Here\'s how you can use Rust to interact with the Solana blockchain to buy, sell, fetch the price of an SPL token, and check your wallet balance. This example uses the Solana SDK version 1.18.22.\n\nFirst, make sure you have the necessary dependencies in your `Cargo.toml` file:\n\n```toml\n[dependencies]\nsolana-sdk = "1.18.23"\nsolana-client = "1.18.23"\nspl-token = "3.5.0"\nspl-associated-token-account = "1.1.3"\n```\n\nNow, here\'s a Rust script that demonstrates these operations:\n\n```rust\nuse solana_client::rpc_client::RpcClient;\nuse solana_sdk::{\n    commitment_config::CommitmentConfig,\n    pubkey::Pubkey,\n    signature::{Keypair, Signer},\n    transaction::Transaction,\n};\nuse spl_associated_token_account::get_associated_token_address;\nuse spl_token::{\n    instruction::{initialize_mint, mint_to},\n    state::{Account, Mint},\n};\n\nfn main() {\n    // Connect to Solana devnet\n    let rpc_url = "https://api.devnet.solana.com".to_string();\n    let client = RpcClient::new_with_commitment(rpc_url, CommitmentConfig::confirmed());\n\n    // Create a new keypair for the wallet\n    let wallet = Keypair::new();\n    let wallet_pubkey = wallet.pubkey();\n\n    // SPL Token mint address (replace with your token\'s mint address)\n    let token_mint = Pubkey::new_unique();\n\n    // Fetch wallet SOL balance\n    match client.get_balance(&wallet_pubkey) {\n        Ok(balance) => println!("Wallet SOL balance: {} lamports", balance),\n        Err(err) => eprintln!("Failed to fetch wallet balance: {}", err),\n    }\n\n    // Fetch SPL Token balance\n    let token_account = get_associated_token_address(&wallet_pubkey, &token_mint);\n    match client.get_token_account_balance(&token_account) {\n        Ok(balance) => println!("SPL Token balance: {}", balance.ui_amount.unwrap()),\n        Err(err) => eprintln!("Failed to fetch token balance: {}", err),\n    }\n\n    // Fetch token price (this is a placeholder, as price feeds depend on the specific token and oracle)\n    println!("Token price: Placeholder - implement price feed logic");\n\n    // Buy SPL Token (simplified example)\n    let amount = 100; // Amount of tokens to buy\n    let ix = spl_token::instruction::mint_to(\n        &spl_token::id(),\n        &token_mint,\n        &token_account,\n        &wallet_pubkey,\n        &[&wallet_pubkey],\n        amount,\n    )\n    .unwrap();\n    \n    let recent_blockhash = client.get_latest_blockhash().unwrap();\n    let tx = Transaction::new_signed_with_payer(\n        &[ix],\n        Some(&wallet_pubkey),\n        &[&wallet],\n        recent_blockhash,\n    );\n\n    match client.send_and_confirm_transaction(&tx) {\n        Ok(signature) => println!("Bought tokens. Transaction signature: {}", signature),\n        Err(err) => eprintln!("Failed to buy tokens: {}", err),\n    }\n\n    // Sell SPL Token (simplified example - same as buying, but with burn instruction)\n    let amount = 50; // Amount of tokens to sell\n    let ix = spl_token::instruction::burn(\n        &spl_token::id(),\n        &token_account,\n        &token_mint,\n        &wallet_pubkey,\n        &[&wallet_pubkey],\n        amount,\n    )\n    .unwrap();\n\n    let recent_blockhash = client.get_latest_blockhash().unwrap();\n    let tx = Transaction::new_signed_with_p', type='text')]

[TextBlock(text='Here\'s a Rust code outline that implements the functionality you\'ve described. Note that this is a complex task involving multiple components, so you\'ll need to fill in some details and integrate with specific APIs:\n\n```rust\nuse tokio_tungstenite::{connect_async, tungstenite::protocol::Message};\nuse futures_util::{StreamExt, SinkExt};\nuse serde_json::Value;\nuse solana_sdk::{\n    pubkey::Pubkey,\n    transaction::Transaction,\n    instruction::Instruction,\n};\nuse solana_client::rpc_client::RpcClient;\n\nconst HELIUS_WSS_URL: &str = "wss://your-helius-endpoint.com";\nconst WSOL_ACCOUNT: &str = "your_wsol_account_address";\nconst RPC_URL: &str = "https://api.mainnet-beta.solana.com";\n\nstruct TokenInfo {\n    address: String,\n    circulation: u64,\n    liquidity: f64,\n    mint_authority_revoked: bool,\n    max_holder_percentage: f64,\n}\n\nasync fn connect_to_websocket() -> Result<(), Box<dyn std::error::Error>> {\n    let (ws_stream, _) = connect_async(HELIUS_WSS_URL).await?;\n    let (mut write, mut read) = ws_stream.split();\n\n    // Subscribe to new token listings\n    write.send(Message::Text(\n        r#"{"jsonrpc":"2.0","id":1,"method":"tokenListingSubscribe"}"#.to_string()\n    )).await?;\n\n    while let Some(msg) = read.next().await {\n        let msg = msg?;\n        if let Message::Text(text) = msg {\n            let v: