Deploy trading bots that turn volatility into realized profit
Offline? Offlinr's online.
Compose, backtest, and run algorithmic bots across stocks, options, crypto, and futures — with institutional-grade guardrails on every order.
No credit card · Paper trading is free · Live execution is opt-in and risk-gated
Illustrative demo data — not live performance or a projection.
Four steps from idea to guarded execution
The same decision and execution path powers backtest, paper, and live — so what you validated is exactly what runs.
Discover
Scored smart lists rank the whole universe by recency-decayed signal composites, so the freshest setups float to the top — not stale ones.
Validate
Walk the strategy forward across ten years of daily history with embargoed splits and champion/challenger lineage — no peeking, no cherry-picking.
Deploy
Launch on the built-in $100k paper account or a connected broker in minutes, wrapped in prop-firm-style risk rails from the first order.
Relax
Drawdown-ladder guards, stale-data fail-closed gates, and a full audit trail watch every tick — so you never have to babysit a bot.
You can see exactly how a bot decides
No black box, and nothing you have to take on faith. Every order traces back through the strategy that placed it, the composite that triggered it, and the individual algo scores that made up that composite — the same picture you get while you are still configuring the bot.
Schematic. Counts are the platform's real shape; no returns are shown or implied.
Every algo shows its own score
32 signal algos, each producing a score between −1 and +1 with its own confidence. You choose which ones run and how much each one counts.
Gates multiply, they don't vote
A regime gate has no direction of its own — it scales everything else. A gate reading 0.2 quietly divides every other algo's influence by five, which is why the builder draws it rather than listing it.
The strategy is the only thing that trades
One composite per symbol goes to the strategy, which turns it into orders under your thresholds — then risk checks, buying-power pre-checks and the kill switch all get a veto.
And it is all replayable
Orders, fills, cash and positions are projections over an append-only event log, so the reason for any decision is still there weeks later.
A real strategy library, built in
Every card is a real strategy from the platform catalog, and every diagram is the same one the app draws from its registry — the actual mechanic, redrawn from the parameters shown. Illustrative geometry, never real returns.
DCA — Martingale
Buy a base order, then bigger 'safety' buys on each dip; sell the lot at a small profit.
Backtest it in the LabSupernova
Scatter a small seed across many top movers, then harvest winners and recycle the cash into martingale accumulation.
Backtest it in the LabCross-Sectional Momentum
Rank the whole universe and hold the top of it — optionally shorting the bottom.
Backtest it in the LabMean-Reversion Fade
Buy the oversold extreme, sell into the recovery — the contrarian of the set.
Backtest it in the LabRange Grid
Rest a ladder of buy rungs across a sideways band and sell the stack at one target.
Backtest it in the LabBracket (TP/SL)
One signal entry, then the exit is price — a take-profit above and a stop below.
Backtest it in the LabThe platform under the bots
Retail-grade UX on top, institutional-grade machinery underneath.
Scored smart lists & signals
Live screens that rank symbols by a decaying composite of 32 signal algos. Bots subscribe to the list, not a static basket — the universe refreshes itself.
Walk-forward Lab
Calendar walk-forward backtests with embargoed splits, out-of-sample scoring, and explicit champion promotion — models earn their place.
Multi-venue
Alpaca and Robinhood today — paper and live — on a broker-adapter contract built to add more venues without touching a strategy.
Risk guards & drawdown ladders
Stepped drawdown ladders, buying-power pre-checks, kill switches, and pre-trade gates on every order path. Missing data means no trade.
Real-time observability
OpenTelemetry traces, structured logs, and live health dashboards across every money path — the platform watches itself, in the open.
Multi-tenant, audit-grade security
Tenant-scoped RBAC, encrypted broker credentials that are never returned by the API, and a hash-chained audit row on every mutating request.
The whole desk on one screen
Positions, working orders, guard telemetry, and the live tape share a single pane — the same numbers the bots trade on, not a separate report.
Illustrative product view — not live data
Built for trust, down to the ledger
Everywhere money moves, the platform is engineered like a ledger, not a spreadsheet.
Event-sourced money paths
Positions, cash, and P&L are projections folded over an append-only event log — never a mutable balance that can silently drift.
Fail-closed by default
Unknown flag: off. Missing or stale data: no trade. Reconciliation mismatch: halt and alarm. The safe state is always the default state.
Hash-chained audit log
Every mutating request — accounts, orders, bots, risk settings — appends a hash-chained audit row: a semantic record where the action has one, the route and principal otherwise. Tamper-evident by construction, re-verified nightly, anchored offsite.
Encrypted credentials
Broker keys are encrypted at rest and never logged or returned by any API response.
- #104order.placedAAPL · buy 12hash 9f2c
- #105fill.received12 @ $227.14prev 9f2c → hash 41be
- #106cash.debited−$2,725.68prev 41be → hash c803
Balances are computed from the chain — never stored as mutable state.
Put a disciplined bot to work
Start on the built-in $100k paper account — no card, no broker required. Go live only when the numbers have earned it.