You can find the spreadsheets for this video and some additional materials here: drive.google.com/drive/folders/1sP40IW0p0w5IETCgo464uhDFfdyR6rh7 Please consider supporting NEDL on Patreon: www.patreon.com/NEDLeducation
Loving your incredible work @NEDL. I was wondering, which statistical test(s) could you use to justify that a (static) arbitrage strategy truly is so? Say you have a timeseries of returns from trading an equal-weighted portfolio, what could you do with that timeseries to justify that this truly is an arb opportunity? Regress it with a timeseries of the market and look at statistical significance for example? Many thanks in advance 🙏
Hi, and glad you are enjoying the channel! Ultimately, it depends on what you mean by arbitrage. In the narrow sense, this video might help: ua-cam.com/video/xjikItI6zcU/v-deo.html. If you mean arbitrage broadly as value addition or the exploitation of market efficiency, then a significant alpha (intercept in a regression of portfolio returns onto market returns) can be evidence enough, yes. Hope it helps!
Dear NEDL, thanks a lot. How can I get one p-value for several proportions, let say compare proportions for infection five sample (patients) with five infected bacteria? . I mean test the null hypothesis about differences between these proportion for five samples?. May I use Analysis of variance instead?
Hi, and thanks for the great question! No, the test should work in this circumstances as well - 214 and especially 60,089 is large enough of a sample for the z-test approximation to work.
Hi, and thanks for the question! Here, the proportions are referring to binary variables (0 or 1). If your data is indeed of this form (user of solar technology or non-user), than the test is applicable. If your data shows the fraction of energy gained from solar power, you should rather use the simple two-sample t-test: ua-cam.com/video/9C6oz_mADSE/v-deo.html
Hello! Great Videos, i will go through them all. Very sofisticated and detailed set ups. Can you do a Series on how to capture Eliot Wave Patterns and Backtesting them in Python? I think this is even more sophisticated, because it needs several evaluation steps to check if the counting is correctly done, where to start the waves and also, when and how to apply Fibonacci Extensions and Retracements to even calculate the next Top or Low based on the Waves before. I would love to do that and support that.
Hi Benjamin, and glad you are enjoying the channel! Thanks for the excellent suggestion, it is definitely very challenging to model Elliott waves properly, there is definitely more room to model Fibonacci retracements in separation from Elliott waves, but I will see what I can do :)
@@NEDLeducation That would be wonderfull. I thought, maybe it is even a similar approach i terms of set up and design of such a programm structure, because counting "Waves" could maybe be realised with differenciations of percentages or the derivates of the chart and its trends. Otherwise i dont really have a good idea right now, how to identify a "bottom" and a "top" within an ongoing chart(structure). Also it would need the fractal part, to always check the current counting against the "bigger" picture", where probably the variables codepent on each other in a way, where the output of one wave counting is the input for another wave counting. Maybe your experience in code design would create an more easy or intuitive solution here ;) or to put it in other words: people mostly are looking for the no brainer solutions and as you say often: indikators mostly give an advantage when the market is inefficient. If the simple solutions would widely outperform the market, the market would not be a market. In other words: Still someone is taking the profits when the indikator loses. If simple solutions would work, everybody would use them and they would not work. And sometimes, it appears to me, that everybody uses the same stuff and patterns appear, were everybody says: the market is unpredictable. I dont believe that. I think the pattern is just implemented ino a higher order pattern that only appears, when the statistical dept rises. Thanks for all your videos anyhow. Greets from Germany
Hi Faiza, thanks for the suggestion! I remember you have been asking this for quite some time now so I will record a video on skewed GED in the near future.
Hi Sir, I'm quite interested with the program which NEDL provided💪 In fact, I am a forex trader and would like to know whether the program provided by NEDL will help me?🙏
@@rip_zoroXd695 Hi, and thanks for the question. If you mean the Python tutorials these are intended for research and strategy simulation. You could potentially adapt them to foreign exchange markets, but do your own research to figure out whether they work well in your case! Hope this helps!
