Skip to main content
Mark Ku's Blog

Opening

Hi everyone, welcome to AI Stock Market Chat. Today is Thursday, October 8, 2026, and the Taiwan stock market is closed tomorrow, October 9, for the National Day holiday, so we're turning our attention to the next trading day: Monday, October 12. The AI model's outlook on the broader index leans neutral, range-bound, though overnight all four major US indices closed lower in sync, with the Philadelphia Semiconductor Index (SOX) dropping over 1%. We'll walk through the current state of play shortly.

Today's Index Forecast

Current 49806.37Next dayNeutral · 49382.81~50229.93 · Confidence 55%Short-termNeutral · 48859.25~50753.49 · Confidence 55%
TAIEX AI prediction range (next day / short-term)
HorizonCurrent pricePredicted directionTarget rangeConfidence
Next day (10/12)49806.37Neutral49382.81~50229.9355.0%
Short-term (~1 week)49806.37Neutral48859.25~50753.4955.0%

The model sees both the next-day and short-term outlooks as neutral, range-bound, with confidence sitting at 55%, not particularly high conviction. Compared to yesterday's (10/7) market recap, where advancing stocks (595) outnumbered decliners (391) yet the index still dipped 0.03%, sentiment was classified as mildly bearish, suggesting buying strength isn't especially solid. That cautious mood may well carry through to the open on Monday.

Global Market Snapshot

IndexCloseChange %
Taiwan Futures Night Session (TXF)49593-0.75%
Dow Jones Industrial Average (DJI)51179.87-0.66%
S&P 500 (GSPC)7801.77-0.22%
NASDAQ Composite (IXIC)27538.69-0.22%
Philadelphia Semiconductor Index (SOX)13066.15-1.15%

All four major US indices closed lower in unison, with the SOX posting the steepest drop at 1.15%. Taiwan's futures night session followed suit, closing at 49593, down 0.75%. These are the actual closing figures from Wednesday night into Thursday, with no predictive element involved.

Strategy Stock Screening Radar

The following are strategy screening results, not individual stock buy/sell predictions.

StockComposite scoreCapital flow scoreP/E ratioValuation
TSMC (2330)7610029.96Pricey
Formosa Chemicals & Fibre (1326)7288--
Chunghwa Telecom (2412)6910028.59Pricey
Nan Ya Plastics (1303)68100--
Formosa Plastics (1301)6788--

TSMC's CCI has risen to 193.61, indicating strengthening momentum, but its Williams %R has already moved into overbought territory, with a volume-price top divergence appearing, suggesting chase-buying momentum may be running low. These are purely descriptions of technical indicators, not trading recommendations. Nan Ya Plastics saw volume expand to 1.65x, with CCI climbing to 249.94, pointing to both popularity and momentum strengthening together, but RSI has reached 75, KD has formed a high-level death cross, and Williams %R also shows overbought conditions, a case where several overheating signals are surfacing at once. Formosa Chemicals & Fibre and Formosa Plastics are showing similarly strengthening momentum, with Williams %R also sitting in overbought territory. Chunghwa Telecom currently has its moving averages in a bullish alignment, with the share price above its monthly average, but the KD indicator is weakening; there's no clear buy or sell signal for the day.

Recent Prediction Accuracy Review

Index · Next day100% (5/5)Index · Short-term50% (1/2)
Recent directional hit rate (higher is better; includes settled sample count)

Let's be honest about the numbers: the directional hit rate for next-day index predictions stands at 100%, correct on all 5 of the last 5 calls, with the range itself fully matching in 4 out of those 5, and an average error of 0.41%. Short-term (roughly one week) performance has been far more modest, with a directional hit rate of only 50%, getting it right just 1 out of 2 times, and the range failing to fully match on either occasion, with the average error widening to 3.7%. One important caveat here: whether it's 5-for-5 or 1-for-2, the sample sizes are still very small and not yet enough to represent the model's true capability. A high hit rate isn't something to get too excited about, as future performance isn't guaranteed to keep pace with the current track record.

Disclaimer

This content is automatically generated by an AI model based on quantitative data and is intended for research reference only. It does not constitute investment advice or a recommendation of any kind. Neither this site nor the program's producers operate as a licensed securities investment advisory business, do not provide analysis to specific individuals, and receive no compensation for this content. Investing carries risk; please exercise your own judgment and bear responsibility accordingly.

Author

Mark Ku

10 年以上的軟體工程師,做過北美電商與 AI SaaS 訂閱收費系統。Read More

Found this useful?

The author's free tools, daily podcasts and newsletter are all here.

Mark Ku · This article is licensed under CC BY 4.0. Credit the author and link back to the original when reusing it.

Comments

Subscribe to Newsletter

Subscribe to get new posts delivered instantly — never miss a tech share.

By submitting, you agree to receive emails. You can anytime.

Produced by:226 Network

Popular Posts

View all
Mark Ku
··634

Oracle Cloud Always Free Tier: Linux Host and Static IP for a $0 Cloud Solution

Oracle Cloud Always Free Tier: Linux Host and Static IP for a $0 Cloud Solution
Mark Ku
··471

Say Goodbye to Postman's Fee Trap! A Hands-on Guide to Bruno, the Open-Source Git-Native API Testing Powerhouse.

Say Goodbye to Postman's Fee Trap! A Hands-on Guide to Bruno, the Open-Source Git-Native API Testing Powerhouse.
Mark Ku
··267

A Free, Open-Source, Notion-like Knowledge Base — A Complete Guide to Deploying and Backing Up Outline Wiki

A Free, Open-Source, Notion-like Knowledge Base — A Complete Guide to Deploying and Backing Up Outline Wiki
Mark Ku
··214

Building an Efficient API Management Platform: Deploying Kong Gateway from Scratch - Part 1

Building an Efficient API Management Platform: Deploying Kong Gateway from Scratch - Part 1
Mark Ku
··210

Training Your Own AI Voice: Hardware Requirements, Open-Source Model Comparison, and LoRA Fine-Tuning

Training Your Own AI Voice: Hardware Requirements, Open-Source Model Comparison, and LoRA Fine-Tuning
Mark Ku
··209

Setting Up Samba on Ubuntu to Share Folders with Windows 11

Setting Up Samba on Ubuntu to Share Folders with Windows 11