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14 results for “market timing”
Concept8 mentions across episodes
market timing
Topic2 mentions across episodes
Market timing
...market too. Exactly. And the way that this applies to investing is just like you might not know the rules of baseball, but if you've watched enough baseball, you can kinda guess at what the probabilities of the next thing to happen are based on the s
28:49 / 30:18
from transcript28:49 – 30:18
exploding in complexity and dimensionality. And when I say that, here's what I mean. The data that they are mining, that they're looking for is this intraday tick data between every stock trading. So they're in this sort of trying to map the relation
1:20:14 / 1:21:21
from transcript1:20:14 – 1:21:21
...the market is technically very strong, the catalyst is not gonna change the momentum. So what that means in, you know, more specifically, you know? So when you look at the trend investors, you know, they have a range of signals, you know. Like so the
10:25 / 11:31
from transcript10:25 – 11:31
...poly market on a daily basis to keep tabs of what people are interested
20:59 / 22:02
from transcript20:59 – 22:02
...was, essentially handicapping that event. Well, we also have sports betting that has odds. There's things about the Fed and so forth. People are also making bets on Fed movement in other parts of the market. So what I kinda like about these isn't tha
21:45 / 22:44
from transcript21:45 – 22:44
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
...markets solve that, which is why I think for traders, it has the potential to become a really big market.
59:57 / 1:01:01
from transcript59:57 – 1:01:01
...like if the market is gonna stay below twenty and fifty days, at the end of the day, you may get enough selling from CTAs or derisking from CTAs that it may get you to another leg lower. Right? So so it's a basically you need to have, set up that you
11:15 / 12:16
from transcript11:15 – 12:16
...the marketplace. Then what we could do is we could say, well, how how what happens over time? How does a market that has that, how does that evolve over time? You know, where there's these exogenous or random shocks into the system. You know, the, yo
43:34 / 44:41
from transcript43:34 – 44:41
...market and, like, people get paid $1 if it does and zero if not, then effectively the price at which is trading, like, let's say that people are buying at 50¢, is actually the forecast, the probability, the chance that this event happens.
4:25 / 5:36
from transcript4:25 – 5:36
...markets. Right? Because you want more accurate predictions, and so if people have insider info, that's one way of potentially getting there.
37:28 / 38:34
from transcript37:28 – 38:34
...market data from the nineteen seventies and eighties is still useful for forecasting mispricing. It is in the sense that these machine learning tools become more robust the more data on more different market cycles in context of investing that they'r
45:42 / 46:46
from transcript45:42 – 46:46
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