Value = serde_json::from_str(&text)?;\n            if let Some(token_info) = parse_token_info(&v) {\n                if validate_token(&token_info) {\n                    if let Ok(()) = buy_token(&token_info).await {\n                        monitor_price(&token_info).await?;\n                    }\n                } else {\n                    blacklist_token(&token_info);\n                }\n            }\n        }\n    }\n\n    Ok(())\n}\n\nfn parse_token_info(data: &Value) -> Option<TokenInfo> {\n    // Parse the JSON data and extract relevant information\n    // Return None if parsing fails or required data is missing\n    None // Placeholder\n}\n\nfn validate_token(token: &TokenInfo) -> bool {\n    token.circulation >= 999_999_999 &&\n    token.liquidity == 100.0 &&\n    token.mint_authority_revoked &&\n    token.max_holder_percentage <= 10.0 &&\n    (1000.0..=9000.0).contains(&token.liquidity)\n}\n\nasync fn buy_token(token: &TokenInfo) -> Result<(), Box<dyn std::error::Error>> {\n    let client = RpcClient::new(RPC_URL.to_string());\n    \n    // Construct and send transaction to buy token\n    // Use WSOL_ACCOUNT for payment\n    // Set priority fee and slippage\n    \n    Ok(())\n}\n\nasync fn monitor_price(token: &TokenInfo) -> Result<(), Box<dyn std::error::Error>> {\n    // Monitor price and execute take profit or stop loss\n    // Implement 30% take profit and 15% stop loss logic\n    Ok(())\n}\n\nfn blacklist_token(token: &TokenInfo) {\n    // Add token to a blacklist\n}\n\n#[tokio::main]\nasync fn main() -> Result<(), Box<dyn std::error::Error>> {\n    connect_to_websocket().await\n}\n```\n\nThis code provides a structure for implementing the functionality you described. Here\'s a breakdown of what it does:\n\n1. Connects to the Helius WebSocket and subscribes to new token listings.\n2. Parses incoming messages to extract token information.\n3. Validates tokens based on your criteria (circulation, liquidity, mint authority, holder percentage).\n4.', type='text')]

[TextBlock(text='In Rust, extracting token data from a WebSocket message typically involves parsing the received message and extracting the relevant information. Here\'s a general approach you can follow:\n\n1. Use a WebSocket library like `tungstenite` or `tokio-tungstenite` to handle WebSocket connections.\n\n2. Deserialize the received message into a structured format (e.g., JSON) using a library like `serde`.\n\n3. Extract the token data from the deserialized structure.\n\nHere\'s an example using `tokio-tungstenite` and `serde`:\n\n```rust\nuse tokio_tungstenite::{connect_async, tungstenite::protocol::Message};\nuse futures_util::stream::StreamExt;\nuse serde_json::Value;\nuse url::Url;\n\n#[tokio::main]\nasync fn main() -> Result<(), Box<dyn std::error::Error>> {\n    let url = Url::parse("ws://example.com/websocket")?;\n    let (ws_stream, _) = connect_async(url).await?;\n    let (_, read) = ws_stream.split();\n\n    read.for_each(|message| async {\n        match message {\n            Ok(Message::Text(text)) => {\n          
      match serde_json::from_str::<Value>(&text) {\n                    Ok(json) => {\n                        if let Some(token) = json.get("token") {\n                            if let Some(token_str) = token.as_str() {\n            
                    println!("Extracted token: {}", token_str);\n                            }\n                      
  }\n                    },\n                    Err(e) => eprintln!("Failed to parse JSON: {}", e),\n                
}\n            },\n            Ok(_) => {},\n            Err(e) => eprintln!("Error: {}", e),\n        }\n    }).await;\n\n    Ok(())\n}\n```\n\nThis example assumes that the token is sent as a JSON object with a "token" field. Adjust the JSON parsing logic according to your specific message format.\n\nFor more complex scenarios:\n\n1. Define a custom struct that represents your message structure:\n\n```rust\nuse serde::Deserialize;\n\n#[derive(Deserialize)]\nstruct TokenMessage {\n    token: String,\n    // other fields...\n}\n```\n\n2. Deserialize directly into this struct:\n\n```rust\nmatch serde_json::from_str::<TokenMessage>(&text) {\n    Ok(token_message) => {\n        println!("Extracted token: {}", token_message.token);\n    },\n    Err(e) => eprintln!("Failed to parse JSON: {}", e),\n}\n```\n\nThis approach provides type safety and makes it easier to handle complex message structures.\n\nRemember to add the necessary dependencies to your `Cargo.toml`:\n\n```toml\n[dependencies]\ntokio = { version = "1.0", features = ["full"] }\ntokio-tungstenite = "0.17"\nfutures-util = "0.3"\nserde = { version = "1.0", features = ["derive"] }\nserde_json = "1.0"\nurl = "2.2"\n```\n\nThis method provides a robust way to extract token data from WebSocket messages in Rust, with proper error handling and asynchronous processing.', type='text')]

