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Episode 13 asks whether time-in the market beats timing the market. We test a simple trading simulator that times entry by buying when Market Cycle Timing is high and times exit by selling when MCT normalises. The simulator includes all entry and exit costs.
Trading is then compared with holding long-term. Across SA3 regions and multiple eras, trading beat holding long-term, with a success rate between 80 and 95 percent depending on the period.
It works because growth tends to arrive in bursts and long holds converge toward the average.
The takeaway is to use data to time entry and exit rather than wait. Only default to long-term holds when you cannot forecast growth.
Episode Highlights
Got questions or feedback?
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DISCLAIMER
• The information provided is not tailored to your individual circumstances, and we do not consider your specific financial situation.
By suburbdataEpisode 13 asks whether time-in the market beats timing the market. We test a simple trading simulator that times entry by buying when Market Cycle Timing is high and times exit by selling when MCT normalises. The simulator includes all entry and exit costs.
Trading is then compared with holding long-term. Across SA3 regions and multiple eras, trading beat holding long-term, with a success rate between 80 and 95 percent depending on the period.
It works because growth tends to arrive in bursts and long holds converge toward the average.
The takeaway is to use data to time entry and exit rather than wait. Only default to long-term holds when you cannot forecast growth.
Episode Highlights
Got questions or feedback?
Viewer Favourites
👉 How to Analyse a Property Market
👉 DSR Success Rate
👉 Demand to Supply Ratio Tutorials
DISCLAIMER
• The information provided is not tailored to your individual circumstances, and we do not consider your specific financial situation.

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