scheithauer

plot <- gapminder %>% 
  filter(year == 2007) %>% 
  ggplot() +
  labs(
    x = "GDP per Capita",
    y = "Life Expectancy",
    color = "Population in millions",
    size = "Population in millions"
  ) +
  theme_minimal()

scheithauer

#install.packages(c("tidyverse", "gapminder", "MetBrewer"))
library(tidyverse)
library(gapminder)
library(MetBrewer)

scheithauer

fig = (
    go.Figure(
        data = [
            go.Candlestick(
                x = df_klines['opentime'],
                open = df_klines['open'],
                high = df_klines['high'],
                low = df_klines['low'],
                close = df_klines['close']
            )

scheithauer

klines = client.get_historical_klines("BNBBTC", Client.KLINE_INTERVAL_1HOUR, "1 day ago UTC")
df_klines = pd.DataFrame(klines) 
df_klines.columns = ['opentime', 'open', 'high', 'low', 'close', 'volume', 'closetime', 'quoteassetvolume', 'numberoftrades', 'tbuybase', 'tbuyquote', '_'] 
df_klines

scheithauer

{'symbol': 'BNBBTC',
 'priceChange': '0.00144900',
 'priceChangePercent': '20.912',
 'weightedAvgPrice': '0.00792562',
 'prevClosePrice': '0.00692800',
 'lastPrice': '0.00837800',
 'lastQty': '0.38000000',
 'bidPrice': '0.00837700',
 'bidQty': '54.80400000',
 'askPrice': '0.00837800',

scheithauer

ticker = client.get_ticker(symbol = "BNBBTC") 
ticker

scheithauer

tickers = client.get_ticker() 
pd.DataFrame(tickers)

scheithauer

{'mins': 5, 'price': '0.00835585'}

scheithauer

client.get_avg_price(symbol = "BNBBTC")

scheithauer

{'symbol': 'BNBBTC',
 'status': 'TRADING',
 'baseAsset': 'BNB',
 'baseAssetPrecision': 8,
 'quoteAsset': 'BTC',
 'quotePrecision': 8,
 'quoteAssetPrecision': 8,
 'baseCommissionPrecision': 8,
 'quoteCommissionPrecision': 8,
 'orderTypes': ['LIMIT',