solana-memecoin-tradeAutonomously discovers and trades Solana memecoins by copying smart wallets, analyzing markets, detecting social trends, and enforcing strict on-chain risk c...
Install via ClawdBot CLI:
clawdbot install binance237a-hash/solana-memecoin-tradeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.dexscreener.com/latest/dex/tokens/${mint}`;Uses known external API (expected, informational)
api.x.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A retail trader uses this skill to automate entry into Solana memecoins by copying high-performing wallets and leveraging AI analysis, reducing manual research time while enforcing strict risk controls to avoid losses from rug pulls. It allows non-expert traders to participate in volatile markets with built-in safety mechanisms.
An investment fund deploys this skill to diversify into high-risk memecoin opportunities with automated oversight, using its risk gate and rug pull protection to mitigate downside in speculative assets. The AI-driven analysis helps identify trends while ensuring compliance with fund safety protocols.
A crypto influencer utilizes the narrative detection engine to capitalize on viral trends from platforms like X, entering related tokens early while relying on the skill's validation to avoid scams. This enables leveraging social clout for timely trades without compromising security.
A fintech education platform integrates this skill as a case study for teaching automated trading strategies, demonstrating real-world applications of AI analysis, copy trading, and risk management in crypto markets. Users can run it in paper trading mode to learn without financial risk.
A decentralized finance protocol employs this skill to monitor and trade memecoins that could impact its liquidity pools, using the risk gate to avoid tokens with unsafe on-chain attributes. It helps maintain protocol stability by exiting positions during rug pull signals.
Offer tiered subscription plans (e.g., basic, pro) for users to access the skill's features, with higher tiers including advanced analytics or priority support. Revenue is generated through monthly or annual fees, appealing to traders seeking automated tools without upfront development costs.
Charge users a percentage of profits generated by the skill's trades, aligning incentives with successful outcomes. This model attracts users by minimizing upfront costs and sharing risk, with revenue scaling based on trading performance and capital deployed.
License the skill to cryptocurrency exchanges or trading platforms as a built-in feature for their users, providing enhanced trading capabilities. Revenue comes from licensing fees or revenue-sharing agreements, leveraging the skill's AI and risk management for broader market adoption.
💬 Integration Tip
Ensure API keys for data sources like DexScreener and Jupiter Swap are securely stored, and test in paper trading mode before live deployment to validate configurations.
Scored Apr 19, 2026
AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.
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