Intraday Trend Catcher

You can't know for certain in advance, but indicators increase probability: a significant gap (>0.3%, usually set by the US/overnight session) with early continuation, a tight Opening Range breaking with volume, price staying on one side of VWAP, shallow pullbacks. If these signs appear in the first hour, trend day probability is higher. Accept that some days you'll be wrong - the strategy is profitable because winners are larger than losers, not because you're always right.

Don't chase! Wait for the first pullback to the Opening Range level or VWAP. Most trend days offer multiple entry opportunities through pullbacks. Chasing extended moves creates poor risk:reward (entry far from stop, target partially achieved). If the trend is strong, there will be a pullback entry. If no pullback comes, accept you missed this one - there will be other opportunities.

No. The strategy targets trend days, which are only 20-30% of sessions. On clear range days, either stay flat or switch to range trading strategies. Forcing trend trades on non-trend days guarantees losses. Capital preservation on range days ensures you have resources for trend days. Many professional intraday traders only take 10-15 serious positions per month.

Several reasons: 1) The ASX close at 4:00 PM runs through a randomised Closing Single Price Auction (around 4:10-4:11 PM) with erratic price action from position squaring, 2) Liquidity can thin into the close, causing slippage, 3) Exiting before the close removes any overnight/night-session gap risk, 4) It provides a clear cutoff for risk management. The difference between 3:50 PM and the close is rarely significant compared to the risks. Discipline in exits is as important as entries.

It depends heavily on which contract you trade. The full SPI 200 is large at A$25/point - a 50-point stop risks A$1,250 per contract - so realistically you want A$15,000-50,000 for proper sizing and to weather losing streaks. The Mini SPI 200 (A$5/point) is the practical retail entry: A$3,000-10,000 lets you trade a contract or two with 1-2% risk. Trading the full SPI 200 with less than A$10,000 makes proper risk management difficult - stops become too tight or positions too small to be meaningful. Start with the Mini SPI to learn the strategy at lower risk.

VWAP serves multiple purposes: 1) Trend filter - only long when price is above VWAP, short when below, 2) Entry point - buy pullbacks to VWAP in uptrends, sell rallies to VWAP in downtrends, 3) Trend change signal - a sustained VWAP cross may indicate reversal, 4) Stop placement - you can use VWAP as a dynamic stop level. On trend days, price rarely crosses VWAP significantly. Multiple VWAP crosses = range day, not trend day.

Generally not recommended for trend trades because they're highly correlated - and the SPI 200 already embeds heavy Financials and Resources weight, so adding sector futures in the same direction simply doubles your exposure to the same move. If both show signals, pick the one with the cleaner setup or better relative strength (and better liquidity - usually the SPI). Exception: if you are deliberately building a sector tilt (e.g., miners clearly leading, so prefer the Resources future) or if signals are in opposite directions (rare). Track performance by instrument to know where your edge is.

Major news (RBA policy, GDP/CPI data, key US releases overnight, China data) can disrupt trends or create new ones. Strategy: 1) If holding a position before scheduled news, tighten stops significantly or exit before the announcement, 2) Don't enter new positions 15-30 minutes before scheduled major news, 3) After news, let the market settle for 15-30 minutes before establishing new positions, 4) News can create trend days - look for post-news momentum as a potential setup. Unscheduled news requires immediate reassessment.

Shallow pullback: retraces 25-38% of the move, lasts 15-45 minutes, volume declines during the pullback, price holds above key support (VWAP, OR level), makes a higher low (uptrend). Trend failure: retraces >50% of the move, breaks below key support, volume increases on selling, makes a lower low (uptrend), VWAP crossed significantly. Shallow pullbacks are entry opportunities; trend failures are exit signals.

Advanced OR analysis: 1) Compare OR size to the 20-day average - a tight OR (<70% of average) suggests expansion coming, 2) Note OR shape - a single-sided OR (most activity near the high or low) suggests direction, 3) Compare OR to the overnight range and gap - OR absorbing the gap = continuation; OR reversing the gap = potential fill, 4) Track volume distribution within the OR - heavy volume at one extreme suggests that level is significant, 5) Build OR statistics for specific instruments to know typical behaviour.

Components: 1) Gap factor - gap size as % of ATR (larger gaps = higher trend probability), 2) OR factor - OR size relative to average (tighter = higher expansion probability), 3) IB factor - Initial Balance (first hour) breakout with volume, 4) Volume factor - first 30-min volume vs average, 5) Global factor - alignment with the SPI 200 overnight session, US close and Asian markets. Weight each component based on historical predictive power. Backtest to find optimal thresholds. Score range 0-100; trade aggressively when score >70, cautiously when 40-70, avoid when <40.

Confirming patterns: 1) Cumulative delta trending in trade direction throughout the session, 2) Aggressive buying/selling (market orders hitting ask/bid) on breakouts, 3) Large institutional prints appearing in the trend direction, 4) Absorption at key levels - buying support despite selling pressure in uptrends, 5) Decreasing selling pressure on pullbacks. Warning patterns: delta flattening, large prints in the opposite direction, absorption failing, aggressive flow reversing. Order flow provides 5-10 minute lead time over price for exhaustion signals. Note that SPI 200 order-flow depth is good but thinner than the largest US index futures.

Optimization process: 1) Start with robust, simple rules (ORB + volume), 2) Backtest across 2+ years of data, 3) Walk-forward analysis - optimize on 70% of data, test on 30%, repeat, 4) Parameter sensitivity testing - ensure profitability across a parameter range, not just at the optimal point, 5) Regime testing - test separately on trending vs ranging market periods, high vs low volatility, 6) Include realistic slippage and costs, 7) Out-of-sample testing on the most recent 6 months. Avoid overfitting by keeping parameters few and robust. Re-optimize quarterly.

Regime change indicators: 1) Rolling win rate dropping below 40% over 30+ trades, 2) Average winning trade size shrinking (trend days producing smaller moves), 3) ORB breakout failure rate increasing above 60%, 4) A-VIX regime shift - a very low A-VIX (below ~10-11) often produces range days, while an A-VIX spike disrupts normal patterns, 5) Market structure change - increasing algo participation can affect ORB dynamics. Response: reduce position size initially, pause if degradation continues, backtest recent data for pattern changes, adapt or wait for a favourable regime to return.

Essential controls: 1) Daily loss limit - stop trading after losing 3% of capital in a single day, 2) Position correlation monitoring - don't stack correlated positions (the SPI, Mini SPI and sector futures all move together), 3) Maximum concurrent positions (2-3), 4) Weekly loss limit - if the week is down 5%, reduce size or pause, 5) Drawdown-based sizing - reduce position size during drawdowns, 6) Time-of-day exposure - avoid heavy exposure during low-liquidity periods (lunch lull, into the close), 7) System performance monitoring - track win rate, R:R, profit factor in real-time. Automate enforcement where possible - don't rely on discipline during drawdowns.