Fractal Manhattan
Fractal Manhattan
  • Видео 13
  • Просмотров 111 975
The Trillion Dollar FLAW in Financial Market Trading
Ever heard of the Black-Scholes-Merton equation? It's the bedrock of options pricing in financial markets, but what if I told you it's hiding a monstrous flaw? 🤯 Dive deep into the world of financial mathematics with me in this eye-opening video where I dissect the "trillion-dollar equation" and reveal its Achilles' heel.
Veritasium, known for its captivating science content, recently tackled this very equation, but they missed a crucial piece of the puzzle. Join me as I break down the misconceptions and uncover the hidden dangers. I'll introduce you to the reality of volatility clustering and fat-tailed distributions, concepts that could reshape your understanding of market behavior, and ...
Просмотров: 12 262

Видео

Why Random Walks and Efficient Market Hypothesis are Wrong.
Просмотров 6 тыс.8 месяцев назад
Learn about Random Walks and Volatility, and why the Efficient Market Hypothesis is hated by technical analysts who actively trade stocks, because it implies that you can't beat the market. In this video, we are going to show why random walks fail to capture the true nature of stock and other financial markets, due to what is known as volatility clustering (clustered volatility). Some economist...
How Chaos Theory Beats Randomness - and Which Best Explains Market Unpredictability?
Просмотров 4,9 тыс.8 месяцев назад
According to Chaos Theory, most systems in the real world should be unpredictable. But if Chaos Theory does make things unpredictable, does that mean that systems which contain chaotic dynamics behave as though they are random? And if not, when is randomness not a good approximation of chaos? In part two of this series, we will dig further into chaos theory, and explore implications for modelli...
Determinism - Can Newtonian Physics Predict the Future? - Chaos, Fractals and Financial Markets
Просмотров 1,8 тыс.8 месяцев назад
Whether you're interested in financial markets, quantitative analysis, or unraveling the mysteries of the universe, in this episode we will ignite your curiosity and broaden your understanding. 🤔 Ever wondered why some phenomena, like the weather, economies, and financial markets, are so challenging to predict? And why do financial markets dramatically shift their behavior, sometimes with very ...
Why I Couldn't Believe This Investment Advice from 2002 - and How Chaos Theory Debunks It
Просмотров 1,9 тыс.Год назад
Financial advice rarely considers the chaotic nature of markets. But as Benoit Mandelbrot points out with his idea of fractals, the financial industry often woefully miscalculates the level of risk and expected return, particularly in relatively short timeframes, like a decade. Everyone should make the effort to learn how to critically evaluate investment advice. Fractal and Chaos Theories can ...
The Simple Difference between Chaos and Fractals and What This Means for Financial Markets
Просмотров 6 тыс.Год назад
Did you know that there are critical differences between Chaos and Fractals, and that this difference is the key to properly characterizing financial markets? Even other RUclips videos made by people with expertise on this subject usually mix these things up in their descriptions, and don't explain the differences between fractals and chaos, and what they capture about financial markets. Inspir...
Fractals and Support and Resistance
Просмотров 11 тыс.Год назад
Support and resistance lines for using with Financial Markets are tricky to set. One of the reasons for this is that financial market data often obeys fractal properties, and the markets themselves behave in a chaotic fashion. Fractals are self-similar (i.e. look similar at multiple scales), and so don't have any "special" scales associated with them. But support and resistance lines inherently...
How to Tell if the Stock Market is Overvalued
Просмотров 1,2 тыс.Год назад
One of the nice things about stock markets vs cryptocurrency is that it is possible to estimate when stocks are becoming overvalued and overpriced. Will the stock market crash or undergo a correction? Here we look at four methods for understanding whether or not the stock market is overvalued. In this series of videos, we use the concepts from the mathematical theory of fractals and other ideas...
The Truth About How Long Passive Stock Market Investments Take to Pay Off
Просмотров 1 тыс.Год назад
Fractals are powerful tools for understanding financial market strategy. Here we look at the pattern of volatility and bear markets seen in the US stock market over its history, and find out the truth about stock market volatility and what that means for stock market gains over time. In this series of videos, we use the concepts from the mathematical theory of fractals to help understand patter...
Fractals and the Hidden Hierarchy in Stock prices, Forex, and other Markets - Fractals and Finance
Просмотров 28 тыс.Год назад
Fractals are powerful tools for understanding forex, stock market, and other financial market strategy. Some technical analysis experts say they use "fractals" in their analysis of financial markets like forex, but this type of "fractal" has virtually nothing to do with what fractals really are (by which I mean the mathematical theory from which the term "fractal" comes from). And the real frac...
How Chaos Theory affects the Stock Market, and explains unpredictability
Просмотров 29 тыс.Год назад
Do you know how chaos theory is relevant to financial and stock market analysis? Some technical analysis experts refer to using chaos in their analysis of stock and financial markets. But these commentators usually are not using actual chaos theory to provide meaning to financial market behavior. Chaos theory is a mathematical theory which explains how some kinds of systems behave in unpredicta...
Is Investing in Cryptocurrency a Good Idea? If You Need to Ask, Then Probably No
Просмотров 5372 года назад
How do we avoid acting out of stupidity with investments like bitcoin and cryptocurrency? Is investing in cryptocurrency a good idea? And who is most at risk? Robert Greene has some great ideas as cryptocurrencies fall, and volatility continues. Do you really know what you are doing? I found it interesting that the few people I know who have actually invested in bitcoin (or other cryptocurrenci...
Why Fractals and Finance?
Просмотров 9 тыс.6 лет назад
Why is it that we often hear about fractals in relation to financial markets? Watch and learn about the connection.

