Solana Copy Trading API: Detect and Classify Copy Traders on Solana

Swap records begin May 2025 across every supported Solana DEX platform. Token creator data reaches back to chain start. Wallet age data from the Address Registry starts October 2024. Copy trade detection runs against the full available swap history.

Raydium (all variants), Pump.fun, PumpSwap, Meteora, Orca, Jupiter, LetsBonk, Boop.fun, Bonk.fun, LaunchLab, and more. New platforms are typically supported within days of launch. Copy trade patterns are analyzed across all of them.

Every transaction passes through rules that strip transfers, airdrops, dust, and MEV from profit calculations. For copy trader wallets specifically, filtered PnL reveals actual trading performance separate from the copied trades’ mechanical execution. Each response includes excluded item counts.

Bulk endpoints support up to 100,000 wallet addresses per request. Run copy trade classification across large wallet lists in a single call. Most crypto APIs can only process one wallet address at a time.

Solana RPC returns raw transaction data: signatures, account state, sol transfers. Identifying copy trading patterns from raw RPC output requires building your own indexer, correlating trade timing across wallets, computing similarity scores, and classifying master/copy relationships manually.Our API does all of that. We ingest Solana blockchain data through dedicated Yellowstone gRPC streams using the Geyser plugin, parse every swap across all supported DEX platforms, and run automated copy trade classification on top. The endpoint returns master/copy labels, similarity scores, and trade execution timing. No node, no indexer, no custom analytics pipeline.

Full documentation is provided upon access. Every endpoint includes request and response schemas, rate limits, and example payloads.

Contact us with your use case. Plans start at $250/mo with custom configurations for high-volume applications.

Built for DeFi and crypto trading applications. Signal groups that surface profitable master wallets. Telegram bots that alert on copy trade activity. Analytics platforms tracking trading strategies across the Solana ecosystem. Automated trading research pipelines and fund due diligence tools all connect through the same REST endpoints.

Detection only. Our Solana copy trading API analyzes on-chain swap data to classify wallets as master traders or copy traders. It identifies who is being copied, measures similarity between wallet addresses, and computes timing gaps between original and copied trades. It does not execute trades, route orders to any Solana DEX, or interact with liquidity pools. If you need trade execution, you would use a separate tool like Jupiter or a custom Solana trading bot. Our API provides the intelligence layer: the data that tells you which wallets are worth copying.

The system analyzes swap records across every supported DEX, correlating trade timing, token overlap, and execution patterns between wallet addresses. When two wallets consistently trade the same tokens within narrow time windows, the API classifies the relationship: which wallet is the master (trades first) and which is the copy (trades after). Similarity scores quantify how closely one wallet mirrors another. The detection runs across millions of on-chain transactions to catch both obvious and subtle copy trade patterns.

Our API provides the detection and classification layer for building an automated copy trading bot. You can identify which Solana traders are consistently profitable, which wallets are already being copied by others, and how closely a copy wallet tracks its master. That intelligence feeds directly into copy trading bot logic for a sol trading bot or any automated trading system. The bot itself handles trade execution through Solana RPC or an aggregator like Jupiter. Our data tells you who to copy and how reliable that selected trader’s track record is. Fully automated copy trading requires pairing our detection data with an execution layer that can execute a trade when the master wallet moves.

Copy trader detection data supports multiple trading strategies. Identify seasoned traders with consistent win rates and mirror their positions. Build advanced trading systems that filter master wallets by token type, hold time, or profit threshold. Successful traders on Solana often specialize in specific launchpads or token categories. The API reveals those patterns so you can select traders whose strategy aligns with your approach. Fund managers use the data to evaluate trader performance before allocating capital.

For real-time copy trading detection, the underlying data pipeline uses Yellowstone gRPC streams connected through the Geyser plugin on dedicated nodes. Swap events are processed as they happen, which means copy trade patterns appear in the data shortly after on-chain execution. RPC providers and standard REST polling introduce delays. Our streaming data infrastructure minimizes that gap. For the lowest latency detection, contact us about stream real-time access options through Geyser gRPC feeds.

No. Our copy trading API provides detection and analytics data, not trade execution. For stop loss and limit orders, use your trading bot’s execution layer, whether that is a custom Solana program, Jupiter, or another DEX aggregator. Our API tells you which wallets to watch, which trades they execute, and how they perform. The execution decision and order management remain on your side.

Copy trading signals often originate from Telegram groups, Discord channels, and social media callouts. Our API detects the on-chain result: when multiple wallets execute similar swaps on the same tokens within narrow time windows, the pattern shows up regardless of where the signal originated. On-chain events across all supported decentralized exchanges are analyzed. Swap fees, wallet address patterns, and execution timing all factor into the classification. Whether the copy trading happens through a Pump.fun Telegram group or a private signal channel, the on-chain footprint is the same, and our API captures it. Detection covers high-speed execution patterns and low fees environments alike.