Quant Trading Rules

Quant trading strategies, insights, and ideas. Backtested, forward-tested, and live-traded.

The hottest Substack posts of Quant Trading Rules

And their main takeaways
79 implied HN points 02 Jun 24
  1. Peter Thiel emphasizes the importance of future cash flows in valuing technology companies, projecting significant value from profits generated well into the future.
  2. Interest rates, linked to Treasury bond yields, affect stock valuations by altering discount rates for future cash flows, particularly impacting tech stocks with high growth expectations.
  3. Implementing trading strategies based on spreads and RSI signals between tech stocks (like QQQ) and Treasury bonds (like TLT) can show variations in returns, with opportunities for leveraging and rule adjustments to potentially improve performance.
79 implied HN points 26 May 24
  1. The Turnaround Tuesdays trading strategy is based on stocks rebounding on Tuesdays after a down Monday, with simple entry and exit rules tested over 31 years.
  2. Expanding the strategy to include Tuesdays and Wednesdays improved results, increasing annual returns and win rates while maintaining high simplicity.
  3. Utilizing leverage by applying the strategy to a leveraged ETF like TQQQ can significantly boost annual returns, although it may lead to more frequent and deeper drawdowns.
79 implied HN points 20 May 24
  1. A mean reversion strategy was tested with rules involving computing rolling means and using the IBS indicator, focusing on bouncing back from market drops.
  2. Implementing a market regime filter significantly reduced drawdowns and exposure time, improving the Sharpe ratio and reducing drawdown durations.
  3. By incorporating a long & short strategy, trading QQQ in bull markets and PSQ in bear markets, a good balance of Sharpe ratio, annual returns, and maximum drawdown was achieved.
2 HN points 08 Jun 24
  1. Marsten Parker's IPO trading strategy focuses on frequently buying and selling IPOs shortly after they go public, with clear rules for entry and exit.
  2. Buying IPOs at all-time highs showed a significant edge over buying non-IPO stocks at all-time highs, with IPOs performing better after 20 days.
  3. Tweaking profit targets and stop-loss orders in IPO trading strategies can significantly impact annual returns, demonstrating the importance of optimizing these parameters for better performance.