Комментарии

  • @silverwingSB
    @silverwingSB День назад

  • @jsacodes916
    @jsacodes916 4 дня назад

    What are you thinking about the Markets currently?

  • @amenostalgique
    @amenostalgique 8 дней назад

    Great content, subscribed.

  • @dee23gaming
    @dee23gaming 9 дней назад

    You still cannot predict real markets. Both real and fake charts are functionally the exact same. The fundamentals that drive real price, and an RNG algorithm produce the same thing. Both are unpredictable.

  • @michaello4811
    @michaello4811 10 дней назад

    You simply don't understand the deeper meaning and real usage of 'random walk & Efficient Market Hypothesi '.

  • @dee23gaming
    @dee23gaming 12 дней назад

    I don't believe in support and resistance. You can plot a line on a random spot, and you'll see it being respected at some point repeatedly. This happens on real charts, and randomly generated charts. I still say that the market is an over-engineered RNG algorithm. A chart driven by random news and billions of participants, or a pseudo random number generator, both produce basically the same results. Our trading strategies are way too primitive to tell the two apart. I don't care if real charts are slightly different, because our trading strategies won't know the difference.

  • @erattaimuthu8386
    @erattaimuthu8386 12 дней назад

    How to trade using fractal

  • @MrEo89
    @MrEo89 13 дней назад

    iirc they mention the weaknesses of the model, ie being based on CAPM & normal distiributions.. volatility that isn’t dynamically changing… etc etc.

  • @chocolatemodelsofficial5859
    @chocolatemodelsofficial5859 15 дней назад

    Anyone who came up with the equations to describe the fractal patterns we see on stock charts, is working for funds like Medallion. These papers won't ever be a part of the public domain. LOL.

  • @chocolatemodelsofficial5859
    @chocolatemodelsofficial5859 15 дней назад

    Fundamentals apply only as they relate to higher time frame participants aka large institutional traders like Black Rock, Fidelity, Vanguard. etc. deciding to enter and exit large positions at key price levels. The average day trader need not concern him or herself with that knowledge since the charts on higher time frames (weekly, monthly, quarterly, yearly) clearly show where institutional traders apply buying and selling pressure. Markets are in essence controlled by higher time frame participants on time scales that are oblivious to day traders. Day traders see and try to trade effects caused by participants outside of their narrow 1 minute, 2 minute, 5 minute and 15 minute time frames. Which generates a whole lot of confusion and bad trades. Zooming out of course helps a lot but awareness of the situation while zoomed out helps more.

