MQL5 工作: I Need This Killer Strategy To Be Turned Into An EA

描述

指定

Designing and programming a trading strategy for an automated trading robot requires a comprehensive approach that involves several steps:

1. **Define Strategy**: Decide on the trading strategy you want to automate (e.g., moving average crossover, mean reversion, breakout strategies).

2. **Choose Platform**: Select a trading platform or framework that supports automated trading. Examples include MetaTrader (MQL), NinjaTrader (C#), or Python-based platforms like MetaTrader with Python API, or using Python libraries like `backtrader` or `pyalgotrade`.

3. **Coding the Strategy**: Write the code for your strategy. Here's a basic example in Python using the `backtrader` library:

```python

import backtrader as bt

class MyStrategy(bt.Strategy):

def __init__(self):

# Define indicators, parameters, etc.

self.sma_short = bt.indicators.SimpleMovingAverage(self.data.close, period=20)

self.sma_long = bt.indicators.SimpleMovingAverage(self.data.close, period=50)

def next(self):

if self.sma_short > self.sma_long:

# Buy signal

self.buy()

elif self.sma_short < self.sma_long:

# Sell signal

self.sell()

if __name__ == '__main__':

cerebro = bt.Cerebro()

cerebro.addstrategy(MyStrategy)

data = bt.feeds.YahooFinanceData(dataname='AAPL', fromdate=datetime(2020, 1, 1), todate=datetime(2023, 1, 1))

cerebro.adddata(data)

cerebro.run()

cerebro.plot()

```

This example defines a simple moving average crossover strategy and runs it on historical data retrieved from Yahoo Finance.

4. **Backtesting**: Backtest your strategy extensively using historical data to evaluate its performance and fine-tune parameters.

5. **Implement Risk Management**: Integrate risk management techniques such as position sizing, stop-loss orders, and portfolio allocation.

6. **Live Trading**: Once backtesting is satisfactory, connect your strategy to a live trading account through the API provided by your chosen platform.

7. **Monitor and Improve**: Continuously monitor the performance of your automated trading robot and make adjustments as necessary.

Remember, designing effective trading strategies requires a good understanding of both programming and trading principles. Always test thoroughly before deploying any strategy in live trading to mitigate risks.

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项目信息

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30 - 500 USD

截止日期

从 1 到 10 天

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