Trend Following with Mean Reversion
| Strategy Type | Intraday VWAP-Based Trading |
| Market Outlook | Trend Following with Mean Reversion |
| Risk Level | Moderate |
| Time Horizon | Intraday to Short-term Positional |
| Best Conditions | Trending days with institutional participation |
| Avoid When | Low volume choppy sessions, major result days without clear direction |
| Exchange | ASX |
| Trading Hours | 10:00 AM - 4:00 PM AEST/AEDT |
| Pre Open Session | 7:00 AM - 10:00 AM AEST/AEDT; opening single-price auction from 10:00 AM |
| Margin Types | Intraday leverage via broker day-trading buying power; LEPOs and written ETOs carry intraday margin • Full payment for shares (T+2 CHESS settlement); margin posted for held LEPOs and short options |
| Contract Cycle | Monthly expiry on the Thursday before the last Friday of the contract month |
| Sector | Diversified Financials - S&P/ASX 200 Financials constituent |
| Weightage | Significant weightage in the S&P/ASX 200 Financials index; among the largest companies in the index |
| Correlation | High correlation with the S&P/ASX 200 Financials and the broader financial sector |
| Result Seasons | Half-yearly results: full-year in early May and half-year in November (fiscal year ends 31 March); operational briefing in February |
| Rba Policy Impact | Sensitive to RBA monetary policy, and to global market and credit conditions given its international and markets-facing businesses |
VWAP incorporates volume, making it the actual average transaction price. Institutions benchmark against VWAP, not moving averages. When an institution needs to buy a large block of shares, they measure execution quality against VWAP - buying below VWAP is considered good execution. This institutional reference creates self-fulfilling support/resistance at VWAP levels that moving averages don't have.
Standard VWAP resets daily, making it primarily an intraday tool. However, anchored VWAP (calculated from a specific date like earnings or a significant high/low) can be used for positional trading. For Macquarie swing trades, anchor VWAP to the last results announcement or significant price levels for multi-day reference points.
Quality over quantity is key. For beginners, limit to 2-3 high-quality setups per day where all conditions align: clear VWAP direction, volume confirmation, and proper risk-reward. Taking too many trades increases transaction costs and often leads to overtrading in low-probability setups.
The first hour (10:00-11:00 AM) offers the strongest directional moves as institutions establish positions. The period from 11:00 AM to 2:00 PM is best for mean reversion trades around VWAP. Avoid the last 30 minutes if you're a beginner, as institutional order completion can create unpredictable moves.
LEPOs are often preferred because they offer leverage (requiring less capital), have no obligation to take delivery, and provide near-delta-1 exposure. However, if you're just starting, practice with smaller quantities in the share market first to understand VWAP dynamics before moving to LEPOs.
Watch price behavior at VWAP touches. During accumulation, price dips to VWAP are quickly bought with higher lows forming - the dips get shallower each time. During distribution, rallies to VWAP are sold with lower highs forming. Also note volume patterns: accumulation shows increasing volume on up moves from VWAP, distribution shows increasing volume on rejections from VWAP.
Use options when: (1) You want defined maximum risk - premium paid is max loss, (2) The setup has higher reward potential justifying premium cost, (3) You're trading around events where gaps are possible, (4) You want to use limited capital for multiple setups. Stick to LEPOs when: moves are expected to be gradual, you need precise near-delta-1 exposure, or options are illiquid/expensive.
Look for confluence between session VWAP and Volume Profile POC (Point of Control). When these align within A$0.25-0.40, it's a high-probability support/resistance zone. Enter trades when price pulls back to this confluence zone. Also use Volume Profile's Low Volume Nodes - when price breaks through VWAP and enters an LVN, it often accelerates quickly, providing momentum trade opportunities.
Trend following: trade in direction of VWAP slope, enter on pullbacks to VWAP, expect continuation. Best in the first 2 hours and when sector/market is trending. Mean reversion: trade against extended moves at VWAP bands, expect return to VWAP. Best in mid-day consolidation periods and when deviation exceeds 1.5% without significant news. Use volume to differentiate - high volume at bands suggests continuation, declining volume suggests reversion.
When Macquarie diverges from the S&P/ASX 200 Financials index, it signals stock-specific factors. If Macquarie is weak while the index is strong, investigate for negative news (downgrades, management issues, soft markets income). Trade cautiously or avoid. If Macquarie shows relative strength (above VWAP while the sector struggles), it may indicate positive stock-specific catalysts - can be a good long candidate but use smaller size due to lack of sector support.
Look for consistent order patterns: orders appearing at predictable intervals proportional to historical volume distribution, iceberg orders (large quantity showing small, repeatedly refreshing), and systematic execution at or near VWAP throughout the day. Also watch the tape for large trades consistently executing at VWAP - this is institutional benchmarking. Abnormal volume without price impact often indicates VWAP algo execution spreading large orders.
Collect historical data on VWAP deviation (Z-scores) and subsequent returns. Calculate win rate and average return for entries at various Z-score thresholds (±1.5, ±2.0, ±2.5). Factor in time of day and volatility regime. Build a model that adjusts entry threshold based on A-VIX level and morning vs afternoon session. Backtest with transaction costs and slippage. A robust model typically shows 55-65% win rate at Z-score ±2.0 with 1.5:1 reward-to-risk.
Calculate the correlation and cointegration between Macquarie and the pair stock. Use Kelly Criterion modified for pairs: position size = (edge × correlation) / variance of spread. Beta-adjust for delta neutrality. The spread (Z-score difference) should drive sizing - larger position at wider spreads (higher expected return). Cap maximum position at 20% of capital per pair to limit single-trade risk. Use rolling correlation to adjust sizing dynamically.
On expiry, options market makers aggressively delta-hedge around strike prices, creating pin risk. If Macquarie is near a major strike, VWAP becomes less reliable as pin dynamics dominate. Strategy adjustments: avoid mean reversion trades near strikes, use LEPOs instead of options, expect increased volatility in the final 2 hours, be aware of the max pain level which may act as a magnet regardless of VWAP. If trading, use wider stops and smaller positions.
Combine VWAP levels with order flow metrics: (1) Delta (buy volume minus sell volume) at VWAP - positive delta at VWAP suggests accumulation, (2) Large trade imbalance - track if big trades (>1,000 shares) are predominantly hitting the bid or lifting the offer near VWAP, (3) Order book depth - thin depth above VWAP with thick depth below suggests path of least resistance is up, (4) CVD (Cumulative Volume Delta) trend - if CVD is rising while price touches VWAP, institutions are accumulating despite flat price.
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