  • @chocolatemodelsofficial5859
    @chocolatemodelsofficial5859 15 дней назад

    EMH and random walks is clearly nonsense and yet it must be promoted, since to say otherwise, would allow traders to enter into the correct belief systems so they could start on the correct path to decode what they see on the charts. And those that do uncover the truth such as the Medallion fund creators keep it to themselves and reap all the benefits.

    • @paulnyagini
      @paulnyagini 12 дней назад

      😂 then you should be able to be a billionaire by now.

    • @dee23gaming
      @dee23gaming 9 дней назад

      If it takes the smartest people in the world to beat the markets, then you have no chance, bud.

    • @chocolatemodelsofficial5859
      @chocolatemodelsofficial5859 8 дней назад

      Has anyone here ever considered the stock market is just a simulation of a stock market. Where prices are essentially controlled. That the closing price of each bar is not really based on auction theory or supply and demand dynamics. That the closing price of the day is set by the auctioneers each day for all stocks. That price action is just an illusion?? Or is everybody here just drinking the Kool Aid?

  • @chocolatemodelsofficial5859
    @chocolatemodelsofficial5859 15 дней назад

    I wonder why I never heard LTCM co-founded by one of the creators of Black Scholes? That epic fail would tarnish the whole foundation of how options and other derivatives are priced. So it's just not discussed, hidden in plain site. They say never confuse the map aka model with reality!

  • @chocolatemodelsofficial5859
    @chocolatemodelsofficial5859 15 дней назад

    The hierarchy does exist (work) on larger time frames such as the yearly. The only issue is the stock market is not old enough to easily see it. You are in effect zoomed in if you look at any chart based on a yearly interval. For example 100 years of data would be 100 bars, or like looking at 100 minutes on a 1 minute chart and then drawing the conclusion that the hierarchy no longer works. Now if we had 2584 years of yearly data it would obvious the hierarchy is in full effect.

  • @navketan1965
    @navketan1965 23 дня назад

    I find that for intraday forex trend trading most important relevant (Guide)trend direction is ON 15 minute, 1h and 4h charts only-- For intraday trading weekly & monthly trends do not matter much(too far removed from intraday field of activity) & can be ignored. For simplicity sake if 15 minute ,1h & 4h trends are in the same direction, you have a trade set up in the same direction (one could fine tune entry 0n 5 minute charts). In general if daily candle be in the same direction for any trade it is better but not A must.--Sir, what do you have to say?

  • @navketan1965
    @navketan1965 23 дня назад

    I find that for intraday forex trend trading most important relevant (Guide)trend direction is ON 15 minute, 1h and 4h charts only-- For intraday trading weekly & monthly trends do not matter much(too far removed from intraday field of activity) & can be ignored. For simplicity sake if 15 minute ,1h & 4h trends are in the same direction, you have a trade set up in the same direction (one could fine tune entry 0n 5 minute charts). In general if daily candle be in the same direction for any trade it is better but not A must.--Sir, what do you have to say?

  • @navketan1965
    @navketan1965 23 дня назад

    I find that for intraday forex trend trading most important relevant (Guide)trend direction is ON 15 minute, 1h and 4h charts only-- For intraday trading weekly & monthly trends do not matter much(too far removed from intraday field of activity) & can be ignored. For simplicity sake if 15 minute ,1h & 4h trends are in the same direction, you have a trade set up in the same direction (one could fine tune entry 0n 5 minute charts). In general if daily candle be in the same direction for any trade it is better but not A must.--Sir, what do you have to say?

  • @dylanhunt3855
    @dylanhunt3855 Месяц назад

    “How something unpredictable explains something unpredictable”.

  • @FractalEarth
    @FractalEarth Месяц назад

    Well said.

  • @vaguthun
    @vaguthun Месяц назад

    Randomness is in nature. Would love to see a your thoughts when Cheetah hunting gazelle and its random nature..

