➖We focused on how orders behave under private routing,
➖Especially when order sizes increase
and when spot and perpetual flows interact.🔗

📍Most of the discussion was around
matching priority and information handling,
📍including cases where perpetual positions are involved.

⚙️Compound Interest / Reinvestment Logic
Multi-order execution optimization implemented.

⌛Strategy Path Adjustment
Refined routing to improve execution consistency.

🖥Trading Page UI Update
Enhanced time selection and K-line display for clearer interaction.

🧾We checked how execution results,
PnL updates, and margin changes
should settle under a non-custodial setup.🛡

The next era of trading is built on clarity
clear risk, fixed outcomes, and fair execution.⚙️

When rules are visible, decisions improve.
When outcomes are defined, confidence replaces stress.⌛

*️⃣We aligned on how user intent should be handled
before execution begins,
*️⃣Especially for leveraged and perpetual trades.

When losses exceed what was defined at entry, user trust breaks down.
This is not a behavioral issue — it is a structural one🔗

Modern trading systems are expected to provide:
• Clearly defined risk boundaries⚙️
• Stable decision environments🧠
• Predictable settlement behavior🔍

➡️We focused on margin, funding,
and liquidation behavior under private execution
➡️And discussed how failures should be contained.

Built together, focused together — team energy makes the difference.🤝

Traditional AMMs expose liquidity to price impact, latency, and behavioral risk.
What looks “passive” often isn’t.🧠

Market fluctuations, hedging, and risk control are completed at the system level,
rather than being individually borne by individual participants.🔗