WiseTech Momentum Strategy

Both work well, but WTC typically has a higher beta (more volatile) than XRO, meaning larger percentage moves in either direction - and it has had some very large, news-driven swings. That volatility creates clearer momentum opportunities. XRO is larger and comparatively steadier with a broad recurring subscription base. Many traders watch both and trade whichever shows stronger momentum at any given time.

Extremely important. Half-yearly results and guidance changes are the biggest momentum catalysts for WTC. Results days can see large moves, and post-results momentum often continues for 5-15 days. However, pre-results periods are risky due to elevated IV and binary outcomes. The strategy is to avoid new positions 5-7 days before and enter on the confirmed direction after results.

LEPOs and ETOs are popular with momentum traders because: (1) leverage/margin efficiency reduces capital outlay, (2) ETOs offer defined risk (premium only when buying), (3) it can be easier to take short exposure, and (4) defined-risk structures suit event-heavy periods. Buying shares outright makes sense for very small positions, long-term holds, or to avoid option time decay and roll considerations.

WTC has a high correlation with the Nasdaq and US tech because it is a global software business and competes/partners within the global tech ecosystem. A strong Nasdaq typically supports WTC, while US tech selloffs drag it down. Always check overnight US market performance before trading WTC, especially for gap risk on morning positions.

Two optimal windows: (1) the first hour (10:00-11:00 AM AEST) captures opening momentum and gap moves, best for breakout entries; (2) the last hour (3:00-4:00 PM AEST) sees institutional activity into the closing auction and can confirm or reverse morning trends. Midday typically has lower volume and choppier price action - less ideal for momentum entries.

Treat the S&P/ASX All Technology Index (XTX) as the primary filter. When the XTX is trending up (above its 50 EMA), WTC longs have a tailwind. When the XTX is down, avoid WTC longs even if the stock looks strong. Also check WTC's relative strength vs the XTX - if WTC is outperforming the index, it's a sector leader and a better momentum candidate than laggards.

Don't trade the announcement itself - too binary and IV-crushed options lose value. Instead: (1) wait for the next trading day after results; (2) if the stock is above the Day 1 high with volume, momentum is confirmed - enter long; (3) if below the Day 1 low, short momentum is confirmed; (4) stop below the Day 1 low (for longs); (5) target 5-10 day momentum continuation. This captures the post-results drift while avoiding announcement whipsaws.

A high S&P/ASX 200 VIX (A-VIX) indicates increased market uncertainty. Adjustments: (1) reduce position sizes by 30-50%; (2) use wider stops (2x ATR instead of 1.5x) to avoid whipsaws; (3) consider options over LEPOs/shares for defined risk; (4) shorten holding periods - take profits faster; (5) require stronger confirmation before entry (multiple timeframe alignment, volume confirmation).

Use LEPOs (or shares) when: the trend is clear and sustained, the holding period is uncertain, IV is elevated (options overpriced), and you want full linear delta exposure. Use ETOs when: you want defined maximum risk, expect potential gaps (events nearby), the holding period is known (can match expiry), or you're implementing spreads for cost efficiency. In high uncertainty, options' defined risk often outweighs their time-decay cost.

Watch for: (1) declining rate of change - gains getting smaller each day; (2) volume divergence - higher volume on down days than up days; (3) RSI divergence - price makes a new high but RSI doesn't; (4) EMA compression - 9 EMA approaching 21 EMA; (5) sector divergence - WTC lagging the XTX after leading. When multiple warning signs appear, tighten stops and prepare to exit.

Use the 12-1 month return as the core factor (captures medium-term momentum while avoiding recent reversal). Add earnings momentum (3-month EPS revision), revenue momentum (sequential growth), and guidance momentum. Weight approximately 40/25/20/15. Normalise each to Z-scores before combining. Apply a regime filter based on tech-sector (XTX) volatility. Recalibrate factor weights quarterly using rolling-window analysis.

Use exponential decay based on the momentum half-life (~50 days for WTC). Formula: Current Position = Initial Position x e^(-t/half-life). At day 0, full position; at day 35 (~half-life), position should be ~50% of initial; at day 70, ~25%. Alternatively, use a discrete step-down: reduce 25% every 15 days. This systematic decay acknowledges that momentum signal strength diminishes over time.

For pure momentum, optimise cost per delta point - find strikes with the lowest premium/delta ratio. For trending momentum, slightly OTM options have a favourable gamma profile (delta increases as momentum plays out). Keep theta under 1% of premium daily for swing trades. Before results, neutralise vega using spreads (IV-crush risk). Create an aggregate Greeks dashboard and manage portfolio-level Greeks, not just individual positions.

For entries: use limit orders A$0.02-0.05 below market in rising markets (catch micro-pullbacks). Set a time limit of 5 minutes, then convert to market if not filled. For larger positions: TWAP over 15-30 minutes to minimise impact. For exits: bracket orders with OCO logic for stop and target. Use market orders for stop-outs (speed matters) and limit orders for targets (capture a better price). Backtests suggest WTC slippage should be modest per trade in liquid hours.

ML works best for regime classification and signal filtering, not direct return prediction. Use random forest or gradient boosting to classify the market regime (trending vs mean-reverting). Features: multi-period returns, volume ratios, the A-VIX level, sector correlation, global tech performance. Target: forward momentum-quintile classification. Train on 3+ years, validate on 1 year, test on 6 months (time-series split, not random). Use ML predictions to filter momentum signals - only trade when the model predicts a favourable regime.