Mikel Samanes

Quantitative Developer & Researcher/Crypto Onchain

Contabilidad / Finanzas

Barcelona, Barcelona

Servicios ofrecidos

Telecommunication engineer with experience in the data, finance and trading industry. Specially in crypto and onchain data.

My interest in trading and finance started while a was working for a big company. I had a technical support position and my job allowed for a lot of free time that I use to learn trading and Python on Quantopian.

Soon I realized that what I wanted to invest in, cryptoassets, were not yet available on Quantopian and I started playing around with TradingView and a solution I helped to develop to trade my own signals from TradingView.

Now I'm a recognized Pine Wizard, I have created many trading strategies, models, and indicators in Pine, and helped many develop their ideas and strategies. About 3 years ago, I decided to move to Zorro Project (C++) where I can optimize automatically my strategies parameters and do calcs and backtests faster.

I'm also a data science learner or aficionado, I use Python to create the data pipelines and be able to massage the data, and do quantitative and portfolio analysis. I also did a master program on Blockchain Technology to learn more about it and even coded a project on Solidity.

My love for technical analysis, statistics, macro-finance and my background in math and engineering allows me to be a great quant and portfolio manager. And right now, I work for a fund where I manage a portfolio of strategies, and build indicators and strategies out of onchain data.

Trader

Quantitative developer

Data scientist

Tarifa aproximada: 60 € por hora

Experiencia

I'm a data scientist, quant developer and quant researcher, with experience in onchain data.
I build models, indicators, and strategies, with data that we buy or collect online like: price, onchain data, sentiment, etc. First is to build the indicators most from onchain, then to quantify them, and last to take decisions.
I manage and write the algorithmic trading strategies of the fund, which are all automatic quant trading strategies.
I've built a dashboard to help the company, it detect tops and bottoms in short and long time-frames, a regime filter to assess the cycle of the market, and a fair price model of models of crypto assets.
I write an email every week to share the insights from the models and indicators I've created.
Sharing the results and analysis of our trades and portfolio
I also comment on my perspective on the market.I'm a data scientist, quant developer and quant researcher, with experience in onchain data. I build models, indicators, and strategies, with data that we buy or collect online like: price, onchain data, sentiment, etc. First is to build the indicators most from onchain, then to quantify them, and last to take decisions. I manage and write the algorithmic trading strategies of the fund, which are all automatic quant trading strategies. I've built a dashboard to help the company, it detect tops and bottoms in short and long time-frames, a regime filter to assess the cycle of the market, and a fair price model of models of crypto assets. I write an email every week to share the insights from the models and indicators I've created. Sharing the results and analysis of our trades and portfolio I also comment on my perspective on the market.

Aptitudes: Criptomoneda · Finanzas · Optimización · Reconocim

Educación

Developed more than 50 trading indicators and models for all markets in Pine.
Created many profitable trading strategies, from trend-following, to breakout strategies, accumulation strategies with correct position sizing and selling, mean reversion strategies, etc.
Written strategies and indicators on Zorro Project for automated parametrization/optimization of strategies, walk forward backtesting and Monte Carlo analysis of strategies.
Member of the top 50 developers on TradingView, collaborating with TradingView on new features and requests.
Pine coder for hire, worked with many people to help them develop their own strategies/indicators and automate them.
Used Python to create data pipelines to obtain and transform the data, to make it ready for the trading platforms.
Performed market portfolio analysis with Python on Pyfolio, correlation analysis, distribution and factor testing.
Contributed to an open source project in JavaScript to automate trading orders from TradingView using a Chrome extension.
Helped develop a smart contract, a compensation pool of the credits provided for EthicHub a blockchain startup.