0
# Technical Analysis
1

2
Technical analysis indicators, charting capabilities, and quantitative analysis tools. This module provides comprehensive technical analysis and quantitative metrics for financial data.
3

4
## Capabilities
5

6
### Technical Indicators
7

8
Comprehensive technical analysis indicators and charting tools.
9

10
```python { .api }
11
def obb.technical.fib(
12
    data: str,
13
    provider: str = None,
14
    **kwargs
15
) -> ResponseObject:
16
    """
17
    Create Fibonacci Retracement Levels.
18
    
19
    Parameters:
20
    - data: Input price data
21
    - provider: Data provider to use
22
    
23
    Returns:
24
    ResponseObject with Fibonacci retracement levels
25
    """
26

27
def obb.technical.demark(
28
    data: str,
29
    provider: str = None,
30
    **kwargs
31
) -> ResponseObject:
32
    """
33
    Calculate the Demark sequential indicator.
34
    
35
    Parameters:
36
    - data: Input price data
37
    - provider: Data provider to use
38
    
39
    Returns:
40
    ResponseObject with Demark sequential data
41
    """
42

43
def obb.technical.relative_rotation(
44
    data: str,
45
    provider: str = None,
46
    **kwargs
47
) -> ResponseObject:
48
    """
49
    Calculate the Relative Strength Ratio and Relative Strength Momentum.
50
    
51
    Parameters:
52
    - data: Input price data
53
    - provider: Data provider to use
54
    
55
    Returns:
56
    ResponseObject with relative rotation data
57
    """
58

59
def obb.technical.atr(
60
    data: str,
61
    provider: str = None,
62
    **kwargs
63
) -> ResponseObject:
64
    """
65
    Calculate the Average True Range.
66
    
67
    Parameters:
68
    - data: Input price data
69
    - provider: Data provider to use
70
    
71
    Returns:
72
    ResponseObject with Average True Range values
73
    """
74

75
def obb.technical.cg(
76
    data: str,
77
    provider: str = None,
78
    **kwargs
79
) -> ResponseObject:
80
    """
81
    Calculate the Center of Gravity.
82
    
83
    Parameters:
84
    - data: Input price data
85
    - provider: Data provider to use
86
    
87
    Returns:
88
    ResponseObject with Center of Gravity values
89
    """
90

91
def obb.technical.clenow(
92
    data: str,
93
    provider: str = None,
94
    **kwargs
95
) -> ResponseObject:
96
    """
97
    Calculate the Clenow Volatility Adjusted Momentum.
98
    
99
    Parameters:
100
    - data: Input price data
101
    - provider: Data provider to use
102
    
103
    Returns:
104
    ResponseObject with Clenow momentum values
105
    """
106

107
def obb.technical.aroon(
108
    data: str,
109
    provider: str = None,
110
    **kwargs
111
) -> ResponseObject:
112
    """
113
    Calculate the Aroon Indicator.
114
    
115
    Parameters:
116
    - data: Input price data
117
    - provider: Data provider to use
118
    
119
    Returns:
120
    ResponseObject with Aroon indicator values
121
    """
122

123
def obb.technical.macd(
124
    data: str,
125
    provider: str = None,
126
    **kwargs
127
) -> ResponseObject:
128
    """
129
    Calculate the Moving Average Convergence Divergence (MACD).
130
    
131
    Parameters:
132
    - data: Input price data
133
    - provider: Data provider to use
134
    
135
    Returns:
136
    ResponseObject with MACD values
137
    """
138
```
139

140
### Quantitative Analysis
141

142
Statistical analysis and quantitative modeling tools for financial data.
143

144
```python { .api }
145
# Quantitative module provides quantitative analysis tools
146
# Note: Specific quantitative functions depend on available implementations
147
# Common quantitative analysis capabilities include:
148
# - Statistical analysis and metrics
149
# - Risk analysis and value-at-risk calculations
150
# - Performance attribution analysis
151
# - Portfolio optimization tools
152
# - Factor analysis and modeling
153
# - Correlation and covariance analysis
154
```
155

156
## Usage Examples
157

158
### Technical Analysis
159

160
```python
161
from openbb import obb
162

163
# Calculate MACD indicator
164
macd_data = obb.technical.macd(data="price_data")
165
macd_df = macd_data.to_dataframe()
166

167
# Calculate ATR (Average True Range)
168
atr_data = obb.technical.atr(data="price_data")
169
atr_df = atr_data.to_dataframe()
170

171
# Calculate Fibonacci retracement levels
172
fib_data = obb.technical.fib(data="price_data")
173
fib_df = fib_data.to_dataframe()
174
```
175

176
### Quantitative Analysis
177

178
```python
179
# Access quantitative analysis tools
180
# (Specific quantitative functions available in the quantitative module)
181
# Example usage pattern would be similar to other modules
182
```
183

184
### Technical Analysis Workflow
185

186
```python
187
# Calculate technical indicators for stocks
188
# Perform statistical analysis on price data
189
# Generate trading signals and alerts
190
```