INTELRUNNER
I like it here, strictly technically.
Not financial advice. For all I know, they haven't sold a bottle in six months.
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INTELRUNNER
The market wants to see a more dovish Fed...
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INTELRUNNER
Silver lease rates are climbing (just like platinum about a month ago)โฆ
SI1! is up 1.7% today.
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INTELRUNNER
If you take the M2 money supply as a proxy for inflation, the Nasdaq 100 is now 14.83% higher than the Dotcom peak.
It's a new record! (As always.)
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INTELRUNNER
The M2 growth rate has hit a 39-month high...
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INTELRUNNER
Will it catch up to the S&P 500 on the year? It's on the way. The ratio of the sector to the broader market ($XLV/$SPY) is up 4.5% this week.
Healthcare is the big winner at +9.8%. Solid performance from Materials (+3.9%) and Consumer Staples (+3.6%) as well.
The biggest loser was Technology at -5.4%. Consumer Discretionary (-2.0%) and Industrials (-1.1%) also lagged.
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INTELRUNNER
Nvidia vs. Cisco (give or take a quarter century)โฆ
It's grown 29% year over year.
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INTELRUNNER
It's sat in the same stupid range at the bottom of its Dotcom slide, and it's merely returning to the highs...
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INTELRUNNER
It's down 28% in two months.
You see the pernicious influence here? And Europe thinks they want more military-industrial complex.
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INTELRUNNER
Top Ranked Adoptees: India
Lowest Ranked Adoptees: Brunei
India is the leader in crypto adoption, and I've covered their currency struggles. They also have a lot of underbanked people. Indonesia is a DeFi powerhouse. Vietnam takes advantage of the much cheaper remittances available to crypto users (TradFi money transfer comes with high fees). The Philippines has a thriving play-to-earn (P2E) gaming ecosystem.
Brunei, Bahrain, and Oman are high-income countries with strong banking sectors and little interest in alternative or speculative assets. In Afghanistan, the Taliban has declared cryptocurrency "haram," or morally off-limits.
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INTELRUNNER
Global Composite PMIs Suffer September Setback
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INTELRUNNER
It's +14.25% year over year, including +11.9% since the close on August 19th.
More on commodities today...
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INTELRUNNER
After a two-week spike following Liberation Day, the ratio topped out at 107:1. It's down 31.57% in the 7-8 months since, so it's probably fair to say we're in the secondary, silver-oriented phase of the precious metals bull market.
This isโor wasโthe undervaluation in silver I've been pointing out for some time. The traditional normal range was something like 50-80, but uncompromising gold buying since 2008 by everyone from central banks to Asian households seems to have shifted the modern range a bit higher.
Perhaps longer-term that will still be the case (historically & naturally, it's about 16:1), but over the last ten years, it looks more like a 70-100 range is the appropriate heuristic.
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INTELRUNNER
Do we really need to integrate power grids? We are already stable, and we're not caught up in the bullshit in Canada & Mexico.
While it's one of the most weather-sensitive trades out there, there's more going on than simply the advent of winter:
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INTELRUNNER
I had been noting bullishness in copper in early July, and price delivered on that trade rather promptly. Then came Trump's 50% tariff
Last Friday $COPX broke out of a descending channel/bull flag type structure. On Saturday we discussed the 27% rise in copper prices this year.
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INTELRUNNER
If we get a bottom in $DXY, then it has a nasty nest of VWAPs (from key inflection points over the past five years) right overhead (between $100.68 & $103.72).
If it punches through that, then risk assets will face some pressure...
$DXY is up 3.37% in the last 2.5 months.
More: A longer-term view of the initial bounce one month ago.
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INTELRUNNER
So liquidity must be looking up...
What a clean five wave formation, by the way.
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INTELRUNNER
Recent tests by the European Broadcasting Union found that artificial intelligence assistants misrepresented news content in 45% of evaluated cases across languages and regions, highlighting persistent concerns about accuracy as Al adoption grows.
Two concepts are measured here: (1) accuracy, or the rate at which responses were factually correct and (2) hallucination, or the proportion of responses a model gets wrong because it made them up:
Accuracy remains limited. Gemini 3 Preview (High) leads at 54%, followed by Claude Opus 4.5 at 43% and Grok 4 at 40%. Gemini 2.5 Pro reaches 37%, GPT-5.1 (High) 35%, and Claude 4.5 Sonnet 31%. Most other models fall into the twenties or teens, showing that higher accuracy does not automatically prevent frequent errors.
Hallucination rates vary widely. Claude 4.5 Haiku reports the lowest rate at 26%, followed by Claude 4.5 Sonnet at 48% and GPT-5.1 (High) at 51%. Claude Opus 4.5 reaches 58%...Grok 4 records 64%, Kimi K2 0905 69%, and Grok 4.1 Fast 72%. Kimi K2 Thinking reaches 74%, and Llama Nemotron Super 49B v1.5 76%.
DeepSeek models are among the least reliable. V3.2 Ex records 81%, R1 0528 83%, and EXAONE 4.032B 86%. Llama 4 Maverick posts 87.58%, while multiple Gemini variants exceed 87%. GLM-4.6 and gpt-oss-20B (High) top the chart above 93%.
This is why ChatGPT (OpenAI) and Claude (Anthropic) are doing well. The latter especially is making inroads into the commercial sector because of the high value placed on both of these two accuracy metrics.
It makes no difference what extra mile your model can pull off if it's inventing things when it should be uncertain. Grok 4 was the most accurate until fairly recently, but are companies going to switch to the probable new leader in accuracy, Gemini 3, when it hallucinates 88% of the time?
Related: AI Safety Rankings
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