  • @jpablodonizetti
    @jpablodonizetti Месяц назад

    Tienes un error en el uso e interpretación de los fractales. Por lo que veo en el video esperas que exista una correlación matemática perfecta entre fractales a diferentes escalas de tiempo, esperas ver la misma figura fractal a diferentes temporalidades de tiempo, sin embargo eso NO es posible por que el mercado financiero es un sistema NO lineal dinámico, y partiendo de esto NO espere que exista correlación exacta. Sin embargo si puedes determinar tendencia de mediano y largo plazo. y en periodos de tiempo mas cortos si puedes usar fractales para tratar de predecir un comportamiento futuro del precio. debes analizar un periodo de tiempo corto identificar el periodo más reciente y compararlo VS un periodo anterior, si existe "similitud fractal" entonces podrías proyectar ese fractal a futuro (en corto plazo). Yo lo veo como una mira de un avión de combate moderno, si metes en la mira un objetivo, y puedes determinar distancia y dirección, entonces puedes programar un cohete que lo alcance el un lugar futuro. exactamente lo mismo usas para disenar tu pronostico fractal..

    • @fractalmanhattan
      @fractalmanhattan Месяц назад

      Thanks! Actually I think I agree with you - I'm not suggesting you can use fractals for prediction, but rather to understand the nature of financial market fluctuations. Sorry if I gave a wrong impression!

  • @181hillsdrive
    @181hillsdrive Месяц назад

    Listen. I have been researching this for months. I'm building something called catalyst theory, derived from rene thoms catastrophe theory. A single shot equation to identify catalysts for large moves or swings in a nonlinear system like the stock market. Can we talk? On email or telegram?

    • @fractalmanhattan
      @fractalmanhattan Месяц назад

      Thanks for this - sorry I've been really busy and setting up an email to go with this channel is something I'll look to do a little later this year. That idea sounds really interesting, and I think there is a big appetite for how you do what you describe. I'm not sure I could add a lot, but I'll definitely take a look at rene thoms theory, and anything else you want to add to this thread.

  • @fibtrader618
    @fibtrader618 Месяц назад

    Absolutely love this channel, hope you release more videos in the future 🙏🏻

    • @fractalmanhattan
      @fractalmanhattan Месяц назад

      Thank you!! I hope to get back to this soon - I've just been super busy.

  • @zacharris6299
    @zacharris6299 2 месяца назад

    Turbulence does fall out of the navier stokes equations, you just need arbitrarily fine resolution in your simulation.

    • @fractalmanhattan
      @fractalmanhattan Месяц назад

      I agree that you can simulate turbulence that way, but my understanding is that you won't see the same self-similarity that you get in real turbulence (partly because of the finite resolution). But maybe fine-resolution simulations on high-powered computers are starting to show some signs of self-similarity?

    • @zacharris6299
      @zacharris6299 Месяц назад

      @@fractalmanhattan en.m.wikipedia.org/wiki/Direct_numerical_simulation

  • @frankhuang7552
    @frankhuang7552 2 месяца назад

    这个视频好啊,回答了我心中的疑问。那应该用什么样的模型替代呢。很想和你交流一下。

  • @ZxZ239
    @ZxZ239 2 месяца назад

    Good video, I observe that you can take advantage of knowing how higher fractal trend is moving, then look for pulback on the lower fractal trend for entry to get good fills, then put your faith on the power of higher fractal trends to make money. But this can be tricky becuase if lower fractal is moving down and higher is moving up, it does feel like buying a falling knife at times. I guess for a even better entry, you dig down into even lower fractal time scale, but there is a limited and a point where too mch is too much, finding the good balance between high and low fractal is a challenge, but of course, even higher fractal scale still have a even higher one, and even that have a higher one etc... in the end, I think the highest fractal is a nation's underlying strength and power, that also means all empire decline and nothing lasts forever, but you can still make money playing the fractl that is presented to you... i lost my train of thogught here

  • @KilgoreTroutAsf
    @KilgoreTroutAsf 2 месяца назад

    This video relies on several false assumptions. The efficient market hypothesis has nothing to do with volatility, but rather it states all the available information is already priced in the stock. That is to say, if, for instance, the future growth of a company depends on the price of money, the current price of the stock will reflect the current interest rate and the best guess of near future rate changes.

