{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-jackhuang166--ai-memecoin-trading-bot","slug":"jackhuang166--ai-memecoin-trading-bot","name":"ai-memecoin-trading-bot","type":"agent","url":"https://github.com/Jackhuang166/ai-memecoin-trading-bot","page_url":"https://unfragile.ai/jackhuang166--ai-memecoin-trading-bot","categories":["ai-agents"],"tags":["ai-crypto-trading-agent","ai-trading-agent","ai-trading-bot","autonomous-agent","base","base-memecoin-sniper","crypto-trading-bot","go","memecoin","memecoin-trading","solana","solana-ai-agent","solana-memecoin-ai-trader","solana-trading","trading-agent"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_0","uri":"capability://automation.workflow.real.time.token.discovery.and.honeypot.detection","name":"real-time token discovery and honeypot detection","description":"Continuously scans Solana and Base blockchain for newly deployed tokens using on-chain event listeners, then applies heuristic-based honeypot detection by analyzing contract code patterns, liquidity lock status, and owner privilege levels. The system fetches contract bytecode, parses for common rug-pull signatures (e.g., pausable transfers, owner mint functions), and cross-references against known malicious patterns to filter out scams before trading logic engages.","intents":["I want to automatically identify legitimate new tokens worth trading before they gain liquidity","I need to filter out honeypot tokens that will lock my funds or prevent sells","I want real-time alerts when new tokens matching my criteria appear on-chain"],"best_for":["Solana/Base traders automating token discovery","Developers building autonomous trading agents with risk controls","Teams deploying high-frequency memecoin sniper bots"],"limitations":["Honeypot detection is heuristic-based and may miss sophisticated obfuscated scams","Requires continuous RPC calls to scan new tokens, creating rate-limit pressure on endpoints","Cannot detect social engineering or post-launch rug pulls after liquidity is added"],"requires":["Solana RPC endpoint (Helius, QuickNode, or self-hosted validator)","Base RPC endpoint (Alchemy, Infura, or public endpoint)","Go 1.19+","Real-time blockchain indexing capability (likely using Geyser or similar)"],"input_types":["blockchain events (token creation logs)","contract bytecode (for analysis)","token metadata (symbol, decimals, supply)"],"output_types":["structured token data (address, creator, supply, liquidity status)","honeypot risk score (0-100)","trading recommendation (proceed/skip)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_1","uri":"capability://planning.reasoning.multi.agent.autonomous.trading.orchestration","name":"multi-agent autonomous trading orchestration","description":"Coordinates multiple specialized AI agents (analysis agent, execution agent, risk agent) that operate concurrently to evaluate trading opportunities, execute swaps, and enforce risk controls. Each agent runs independently with shared state, communicating via message passing or event-driven patterns to make trading decisions without human intervention. The architecture allows agents to specialize: one analyzes token fundamentals, another executes transactions, a third monitors portfolio risk in real-time.","intents":["I want multiple AI agents working in parallel to analyze and execute trades faster than sequential logic","I need specialized agents for different trading concerns (analysis, execution, risk) that can operate autonomously","I want agents to communicate and coordinate without blocking each other"],"best_for":["Teams building autonomous trading systems with complex decision logic","Developers needing concurrent, non-blocking agent execution","High-frequency traders requiring parallel analysis and execution"],"limitations":["Multi-agent coordination adds complexity in state consistency and race condition handling","Requires careful synchronization to prevent duplicate trades or conflicting decisions","Debugging multi-agent interactions is harder than sequential logic","Message passing overhead may add latency (typically 10-50ms per agent hop)"],"requires":["Go 1.19+ with goroutine support","Message queue or event bus (likely using channels or external broker)","Shared state management (in-memory or distributed cache)","Wallet/signer infrastructure for transaction execution"],"input_types":["token metadata and on-chain data","market conditions (price, volume, liquidity)","portfolio state (holdings, balances)","risk parameters (max loss, position size limits)"],"output_types":["trading decisions (buy/sell/hold with quantity)","executed transactions (tx hash, status)","agent logs and decision traces"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_2","uri":"capability://data.processing.analysis.win.probability.calculation.with.technical.and.on.chain.metrics","name":"win probability calculation with technical and on-chain metrics","description":"Analyzes token trading potential by combining technical indicators (price momentum, volume trends, volatility) with on-chain metrics (holder distribution, liquidity depth, transaction patterns) to compute a probabilistic win score. The system likely uses weighted scoring or machine learning inference to combine signals, outputting a 0-100 probability that a trade will be profitable within a defined timeframe. This informs position sizing and entry/exit decisions.","intents":["I want to quantify the likelihood a token trade will be profitable before committing capital","I need to rank tokens by trading potential