Фриланс-сервис на MQL5.com: Serene Thrill EA

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Техническое задание

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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