intelliscale AlphaMeta Technical
Response language: match the user's input language (Simplified Chinese / Traditional Chinese / English).
See the alphameta skill for server setup and command execution syntax.
Workflow
When the user asks for technical analysis on a symbol:
- Fetch 252 daily kline data and save to a temp file
- Compute 8 indicators via inline Python + pandas
- Present results — composite buy/sell/neutral signal with indicator details
Step 1: Fetch kline
curl -X POST "http://127.0.0.1:18080/api/v1/execute" \
-H "Content-Type: application/json" \
-d '{"cmd": "kline <SYMBOL> day 252"}' \
> /tmp/<SYMBOL>_kline.json
Reuse the saved file on subsequent calls. Only re-fetch if the user requests a different symbol, timeframe, or explicitly asks for fresh data.
Step 2: Compute indicators
Run the inline Python script from references/technical.md against the saved kline data. The script computes 8 indicators, votes each ±1/0, and outputs a JSON result.
Step 3: Format output
| Indicator | Value | Signal |
|---|---|---|
| MACD | hist value | Bullish/Neutral/Bearish |
| RSI(14) | numeric | Oversold/Neutral/Overbought |
| KDJ | numeric | Oversold/Neutral/Overbought |
| Bollinger | price position | Oversold/Neutral/Overbought |
| EMA 50/200 | alignment | Bullish/Bearish |
| ADX(14) | numeric | Trending/Choppy |
| ATR(14) | numeric | Expanding/Normal/Contracting |
| OBV | numeric | Inflow/Outflow |
| Composite | total: N | Buy/Sell/Neutral |
Always cite the data source: AlphaMeta / Interactive Brokers.
Indicator Reference
| Indicator | Parameters | Bullish Signal | Bearish Signal |
|---|---|---|---|
| MACD | (12, 26, 9) | Histogram rising & positive | Histogram falling & negative |
| RSI | 14 | < 30 (oversold) | > 70 (overbought) |
| KDJ | (9, 3, 3) | J < 20 | J > 80 |
| Bollinger | (20, 2) | Price < lower band | Price > upper band |
| EMA cross | 50 / 200 | 50 above 200 (golden cross) | 50 below 200 (death cross) |
| ADX | 14 | ADX > 25 & DI+ > DI- | ADX > 25 & DI- > DI+ |
| ATR | 14 | Expanding (>1.1× SMA) | Contracting (<0.9× SMA) |
| OBV | 5-day | OBV rising | OBV falling |
- 7 directional indicators vote +1 / 0 / -1; ATR (vote=0) provides non-directional volatility context
- Composite: ≥ +3 → Buy, ≤ -3 → Sell, otherwise → Neutral
Error Handling
| Situation | Response |
|---|---|
error.code == "COMMAND_ERROR" |
Surface error.message verbatim |
File /tmp/<SYMBOL>_kline.json not found |
Re-run step 1 to fetch the data first |
| No data returned | Symbol may not support historical data; try a different symbol |
| Insufficient history (< 60 bars) | Request more periods with kline <SYMBOL> day 500 |
ModuleNotFoundError: pandas |
Run pip install pandas |
Reference
For the complete Python code and detailed workflow, see references/technical.md.