracks which setups are firing across the market right now, so the relevant one is always the closest click.
- 01Wilson confidence intervals on every figure. A 74% rate from 8 observations and a 74% rate from 312 observations look identical in most tools. Here they don’t.
- 02Recency decay flag. Long-run rate vs. last 30 days. When they diverge meaningfully, you see an explicit warning, not a silent drift.
- 03Empirical probability stacking. When two setups fire together, we count actual co-occurrences in the database — not multiply the individual rates.
- 04Live "What’s in play". Per-instrument session sidebar with active setup statuses, key levels (IB, ORB, prior day/week), and a composite Daily Bias Score.
- 05Configurable per setup. Asset, session, lookback period, day-of-week filter — drill into the exact slice that matches the trade you’re considering.
- 06Multi-asset coverage. Futures, forex, indices, MAG7 equities, crypto. One library, one query interface, one set of stats.
Fundamental Dashboard.
An AI-generated macro briefing before the market opens.
Institutional positioning, economic releases, central-bank policy, retail crowding, sector flows, and cross-asset sentiment are continuously synthesised into a single terminal-grade intelligence layer. Instead of isolated widgets and raw numbers, Sigma Analyst interprets the market environment and generates probabilistic pre-market context for every major instrument.
| Time | Event | Cur | Actual | Fcst | Surprise |
|---|---|---|---|---|---|
| Mon 14:00 | ISM Mfg PMI | USD | 52.4 | 50.8 | +1.6 ▲ |
| Tue 13:30 | JOLTS Job Openings | USD | 7.31M | 7.50M | -0.19M ▼ |
| Wed 13:30 | ADP Employment | USD | 233K | 140K | +93K ▲ |
| Wed 19:00 | FOMC Decision | USD | 4.50% | 4.50% | held |
| Thu 13:30 | Jobless Claims | USD | 216K | 222K | -6K ▼ |
| Fri 13:30 | Non-Farm Payrolls | USD | — | 180K | pending |
| Fri 13:30 | Avg Hourly Earnings | USD | — | 0.3% m/m | pending |
| Instrument | Bias | Trend | IB | ORB | COT | Retail | Setups firing | Action |
|---|---|---|---|---|---|---|---|---|
| GCGold | +8 | bull | long | long | long ext | contra long | IB Breakout · Engulfing | long |
| ESS&P 500 | +7 | bull | long | long | long | contra long | IB Breakout · Power Hour | long |
| 6EEUR/USD | +6 | bull | long | flat | long | contra long | ICT OPR · Engulfing | long |
| NQNasdaq 100 | +5 | bull | long | long | long | contra long | Gap Fill pending · ORB | long bias |
| YMDow 30 | +4 | bull | long | flat | long | balanced | Inside Bar | long bias |
| BTCBitcoin | +6 | bull | long | long | n/a | contra long | Power Hour · Asian Brk | long |
| RTYRussell 2000 | +1 | range | flat | flat | short | balanced | low conviction | stand aside |
| 6BGBP/USD | -3 | bear | short | flat | balanced | long, fade | Asian Range Break ↓ | short bias |
| CLWTI Crude | -5 | bear | short | short | short | long ext, fade | FVG Fill · Gap Fade | short |
| 6JJPY/USD | -7 | bear | short | short | short ext | short ext, fade | Liquidity Sweep ↓ | short |
- EURUSDcontrarian long
- GBPUSDcontrarian short
- USDJPYcontrarian long
- XAUUSDcontrarian long
- USOILcontrarian short
- 01Asset scorecards. Composite 0–10 score per instrument aggregating technical, COT, growth, inflation and employment bias. One pre-market glance per instrument.
- 02Top setups · multi-instrument bias screener. Every tracked instrument scored across trend, IB, ORB, COT and retail in a single heatmap grid — sortable by signal, filterable by asset class.
- 03COT positioning back to 1986. Net position, week-on-week change, and the full historical chart for every major futures contract — overlaid with price.
- 04Economic heatmap. CPI, NFP, GDP, PMIs, retail sales, jobless claims, FOMC. Actual vs forecast vs previous, with surprise magnitude colour-coded.
- 05Eight central banks. Fed, ECB, BoE, BoJ, BoC, SNB, RBA, RBNZ — current rates, decision history, next meeting wired into the calendar.
