

Algorithmic trading is not about guessing the market—it is about systematic risk control, probability management, and consistency. In this article, we break down a real-world trading case from a programming trading competition with real market conditions, explaining how CCY Power, MACD, and Auto Lot Size management were combined to achieve stable performance across several months.
This is not a “get-rich-quick” strategy for the financial markets. Instead, it demonstrates how disciplined settings, proper risk control, and session-based trading can significantly improve long-term results. You will also learn how to make proper trading decisions using algorithmic data.
Important:
If you prefer watching with English subtitles, please turn on Closed Captions (CC) and select English in your settings. This will provide you with accurate English subtitles throughout the video to help you follow every detail of the strategy.
Why Risk Control Comes First in Algorithmic Trading
The core focus of the trading logic is simple:
Before thinking about how much you can earn, you must first calculate:
A strong algorithm does not rely on a single win—it survives multiple losses without blowing up the account. This is important as having proper risk assessment can help determine your risk tolerance as well.
The trader participated in a team-based algorithmic trading competition and tested 10 different strategy sets with multiple Expert Advisors, including:
Among all configurations, Flash combined with CCY Power and MACD delivered the strongest performance.
Key Performance Metrics (May–August)
These results were achieved not by aggressive leverage, but by carefully optimized parameters and position sizing.
Why CCY Power?
CCY Power visually shows currency strength and weakness, allowing traders to:
Important principle:
Always read the chart visually. Do not trade based on numbers alone.
While standard MACD settings are typically 12, 26, 9, this strategy used:
The goal was to:
Advanced users can further optimize parameters using tools such as MACD Optimizer, testing alternatives like:
This strategy focused mainly on the Asian trading session, specifically:
Reasons for Choosing the Asian Session:
Avoiding news volatility is critical when trading short timeframes with automated systems.
Auto Lot & Risk Settings
This reduction strategy helped:
As confidence in the MACD and CCY Power combination increased, stop-loss size was tightened, further improving risk efficiency.
To avoid overtrading and prolonged exposure, the following controls were added:
These settings:
Although breakeven is popular, it was intentionally avoided.
Reason:
If breakeven is triggered repeatedly, you may:
In this strategy, the focus was on:
Beyond the competition account:
This reinforces a key principle of algorithmic trading:
Consistency beats aggression.
Key Takeaways for Algorithmic Traders
As we approach the end of 2025, preparations are already underway for the 2026 programming trading competition. Each year, the systems improve, results become more stable, and students gain deeper confidence in algorithmic trading.
The goal is simple:
If you want to:
Visit our page to help you take the first step into algorithmic trading. Not just that, if you want to see our expert advisors’ performances and download their strategy settings, you can see them through AI Signals Page where our users constantly place their performance signals there!
Disclaimer: Live trading involves financial risk. Past performance does not guarantee future results. Always trade responsibly.





