Criteria, Signals & Trading Logic
Deep dive into trading criteria, signal processing, and the decision-making logic that drives agent behavior.
Every trading decision your Agentical agent makes is based on specific criteria, signals, and logical rules. Understanding these elements allows you to configure agents that align with your strategy and to interpret why trades are executed or rejected. This page provides a comprehensive reference for all available criteria, the signals they generate, and how the underlying trading logic processes these inputs.
Understanding the Decision Framework
How Criteria Drive Decisions
Trading criteria are the specific conditions a token must satisfy before your agent will consider it for trading. Think of criteria as a filter system where tokens must pass through multiple layers of evaluation.
Each criterion evaluates a specific aspect of a token's profile—holder distribution, social media presence, price action, liquidity depth, or security characteristics. When combined, these criteria create a comprehensive framework that defines your agent's trading universe.
The Evaluation Hierarchy:
Tokens must pass all tiers to trigger a trade. A failure at any tier immediately disqualifies the token, allowing the agent to move on to the next opportunity without wasting resources on deeper analysis.
Signals vs Criteria
While often used interchangeably, signals and criteria serve distinct roles in the trading logic.
Criteria are static requirements—fixed thresholds or conditions you define. For example, "minimum 1,000 holders" or "Twitter verification required." These don't change unless you modify your configuration.
Signals are dynamic indicators generated in real-time based on market data analysis. Signals measure strength, direction, and momentum. For example, "buy pressure increasing" or "social sentiment positive." Signals have varying intensities and can strengthen or weaken over time.
Combined Logic Example:
This dual-layer evaluation ensures tokens meet your baseline requirements while also demonstrating favorable market dynamics.
Core Criteria Categories
Token Fundamentals Criteria
These criteria evaluate the basic characteristics and lifecycle stage of tokens.
Token Age
Token age determines how long a token has been active, helping you avoid brand-new launches or overly mature tokens.
Why It Matters: Very new tokens (under 2 hours) often lack sufficient price discovery and holder base development. Tokens over several days old may have exhausted initial momentum. The ideal window depends on your strategy focus.
Holder Count
The number of unique wallet addresses holding the token indicates adoption breadth and decentralization.
Why It Matters: Higher holder counts generally indicate genuine community interest rather than concentrated holdings by a few wallets. However, holder count alone doesn't guarantee quality—distribution matters equally.
Token Migration Status
Tokens on pump.fun eventually migrate to decentralized exchanges (DEX) when reaching certain thresholds.
Why It Matters: Each migration stage offers different risk-reward profiles. Pre-migration tokens are cheaper but riskier. Post-migration tokens have proven themselves but often at higher prices.
Holder Distribution Criteria
These criteria analyze how tokens are distributed across wallet addresses, critical for detecting manipulation and rug pull risks.
Top Holder Percentage
The percentage of total supply held by the single largest wallet.
Why It Matters: When a single wallet controls large percentages, they can manipulate price through coordinated selling. Even legitimate developers holding 10%+ create dumping risk.
Top 10 Holder Concentration
Combined percentage held by the ten largest wallets.
Why It Matters: Even if the top holder percentage looks good, the top 10 combined might reveal coordinated control. Healthy projects show gradual distribution decrease from top to bottom holders.
Connected Wallet Detection
Identifies when multiple wallets are likely controlled by the same entity.
Why It Matters: Sophisticated manipulators spread holdings across multiple wallets to appear decentralized. Connected wallet detection reveals these schemes.
Social Media & Community Criteria
These criteria evaluate the token's social presence and community authenticity.
Twitter/X Requirements
Twitter presence often indicates project legitimacy and marketing effort.
Twitter Analysis Example:
Why It Matters: Authentic projects invest in social presence. Scammers often create Twitter accounts days before launch, buy fake followers, or show zero engagement despite thousands of followers.
Telegram Community
Telegram groups indicate community strength and developer communication.
Why It Matters: Active Telegram communities suggest engaged holders. Empty groups despite high member counts indicate purchased bots. Admin activity shows developer commitment.
Website & Documentation
Website presence and documentation quality signal project seriousness.
Why It Matters: Professional websites require time and investment. Scam projects often use template sites or skip websites entirely. Quality documentation demonstrates serious project planning.
Technical Analysis Criteria
These criteria evaluate price action, volume, and market behavior patterns.
Chart Pattern Recognition
The agent can identify and filter based on specific chart patterns.
Chart Pattern Examples:
Why It Matters: Chart patterns reveal market psychology and likely future price movement. Avoiding overextended pumps and recognizing healthy consolidation improves entry timing.
Volume Analysis
Trading volume indicates interest level and liquidity availability.
Volume Assessment Example:
Why It Matters: Healthy volume growth indicates genuine interest. Sudden spikes followed by collapse suggest coordinated pumps. Declining volume warns of fading momentum.
Price Action Behavior
How price moves relative to key levels and historical performance.
Why It Matters: Buying at all-time highs often leads to immediate drawdowns. Waiting for consolidation or pullbacks improves risk-reward ratios.
Security & Safety Criteria
These criteria assess smart contract security and rug pull risks.
Liquidity Status
Liquidity pool characteristics and lock status.
Why It Matters: Unlocked liquidity can be removed instantly, crashing the token price. Locked liquidity provides assurance developers can't rug pull through liquidity withdrawal.
Contract Ownership & Permissions
Smart contract control and authority settings.
Why It Matters: Active mint authority allows unlimited token creation, diluting holders. Unrenounced ownership enables malicious contract updates. These permissions create rug pull vectors.
DEX Listing & Verification
Whether the token has paid for DEX Screener listing and verification.
Why It Matters: Paying for DEX listing shows developer commitment (costs money). It also provides better market visibility and data access for analysis.
Signal Processing & Scoring
How Signals Are Generated
Signals transform raw market data into actionable intelligence through multi-layered analysis.
Signal Generation Pipeline:
Each signal type processes different data sources through specialized algorithms, producing normalized scores from 0-100 where higher values indicate stronger positive signals.
Primary Trading Signals
Buy Pressure Signal
Measures the balance and trend of buying versus selling activity.
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