- 06Retail sentiment as contrarian signal. When retail is overwhelmingly long and institutions are short, the divergence is highlighted explicitly.
News Feed.
Every headline, classified, tagged and contextualised on arrival.
Most news feeds deliver raw wire copy. We pipe every headline through Claude analysis the moment it lands — instrument tagging, impact classification, directional bias with reasoning, and a historical reaction cross-reference against the OHLCV database. You see a structured market intelligence output, not a ticker.
- 01Tier 1 — primary government sources. BLS, BEA, the Fed itself for scheduled releases. As fast as anything on the market.
- 02Tier 2 — broad aggregator. 10,000+ sources pre-mapped to ticker symbols, delivered over WebSocket.
- 03Tier 3 — breaking wire. Reserved for unscheduled news where wire-speed matters and primary sources can’t deliver.
- 04AI enrichment on every headline. Impact (high/medium/low). Tagged instruments. Directional reasoning. Historical reaction context drawn from the OHLCV database.
- 05Auditable raw source. Every enriched item links back to the original wire copy — one click to verify the AI’s framing against the headline as written.
- 06Modular by design. Any source provider can be swapped without rebuilding the pipeline. Built for resilience, not lock-in.
Journal & AI Coach.
Your trades flow in. Your coach reads them.
Manual trade logging kills retention. Within weeks the journal is incomplete, the analytics are unreliable, the trader disengages. We solve it from day one — direct broker integration means trades flow in automatically the moment they close. Then an AI Performance Coach reads your own numbers and writes back a personalised report after every session.
- 01Direct broker integrations. Rithmic, Interactive Brokers, Tradovate, TradeStation, cTrader, MetaApi (MT4/MT5). CSV import as universal fallback.
- 02Setup tags wired to the Edge Library. Tag a trade as "IB Breakout on ES" and the journal validates it against the same probability data driving Module 01.
- 03Behavioural pattern detection. Insight cards surface automatically — post-loss revenge trading, time-of-day bias, exit-quality drift against your stated R:R.
- 04AI post-session report after every close. Personalised, drawn from your own numbers — never generic advice.
- 05Weekly review · monthly deep analysis · pre-session briefing. A genuine feedback loop on the trading craft.
- 06P&L calendar · equity curve · streak tracking. The metrics that matter, computed live from auto-imported data.
Sigma Analyst.
Ask the database directly. Get the answer in seconds.
Instead of navigating to a report and applying three filters, ask the question. Sigma Analyst is a conversational AI analyst with read-only access to the full historical OHLCV database. It calls a fixed catalogue of named, parameterised, read-only query functions — never arbitrary SQL — and writes back the answer with sample size and confidence interval attached. You can expand any answer to see exactly which function was called with which parameters.
- 01Plain-English queries. "Gap fill rate on NQ on Tuesdays in the last 6 months when the Asian session closed bullish?" — answered directly.
- 02Statistical context shipped in every response. Percentage, sample size, 95% Wilson CI, decay status — never just a number.
- 03Cross-cutting queries. "Show me the 5 highest-probability setups across all instruments for today's session" — Sigma Analyst scans the full active state.
- 04Source data transparency. Click any answer to see the function name, parameters and raw return — auditable, never a black box.
- 05Bounded by construction. Sigma Analyst never writes SQL. It chooses from a curated catalogue of named, parameterised, read-only query functions. The database is structurally protected.
- 06Conversational follow-up. "Now filter to Tuesdays only", "compare to last quarter", "what's the lift?" — context carries through the whole session.
Three properties no fragmented stack can match.
Conversationally accessible
The natural way to interact with a probability database is to ask it a question. Sigma Analyst answers directly, with statistical context attached, in a single response.
Statistically honest
Every figure carries sample size, a 95% Wilson confidence interval, and a recency decay flag when the last 30 days diverge from the long-run rate. No more 90% rates derived from 12 observations.
Integrated by construction
One database. One domain model. The bias score, the journal, the news feed and Sigma Analyst all read from the same data layer. Nothing duplicated, nothing cross-referenced manually.
Get early access — and founding-member pricing.
The first 100 waitlist members get founding-member access: an extended free trial, locked-in launch pricing, and direct access to the founder during the closed beta. Public launch is targeted for 2026.
Founding members are grandfathered when prices increase post-launch.
Try the platform before public launch — and shape what ships.
Build feedback goes straight to Callum during the closed beta window.