Need a Scala/Java developer with ML knowledge to create a trading algorithm that used to buy and sell on various time frames. Accuracy needed is 98% and above. The algorithm need to be preferment for low and high time frames and well back-tested. The main goal is to catch every price bounce with buy and sell signals. This is mainly for Crypto trading and only interested in long signals
I am looking for an algorithm they predicts buy and sell on various time frames (1m,5, 10m, 15m, ..., etc) with a minimum of 90% accuracy if not higher.
The algorithm need to be preferment for low and high time frames and well back-tested. The main goal is to catch every price bounce with buy and sell signals.
only interested in long signals
The algorithm focuses on Cypto market only
The algorithm needs to be tested with 2 different coins (excepts BTC)
- Back test for various time frames
- Live test/trades
- Dashboard for both backtest and live trades to show me how the algo is performing
Price is negotiable based on the produced algorithms. Willing to pay for performant algorithms
See attached picture as an example
***Crypto trading algorithm .. Machine learning (Scala/Java) -- 4***
Greetings,
Based on your job post, I can create a trading algorithm that used to buy and sell on various time frames. We can discuss over chat for better understanding also I can share my work details/portfolio.
Areas of expertise:-
Java
Algorithm
Machine Learning (ML)
Scala
Balustrading
Looking forward to working together.
Thanks & Regards
Virang
Note:- Please note that this a placeholder proposal, we can be more specific once we get all the requirements and information required to execute the project.
⭐I am a Senior Developer with prove experience in such expertise area(C, Python, Algorithm).⭐
I would be delighted to work for you as this is something I am very experienced with and have a huge confidence of completing your project.
You will get perfect result with high-quality and latest-standard format in the nearest time .
I'd like to chat earnestly more about the project.
Best regards.
Bohdan.