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16 results for “position sizing”
of the time, and I decide to play once or play twice or play five times, there's a chance I could lose all my money. Or if I have tiny little bet sizes, then I'm just not going to make that much money. But if I walk up to said game with a little bit
1:02:07 / 1:03:36
from transcript1:02:07 – 1:03:36
The most likely situation is it's within 5% of that. If you ask me three years from now, I have almost no intuition about that. And a state machine is the same way. If you flash forward a whole bunch of states, you sort of lose predictability as you
1:01:28 / 1:02:32
from transcript1:01:28 – 1:02:32
...position, it doesn't blow you up? That's exactly it. I don't know because of my dad's poor risk management whether I'd have a lot more money because I'd be less risk averse, or I've gotten to where I am because of the risk management. Like, the wolf'
45:42 / 46:48
from transcript45:42 – 46:48
of dollars, and that was enough to enable you to start an initially small automated trading firm, and you often didn't need any external capital to do it. You just had to buy the necessary technical kit and hire technically savvy people and so on. Bu
44:15 / 45:15
from transcript44:15 – 45:15
Right? That's like the amount maybe you could make on each trade. You multiply by the daily trading volume across those exchanges, and then you say, I don't know. Maybe it'll be a percent of volume. I don't know. Sort of making that up. Again, this i
8:55 / 10:03
from transcript8:55 – 10:03
...position, it doesn't blow you up? That's exactly it. I don't know because of my dad's poor risk management whether I'd have a lot more money because I'd be less risk averse, or I've gotten to where I am because of the risk management.
45:00 / 46:09
from transcript45:00 – 46:09
...the position, but how quickly do you trade to those positions. In several of the things you've mentioned along the way, there is human judgment that's coming into play, whether that is the risk constraints in the model or news coming out about a comp
34:30 / 35:31
from transcript34:30 – 35:31
...or ultimate position sizing. Companies that are less liquid will tend to have smaller overall positions in them. But it also impact the speed of trading to get to those positions. The biggest, most liquid names in the world trade in some of our portf
33:41 / 34:49
from transcript33:41 – 34:49
Hello, and welcome to another episode of the Odd Lots podcast. I'm Tracy Alloway. And I'm Joe Wiesenthal. Joe, as part of my preparation for this episode, I have spent the morning on TikTok and Twitter slash x Instagram watching videos. Did you find
2:17 / 3:16
from transcript2:17 – 3:16
Literally, since our Goldman Sachs days, this is more than twenty five years ago, we've generally used half a back test out of sample as a bogey. And life has worked out fairly close to that. Now we've built more factors, improved our back test, so i
14:57 / 16:03
from transcript14:57 – 16:03
This doesn't tend to be the case for the competitors and this has also morphed the broker into being really one that is liked and used first and foremost by experienced traders. The first days, the business was really only used by individuals and wha
7:23 / 8:37
from transcript7:23 – 8:37
If you look at the real risk in their portfolio, it's probably 90% driven by equities, and it comes in all sorts of different forms, private equity, public equity, credit. You end up with portfolios that there's just one risk factor, which is equitie
18:02 / 19:07
from transcript18:02 – 19:07
Low liquidity stocks are always gonna have certain types of risks that don't exist in high liquidity stocks. But when you think about these factors, these do not strike you as iron laws of how markets work, that you will at some point get compensated
33:40 / 34:48
from transcript33:40 – 34:48
And we let people trade on that, and we started them off with $50. And we said, we'll let you double your money. You're giving you $50. You don't have to trade at all. But if you do trade, you know, we'll give you however much you have left over so y
2:58 / 4:11
from transcript2:58 – 4:11
And they were short above 3%, and they were typically out at two seventy five or two eighty and declaring victory. And now we're whatever we are, 70 basis points. And I've watched people blow up over the years with the JGB widowmaker where you just c
29:15 / 30:21
from transcript29:15 – 30:21
So you're taking, obviously, both sides of a trade most of the times and you're just creating a market for participants. So up to these days, obviously, risk management is one of the most important point that differentiates Interactive compared to ot
10:25 / 11:33
from transcript10:25 – 11:33
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