Automated Trade Executor

Risk Management Systems Intermediate Australia Stocks Futures Options ASX 24 Futures Currency Futures
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Quick Reference

Purpose Automated system for executing trades with precision, speed, and risk controls while minimizing slippage and human error
Core Function Converts trading signals into actual market orders with intelligent order management, execution optimization, and comprehensive safety checks

Payoff Profile

Visual representation of execution quality metrics over time, comparing actual fills against theoretical prices

Australia Market Details

Transaction Costs Australia has no securities transaction tax (no STT); stamp duty on share transactions has been abolished • 10% GST applies on brokerage and certain fees • None - stamp duty on share transactions has been abolished in Australia • ASIC cost-recovery / industry-funding levy (charged at the participant level, not per-trade)
Market Microstructure Price-time priority on ASX Trade and Cboe Australia • Full order book depth available (Level 2 / market depth) • Real-time via API webhooks/streaming • T+2 for equities via CHESS (Clearing House Electronic Subregister System)

Frequently Asked Questions

What happens if my internet connection drops during automated execution?

AlgoKing's executor maintains WebSocket connections with automatic reconnection. If connection drops, pending orders remain at the exchange. Upon reconnection, the system reconciles positions and order status. Critical: existing orders continue to work at the exchange even if you're disconnected. Have a backup connection method (mobile data) and know how to access your broker's app to manage orders manually if needed.

Can I run automated execution while I'm asleep or at work?

Yes, that's one of the primary benefits of automation. Once configured properly with appropriate risk controls, the system executes without human supervision. However, ensure: 1) Daily loss limits are set to prevent disasters, 2) You have mobile notifications for important events, 3) Someone can access the kill switch in emergencies, 4) The underlying strategy is well-tested and robust.

How do I know if my execution is good or bad?

Key metrics to track: 1) Fill rate - should be >95% for liquid instruments, 2) Slippage - should be <10 basis points for liquid stocks, 3) Rejections - should be <2% of orders. AlgoKing provides an execution dashboard showing these metrics. Compare your actual returns with theoretical (backtest) returns - large differences indicate execution issues.

What is the difference between trading shares (cash equities) and CFDs in Australia?

Cash equities mean you buy and own the actual shares, settled T+2 and (if CHESS-sponsored) registered in your name with a Holder Identification Number (HIN) - suited to investing and longer holds. CFDs (offered by brokers like IG and CMC Markets) are leveraged derivatives where you do not own the underlying share - you trade on margin to profit from price moves, with overnight financing costs and amplified risk. Use cash equities for ownership and longer-term positions; CFDs are for short-term leveraged exposure and carry significantly higher risk.

Why was my order rejected?

Common rejection reasons: 1) Insufficient funds/margin - add funds or reduce order size, 2) Price outside the Anomalous Order Threshold (more than +/-10% from the reference price) - re-price the order, 3) Invalid quantity (e.g., below the minimum marketable parcel, or the wrong contract size for options/futures) - adjust quantity, 4) Market closed - orders entered outside trading hours queue for the pre-open session, 5) Instrument not tradeable or in a trading halt - verify the symbol and status. Check the rejection message for the specific reason code.

How should I handle execution for illiquid options strikes?

For illiquid options: 1) Never use market orders - slippage can be severe, 2) Start with limit orders at mid-price, widen gradually, 3) Consider whether the strike is necessary or if a more liquid strike achieves similar exposure, 4) Be patient - illiquid options may take minutes to fill, 5) Size appropriately - don't try to execute 50% of open interest, 6) Monitor bid-ask spread - if >5% of premium, reconsider the trade.

What's the best execution mode for momentum strategies?

Momentum strategies typically benefit from AGGRESSIVE or ADAPTIVE mode. Momentum signals have short shelf life - price continues moving in the signal direction. Waiting for limit fill while price moves away costs more than slippage on a market order. However, use limits for high-conviction entries where you're ahead of the move. ADAPTIVE mode works well - starts passive, becomes aggressive if price moves away.

How do I execute iron condors efficiently?

