upate docs

Author: madjin

docs/docs/advanced/autonomous-trading.md

@@ -0,0 +1,285 @@
+---
+sidebar_position: 1
+title: Autonomous Trading
+---
+
+# Autonomous Trading System
+
+## Overview
+
+Eliza's autonomous trading system provides a sophisticated framework for monitoring market conditions, analyzing tokens, and executing trades on Solana-based decentralized exchanges. The system combines real-time market data, technical analysis, and risk management to make informed trading decisions.
+
+## Core Components
+
+### 1. Token Analysis Engine
+
+The system tracks multiple market indicators:
+
+```typescript
+interface TokenPerformance {
+  priceChange24h: number;
+  volumeChange24h: number;
+  trade_24h_change: number;
+  liquidity: number;
+  liquidityChange24h: number;
+  holderChange24h: number;
+  rugPull: boolean;
+  isScam: boolean;
+  marketCapChange24h: number;
+  sustainedGrowth: boolean;
+  rapidDump: boolean;
+  suspiciousVolume: boolean;
+}
+```
+
+### 2. Order Book Management
+
+```typescript
+interface Order {
+  userId: string;
+  ticker: string;
+  contractAddress: string;
+  timestamp: string;
+  buyAmount: number;
+  price: number;
+}
+```
+
+### 3. Market Data Integration
+
+The system integrates with multiple data sources:
+
+- BirdEye API for real-time market data
+- DexScreener for liquidity analysis
+- Helius for on-chain data
+
+## Trading Features
+
+### 1. Real-Time Market Analysis
+
+```typescript
+const PROVIDER_CONFIG = {
+  BIRDEYE_API: "https://public-api.birdeye.so",
+  MAX_RETRIES: 3,
+  RETRY_DELAY: 2000,
+  TOKEN_SECURITY_ENDPOINT: "/defi/token_security?address=",
+  TOKEN_TRADE_DATA_ENDPOINT: "/defi/v3/token/trade-data/single?address=",
+};
+```
+
+Key metrics monitored:
+
+- Price movements
+- Volume changes
+- Liquidity levels
+- Holder distribution
+- Trading patterns
+
+### 2. Risk Assessment System
+
+The system evaluates multiple risk factors:
+
+```typescript
+async analyzeRisks(token: string) {
+    const risks = {
+        liquidityRisk: await checkLiquidity(),
+        holderConcentration: await analyzeHolderDistribution(),
+        priceVolatility: await calculateVolatility(),
+        marketManipulation: await detectManipulation()
+    };
+    return risks;
+}
+```
+
+### 3. Trading Strategies
+
+#### Market Analysis
+
+```typescript
+async getProcessedTokenData(): Promise<ProcessedTokenData> {
+    const security = await this.fetchTokenSecurity();
+    const tradeData = await this.fetchTokenTradeData();
+    const dexData = await this.fetchDexScreenerData();
+    const holderDistributionTrend = await this.analyzeHolderDistribution(tradeData);
+    // ... additional analysis
+}
+```
+
+#### Trade Execution
+
+```typescript
+interface TradePerformance {
+  token_address: string;
+  buy_price: number;
+  sell_price: number;
+  buy_timeStamp: string;
+  sell_timeStamp: string;
+  profit_percent: number;
+  market_cap_change: number;
+  liquidity_change: number;
+}
+```
+
+## Configuration Options
+
+### 1. Trading Parameters
+
+```typescript
+const tradingConfig = {
+  minLiquidity: 50000, // Minimum liquidity in USD
+  maxSlippage: 0.02, // Maximum allowed slippage
+  positionSize: 0.01, // Position size as percentage of portfolio
+  stopLoss: 0.05, // Stop loss percentage
+  takeProfit: 0.15, // Take profit percentage
+};
+```
+
+### 2. Risk Management Settings
+
+```typescript
+const riskSettings = {
+  maxDrawdown: 0.2, // Maximum portfolio drawdown
+  maxPositionSize: 0.1, // Maximum single position size
+  minLiquidityRatio: 50, // Minimum liquidity to market cap ratio
+  maxHolderConcentration: 0.2, // Maximum single holder concentration
+};
+```
+
+## Implementation Guide
+
