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Binance_Backtest_BTCUSDT_ICHIMOKU_KS.py
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Binance_Backtest_BTCUSDT_ICHIMOKU_KS.py
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# Python Binance API doc : https://python-binance.readthedocs.io/en/latest/
# Original work (Crypto Robot) : https://www.youtube.com/watch?v=_gNIWHh539A
# Binance fees : https://www.binance.com/en/fee/schedule
# STRATEGY :
# WHEN CLOSE PRICE GETS OVER KIJUN SEN : BUY
# WHEN CLOSE PRICE GETS UNDER KIJUN SEN : SELL
import pandas as pd
from binance.client import Client
import ta
klinesT = Client().get_historical_klines("BTCUSDT", Client.KLINE_INTERVAL_1DAY, "01 June 2021")
df = pd.DataFrame(klinesT, columns=['timestamp', 'open', 'high', 'low', 'close', 'volume', 'close_time', 'quote_av', 'trades', 'tb_base_av', 'tb_quote_av', 'ignore'])
# [[
# 1499040000000, // Open time
# "0.01634790", // Open
# "0.80000000", // High
# "0.01575800", // Low
# "0.01577100", // Close
# "148976.11427815", // Volume
# 1499644799999, // Close time
# "2434.19055334", // Quote asset volume
# 308, // Number of trades
# "1756.87402397", // Taker buy base asset volume
# "28.46694368", // Taker buy quote asset volume
# "17928899.62484339" // Ignore.
# ]]
del df['ignore']
del df['close_time']
del df['quote_av']
del df['trades']
del df['tb_base_av']
del df['tb_quote_av']
df['close'] = pd.to_numeric(df['close'])
df['high'] = pd.to_numeric(df['high'])
df['low'] = pd.to_numeric(df['low'])
df['open'] = pd.to_numeric(df['open'])
df = df.set_index(df['timestamp'])
df.index = pd.to_datetime(df.index, unit='ms')
# https://technical-analysis-library-in-python.readthedocs.io/en/latest/ta.html#trend-indicators
# df['SMA200'] = ta.trend.sma_indicator(df['close'], 200)
# df['SMA600'] = ta.trend.sma_indicator(df['close'], 600)
df['ICH_SSA'] = ta.trend.ichimoku_a(df['high'], df['low'])
df['ICH_SSB'] = ta.trend.ichimoku_b(df['high'], df['low'])
df['ICH_KS'] = ta.trend.ichimoku_base_line(df['high'], df['low'])
df['ICH_TS'] = ta.trend.ichimoku_conversion_line(df['high'], df['low'])
print(df)
# backtest
usdt = 1000
btc = 0
lastIndex = df.first_valid_index() # https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.first_valid_index.html
for index, row in df.iterrows():
if df['close'][lastIndex] > df['ICH_KS'][lastIndex] and usdt > 10:
btc = usdt / df['close'][index]
btc = btc - 0.0075 * btc
usdt = 0
print("Buy BTC at", df['close'][index], '$ the', index)
if df['close'][lastIndex] < df['ICH_KS'][lastIndex] and btc > 0.0001:
usdt = btc * df['close'][index]
usdt = usdt - 0.0075 * usdt
btc = 0
print("Sell BTC at", df['close'][index], '$ the', index)
lastIndex = index
finalResult = usdt + btc * df['close'].iloc[-1] # https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html
print("Final result", finalResult, "USDT")
buyAndHoldResult = (1000 / df['close'].iloc[0]) * df['close'].iloc[-1]
print("Buy and hold result", buyAndHoldResult, "USDT")