Iron condors have 4 legs which creates complexity. Approach: 1) Break into two credit spreads (call spread + put spread), 2) Execute each spread as a unit using ASX combination orders for ETOs if supported, 3) Or execute most liquid leg first, then remaining legs quickly, 4) Use limit orders with reasonable width, 5) Have legging risk mitigation - if one spread fills but other doesn't, hedge temporarily, 6) Target liquid monthly strikes, avoid far OTM low-liquidity options.

How do broker APIs handle order modifications?

Most Australian broker APIs (such as Interactive Brokers and IG) support order modification via a modify endpoint. You need the original order ID and can change price, quantity, or type. Considerations: 1) Modification requests count toward rate limits, 2) There's a brief moment where modified order may not be in book (gap risk), 3) Not all fields can be modified - consult API docs, 4) If modification fails, original order remains (unlike cancel which removes it). Always verify modification status via order status endpoint.

What causes high slippage at market open?

Market open (10:00-10:15 AM) has high slippage because: 1) Overnight news causes gap opens, 2) The opening auction may have set a price far from the previous close, 3) Liquidity is building - order books are thin, 4) Price discovery is happening - more volatility, 5) Many orders competing simultaneously. Best practice: Wait 10-15 minutes for liquidity to normalize unless your strategy specifically requires open execution.

How do I design a execution algorithm that minimizes information leakage?

Information leakage occurs when market participants detect your trading intentions. Minimize by: 1) Randomize order timing within intervals, 2) Vary order sizes (not always round numbers), 3) Don't place large visible orders - use iceberg, 4) Mix aggressive and passive execution unpredictably, 5) Avoid predictable patterns (e.g., always executing at VWAP), 6) Consider spreading across correlated instruments, 7) Monitor for patterns in your own fills - consistently getting the worst of bid-ask suggests detection.

What are the considerations for executing options delta-hedged strategies?

Delta-hedged strategies (e.g., long gamma scalping) require coordinated options and futures execution. Considerations: 1) Execute options first - they're less liquid and define your delta, 2) Calculate required futures hedge immediately after options fill, 3) Account for options delta change during execution (gamma), 4) Use fast execution for futures to lock in hedge, 5) Consider exchange-native combination products where available, 6) Monitor net delta in real-time, 7) Have tolerance bands - don't over-trade to maintain perfect delta.

How should I handle execution during options expiry days for ASX index options?

ASX XJO index options expire on the third Thursday of the month (equity ETOs typically the Thursday before the last business Friday), and expiry can be high-volatility: 1) Close positions before mid-afternoon, ahead of the 4:00 PM close, if possible, 2) Be aware of pin risk - strikes near the current price see unusual activity, 3) Delta and gamma become extreme for ATM options, 4) Spreads widen significantly in the last hour, 5) Use more aggressive limits - theta decay costs more than slippage, 6) Monitor OI concentration for likely pin levels, 7) Have emergency market-order capability ready, 8) Consider rolling to the next series early in the day if intending to maintain the position.

What metrics should I use to benchmark my custom execution algorithm?

Benchmark against: 1) VWAP - did you achieve better than VWAP?, 2) Implementation shortfall vs theoretical - total cost of your approach, 3) Arrival price - price at signal time vs average fill, 4) Market close price - for longer executions, 5) Your own historical performance - are you improving?, 6) By market condition - track performance in trending vs ranging vs volatile markets separately. Also track: fill rate, average time to completion, cancellation rate, modification rate. Statistical significance matters - don't draw conclusions from small samples.

How do I ensure regulatory compliance for my automated trading system?

For current Australian regulations: 1) Log everything - signals, orders, fills, modifications, cancellations, 2) Use unique order tags linking back to the algorithm, 3) Maintain records for generally 7 years, 4) Implement and test kill switch functionality, 5) Ensure your broker's Automated Order Processing (AOP) controls are in place, 6) Monitor for and respond to ASIC / market-operator surveillance queries, 7) Stay updated on the ASIC Market Integrity Rules and the CP 386 reforms regarding algorithmic/AI trading, 8) Maintain documentation of algorithm logic and risk controls, 9) Implement reconciliation processes with broker records. Consider engaging a compliance adviser as regulations evolve.

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