Polythemes · Trading automation
Your tested strategy, on autopilot — with a human hand on the switch
The ruleset that survived the backtest goes live unchanged. The bot scans and proposes around the clock; you decide how much it may execute on its own.
01 · Backtest-integrated
What you simulated is what trades
Automation isn't a separate product to configure from scratch. A validated backtest run exports as the live strategy — same filters, same exits, same sizing.
- 01Same ruleset, same code path — the parameters you swept and validated export directly as the live trading configuration
- 02No slippage between sim and prod — entry filters, exit ladders, and sizing behave in production exactly as they scored in the backtest
- 03Live performance vs. expectation — realized fills are tracked against the simulated curve, so drift shows up immediately
Move between modes any time. Most funds run semi-automated for the first weeks, then graduate the routine trades to full auto and keep sign-off on the outliers.
02 · Guardrails
Autonomy you can grant — and revoke — by degrees
Every execution path assumes the bot could be wrong or compromised. Approvals, key segregation, and hard limits keep the blast radius near zero.
- 01Semi-automated — the bot scans, scores, and proposes; nothing executes until you approve — ideal while trust builds
- 02Fully automated — hands-off execution inside hard limits: position size, max exposure, category caps, drawdown stops
- 03Kill switch — one action pauses all execution instantly — exits keep running, entries stop
- 04Human-factor authentication — bot executions are proposals until a human signs off — approvals are explicit, auditable actions
- 05Segregated keys — the operator key can trade but can never withdraw — custody stays with the fund owner
- 06Hard risk limits on-chain paths — spending caps and exchange approvals are scoped so even a compromised bot can't drain funds
- Operator key trades, never withdraws — funds sit behind contract-scoped approvals
- Every approval is logged — who signed, when, against which limits
03 · Real-time inflows
The 3D-strategy layer runs live
The same real-time intelligence you backtested — news flow, feeds, live orderbooks — streams into production decisions. Before the bot proposes a trade, the analyst layer reads what the world looked like a minute ago, not last month.
News flow agrees with the market's calm — no catalyst found that the price hasn't already absorbed.
Live escalation risk — the headlines contradict the calm this price implies. Not worth the yield.
See a strategy go from sweep to live fill
We'll walk you through the whole loop — backtest, export, approve, execute — on a live account.