Getting Started
Dashboard Guides
Trading Guides
Reference
Telegram Integration
Need Help?
Join our community for support, updates, and trading discussions.
AI Analysis Examples
Real-world examples of how ScreenerBot's AI analysis works in practice. Learn from actual scenarios to understand AI filtering, entry analysis, exit suggestions, and scam detection.
AI Filtering Examples
Example 1: Obvious Pump & Dump Scam
Token: "MOON ROCKET 🚀🌙💎"
Address: 8kJd...mN9x
Liquidity
$45,000
24h Volume
$850,000
Holders
1,250
Top 10 Holdings
92%
Numerical Filter Result:
AI Analysis (GPT-4o-mini):
Recommendation: FAIL (Confidence: 0.96)
Reasoning: This token exhibits multiple high-risk indicators:
- Suspicious name with emoji spam ("MOON ROCKET 🚀🌙💎") - classic pump signal
- Extreme holder concentration (92% in top 10) - massive rug pull risk
- Volume-to-liquidity ratio of 18.9x is abnormally high - likely wash trading
- No metadata: missing description, website, or social links
- 1,250 holders but 92% concentrated suggests fake distribution
Verdict: High probability pump & dump. Avoid.
Action Taken:
- • Token marked as FAIL and rejected from trading consideration
- • Auto-blacklisted (confidence 0.96 > threshold 0.8)
- • Event logged to dashboard for review
Outcome: AI prevented a likely rug pull. Despite passing numerical filters, the token showed clear scam patterns that AI correctly identified.
Example 2: Legitimate New Project
Token: "SolanaTools"
Address: 3mP7...qR2k
Liquidity
$125,000
24h Volume
$180,000
Holders
850
Top 10 Holdings
38%
AI Analysis (Claude-3.5-Sonnet):
Recommendation: PASS (Confidence: 0.82)
Positive Indicators:
- Professional metadata with detailed description and roadmap
- Healthy holder distribution (38% in top 10) shows good decentralization
- Reasonable volume-to-liquidity ratio (1.4x) suggests organic trading
- Valid social links: Twitter active, Discord community, GitHub repo
- Verified website with working product demo
- RugCheck score: 8.5/10 (Low risk)
Risk Factors:
- Relatively new token (3 days old) - limited history
- Liquidity could be higher for market cap
Verdict: Appears legitimate. Proceed with caution and proper risk management.
Action Taken:
- • Token marked as PASS and forwarded to trading engine
- • Entry analysis scheduled for next price check
- • Added to watchlist for monitoring
Example 3: Borderline Case (Uncertain)
Token: "DOGE2.0"
Address: 7nQ4...pL8m
Liquidity
$65,000
24h Volume
$320,000
Holders
2,400
Top 10 Holdings
62%
AI Analysis (Groq llama-3.1-70b):
Recommendation: UNCERTAIN (Confidence: 0.55)
Mixed Signals:
- ✅ Name derivative of established meme (DOGE) - could be legitimate tribute
- ⚠️ High volume-to-liquidity ratio (4.9x) - concerning but not extreme
- ⚠️ Moderate holder concentration (62%) - not great, not terrible
- ✅ Complete metadata with meme-appropriate branding
- ❌ Social links present but low engagement (<500 Twitter followers)
- ⚠️ Large holder count (2,400) but distribution skewed
Verdict: Insufficient data for confident recommendation. Could be community meme or coordinated pump. Requires human judgment.
Action Taken (Advisory Mode):
- • Token forwarded to trading engine with UNCERTAIN flag
- • Dashboard shows AI uncertainty warning
- • Trader can manually review and decide
- • Not auto-blacklisted (confidence 0.55 < threshold 0.8)
Note: UNCERTAIN results benefit from manual review. In enforcement mode (filtering_enforce = true), these would be rejected. In advisory mode, they proceed with a warning.
