SXT Analytics Agent
The SXT Analytics Agent is a sophisticated analytics agent that leverages Space and Time's blockchain data infrastructure to provide advanced portfolio analytics, risk analysis, and market intelligence for the Ava Portfolio Manager system.
Overview
The SXT Analytics Agent integrates with Space and Time's decentralized data warehouse to provide comprehensive blockchain analytics and portfolio management capabilities. It maintains synchronized portfolio data in SXT's database and provides sophisticated analytics functions to other agents in the portfolio management system.
Key Features
Portfolio Analytics: Comprehensive portfolio tracking and performance analysis
Risk Analysis: Advanced risk assessment based on asset and blockchain concentration
Market Intelligence: Data-driven market insights and opportunity discovery
Historical Performance: Long-term performance tracking and trend analysis
Cross-Chain Analytics: Multi-blockchain portfolio analysis and correlation
Real-Time Data Processing: Live data synchronization and analysis
Predictive Analytics: AI-powered predictive modeling for portfolio optimization
Architecture
The SXT Analytics Agent follows a data-centric architecture designed for scalability and real-time analytics:
interface SXTAnalyticsArchitecture {
// Core Components
sxtProvider: SXTDataProvider; // Space and Time integration
analyticsEngine: AnalyticsEngine; // Core analytics processing
eventBus: EventBus; // Communication hub
storage: StorageInterface; // Local caching
aiProvider: AIProvider; // AI-powered insights
// Data Pipeline
dataIngestion: DataIngestionLayer;
dataProcessing: DataProcessingLayer;
dataAnalysis: DataAnalysisLayer;
dataVisualization: DataVisualizationLayer;
// Analytics Modules
portfolioAnalyzer: PortfolioAnalyzer;
riskAnalyzer: RiskAnalyzer;
marketAnalyzer: MarketAnalyzer;
performanceAnalyzer: PerformanceAnalyzer;
// Database Schema
database: {
PORTFOLIO: {
ASSETS: AssetTable;
TRANSACTIONS: TransactionTable;
ANALYTICS: AnalyticsTable;
PERFORMANCE: PerformanceTable;
RISK_METRICS: RiskMetricsTable;
};
};
}Database Schema
Core Tables
The SXT Analytics Agent maintains a comprehensive database schema for portfolio management:
-- Portfolio Assets Table
CREATE TABLE PORTFOLIO.ASSETS (
asset_id VARCHAR(100) PRIMARY KEY,
wallet_address VARCHAR(42) NOT NULL,
token_address VARCHAR(42) NOT NULL,
token_symbol VARCHAR(20) NOT NULL,
token_name VARCHAR(100) NOT NULL,
balance DECIMAL(36, 18) NOT NULL,
value_usd DECIMAL(18, 2) NOT NULL,
chain_id INTEGER NOT NULL,
protocol VARCHAR(50),
position_type VARCHAR(20), -- 'spot', 'lp', 'lending', 'borrowing', 'staking'
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Portfolio Transactions Table
CREATE TABLE PORTFOLIO.TRANSACTIONS (
tx_id VARCHAR(66) PRIMARY KEY,
wallet_address VARCHAR(42) NOT NULL,
chain_id INTEGER NOT NULL,
block_number BIGINT NOT NULL,
transaction_hash VARCHAR(66) NOT NULL,
from_address VARCHAR(42) NOT NULL,
to_address VARCHAR(42) NOT NULL,
value DECIMAL(36, 18) NOT NULL,
gas_used BIGINT NOT NULL,
gas_price DECIMAL(36, 18) NOT NULL,
transaction_type VARCHAR(30), -- 'swap', 'transfer', 'stake', 'unstake', 'bridge'
protocol VARCHAR(50),
token_in VARCHAR(42),
token_out VARCHAR(42),
amount_in DECIMAL(36, 18),
amount_out DECIMAL(36, 18),
timestamp TIMESTAMP NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Portfolio Analytics Table
CREATE TABLE PORTFOLIO.ANALYTICS (
analytics_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
wallet_address VARCHAR(42) NOT NULL,
metric_type VARCHAR(50) NOT NULL, -- 'portfolio_value', 'risk_score', 'yield_rate', 'pnl'
metric_value DECIMAL(18, 8) NOT NULL,
metric_metadata JSON,
time_period VARCHAR(20), -- '1h', '1d', '7d', '30d', '1y'
calculated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Performance Metrics Table
CREATE TABLE PORTFOLIO.PERFORMANCE (
