0x31adsun

TermMax is not really about "offering fixed interest rates," but about turning time into a constraint.
In DeFi, most protocols operate on one default assumption:
You can leave at any time, change your mind at any time, and regret at any time.
The result is—every strategy becomes a "temporary decision," and all judgments are only responsible for the next K-line.
And the moment @TermMaxFi hardcodes the "term," it’s actually forcing you to think clearly about one thing:
If you do nothing for a period of time, does this judgment still hold?
This is not a trading issue; it’s a cognition issue.
Fixe

TermMax has never thought about helping you develop a judgmental ability like a keen-eyed expert.
Taking a stroll through the DeFi world, you'll find that most products hide a default preset — you need to be able to judge, and you need to get it right every time.
But everyone knows, the wavering human heart and the face-changing market, isn't judgment itself the most unpredictable variable?
@TermMaxFi has taken a more pragmatic approach.
It simply takes the "guessing game" out of the user's hands and uses fixed interest rates to draw a clear safety zone for the results.
It may seem like giving

Konnex has never been in the business of robot trading.
Robots are merely the execution terminals responsible for implementation; fundamentally, they are a one-time heavy asset investment: long production cycles, high deployment costs, constrained applicable scenarios, and a ceiling on scale expansion from the start. This is not a matter of technical capability, but the limit imposed by the asset form.
Konnex looks further ahead. It focuses on LBMs / VLAs, essentially stripping "intelligence" from the hardware shell.
When intelligence is no longer tied to a specific machine but exists independ

What truly consumes people is never a lack of information, but continuous decision-making.
Multi-chain, multi-account, multi-asset—it's not that the options have increased, but that you're forced to stay online all the time.
Monitoring prices, calculating positions, switching networks, managing permissions—each one consumes your attention.
@bluwhaleai's approach isn't about helping you calculate more precisely, but about taking over the complexity you shouldn't be involved in directly.
The Agent runs relevance, risk exposure, behavioral changes in the background, leaving you only with the "sur

Since the end of last year, the WEEX global AI Trading Hackathon has finally entered a truly meaningful stage.
The AI trading competition has already begun.
It's not PPTs, not demo accounts, but real trading with actual funds and real drawdowns.
This time, it's not about storytelling ability, but about the survival capability of strategies in the real market.
Market fluctuations, liquidity changes, emotional interference—all are directly reflected in the profit curve.
Whether an algorithm is effective or not, the market won't hold back.
The lineup is also impressive.
Many traders with genuine

AI Hub v2 is truly changing not what you research, but at which step you start to think about the problem.
Most research starts by looking at the price, then finding reasons for the price movement all the way through.
Over time, judgments become very smooth, but not necessarily independent.
AI Hub v2 changes the initial approach.
It first provides you with events, structure, and background, laying the changes on the table, with the price naturally placed later. You need to first think clearly: what does this event mean within the system, rather than whether it will rise immediately.
I quite ag