Market data, AI and quant in one place — with full citation of every finding and an explicit level of uncertainty. Forecast, probability, scenario. Never a promise of profit.
The Hard Risk Kernel decides; the language model never places an order. Without a validated edge, every scan honestly ends in NO_TRADE — and that is a correct result, not a failure.
AegisQuant combines live market data, quotes and portfolio monitoring, multi-timeframe interactive charting, a quantitative strategy engine (Strategy Zoo), a 15-agent AI Intelligence system, probabilistic forecasting, risk management and broker connectivity — in one cohesive product for desktop and mobile. The backend runs 24/7 (NATS, PostgreSQL/TimescaleDB, FastAPI), and a separate "Guardian" process watches the market outside trading hours too. Every number carries a source and a freshness marker; no screen pretends to have data it doesn't.
Switch tabs to see a real screenshot of each key screen — no need to scroll the whole page. A detailed walkthrough of each one is further down.
Home — 4 portfolio KPIs and a second row (buying power, market, broker, Auto Trade). Equity curve, PAPER positions, latest decisions and news.
AegisQuant is a web app installable as a PWA — no App Store, no Google Play. Below are real phone screenshots (an Android wrapper exists, but isn't published to a store yet).










Four headline KPIs (portfolio value, today's result, cash, open risk) and a second row (buying power, market, broker, Auto Trade). Below: indices, the equity curve, PAPER positions, the latest Auto Trade decisions, news and research candidates.


A market terminal (indices, 1D/5D/1M sectors, S&P 500 breadth, VIX, Treasury yields), an instrument page with a chart, fundamentals and SEC filings, and Chart Lab — a full technical workbench on Alpaca SIP candles with a market-structure heuristic.
The Today tab shows in plain language what the AI found: new findings, your symbols with a positive/negative/mixed balance, the biggest risks and live changes. The AI Quality / Audit tab is the full lab view: evaluation metrics, an archive, replay and a hallucination test. Every finding is sourced — no black box.
The engine aggregates Strategy Zoo signals, AI findings, market regime and historical analogues into a quantile distribution (p10–p90) across 1–20 session horizons: three scenarios (BASE 50%, BULL 25% along the p90 path, BEAR 25% along the p10 path), probability of a positive return and expected volatility. Every number is a real calculation over point-in-time data — never a model's guess.
Upload a chart screenshot — a vision model recognizes the symbol and timeframe and describes in words what it sees, each with an honest confidence value. When symbol confidence clears the threshold, the extraction is reconciled against a real Alpaca quote — never against a fabricated "confirmation".
The Hard Risk Kernel computes position size, stops and 1R–3R targets before any order reaches the broker. AutonomousPaperTrader scans the market every 15 minutes in session, runs through the execution gates and sends a PAPER order only after explicit operator consent — and without a validated Strategy Zoo edge, the result is an honest NO_TRADE.


History is a single timeline of everything that happened: research, NO_TRADE decisions with their reasons, forecasts, AI findings, plans, orders, fills, system events — filterable by category and symbol. The alerts engine combines price, quant, news, SEC, AI, risk, broker and system in one place.
Health of 12 components every 30 seconds, in Trading & risk / Infrastructure / Data & AI groups. Guardian watches the market outside trading hours. Local mode without Docker is shown separately as "local fallback" — honestly, without posing as a full HEALTHY state.
Six stages between a market candle and a possible PAPER order. The language model sits at the top of the pipeline — it supplies context and research. It has no write path to settings, trade plans or the broker.
Alpaca SIP, Cboe VIX, Treasury yields, SEC EDGAR, the macro calendar. A candle older than 4 days blocks further stages.
6 quant strategies tested point-in-time on the S&P 500 (2020–2026) and 15 AI agents producing research findings, never orders.
Quant signals, AI findings, market regime and historical analogues aggregate into a probability distribution — quantiles, not a point.
Position size, stops, 1R–3R targets, a portfolio heat cap and a Kill Switch — before any order reaches the broker.
The connector accepts only the Alpaca PAPER environment. LIVE cannot be selected in code — not just disabled in the interface.
Scan → validation → risk → a PAPER order after explicit operator consent. Without a validated edge: an honest NO_TRADE with a stated reason.
Real money is out of the code's reach — the broker connector accepts only the Alpaca PAPER endpoint, and the LIVE environment cannot be selected. SHADOW (G7) and LIVE (G8) stay blocked until the matching gate is formally passed.
AegisQuant's safety is not a marketing claim — it is rules written into the code and covered by tests.
The connector works only with the Alpaca PAPER endpoint. LIVE is impossible in code; SHADOW and LIVE stay blocked in the interface until G7 and G8.
An order can only come from a plan approved by the Hard Risk Kernel, submitted exactly once, with a deterministic identifier.
Autonomy requires explicit operator consent to a specific settings and risk-profile version. Any change requires re-confirmation.
The operator can only narrow the limits (risk per trade ≤ 1%, daily loss ≤ 3%, drawdown ≤ 20%). The AI has no access to them.
Any unexplained mismatch with the broker triggers SAFE_MODE. Protection of open positions runs at all times, regardless of Auto Trade's state.
Every review package is scanned with gitleaks and compared against the real keys/account number. Result: 0 hits, verifiable in a file next to the archive.
Exactly what you see in the app itself — no prices, no dates, no guessing. Premium is in preparation.

Exactly the account plan every new user sees today — no card, no commitment.

The full AI research terminal: 15 evaluated agents, forecasts across five horizons, Chart Vision, Aegis AI and quant research on real market data.
Status as of 2026-09-26. Trading environment: Alpaca PAPER only (simulated account). No part of the product can place an order with real money.
AegisQuant is a research and decision-support tool — never a financial advisor. The product does not promise profit, does not guarantee an outcome, and does not make personal investment recommendations. The product's language is: forecast, probability, scenario, research, NO_TRADE.
All trading happens exclusively on a PAPER (simulated) Alpaca account — no part of the product has access to real money. Historical results, backtests and probabilistic forecasts do not guarantee future results. Every statistic states its calculation method and calibration status.
The investment decision is made solely by the user, outside this product and at their own responsibility. AegisQuant is a research workbench, not a machine for making money.