to prioritize which ones to buy","I want to adjust position size based on win probability (higher confidence = larger position)"],"best_for":["Traders automating position sizing based on confidence scores","Developers building token ranking systems","Teams optimizing capital allocation across multiple trading opportunities"],"limitations":["Win probability is backward-looking and may not predict future market conditions","Memecoin markets are highly speculative; technical/on-chain signals may have low predictive power","Requires historical data for backtesting; limited history on new tokens reduces accuracy","Overfitting to past patterns may cause poor performance in novel market conditions"],"requires":["Historical price and volume data (from DEX or price oracle)","On-chain data source (Solscan, Basescan API, or blockchain RPC)","Technical indicator library (likely custom or using TA-Lib equivalent)","Optional: ML model for scoring (if using learned weights vs hardcoded heuristics)"],"input_types":["OHLCV data (open, high, low, close, volume)","on-chain metrics (holder count, liquidity, transaction volume)","token metadata (age, creator, supply)"],"output_types":["win probability score (0-100)","confidence interval or uncertainty estimate","breakdown of contributing factors (which signals drove the score)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_3","uri":"capability://tool.use.integration.automated.trade.execution.with.dex.routing.and.slippage.control","name":"automated trade execution with dex routing and slippage control","description":"Executes buy and sell orders on Solana and Base DEXes (Raydium, Uniswap, etc.) by constructing and signing transactions, routing through optimal liquidity pools to minimize slippage, and handling transaction confirmation. The system abstracts away DEX-specific APIs, likely using a unified swap interface that queries multiple pools, selects the best route, and executes with configurable slippage tolerance and gas price parameters. Includes retry logic for failed transactions and mempool monitoring.","intents":["I want to automatically buy tokens at the best available price across multiple DEXes","I need to execute trades with controlled slippage to avoid overpaying","I want to sell positions quickly when profit targets or stop losses are hit"],"best_for":["Autonomous trading bots that need to execute without manual intervention","Developers building DEX aggregators or trading frontends","High-frequency traders optimizing execution price and speed"],"limitations":["Slippage is unavoidable on low-liquidity tokens; high slippage can eliminate profits","Transaction failures due to mempool congestion or price movement between signing and execution","Front-running risk: transactions visible in mempool before execution, allowing MEV extraction","Gas fees on Solana are low but Base gas costs can be significant during network congestion"],"requires":["Solana RPC endpoint with transaction submission capability","Base RPC endpoint (Alchemy, Infura, or equivalent)","Wallet with private key or signer (e.g., Phantom, Ledger integration)","DEX SDK or routing library (Raydium SDK, Jupiter Aggregator API, Uniswap SDK)","Sufficient SOL/ETH for gas fees"],"input_types":["token pair (input token, output token)","amount to swap","slippage tolerance (percentage)","gas price parameters"],"output_types":["transaction hash","execution price and actual slippage","transaction status (success/failure)","filled amount and fees paid"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_4","uri":"capability://automation.workflow.real.time.portfolio.risk.monitoring.and.position.management","name":"real-time portfolio risk monitoring and position management","description":"Continuously tracks open positions, calculates portfolio-level risk metrics (total exposure, drawdown, win rate), and enforces hard stops (max loss per trade, max portfolio drawdown, position size limits). The system monitors each position's P&L in real-time, triggers stop-loss or take-profit orders when thresholds are breached, and prevents new trades if risk limits are exceeded. Likely uses a position tracker that updates on every price tick and a risk engine that evaluates constraints before trade execution.","intents":["I want to automatically stop losses when a trade moves against me beyond a threshold","I need to prevent my portfolio from losing more than X% in a day or week","I want to enforce position size limits so no single trade can blow up my account"],"best_for":["Autonomous traders needing automated risk controls to prevent catastrophic losses","Teams managing multiple trading bots with centralized risk oversight","Developers building risk management dashboards for trading systems"],"limitations":["Stop-loss orders may execute at worse prices during fast market moves (slippage)","Memecoin volatility can trigger stops prematurely, locking in losses before recovery","Position tracking requires real-time price feeds; stale prices lead to incorrect risk calculations","Hard stops may prevent participation in recovery rallies after temporary drawdowns"],"requires":["Real-time price feed (DEX price oracle, Pyth, Switchboard, or similar)","Position database (in-memory or persistent store like Redis/PostgreSQL)","Risk parameter configuration (max loss %, max position size, etc.)","Ability to execute stop-loss/take-profit orders (via DEX or limit order system)"],"input_types":["current positions (token, quantity, entry price)","current market prices","risk parameters (max loss %, max