serejaris OHLCV Technical Indicator Analysis Tool (Stock Signal Analyzer)
Computes 15+ technical indicators from OHLCV data and generates a bullish/bearish signal summary with an overall assessment. Simply provide a CSV file containing OHLCV columns to get a complete technical analysis report.
Quick Start
python3 scripts/compute_indicators.py data.csv
Output as a text report:
python3 scripts/compute_indicators.py data.csv --format text
Output indicator data for the last 5 rows:
python3 scripts/compute_indicators.py data.csv --last-n 5
Save results to a file:
python3 scripts/compute_indicators.py data.csv -o result.json
Input Data Format
The CSV file must contain the following columns (column names are case-insensitive and common aliases are supported):
| Column | Aliases | Description |
|---|---|---|
Open |
o |
Opening price |
High |
h |
Highest price |
Low |
l |
Lowest price |
Close |
c, adj close |
Closing price |
Volume |
vol, v |
Trading volume |
Date |
datetime, time |
Date (optional) |
Example CSV:
Date,Open,High,Low,Close,Volume
2025-01-02,100.0,105.0,99.0,103.5,1500000
2025-01-03,103.5,108.0,102.0,106.0,1800000
...
Technical Indicators (17 Groups)
Moving Averages (6 items)
- SMA(5), SMA(10), SMA(20), SMA(60) — Simple Moving Averages
- EMA(12), EMA(26) — Exponential Moving Averages
MACD (3 items)
- MACD Line (EMA12 − EMA26)
- Signal Line (9-day EMA of MACD)
- Histogram (MACD − Signal)
RSI (1 item)
- RSI(14) — 14-day Relative Strength Index
Bollinger Bands (3 items)
- Upper Band (Middle + 2σ)
- Middle Band (SMA20)
- Lower Band (Middle − 2σ)
KDJ (3 items)
- K value, D value, J value (9,3,3 parameters)
Volatility & Trend
- ATR(14) — Average True Range
- ADX(14) — Average Directional Index
- +DI / −DI — Directional Movement Indicators
Volume-Price Indicators
- OBV — On-Balance Volume
- VWAP — Volume-Weighted Average Price
- MFI(14) — Money Flow Index
Momentum Indicators
- CCI(20) — Commodity Channel Index
- Williams %R(14) — Williams Percent Range
- ROC(12) — Rate of Change
- TRIX — Triple Exponential Moving Average
Signal Rules
| Indicator | Bullish Signal | Bearish Signal |
|---|---|---|
| MA Cross | SMA5 > SMA20 | SMA5 < SMA20 |
| MACD | Histogram > 0 | Histogram < 0 |
| RSI | RSI < 30 (oversold) | RSI > 70 (overbought) |
| Bollinger Bands | Price < Lower Band | Price > Upper Band |
| KDJ | J < 20 or K > D | J > 80 or K < D |
| CCI | CCI < −100 | CCI > 100 |
| Williams %R | %R < −80 | %R > −20 |
| ADX/DMI | ADX > 25 and +DI > −DI | ADX > 25 and −DI > +DI |
| ROC | ROC > 0 | ROC < 0 |
| MFI | MFI < 20 | MFI > 80 |
| OBV | 5-day uptrend | 5-day downtrend |
| TRIX | TRIX > 0 | TRIX < 0 |
The overall assessment is based on the proportion of bullish vs. bearish signals.
Output Formats
JSON Mode (default)
{
"metadata": { "input_file": "...", "total_rows": 100, "indicators_computed": 27 },
"indicators": [ { "date": "...", "close": 103.5, "SMA_5": 102.1, ... } ],
"signals": { "MA_Cross": "bullish", "MACD": "bearish", ... },
"summary": { "verdict": "bullish", "bullish_count": 7, "bearish_count": 4, "neutral_count": 1 }
}
Text Mode
A structured analysis report containing all indicator values and a bullish/bearish signal summary.
Dependencies
- Python 3.7+
- pandas
- numpy
pip install pandas numpy
Notes
- All indicators are computed offline from user-provided historical data — no live market data is fetched
- Technical indicators require a minimum amount of historical data to compute (e.g., SMA60 needs at least 60 data points)
- When insufficient data is available, the corresponding indicator displays
null/N/Awithout affecting other indicators - Signal assessments are for reference only and do not constitute investment advice