    • @mickkorrawit2386
      @mickkorrawit2386 Месяц назад

      So you're telling that EMH can be satistified without random walks proven. But this video proved random walk hypothesis is wrong. Am I correct?

    • @KilgoreTroutAsf
      @KilgoreTroutAsf 19 дней назад

      ​@@mickkorrawit2386It's hard to tell because the thesis of the video is very muddled. Either way, the EMH and random walks are two concepts largely independent of each other. Either can be true with the other being false.

    • @KilgoreTroutAsf
      @KilgoreTroutAsf 19 дней назад

      ​@@mickkorrawit2386for what I can tell, he seems to think changes in volatility mean you can't have a random walk, or the markets aren't efficient, neither of which is true. Peaks in volatility just mean the markets move more the days there are news to make them move.. And random walks don't require all steps to be of equal size. You can build a random walk out of any sequence of random variables, as long as their expectation is zero, as per the central limit theorem.

    • @KilgoreTroutAsf
      @KilgoreTroutAsf 19 дней назад

      ​@@mickkorrawit2386that's not to say markets are actually efficient, just that his argument is bad.

    • @mickkorrawit2386
      @mickkorrawit2386 18 дней назад

      @@KilgoreTroutAsf Crystal clear

  • @TRADEforDOLLAR
    @TRADEforDOLLAR 2 месяца назад

    "Fractal Manhattan"; in reality there is a fundamental reason for fractals to repeat themselves; fractals in their very nature are the building blocks for creation of the fabric of market itself; its structural framework. fractals are always the same; create the same multidimensional constructs consisting of the same hierarchical structures in every financial market, in every time frame, in every single financial chart. what actually throws you off is that you erroneously see markets' structures as the fractals themselves; you connect support and resistance levels on a fractal and not structural level; thus exposing yourself to a misconception and confusion as to the real importance of every single support and resistance and their inherent relationship to each other; every support and resistance level on any chart in any timeframe is related to each other on a structural level and cannot be disregarded; the latter fallacy is what prompts your inability to see clearly defined trends on small time frames ( even 1 tick or 1second charts) once you utilize support/resistance on structural as opposed to fractal levels, they become extremely easy to use; bring clarity and stability to what most people consider chaotic nature of the markets; nothing could be further from the truth.

  • @paulnyagini
    @paulnyagini 2 месяца назад

    😂😂😂😂 when something is unpredictable is basically random.

  • @mathijs1987j
    @mathijs1987j 3 месяца назад

    Do you have a nice introductory source for these fractal cascade processes? I couldn't find anything with a quick google search. I was also wondering whether such processes are even martingales and how widely accepted they are as the proper model for price movements.

    • @fractalmanhattan
      @fractalmanhattan 3 месяца назад

      Thanks very much for your question! I wasn't aware of any really "nice" textbooks on this when I was doing my PhD (some time ago though), and a lot of it just came from the scientific literature. That's actually why I started making these videos, because I can't believe this stuff still isn't widely known - I suspect big data and AI have replaced chaos theory as the "sexy" topics so don't get talked about that much any more. What's really important to understand is that these (multi)fractal properties are a characteristic of many complex, high-dimensional chaotic systems, like weather, and so the sources on this might be talking about any of these systems. There's a book: Lovejoy, S., and D. Schertzer (2013), The Weather and Climate: Emergent Laws and Multifractal Cascades which is an example of this. I've (tried to) read an older version of it and found it pretty dense. If you're interested specifically in fractals and financial markets, then read Mandelbrot's books and papers, and anyone who references these - those Mandelbrot's work can be a bit cryptic at times! There was a journal of Econophysics at one point (not sure if it's still going). Hope that helps!

    • @mathijs1987j
      @mathijs1987j 3 месяца назад

      @@fractalmanhattan Thanks.

