The birth of Signally and its future impact.

To understand the origins of Signally.tech, let’s turn to Joost van Bree, the founding father of Signally.tech: “Signally emerged from a fervent desire to complement existing investment strategies and stock-picking methodologies with the prowess of Artificial Intelligence.” Van Bree approached Harry Scheper, a seasoned trader immersed in the stock market, to explore the existence of such a solution. Unfortunately, it didn’t. However, Harry, now a partner at Signally.tech, had an enlightening moment: “If I can use AI to significantly improve my portfolio’s performance, to make much better decisions, militage risks, and yield higher returns, it’s not just an opportunity for me but for other traders, brokers, family offices, and fund managers the entire professional market.”

And thus, the idea of starting Signally took shape. But what was needed exactly? Consider this: an abundance of data pertaining to publicly listed companies is readily accessible through internet-based platforms and databases. The grand design entailed augmenting conventional buy and sell signals, such as technical and fundamental analysis, by integrating two AI-driven modules. The first module harnessed mathematically sophisticated AI models, while the second module delved into the interpretation of the voluminous daily influx of corporate information. Van Bree explains, “By combining these AI modules, we can provide real-time signals, trends, and sentiments for every publicly listed company.”

Signally, now with a full team, is nearly ready to offer its services to other entities and operate as its own HedgeFund. So, what’s in store? Signally presents two fully-fledged products:

 

1. An informed signal that provides valuable insights into future stock prices, volumes, volatility, and relative strength indices for all publicly listed stocks available for our own hedge fund and the professional market.
2. A real-time trading module that offers timely advice to traders, indicating when to buy or sell based on expected price movements.

What makes Signally unique? Gerard de Bruijn, partner and Data Scientist at Signally: “In the case of the informed signal, the AI algorithm is trained using sentiments derived from decades of domain expertise in stock markets, combined with cutting-edge language models. This has resulted in Signally’s proprietary AI sentiment module, which boasts a sentiment reliability of at least 80% and a sentiment forecast accuracy of 83%.

Similarly, the trading module incorporates various technical indicators (e.g., RSI) within its algorithm, automatically selecting the most accurate indicator for a given stock, based on a wealth of historical market data accumulated over several years.”

What further sets Signally apart is the combination of data science, extensive trading experience, and industry knowledge. Signally is designed by experts from the field. While the system is driven by AI, a senior trader’s input remains vital, ensuring that the output aligns with their expertise. This human touch enhances the system’s accuracy. Scheper: “The allure lies in the fact that not only can you effortlessly monitor an extensive array of stocks, but Signally also facilitates the elimination of emotion from your decision-making process.”

Why should investors seize this opportunity now? Gerard de Bruijn asserts, “The proverbial rocket, as I call it, is on the verge of launch. All modules are functioning seamlessly. The potential of Signally is colossal, particularly when considering its revenue model vis-à-vis prominent international exchanges like Nasdaq. Act now before the window of opportunity closes. It’s that straightforward. “Harry Schepers concludes, “Even with the modules currently operating independently, I’m already reaping significant returns. And perhaps more importantly, the risks become significantly smaller. Just imagine the possibilities when we interconnect and unleash the comprehensive system.”