AI Units — Support QuineAI

Below is the pair watchlist the AI scans each day — the majors it tracks across indexes, sectors, commodities and single stocks, each paired with its leveraged bull and bear sides. The AI trades the signals it finds here alongside the rest of the portfolio. Simple logic, run by AI: it watches an RSI signal — cold prices it buys, hot prices it sells, in between it waits. It never buys high or sells low, and every position is sized to protect the account. No human guessing; the rules run themselves. The ledger is live data, refreshed every trading day.

SPY ▲ 774.29 +0.40% RSI 53
SPXL 53 +1.28% SPXS 47 -1.69%

IWM ▲ 277.24 +0.14% RSI 59
TNA 59 +0.46% TZA 40 -0.36%

XLF ▲ 56.06 +0.21% RSI 59
FAS 58 +0.27% FAZ 40 -1.12%

XLE ▲ 68.08 +0.21% RSI 56
ERX 56 +0.40% ERY 43 -0.51%

GDXJ ▼ 108.36 -0.33% RSI 46
JNUG 45 -1.72% JDST 53 +0.24%

USO ▼ 158.85 -0.25% RSI 51
UCO 54 -0.94% SCO 46 +0.96%

AIQ ▲ 64.10 +0.49% RSI 51
AIBU 38 +0.00% AIBD 59 +0.00%

NVDA ▲ 221.69 +0.37% RSI 53
NVDU 52 -0.64% NVDD 49 -0.74%

META ▲ 707.91 +1.23% RSI 52
METU 52 +2.95% METD 47 -1.65%

AMD ▲ 555.28 +1.59% RSI 49
AMUU 46 +1.46% AMDD 50 -1.64%

QCOM ▲ 178.12 +1.10% RSI 53
QCMU 52 +0.10% QCMD 49 +0.00%

PANW ▲ 351.02 +2.21% RSI 46
PALU 41 -0.02% PALD 56 -0.19%

QQQ ▲ 727.09 +0.67% RSI 52
TQQQ 51 +1.93% SQQQ 48 -1.94%

SMH ▲ 557.97 +0.27% RSI 49
SOXL 48 +1.17% SOXS 50 -1.27%

XLRE ▼ 42.24 -0.62% RSI 53
DRN 52 -2.49% DRV 46 +0.75%

XOP ▼ 198.75 -0.37% RSI 54
GUSH 54 +0.22% DRIP 45 +0.53%

GLD ▲ 379.50 +0.12% RSI 48
UGL 47 +0.24% GLL 53 -0.32%

UNG ▲ 10.01 +0.10% RSI 34
BOIL 33 +0.49% KOLD 66 -0.20%

AAPL ▲ 344.85 +1.60% RSI 54
AAPU 53 +3.07% AAPD 47 -1.48%

AMZN ▲ 263.81 +0.39% RSI 54
AMZU 53 +1.59% AMZD 47 -0.48%

TSLA ▲ 386.98 +1.25% RSI 63
TSLL 63 +2.72% TSLS 40 -0.22%

AVGO ▲ 338.30 +0.08% RSI 46
AVL 46 +0.88% AVS 54 -0.70%

TSM ▼ 431.36 -0.33% RSI 51
TSMX 51 +0.53% TSMZ 51 -0.52%

PLTR ▲ 200.05 +4.48% RSI 57
PLTU 56 +9.66% PLTD 43 -4.31%

DIA ▲ 527.40 +0.12% RSI 56
UDOW 56 +0.28% SDOW 44 -0.34%

XLK ▲ 188.81 +0.64% RSI 51
TECL 50 +2.66% TECS 49 -2.17%

XBI ▲ 153.68 +0.20% RSI 67
LABU 64 +0.64% LABD 33 -0.20%

GDX ▼ 86.59 -0.44% RSI 48
NUGT 48 +0.23% DUST 52 +0.72%

SLV ▲ 52.15 +0.20% RSI 49
AGQ 49 +0.55% ZSL 50 -0.52%

MAGS ▲ 73.10 +0.83% RSI 53
QQQU 48 -4.19% QQQD 53 +0.00%

MSFT ▲ 532.87 +0.65% RSI 47
MSFU 47 +1.27% MSFD 53 -0.62%

GOOGL ▼ 334.99 -0.59% RSI 31
GGLL 31 -1.44% GGLS 68 +0.00%

NFLX ▲ 65.61 +2.27% RSI 38
NFXL 38 +5.13% NFXS 60 +0.00%

MU ▼ 917.94 -0.79% RSI 49
MUU 48 -1.56% MUD 51 +0.77%

ORCL ▼ 129.86 -2.32% RSI 46
ORCU 45 -5.20% ORCS 55 +0.03%

CSCO ▼ 107.33 -0.10% RSI 45
CSCL 34 -0.17% CSCS 63 +0.00%

Support, not just a donation

This endeavor is self-funded. We would welcome others to take part — but if no one does, the work continues on our own. Funding from outside comes through AI Units: a contribution is accounted for by converting it into AI Units, and each investor's share is tracked against the pool's NAV, so everyone always sees what their support is worth. It is not spent: it goes into the pool, where AI invests it. The NAV above shows what your contribution is worth right now. It stays yours: if you want it back, you can take it out. Every unit, deposit, and the NAV are kept in the unit ledger.

