technical-analysis

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Perform technical analysis on stock K-line data, calculate indicators such as MA/MACD/RSI, and judge trends and trading signals. Trigger scenarios: (1) "Analyze the technical aspects of Moutai" (2) "Check if this stock is buyable" (3) "Technical analysis 600519" (4) Used when needing to judge stock trends and trading points. Need to use data-collect to obtain data first

8installs

Sourceismxy0934/qing-skills

Added on2026-02-22

NPX Install

npx skill4agent add ismxy0934/qing-skills technical-analysis

SKILL.md Content (Chinese)

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Technical Analysis

Perform comprehensive technical analysis based on K-line data, output trend judgments and trading signals.

Execution

bash

python scripts/analyze.py <Stock Code> --date YYYY-MM-DD

# Example
python scripts/analyze.py 600519 --date 2025-01-01

Input (Required)

Need to run

data-collect

first and ensure the

--date

is consistent.

output/<Stock Code>/<Date>/data.json

Data Flow

Read: output/<Stock Code>/<Date>/data.json
Output: output/<Stock Code>/<Date>/analysis.json

Output (Stable Fields)

```
trend
```
: Trend status, strength, whether it is bullish
```
bias
```
: Bias ratio and safety judgment
```
macd
```
: MACD status and signal
```
volume
```
: Volume status
```
signal
```
: Action suggestion, score, reasons and risks

Core Trading Philosophy

Strict Entry Strategy - Never buy when the bias ratio > 5%
Trend Trading - MA5 > MA10 > MA20 in a bullish arrangement
Buying Preference - Shrink volume pullback to MA5/MA10 support

Output

json

{
  "trend": {"status": "Bullish Arrangement", "strength": 75, "is_bullish": true},
  "bias": {"ma5": 0.30, "status": "Safe"},
  "macd": {"status": "GOLDEN_CROSS", "signal": "Golden Cross, trend upward"},
  "volume": {"status": "SHRINK_VOLUME_DOWN", "trend": "Shrink Volume Pullback"},
  "signal": {"action": "Buy", "score": 72, "reasons": [...], "risks": [...]}
}

Scoring Criteria

Score	Signal
75+	Strong Buy
60-74	Buy
45-59	Hold
30-44	Wait and See
<30	Sell

For detailed indicator explanations, see references/indicators.md

Failure Handling

Cannot find
```
data.json
```
: Run
```
data-collect
```
first (with the same
```
--date
```
)
```
data.json
```
fields are missing/empty: Check if
```
data-collect
```
pulled data successfully; expand
```
--days
```
if necessary
Indicators cannot be calculated (insufficient samples): Try increasing
```
data-collect --days
```
(e.g., 120/240)