Hello everyone, and welcome to AI Stock Market Chat. Today is Monday, October 5, 2026. Since the domestic market may be closed for part of the session, we won't be looking at "today's" market, but rather the AI model's prediction for the next trading day: Tuesday, October 6. This time, the model is leaning bullish, though confidence sits at only around 55%, which puts it in neutral-to-bullish territory rather than a strong signal. In this episode, we'll also lay out the current state of global markets, the strategy stock-picking radar, and our recent hit-rate scorecard.

Today's Index Forecast

The model gives a bullish direction for both the next-day and short-term horizons, but confidence is stuck at 55% in both cases, a state best described as "directionally suggestive but not forceful." For reference, a recent market sentiment report (October 2) showed the TAIEX up a modest 0.25%, with advancing and declining stocks nearly evenly split (489 up, 511 down), an overall neutral tone that echoes this prediction's bullish-but-low-confidence read. Worth noting: don't treat a 55% confidence level as a sure bet.

Current State of Global Markets

Strategy Stock-Picking Radar

The following is a strategy screening result, not a prediction on individual stock trades.

This batch generally scores well on chip metrics, but the technical signals are mixed: Chunghwa Telecom and Delta Electronics both show overbought RSI or Williams %R readings, falling into a "run-up, watch for chasing highs" scenario. Yang Ming shows a golden cross in the low KD range, but its moving averages have formed a death cross and MACD shows a top divergence, meaning the signals are conflicting. Hon Hai has no clear buy or sell signal today; its moving averages are in bullish alignment, but the price has broken below the monthly line, suggesting a wait-and-see stance.

Recent Forecast Hit-Rate Review

Let's be honest about the recent track record: the index's next-day direction forecast has hit 3 out of the last 3 times, a 100% hit rate, and the target range was also correct all 3 times, with an average error of just 0.1%. Those numbers look pretty impressive. That said, the sample size is only 3, which is quite small, so it doesn't guarantee this level of performance will hold going forward. Take it as information, not as a basis for trading decisions.

Disclaimer

This content is automatically generated by an AI model based on quantitative data and is provided for research reference only. It does not constitute investment advice or a recommendation of any kind. This site and the program's producers are not a licensed securities investment advisory business, do not provide analysis to specific individuals, and receive no compensation of any kind for this content. Investing carries risk; please exercise your own judgment and bear your own responsibility.