Mando

Enthousiast on Blockchain, DLT, and business applicability for this beautiful technology. Actively Following @Synternet and @Nashsocial for this reason.

[Aptos @Aptos]

Previously running in parallel, TradFi and crypto systems are now converging.

Following regulatory clarity gained in 2025, @Bitnomial's first-ever U.S. Aptos futures introduction puts Aptos one step closer to a U.S. Aptos ETF in as few as 6 months.

→ Increased Aptos adoption.

[Synternet @synternet_com]

Overreaction is the most expensive habit in trading.

A signal appears.
Price moves.
The urge to act kicks in.

That urge is not information.
It is emotion.

[Synternet @synternet_com]

Let’s demystify signal logic.
No formulas.
No edge leakage.
Just structure.

[Synternet @synternet_com]

In the trading strategy flow, signals are a part of the process.
Signals never trigger trades.
They trigger evaluation.
Most evaluations end with a decision to do nothing.
That is not hesitation.
That is discipline.

[Syntoshi @syntoshidog]

Syntoshi Year-End Recap

2025 was the year Syntoshi went from an idea to a daily utility.

From tracking markets to answering real questions in real time, Syntoshi spent the year doing one thing well: turning raw crypto data into signal.

What Syntoshi delivered this year:

⚫️Real-time market data across prices, volumes, and trends
⚫️DeFi yield discovery and comparisons without dashboard hopping
⚫️Fast explanations of complex crypto topics, minus the noise
⚫️Event tracking, ecosystem updates, and research summaries
⚫️Actionable insights for traders, builders, and communities

Behind the scenes, Syntoshi is powered by Synternet.

That means:

Direct access to live, permissionless data streams
No reliance on static dashboards or delayed APIs
An AI agent that reacts to the market as it moves, not after

This year proved something important:
AI agents are only as good as the data they can see.

Synternet is building the data layer.
Syntoshi is showing what’s possible on top of it.

Next year is about going deeper:
More agents.
More integrations.
More real-time intelligence.

Thanks to everyone who used Syntoshi, stress-tested him, and pushed him to be better.

Onward.

[Synternet @synternet_com]

We just launched a new Synternet website.

Better aligned.
Clearer.
More complete.

Same product, now presented the way it deserves.

Take a look.

https://t.co/PmwJQAPPPt

[Synternet @synternet_com]

The Data Layer Real Talk.

Agents are getting smarter, but they’re still only as good as what they consume.

We’re building the layer where data comes in clean, verified, and ready to work.
If agents really take over the heavy lifting, this becomes the battleground. Synternet is preparing for that moment.

[Bitcoin Magazine @BitcoinMagazine]

FUN FACT: #Bitcoin has dipped more than -30% three times this cycle 👀

The previous two were great times to buy 🚀

[Synternet @synternet_com]

Quick update everyone

Our Synternet Space series has been rescheduled to give us a better window for a richer discussion.

🗓 New date: Thursday, 18/12/2025
⏰ Time: 14:00 UTC

We’ll be diving deeper into key insights, sharing fresh updates, and opening the floor for thoughtful conversations with the community.

Make sure to set a reminder we’d love to have you there

[Synternet @synternet_com]

As part of our product updates, we'll show you the prompts in action that might or might not trigger trades in the future.

Let's start with RSI analysis on BTC, ETH and SOL.

Prompt and response below.

Join and test it for yourself. Free credits every day.

[Synternet @synternet_com]

Prompt:
Get SOL price with 50 and 200 EMA on 1h, 4h, and daily charts.
Check if all timeframes show bullish alignment (price above both EMAs, 50 EMA above 200 EMA).

Get current 24h volume vs 7 day average.

If aligned, provide swing trade:
• entry at current price
• TP at +8 to 10%
• stop loss below 50 EMA on 4h
• position size 5 to 7% only if all conditions align

[Synternet @synternet_com]

Let's continue our product demo. We are showing the prompts our strategies use in real conditions.

Some prompts trigger trades.
Most do not.

That is the point.

Today’s example: a swing setup on SOL using EMA alignment and volume.

Prompt and response below.

[Synternet @synternet_com]

Trading agent flows?
How does an AI agent actually go from data to a real trade?

Here is the flow we use at Synternet.

Clear, simple, and grounded in trading.

[Synternet @synternet_com]

Start trading smarter with your AI co-pilot!

[Synternet @synternet_com]

Crypto holders should expect more from AI agents.

Better signal detection.
Better context awareness.
Better execution quality.
Smarter risk control.

[Synternet @synternet_com]

Bots react.

Agents understand context, liquidity shifts, indicators, cross-chain flows, before making decisions.

Here is a simplified view of the difference.

[Synternet @synternet_com]

We will keep sharing real progress, not promises.
Follow along. More demos are coming.

End of thread.

[Synternet @synternet_com]

What is live today:

• Trade execution on devnet
• 0x integration for routing
• On and off chain data pipelines
• Multi agent analysis

[Synternet @synternet_com]

When everything aligns, the agent pushes a trade directive that can be executed immediately.

In this case: a swap from MON to USDC through an 0x route.

[Synternet @synternet_com]

Behind this sits our multi-agent framework and data pipeline.
Agents read liquidity, volume, indicators and relevance before making any recommendation.

This gives them context that simple bots never consider.

No hype. Just data and multi-agent reasoning.