drawdown %, position size limits)","portfolio state (total capital, current balance)"],"output_types":["position P&L (per position and portfolio-level)","risk metrics (current drawdown %, win rate, Sharpe ratio)","risk alerts (position near stop loss, portfolio near max drawdown)","executed stop-loss/take-profit orders"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_5","uri":"capability://automation.workflow.web.dashboard.for.real.time.bot.monitoring.and.control","name":"web dashboard for real-time bot monitoring and control","description":"Provides a web-based UI for monitoring bot activity, viewing open positions, checking portfolio P&L, and manually controlling trading parameters (enable/disable trading, adjust risk limits, trigger manual trades). The dashboard connects to the bot via API or WebSocket, displaying real-time updates of trades executed, positions held, and risk metrics. Allows operators to pause the bot, adjust settings, or manually override decisions without restarting the system.","intents":["I want to see what trades my bot is executing in real-time","I need to monitor my portfolio P&L and risk metrics from a web interface","I want to pause or adjust bot parameters without stopping the entire system"],"best_for":["Traders running autonomous bots who need visibility into bot behavior","Teams managing multiple bots across different chains","Developers building trading bot management platforms"],"limitations":["Dashboard latency may lag actual bot execution by 100-500ms depending on update frequency","Manual overrides require careful handling to avoid race conditions with autonomous logic","Web interface security is critical; poor auth/encryption exposes trading keys and positions","Requires maintaining API/WebSocket connection; disconnection causes stale data"],"requires":["Web server framework (likely Go's net/http or similar)","WebSocket or polling mechanism for real-time updates","Frontend framework (React, Vue, or vanilla JS)","API authentication (JWT, API keys, or similar)","HTTPS/TLS for secure communication"],"input_types":["bot state (running/paused, current positions, recent trades)","portfolio metrics (balance, P&L, risk metrics)","user commands (pause/resume, adjust parameters, manual trade)"],"output_types":["HTML/JSON dashboard displaying bot status","real-time updates via WebSocket","trade history and position details","performance charts and metrics"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_6","uri":"capability://data.processing.analysis.configurable.trading.strategy.parameters.and.backtesting","name":"configurable trading strategy parameters and backtesting","description":"Allows traders to define and adjust trading strategy parameters (entry signals, exit rules, position sizing, risk limits) via configuration files or UI, and provides backtesting capability to evaluate strategy performance on historical data before deploying live. The system likely loads strategy configs, replays historical market data, simulates trades, and reports metrics (win rate, Sharpe ratio, max drawdown) to validate strategy viability. Enables rapid iteration on strategy tuning without risking capital.","intents":["I want to test my trading strategy on historical data before running it live","I need to adjust strategy parameters (entry signals, position size) without recompiling code","I want to compare different strategy configurations to find the best one"],"best_for":["Traders developing and optimizing trading strategies","Developers building strategy backtesting frameworks","Teams evaluating multiple trading approaches before deployment"],"limitations":["Backtesting assumes perfect execution; real slippage, fees, and market impact are often worse","Historical performance does not guarantee future results, especially in memecoin markets","Overfitting to historical data is common; strategies that work on past data may fail live","Backtesting cannot account for black swan events or regime changes"],"requires":["Historical OHLCV data (from DEX, price oracle, or data provider)","Strategy configuration format (YAML, JSON, or custom DSL)","Backtesting engine (custom or using existing framework like Backtrader)","Performance metrics calculation (win rate, Sharpe, drawdown, etc.)"],"input_types":["strategy configuration (entry/exit rules, position sizing, risk limits)","historical market data (OHLCV, on-chain metrics)","backtesting parameters (date range, initial capital, fees)"],"output_types":["backtest results (trades executed, P&L, win rate)","performance metrics (Sharpe ratio, max drawdown, profit factor)","equity curve and drawdown chart","trade-by-trade analysis"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_7","uri":"capability://tool.use.integration.multi.chain.wallet.management.and.transaction.signing","name":"multi-chain wallet management and transaction signing","description":"Manages private keys and signs transactions for both Solana and Base blockchains, supporting multiple wallet formats (keypair files, seed phrases, hardware wallet integration). The system securely stores credentials, constructs unsigned transactions, signs them with the appropriate key, and submits to the blockchain. Handles chain-specific signing requirements (Solana's recent blockhash, Base's EIP-1559 gas pricing) transparently to the trading logic.","intents":["I want to securely manage private keys for trading on Solana and Base","I need to sign transactions for both chains without exposing keys to the trading logic","I want to support hardware wallets for