cTrader Neptune Strategy Help

Paolitrad

Hi,
I bought the Neptune code and I would like to know if it was possible to obtain it directly from the program? Or a PDF that explains the different optimizer parameters?

Sophia

Hi, I will try to help you.

What do you mean by obtain it directly from the program?

All the parameters are explained in the user guide.

Paolitrad

the program directly constituted and not by part

Paolitrad

and in the guide it does not explain each indicator for optimizers, that's why I asked if there was a pdf that explains each line of the 60 optimizers

Sophia

Thank you for your message.

The Neptune system includes 10 separate cBots, each with its unique logic and design. The source code is structured this way intentionally to support ongoing maintenance, improve readability, and make it easier to update or add new features in the future.

As a result, the code is not delivered as a single, combined file. Each cBot is a standalone program with its own optimiser parameters and trading logic. This modular structure is typical in professional trading system development, especially when managing multiple strategies.

Sophia

The Neptune system uses a large number of optimiser parameters, many of which are numerical weights that influence the behaviour of the underlying indicators. These weights are not fixed inputs with specific labels or standard meanings. Still, they are designed to be adjusted by cTrader's optimisation engine to find the best configuration for a particular market condition or instrument.

As such, we do not provide a PDF guide explaining each of the 60 optimiser parameters line-by-line. These values are intentionally generic to support dynamic optimisation, they do not correspond to individually documented inputs like a moving average period or RSI threshold.

To get the most out of Neptune, we recommend using the built-in cTrader optimisation tool to run backtests and identify the most effective parameter set for your trading scenario. This is the intended way to work with these strategies.

If you need help running the optimiser or interpreting results, we'd be happy to assist further.

Paolitrad

ok I understand my goal is not to modify the code but simply to find the best optimization parameters to have regular results on my real or demo account, I do intraday so I trade in m15, I saw that in the guide we were rather on swing trading with an H2 timeframe, however my goal is to validate my challenge in propfirm so I need to have more trades. Currently I optimize every 2 months to trade the following month, I also optimized over 2 years to see if the robot was robust. My question is if my strategy seems coherent to you?

Paolitrad

and I also noticed once optimization is finished, that the best parameter is not necessarily the one that gives better results for the backtest of the following month, so I am in the process of recovering data to know if I should choose between the 1st parameter, the 2nd or the 3rd, to know which one to choose for the following month

algoman

Your approach is logical, using M15 for intraday trading will naturally generate more trade opportunities than the H2 swing trading examples shown in the guide, which makes sense for your prop firm challenge. Optimising every 2 months for the following month is also a reasonable cycle, as it keeps the parameters in line with recent market conditions while still providing some stability.

What you've noticed about the best optimisation result not consistently producing the best forward-month performance is common. Backtests are excellent for identifying promising parameter sets. Still, they can also “overfit” to the historical data, meaning that small market changes can cause the top result to perform worse out-of-sample. This is why many traders also test the 2nd- or 3rd-best optimisation sets; sometimes these slightly less “perfect” historical results can prove more stable in the future.

Suppose you're gathering data to compare which rank (1st, 2nd, 3rd, etc.) tends to produce the best forward results. In that case, you're essentially building your walk-forward optimisation process, which is a robust and well-respected method in systematic trading. Keep in mind that in rapidly changing markets, no single set will be optimal for long, so tracking and adapting over time is key.

By using this site, you agree to our community support policy. We reserve the right to moderate content that is abusive, defamatory, or factually incorrect.

ClickAlgo is an independent software vendor and is not affiliated with, endorsed by, or associated with Spotware Systems Ltd. ‘cTrader’ is a registered trademark of Spotware Systems Ltd., used here for descriptive purposes only.