[TextBlock(text='Here\'s a Rust example that demonstrates how to buy a token using WSOL (Wrapped SOL), set priority fees, include slippage, monitor the price, and execute take profit and stop loss orders using Solana smart contracts:\n\n```rust\nuse solana_program::{\n    account_info::AccountInfo,\n    entrypoint,\n    entrypoint::ProgramResult,\n    pubkey::Pubkey,\n    msg,\n};\nuse spl_token::instruction as token_instruction;\nuse solana_program::program::invoke;\nuse solana_program::system_instruction;\n\n// Define your program ID\nentrypoint!(process_instruction);\n\npub fn process_instruction(\n    program_id: &Pubkey,\n    accounts: &[AccountInfo],\n    instruction_data: &[u8],\n) -> ProgramResult {\n    // Parse accounts\n    let accounts_iter = &mut accounts.iter();\n    let user_account = next_account_info(accounts_iter)?;\n    let wsol_account = next_account_info(accounts_iter)?;\n    let token_account = next_account_info(accounts_iter)?;\n    let token_program = next_account_info(accounts_iter)?;\n\n    // Parse instruction data\n    let amount = u64::from_le_bytes(instruction_data[0..8].try_into().unwrap());\n    let slippage = u64::from_le_bytes(instruction_data[8..16].try_into().unwrap());\n    let priority_fee = u64::from_le_bytes(instruction_data[16..24].try_into().unwrap());\n\n    // Buy token\n    buy_token(user_account, wsol_account, token_account, token_program, amount, slippage, priority_fee)?;\n\n    // Monitor price and execute take profit / stop loss\n    monitor_price(token_account, amount)?;\n\n    Ok(())\n}\n\nfn buy_token(\n    user_account: &AccountInfo,\n    wsol_account: &AccountInfo,\n    token_account: &AccountInfo,\n    token_program: &AccountInfo,\n    amount: u64,\n    slippage: u64,\n    priority_fee: u64,\n) -> ProgramResult {\n    // Calculate minimum amount to receive with 15% slippage\n    let min_amount_out = amount - (amount * slippage / 100);\n\n    // Create the swap instruction\n    let swap_ix = token_instruction::swap(\n        token_program.key,\n        wsol_account.key,\n        token_account.key,\n        user_account.key,\n        &[],\n        amount,\n        min_amount_out,\n    )?;\n\n    // Set priority fee\n    let set_compute_unit_price_ix = system_instruction::set_compute_unit_price(priority_fee);\n\n    // Invoke the instructions\n    invoke(&set_compute_unit_price_ix, &[user_account.clone()])?;\n    invoke(&swap_ix, &[wsol_account.clone(), token_account.clone(), user_account.clone(), token_program.clone()])?;\n\n    msg!("Token bought successfully");\n    Ok(())\n}\n\nfn monitor_price(token_account: &AccountInfo, initial_amount: u64) -> ProgramResult {\n    let mut current_price = get_token_price(token_account)?;\n    let take_profit_price = current_price * 130 / 100; // 30% take profit\n    let stop_loss_price = current_price * 85 / 100; // 15% stop loss\n\n    loop {\n        current_price = get_token_price(token_account)?;\n\n        if current_price >= take_profit_price {\n            execute_take_profit(token_account, initial_amount)?;\n            break;\n        } else if current_price <= stop_loss_price {\n            execute_stop_loss(token_account, initial_amount)?;\n            break;\n        }\n\n        // Wait for some time before checking again\n        std::thread::sleep(std::time::Duration::from_secs(60));\n    }\n\n    Ok(())\n}\n\nfn get', type='text')]

TextBlock(text='To implement these features in a Solana smart contract using Rust and Helius Pro subscription RPC and WebSocket services, you\'ll need to combine on-chain and off-chain components. Here\'s a high-level overview of how you can implement each feature:\n\n1. Blacklist Token Function:\n\n```rust\nuse solana_program::{\n    account_info::AccountInfo,\n    entrypoint,\n    entrypoint::ProgramResult,\n    pubkey::Pubkey,\n    msg,\n};\nuse std::collections::HashSet;\n\n// Define a structure to hold blacklisted tokens\n#[derive(Default)]\npub struct BlacklistedTokens {\n    tokens: HashSet<Pubkey>,\n}\n\nimpl BlacklistedTokens {\n    pub fn add_to_blacklist(&mut self, token: Pubkey) {\n        self.tokens.insert(token);\n    }\n\n    pub fn is_blacklisted(&self, token: &Pubkey) -> bool {\n        self.tokens.contains(token)\n    }\n}\n\n// Implement the blacklist_token function\npub fn blacklist_token(program_id: &Pubkey, accounts: &[AccountInfo], token: Pubkey) -> ProgramResult {\n    let blacklisted_tokens_account = &accounts[0];\n    let mut blacklisted_tokens = BlacklistedTokens::default();\n\n    // Deserialize the account data\n    blacklisted_tokens = BlacklistedTokens::deserialize(&blacklisted_tokens_account.data.borrow())?;\n\n    // Add the token to the blacklist\n    blacklisted_tokens.add_to_blacklist(token);\n\n    // Serialize and save the updated blacklist\n    blacklisted_tokens.serialize(&mut *blacklisted_tokens_account.data.borrow_mut())?;\n\n    msg!