Our Story
The COVID-19 pandemic of 2020 was a turning point in our lives. It changed the way we lived, it distanced us from our loved ones, and it forced us to pause many of the activities we used to take for granted. But in that pause, we found something unexpected: time. Time to reflect, to dream, and to finally pursue something that had always fascinated us — Trading.
What followed was not easy. It was a journey filled with long nights in front of the charts, moments of tension, frustration, and the occasional spark of excitement when things worked. It was a road that tested our patience and resilience, but giving up was never an option. Deep down, we knew that if we stayed disciplined, we would get there.
Eventually, we did. We developed our own trading method and, more importantly, we learned to control ourselves — our anxiety, our greed, our fear of risk. Trading became a discipline, a daily ritual. And then, a thought that had always been with us became impossible to ignore: what if we could automate it?
With the help of AI, we built the first versions of our algorithms. They worked — at least on paper — but we still lacked the deep confidence we were searching for. We kept researching and learning until we found a tool that changed everything: StrategyQuant.
With StrategyQuant, we were finally able to combine creativity with technology: to build, test, and validate our systems with rigor. By following a strict methodology in the creation and deployment of our algorithms, we can say with confidence: our algorithms are robust.
This is how ALGOSPHERE was born — not just as a project, but as a vision. A vision of multiple robust algorithms working together in harmony, across markets, each one generating consistent returns, with risk under control, and without ever stepping on each other’s toes.
ALGOSPHERE is more than code. It is passion, discipline, and perseverance turned into technology. It is the belief that we can face the markets with courage, with intelligence, and with love for what we do.

What is Algorithmic Trading
Algorithmic trading is the use of computer programs that follow a set of predefined rules (algorithms) to decide when to open, modify, or close trades in the financial markets. These algorithms are based on predefined rules and mathematical models, which automate decision-making and allow strategies to be executed within milliseconds. Algorithmic trading is widely used in equity, index, forex, commodity, and even cryptocurrency markets.
Algorithmic Trading vs. Manual Trading
Algorithmic Trading
vs. Manual Trading
| Aspect | Algorithmic Trading | Manual Trading | |
|---|---|---|---|
| Execution | Automatic: the system opens/closes trades according to the programmed rules, with no human intervention. | Manual: the trader decides in real time when to buy or sell and executes it on the platform. | |
| Speed | With algorithms designed to make decisions in milliseconds, algorithmic trading allows you to take advantage of market opportunities quickly and efficiently, often resulting in more precise trade execution. |
|
|
| Emotional Discipline | Emotion-free: the algorithm follows the rules to the letter. | Influenced by fear, greed, and fatigue, which can lead to errors or impulsive decisions. | |
| Analytical Capacity | Can analyze thousands of instruments and conditions simultaneously. | Limited to what the trader can monitor on their screen. | |
| Strategy Robustness | Enables backtesting with large amounts of data under varying market conditions. | Testing a manual strategy through a simulator requires many hours of effort. |
Click to enlarge