You can find the spreadsheets for this video and some additional materials here: drive.google.com/drive/folders/1sP40IW0p0w5IETCgo464uhDFfdyR6rh7
Please consider supporting NEDL on Patreon: www.patreon.com/NEDLeducation
Thank you very much sir.
the p value formula helped thank you sir
Loving your incredible work @NEDL. I was wondering, which statistical test(s) could you use to justify that a (static) arbitrage strategy truly is so? Say you have a timeseries of returns from trading an equal-weighted portfolio, what could you do with that timeseries to justify that this truly is an arb opportunity? Regress it with a timeseries of the market and look at statistical significance for example? Many thanks in advance 🙏
Hi, and glad you are enjoying the channel! Ultimately, it depends on what you mean by arbitrage. In the narrow sense, this video might help: ua-cam.com/video/xjikItI6zcU/v-deo.html. If you mean arbitrage broadly as value addition or the exploitation of market efficiency, then a significant alpha (intercept in a regression of portfolio returns onto market returns) can be evidence enough, yes. Hope it helps!
@@NEDLeducation Thank you sir!
Dear NEDL, thanks a lot. How can I get one p-value for several proportions, let say compare proportions for infection five sample (patients) with five infected bacteria? . I mean test the null hypothesis about differences between these proportion for five samples?. May I use Analysis of variance instead?
Does this change if my two groups have wildly different total n? One group total is 60,089 and the other is 214. Thank you
Hi, and thanks for the great question! No, the test should work in this circumstances as well - 214 and especially 60,089 is large enough of a sample for the z-test approximation to work.
hello sir, can this test be used for 6 different household(proportions) types for use of solar/nonsolar technology?
Hi, and thanks for the question! Here, the proportions are referring to binary variables (0 or 1). If your data is indeed of this form (user of solar technology or non-user), than the test is applicable. If your data shows the fraction of energy gained from solar power, you should rather use the simple two-sample t-test: ua-cam.com/video/9C6oz_mADSE/v-deo.html
Hello!
Great Videos, i will go through them all. Very sofisticated and detailed set ups.
Can you do a Series on how to capture Eliot Wave Patterns and Backtesting them in Python? I think this is even more sophisticated, because it needs several evaluation steps to check if the counting is correctly done, where to start the waves and also, when and how to apply Fibonacci Extensions and Retracements to even calculate the next Top or Low based on the Waves before.
I would love to do that and support that.
Hi Benjamin, and glad you are enjoying the channel! Thanks for the excellent suggestion, it is definitely very challenging to model Elliott waves properly, there is definitely more room to model Fibonacci retracements in separation from Elliott waves, but I will see what I can do :)
@@NEDLeducation That would be wonderfull.
I thought, maybe it is even a similar approach i terms of set up and design of such a programm structure, because counting "Waves" could maybe be realised with differenciations of percentages or the derivates of the chart and its trends.
Otherwise i dont really have a good idea right now, how to identify a "bottom" and a "top" within an ongoing chart(structure).
Also it would need the fractal part, to always check the current counting against the "bigger" picture", where probably the variables codepent on each other in a way, where the output of one wave counting is the input for another wave counting.
Maybe your experience in code design would create an more easy or intuitive solution here ;)
or to put it in other words: people mostly are looking for the no brainer solutions and as you say often: indikators mostly give an advantage when the market is inefficient. If the simple solutions would widely outperform the market, the market would not be a market. In other words: Still someone is taking the profits when the indikator loses. If simple solutions would work, everybody would use them and they would not work. And sometimes, it appears to me, that everybody uses the same stuff and patterns appear, were everybody says: the market is unpredictable. I dont believe that. I think the pattern is just implemented ino a higher order pattern that only appears, when the statistical dept rises.
Thanks for all your videos anyhow.
Greets from Germany
Plz sir explain how to calculate shape parameter and excess kurtosis for skewed ged distribution.
Hi Faiza, thanks for the suggestion! I remember you have been asking this for quite some time now so I will record a video on skewed GED in the near future.
@@NEDLeducation thankyou sir. Plz do it as soon as possible.
@@faizaahmed6488 Hi Faiza, the video on skewed GED is live, check it out if you are interested: ua-cam.com/video/ft4Sfj0BwUc/v-deo.html
Hi sir, i cant find the excel template for the Two proportion Z-test explained in the google drive link as above mentioned😢
Hi, it is the second sheet of the "Proportion_tests" file. Hope this helps!
Noted with thanks
Hi Sir, I'm quite interested with the program which NEDL provided💪
In fact, I am a forex trader and would like to know whether the program provided by NEDL will help me?🙏
@@rip_zoroXd695 Hi, and thanks for the question. If you mean the Python tutorials these are intended for research and strategy simulation. You could potentially adapt them to foreign exchange markets, but do your own research to figure out whether they work well in your case! Hope this helps!