enhanced security"],"best_for":["Autonomous trading bots requiring secure key management","Developers building multi-chain trading systems","Teams deploying bots with hardware wallet support for enhanced security"],"limitations":["Private key storage is a critical security risk; compromise exposes all funds","Hardware wallet integration adds latency (typically 1-5 seconds per transaction)","Key rotation and backup procedures are complex and error-prone","No built-in key recovery if private key is lost"],"requires":["Secure key storage (environment variables, encrypted files, or HSM)","Solana SDK (solana-go or similar) for Solana transaction signing","Base/Ethereum SDK (go-ethereum or similar) for Base transaction signing","Optional: Hardware wallet library (Ledger, Trezor support)"],"input_types":["private key or seed phrase","unsigned transaction (Solana or Base format)","chain identifier (Solana or Base)"],"output_types":["signed transaction ready for submission","transaction hash after submission","signature verification status"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackhuang166--ai-memecoin-trading-bot__cap_8","uri":"capability://automation.workflow.event.driven.architecture.with.real.time.blockchain.monitoring","name":"event-driven architecture with real-time blockchain monitoring","description":"Uses event listeners to monitor blockchain state changes (new tokens, price updates, holder changes) and triggers trading logic reactively rather than polling. The system subscribes to relevant events (token creation, swap events, transfer events), processes them asynchronously, and updates internal state. This architecture enables low-latency response to market opportunities and reduces RPC load compared to continuous polling.","intents":["I want to react to new token deployments instantly without polling","I need to monitor price and holder changes in real-time to catch opportunities","I want to reduce RPC load by using event listeners instead of polling"],"best_for":["High-frequency trading bots requiring low-latency event processing","Developers building event-driven blockchain applications","Teams optimizing RPC usage and reducing infrastructure costs"],"limitations":["Event listeners may miss events if the indexer goes down or falls behind","Requires reliable event source (Geyser, Helius, or similar); unreliable sources cause missed trades","Event processing latency depends on indexer performance; slower indexers delay trading signals","Requires careful handling of event ordering and duplicate events"],"requires":["Blockchain event indexer (Geyser for Solana, Alchemy Notify for Base, or custom indexer)","Event subscription mechanism (WebSocket, gRPC, or HTTP webhooks)","Event processing queue (channels, message broker, or similar)","State management to track processed events and prevent duplicates"],"input_types":["blockchain events (token creation, swap, transfer, holder changes)","event metadata (timestamp, block number, transaction hash)"],"output_types":["processed events triggering trading logic","event processing logs and metrics","alerts for missed or delayed events"],"categories":["automation-workflow","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Solana RPC endpoint (Helius, QuickNode, or self-hosted validator)","Base RPC endpoint (Alchemy, Infura, or public endpoint)","Go 1.19+","Real-time blockchain indexing capability (likely using Geyser or similar)","Go 1.19+ with goroutine support","Message queue or event bus (likely using channels or external broker)","Shared state management (in-memory or distributed cache)","Wallet/signer infrastructure for transaction execution","Historical price and volume data (from DEX or price oracle)","On-chain data source (Solscan, Basescan API, or blockchain RPC)"],"failure_modes":["Honeypot detection is heuristic-based and may miss sophisticated obfuscated scams","Requires continuous RPC calls to scan new tokens, creating rate-limit pressure on endpoints","Cannot detect social engineering or post-launch rug pulls after liquidity is added","Multi-agent coordination adds complexity in state consistency and race condition handling","Requires careful synchronization to prevent duplicate trades or conflicting decisions","Debugging multi-agent interactions is harder than sequential logic","Message passing overhead may add latency (typically 10-50ms per agent hop)","Win probability is backward-looking and may not predict future market conditions","Memecoin markets are highly speculative; technical/on-chain signals may have low predictive power","Requires historical data for backtesting; limited history on new tokens reduces accuracy","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.1858049298165455,"quality":0.53,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.550Z","last_scraped_at":"2026-04-22T08:01:58.579Z","last_commit":"2025-11-17T05:51:31Z"},"community":{"stars":66,"forks":25,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=jackhuang166--ai-memecoin-trading-bot","compare_url":"https://unfragile.ai/compare?artifact=jackhuang166--ai-memecoin-trading-bot"}},"signature":"9rX4pf2JjWyE7TBvyTR09qxo5b4x9bJEWYO0fVMpEaUveIh7+JVy0h+WAtL9ZY0dQjJhjZuCxFdqL61kNTs8AQ==","signedAt":"2026-06-21T11:49:36.281Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/jackhuang166--ai-memecoin-trading-bot","artifact":"https://unfragile.ai/jackhuang166--ai-memecoin-trading-bot","verify":"https://unfragile.ai/api/v1/verify?slug=jackhuang166--ai-memecoin-trading-bot","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}