Solana MEV Bot - Flashloan Arbitrage Trading Bot

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A high-performance Solana MEV (Maximal Extractable Value) bot built in Rust, designed for atomic flashloan-based arbitrage across multiple DEXs. This bot leverages real-time mempool monitoring, advanced routing, and flashloan execution to capture arbitrage opportunities on Solana with maximum efficiency and security.

Solana Arbitrage Bot Architecture

Important note: On-chain arbitrage programs face several limitations and risks:

1. MEV Competition
2. Searchers and validators can front-run transactions
3. Transaction ordering can be manipulated

4. Limited control over execution timing

5. Technical Constraints

6. Compute unit limitations for complex calculations
7. Transaction size limits for multi-hop trades

8. Higher latency compared to off-chain solutions

9. Recommended Approach

10. Use off-chain arbitrage detection
11. Submit transactions through MEV-aware RPC providers

12. Consider integrating with Jito-MEV for better execution

13. Alternative Architecture mermaid graph TD A[Off-chain Monitor] --> B[Price Analysis] B --> C[Opportunity Detection] C --> D[Transaction Builder] D --> E[MEV-aware RPC] E --> F[Validator Network]

The original implementation should be considered as educational material rather than a production-ready solution. For real-world arbitrage:

• Use off-chain monitoring and calculations
• Integrate with MEV-aware infrastructure
• Consider validator relationships for better transaction placement
• Implement proper slippage and risk management

Overview

This arbitrage bot implements advanced strategies for detecting and executing profitable trading opportunities across multiple Solana DEXs including Raydium, Orca (Whirlpool), Meteora, and Jupiter, with optional integration for Jito-MEV. Visulize about logic and architecture diagram. I newly added solana-program in 2025 for developer who give me stars on github. It can be useful who are going to implement arbitrage bot on solana blockchain. I hope it will be useful for you. If you have any question, please let me know. I will be happy to help you.

graph TD
    A[Price Monitor] --> B[Opportunity Detector]
    B --> C{Strategy Selector}
    C --> D[Two-Hop Strategy]
    C --> E[Triangle Strategy]
    C --> F[Multi-DEX Strategy]
    D --> G[Execution Engine]
    E --> G
    F --> G
    G --> H[Transaction Builder]
    H --> I[MEV Bundle/Transaction]

Core Components

1. Price Monitoring System

• Real-time price monitoring across DEXs
• WebSocket connections for instant updates
• Price impact calculation
• Liquidity depth analysis

2. Strategy Types

A. Two-Hop Arbitrage

Example from Transaction Analysis:

Input: 0.196969275 Token A
↓ [Meteora DEX]
Intermediate: 146.90979292 Token B
↓ [Raydium DEX]
Output: 0.202451396 Token A
Profit: ~2.78%

B. Triangle Arbitrage

Example Pattern:

Token A → Token B [Meteora]
Token B → Token C [Meteora]
Token C → Token A [Raydium]

C. Multi-DEX Arbitrage

Example from Whirlpool-Orca Route:

Input: 0.314737179 Token A
↓ [Orca]
Mid: 118.612731091 Token B
↓ [Whirlpool]
Output: 0.316606012 Token A
Profit: ~0.59%

3. Execution Methods

Priority Queue:

1. Profitability Check
2. Minimum profit threshold: 0.5%
3. Gas cost estimation

4. Slippage calculation

5. Route Optimization

6. DEX selection based on:

   • Liquidity depth
   • Historical success rate
   • Gas efficiency

7. Transaction Building typescript // Example structure const route = { steps: [ {dex: "Meteora", tokenIn: "A", tokenOut: "B"}, {dex: "Raydium", tokenIn: "B", tokenOut: "A"} ], expectedProfit: "2.78%", gasEstimate: 200000 };

Risk Management

1. Slippage Protection

• Dynamic slippage calculation
• Maximum slippage: 1%
• Route abandonment on excessive slippage

2. Transaction Monitoring

• Success rate tracking
• Gas price optimization
• Failed transaction analysis

3. Position Sizing

• Dynamic position sizing based on:
• Available liquidity
• Historical volatility
• Success probability

Performance Metrics

Target Metrics:

• Minimum profit per trade: 0.5%
• Maximum gas cost: 0.002741081 SOL
• Transaction success rate: >95%

Implementation Guidelines

1. DEX Integration Priority

1. Meteora: Primary DEX for initial swaps
2. Raydium: Secondary DEX for route completion
3. Orca Whirlpool: Specialized for concentrated liquidity
4. Jupiter: Aggregation and backup routes

