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We compare the performances of Golden Butterfly and Price Action Lab Diversified Portfolio strategic allocations

There are some significant developments in the “overnight effect” year-to-date. A persistence overnight effect is one of the simplest edges and it is realized by buying a security at the close of a day and selling it at the next open. ...

Volatility trading strategies often realize impressive returns. However, some of those strategies cannot deal effectively with volatility spikes and exhibit large drawdown levels. In this article I look at a simple strategy for trading volatility that is available in the ...

Since the inception of TLT, a little less than 50% of the buy and hold gains have occurred on Fridays and that increases to nearly 100% after 2011. This calendar effect is a significant anomaly and shows that markets are ...

Details are included below. S&P 500  As of the close of yesterday, the S&P 500 is 5.25% below its all-time high and must gain 2.02% to get to its 200-day moving average. Price action is getting more random as prices get close to ...

Since the start of this year, the strategy of buying SPY at the close of Wednesday and selling at the close of Thursday has returned nearly 10%. At the same time, buying TLT at the close of Thursday and selling ...

Hypothesis tests based on one-sample t-tests and on bootstraps can be misleading, especially when returns are generated by an over-fitted trading strategy designed via machine learning and multiple comparisons.

Statistical hypothesis testing results for the purpose of assessing the significance of trading and investment strategies must be carefully scrutinized because they are in most cases naive or can even be used to mislead the public.

Report on the state of Price Action Lab diversified portfolio, SPY adaptive trend-following, stock market randomness and Hurst exponent. Asset allocation The Price Action Lab diversified portfolio in SPY, TLT, GLD and DBC with weights of 40%, 40%, 10% and 10%, respectively, ...

In this article we analyze the performance of two popular mean-reversion trading systems in momersion regimes, i.e., when there is no clear indication whether a market is driven by momentum or mean-reversion. One conclusion is that one of the systems ...