# stock-analysis

**Repository Path**: the_machine/stock-analysis

## Basic Information

- **Project Name**: stock-analysis
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 1
- **Created**: 2019-11-27
- **Last Updated**: 2023-09-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# stock-analysis: 1.2.0

# Stock analysis

## Usage

```python
from stock_analysis import stock

stock_price = pd.read_csv('sample_data.csv', index_col=None, dtype={'trade_date': str})
stock = stock.Stock(data=stock_price)
```
### Moving Average

#### Simple Moving Average

```python
# get result in dataframe
ma_x, ma_y = stock.simple_moving_average(value='low', n=5, ret_list=True)

# plot
ma_line = Line(xdata=ma_x, ydata=ma_y, color='r', zorder=15)
fig, ax = stock.plot(kind='line', value='low')
ax.add_line(ma_line.get_line2d())
```

#### Identify highs and lows (with visualization)

```python
stock_price = pd.read_csv('sample_data.csv', index_col=None, dtype={'trade_date': str})\
              .sort_values('trade_date')\
              .reset_index(drop=True)
s = Stock(data=stock_price)
s2 = VisStock(stock_obj=s)

h, l = s.get_local_high_and_low(value='low')

x, y = s.dates_to_points(dates=h, value='low')
x2, y2 = s.dates_to_points(dates=l, value='low')
```


### Visualization

Candlestick

```python
stock.plot()
```
![](docs/images/candlestick.png)

Support line
```python
# Create a canvas
c = s.create_canvas(figsize=(30, 10))
# Add support line: price, start/end date
c.add_support_line(92, 20201228, 20210416)
# Plot stock price and the support line
c.draw()
```

Line with reflection point

```python
stock.plot(kind='line', show_reflection_point=True)
```
![](docs/images/highs_and_lows.png)

Moving average

```python
from stock_vis.line import Line

# get line x, y
ma_x, ma_y = stock.simple_moving_average(value='low', n=5, ret_list=True)
ma_line = Line(xdata=ma_x, ydata=ma_y, color='r', zorder=15)

# add line to an axes
fig, ax = stock.plot(kind='line', value='low')
ax.add_line(ma_line.get_line2d())
```
![](docs/images/sma.png)


# TSWrapper

Tushare data dictionary


```python
from tswrapper import tsmeta
tsmeta.list_api()[:5]
a = tsmeta.get_api_desc('monthly')
print(a)
```