performance_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
wallet_address VARCHAR(42) NOT NULL,
total_value_usd DECIMAL(18, 2) NOT NULL,
total_pnl_usd DECIMAL(18, 2) NOT NULL,
total_pnl_percent DECIMAL(10, 4) NOT NULL,
best_performing_asset VARCHAR(100),
worst_performing_asset VARCHAR(100),
total_gas_spent DECIMAL(18, 8) NOT NULL,
total_transactions INTEGER NOT NULL,
active_positions INTEGER NOT NULL,
yield_earned DECIMAL(18, 8) NOT NULL,
time_period VARCHAR(20) NOT NULL,
calculated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Risk Metrics Table
CREATE TABLE PORTFOLIO.RISK_METRICS (
risk_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
wallet_address VARCHAR(42) NOT NULL,
overall_risk_score DECIMAL(5, 4) NOT NULL, -- 0.0000 to 1.0000
concentration_risk DECIMAL(5, 4) NOT NULL,
liquidity_risk DECIMAL(5, 4) NOT NULL,
protocol_risk DECIMAL(5, 4) NOT NULL,
volatility_risk DECIMAL(5, 4) NOT NULL,
correlation_risk DECIMAL(5, 4) NOT NULL,
risk_factors JSON,
recommendations JSON,
calculated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);Advanced Analytics Engine
Portfolio Analytics
Comprehensive portfolio analysis capabilities:
interface PortfolioAnalytics {
// Portfolio Overview
getPortfolioOverview: async (walletAddress: string) => {
const query = `
SELECT
COUNT(*) as total_assets,
SUM(value_usd) as total_value,
AVG(value_usd) as avg_position_size,
COUNT(DISTINCT chain_id) as chains_used,
COUNT(DISTINCT protocol) as protocols_used
FROM PORTFOLIO.ASSETS
WHERE wallet_address = '${walletAddress}'
AND last_updated > NOW() - INTERVAL '1 hour'
`;
const result = await this.sxtProvider.query(query);
return result[0];
};
// Asset Allocation Analysis
getAssetAllocation: async (walletAddress: string) => {
const query = `
SELECT
token_symbol,
SUM(value_usd) as total_value,
ROUND(SUM(value_usd) * 100.0 / SUM(SUM(value_usd)) OVER (), 2) as allocation_percent
FROM PORTFOLIO.ASSETS
WHERE wallet_address = '${walletAddress}'
GROUP BY token_symbol
ORDER BY total_value DESC
`;
const result = await this.sxtProvider.query(query);
return result;
};
// Performance Analysis
getPerformanceMetrics: async (walletAddress: string, timePeriod: string) => {
const query = `
SELECT
total_value_usd,
total_pnl_usd,
total_pnl_percent,
best_performing_asset,
worst_performing_asset,
yield_earned,
total_gas_spent,
total_transactions
FROM PORTFOLIO.PERFORMANCE
WHERE wallet_address = '${walletAddress}'
AND time_period = '${timePeriod}'
ORDER BY calculated_at DESC
LIMIT 1
`;
const result = await this.sxtProvider.query(query);
return result[0];
};
}Risk Analysis Engine
Sophisticated risk assessment capabilities:
interface RiskAnalysis {
// Calculate Overall Risk Score
calculateRiskScore: async (walletAddress: string) => {
// Concentration Risk (0-1)
const concentrationRisk = await this.calculateConcentrationRisk(walletAddress);
// Liquidity Risk (0-1)
const liquidityRisk = await this.calculateLiquidityRisk(walletAddress);
// Protocol Risk (0-1)
const protocolRisk = await this.calculateProtocolRisk(walletAddress);
// Volatility Risk (0-1)
const volatilityRisk = await this.calculateVolatilityRisk(walletAddress);
// Correlation Risk (0-1)
const correlationRisk = await this.calculateCorrelationRisk(walletAddress);
// Weighted overall risk score
const overallRiskScore = (
concentrationRisk * 0.25 +
liquidityRisk * 0.20 +
protocolRisk * 0.20 +
volatilityRisk * 0.20 +
correlationRisk * 0.15
);
return {
overall_risk_score: overallRiskScore,
concentration_risk: concentrationRisk,
liquidity_risk: liquidityRisk,
protocol_risk: protocolRisk,
volatility_risk: volatilityRisk,
correlation_risk: correlationRisk,
risk_level: this.getRiskLevel(overallRiskScore),
recommendations: this.generateRiskRecommendations(overallRiskScore)
};
};
// Concentration Risk Analysis
calculateConcentrationRisk: async (walletAddress: string) => {
