Martinghoul
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Coming to this thread late... Are we sure Karen isn't HowardCohodas?
Coming to this thread late... Are we sure Karen isn't HowardCohodas?
Ok. I understand you need to have things spelled out several times.
How do we measure how close the SPX price action is to a normal distribution? It's called SKEW. . . .
Trader - made $41 million profit in 3 years option trading - YouTube
Anyone have any thoughts on this woman? I smell a rat....
Its interesting reading this thread a year or so later after two further interviews with her.
She is being interviewed by her broker, the guy who sold Think or Swim for some $600m to Ameritrade, so I can't imagine she is lying and he is condoning it.
I had a poor options trading year last year, 2013, and she had an average year for options traders - 27%. BUT they represented $51m trading profit. How a retail investor copes with that level of trading I find amazing.
Her story is based on hearsay and interviews there're no audited track record , for all we know she could be trading on a demo . And even if she's really producing such results , that's normal , all options writing methods if traded professionally will produce some sort of income until ...
I don't think her story is hearsay, simply because it is her broker who is interviewing her and he knows the detail of her performance and wouldn't ruin his reputation by falsifying the content of the 3 interviews.
Mike, I agree. I wouldn't pay too much attention to the juvenile post from tar - I think if there's any 'hearsay' and 'demo trading' it's more likely to be from his direction than hers. As you say Tom is pretty well respected, and I was told he did due diligence before interviewing her. For info, Karen is NFA registered and I've seen copies of her SEC filings from Jan this year, which whilst in itself obviously isn't proof of returns, did show figures for the funds. I've yet to see tar's similar filing
The numbers are impressive, but clearly her returns are a function of her AUM, portfolio margin, and probably very good risk & money management. Frankly most retail traders wouldn't have any of these.
Actually I get it very well. Also I have no idea why you refer to one month's performance (she has traded far longer than that), or why you say you are "bursting my bubble" and why I should have a "verified track record for her" as I have no affiliation to her. I am purely pointing out that she has way more credibility than you will ever have. Simples.
I also disagree with your next statement, I think most professional traders do utilise metrics for risk-adjusted returns. If you're so obsessed with hers, why don't you contact her yourself? Anyway, we're way off topic here, so I'm done with wasting further time on this...
Not enough , you need an audited track record for her to verify her story , just because the broker interviewed her doesn't mean that much , she could be really producing for example 25% annually but what about her MM , max DD .. etc , so that's only half of the story , assuming its true ...
Thats why i gave a real example from Zulutrade :
Half story : He made 29000 pips in 4 years trading Forex .
Full story : He made 29000 pips in 4 years averaging down 30 times , with a max drawdown of 16000 pips .
Surely your point is covered since the Broker and Karen are not talking about pips but account size. OK, this might be gross or net, but either way, $600K to $200m account size in 6 years is an amazing growth.
- Randomness is based on Brownian motion which exhibits a normal distribution since the universality between Brownian motion and a normal distribution are closely linked.
- Randomness is based on Brownian motion which exhibits a normal distribution. The fact that there are numerous other distributions is not proof that randomness is uniquely Brownian
- If you chose to look at the test results of others in charting the SPX distribution on a daily basis (not annual), then you will see that it resembles closely a bell curve (with high tops at the center, and long tails). Does the high tops and long tails exclude the use of the probability model? Imo, and from my experience, NO. One other point: the longer the time-frame (daily vs weekly vs monthly vs annual) the less random is the distribution which diminishes the applicability of the probability model.
- So random does not mean normal distribution.
- The fact that there are other distributions should be enough to indicate to you that something random does not need to be normally distributed. Do you get this or not? Why would anyone refer to these distributions if everything random were normal? To believe this indicates a serious flaw in your understanding of randomness and probability.
- Randomness is not based on Brownian motion. Get this first. The study of probability and random behaviour existed hundreds of years before Brownian motion was mathematically modelled. So stop spouting nonsense.
- You stated a probability that was based on it being normally distributed. You now accept that it is not normally distributed, since you're mentioning skewness. That means it differs from normal distribution. It has skew. It also has fatter tails. As a consequence this means that the probability does not need to be 84%. Concentrate on this. You're using an assumption which doesn't hold.
- You then admitted that it might be close to normally distributed. I said good, you're getting there in terms of 'close' and asked what the accurate probability is. You haven't answered what this probability is. You seem to have just given up and decided that the incorrect assumption (normal dist.) will do for you as an approximate. Not the worst estimate in the world, but not accurate and not something you'd want to risk money on.
Case in point :
A forex system developer , turned 30k to 2.5 M in few years .
Full story : A forex system developer turned 30k to 2.5M by averaging down and hold and hope , aiming for high win rate 90% and his max DD at the time was around 80%.
Fast forward : System went to zero .
Surely your point is covered since the Broker and Karen are not talking about pips but account size. OK, this might be gross or net, but either way, $600K to $200m account size in 6 years is an amazing growth.