2. Transaction Flow

sequenceDiagram
    participant Bot
    participant DEX1
    participant DEX2
    participant Blockchain

    Bot->>DEX1: Monitor Prices
    Bot->>DEX2: Monitor Prices
    Bot->>Bot: Detect Opportunity
    Bot->>Blockchain: Build Transaction
    Blockchain->>DEX1: Execute Swap 1
    Blockchain->>DEX2: Execute Swap 2
    DEX2->>Bot: Confirm Profit

3. Error Handling

• Retry mechanism for failed transactions
• Fallback routes on primary route failure
• Automatic circuit breaker on consecutive failures

Configuration

const config = {
  minProfitThreshold: 0.005, // 0.5%
  maxSlippage: 0.01, // 1%
  gasLimit: 900000,
  dexPriority: ['meteora', 'raydium', 'orca-whirlpool', 'jupiter'],
  monitoringInterval: 1000, // 1 second
  retryAttempts: 3
};

Best Practices

1. Always maintain sufficient balance for gas fees
2. Implement proper error handling and logging
3. Regular monitoring of DEX contract updates
4. Maintain fallback routes for each strategy
5. Regular performance analysis and strategy adjustment

Rust Implementation Details

On-Chain Program Structure

// Program entrypoint and state management
#[program]
pub mod solana_arbitrage {
    use super::*;

    #[state]
    pub struct ArbitrageState {
        pub owner: Pubkey,
        pub profit_threshold: u64,
        pub active_routes: u64,
    }

    // Initialize the arbitrage program
    #[access_control(Initialize::accounts(&ctx))]
    pub fn initialize(ctx: Context<Initialize>) -> Result<()> {
        // Implementation
    }

    // Execute arbitrage route
    pub fn execute_arbitrage(ctx: Context<ExecuteArbitrage>, route_data: RouteData) -> Result<()> {
        // Implementation
    }
}

// Account validation structures
#[derive(Accounts)]
pub struct ExecuteArbitrage<'info> {
    #[account(mut)]
    pub user: Signer<'info>,
    #[account(mut)]
    pub user_token_account_a: Account<'info, TokenAccount>,
    #[account(mut)]
    pub user_token_account_b: Account<'info, TokenAccount>,
    pub token_program: Program<'info, Token>,
    // DEX program accounts
    pub raydium_program: Program<'info, Raydium>,
    pub orca_program: Program<'info, Orca>,
    pub meteora_program: Program<'info, Meteora>,
}

Cross-Program Invocation (CPI) Integration

// DEX integration modules
pub mod dex {
    pub mod meteora {
        use anchor_lang::prelude::*;

        pub fn swap(
            ctx: Context<MeteoraSwap>,
            amount_in: u64,
            minimum_amount_out: u64
        ) -> Result<()> {
            // Implementation
        }
    }

    pub mod raydium {
        use anchor_lang::prelude::*;

        pub fn swap(
            ctx: Context<RaydiumSwap>,
            amount_in: u64,
            minimum_amount_out: u64
        ) -> Result<()> {
            // Implementation
        }
    }

    pub mod orca {
        use anchor_lang::prelude::*;

        pub fn whirlpool_swap(
            ctx: Context<OrcaSwap>,
            amount_in: u64,
            sqrt_price_limit: u128
        ) -> Result<()> {
            // Implementation
        }
    }
}

Off-Chain Client Implementation

use anchor_client::solana_sdk::{
    commitment_config::CommitmentConfig,
    signature::{Keypair, Signer},
    transaction::Transaction,
};

pub struct ArbitrageClient {
    cluster: Cluster,
    wallet: Keypair,
    commitment: CommitmentConfig,
}

impl ArbitrageClient {
    // Monitor price feeds across DEXs
    pub async fn monitor_prices(&self) -> Result<Vec<PriceData>> {
        // Implementation using websocket connections
    }

    // Calculate optimal arbitrage route
    pub fn calculate_route(&self, prices: Vec<PriceData>) -> Option<RouteData> {
        // Implementation
    }

    // Execute arbitrage transaction
    pub async fn execute_route(&self, route: RouteData) -> Result<Signature> {
        // Implementation
    }
}

