Shhh don't engage a troll that's missing out on gains and picking a fight with everyone loving RKLB. Instead, buy more calls so when you have money, you can fuck his girlfriend for the price of half a RKLB stock.

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> DOE back in 2015 Okay well if I'm going to buy into this no one can tell Trump that Obama's DOE said that cause it will soon be illegal if he finds out.

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Hey I have a data science background. This is good and entertaining fluff, but if you know what you're looking at, there are important things missing and some things that look good but don't make sense. I give him 4.8/5 for making it look important. For example: He has two time series (S&P500 and the bonds) and he compares them to many possible offsets. This is called cross-correlation analysis. It's a real thing, but it's also notorious for overfitting the data and showing spurious relationships if you misuse it like OP dies here. When you test many different offsets, you increase the probability of finding a high correlation *somewhere*, purely out of random chance. This is kind of like flipping a coin and getting heads 10 times in a row; it's impressive if you only flipped the coin 10 times, but much less exciting if you flipped it 10 million times. You were bound to get a 10-head steak at some point. An overfit predictor is one that performs very well on the historical data used to find it, but poorly on new, unseen data. If you select the single best lag based purely on the highest R-value from your historical test (precisely what OP did here), you risk overfitting to random noise that exists in the sample, but isn't truly predictive. And that's almost surely been done here and the validation should have been on showing that the model isn't overfit. To validate a model like that you wouldn't back-test (what OP does). Some things you could do are split the data into in and out of sample (e.g. make the model based on only the first X days in the series, and then judge it based on its ability to predict the data after day X). You should/could take steps to remove seasonality or trends within the time series first (which we already damn well know the stock market is seasonal, so him using untransformed values is most definitely increasing his calculated correlation). It would also be good to do bootstrapping to check statistical significance, instead of just p value. But it is very entertaining. OP probably also has a data background, to be knowing what to do to specifically torture the data this way.

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It broke out of like a 14 year base so gonna be less sellers at these levels + shortages + dollar is losing value its got more room to run.

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As rich as someone who can spin hay out of gold

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Yes, you missed out. Trump is also gonna back down on china like he always does.

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Don't worry, RS3 and OSRS bond prices are intrinsically linked since gold swapping is allowed, the prices fluctuate based on inflation for either game. If someone can swap gold from RS3 to OSRS and get a cheaper bond that way, that will cause more swapping and the currencies will stabilize in relative value quickly, while more bonds get traded on OSRS. The same can happen vice versa. So you can just replace RS3 with OSRS in OPs post and it's still perfectly valid, assuming it's not all nonsense. Still better to just stay out though because it's all nonsense.

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RS3 does not have an api or give out access for GE data, even the reflected price on the ge is nearly never accurate(+/-10%). I appreciate the weaponized autism, but you brought a knife to a gunfight and I have over a year of playtime. This is either an excellent shitpost, or a waste of time based off fake data from an AI. 10/10 would read again

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only one way to find out

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Did you transition out of KRKNF and BULL?

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