全部订单
规则
类别中的新订单:
30+ USD
100+ USD
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.
反馈
1
等级
项目
19
16%
仲裁
3
67%
/
0%
逾期
0
空闲
2
等级
项目
253
30%
仲裁
0
逾期
3
1%
空闲
发布者： 2 代码
3
等级
项目
188
57%
仲裁
10
80%
/
0%
逾期
0
工作中
发布者： 1 代码
4
等级
项目
63
52%
仲裁
5
0%
/
40%
逾期
1
2%
空闲
5
等级
项目
18
28%
仲裁
4
50%
/
50%
逾期
1
6%
空闲
6
等级
项目
7
0%
仲裁
8
13%
/
75%
逾期
3
43%
空闲
7
等级
项目
65
34%
仲裁
4
25%
/
50%
逾期
9
14%
工作中
8
等级
项目
6
33%
仲裁
7
0%
/
71%
逾期
0
空闲
9
等级
项目
470
39%
仲裁
102
40%
/
24%
逾期
78
17%
已载入
发布者： 2 代码
10
等级
项目
2
0%
仲裁
4
25%
/
75%
逾期
1
50%
空闲
11
等级
项目
28
29%
仲裁
2
0%
/
50%
逾期
1
4%
空闲
12
等级
项目
91
13%
仲裁
34
26%
/
59%
逾期
37
41%
空闲
相似订单
1.Sinyal Perdagangan : Sinyal beli: garis MACD utama memotong garis sinyal ke atas (macd_current>signal_current && macd_previous<signal_previous). Sinyal jual: garis MACD utama memotong garis sinyal ke bawah (macd_current<signal_current && macd_previous>signal_previous). Gambar di bawah menunjukkan kasus beli dan jual. 2. Posisi ditutup pada sinyal yang berlawanan: Posisi beli ditutup pada sinyal jual, dan posisi
Olá, preciso de um programador para montar um indicador com base na sobrevenda do estocastico, volume macd, para uma estrategia de reversão e falso rompimento com regioes de OB validos minimas e maximas de H1, H4, D1 e canais para confluencias, quero que seja didatico visualmente e com cores, sons de alertas e algum sinal de call ou put como setas indicando reversões e falsos rompimentos e continuidade
项目信息
预算
30 - 500 USD
截止日期
从 1 到 10 天