Entry Analysis Examples
Example 4: Good Entry Opportunity
Token: "SolProtocol" (SOL/USDC)
Current Price
$0.245
24h Change
+8.2%
Volume Trend
Rising
AI Entry Analysis (DeepSeek):
Recommendation: ENTER (Confidence: 0.78)
Favorable Conditions:
- Price consolidating after recent dip - potential bounce setup
- Volume increasing 45% over last 4 hours - building momentum
- RSI at 42 - not overbought, room to move up
- Buyer/seller ratio improving (60/40)
- Liquidity stable at $180k - no major removes recently
Suggested Entry: Current price with tight stop-loss at -8% (below recent low).
Result: Bot entered position at $0.245. Token moved to $0.289 (+18%) before hitting first take-profit level. AI correctly identified favorable entry timing.
Example 5: Bad Entry (FOMO)
Token: "HYPE" (SOL/USDC)
Current Price
$1.85
24h Change
+285%
1h Change
+42%
AI Entry Analysis (GPT-4o-mini):
Recommendation: AVOID (Confidence: 0.88)
Warning Signs:
- Extreme parabolic move (+285% in 24h) - unsustainable
- RSI at 92 - severely overbought, correction imminent
- Volume spiking but buyer exhaustion pattern emerging
- Large sells starting to appear on chain (whales exiting)
- Entry at current level = high risk of being exit liquidity
Verdict: Classic FOMO scenario. Wait for retracement before considering entry.
Result: AI prevented entry. Token peaked at $1.92 (+3.8%) then crashed to $0.58 (-68%) within 6 hours. Avoiding this trade saved significant loss.
Exit Suggestion Examples
Example 6: Smart Exit Timing
Position: "GameFi Token"
Entry Price
$0.42
Current Price
$1.18
Unrealized P/L
+181%
AI Exit Analysis (Anthropic Claude):
Recommendation: TAKE PARTIAL PROFIT (Confidence: 0.84)
Momentum Analysis:
- Strong uptrend continues but showing early divergence signs
- Volume declining on recent rallies - potential exhaustion
- Major resistance at $1.25 from historical chart patterns
- Holder distribution unchanged - no whale dumping yet
- Risk/reward ratio deteriorating at current levels
Suggestion: Take 50% profit at $1.20, let 50% ride with trailing stop at -15%.
Result: Took partial profit at $1.19. Token peaked at $1.32 (+15%), then retraced to $0.88 (-25%). Remaining 50% exited at $1.05 via trailing stop. Overall realized: +156% (better than holding through dump).
Key Takeaways
Lessons from Real Examples
- AI Catches What Numerical Filters Miss:Example 1 passed all numerical filters but AI detected scam patterns. Always use AI as a complementary layer, not a replacement for basic filters.
- UNCERTAIN Requires Human Judgment:Example 3 shows AI can't always be certain. Use advisory mode and manually review borderline cases. Your risk tolerance determines how to handle uncertainty.
- Entry Timing Matters More Than Discovery:Example 5 prevented a FOMO entry that would have resulted in -68% loss. Even good tokens can be bad entries at wrong prices. Use AI entry analysis to time positions better.
- Partial Profits Beat Greed:Example 6 demonstrates the value of partial profit-taking. AI suggested de-risking at +181%, avoiding the full retracement. Lock in gains while leaving upside exposure.
Example Configurations
Here are the configurations used in the examples above:
Conservative Setup
Used for Examples 1-3 (Filtering)
[ai.analysis]
filtering_enabled = true
filtering_enforce = true
filtering_providers = ["claude", "gpt4o"]
auto_blacklist_enabled = true
auto_blacklist_confidence = 0.85Dual premium models for maximum accuracy. High auto-blacklist threshold for safety.
Balanced Setup
Used for Examples 4-6 (Entry/Exit)
[ai.analysis]
entry_enabled = true
entry_providers = ["deepseek", "groq"]
exit_enabled = true
exit_providers = ["gpt4o-mini", "deepseek"]
auto_blacklist_confidence = 0.8Free/cheap providers for speed. Premium for exits when precision matters.