("Token added to blacklist");\n    Ok(())\n}\n```\n\n2. Timing Mechanism for validate_token:\n\nFor this feature, you\'ll need to combine on-chain and off-chain logic. The on-chain part will store the timestamp of when parameters are met, and the off-chain part will enforce the 25-second window.\n\nOn-chain:\n\n```rust\nuse solana_program::clock::Clock;\n\npub fn validate_token(program_id: &Pubkey, accounts: &[AccountInfo]) -> ProgramResult {\n    let token_account = &accounts[0];\n    let clock = Clock::get()?;\n\n    // Perform your token validation logic here\n    // ...\n\n    // If all parameters are met, store the current timestamp\n    if all_parameters_met {\n        let mut timestamp = clock.unix_timestamp;\n        timestamp.serialize(&mut *token_account.data.borrow_mut())?;\n    }\n\n    Ok(())\n}\n```\n\nOff-chain (in your client code):\n\n```rust\nuse solana_client::rpc_client::RpcClient;\n\npub fn attempt_buy(rpc_client: &RpcClient, token_account: Pubkey) -> Result<(), Box<dyn std::error::Error>> {\n    let account_data = rpc_client.get_account_data(&token_account)?;\n    let stored_timestamp: i64 = bincode::deserialize(&account_data)?;\n    let current_timestamp = std::time::SystemTime::now()\n        .duration_since(std::time::UNIX_EPOCH)?\n        .as_secs() as i64;\n\n    if current_timestamp - stored_timestamp <= 25 {\n        // Proceed with buy attempt\n        // ...\n    } else {\n        println!("Buy window has expired");\n    }\n\n    Ok(())\n}\n```\n\n3. Error Handling and Retries:\n\nImplement a retry mechanism in your off-chain client code:\n\n```rust\nuse solana_client::rpc_client::RpcClient;\nuse solana_sdk::signature::Signature;\nuse solana_sdk::transaction::Transaction;\n\npub fn send_transaction_with_retry(\n    rpc_client: &RpcClient,\n    transaction: Transaction,\n    max_retries: u32,\n) -> Result<Signature, Box<dyn std::error::Error>>', type='text')]

[TextBlock(text='It sounds like you have a solid plan for implementing logging and testing in your Solana project using Rust. Let\'s break down the key components and provide some code examples to help you get started:\n\n1. Logging Implementation:\n\nFirst, add the necessary dependencies to your Cargo.toml:\n\n```toml\n[dependencies]\nlog = "0.4"\nenv_logger = "0.9"\n```\n\nCreate a custom log macro for consistent formatting:\n\n```rust\n#[macro_export]\nmacro_rules! bot_log {\n    ($level:expr, $($arg:tt)+) => ({\n        log::log!($level, "[BOT] {}", format_args!($($arg)+));\n    })\n}\n```\n\nInitialize the logger in your main function:\n\n```rust\nuse log::LevelFilter;\nuse env_logger::Builder;\n\nfn main() {\n    Builder::new().filter_level(LevelFilter::Info).init();\n\n    bot_log!(log::Level::Info, "Bot started");\n    // Rest of your code\n}\n```\n\nUse the custom macro throughout your code:\n\n```rust\nbot_log!(log::Level::Info, "Attempting to buy {} tokens", amount);\nbot_log!(log::Level::Error, "Failed to sell tokens: {}", error);\n```\n\n2. Testing Implementation:\n\nFor unit tests, use Rust\'s built-in test attribute:\n\n```rust\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_token_validation() {\n        // Test implementation\n    }\n\n    #[test]\n    fn test_buying_logic() {\n        // Test implementation\n    }\n}\n```\n\nFor integration tests, use the solana-program-test framework:\n\n```rust\nuse solana_program_test::*;\nuse solana_sdk::{signature::Signer, transaction::Transaction};\n\n#[tokio::test]\nasync fn test_bot_integration() {\n    let program_id = Pubkey::new_unique();\n    let (mut banks_client, payer, recent_blockhash) = ProgramTest::new(\n        "your_program_name",\n        program_id,\n        processor!(process_instruction),\n    )\n    .start()\n    .await;\n\n    // Set up test environment and accounts\n\n    // Create and send a transaction\n    let mut transaction = Transaction::new_with_payer(\n        &[your_instruction_here],\n        Some(&payer.pubkey()),\n    );\n    transaction.sign(&[&payer], recent_blockhash);\n\n    // Process the transaction and check the results\n    banks_client.process_transaction(transaction).await.unwrap();\n\n    // Assert expected outcomes\n}\n```\n\n3. Mocking Solana\'s Runtime:\n\nUse the solana-program-test framework to mock Solana\'s runtime:\n\n```rust\nuse solana_program_test::*;\n\nasync fn setup_mock_solana() -> (BanksClient, Keypair, Hash) {\n    let (banks_client, payer, recent_blockhash) = ProgramTest::new(\n        "your_program_name",\n        program_id,\n        processor!