doc: Update READMEs with Chicago example, expanded feature descriptions, and new betting strategy tips.

README.md

@@ -34,54 +34,83 @@ _Note: The system is currently in **Weather Query Mode**. Active market monitori
 ### /city Command Example
 
 ```
-/city London
+/city Chicago
 ```
 
 **Real-time Output:**
 
-> 📍 **London 天气详情**  
-> ⏱️ 生成时间: 00:41:17  
-> ═══ ═══ ═══ ═══ ═══ ═══  
-> 🕐 当地时间: 16:41
+> 📍 **Chicago 天气详情**  
+> ⏱️ 生成时间: 12:45:30  
+> ════════════════════  
+> 🕐 当地时间: 12:45
 >
 > 📊 **Open-Meteo 7天预测**  
-> 👉 今天: 最高 12°C  
->  02-09: 最高 11°C
+> 👉 今天: 最高 22.4°F (NWS: 23°F)  
+>  02-08: 最高 26.2°F  
+>  02-09: 最高 37.2°F
 >
-> ✈️ **机场实测 (EGLC)**  
->  🌡️ 10.0°C  
->  💨 风速: 12kt  
->  🕐 观测: 16:20 (当地)
+> ✈️ **机场实测 (KORD)**  
+>  🌡️ 21.0°F (今日最高: 23.0°F)  
+>  💨 风速: 4kt  
+>  🕐 观测: 12:00 (当地)
 >
 > 💡 **态势分析**  
-> 📉 **处于降温期**：气温已开始从峰值下滑，今日大概率不会再反弹。  
-> 🍃 **清劲风**：空气流动快，虽然有助于散热，但可能伴随阵风引起微小波动。
+> ⏱️ **预计峰值时刻**：今天 14:00 - 16:00 之间。  
+> 🎯 **博弈建议**：关注该时段实测能否站稳 22.4°F。  
+> 📈 **升温进程中**：距离峰值还有约 1.4° 空间，正向高点冲击。
 
 ---
 
 ## ✨ Key Features
 
-### 1. 💡 Intelligent Trend Analysis
+### 1. 🏛️ Multi-Source Data Fusion
 
-The bot doesn't just show numbers; it performs a **Live vs. Forecast** analysis:
+The bot aggregates data from multiple authoritative sources:
 
-- **Peak Detection**: Determines if the daily high has likely already passed.
-- **Atmospheric Physics**: Uses humidity and dew point to predict if the temperature will "stall" at night.
-- **Volatility Alerts**: Flags high wind speeds that might cause rapid temperature swings.
+| Source         | Data Type                      | Coverage          |
+| -------------- | ------------------------------ | ----------------- |
+| **Open-Meteo** | 7-day forecast                 | Global            |
+| **NWS**        | Official US forecast           | US cities only ⚠️ |
+| **METAR**      | Real-time airport observations | Global airports   |
 
-### 2. ✈️ High-Fidelity Airport Data (METAR)
+- **⚠️ Divergence Alerts**: When Open-Meteo and NWS disagree by >1°F, the bot flags it for your attention.
+
+### 2. ⏱️ Peak Timing Prediction
+
+For each city, the bot analyzes the hourly forecast curve to identify:
+
+- **Exact peak window**: e.g., "14:00 - 16:00"
+- **Betting recommendation**: Monitor real-time data during this window
+
+### 3. 📊 Today's High Tracking
+
+METAR data is filtered by **local calendar day** using UTC offset:
+
+- Only observations from **local midnight onwards** are counted
+- Ensures "Today's High" is accurate, not polluted by yesterday's warm afternoon
+
+### 4. ✈️ High-Fidelity Airport Data (METAR)
 
 Directly connected to **NOAA Aviation Weather**, the bot fetches raw METAR data from major international airports.
 
 - Automatic conversion from UTC to **City Local Time**.
 - Real-time station observations (Temperature, Wind, Dew Point).
 
-### 3. ⚡ Ultra-Fresh Data (Cache Busting)
+### 5. ⚡ Ultra-Fresh Data (Cache Busting)
 
 Engineered to bypass ISP and proxy caches:
 
 - Every request includes a **micro-timestamp token**.
-- Forces weather servers (Open-Meteo/NOAA) to deliver fresh results instead of stale cached snapshots.
+- Forces weather servers (Open-Meteo/NOAA/NWS) to deliver fresh results instead of stale cached snapshots.
+
+---
+
+## 🎯 Betting Strategy Tips
+
+1. **Check model consensus**: If Open-Meteo and NWS agree, confidence is high.
+2. **Watch the peak window**: Monitor METAR during predicted peak hours.
+3. **Use "Today's High"**: Track the actual recorded maximum vs forecast.
+4. **Interpret ⚠️ warnings**: Divergence means uncertainty—proceed with caution.
 
 ---