Automate Trade
π Auto Swap Buy by Tweet
Kolective takes automatically buying tokens based on KOL signals. This ensures users can effortlessly follow expert traders without manually entering positions.
π How Auto-Buy Works?
1οΈβ£ AI Monitors KOL Tweets π
When a followed KOL posts a "Buy" signal (analyzed by AI), the AI agent wallet verifies if the tweet is still valid (not expired or already reaching the target price).
2οΈβ£ Automatic Token Allocation π
The total USDC token balance in the AI agent wallet is divided proportionally among all active buy signals from different KOL tweets.
Each token purchase is allocated based on the percentage split across the latest trade opportunities.
3οΈβ£ Trade Execution π
AI automatically executes the buy order for the identified token based on KOL signals, ensuring timely market entry without manual intervention.
4οΈβ£ Real-Time Portfolio Adjustment π
As new KOL tweets emerge, the AI dynamically reallocates the USDC token balance across new trade opportunities while ensuring optimal risk management.
π Example Allocation
Suppose the AI agent wallet has 1000 USDC tokens, and there are 4 active buy signals from different KOL tweets.
The AI divides the 1000 USDC tokens proportionally across the opportunities:
KOL 1 Tweet (Token A): 25% β 250 USDC
KOL 2 Tweet (Token B): 30% β 300 USDC
KOL 3 Tweet (Token C): 20% β 200 USDC
KOL 4 Tweet (Token D): 25% β 250 USDC
With AI-driven auto-buy and smart allocation π₯, Kolective ensures users never miss out on profitable opportunities, making trading seamless, efficient, and data-driven. π
π Auto Swap Sell
Kolective simplifies the trading experience by enabling AI-driven automated execution, eliminating the need for constant market monitoring. Once a user allocates USDC tokens to a selected KOL, the AI agent wallet automatically executes trades based on predefined triggers.
π Exit Triggers: When to Sell?
1οΈβ£ KOL Sell Signal π’
If the KOL tweets a βSellβ action for a token that the user holds, the AI agent wallet automatically exits the position, ensuring the user follows the expert's real-time strategy.
2οΈβ£ Target Profit Reached π°
AI calculates the average daily profit of the KOL. If the userβs profit matches or exceeds this daily average, the system automatically sells to lock in gains.
3οΈβ£ Auto Cut-Loss (CL) Based on Risk Profile β οΈ
To protect users from excessive losses, Kolective applies an automated stop-loss strategy based on the user's risk profile:
π‘οΈ Conservative β Exit if the loss reaches 5%.
βοΈ Balanced β Exit if the loss reaches 10%.
π Aggressive β Exit if the loss reaches 15%.
4οΈβ£ Manual Trigger by User β
Users have full control to manually exit positions at any time through the Kolective dashboard, providing flexibility and control over their investments.
With AI-driven trade automation π€, risk-adjusted strategies π, and manual override options ποΈ, Kolective ensures users can maximize profits while minimizing risksβwithout the stress of constant market monitoring.
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