KHANO911

🚨 Need Expert Eyes on My Trading Bot Data (Real-Time Analysis)
I’ve been testing my multi-layer trading bot on live market conditions (Binance Testnet), and here’s what it’s currently detecting across major pairs like BTC, ETH, SOL, BNB, TON, and LINK 👇
🔍 Key Observations from Bot Logs:
• Strong sell pressure + sell walls on BTC order flow
• Funding mostly neutral to slightly negative → no strong directional bias
• On-chain data shows mild to strong inflows (potential accumulation zones)
• Whale activity detected on BTC → possible big move incoming
• Most pairs blocked due to low-volume (Asia session filter)
• No liquidation clusters or strong S/R triggers yet
• Final result: ❌ No trades executed — all gates not passed
⚙️ What My Bot Is Doing Right Now:
It’s avoiding low-probability trades by combining:
✔ Order Flow
✔ Funding Rates
✔ On-Chain Signals
✔ Liquidity Zones
✔ Session Filters
💭 Where I Need Expert Feedback:
Should I relax the Asia session volume filter, or keep it strict?
Is mild inflow + neutral funding worth considering as early entry?
How would you interpret whale activity without confirmation signals?
Any suggestions to improve trade frequency without killing accuracy?
📊 Goal: Build a bot that trades less, but only when probability is high
Would really appreciate insights from experienced traders & quants 🙏
Let’s improve this system together.
#TradingBo #AlgoTrading #QuantTrading #AITrading @Pixels @ARI ZAIM @Master