const query = `
SELECT
MAX(allocation_percent) as max_allocation,
COUNT(*) as total_positions
FROM (
SELECT
token_symbol,
SUM(value_usd) * 100.0 / SUM(SUM(value_usd)) OVER () as allocation_percent
FROM PORTFOLIO.ASSETS
WHERE wallet_address = '${walletAddress}'
GROUP BY token_symbol
) allocations
`;
const result = await this.sxtProvider.query(query);
const { max_allocation, total_positions } = result[0];
// Higher concentration = higher risk
let concentrationRisk = 0;
if (max_allocation > 50) concentrationRisk = 0.8;
else if (max_allocation > 30) concentrationRisk = 0.6;
else if (max_allocation > 20) concentrationRisk = 0.4;
else if (max_allocation > 10) concentrationRisk = 0.2;
else concentrationRisk = 0.1;
// Adjust for number of positions
if (total_positions < 5) concentrationRisk += 0.2;
else if (total_positions < 10) concentrationRisk += 0.1;
return Math.min(concentrationRisk, 1.0);
};
// Protocol Risk Analysis
calculateProtocolRisk: async (walletAddress: string) => {
const query = `
SELECT
protocol,
SUM(value_usd) as protocol_value,
COUNT(*) as positions_count
FROM PORTFOLIO.ASSETS
WHERE wallet_address = '${walletAddress}'
AND protocol IS NOT NULL
GROUP BY protocol
ORDER BY protocol_value DESC
`;
const result = await this.sxtProvider.query(query);
// Protocol risk scores (0-1, higher = riskier)
const protocolRiskScores = {
'uniswap': 0.2,
'aave': 0.3,
'compound': 0.3,
'curve': 0.4,
'yearn': 0.5,
'sushiswap': 0.4,
'balancer': 0.4,
'convex': 0.6,
'unknown': 0.8
};
let weightedRisk = 0;
let totalValue = 0;
for (const protocol of result) {
const riskScore = protocolRiskScores[protocol.protocol] || protocolRiskScores.unknown;
weightedRisk += riskScore * protocol.protocol_value;
totalValue += protocol.protocol_value;
}
return totalValue > 0 ? weightedRisk / totalValue : 0;
};
}Market Intelligence Engine
Advanced market analysis and opportunity detection:
interface MarketIntelligence {
// Yield Opportunity Detection
findYieldOpportunities: async (walletAddress: string) => {
const query = `
WITH user_tokens AS (
SELECT DISTINCT token_address, token_symbol, balance
FROM PORTFOLIO.ASSETS
WHERE wallet_address = '${walletAddress}'
AND balance > 0
),
yield_opportunities AS (
SELECT
ut.token_symbol,
ut.balance,
yo.protocol,
yo.apy,
yo.tvl,
yo.risk_score,
yo.liquidity_score,
(yo.apy * ut.balance * 0.01) as estimated_yearly_yield
FROM user_tokens ut
JOIN MARKET.YIELD_OPPORTUNITIES yo ON ut.token_address = yo.token_address
WHERE yo.apy > 5.0 -- Only opportunities with >5% APY
AND yo.risk_score < 0.7 -- Low to medium risk
AND yo.liquidity_score > 0.5 -- Good liquidity
)
SELECT * FROM yield_opportunities
ORDER BY estimated_yearly_yield DESC
LIMIT 10
`;
const result = await this.sxtProvider.query(query);
return result;
};
// Arbitrage Opportunity Detection
findArbitrageOpportunities: async (walletAddress: string) => {
const query = `
WITH user_tokens AS (
SELECT DISTINCT token_address, token_symbol, balance
FROM PORTFOLIO.ASSETS
WHERE wallet_address = '${walletAddress}'
AND balance > 1000 -- Minimum balance for arbitrage
),
price_differences AS (
SELECT
ut.token_symbol,
ut.balance,
p1.exchange as exchange_1,
p1.price as price_1,
p2.exchange as exchange_2,
p2.price as price_2,
((p2.price - p1.price) / p1.price) * 100 as price_diff_percent,
(p2.price - p1.price) * ut.balance as potential_profit
FROM user_tokens ut
JOIN MARKET.PRICES p1 ON ut.token_address = p1.token_address
JOIN MARKET.PRICES p2 ON ut.token_address = p2.token_address
WHERE p1.exchange != p2.exchange
AND p1.last_updated > NOW() - INTERVAL '5 minutes'
AND p2.last_updated > NOW() - INTERVAL '5 minutes'
AND ABS((p2.price - p1.price) / p1.price) > 0.02 -- >2% price difference
)
SELECT * FROM price_differences
WHERE potential_profit > 50 -- Minimum $50 profit
ORDER BY price_diff_percent DESC
LIMIT 5
`;
const result = await this.sxtProvider.query(query);
