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I just finished the first five books of the ACOTAR series.
I'll give it then 4 🌟🌟🌟🌟
Book 6 and 7 are expected to be released Oct this year and Jan next year.
I love me a long a$$ series 🤭
Have you read this series?
Thoughts?
It has always been my dream to have my own personal library.
So I built a mini one.
It's a 14-book library for now.
Let's see where we are by the end of the year.
I think I need shelves 🤭
I'm a serial book buyer😩😂
I've read just one from this current stack and I'm sure I'll get more before I finish them.
Who else enjoys buying books as much as reading them?
By the way, e-books or hard copy?
I still can't make a choice.
Decided to give Ogadimma a try but couldn't get pass one third of if
The irritation and annoyance towards her father, her aunty, her husband and herself😩
Started to remind me of The Middle Daughter
I would have been pissed through this book not sad at all😂
Is Addana better?
fear is priced in.
So I refined the workflow:
→ Avoid pre-unlock entries
→ Wait for post-event stabilization
→ Enter only after volatility cools
Now it’s structured.
Not reacting to fear measuring it.
That’s the edge.
Explore it → https://t.co/pO6W6FP190
Superior Terminal unifies market intelligence, workflows, backtesting, and deployment.
@SuperiorTrade_
Token unlocks always sound scary.
“Incoming supply = price drop.”
That’s the assumption.
But I wanted to see how it actually plays out.
Inside Superior Terminal:
Pulled
upcoming unlock data
Built a timeline dashboard
Mapped price behavior before and after events
Then I tested a simple idea:
→ Buy after the unlock dip
Backtest showed something interesting:
The real weakness often happens before the unlock.
By the time it happens, most of the
markets
→ Focused only on extreme outliers
Ran it again.
Fewer setups but cleaner outcomes.
That’s when I realized:
Data doesn’t just confirm ideas.
It forces you to slow down and filter them properly.
Test it yourself → https://t.co/pO6W6FP190
Paste news, charts, tweets, or ideas and turn them into testable strategies with @SuperiorTrade_
Whenever funding rates spike, everyone says the same thing:
“Market is overheated.”
But I wanted to test if that’s actually tradable.
Opened Superior Terminal and built a
workflow:
Funding rate dashboard
Added price + open interest
Defined condition: fade extreme funding
Backtest results were… mixed.
Some reversals worked perfectly.
Others kept trending against the trade.
So I refined it:
→ Added a trend filter
→ Avoided strong directional
Superior Terminal helps traders find and scale strategies that actually make money by turning public information into structured execution logic.
Started with a simple hypothesis: “PEPE shows strong mean reversion after big pumps.” Described it in Terminal.
The agent created
the full strategy logic, ran 18-month backtests, let me test different entry filters, and tracked how each change affected performance.
Added a volatility guard after seeing results big improvement in max drawdown.
This is the intelligence → workflow → execution loop done