EndCycle Sniper v2.0: Testing My Updated Polymarket Trading Bot with Smart Score Decision System
The biggest weakness of my original EndCycle Sniper bot was its vulnerability to sudden market reversals on Polymarket.
To solve this, I built a smart score-based decision system that evaluates multiple market characteristics before placing any buy order. The system not only decides whether to buy, but also calculates the optimal buy quantity based on the score.
Today I ran live tests on the updated version. Here's exactly what happened.
First Cycle Results
The decision engine approved buys for three assets:
- ETH
- SOL
- XRP
No assets were rejected in this cycle.
On the actual Polymarket platform:
- Only XRP was fully executed.
- ETH and SOL orders were still in progress at the time of recording.
The bot now supports fully automatic redemption — no manual intervention required when positions close.
After checking positions, the cycle completed successfully with the position closed.
Second Cycle
In the next cycle, the smart score system demonstrated its value:
- SOL was automatically rejected because its score fell below the safe threshold.
This rejection helps minimize potential losses during unfavorable conditions.
Key Improvements in v2.0
- Score-based buy approval (instead of always firing)
- Dynamic position sizing based on confidence score
- Better protection against market reversals
- Seamless automatic redemption
The combination allows the bot to chase high-probability opportunities while avoiding low-quality entries.
Video Walkthrough
Watch the full testing process here:
https://www.youtube.com/watch?v=R1bBPF9c4NY
In the video I show the bot interface, score calculations, executed trades, rejected signals, and redemption flow.
Want the Updated EndCycle Sniper Bot?
If you're building or running your own Polymarket trading strategies and want access to this updated version, reach out:
- Telegram: t.me/xxninex or t.me/soulcrancerdev
- X / Twitter: @xxniiinxx
- WeChat (for Chinese users): Scan the QR code below or in the video
I'm happy to discuss the architecture, score logic, or how this can be integrated into your own Polymarket bot development.
What do you think about score-based decision engines for prediction market bots? Have you faced similar reversal issues on Polymarket? Drop your thoughts in the comments!
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