return result;
};
// Market Trend Analysis
analyzeMarketTrends: async (timeframe: string) => {
const query = `
SELECT
token_symbol,
AVG(price) as avg_price,
MIN(price) as min_price,
MAX(price) as max_price,
STDDEV(price) as price_volatility,
COUNT(*) as data_points,
(MAX(price) - MIN(price)) / MIN(price) * 100 as price_range_percent
FROM MARKET.PRICE_HISTORY
WHERE timestamp > NOW() - INTERVAL '${timeframe}'
GROUP BY token_symbol
HAVING COUNT(*) > 10 -- Ensure sufficient data
ORDER BY price_range_percent DESC
`;
const result = await this.sxtProvider.query(query);
return result;
};
}AI-Powered Task Interpretation
Natural Language Processing
Advanced AI-powered task interpretation:
interface TaskInterpretation {
// Parse natural language queries
parseTaskWithAI: async (task: string) => {
if (!this.aiProvider) {
throw new Error('AI provider not initialized');
}
const systemPrompt = `You are a SXT Analytics Agent specialized in portfolio analytics and blockchain data analysis.
Your task is to interpret user requests and map them to appropriate analytics operations.
Available operations:
- portfolio_summary: Get overall portfolio overview
- asset_allocation: Analyze asset distribution
- performance_analysis: Calculate performance metrics
- risk_assessment: Evaluate portfolio risks
- yield_opportunities: Find yield farming opportunities
- arbitrage_opportunities: Detect arbitrage possibilities
- market_trends: Analyze market trends
- transaction_analysis: Analyze transaction patterns
- correlation_analysis: Analyze asset correlations
Return a JSON object with operation type and parameters.`;
const userPrompt = `Interpret this request: "${task}"`;
try {
const response = await this.aiProvider.generateText(userPrompt, systemPrompt);
return JSON.parse(response.text);
} catch (error) {
console.error('Error parsing task with AI:', error);
return {
operation: 'portfolio_summary',
parameters: { task }
};
}
};
// Execute analytics operations
executeOperation: async (operation: string, parameters: any) => {
switch (operation) {
case 'portfolio_summary':
return await this.getPortfolioSummary(parameters.wallet_address);
case 'asset_allocation':
return await this.getAssetAllocation(parameters.wallet_address);
case 'performance_analysis':
return await this.getPerformanceAnalysis(
parameters.wallet_address,
parameters.time_period
);
case 'risk_assessment':
return await this.getRiskAssessment(parameters.wallet_address);
case 'yield_opportunities':
return await this.findYieldOpportunities(parameters.wallet_address);
case 'arbitrage_opportunities':
return await this.findArbitrageOpportunities(parameters.wallet_address);
case 'market_trends':
return await this.analyzeMarketTrends(parameters.timeframe);
case 'transaction_analysis':
return await this.analyzeTransactionPatterns(
parameters.wallet_address,
parameters.time_period
);
case 'correlation_analysis':
return await this.analyzeAssetCorrelations(parameters.wallet_address);
default:
throw new Error(`Unknown operation: ${operation}`);
}
};
}Predictive Analytics
AI-powered predictive modeling:
interface PredictiveAnalytics {
// Predict portfolio performance
predictPortfolioPerformance: async (walletAddress: string, timeHorizon: string) => {
const historicalData = await this.getHistoricalPerformance(walletAddress, '1y');
const marketData = await this.getMarketData(timeHorizon);
const prediction = await this.aiProvider.generateText(
`Based on historical performance and market data, predict portfolio performance for ${timeHorizon}:
Historical Data: ${JSON.stringify(historicalData)}
Market Data: ${JSON.stringify(marketData)}
Provide predictions for:
- Expected return percentage
- Risk level (0-1)
- Confidence level (0-1)
- Key factors affecting performance
- Recommended actions`,
`You are a financial analyst specialized in DeFi portfolio predictions.
