Completed

NinjaTrader Strategy

Create a NinjaTrader Strategy.

For Selling

1. Sell Signal. Read a signal from a file that denotes a specific time.

- File format can be determined by you, It will contain the position direction and the time in HH:MM

- Directory location of file must be configurable within strategy.

2. Closing price of bar below specified EMA required

- Must be configurable within strategy

3. Entry at close price of time signal bar i.e. 13:31

- Order Type must be configurable i.e. LMT STP-LMT MKT MIT

4. Stop 1.5 ATR (7 previous bars)

- Must be configurable within strategy

5. Exit position with MKT order at close of time buy signal (read from file)

6. Write result of trade to file.

- Entry Time 06/14/2022 19:45

- Entry Price

- Exit Time 06/14/2022 20:04

- Stop Loss Price

- Market Position (Long / Short)

- Profit from trade in currency i.e. -200 or + 345

- Quantity of Contracts i.e. 1 or 3

- MAE

- MFE

- File Name and configurable directory i.e. C:\Trades\ES_StrategyResult in CSV

For Buying

1. Buy Signal. Read a signal from a file that denotes a specific time.

- File format can be determined by you, It will contain the position direction and the time in HH:MM

- Directory location of file must be configurable within strategy.

2. Closing price of bar is above specified EMA required

- Must be configurable within strategy

3. Entry at close price of time signal bar i.e. 13:31

- Order Type must be configurable i.e. LMT STP-LMT MKT MIT

4. Stop 1.5 ATR (7 previous bars)

- Must be configurable within strategy

5. Exit position with MKT order at close of time buy signal (read from file)

6. Write result of trade to file.

- Entry Time 06/14/2022 19:45

- Entry Price

- Exit Time 06/14/2022 20:04

- Stop Loss Price

- Market Position (Long / Short)

- Profit from trade in currency i.e. -200 or + 345

- Quantity of Contracts i.e. 1 or 3

- MAE

- MFE

- File Name and configurable directory i.e. C:\Trades\ES_StrategyResult in CSV

Skills: Trading, C# Programming

About the Client:
( 8 reviews ) Sydney, Australia

Project ID: #34334291

Awarded to:

akuntysh

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