資料視覺化

FinLab 提供一系列圖表工具，讓你更方便洞察市場數據！

colab 範例檔案連結

In [1]:

%%capture
!pip install finlab > log.txt
!pip install talib-binary > log.txt

%%capture !pip install finlab > log.txt !pip install talib-binary > log.txt

技術指標圖組¶

In [5]:

from finlab.plot import plot_tw_stock_candles
from talib import abstract
from finlab.data import indicator

stock_id = '2330'  # @param {type:"string"}
recent_days = 1000  # @param {type:"slider", min:200, max:6000, step:1}
adjust_price=False #@param ["False", "True"] {type:"raw"}
resample="D"#@param ["D", "W","M"] {allow-input: true}

overlay_func={
              'ema_5':indicator('EMA',timeperiod=5),
              'ema_10':indicator('EMA',timeperiod=10),
              'ema_20':indicator('EMA',timeperiod=20),
              'ema_60':indicator('EMA',timeperiod=60),
              }
k,d = indicator('STOCH')
rsi = indicator('RSI')
technical_func = [{'K':k,'D':d},{'RSI':rsi}]
plot_tw_stock_candles(stock_id,recent_days,adjust_price,resample,overlay_func=overlay_func,technical_func=technical_func)

from finlab.plot import plot_tw_stock_candles from talib import abstract from finlab.data import indicator stock_id = '2330' # @param {type:"string"} recent_days = 1000 # @param {type:"slider", min:200, max:6000, step:1} adjust_price=False #@param ["False", "True"] {type:"raw"} resample="D"#@param ["D", "W","M"] {allow-input: true} overlay_func={ 'ema_5':indicator('EMA',timeperiod=5), 'ema_10':indicator('EMA',timeperiod=10), 'ema_20':indicator('EMA',timeperiod=20), 'ema_60':indicator('EMA',timeperiod=60), } k,d = indicator('STOCH') rsi = indicator('RSI') technical_func = [{'K':k,'D':d},{'RSI':rsi}] plot_tw_stock_candles(stock_id,recent_days,adjust_price,resample,overlay_func=overlay_func,technical_func=technical_func)

漲跌幅與成交金額板塊圖¶

巢狀樹狀圖可以顯示多維度資料，並與圖表做互動，將依照產業分類的台股資料絢麗顯示。

In [ ]:

from finlab.plot import plot_tw_stock_treemap

start= '2021-07-01' #@param {type:"date"}
end = '2021-07-02' #@param {type:"date"}
area_ind="turnover" #@param ["market_value","turnover"] {allow-input: true}
item="return_ratio" #@param ["return_ratio", "turnover_ratio"] {allow-input: true}
plot_tw_stock_treemap(start,end,area_ind,item)

from finlab.plot import plot_tw_stock_treemap start= '2021-07-01' #@param {type:"date"} end = '2021-07-02' #@param {type:"date"} area_ind="turnover" #@param ["market_value","turnover"] {allow-input: true} item="return_ratio" #@param ["return_ratio", "turnover_ratio"] {allow-input: true} plot_tw_stock_treemap(start,end,area_ind,item)

輸入成功!

WARNING:finlab.data:price:收盤價 -- Daily data usage: 113.8 / 5000 MB
WARNING:finlab.data:company_basic_info -- Daily data usage: 114.7 / 5000 MB
WARNING:finlab.data:price:成交金額 -- Daily data usage: 149.3 / 5000 MB

本益比與市值板塊圖¶

In [ ]:

from finlab.plot import plot_tw_stock_treemap

plot_tw_stock_treemap(start='2021-07-01',end='2021-07-02',area_ind="market_value",item="price_earning_ratio:本益比",clip=(0,50), color_continuous_scale='RdBu_r')

from finlab.plot import plot_tw_stock_treemap plot_tw_stock_treemap(start='2021-07-01',end='2021-07-02',area_ind="market_value",item="price_earning_ratio:本益比",clip=(0,50), color_continuous_scale='RdBu_r')

輸入成功!

WARNING:finlab.data:price:收盤價 -- Daily data usage: 1092.5 / 5000 MB
WARNING:finlab.data:company_basic_info -- Daily data usage: 1093.4 / 5000 MB
WARNING:finlab.data:price:成交金額 -- Daily data usage: 1128.0 / 5000 MB
WARNING:finlab.data:price_earning_ratio:本益比 -- Daily data usage: 1142.3 / 5000 MB

財務指標雷達圖¶

比較持股組合的指標分級特性。

In [ ]:

from finlab.plot import plot_tw_stock_radar

portfolio = "1101,2330,8942,6263" #@param {type:"string"}
portfolio = portfolio.split(',')
mode = "bar_polar" #@param ['line_polar','bar_polar','scatter_polar'] {allow-input: true}
line_polar_fill='None' #@param ['toself','tonext','None'] {allow-input: true}
if line_polar_fill is "None":
    line_polar_fill=None
plot_tw_stock_radar(portfolio=portfolio,mode=mode,line_polar_fill=line_polar_fill)

from finlab.plot import plot_tw_stock_radar portfolio = "1101,2330,8942,6263" #@param {type:"string"} portfolio = portfolio.split(',') mode = "bar_polar" #@param ['line_polar','bar_polar','scatter_polar'] {allow-input: true} line_polar_fill='None' #@param ['toself','tonext','None'] {allow-input: true} if line_polar_fill is "None": line_polar_fill=None plot_tw_stock_radar(portfolio=portfolio,mode=mode,line_polar_fill=line_polar_fill)

In [ ]:

from finlab.plot import plot_tw_stock_radar
feats = ['fundamental_features:營業毛利率', 'fundamental_features:營業利益率', 'fundamental_features:稅後淨利率',
          'fundamental_features:現金流量比率', 'fundamental_features:負債比率']
plot_tw_stock_radar(portfolio=["9939"], feats=feats, mode="line_polar", cut_bins=8)

from finlab.plot import plot_tw_stock_radar feats = ['fundamental_features:營業毛利率', 'fundamental_features:營業利益率', 'fundamental_features:稅後淨利率', 'fundamental_features:現金流量比率', 'fundamental_features:負債比率'] plot_tw_stock_radar(portfolio=["9939"], feats=feats, mode="line_polar", cut_bins=8)

本益比河流圖¶

使用 PE or PB 的最高與最低值繪製河流圖，判斷指標所處位階。

In [ ]:

from finlab.plot import plot_tw_stock_river
plot_tw_stock_river(stock_id='2330', start='2015-1-1', end='2022-7-1', mode='pe', split_range=10)

from finlab.plot import plot_tw_stock_river plot_tw_stock_river(stock_id='2330', start='2015-1-1', end='2022-7-1', mode='pe', split_range=10)

策略部位旭日圖¶

監控多策略。

In [ ]:

from finlab.plot import StrategySunburst

# 實例化物件
strategies = StrategySunburst()
strategies.plot().show()

from finlab.plot import StrategySunburst # 實例化物件 strategies = StrategySunburst() strategies.plot().show()