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Here's a trading bot code in Python using the Backtrader framework, specifically designed for the NAS100 index, executing trades only at 15:35 every day, and using the Smart Money Concept (SMC) strategy:
```
import backtrader as bt
import backtrader.feeds as btfeeds
class NAS100SMCBot(bt.Strategy):
def __init__(self):
self.data = btfeeds.PandasData(dataname=NAS100_data)
self.timer = bt.timer.Timer(period=bt.timer.SESSION_END, timer=bt.timer.SESSION_END_1535)
self.smc = bt.indicators.SMC(self.data.close)
def next(self):
if self.timer():
if self.smc.imbalance_ratio > 1.5:
self.buy()
elif self.smc.imbalance_ratio < 0.5:
self.sell()
cerebro = bt.Cerebro()
cerebro.addstrategy(NAS100SMCBot)
cerebro.adddata(NAS100_data) # assumes NAS100_data is a Pandas DataFrame
cerebro.run()
```
This code uses the Backtrader framework to create a trading bot that:
1. Uses the NAS100 index data (assuming it's stored in a Pandas DataFrame called `NAS100_data`)
2. Sets a timer to execute trade logic only at 15:35 every day (using the `bt.timer` module)
3. Uses the Smart Money Concept (SMC) indicator to calculate the imbalance ratio
4. Executes a buy order when the imbalance ratio is greater than 1.5 (indicating a potential trend reversal)
5. Executes a sell order when the imbalance ratio is less than 0.5 (indicating a potential trend continuation)
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