  • @Feds_the_Freds
    @Feds_the_Freds 3 месяца назад

    Problem is that clustered volatility can't help you predict future price changes. Also, pleople who believe in random walks and EMH know that the market isn't 100% random, otherwise something like the medallion fund wouldn't exist. Also the smaller the traded stock is, the less efficient the market becomes and therefore also less random. But also: The problem is, the less random a stock is, the more traders want to profit, making it more traded and therefore less random in return. The only constant in the stock market is that a well diversified portfolio goes up over time. The more ou try to profit from the volatility, the more it becomes a zero sum game, as in a trade, someone loses and the other wins.

    • @fractalmanhattan
      @fractalmanhattan 3 месяца назад

      Thanks, and definitely agree with your comments, and I like that they highlight that reality is more complex than the theory. Understanding volatility and the chaotic nature of markets I believe does help better understand markets and what to expect from them. I'm not necessarily trying to infer one thing or another - viewers can take out of this what you have - that essentially markets are still unpredictable, even if there is temporal clustering of volatility. If you wait long enough, it's difficult to disagree that some kind of diversified enough portfolio will go up, but I think there is a lot of room to explore around the requirements for that - all stock indices might eventually go up, but what about the stocks that make them up? Should you never buy individual stocks? How diversified do you need to be, and what's the impact on returns of that? Do you need to be internationally diversified (i.e. how true is this for any stock market)? How long do you have to wait (does this depend on nation - look at Japan)? How might this evolve through different periods in history (are we just in an exceptional time which is skewing returns higher)? How long to recover if a major slump comes? What do you do if you are approaching retirement? What's the effect on markets of participants just buying to match indices rather than on value? Lots of questions which I think are interesting to consider, and for which chaos theory provides some guide. Thanks again!

    • @engetaniirvin7974
      @engetaniirvin7974 10 дней назад

      @feds Markets are not efficient but effective markets are effective as over time needs and concerns of different participants(sellers and buyers) are met,so we can say the market is not random but if one can understand the conditions of the market they can place themselves at a better risk exposure as risk can't be avoided so markets are not random or efficient but effective as price change is due the concerns and needs of participants being met and not met,this is where supply and demand model comes in and supply and demand doesn't promise predictability but forces one to be in the" Right Now" as the right Now allows you to decipher the ongoing conditions or actions at that price-time relationship Hence one can't use Price to predict price,what I mean by using price to predict price I mean the use of TA-technical analysis so TA AND FA ARE BAD TOOOLS TO GET TRADES

  • @GrunerCharlie
    @GrunerCharlie 3 месяца назад

    Correct me if I’m wrong because I’m confused, I thought the black scholes Merton equation factors in the underlying movement of the market based on past and current events through drift, isn’t the drift aspect of the equation stating that current and past trends can effect the pricing of contracts.

    • @fractalmanhattan
      @fractalmanhattan 3 месяца назад

      I think you're right that drift can be taken into account, if by that you mean underlying trend. What I am trying to highlight is the importance of extreme, unexpected events, which I think are different. You need fat-tailed probability distributions to describe these.

  • @PavelLesa
    @PavelLesa 3 месяца назад

    Hello. To understand why and how support and resistance levels actually work, you need to look at the dynamic order book. A level breakout occurs when a large limit order to sell or buy is executed, then its stoploss is executed. Then we observe the very level breakout. A level is considered good when there have been several approaches to it and attempts to execute it. Then in this place many people get into position from this large order, which pulls the price even more after breaking the level. I've explained it rather summarily. To understand what I wrote about, try googling "large orders on the chart" services for cryptocurrencies, for example. Sorry, but you are not defining the levels correctly. Best regards, Paul

  • @amurica1chuuknow736
    @amurica1chuuknow736 3 месяца назад

    Great channel i think this will be a staple in the financial world in the future.Ppl are catching on love the evolution.

