Follow Along Testing the Waters with Zelfiguru. Early Trades & Lessons

Dulce

New member
Started experimenting with Zelfiguru this week after reading through the main guide here. Still getting used to how everything works, but I’ve made a few small trades already and want to track the learning process along the way. I’ll keep this updated with all the wins, losses, and adjustments I make.

Here’s where things stand so far:

Trading Bot: DBot Free

Trading Tool: Zelfiguru Premium

Trading Strategy: Follow high ROI wallets with 10+ min hold time and simple buy/sell patterns

Goal: Build consistency with small positions before scaling, aiming to refine entries and avoid wallets that farm

My first trades were around 0.1 SOL mixed results, but useful insight. Trying to avoid the mistake of only chasing win rate and now focusing more on wallet behavior before entering. Will post updates on how that evolves.

Would be great to hear what others are tracking or watching for when adding wallets.
 
Started experimenting with Zelfiguru this week after reading through the main guide here. Still getting used to how everything works, but I’ve made a few small trades already and want to track the learning process along the way. I’ll keep this updated with all the wins, losses, and adjustments I make.

Here’s where things stand so far:

Trading Bot: DBot Free

Trading Tool: Zelfiguru Premium

Trading Strategy: Follow high ROI wallets with 10+ min hold time and simple buy/sell patterns

Goal: Build consistency with small positions before scaling, aiming to refine entries and avoid wallets that farm

My first trades were around 0.1 SOL mixed results, but useful insight. Trying to avoid the mistake of only chasing win rate and now focusing more on wallet behavior before entering. Will post updates on how that evolves.

Would be great to hear what others are tracking or watching for when adding wallets.
Really solid first breakdown.

You’re already ahead by focusing on wallet behavior instead of just win rate. a lot of early losses come from chasing “perfect” stats without context. I’ve found it helpful to watch for how wallets scale into positions or rotate out during low volume. Those small patterns can say a lot about intent.

Also, tracking hold times like you’re doing is smart. When I ignored that, I kept copying wallets that just front-ran announcements and sold instantly. Took a few losses to figure that out.

Definitely following this thread. keep the updates coming.
 
Great start, Dulce!
I can definitely tell you read my ebook :)
I believe you'll start seeing good results soon.
Hit me up on TG @soldotmeme if you want an extra guide pdf.
I've shared my exact dbot setup there.
Appreciate the encouragement, Chris.

The ebook was a huge help, especially the section on identifying consistent wallets. I’ll definitely take you up on that extra guide. Just messaged you now on TG (@dulcealtra). Keen to refine my DBot setup with whatever tips you’ve shared.

Thanks again. I’ll keep building and updating the thread with how things go.
 
Really solid first breakdown.

You’re already ahead by focusing on wallet behavior instead of just win rate. a lot of early losses come from chasing “perfect” stats without context. I’ve found it helpful to watch for how wallets scale into positions or rotate out during low volume. Those small patterns can say a lot about intent.

Also, tracking hold times like you’re doing is smart. When I ignored that, I kept copying wallets that just front-ran announcements and sold instantly. Took a few losses to figure that out.

Definitely following this thread. keep the updates coming.
Appreciate that. and yeah, you nailed it. I actually ran into the same issue a few days ago: copied a wallet that had great ROI but barely held for 20 seconds. By the time my trade settled, they were already out.

Now I’m being more selective, especially around hold time and token volume. Still testing, but it already feels less random and more repeatable.

Glad to know others are watching for the same things. I’ll keep posting what I find!
 
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