Using a Timer during scalp plays

@vanman72001,

Just want to say I appreciate your posts. Time is something I have not thought of in day trading even though in my option trades, time is the most important element since option contracts do expire.

For me it is an interesting concept worth exploring.

Thank you.
 
You are welcome, and I appreciate all the feedback. I've completed about 50 scalp trades so far using the 3-minute timer system, tweaking the system a little with the suggestions everyone is making. I'm already seeing some pleasantly surprising results, and some of them have to do with something other than the stock in play during the timer. I just need to run a couple hundred more trades through to see if the data actually supports what I think I am seeing, then I will give you guys a detailed report of the results. It has opened up a whole lot of ideas that are interesting, and so far at least one negative aspect.
And if I like the results after 200 trades or so, I will continue the timer for another 6 months and really get some more accurate data after another 1000 trades or more.
 
Problem is time’s relative within the market.

Haven’t you guys read The (mis)behaviour of markets by Mandelbrot ?

What does Mandelbrot says about time in The (mis)behavior of market ?

In The (Mis)Behavior of Markets, Benoît Mandelbrot discusses time primarily in the context of financial markets, emphasizing how traditional models often fail to capture the complexity and irregularity of real-world market movements. He critiques conventional financial models, particularly those based on normal distributions and efficient market theories, for assuming a fixed, linear progression of time, which ignores the erratic, fractal-like nature of market behavior.

Mandelbrot introduces the concept of "trading time" or "fractal time", where time doesn't progress evenly as in traditional models (e.g., calendar time), but rather stretches and compresses in response to market activity. In periods of high volatility, events unfold more quickly—trading time accelerates. In contrast, during calm periods, trading time slows down. This reflects the non-linear and irregular nature of time in markets. According to him, financial markets exhibit characteristics similar to natural phenomena, which operate on fractal patterns.

This notion of fractal time implies that market movements are not smooth and continuous but instead can experience large jumps or extreme events, with certain periods seeing intense activity and others seeing almost none. It challenges the assumption of market predictability over uniform time intervals and highlights the importance of understanding the market's complex, often chaotic, behavior over time.

In mathematics, the 'random walk' is a graph where the direction of the next point in relation to the current one is decided at random. If the steps between points are small enough, a fractal is generated, known as the Brownian process.
 
In mathematics, the 'random walk' is a graph where the direction of the next point in relation to the current one is decided at random. If the steps between points are small enough, a fractal is generated, known as the Brownian process.
The Wiener process is the one used in quant finance, based on Brownian motion. This is an example of how its "self-similar" just like a fractal.

Wiener_process_animated.gif


description.png

-Wikipedia
 
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