    • @fractalmanhattan
      @fractalmanhattan 3 месяца назад

      Thank you - very kind! I should get back to making some more videos soon

  • @riasgremory123456
    @riasgremory123456 4 месяца назад

    Nice explanation been reading Benoit mandelbrot's fractal

  • @dee23gaming
    @dee23gaming 4 месяца назад

    Well, I look at a forex line chart, and a pseudorandomly generated line chart, and they both look the bloody same. It's random... chaotic... unpredictable. It's all the same thing. They all have one thing in common: You cannot predict the future. If it's random, it's unpredictable. If it's unpredictable, it's random. It's not rocket science.

  • @vishalnangare31
    @vishalnangare31 4 месяца назад

    Thank you sir for sharing 🙏.

  • @macrovigilance
    @macrovigilance 4 месяца назад

    good prez!

  • @michaelrandle3370
    @michaelrandle3370 4 месяца назад

    All is number.

  • @mmmar7317
    @mmmar7317 4 месяца назад

    Heston models deals with changing vol though!

    • @fractalmanhattan
      @fractalmanhattan 4 месяца назад

      Yes indeed there are approaches which have subsequently been developed that you can use to take into account changing volatility - topics for the future!

  • @suhaniverma6583
    @suhaniverma6583 4 месяца назад

    Amazing channel please please make more videos on maths of stocks or something related to that

    • @fractalmanhattan
      @fractalmanhattan 4 месяца назад

      Thanks for that!! I'm definitely planning to make more videos on this subject - just been really busy lately! Thanks again!!

  • @suhaniverma6583
    @suhaniverma6583 4 месяца назад

    Please make more videos on maths and trading

  • @suhaniverma6583
    @suhaniverma6583 4 месяца назад

    Please make more videos on maths and trading

  • @ariemulderij4341
    @ariemulderij4341 4 месяца назад

    and how does all this help us in trading the markets?

  • @mradjamesable
    @mradjamesable 5 месяцев назад

    3669❤

  • @kevinapetrei
    @kevinapetrei 5 месяцев назад

    Wow. Is BSM Modelling still mostly relied on by majority of people? So does that mean institutions and traders still havent learnt from past events like LTCM black swan events??

    • @fractalmanhattan
      @fractalmanhattan 4 месяца назад

      I've definitely come across people who are convinced that the BSM model is fine. But I think smarter traders know that there are problems with it and have fudge factors they use to deal with this, particularly in terms of how they cope with the possibility of more extreme market movements. I think this would make a good subject for future videos!! Thanks again!!

  • @ericano1271
    @ericano1271 5 месяцев назад

    what is a fractal market on a higher timeframe? if for example the market is in an uptrend direction ,does it mean that on a lower timeframe such as 1-minute, or or in micro time frame still the that is the same in an uptrend direction as an overall direction as a whole that the lower timeframe submitted to an uptrend direction because on a higher time timeframe is it is bullish trend. is it correct?

  • @musicbased1
    @musicbased1 5 месяцев назад

    Have you ever read trading with jchart by John Chen? It’s a method based on the Sierpinski triangle. Would be interested in your thoughts on that!

  • @raneena5079
    @raneena5079 5 месяцев назад

    Markets definitely have randomness, as the individual trades that compose them have randomness. However, that does not mean the markets are not chaotic. I think they are stochastic chaotic systems. They are definitely random because the trades have randomness. Many of them are based on exogenous events which for all intents and purposes may as well be random (like a CEO dying, a merger being announced, a product failing, etc.). Additionally, the exact time at which a trade is made (which effects stock prices) is somewhat random, especially with fundamentals. With chaos, even seemingly negligible random innovations (such as latency from geographical location) bring randomness.

  • @joshuaGmartin2023
    @joshuaGmartin2023 5 месяцев назад

    Gosh, these are good

  • @Zendicay
    @Zendicay 5 месяцев назад

    This is actually a very insightful video. Came across your channel when I watched your video on chaos theory a while ago and it's good to see you're still posting and somewhat active!

    • @fractalmanhattan
      @fractalmanhattan 5 месяцев назад

      Thanks - I really appreciate you taking the time to say so!! I'll try to get back to making some more videos soon.