Use historical data and market trends to make realistic predictions.
Consider factors like market volatility, protocol risks, and asset correlations.`
);
return this.parsePredictionResponse(prediction.text);
};
// Predict optimal rebalancing
predictOptimalRebalancing: async (walletAddress: string) => {
const currentAllocation = await this.getAssetAllocation(walletAddress);
const riskMetrics = await this.calculateRiskScore(walletAddress);
const marketTrends = await this.analyzeMarketTrends('30d');
const rebalancingAdvice = await this.aiProvider.generateText(
`Analyze current portfolio allocation and recommend optimal rebalancing:
Current Allocation: ${JSON.stringify(currentAllocation)}
Risk Metrics: ${JSON.stringify(riskMetrics)}
Market Trends: ${JSON.stringify(marketTrends)}
Provide recommendations for:
- Assets to increase/decrease
- Target allocation percentages
- Timing for rebalancing
- Expected impact on risk/return`,
`You are a portfolio optimization expert.
Consider risk-adjusted returns, correlation between assets, and market conditions.
Provide specific, actionable recommendations.`
);
return this.parseRebalancingAdvice(rebalancingAdvice.text);
};
}Event System Integration
Real-Time Data Processing
Comprehensive event-driven data processing:
interface EventProcessing {
// Handle portfolio updates
handlePortfolioUpdate: async (data: PortfolioUpdateData) => {
const { assets, transactions, wallet_address } = data;
// Update assets in database
for (const asset of assets) {
await this.updateAsset(asset);
}
// Process new transactions
for (const transaction of transactions) {
await this.processTransaction(transaction);
}
// Recalculate analytics
await this.recalculateAnalytics(wallet_address);
// Generate insights
const insights = await this.generateInsights(wallet_address);
// Emit results
this.eventBus.emit('analytics-update', {
wallet_address,
assets,
transactions,
insights,
timestamp: Date.now()
});
};
// Handle task manager requests
handleTaskManagerRequest: async (data: TaskManagerRequest) => {
const { taskId, task } = data;
try {
// Parse task with AI
const { operation, parameters } = await this.parseTaskWithAI(task);
// Execute operation
const result = await this.executeOperation(operation, parameters);
// Store result
this.taskResults.set(taskId, result);
// Emit completion
this.eventBus.emit('sxt-analytics-agent-task-manager', {
taskId,
status: 'completed',
result
});
} catch (error) {
this.eventBus.emit('sxt-analytics-agent-task-manager', {
taskId,
status: 'failed',
error: error.message
});
}
};
// Real-time analytics updates
provideRealTimeAnalytics: async (walletAddress: string) => {
const analytics = {
portfolio_value: await this.getPortfolioValue(walletAddress),
risk_score: await this.calculateRiskScore(walletAddress),
yield_opportunities: await this.findYieldOpportunities(walletAddress),
performance_metrics: await this.getPerformanceMetrics(walletAddress, '24h'),
market_alerts: await this.getMarketAlerts(walletAddress)
};
this.eventBus.emit('real-time-analytics', {
wallet_address: walletAddress,
analytics,
timestamp: Date.now()
});
};
}Automated Alerts System
Intelligent alert system for portfolio management:
interface AlertSystem {
// Risk-based alerts
generateRiskAlerts: async (walletAddress: string) => {
const riskMetrics = await this.calculateRiskScore(walletAddress);
const alerts = [];
// High risk alert
if (riskMetrics.overall_risk_score > 0.8) {
alerts.push({
type: 'HIGH_RISK',
severity: 'critical',
