AI-assisted strategies, backtesting, exchange connectivity, and risk controls inside the A3 Lab ecosystem.
Automated trading involves risk. No strategy can guarantee profit.
Each engine ships with explicit parameters, intended use cases, and the risks you should weigh before deploying capital.
Splits an entry into a series of safety orders that average price as the market moves against you, with configurable take-profit ladders.
Ranging markets, slow trends, accumulation phases on pairs you would hold anyway.
Drawdown grows with deeper averaging. A persistent trend against position can lock capital for long periods.
Places automatic buy/sell orders along a price grid to capture intra-range volatility without taking a directional view.
Sideways, mean-reverting markets with stable liquidity and tight spreads.
If price breaks out of the grid range, unrealized loss accumulates and grid trades cease to fire.
Adaptive engine that detects market regime (trend / range / volatility cluster) and routes capital to the appropriate sub-strategy.
Volatile, regime-shifting markets where a single static strategy underperforms.
Model decay over time. Past regime distribution may not generalize. Requires monitoring and periodic retraining.
Monitors price dislocations across venues and routes orders to capture spread when execution cost permits.
Liquid pairs across multiple exchanges with reliable connectivity and low latency.
Fees, slippage and transfer latency can erase the spread. Capital lock-up across venues.
Cross-strategy guardrails: stop-loss, position limits, volatility filters, liquidity checks and pause conditions applied above every bot.
Always on. Acts as the safety net for all running strategies.
Aggressive limits may pause profitable bots; loose limits weaken protection. Calibration matters.
Every order flowing through A3 Ticker Pro passes through eight inspectable stages.
Direct exchange WebSocket and REST feeds — order book, trades, funding.
Indicators, ML models or rule sets emit a candidate signal with confidence.
Volatility, liquidity, exposure and drawdown checks gate the signal.
Replay across historical windows with fees and slippage assumptions.
Run live signals against real markets without real capital.
Smart order routing with latency-aware placement and retries.
Real-time PnL, drawdown, fill quality and per-bot health metrics.
Auto-pause on breach, rebalance grid bounds, or close positions on triggers.
Historical simulation helps evaluate strategy behavior under past conditions. Future market conditions may differ materially.
Definitions in plain language so every metric on this site is auditable.
A bot instance with a deployed configuration that has placed at least one live order in the last 24h.
Closed trades with positive realized PnL divided by total closed trades. Open positions are excluded.
Backtests include the exchange fee schedule active at simulation time. Live metrics use actual filled fees.
Peak-to-trough decline of equity over the measurement window, expressed as a percentage of peak equity.
Annualized excess return divided by annualized return volatility. Risk-free rate assumed at 0%.
Live = real capital on exchange. Paper = real prices, simulated fills. Demo = exchange testnet environment.
Encrypted key storage, exchange-side permission control, 2FA, full activity logs and one-click revocation.
Per-tenant KMS envelope encryption for API keys.
We never request withdrawal permissions.
Account, sensitive ops and key changes require 2FA.
Disable a key from A3 or from the exchange directly.
The risk layer sits above every strategy and can pause, downsize or block execution before an order ever reaches an exchange.
Per-position and per-strategy stop levels with hard exit at threshold breach.
Maximum notional and concurrent positions per bot, per pair and per account.
Block new entries when realized or implied volatility crosses configured ceilings.
Order-book depth and spread thresholds prevent placement in thin markets.
Auto-pause on equity drawdown, fill anomalies or repeated rejected orders.
Triggers route to a review queue for unusual signals before live execution.
A3 Ticker Pro is the technology and automation interface. The full A3 Lab platform handles registration, onboarding, KYC, product terms, customer support and access to available A3 products. Explore the engineering here, then continue to the main platform to activate products.
OKX spot & perpetuals connector with unified order schema.
Volatility filter now uses 1m EWMA in addition to 5m realized vol.
Order-book replay mode with maker/taker fee tier resolution.
Regime classifier retrained on 18 months of cross-asset data.
API key vault rotated to per-tenant KMS envelope encryption.
No. No automated strategy can guarantee profit. Markets change, models decay, and historical performance never implies future results.
Risk filters can pause new entries, tighten stops, or fully suspend a strategy until volatility returns within configured bounds.
Yes. Trading involves the risk of partial or total capital loss. Configure position size, stop-loss and exposure limits accordingly.
Keys are encrypted server-side with envelope encryption, isolated per user, and never logged. Withdrawal permissions are never required.
Backtest replays historical data. Demo runs on the exchange testnet. Live executes real orders with real capital on the production exchange.
A3 Ticker Pro showcases automation technology. Onboarding, KYC, product terms and access to A3 Lab products live on the main A3 Lab platform.
All legal and policy documents in one place. Last reviewed quarterly.
A3 Ticker Pro is a technology interface within the A3 Lab ecosystem. Trading digital assets carries risk of loss. Information on this site is provided for product transparency and does not constitute financial advice.