Field guide / primary domain

AI Trading

14

sources in this field

Updated July 16, 2026

Current thesis

The shortest path to orientation.

AI-driven trading repos are the fastest-growing fintech category. The dominant architecture: multi-agent debate frameworks where investor personas (Buffett, Munger, Lynch, Graham, Wood, Ackman) argue before a Portfolio Manager votes. virattt/ai-hedge-fund and TauricResearch/TradingAgents established the pattern; Vibe-Trading scaled to 29 expert teams with 64-71 finance skills and MCP integration. AutoHedge and FinceptTerminal package director/quant/risk-manager/execution splits. Infrastructure commoditizes rapidly: OpenBB (66K+ stars) is the open-data Bloomberg alternative with MCP; Kronos (AAAI 2026) is the first foundation model for candlesticks; freqtrade and Microsoft qlib cover crypto and quant pipelines; juspay/hyperswitch is payments infrastructure. Zero-cost automation: ZhuLinsen/daily_stock_analysis runs on GitHub Actions, pushing daily dashboards with exact entry/exit levels—no servers, just cron+LLM. A fundamental-thesis layer emerged: AI beta measures revenue/profit depending on AI demand cycles. Nvidia's concentration drove sharper moves than TSMC's diversification. Nvidia's supply chain spans 10 critical categories (IP, equipment, memory, packaging, power); direct corporate stakes ($CRWV, $NBIS) signal strategic importance. The $DRAM ETF is extreme concentration (75% = Micron+SK Hynix+Samsung). 2030 "millionaire-maker" baskets span compute (NVDA, AMZN), nuclear (NuScale), space (RKLB), materials (MP), photonics (AAOI), and quantum policy (CHIPS Act funding creates high-beta moves). Trading is the cleanest test bed: structured data, binary outcomes, explicit risk controls.

Evidence board

Claims worth carrying forward
01

Post signals an anticipated 'rotation' (likely market or sector shift) with a linked resource, but zero substantive content is available to extract a durable claim, prediction, or mechanism.

02

Nvidia's AI hardware stack maps to 9 investable categories: IP (ARM), Fab (TSM, INTC), Memory (MU, SNDK, WDC), Packaging (ASX, AMKR, CAMT), Equipment (KLAC, LRCX, ASML, KEYS), Networking (COHR, GLW, FN, LITE, APH), Server OEMs (DELL, SMCI, JBL), Power Systems (FLEX, VRT, ETN), Power Electronics (STM, ADI, MPWR, NVTS, ON).

03

Nvidia holds direct equity investments in CRWV, NBIS, NOK, SNPS, LITE, and GLW—companies where Nvidia has strategic, not just commercial, interest. LITE and GLW appear in both the supplier list and direct investments, signaling elevated conviction in optical networking.

04

Power infrastructure is split into two distinct categories: Power Systems (FLEX, VRT, ETN—rack/datacenter-level) and Power Electronics (STM, ADI, MPWR, NVTS, ON—chip/board-level). Both segments benefit from AI compute scaling but serve different parts of the stack.

05

Packaging (ASX, AMKR, CAMT) is listed as a standalone category alongside fabs and equipment—reflecting advanced packaging (CoWoS, HBM integration) becoming a critical bottleneck and investable layer in the AI chip supply chain.

06

Nuclear small modular reactor play: NuScale Power ($SMR) is the listed pure-play SMR stock. SMR is a thematic bet on grid-scale nuclear as AI data center power demand grows beyond renewables' capacity to supply.

07

Rare earth and compound semiconductor exposure: MP Materials ($MP) and AXT Inc ($AXTI) cover the rare earth and substrate supply chain. These names sit upstream of AI chip, EV, and defense demand—supply constraints are a structural tailwind.

08

AI infrastructure cluster: IREN (Bitcoin/HPC hosting), NVDA (GPUs), Nebius Group ($NBIS, ex-Yandex AI cloud), and Micron ($MU, HBM memory) form a four-stock AI compute stack covering hosting, silicon, cloud, and memory layers.

Adjacent fields

Developer Tools · 3AI Agents · 3Hermes Agent · 1AI Agents: Products · 1Claude: Ecosystem & Tools · 1AI Agents: Orchestration · 1AI Agents: Infrastructure · 1Physical AI · 1

Key voices

Lin2 Jason Luongo2 Shay Boloor2 wincy.eth2 RonnieV1 Nous Research1 mon1 Guri Singh1

Latest evidence

Recent additions

All synthesized insights →

RonnieV

Rotation is Coming (Unresolved)

The post contains only the phrase 'Rotation is coming...' with a link and no further content. No substantive claim, evidence, or context is recoverable from the available text.

AI Trading Needs context

Lin

Nvidia's AI Supply Chain: A Sector-by-Sector Investment Map

Nvidia's supplier and partner network reveals the full AI hardware stack. The list spans 9 categories—IP, fabs, memory, packaging, equipment, networking, server OEMs, power systems, and power electronics—plus direct equity investments. Each category names specific public tickers, making this a structured equity screen for AI infrastructure exposure.

AI Trading

Nous Research

Hermes Agent: 262 Community Use Cases Across 15 Categories

Nous Research's Hermes Agent page aggregates 262 real-world deployments scraped from X, GitHub, Reddit, HN, YouTube, and Discord. Stories span dev workflows, personal assistants, trading bots, enterprise deployments, and self-hosted setups — revealing Hermes as a general-purpose agent OS with self-improving skills, three-layer memory, and natural-language cron as its signature primitives.

Hermes AgentAI Trading

Shay Boloor

Trump Administration $2B Quantum Computing Commitment via CHIPS Act

The Trump administration reportedly committed $2B to quantum computing through the CHIPS and Science Act, structured as grants plus minority government equity stakes. IBM leads with ~$1B, followed by GlobalFoundries ($375M), and pure-play quantum names QBTS, RGTI, and INFQ each receiving ~$100M. Markets reacted sharply, with INFQ +34%, QBTS +23%, RGTI +21%.

AI Trading