implementation

on metalabeling – i.e., finding the probability of profit of your own simple basic trading strategy, and not to use it to predict the market directly. Why?

For historical stock data, there is another quality that may be even more important than their frequencies: whether the data are free of survivorship bias. I will define survivorship bias in the following section. Here, we just need to know that historical stock data without survivorship bias are much more expensive than those that have such a bias

Chapter 3: Extensive changes on MATLAB code that remove a major bug, and new commentary and codes for Python and R. Description of some new quant trading platforms. One item of particular interest: I discuss a mathematically rigorous way to decide how much backtest data and how long a paper trading period is needed. Another mathematical technique w

Most ready-made strategies that you may find in these places actually do not withstand careful backtesting. Just like the academic studies, the strategies from traders' forums may have worked only for a little while, or they work for only a certain class of stocks, or they work only if you don't factor in transaction costs. However, the trick is th

Wheat farming historically had a more seasonal rhythm with periods of relative quiet. Wheat is typically sown in the fall or spring and then mainly just left to grow with the rain. Aside from episodic weeding or guarding the fields, there was less continuous labor until harvest time. Harvest itself was a crunch period requiring many hands with sick

rice paddies also require a lot of work—twice as much as wheat. And that work is almost year-round: preparing paddies, raising seedlings in nurseries, transplanting every single seedling by hand into flooded fields, managing water, pumping it, [3] weeding, [4] harvesting, and threshing—often followed by a second rice crop or a winter crop. These ta

He encourages questioning what you read and taking the other side, even if you (or anyone you are around) doesn’t believe it. This isn’t to be contrarian for the sake of it but instead to push yourself into a friction-filled point of view outside of the bubble you may be in.

leaves room for spontaneity and problem-solving by introducing strategic uncertainty , planning projects or acting on ideas without detailed itineraries: “Committing to things beyond your comfort zone is the only way to build adaptability and resilience.”

He incorporates physically demanding work into regular life to get out of the headspace and “above the shoulders” world of software and the internet, and engage other practical senses and skills (gardening, woodworking, repairs) that ground you in the present.