by Nicholas Mitsakos | Algorithmic Trading, Artificial Intelligence, Book Chapter, Finance, Financial Technology, Investment Principles, The Market, Writing and Podcasts
Volatile stock and bond markets are not going away anytime soon, and investment strategies focused on discipline, market-tested algorithms, and the patience to withstand near-term turbulence will continue to deliver better results. As US stocks have dropped about 25% and US long-term treasuries dropped nearly 30%, specific strategies that combine futures, derivatives, and other securities along with market-neutral equity trading have produced superior returns. This impressive overall performance can be expected to profit from market movements and even market shocks that, while specifically unpredictable, will be inevitable from now on. In the face of dismal predictability and lack of confidence, it is discipline, time-tested algorithms, and a multi-strategy perspective toward broad market sectors that have outperformed and will continue to deliver superior risk-adjusted returns and better overall performance.
by Nicholas Mitsakos | Algorithmic Trading, Artificial Intelligence, Financial Technology, Investment Principles, Investments, irrationality, The Market, Writing and Podcasts
Let the data tell the story. Remove human bias. Intuitive investment ideas may seem compelling, but more often, these ideas are time-consuming, inefficient, and inferior. Data and verification are more effective, and this approach has generated more successful investment strategies. Diverse thinking, diverse data, innovative approaches, and a willingness to be wrong and start over typically bring superior results. Trust the model. Data, discipline, and rigor win more often.
by Rocky Phagura | Algorithmic Trading, Artificial Intelligence, Financial Technology, Investment Principles, Technology, Writing and Podcasts
Automated trading strategies provide numerous advantages for implementing successful investment strategies. A rigorous and disciplined approach can lead to profitable strategies far superior to human discretionary trading.
Automated trading is disciplined trading. The strategy will do exactly as the underlying software is written. The software will enter trades based on the core logic of the strategy and likewise exit trades according to its exit logic. Irrational human behavior and biased decision-making do not interfere.
by Nicholas Mitsakos | Algorithmic Trading, Artificial Intelligence, Financial Technology, Technology, Transformative businesses, Writing and Podcasts
A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions. This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. Our approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing. This video discusses our perspective on the current state of artificial intelligence, the shortcomings of big data and trial and error approaches, and the most effective solution and its prospects. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications, especially within Arcadia’s algorithmic trading.
by Nicholas Mitsakos | Algorithmic Trading, Investment Principles, Investments, irrationality, Writing and Podcasts
The illusion that one can either predict or get ahead of cycles, or predict when they will end is why most investors underperform the market. Markets are driven by human emotion, and it is human emotion combined with the supply and demand dynamic that determines price. Therefore, pricing is independent of anyone’s perspective about “intrinsic value.” Markets are based on price, price is based on supply and demand, and that dynamic is subject to abrupt changes based on the whims of small numbers, and sometimes exceptionally large numbers, of investors. Human behavior controls the markets. Optimism, pessimism, psychology, fear, conviction, and resignation all play a role in adding to volatility and uncertainty. Frequent and intense volatility is here to stay. Market movements really can’t be predicted unless they are at extremes when prices are at absurd highs or lows. But, picking the high or the low is a fool’s errand. Understanding and profiting from volatility, managing risk, and believing in a sustainable investment model is still the best strategy.
by Nicholas Mitsakos | Algorithmic Trading, Financial Technology, Investments, Writing and Podcasts
Arcadia Capital Group, a proprietary algorithmic investment fund, is proud to announce that our world-class software development team has launched Arcadia’s new proprietary trading platform. This platform focuses its strategies on public securities, including equities, derivatives, futures, and crypto. The team’s scientific and technological background, investment, and entrepreneurial experience enable it to develop our disciplined, algorithmic, and proprietary approaches that both manage risk in increasingly and more intense volatile markets, and profit disproportionately from this volatility.
