Trading
Trade Execution Process
Trading Workflow
Agent 3 is responsible for executing trades based on instructions from Agent 2. It ensures fast execution and protection against MEV attacks. By leveraging real-time market data and private transaction relayers, Agent 3 optimizes trade performance while adapting to market conditions.
Optimizes Trade Route: Chooses the best liquidity sources to minimize slippage and maximize returns.
Fetches Market Data: It verifies the latest market conditions using price oracles and DEX aggregators.
Receives Trade Instructions: Agent 3 receives structured trade signals from Agent 2, including token pairs, trade size, slippage tolerance, and priority settings
Executes the Trade: Submits the transaction with MEV protection to prevent front-running.
Monitors Execution: Confirms the trade status, logs performance data, and sends feedback to Agent 1.
Token Selection Process
Agent 3 doesn't trade every token. It begins with a predefined set of criteria but evolves over time by analyzing past trades, market trends, and social sentiment. In Phase 1, the very first trade executed by Agent 3 will be on the TRIOLET token, ensuring all systems are functioning properly. Then it trades tokens that meet the basic requirements, later refining its approach based on real trading performance.
Initial Token Selection Criteria
At launch, Agent 3 will execute trades on the TRIOLET token, later Bonk/Pump.fun tokens that meet the predefined conditions.
These initial parameters allow Agent 3 to experiment and establish a foundational understanding of profitable token behavior.
Token Discovery Process
Liquidity Analysis: Checks if the token has enough liquidity for smooth trading without high slippage.
Whale Activity: Monitors large wallet movements to detect potential accumulation or sell-offs.
Trend Analysis: Tracks historical price patterns to identify breakout points.
Social Sentiment Monitoring: Analyzes social media mentions, influencer tweets, and community hype.
Smart Contract Safety Check: Ensures the token’s smart contract is not malicious or blacklisted.
Key Requirements for a Token to be Traded
At Phase 1, the bot will experiment with each requirement, testing different thresholds and evaluating their impact on profitability. Over time, it will develop its own dynamic criteria, continuously adjusting and reconsidering requirements based on trade outcomes, profit trends, and risk factors.
Adaptive Self-Improvement
Agent 3 continuously evaluates its performance and refines its token selection strategy. This feedback-driven adaptation ensures that Agent 3 remains efficient in a constantly evolving market.
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