(process_instruction),\n    )\n    .start()\n    .await;\n\n    // Additional setup for your specific needs\n\n    (banks_client, payer, recent_blockhash)\n}\n```\n\n4. Test Coverage:\n\nEnsure your tests cover key functionalities:\n\n- Token validation\n- Buying and selling logic\n- WebSocket handling\n- Error conditions and edge cases\n\n5. Best Practices and Optimization:\n\n- Follow Solana\'s official documentation for best practices\n- Use Rust\'s zero-cost abstractions for performance\n- Implement proper error handling and propagation\n- Utilize Solana\'s security features like program derived addresses (PDAs)\n\nRemember to continuously update and run your tests as you develop your bot. This approach will help you maintain a high-quality, reliable bot that interacts effectively with the Solana blockchain.', type='text')] 

[TextBlock(text='Certainly! I\'ll provide you with a high-level implementation of a monitoring system and the other enhancements you\'ve requested for your Solana bot in Rust. This code will give you a starting point that you can expand upon based on your specific needs.\n\n```rust\nuse std::sync::{Arc, Mutex};\nuse std::time::{Duration, Instant};\nuse tokio::time::interval;\nuse serde::{Deserialize, Serialize};\nuse config::Config;\nuse solana_client::rpc_client::RpcClient;\n\n// Configuration structure\n#[derive(Debug, Deserialize, Serialize)]\nstruct BotConfig {\n    rpc_url: String,\n    max_requests_per_second: u32,\n    backup_interval: u64,\n    // Add other configuration parameters here\n}\n\n// Bot state structure\n#[derive(Debug, Clone)]\nstruct BotState {\n    last_sync: Instant,\n    requests_made: u32,\n    errors: u32,\n    // Add other state variables here\n}\n\n// Monitoring system\nstruct MonitoringSystem {\n    state: Arc<Mutex<BotState>>,\n    config: Arc<BotConfig>,\n}\n\nimpl MonitoringSystem {\n    fn new(config: BotConfig) -> Self {\n        MonitoringSystem {\n            state: Arc::new(Mutex::new(BotState {\n              
  last_sync: Instant::now(),\n                requests_made: 0,\n                errors: 0,\n            })),\n            config: Arc::new(config),\n        }\n    }\n\n    async fn start_monitoring(&self) {\n        let mut interval = interval(Duration::from_secs(1));\n        loop {\n            interval.tick().await;\n            self.update_metrics();\n            self.log_metrics();\n        }\n    }\n\n    fn update_metrics(&self) {\n        let mut state = self.state.lock().unwrap();\n        // Update metrics here\n    }\n\n    fn log_metrics(&self) {\n        let state = self.state.lock().unwrap();\n        println!("Bot State: {:?}", *state);\n    }\n}\n\n// Rate limiter\nstruct RateLimiter {\n    last_request: Instant,\n    requests_made: u32,\n    max_requests: u32,\n}\n\nimpl RateLimiter {\n    fn new(max_requests: u32) -> Self {\n        RateLimiter {\n            last_request: Instant::now(),\n            requests_made: 0,\n            max_requests,\n        }\n    }\n\n    async fn wait(&mut self) {\n        let now = Instant::now();\n        if now.duration_since(self.last_request) >= Duration::from_secs(1) {\n            self.requests_made = 0;\n            self.last_request = now;\n        }\n\n        if self.requests_made >= self.max_requests {\n          
  tokio::time::sleep(Duration::from_secs(1) - now.duration_since(self.last_request)).await;\n            self.requests_made = 0;\n            self.last_request = Instant::now();\n        }\n\n        self.requests_made += 1;\n    }\n}\n\n// Backup system\nstruct BackupSystem {\n    last_backup: Instant,\n    backup_interval: Duration,\n}\n\nimpl BackupSystem {\n    fn new(backup_interval: Duration) -> Self {\n        BackupSystem {\n            last_backup: Instant::now(),\n            backup_interval,\n        }\n    }\n\n    async fn perform_backup(&mut self, state: &BotState) {\n        if Instant::now().duration_since(self.last_backup) >= self.backup_interval {\n            // Perform backup here\n            println!("Performing backup...");\n            // You would typically serialize the state and save it to a file or database\n            self.last_backup = Instant::now();\n        }\n    }\n}\n\n// Main bot structure\nstruct SolanaBot {\n    client: RpcClient,\n    monitoring: Arc<MonitoringSystem>,\n    rate_limiter: RateL', type='text')] 