message: `Portfolio risk score is ${riskMetrics.overall_risk_score.toFixed(2)} (High Risk)`,
recommendations: riskMetrics.recommendations,
action_required: true
});
}
// Concentration risk alert
if (riskMetrics.concentration_risk > 0.7) {
alerts.push({
type: 'CONCENTRATION_RISK',
severity: 'warning',
message: 'High concentration risk detected',
recommendations: ['Diversify portfolio', 'Reduce largest positions'],
action_required: false
});
}
// Protocol risk alert
if (riskMetrics.protocol_risk > 0.6) {
alerts.push({
type: 'PROTOCOL_RISK',
severity: 'warning',
message: 'High protocol risk exposure',
recommendations: ['Review protocol safety', 'Consider protocol diversification'],
action_required: false
});
}
return alerts;
};
// Performance alerts
generatePerformanceAlerts: async (walletAddress: string) => {
const performance = await this.getPerformanceMetrics(walletAddress, '24h');
const alerts = [];
// Large loss alert
if (performance.total_pnl_percent < -10) {
alerts.push({
type: 'LARGE_LOSS',
severity: 'critical',
message: `Portfolio down ${Math.abs(performance.total_pnl_percent).toFixed(2)}% in 24h`,
recommendations: ['Review positions', 'Consider risk management'],
action_required: true
});
}
// Exceptional gain alert
if (performance.total_pnl_percent > 20) {
alerts.push({
type: 'EXCEPTIONAL_GAIN',
severity: 'info',
message: `Portfolio up ${performance.total_pnl_percent.toFixed(2)}% in 24h`,
recommendations: ['Consider taking profits', 'Review position sizes'],
action_required: false
});
}
return alerts;
};
// Opportunity alerts
generateOpportunityAlerts: async (walletAddress: string) => {
const yieldOpportunities = await this.findYieldOpportunities(walletAddress);
const arbitrageOpportunities = await this.findArbitrageOpportunities(walletAddress);
const alerts = [];
// High yield opportunities
for (const opportunity of yieldOpportunities) {
if (opportunity.apy > 15 && opportunity.risk_score < 0.5) {
alerts.push({
type: 'HIGH_YIELD_OPPORTUNITY',
severity: 'info',
message: `High yield opportunity: ${opportunity.protocol} offering ${opportunity.apy.toFixed(2)}% APY`,
data: opportunity,
action_required: false
});
}
}
// Arbitrage opportunities
for (const opportunity of arbitrageOpportunities) {
if (opportunity.potential_profit > 100) {
alerts.push({
type: 'ARBITRAGE_OPPORTUNITY',
severity: 'info',
message: `Arbitrage opportunity: $${opportunity.potential_profit.toFixed(2)} potential profit`,
data: opportunity,
action_required: false
});
}
}
return alerts;
};
}Performance Optimization
Efficient Data Processing
Optimized data processing strategies:
const dataProcessingOptimization = {
// Batch processing for large datasets
batchProcessAssets: async (assets: Asset[], batchSize: number = 100) => {
const batches = chunkArray(assets, batchSize);
const results = [];
for (const batch of batches) {
const batchResults = await Promise.all(
batch.map(asset => this.processAsset(asset))
);
results.push(...batchResults);
}
return results;
},
// Parallel query execution
executeParallelQueries: async (queries: string[]) => {
const results = await Promise.all(
queries.map(query => this.sxtProvider.query(query))
);
return results;
},
// Smart caching strategy
cacheStrategy: {
portfolioData: { ttl: 300000 }, // 5 minutes
riskMetrics: { ttl: 600000 }, // 10 minutes
marketData: { ttl: 60000 }, // 1 minute
historicalData: { ttl: 3600000 }, // 1 hour
analytics: { ttl: 900000 } // 15 minutes
},
// Data compression for large datasets
compressData: (data: any) => {
return JSON.stringify(data);
