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Opening Remarks

Hello everyone, I'm Ticker! Today is Friday, July 31, 2026, and we're here to talk about the market trend for the next trading day, which is Monday, August 3, 2026. As July comes to a close, today's AI models have uncharacteristically gone completely "silent"—giving no predictions for either the broader market or individual stocks. It seems that ahead of next Monday's critical situation, even the AI has chosen to sit on the sidelines and watch. Although we don't have prediction data today, Ticker has compiled a heavyweight market calendar for next week. It's still packed with valuable insights, so let's dive right in!

Today's Market Forecast

The service only forecasts the Taiwan Capitalization Weighted Stock Index (TAIEX), offering two horizons: "Next-Day" and "Short-Term". Here are the prediction results:

HorizonCurrent PriceForecast DirectionTarget RangeConfidence
Next-Day (08/03)N/AWait-and-SeeN/AN/A
Short-Term (1 Week)N/AWait-and-SeeN/AN/A

You read that right—the AI has directly issued a "Wait-and-See" stance for the broader market on Monday, August 3, 2026. Since the model has chosen not to force a move, we should respect that. Next week, the Taiwan stock market faces plenty of challenges. In addition to earnings calls from several heavyweight semiconductor and packaging/testing giants kicking off in early August, the US is also set to release its non-farm payroll data. With a strong wait-and-see sentiment currently dominating the market, we suggest following the AI's rhythm when the market opens on Monday: observe more, trade less, and stay patient.

Global Market Status

Taiwan Index Futures (Night Session) and the four major US indices / Philadelphia Semiconductor Index only show "Current Status" with no predictions:

IndexCloseChange %
System Data Integration ErrorN/AN/A

We would like to apologize to our audience. Today, our global market database experienced an integration anomaly, which prevented us from displaying the latest US stock and night session data in real-time. Adhering to our principles of honesty and transparency, we refuse to just grab unverified numbers from the internet to fill the gaps. Ticker has already asked the engineering team to urgently debug the system over the weekend, and we will definitely bring you the most complete global market information in Monday's update!

AI Forecasts for Key Assets

Individual stocks with actual AI predictions (all fields complete):

StockDirectionTarget RangeConfidenceTechnical Signals
No stocks met the prediction criteria in this period----

Today's individual stock predictions are also completely empty. If the AI isn't confident, it won't take wild guesses. This is a core principle of our model—we will never output low-confidence predictions just to fill up the page. After all, everyone's hard-earned money doesn't grow on trees.

Strategic Stock Selection Radar

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

StockOverall ScoreInstitutional Flow ScoreP/E RatioValuation
No stocks met the screening criteria in this period----

Today's strategic stock selection is also a blank. When market volatility is high and the direction is unclear, our screening criteria automatically tighten. This is a defensive mechanism designed to protect your assets.

Recent Prediction Accuracy Review

Regarding the accuracy rate that everyone cares about most, we are currently facing a situation of "insufficient settled samples." To be completely frank, because we recently refactored and upgraded the core parameters of our AI prediction model, past historical data is no longer relevant for reference. To uphold "honesty and transparency," we refuse to use old model data to sugarcoat things, nor will we cherry-pick a few good results to inflate our numbers. Once the new model accumulates 30 settled samples, Ticker will immediately lay out the win-rate table in broad daylight for everyone to see—the good, the bad, and the ugly!

Disclaimer

This content is automatically generated by an AI model based on quantitative data and is for research reference only. It does not constitute investment advice. Investing involves risk; please make your own judgments and assume all associated risks.

Author

Mark Ku

擁有 10+ 年經驗的資深軟體工程師,現為 AI 應用 Builder,專注於大型平台架構與簡化複雜系統設計,從電商系統到訂閱與收費平台,結合 AI Agent、AI 整合與自動化開發,打造高效率且可持續演進的產品技術基礎。Read More

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