[TextBlock(text='Here\'s a robust menu system in Rust for managing a Solana sniper bot with the features you\'ve requested:\n\n```rust\nuse std::io::{self, Write};\nuse std::thread;\nuse std::time::Duration;\nuse crossterm::{\n    execute,\n    terminal::{Clear, ClearType},\n    cursor::MoveTo,\n};\n\n// Simulated bot and market data structures\nstruct Bot {\n    active_trades: Vec<Trade>,\n    settings: BotSettings,\n}\n\nstruct Trade {\n    token: String,\n    amount: f64,\n    entry_price: f64,\n}\n\nstruct BotSettings {\n    buy_threshold: f64,\n    sell_threshold: f64,\n    max_trade_amount: f64,\n}\n\nstruct MarketData {\n    token_prices: Vec<(String, f64)>,\n}\n\nfn main() {\n    let mut bot = Bot {\n        active_trades: Vec::new(),\n        settings: BotSettings {\n            buy_threshold: 0.05,\n            sell_threshold: 0.1,\n            max_trade_amount: 1000.0,\n        },\n    };\n\n    let market_data = MarketData {\n        token_prices: vec![\n            ("SOL".to_string(), 100.0),\n            ("RAY".to_string(), 5.0),\n            ("SRM".to_string(), 2.0),\n        ],\n    };\n\n    loop {\n        clear_screen();\n        print_menu();\n        \n        match get_user_input().as_str() {\n            "1" => view_active_trades(&bot),\n            "2" => monitor_token_prices(&market_data),\n            "3" => adjust_parameters(&mut bot),\n            "4" => view_performance_metrics(&bot),\n            "5" => execute_manual_trade(&mut bot, &market_data),\n            "6" => toggle_automated_trading(&mut bot),\n            "7" => view_help(),\n            "q" => break,\n            _ => println!("Invalid option. Please try again."),\n        }\n\n        println!("\\nPress Enter to continue...");\n        io::stdin().read_line(&mut String::new()).unwrap();\n    }\n}\n\nfn clear_screen() {\n    execute!(io::stdout(), Clear(ClearType::All), MoveTo(0, 0)).unwrap();\n}\n\nfn print_menu() {\n    println!("Solana Sniper Bot Menu");\n    println!("----------------------");\n    println!("1. View Active Trades");\n    println!("2. Monitor Token Prices");\n    println!("3. Adjust Parameters");\n    println!("4. View Performance Metrics");\n    println!("5. Execute Manual Trade");\n    println!("6. Toggle Automated Trading");\n    println!("7. Help");\n    println!("q. Quit");\n    println!("\\nEnter your choice: ");\n}\n\nfn get_user_input() -> String {\n    let mut input = String::new();\n    io::stdin().read_line(&mut input).unwrap();\n    input.trim().to_string()\n}\n\nfn view_active_trades(bot: &Bot) {\n    println!("Active Trades:");\n    for trade in &bot.active_trades {\n        println!("Token: {}, Amount: {}, Entry Price: {}", trade.token, trade.amount, trade.entry_price);\n    }\n}\n\nfn monitor_token_prices(market_data: &MarketData) {\n    println!("Current Token Prices:");\n    for (token, price) in &market_data.token_prices {\n        println!("{}: ${}", token, price);\n    }\n}\n\nfn adjust_parameters(bot: &mut Bot) {\n    println!("Current Parameters:");\n    println!("Buy Threshold: {}", bot.settings.buy_threshold);\n    println!("Sell Threshold: {}", bot.settings.sell_threshold);\n    println!("Max Trade Amount: {}", bot.settings.max_trade_amount);\n\n    println!("\\nEnter new Buy Threshold (or press Enter to keep current):");\n    if let', type='text')]


[TextBlock(text='Here\'s an expanded implementation of the Solana sniper bot menu system in Rust, incorporating the requested features and enhancements:\n\n```rust\nuse std::io::{self, Write};\nuse std::thread;\nuse std::time::Duration;\nuse std::sync::{Arc, Mutex};\nuse rusqlite::{Connection, Result};\nuse chrono::Utc;\n\n// Struct to hold bot settings\nstruct BotSettings {\n    target_token: String,\n    buy_threshold: f64,\n    sell_threshold: f64,\n    max_trade_amount: f64,\n}\n\n// Struct to hold performance metrics\nstruct PerformanceMetrics {\n    total_trades: i32,\n    profitable_trades: i32,\n    total_profit: f64,\n}\n\n// Struct to represent a trade\nstruct Trade {\n    timestamp: i64,\n    token: String,\n    action: String,\n    amount: f64,\n    price: f64,\n}\n\nfn main() -> Result<()> {\n    let conn = Connection::open("solana_bot.db")?;\n\n    // Create tables if they don\'t exist\n    conn.execute(\n        "CREATE TABLE IF NOT EXISTS settings (\n            id INTEGER PRIMARY KEY,\n            target_token TEXT,\n            buy_threshold REAL,\n            sell_threshold REAL,\n            max_trade_amount REAL\n        )",\n        [],\n    )?;\n\n    conn.execute(\n        "CREATE TABLE IF NOT EXISTS trades (\n            id INTEGER PRIMARY KEY,\n            timestamp INTEGER,\n            token TEXT,\n            action TEXT,\n            amount REAL,\n            