Brett Harrison ✓

@BrettHarrison · joined 12 May 2021

Founder & CEO @Architect_Fi | Derivatives exchange group for AI commodities and perpetual futures. Offering the American Innovation Exchange and AX.

70 505Followers

3 337Following

5 290Posts total

150.8KViews on collected posts

Последние посты

Brett Harrison ✓@BrettHarrison14 Sep

Comparing AI-based Trading Latencies LLMs aren’t fast enough for online inference in algorithmic trading except for longer-horizon stat arb trades. For the lowest latency trades, many non-LLM machine learning methods are viable. A latency comparison of high- and mid-frequency 10.1K views · 142 likes · 15 reposts · 5 replies Open on X →

Brett Harrison ✓@BrettHarrison10 Sep

@BrettHarrison Why LLMs are so bad at trading ideas? It’s the lack of creativity and abstraction? 143 views · 3 likes · 0 reposts · 1 replies Open on X →

Brett Harrison ✓@BrettHarrison10 Sep

@BrettHarrison When you probe an LLM’s knowledge of trading, it’s actually not that bad, so agent ensembling looks promising for alpha research But sample efficiency is not there yet: an agent gets lost quickly once it starts working with the data. When you put a single agent to 71 views · 2 likes · 0 reposts · 0 replies Open on X →

Brett Harrison ✓@BrettHarrison10 Sep

@BrettHarrison Has there been any expert analysis describing the proof as 'creative'? Or is it just that a bigger agent set is more resources thrown at the search? 317 views · 3 likes · 0 reposts · 1 replies Open on X →

Brett Harrison ✓@BrettHarrison10 Sep

Navier-Stokes and other frontier math discoveries have shown that multi-agent ensembles are required to escape the typical creativity constraints of LLMs. Is this also applicable to algorithmic trading research, which similarly lacks direct answers in LLM training data? The 16.8K views · 179 likes · 15 reposts · 26 replies Open on X →

Brett Harrison ✓@BrettHarrison8 Sep

At the current rate of compute financialization, CDOs on GPU-backed leases are likely coming to market. Non-investment-grade neocloud operators with 8-9 figure budgets are struggling to secure financing for under double-digit interest rates, and bundling is a short-term solution 9.7K views · 127 likes · 14 reposts · 16 replies Open on X →

Brett Harrison ✓@BrettHarrison4 Sep

I’m looking forward to discussing compute markets with this excellent panel at Bloomberg Derivatives Market Structure 2026. NYC evening of 9/30, also focusing on prediction markets and US perps, not to be missed. https://t.co/cL9o8Abn8o

7.8K views · 122 likes · 15 reposts · 8 replies Open on X →

Brett Harrison ✓@BrettHarrison28 May

@BrettHarrison Congrats Brett! You love to see it 1.7K views · 9 likes · 0 reposts · 1 replies Open on X →

Brett Harrison ✓@BrettHarrison28 May

Compute has emerged as the most important commodity in the 21-century global economy. The American Innovation Exchange will ensure that its financialization begins here in the U.S. and develops with the agility and speed the artificial intelligence industry requires. 2K views · 25 likes · 2 reposts · 1 replies Open on X →

Brett Harrison ✓@BrettHarrison28 May

Introducing the American Innovation Exchange, the first U.S. derivatives exchange designed for trading the AI economy. Trade futures and options on compute, metals, energy, and other critical instruments in the AI supply chain. Coming soon from Architect. https://t.co/5uIAnTvEQR

0:30

102.2K views · 426 likes · 53 reposts · 38 replies Open on X →

На фоне аккаунтов своего размера

7 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается большему числу людей, чем аккаунты того же размера.

Медианные просмотры7 785этот аккаунт924медиана для 10K–100K

Охват, %11.04%этот аккаунт3.62%медиана для 10K–100K

Вовлечённость, %1.63%этот аккаунт1.52%медиана для 10K–100K

Показатель	Этот аккаунт	Медиана для 10K–100K	Отношение
Медианные просмотры на пост	7 785	924	8.43×
Охват (просмотры ÷ подписчики)	11.04%	3.62%	3.05×
Вовлечённость	1.63%	1.52%	1.07×

Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

102.2K28 May

1.7K

7.8K4 Sep

9.7K8 Sep

16.8K10 Sep

317

143

10.1K14 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.51%28 May

1.40%

0.57%

1.86%4 Sep

1.63%8 Sep

1.31%10 Sep

1.26%

2.82%

2.80%

1.61%14 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes59.1%1 038 in total

Reposts6.5%114 in total

Replies5.5%97 in total

Bookmarks28.9%507 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Последние посты

На фоне аккаунтов своего размера

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Похожие аккаунты