Prop Firm BOT Failing FTMO Demo Challenges

[Joseph Yong]

 

Hey everyone,

I’ve been testing a Prop Firm BOT on FTMO demo challenges, and I keep running into the same issue: the bot consistently fails to trail itself out and hit the profit target.

It seems to handle some trades well but struggles with maintaining momentum toward the profit goal without overstepping the max loss or daily drawdown limits. I’ve tried tweaking the risk settings, modifying the strategy slightly, and even optimizing for different market conditions, but I’m still not getting consistent results.

So here’s the most important question: How do you configure or adjust a Prop Firm BOT to effectively trail its way to the profit target while staying within the rules?

I’d really appreciate any advice, insights, or specific setups that have worked for others in a similar situation. Thanks in advance for sharing your expertise!

Looking forward to hearing your thoughts!

Regards

Joe

 

[27shells]

Hi Joe,

What TP’s and SL have you set for your pairs? Are they realistic for that pair?  I had to change my settings to suit the trading that I wanted out of it. Maybe check your settings for TP and SL and R:R.

I don’t use TSL’s, so I can’t answer that one sorry.

[Joseph Yong]

Hi everyone,

I wanted to share some insights based on my own testing of the Top 5 EA from The Prop Firm Bot, which I’ve been using on over 25 FTMO trial accounts with varying balances: 10K, 25K, 50K, and 100K.

I used the default settings for these trials, and what I’ve found is that as the account size increases, the Bot tends to hit the equity protection levels, particularly on the higher-tier accounts (50K and 100K). This is where the issue arises—there seems to be no recovery mechanism that I know of once this equity protection is triggered, and the trades are closed.

Unfortunately, despite reaching out to EA Trading Academy Support, I have not received any solutions or feedback. It has been over 2 months since I first contacted them, and still, no response. I’m beginning to wonder if this issue is something that others are experiencing as well.

If anyone has found a workaround or received any helpful updates from support, I’d love to hear your thoughts!

Thanks for reading!

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