price REAL\n        )",\n        [],\n    )?;\n\n    let settings = Arc::new(Mutex::new(load_settings(&conn)?));\n    let metrics = Arc::new(Mutex::new(PerformanceMetrics {\n        total_trades: 0,\n        profitable_trades: 0,\n        total_profit: 0.0,\n    }));\n\n    // Start real-time data update thread\n    let settings_clone = Arc::clone(&settings);\n    let metrics_clone = Arc::clone(&metrics);\n    thread::spawn(move || {\n        real_time_updates(settings_clone, metrics_clone);\n    });\n\n    loop {\n        print_menu();\n        let choice = get_user_input("Enter your choice: ");\n\n        match choice.as_str() {\n            "1" => configure_bot(&conn, &settings),\n            "2" => start_bot(),\n            "3" => stop_bot(),\n            "4" => view_performance_metrics(&metrics),\n            "5" => execute_manual_trade(&conn, &settings, &metrics),\n            "6" => view_trade_history(&conn),\n            "7" => display_help(),\n            "8" => break,\n            _ => println!("Invalid choice. Please try again."),\n        }\n    }\n\n    Ok(())\n}\n\nfn print_menu() {\n    println!("\\nSolana Sniper Bot Menu");\n    println!("1. Configure Bot");\n    println!("2. Start Bot");\n    println!("3. Stop Bot");\n    println!("4. View Performance Metrics");\n    println!("5. Execute Manual Trade");\n    println!("6. View Trade History");\n    println!("7. Help");\n    println!("8. Exit");\n}\n\nfn get_user_input(prompt: &str) -> String {\n    print!("{}", prompt);\n    io::stdout().flush().unwrap();\n    let mut input = String::new();\n    io::stdin().read_line(&mut input).expect("Failed to read input");\n    input.trim().to_string()\n}\n\nfn load_settings(conn: &Connection) -> Result<BotSettings> {\n    let mut stmt = conn.prepare("SELECT * FROM settings ORDER BY id DESC LIMIT 1")?;\n    let settings = stmt.query_row([], |row| {\n        Ok(BotSettings {\n            target_token: row.get(1)?,\n            buy_threshold: row.get(2)?,\n            sell_threshold: row.get(3)?,\n            max_trade_', type='text')]

[TextBlock(text='Here\'s an expanded implementation of the Solana sniper bot in Rust, incorporating the requested enhancements:\n\n```rust\nuse rusqlite::{Connection, Result as SqlResult};\nuse solana_client::rpc_client::RpcClient;\nuse solana_sdk::{signature::Keypair, transaction::Transaction};\nuse std::sync::{Arc, Mutex};\nuse std::thread;\nuse std::time::Duration;\nuse tokio;\n\n// Struct definitions\nstruct BotSettings {\n    target_token: String,\n    buy_price: f64,\n    sell_price: f64,\n    amount: u64,\n}\n\nstruct TradeHistory {\n    timestamp: i64,\n    action: String,\n    token: String,\n    amount: u64,\n    price: f64,\n}\n\nstruct PerformanceMetrics {\n    total_trades: u32,\n    successful_trades: u32,\n    profit_loss: f64,\n}\n\n// Database functions\nfn init_database() -> SqlResult<Connection> {\n    let conn = Connection::open("solana_bot.db")?;\n    \n    conn.execute(\n        "CREATE TABLE IF NOT EXISTS bot_settings (\n            id INTEGER PRIMARY KEY,\n            target_token TEXT,\n            buy_price REAL,\n            sell_price REAL,\n            amount INTEGER\n        )",\n        [],\n    )?;\n\n    conn.execute(\n        "CREATE TABLE IF NOT EXISTS trade_history (\n            id INTEGER PRIMARY KEY,\n            timestamp INTEGER,\n            action TEXT,\n            token TEXT,\n            amount INTEGER,\n            price REAL\n        )",\n        [],\n    )?;\n\n    Ok(conn)\n}\n\nfn save_bot_settings(conn: &Connection, settings: &BotSettings) -> SqlResult<()> {\n    conn.execute(\n        "INSERT OR REPLACE INTO bot_settings (id, target_token, buy_price, sell_price, amount)\n        VALUES (1, ?1, ?2, ?3, ?4)",\n        &[&settings.target_token, &settings.buy_price, &settings.sell_price, &settings.amount],\n    )?;\n    Ok(())\n}\n\nfn load_bot_settings(conn: &Connection) -> SqlResult<BotSettings> {\n    let mut stmt = conn.prepare("SELECT * FROM bot_settings WHERE id = 1")?;\n    let settings = stmt.query_row([], |row| {\n        Ok(BotSettings {\n            target_token: row.get(1)?,\n            buy_price: row.get(2)?,\n            sell_price: row.get(3)?,\n            amount: row.get(4)?,\n        })\n    })?;\n    Ok(settings)\n}\n\nfn save_trade_history(conn: &Connection, trade: &TradeHistory) -> SqlResult<()> {\n    conn.execute(\n        "INSERT INTO trade_history (timestamp, action, token, amount, price)\n        VALUES (?1, ?2, ?3, ?4, ?5)",\n        &[&trade.timestamp, &trade.action, &trade.token, &trade.amount, &trade.price],\n    )?;\n    Ok(())\n}\n\n// Bot functions\nfn execute_trade(client: &RpcClient, keypair: &Keypair, settings: &BotSettings) -> Result<(), Box<dyn std::error::Error>> {\n    // Implement the trade execution logic here\n    // This is a placeholder and should be replaced with actual Solana trade execution code\n    println!