Back

Some Beginner issues

Hi, I just joined new and I struggle to get started. I wanted to build a Renko based strategy. Actually I don't care too much in which language, but I get confused because all the languages are mixed in here. I think there would be some optimization potential, so I just wanted to output what I think as new joiner, which might help you to structure the portal better.

* If I search in the forum for "Renko" I will get some results for C Sharp, some for F, and less for Python. Usually it helps to look at code samples of the same language to figure out how things fit together, but as all languages are mixed in the same forum, it's really difficult to do that. It would be appreciated, if there would be a secluded forum for each programing language, or just one language would be offered.

* If I search for solutions on the internet, I find outdated solutions.

* It seems that the solutions offered are not at the same stage in all the programming languages. There are some entries, which tell that Renko is not possible at all, others have some code samples, which code Renko from scratch, others seem to use consolidators. If I search in the reference manual I can't seem to find any information. 

* There are many outdated entries in the forum, as there are more features added. It would make sense that when adding a forum entry, the language and version would be added, and one could filter based on that. It would make things much easier and clearer.

* Code completion doesn't seem to work for everything.

* I personally find the learning curve pretty heavy, to implemement a simple strategy based on Renko. In Pine editor of Tradingview I coded my Renko strategy within 1 hour, after starting working with Pine. The problem with TradingView of course again is, that I can't LiveTrade. I also don't know if the backtesting is really accurate.

I don't know if I might not have figured it all out, it's very well possible, that I'm a stupid user. But then again I guess, a portal will be more successful, if it can cater for the 80% of us stupid users :)

Update Backtest








there are some algos already in the community that people can clone and learn a little bit at least from that.

but the best stuff to learn is from the sample algos provided by the quantconnect team.

so maybe giving you the link to the python and c# example algos would help you more. (i think you already found it)

Also check the renko example algo

python & c#

https://github.com/QuantConnect/Lean/tree/master/Algorithm.Pythonhttps://github.com/QuantConnect/Lean/tree/master/Algorithm.CSharp

renko python & c#

https://github.com/QuantConnect/Lean/blob/master/Algorithm.Python/RenkoConsolidatorAlgorithm.py

 

https://github.com/QuantConnect/Lean/blob/master/Algorithm.CSharp/RenkoConsolidatorAlgorithm.cs

 

maybe it helps you a littlebit

0

Thanks, yes, saw these samples. Invested another day to see if I can get something working. But for me the learning curve of the platform is just too high, and documentation is not too less, but it's just incredibly difficult to find what I'm looking for. Wanted to switch to C# Bootcamp, but somehow I was stuck with Python. Maybe QuantConnect and me have to mature first, to find a good symbioses. But thanks for the feedback.

0

Update Backtest





0

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


Loading...

This discussion is closed