Institutional Flow Analyzer

There is no daily foreign/domestic flow feed in Australia. Official splits come from the ABS national financial accounts and APRA super statistics on a quarterly basis (with a lag). For daily analysis you rely on proxies such as ETF flows, SPI 200 futures OI and ASIC short data.

Flow data is one useful input but shouldn't be the sole basis for trading. The official data is quarterly and lagged, and daily proxies are imperfect. Use it alongside technical analysis, fundamentals and other indicators.

Super funds receive mandated Superannuation Guarantee contributions that need deployment, and they have long time horizons. They may also see foreign selling as a buying opportunity. Their mandate differs from foreign investors'.

On a quarterly basis, large net foreign acquisition or disposal stands out against history. On a daily proxy basis, AlgoKing's default treats roughly AUD 500m as significant and AUD 1,000m as extreme. Significance also depends on market context and sustained patterns.

Short-term proxy moves have short-term impact. Sustained patterns (5+ sessions same direction) have medium-term impact. Quarterly cumulative flows show longer-term trends. The impact depends on magnitude and persistence.

SPI 200 futures and XJO options include hedging and speculation, not just directional views. Look at OI changes with price (long/short buildup). Cash flow (quarterly) is purer investment flow. Combine both for the complete picture, remembering ASX OI is aggregate, not split by investor type.

Track: the RBA-Fed rate gap and US yields, AUD/USD, the VIX for risk sentiment, China growth and commodity prices (iron ore, coal, LNG), and developed-market ETF flows (EWA, MSCI World). These influence foreign behaviour in Australia.

Track quarter-over-quarter changes in sector ownership (ABS) and substantial-holder notices. Overweight sectors where allocation is increasing. This helps identify rotation - for example between financials and materials - before it's obvious in prices.

Extreme selling may signal opportunity when: it reaches historical extremes (2+ std dev), super/SMSFs are absorbing, technical support is holding, and there's no fundamental reason for continued selling. Still wait for some stabilisation.

Correlation is significant but varies by market regime. In trending markets, flows often follow prices (momentum). At extremes, flows may lead reversals. Use correlation as one input, not a guaranteed predictor - and note Australian official flow data is quarterly.

Construct a normalised flow signal (z-score over a rolling window), apply smoothing (MA), define thresholds for bullish/bearish, backtest using a walk-forward methodology, and combine with other factors. Monitor signal decay and regime dependency. Australian high-frequency signals lean on proxies because official data is quarterly.

Combine multiple proxies: ETF creation/redemption, SPI 200 futures OI, ASIC short-position changes, AUD/USD moves and overnight SPI direction. Validate against quarterly ABS/APRA data to calibrate. Accept estimation error.

Use Granger causality tests or VAR models. Test flow->return direction. Account for regime dependency. Be aware the relationship can be bidirectional and may change over time. Walk-forward validation is essential, and the quarterly cadence of official data constrains testing.

Calculate Australia's beta to developed-market flows, track relative allocation, and measure Australia-specific alpha. Use global flows and China/commodity signals as leading indicators. Adjust Australia exposure based on global sentiment and relative attractiveness.

Limitations: official data is quarterly and lagged, the relationship varies by regime, flows can persist longer than expected, other factors matter, institutional flows aren't always 'smart money', and daily estimation via proxies has error. Use as one component of a multi-factor approach.