A Better Investment Strategy – Data, Discipline, and Rigor

A Better Investment Strategy – Data, Discipline, and Rigor

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.

Automated Trading – Why Algorithms Win

Automated Trading – Why Algorithms Win

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.

A New Vision for Artificial Intelligence

A New Vision for Artificial Intelligence

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.

Where Does the Market Go from Here

Where Does the Market Go from Here

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.

Arcadia Launches New Proprietary Trading Platform

Arcadia Launches New Proprietary Trading Platform

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.