Trade Challenge/Bot Performance Update: A Strong Day Despite Market Turmoil

When I kicked off my 1.5K to 100K challenge, my plan was simple: copy smart money wallet trades document the journey, and post updates daily.
Unfortunately, I got hit with a sickness that threw everything off. I couldn’t execute or post as planned—but I still worked on the challenge as much as possible.
The First Days Didn’t Go as Planned 📉
I started by tracking and copying 4-5 highly profitable wallets, believing that mirroring successful traders would yield similar results.
Reality check after 5 days
It was nearly impossible to execute consistently.
Doing it manually was chaotic—by the time I saw a trade, checked liquidity, and executed, I was often late. Plus, time zones were a huge problem too.On top of that, even profitable wallets have losing streaks.
After 4 days, I was down ~40%. Clearly, this approach wasn’t sustainable.
Rethinking the Strategy
I took a step back and started analyzing what was going wrong.
It became clear that manually copy-trading was inefficient—not only because of execution speed but also because a significant number of trades went sideways. I needed a better system.
The obvious solution? A bot. Especially since I have been developing bots earlier.
Building a Bot from Scratch
After researching existing solutions, I quickly realized that none of them fit my needs. Most bots were either too basic, too slow, or lacked key filtering/customization mechanisms.
At the same time, I started brainstorming new trading approaches beyond just copy-trading wallets.
So, while being stuck in bed, I did what any obsessed crypto freak with coding knowledge would do: I started building my own bot.
For the past three weeks, I’ve been focused on:
✔️ Designing a system that can track, filter, and execute trades in real time.
✔️ Developing custom filters to avoid bad trades.
✔️ Testing different trading strategies beyond just copying wallets.
What’s Next?
I’m currently in the testing phase, fine-tuning execution speed, risk management, and overall performance.
In fact, I already ran into and fixed tons of bugs I’ve never thought about (especially in terms of on-chain execution).
In my next post, I’ll share more details about how the bot works and its features.
Disclaimer
To be clear: This post is NOT about selling or advertising the bot or offering any services around it. I’m not making it public, nor will I charge for access.
This is simply a raw insight into my journey—what worked, what didn’t, and how I adapted along the way.
Let’s see where this new approach takes me. 🚀