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1062 Lin. Ave Silicon Valley
CA 95125 United State

+1 (484) 414-5414

[email protected]

Location: 1062 Lin. Ave Silicon Valley CA 95125 United State

How Our Solana Bot Scores Rug Risk Before You Trade

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Solana meme coins are explosive—but also dangerous. With new tokens launching every few seconds, it’s not about “if” there’s a rug, it’s about when. That’s why we built a bot that doesn’t just trade fast—it thinks first.

Welcome to a deep dive into how our Solana Sniper Bot scores rug-pull risk before placing any trade. This isn’t a hype piece. It’s a breakdown of real on-chain safety logic built into our system to protect traders from losing their SOL in seconds.


🤯 Why Rug Risk Is So High on Solana

Because launching a token on Solana is cheap and fast, it’s also the easiest chain to abuse. Here’s why rug pulls happen every minute:

  • Devs retain majority supply (80 %+)
  • Liquidity isn’t locked
  • Mint authority stays enabled
  • Wallet stacking fakes buy pressure
  • Tokens are launched and rugged in <5 mins

New traders can’t keep up. They’re outgunned by bots—or worse, tricked by them.


🧠 How Our Bot Thinks Before It Buys

Before trading any token, our bot performs a rug risk assessment. Each factor is given a score, and the total determines whether to enter, skip, or flag the token.

Let’s break down the scoring system.


✅ Positive Signals (Add to Safety Score)

  • +10 Mint Authority Revoked
    • Ensures devs can’t mint more tokens later
  • +20 Liquidity Locked ≥ 90%
    • Prevents instant pull of all funds from LP
  • +10 Unique Holders ≥ 25
    • Avoids wallet stacking/fake buyer count
  • +10 Unique Buyers ≥ 8
    • Shows organic interest, not dev wallet spam
  • +10 Buy/Sell Count Ratio = 1.2–4x
    • Healthy market activity
  • +10 Buy/Sell Volume Ratio = 1.2–4x
    • Balanced inflows/outflows
  • +10 Quote Sizes Are Varied
    • Mixed trade sizes = real participants
  • +10 Dev Wallet Sold Only a Small Portion Early
    • Indicates less intent to dump early
  • +5 Buyers Interacted With Other Tokens
    • Shows experienced wallet history

🚨 Negative Signals (Subtract From Score)

  • −30 Mint Authority Enabled
    • Massive red flag for unlimited minting
  • −20 Liquidity < 90% or Unlocked
    • Easily drained LP = instant rug
  • −20 Top Wallet Holds > 80% Supply
    • Centralized risk and dump potential
  • −15 Top 3 Wallets Hold > 85% Combined
    • Classic rug setup
  • −10 Unique Holders < 20
    • Not enough buyers are spread
  • −15 Wallet Stacking (Same Wallet Buys 3× Early)
    • Faked hype
  • −10 Repetitive Timing or Identical Amounts
    • Indicative of script-controlled fake trades

The final net score determines:

  • ✅ Green (Safe to Buy) → Score ≥ +25
  • ⚠️ Yellow (High Risk) → Score = 0 to +24
  • 🚫 Red (Auto-Skip) → Score < 0

🤖 How Our Bot Applies This in Real Time

Each time a new token is detected, here’s what happens in milliseconds:

  1. Token Launch Detected via Solana WebSocket
  2. 100 Transactions Pulled Instantly
  3. Wallets Analyzed by Score Model
  4. Liquidity and Mint Data Scanned
  5. Final Risk Score Calculated
  6. Decision Made → Buy, Skip, or Flag

If any critical red flag is triggered (like mint authority ON or LP unlocked), the token is blacklisted and ignored permanently.


📈 Real Example: Rug vs. Safe Token

❌ Rugged Token Example

  • Mint enabled = −30
  • LP unlocked = −20
  • Top wallet = 91% supply = −20
  • Wallet stacking = −15
  • Unique holders = 16 = −10

Final Score = −95 → Auto-skip

✅ Safe Token Example

  • Mint revoked = +10
  • LP 98% locked = +20
  • Unique holders = 32 = +10
  • Buy/sell ratio = +20
  • Dev sold only 2% = +10

Final Score = +70 → Instant Buy


🔐 Why This Scoring Model Works

  • Data-driven decisions
  • No emotions
  • Repeatable results

It allows us to prioritize safety over FOMO without losing speed.


🛠 Bonus Features Integrated Into the Bot

  • Blacklist memory: Flags bad devs permanently
  • Adaptive filtering: Learns from failed/rugged entries
  • Dashboard visualization: Watch scores update live
  • Manual override: For experienced users

📄 Author’s Thoughts

“Solana rugs are brutal, but predictable. We just automated the red flags.” — @CryptoLoom, Chain Analyst and Smart Contract Auditor


The only way to beat rugs is to detect them before they trap you.

And bots—specifically, ones like ours—make that possible.

✅ Try Ailtra Sniper Bot
✅ Let safety score your trades
✅ Stay early, stay safe

Visit Ailtra.ai to explore the tech and join the Telegram community.