Streak me strategy laga kar streak me alag se dikh jaay #205
Description
from kiteconnect import KiteConnect
import pandas as pd
import numpy as np
import datetime
Zerodha API Credentials
api_key = s57ekpdsxxu6a1x4ldapvafx7lb1j1kj
api_secret = pom72uaolkby7us4
access_token = 237965
kite = KiteConnect s57ekpdsxxu6a1x4ldapvafx7lb1j1kj
kite.set_access_token 011648
Parameters
symbol = "NSE:RELIANCE" # Example: Reliance
quantity = 1
target_percent = 5 # 5% Daily Target
stop_loss_percent = 2 # 2% Stop-Loss
Fetch Historical Data
def fetch_historical_data(symbol, days=5):
end_date = datetime.datetime.now()
start_date = end_date - datetime.timedelta(days=days)
interval = "15minute" # You can change to 5minute/1hour/day
data = kite.historical_data(
instrument_token=kite.ltp(symbol)[symbol]["instrument_token"],
from_date=start_date,
to_date=end_date,
interval=interval,
)
df = pd.DataFrame(data)
df["date"] = pd.to_datetime(df["date"])
df.set_index("date", inplace=True)
return df
Moving Average Crossover Strategy
def moving_average_strategy(df, short_window=5, long_window=20):
df["short_ma"] = df["close"].rolling(window=short_window).mean()
df["long_ma"] = df["close"].rolling(window=long_window).mean()
df["signal"] = np.where(df["short_ma"] > df["long_ma"], 1, -1) # 1=Buy, -1=Sell
return df
Execute Trade
def execute_trade(signal, symbol, quantity):
ltp = kite.ltp(symbol)[symbol]["last_price"]
if signal == 1: # Buy
target_price = ltp * (1 + target_percent / 100)
stop_loss_price = ltp * (1 - stop_loss_percent / 100)
print(f"BUY ORDER: {symbol} at {ltp}")
print(f"Target: {target_price}, Stop-Loss: {stop_loss_price}")
# Uncomment below to place real order
# kite.place_order(
# tradingsymbol=symbol.split(":")[1],
# exchange=symbol.split(":")[0],
# transaction_type="BUY",
# quantity=quantity,
# order_type="LIMIT",
# price=ltp,
# product="MIS",
# validity="DAY",
# )
elif signal == -1: # Sell
target_price = ltp * (1 - target_percent / 100)
stop_loss_price = ltp * (1 + stop_loss_percent / 100)
print(f"SELL ORDER: {symbol} at {ltp}")
print(f"Target: {target_price}, Stop-Loss: {stop_loss_price}")
# Uncomment below to place real order
# kite.place_order(
# tradingsymbol=symbol.split(":")[1],
# exchange=symbol.split(":")[0],
# transaction_type="SELL",
# quantity=quantity,
# order_type="LIMIT",
# price=ltp,
# product="MIS",
# validity="DAY",
# )
Main Algo Logic
def run_algo():
df = fetch_historical_data(symbol)
df = moving_average_strategy(df)
latest_signal = df["signal"].iloc[-1]
execute_trade(latest_signal, symbol, quantity)
if name == "main":
run_algo() Rakhi strategy