+### 1. Setting Up Market Monitoring
+
+```typescript
+async monitorMarket(token: string) {
+    const provider = new TokenProvider(token);
+    const marketData = await provider.getProcessedTokenData();
+
+    return {
+        price: marketData.tradeData.price,
+        volume: marketData.tradeData.volume_24h,
+        liquidity: marketData.tradeData.liquidity,
+        holderMetrics: marketData.security
+    };
+}
+```
+
+### 2. Implementing Trading Logic
+
+```typescript
+async evaluateTradeOpportunity(token: string) {
+    const analysis = await this.getProcessedTokenData();
+
+    const signals = {
+        priceSignal: analysis.tradeData.price_change_24h > 0,
+        volumeSignal: analysis.tradeData.volume_24h_change_percent > 20,
+        liquiditySignal: analysis.tradeData.liquidity > MIN_LIQUIDITY,
+        holderSignal: analysis.holderDistributionTrend === "increasing"
+    };
+
+    return signals.priceSignal && signals.volumeSignal &&
+           signals.liquiditySignal && signals.holderSignal;
+}
+```
+
+### 3. Risk Management Implementation
+
+```typescript
+async checkTradeRisks(token: string): Promise<boolean> {
+    const security = await this.fetchTokenSecurity();
+    const tradeData = await this.fetchTokenTradeData();
+
+    return {
+        isRugPull: security.ownerPercentage > 50,
+        isPumpAndDump: tradeData.price_change_24h > 100,
+        isLowLiquidity: tradeData.liquidity < MIN_LIQUIDITY,
+        isSuspiciousVolume: tradeData.suspiciousVolume
+    };
+}
+```
+
+## Performance Monitoring
+
+### 1. Trade Tracking
+
+```typescript
+async trackTradePerformance(trade: TradePerformance): Promise<void> {
+    const performance = {
+        entryPrice: trade.buy_price,
+        exitPrice: trade.sell_price,
+        profitLoss: trade.profit_percent,
+        holdingPeriod: calculateHoldingPeriod(
+            trade.buy_timeStamp,
+            trade.sell_timeStamp
+        ),
+        marketImpact: trade.market_cap_change
+    };
+
+    await this.logTradePerformance(performance);
+}
+```
+
+### 2. Portfolio Analytics
+
+```typescript
+async analyzePortfolioPerformance(userId: string) {
+    const trades = await this.getTradeHistory(userId);
+    return {
+        totalTrades: trades.length,
+        winRate: calculateWinRate(trades),
+        averageReturn: calculateAverageReturn(trades),
+        maxDrawdown: calculateMaxDrawdown(trades),
+        sharpeRatio: calculateSharpeRatio(trades)
+    };
+}
+```
+
+## Best Practices
+
+1. **Risk Management**
+
+   - Always implement stop-loss orders
+   - Diversify trading positions
+   - Monitor liquidity levels continuously
+   - Set maximum position sizes
+
+2. **Trade Execution**
+
+   - Use slippage protection
+   - Implement rate limiting
+   - Monitor gas costs
+   - Verify transaction success
+
+3. **Market Analysis**
+
+   - Cross-reference multiple data sources
+   - Implement data validation
+   - Monitor market manipulation indicators
+   - Track historical patterns
+
+4. **System Maintenance**
+   - Regular performance reviews
+   - Strategy backtesting
+   - Risk parameter adjustments
+   - System health monitoring
+
+## Security Considerations
+
+1. **Transaction Security**
+
+   - Implement transaction signing
+   - Verify contract addresses
+   - Monitor for malicious tokens
+   - Implement rate limiting
+
+2. **Data Validation**
+   - Verify data sources
+   - Implement error handling
+   - Monitor for anomalies
+   - Cross-validate market data
+
+## Additional Resources
+
+- [Trust Engine Documentation](./trust-engine.md)
+- [Infrastructure Setup](./infrastructure.md)
+
+Remember to thoroughly test all trading strategies in a sandbox environment before deploying to production.