ALGOTRIX

Algorithms, AI and #algotrading

[ALGOTRIX @algotrix]

This chart shows how a particular trade was executed by AI model. What would be a TA interpretation? The reason for closing the trade is clear. Why did it open? #AI $BTC @willywoo @TechCharts @GertvanLagen

[ALGOTRIX @algotrix]

@quantbeckman You can get any Sharpe ratio in training. Just learn how to overfit better. Then you can also get any gap between train and test.

[ALGOTRIX @algotrix]

@awealthofcs @Jesse_Livermore You need to learn to estimate inflation better.

[Aakash Gupta @aakashgupta]

Balaji just told you the charging problem is solved and nobody’s doing the infrastructure math.

BYD has 500 of these Megawatt chargers deployed in China. They’re targeting 4,000 by end of year.

Tesla has 75,000 Supercharger connectors. At 250-350kW each.

Here’s the constraint nobody’s pricing: each BYD Megawatt charger requires a direct connection to the medium-voltage grid. That’s the kind of power that runs small factories. You can’t just upgrade an existing site. You’re building new electrical infrastructure from scratch, often requiring grid connection timelines measured in years, not months.

Tesla spent 13 years building infrastructure that can serve 75,000 cars simultaneously at 250kW. BYD’s tech requires roughly 4x the grid capacity per charger. The bottleneck was never the battery chemistry. The bottleneck is getting 1MW to the parking lot.

And here’s what the demo doesn’t show: the InsideEVs test started at 13% and hit 60% in 5 minutes. That’s not a full tank. The Han L has 700km total range on China’s lenient test cycle. Real-world EPA equivalent is closer to 550km. Five minutes gets you about half a charge.

The tech is real. BYD’s battery holds 600kW at 90% state of charge, which is genuinely impressive. But the “EV flippening” requires BYD to build more grid infrastructure in 3 years than Tesla built in 13. And they have to do it in countries where grid connection timelines are measured in quarters, not weeks.

China can mandate the grid upgrades. The rest of the world has to negotiate with utilities.

[Keller Cliffton @Keller]

Next gen infra

[ALGOTRIX @algotrix]

@MPelletierCIO How did they estimate gold purity? Or you could bring any yellow metal?

[ALGOTRIX @algotrix]

@DominiqueCAPaul How about SE companies? Isnt it against EU law to tax them when they leave to another EU member state?

[ALGOTRIX @algotrix]

@Ryanmariebach78 Dictator

[ALGOTRIX @algotrix]

@mariyaivasileva Childish

[ALGOTRIX @algotrix]

@SchmidhuberAI One could say the same about Germany and Schmidhuber. Sorry Jürgen :)

[ALGOTRIX @algotrix]

@SchmidhuberAI Why did not Japan become an AI superpower? If they had Fukushima?

[ALGOTRIX @algotrix]

@goldseek @Comm_Invest #AlgoTrading is the answer.

[ALGOTRIX @algotrix]

@bozavlado Congratulations!

[ALGOTRIX @algotrix]

@SciReports Can you imagine that you would copy a table from another paper, and failed to mention that in your paper? Conferences and journals should worry more about creative research results than about whether reviewer names got revealed. @iclr_conf

[ALGOTRIX @algotrix]

Random variation of existing results. The reviewers at @SciReports have failed. Interesting how the results for other architectures are so similar. @RealAAAI #AlgoTrading

[ALGOTRIX @algotrix]

What the @SciReports paper shows is that their "frequency-domain complex attention mechanism" did not improve anything.

[ALGOTRIX @algotrix]

@Tanmoy_Chak I am yet to find a #algotrading conference/journal paper that is reproducible. Mostly overoptimistic performance evaluation = scam. Some with git repository. If you ask the authors about public git, they never reply. This is research ethics right now.

[ALGOTRIX @algotrix]

@tydsh In real world, real failures happen. You can feel demoralized, but that is your choice.

[ALGOTRIX @algotrix]

@prajdabre Are conferences any better than arXiv?