// Price monitoring implementation
#[derive(Debug)]
pub struct PriceMonitor {
    websocket_clients: Vec<WebSocketClient>,
    price_cache: Arc<RwLock<HashMap<String, PriceData>>>,
}

impl PriceMonitor {
    pub async fn start_monitoring(&self) -> Result<()> {
        // Implementation
    }

    pub fn get_latest_prices(&self) -> HashMap<String, PriceData> {
        // Implementation
    }
}

Error Handling and Custom Types

#[error_code]
pub enum ArbitrageError {
    #[msg("Insufficient profit margin")]
    InsufficientProfit,
    #[msg("Slippage tolerance exceeded")]
    SlippageExceeded,
    #[msg("Invalid route configuration")]
    InvalidRoute,
    #[msg("Insufficient liquidity")]
    InsufficientLiquidity,
}

#[derive(AnchorSerialize, AnchorDeserialize, Clone, Debug)]
pub struct RouteData {
    pub steps: Vec<SwapStep>,
    pub min_profit_lamports: u64,
    pub deadline: i64,
}

#[derive(AnchorSerialize, AnchorDeserialize, Clone, Debug)]
pub struct SwapStep {
    pub dex_program_id: Pubkey,
    pub pool_id: Pubkey,
    pub token_in: Pubkey,
    pub token_out: Pubkey,
    pub amount_in: u64,
    pub minimum_amount_out: u64,
}

Configuration and Constants

pub mod constants {
    use solana_program::declare_id;

    // Program IDs
    declare_id!("ArbitrageProgram11111111111111111111111111111111");

    // DEX Program IDs
    pub const RAYDIUM_PROGRAM_ID: &str = "675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8";
    pub const ORCA_WHIRLPOOL_PROGRAM_ID: &str = "whirLbMiicVdio4qvUfM5KAg6Ct8VwpYzGff3uctyCc";
    pub const METEORA_PROGRAM_ID: &str = "M2mx93ekt1fmXSVkTrUL9xVFHkmME8HTUi5Cyc5aF7K";

    // Configuration Constants
    pub const MIN_PROFIT_THRESHOLD: u64 = 5000; // 0.5% in bps
    pub const MAX_SLIPPAGE: u64 = 10000;        // 1% in bps
    pub const MAX_COMPUTE_UNITS: u32 = 900_000;
    pub const PRIORITY_FEES: u64 = 1_000;       // lamports
}

Build and Test Instructions

# Build the program
cargo build

# Run 
cargo run

Testing Framework

#[cfg(test)]
mod tests {
    use super::*;
    use solana_program_test::*;

    #[tokio::test]
    async fn test_arbitrage_execution() {
        // Test implementation
    }

    #[tokio::test]
    async fn test_slippage_protection() {
        // Test implementation
    }

    #[tokio::test]
    async fn test_profit_calculation() {
        // Test implementation
    }
}

Security Considerations

1. Transaction Atomicity rust // Ensure all swaps in the route are atomic #[invariant(check_atomic_execution)] pub fn execute_route(ctx: Context<ExecuteRoute>, route: RouteData) -> Result<()> { // Implementation with require! macro for validation }

2. Slippage Protection rust // Implement slippage checks pub fn check_slippage( amount_expected: u64, amount_received: u64, max_slippage_bps: u64 ) -> Result<()> { // Implementation }

3. Deadline Validation rust // Validate transaction deadline pub fn validate_deadline(deadline: i64) -> Result<()> { require!( Clock::get()?.unix_timestamp <= deadline, ArbitrageError::DeadlineExceeded ); Ok(()) }

install for test

npm install @project-serum/anchor @solana/web3.js @solana/spl-token chai

reference

https://www.rapidinnovation.io/post/solana-trading-bot-development-in-2024-a-comprehensive-guide https://station.jup.ag/docs/projects-and-dexes/integration-guidelines https://docs.raydium.io/raydium/protocol/developers/addresses

https://orca-so.gitbook.io/orca-developer-portal/whirlpools/interacting-with-the-protocol/orca-whirlpools-parameters

https://github.com/raydium-io/raydium-amm/blob/master/program/Cargo.toml

https://github.com/raydium-io/raydium-cpi-example

https://github.com/raydium-io/raydium-docs/tree/master/dev-resources

https://github.com/microgift/meteora-cpi

https://github.com/orca-so/whirlpool-cpi-sample/blob/main/anchor-0.29.0/programs/whirlpool-cpi-sample/

https://github.com/MeteoraAg/cpi-examples

# DlmmSwap Struct Documentation

Overview

The DlmmSwap struct represents the accounts and parameters r