Institutional-grade analytics, an honest backtesting engine, and an AI copilot — for US equities and crypto. The terminal that respects your edge.
Not investment advice · For research & education
No cherry-picked numbers here. The one performance figure below is our own reference strategy run in the open — net of costs, per run. Then run a real backtest on your own strategy and see the actual result.
Run a real backtestA real, reproducible illustration
One un-optimized Reference SMA 10/30 crossover run through the exact engine your backtests use, over 2 of 5 instruments and 98 delayed historical bars. Equal-weight, per-run average — not a portfolio, not compounded.
Net of modeled costs — commission 2 bps/side + slippage 1 bps. Aggregated across 0 hypothetical trades. These are per-run figures over a limited sample and are NOT annualized (annualized metrics like CAGR/Sharpe/Sortino are omitted — they mislead over short windows). Per-run average, not indicative of future results and not an achievable return. Engine 0.1.0 · spec 40d6776a99.
| Instrument | Return / run | Max DD | Trades | Bars |
|---|---|---|---|---|
| BTC/USD | 0.00% | 0.00% | 0 | 49 |
| ETH/USD | 0.00% | 0.00% | 0 | 49 |
Runs over the DELAYED historical bars held for each instrument (polled market data, not a real-time SIP feed). Only symbols with enough history to warm up the slow SMA are included; coverage grows as more data is backfilled.
An event-driven engine that's structurally look-ahead-free and models real commission, slippage, and spread. Every result is reproducible.
Describe a strategy in plain English and get a validated spec back — never auto-executed. Grounded explanations of every result.
TradingView-grade candles with real-time data over WebSockets, indicators, and a fast, fluid workspace.
One canonical spec across AI, code, and a visual builder. Mandatory exits, sizing, and enforced risk limits — by design.
Deploy a strategy and watch it trade live against a virtual ledger using the exact same engine as your backtest.
Position caps, daily-loss halts, and a kill-switch are enforced — not decorative. Real-money trading stays gated behind hard controls.
Honest numbers, enforced risk, AI that explains instead of guesses.
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