Let's set the record straight!

Set it and forget it? Not really.

Your algorithm still needs regular monitoring. Network issues, errors, and changing market conditions can impact performance.

Even the best strategies can fail during high volatility. Risk is real, and costs (like brokerage fees) add up!

Scaling up isn’t always smooth.

Slippage, infrastructure limits, and market liquidity can impact performance as trade volumes increase.

Platforms like Tradetron & uTrade are great, but not perfect.

Pre-built strategies need customisation and testing. Don’t rely blindly on plug-and-play solutions.

Backtests look pretty, but they’re not reality.

Past data isn’t a guarantee. Overfitting and ignoring live market dynamics can hurt actual performance.

Algo trading needs time, skill, and patience.

It’s not a shortcut to riches. Continuous learning, coding, and strategy refinement are key to long-term success.

Algo trading is powerful.

Be realistic. Focus on solid strategies, continuous learning, and smart risk management to truly succeed.