Graduation (Lore Vision)
Last updated
Last updated
The Graduation Page represents the heart of the LORE platform, functioning as the primary interface for tracking tokens that have successfully completed PumpFun's graduation process. This page is meticulously designed to enhance the trading experience when finding real-time opportunities, showcasing tokens at various stages of their post-graduation journey.
When a token completes all automated AI agent analyses and its data is fully processed, it makes its debut on the LORE Graduation Page. Newly graduated tokens enjoy a privileged 30-minute window in the "newly graduated" filter, providing them with valuable visibility and essentially free promotion to the LORE user base.
This initial exposure period serves as a critical juncture in a token's lifecycle—the moment when it first presents itself to a wider audience beyond the initial PumpFun users. After this 30-minute spotlight, tokens are categorized and filtered based on their market cap, moving into appropriate sections that reflect their current status and potential.
Following the initial exposure period, tokens are sorted into various market cap categories:
High Cap: Tokens with market caps exceeding $1M
Medium Cap: Tokens with market caps between $350K and $1M
Low Cap: Tokens with market caps below $350K
This classification helps traders quickly identify opportunities that match their risk tolerance and investment strategy. The categorization is dynamic, with tokens moving between categories as their market caps fluctuate in response to trading activity.
The post-graduation phase is often marked by what we call "post-bond jitters"—a period when early gamblers begin taking initial profits or full clipping their gains. This common pattern can significantly impact a token's trajectory, and the Survival Section is designed to highlight tokens experiencing these critical moments.
Tokens enter "survival mode" when their market cap drops below a specific threshold. This threshold is calculated based on the 24-hour average market cap of all graduated tokens, ensuring it remains responsive to overall market conditions. The Survival Section serves dual purposes:
Drawing attention to tokens that require support to recover from dips
Highlighting tokens potentially headed for a quick demise
When marked as "survival," a token has exactly 5 minutes to regain a market cap above the threshold. A real-time countdown shows exactly how much time remains before potential failure. If successful in recovering, the token returns to the main graduated list, continuing its journey. However, no token is immune from future relegation to survival status should its market cap fall below the threshold again.
Tokens that plummet below the critical market cap threshold—defined as the PumpFun starting market cap plus 10%—are immediately marked as failed without entering the survival period. This swift action helps maintain the quality of the main list by quickly filtering out tokens showing signs of catastrophic decline.
The Token Graveyard serves as the final resting place for tokens that have failed to maintain minimum viability. While it might seem merely archival, the Graveyard actually serves important functions within the LORE ecosystem:
Quality Control: It keeps the main list focused on viable, actively traded tokens
Trend Intelligence: It provides valuable data for trend analysis—when clusters of similar tokens enter the graveyard within a close timeframe, this signals potential shifts in market sentiment or reactions to real-time events
Historical Reference: It maintains a record of failed narratives and approaches, creating learning opportunities for traders and developers alike
The Graveyard includes comprehensive failure information for each token, including the exact time of failure and the specific reason (market cap drop, survival period exceeded, long-term inactivity, etc.).
To maintain focus on current opportunities, LORE actively tracks graduated tokens for a 7-day period before archiving them in the LORE hall of fame. This timeframe was carefully selected to balance comprehensive monitoring with the platform's emphasis on fresh opportunities. The graduation page is specifically designed for real-time trading discovery rather than historical analysis.
As LORE evolves, we may explore options to track tokens for longer periods and provide analysis on a wider range of tokens beyond just those that have graduated from PumpFun. For now, this focused approach ensures clean data research without interference from bespoke Solana contracts and the wider market.
At the top of the Graduation Page, LORE showcases a curated selection of standout tokens in the Featured Section. This prominent placement is powered by a specialized Featured Agent that continuously analyzes active graduated tokens to identify those with exceptional potential.
The Featured Agent makes its selections based on a sophisticated multi-factor analysis looking at:
High volume and trading activity
Substantial and growing holder counts
Smart wallet accumulation and interest
Strong LORE narrative scores and trend alignment
Market cap momentum and velocity
Social media traction and community engagement
Each featured placement serves as a powerful spotlight—an opportunity for a free boost toward a token's potential moonshot. The Featured Section organizes tokens into specific categories:
Highest Gainer: The token with the strongest market cap performance
Fastest Runner: The token showing the most rapid price appreciation
Gamble Pick: A moderate market cap token with strong holder metrics and significant price movement potential
These featured positions are highly dynamic, with tokens moving in and out of featured status in real-time as market conditions evolve. Think of it as LORE's own version of "king of the hill"—or more appropriately, "king of the LORE castle"—where tokens compete for visibility based on performance metrics and narrative strength.
The Featured Agent doesn't just select tokens; it also refreshes their data to ensure the most up-to-date information is presented, continually improving its decision-making process through real-world performance feedback.
