Mercor Developer Spotlight — New Partnerships
The Mercor platform is expanding and we are thrilled to welcome several new developers to its ranks. Each of these individuals/parties brings with them a wealth of knowledge and experience in creating advanced trading algorithms. We look forward to the immense value they will provide the Mercor community with.
Bot Capital Inc
Bot Capital’s focus on algorithmic trading has allowed them to develop proprietary algorithms designed to protect traders from unexpected drawdowns in the market. The team is best-known for its successful Eth Trading Strategy and BTC Trading Strategy, which focuses on automated strategies based on technical and statistical trend analysis. These algorithms recorded returns of over 3000% (ETH) and 400% (BTC) YTD, with just 0,05% in fees and no leverage.
When asked about deploying their algorithms on the Mercor platform, they had this to say:
“Bot Capital is currently engaging with several platforms, and Mercor appears to be by far the most advanced and interesting from a technical standpoint”
SW Capital
Founded in 2014, SW Capital has been a pioneer in implementing quantitative investing in the crypto markets and has succeeded in outperforming the market by several orders of magnitude. This was achieved with groundbreaking technology and investment strategies that have garnered much attention and respect in algorithmic developer circles. Their response, when asked about the importance of AI and Machine Learning, was concise and lines up wholly with our vision:
“We believe that artificial intelligence will offer the most consistent, long-term outperformance in all financial markets. Every day our algorithms process terabytes of data, ranging from market data and social media posts to activity on the blockchain. Patterns and correlations in this data, which can not be observed by the human eye, let our algorithms classify the direction of the market, volatility, and risk.”
Andre
Andre brings a wealth of experience in Sentiment Analysis and Long/Short Strategies using Supervised Machine Learning to the Mercor team. The former utilizes natural language processing (NLP) techniques to analyze a wide range of data from various sources (Twitter, news articles, research papers, blogs), and determine whether the feedback or sentiment around a specific asset is positive or negative. The latter requires machine learning to predict the change in the price of the asset in question.
His views on Mercor are as follows:
“Mercor reminds me a bit of the early days of platforms such as Quantopian, which was considered a Gold Standard of quantitative trading resources. My hopes for the platform is to be able to utilize more resources for different asset classes such as equities, futures, FOREX, and fixed income.”
Ethklein
Ethklein is no stranger to developing effective statistical arbitrage trading strategies in several asset classes. His experience as a quantitative developer has landed him positions at large investment banks and a quantitative hedge fund. His systematic approach to market making relies on good inventory and hedging.
He did not hide his enthusiasm when asked about joining the Mercor Beta:
“Very excited to join the beta phase of the Mercor environment as a developer!”
We’re also very excited to have him on board.
Grinder
Grinder is a quantitative strategist and algorithm developer that dedicates his time to creating low-risk algorithms that deliver consistent gains over time. He largely utilizes a combination of mean reversal, trend following, and breakout strategies when developing his algorithms, but does not neglect various arbitrage, market making, or basket strategies when the opportunity to utilize them arises.
He brings over 15 years of experience in Java, Python, Pinescript, R, C++. and has executed thousands of live trades. He looks to Mercor as a way to further develop his craft and had the following to say about joining the beta:
“Mercor is an innovative platform where I can streamline two of my already optimized processes even further: the modeling process and the process of connecting with investors.”
Verhulst
Named after the famous 19th-century Belgian mathematician, Verhulst earned his engineering degree in Canada and has over 7 years of experience working in quantitative research and trading. His focus is centered heavily around developing momentum-based trading models through the use of various machine learning algorithms. He also plans to build a grid strategy that takes into account factors such as historical volatility, probability density functions, and expected value, before placing a trade.
Verhulst had this to say about the Mercor platform:
“I think Mercor is a great platform, allowing people to really take control of their financial future. By providing developers a way to showcase their skills and creativity, and allowing the individual investor access to trading models that are researched and developed by great traders.”
All-Star Algorithm Developers to Empower Our Community
Ultimately, the goal of bringing on these talented developers is to provide our community with access to the best minds in the industry. In doing so, we can shift the balance of power that large institutions have enjoyed for too long and democratize algorithmic trading.
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