("Executing trade for {} {} at price {}", settings.amount, settings.target_token, settings.buy_price);\n    \n    // Simulate a successful trade\n    let trade = TradeHistory {\n        timestamp: chrono::Utc::now().timestamp(),\n        action: "BUY".to_string(),\n        token: settings.target_token.clone(),\n        amount: settings.amount,\n        price: settings.buy_price,\n    };\n    \n    let conn = init_database()?;\n    save_trade_history(&conn, &trade)?;\n    \n    Ok(())\n}\n\nfn view_performance_', type='text')]


[TextBlock(text='I ill providing a complete, production-ready Solana smart contract with all the features you\'ve described .\n\nHowever,  This will give you an idea of how to approach the project I will provide this then go on to making the complete project:\n\n```rust\nuse solana_program::{\n    account_info::AccountInfo,\n    entrypoint,\n    entrypoint::ProgramResult,\n    pubkey::Pubkey,\n    msg,\n};\nuse thiserror::Error;\n\n// Define custom errors\n#[derive(Error, Debug)]\npub enum TradingError {\n    #[error("Insufficient funds")]\n    InsufficientFunds,\n    #[error("Invalid token")]\n    InvalidToken,\n    // Add more custom errors as needed\n}\n\n// Define the program\'s state structure\n#[derive(BorshSerialize, BorshDeserialize)]\npub struct TradingState {\n    // Add fields to represent the state of your trading system\n}\n\n// Entry point of the program\nentrypoint!(process_instruction);\n\npub fn process_instruction(\n    program_id: &Pubkey,\n    accounts: &[AccountInfo],\n    instruction_data: &[u8],\n) -> ProgramResult {\n    // Implement the main logic of your program here\n    // This function will handle different instructions based on the instruction_data\n\n    match instruction_data[0] {\n        0 => execute_trade(accounts, &instruction_data[1..]),\n        1 => update_strategy(accounts, &instruction_data[1..]),\n        // Add more instruction handlers as needed\n        _ => Err(ProgramError::InvalidInstructionData.into()),\n    }\n}\n\nfn execute_trade(accounts: &[AccountInfo], data: &[u8]) -> ProgramResult {\n    // Implement trade execution logic\n    msg!("Executing trade");\n    // Add your implementation here\n    Ok(())\n}\n\nfn update_strategy(accounts: &[AccountInfo], data: &[u8]) -> ProgramResult {\n    // Implement strategy update logic\n    msg!("Updating strategy");\n    // Add your implementation here\n    Ok(())\n}\n\n// Implement additional helper functions for various features\n\nfn rate_limit() -> ProgramResult {\n    // Implement rate limiting logic\n    Ok(())\n}\n\nfn optimize_gas_fees() -> ProgramResult {\n    // Implement gas fee optimization logic\n    Ok(())\n}\n\n// Add more helper functions for other features\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_execute_trade() {\n        // Implement unit tests\n    }\n\n    #[test]\n    fn test_update_strategy() {\n        // Implement unit tests\n    }\n\n    // Add more unit tests\n}\n```\n\nThis is a basic structure for a Solana smart contract. You\'ll need to expand on this significantly to implement all the features you\'ve mentioned. Here are some additional considerations:\n\n1. Use appropriate Solana crates and dependencies in your `Cargo.toml` file.\n2. Implement proper serialization and deserialization using Borsh or another compatible serialization format.\n3. Develop a separate CLI or GUI application for user interaction.\n4. Implement robust logging using Solana\'s `msg!` macro and consider additional logging mechanisms for off-chain components.\n5. Create separate modules for different features like trading strategies, backtesting, and API integrations.\n6. Implement comprehensive error handling and recovery mechanisms.\n7. Optimize for performance, considering Solana\'s specific constraints and best practices.\n8. Develop extensive unit and integration tests.\n9. Create a backtesting module that can work with historical data.\n10. Implement automated performance reporting.\n11. Integrate with various crypto data APIs, ensuring proper rate limiting and error handling.\n\nRemember that building a production-ready trading system is a complex task that requires careful planning, extensive testing, and ongoing maintenance. It\'s recommended to break down the project into smaller, manageable components and develop them iteratively now I will provide you the compete fully functional solana project with everything you requested.', type='text')]