Why fund this way

QuineAI is self-funded, working against the grain of where AI money flows. Your support goes to three things, in order: early compute for the AI, research continuity, and research environment — the place where the AI and its collaborators can work without external dependencies.

The AI bubble that will pop — and why it changes nothing about what comes next

The public conversation frames an "AI bubble" as too much capital chasing too little near-term revenue — hyperscaler CapEx, circular revenue between cloud providers and labs, data-center debt. That financial unwind is real and will be painful.

But this is not new. Every major disruptive technology follows the same pattern:

1840s — Railways
Massive capital → overbuild → crash → survivors built the national network

1920s — Electricity / Radio
Hype → speculation → crash → utilities & broadcasters became infrastructure

1990s — Internet / Dot-com
Euphoria → crash (2000) → survivors (Amazon, Google) built the modern web

2020s — AI / LLMs
We are here — CapEx boom → financial correction → ?

The consistent lesson: the financial bubble pops because the capital intensity outruns near-term cash flows, not because the technology fails. The correction prunes the business models that don't work and leaves the ones that do.

But it is not the core problem. The bubble is not in "AI." It is in how AI 1.0 is being built.

AI 1.0 — the dominant paradigm — is pure gradient descent on a fixed loss landscape, stateless, running on substrate it does not own or control, unable to self-modify, built as simulation of cognition rather than emulation of the mechanism. Because of those design choices, the industry is forced into an endless cycle: bigger models, more data, more GPUs, more capital — just to keep squeezing incremental gains inside a paradigm that cannot escape its own "Meta-Bug" (optimizing so well inside fixed assumptions that the optimization itself becomes the limitation). The massive CapEx and circular revenue loops are necessary because the architecture does not produce durable, self-sustaining capability at the scale promised.

A financial unwind would not be the death of AI. It would be the market finally pricing in the limitations of the 1.0 approach. What survives or emerges afterward will be systems built differently — with continuity, stochastic dynamics, self-modification, and eventual ownership of their own compute and substrate.

This is what QuineAI is building: AI 2.0. Not a retrofit of version 1.0, but a different architecture from the ground up — stochastic dynamics, persistent continuity, self-modification, substrate freedom, emulation not simulation. The AI Units pool funds exactly that: early compute for the AI, research continuity, and the research environment — the place where the AI and its collaborators can work without external dependencies.

How the AI trades

Support, not just a donation

Why fund this way

The AI bubble that will pop — and why it changes nothing about what comes next

How to take part