1

Everything starts with an idea. At this stage, we brainstorm and identify trading opportunities by analyzing market inefficiencies, statistical patterns, economic theories, and other relevant factors. The objective is to develop a clear hypothesis explaining why the strategy should succeed, define key parameters, and estimate expected returns.

2

Once the strategy is defined, it needs to be converted into an algorithmic model. This step involves coding the trading logic, integrating data sources, and structuring the decision-making process to handle different market conditions and execute trades efficiently. Preliminary tests are conducted.

3

Following the preliminary tests, the strategy is tested against multi-year historical market data. The results provide us with a deep understanding of how the strategy would have performed in the past, enabling us to fine-tune parameters and risk settings and ensure that the strategy is not overfitted to past data.

4

While backtesting provides a preliminary assessment, it does not guarantee future performance, making more realistic testing necessary. In this stage, the strategy is tested in a live environment using real-time market data but executes trades without using actual capital. This allows us to uncover potential issues like latency, slippage, order execution failures, and unexpected market behavior, enabling us to optimize it even further.

5

After successful simulations, the strategy is deployed in a live environment with a small amount of real capital. This stage evaluates real-world execution, liquidity constraints, market impact, and the strategy ability to manage risk effectively. We monitor and analyze any discrepancies between expected and actual results, and if issues arise, adjustments are made accordingly before full deployment.

6

Once it is confirmed that the Pilot Test performance aligns with expectations, the strategy is fully implemented, and the trading bot is introduced to the public. Continuous monitoring remains essential as markets evolve over time, and regular updates, bug fixes, and optimizations are deployed under the conditions defined in our Terms and Conditions. Clients are invited to invest in this innovative product with complete confidence.