},
// Memory optimization
optimizeMemoryUsage: () => {
// Clear old cached data
this.cache.clear();
// Limit result set sizes
this.taskResults.forEach((result, taskId) => {
if (result.timestamp < Date.now() - 3600000) { // 1 hour
this.taskResults.delete(taskId);
}
});
}
};Query Optimization
Advanced SQL query optimization:
const queryOptimization = {
// Optimized portfolio value calculation
getOptimizedPortfolioValue: async (walletAddress: string) => {
const query = `
SELECT
SUM(a.balance * p.price) as total_value_usd,
COUNT(*) as total_positions,
COUNT(DISTINCT a.chain_id) as chains_count
FROM PORTFOLIO.ASSETS a
JOIN MARKET.PRICES p ON a.token_address = p.token_address
WHERE a.wallet_address = $1
AND a.balance > 0
AND p.last_updated > NOW() - INTERVAL '1 hour'
`;
const result = await this.sxtProvider.query(query, [walletAddress]);
return result[0];
},
// Efficient transaction analysis
getOptimizedTransactionAnalysis: async (walletAddress: string, days: number) => {
const query = `
WITH daily_stats AS (
SELECT
DATE(timestamp) as date,
COUNT(*) as tx_count,
SUM(gas_used * gas_price / 1e18) as gas_spent_eth,
COUNT(DISTINCT protocol) as protocols_used
FROM PORTFOLIO.TRANSACTIONS
WHERE wallet_address = $1
AND timestamp > NOW() - INTERVAL '${days} days'
GROUP BY DATE(timestamp)
)
SELECT
AVG(tx_count) as avg_daily_transactions,
AVG(gas_spent_eth) as avg_daily_gas_spent,
AVG(protocols_used) as avg_daily_protocols,
SUM(gas_spent_eth) as total_gas_spent
FROM daily_stats
`;
const result = await this.sxtProvider.query(query, [walletAddress]);
return result[0];
},
// Indexed queries for better performance
createOptimizedIndexes: async () => {
const indexes = [
'CREATE INDEX IF NOT EXISTS idx_assets_wallet_address ON PORTFOLIO.ASSETS(wallet_address)',
'CREATE INDEX IF NOT EXISTS idx_assets_token_address ON PORTFOLIO.ASSETS(token_address)',
'CREATE INDEX IF NOT EXISTS idx_transactions_wallet_address ON PORTFOLIO.TRANSACTIONS(wallet_address)',
'CREATE INDEX IF NOT EXISTS idx_transactions_timestamp ON PORTFOLIO.TRANSACTIONS(timestamp)',
'CREATE INDEX IF NOT EXISTS idx_analytics_wallet_address ON PORTFOLIO.ANALYTICS(wallet_address)',
'CREATE INDEX IF NOT EXISTS idx_analytics_metric_type ON PORTFOLIO.ANALYTICS(metric_type)',
'CREATE INDEX IF NOT EXISTS idx_performance_wallet_address ON PORTFOLIO.PERFORMANCE(wallet_address)',
'CREATE INDEX IF NOT EXISTS idx_risk_metrics_wallet_address ON PORTFOLIO.RISK_METRICS(wallet_address)'
];
for (const index of indexes) {
await this.sxtProvider.query(index);
}
}
};Security and Privacy
Data Protection
Comprehensive data protection measures:
const dataProtection = {
// Encrypt sensitive data
encryptSensitiveData: async (data: any) => {
const encryptedData = await this.encryption.encrypt(JSON.stringify(data));
return encryptedData;
},
// Anonymize wallet addresses
anonymizeWalletAddress: (address: string) => {
return this.hashFunction(address);
},
// Secure database connections
secureConnection: {
useSSL: true,
certificateValidation: true,
connectionTimeout: 30000,
idleTimeout: 60000
},
// Data access controls
accessControl: {
readPermissions: ['admin', 'analytics', 'observer'],
writePermissions: ['admin', 'analytics'],
deletePermissions: ['admin']
}
};Privacy Preservation
Privacy-preserving analytics:
const privacyPreservation = {
// Differential privacy for analytics
addDifferentialPrivacy: (data: number[], epsilon: number = 0.1) => {
const noise = this.generateLaplaceNoise(epsilon);
return data.map(value => value + noise);
},
// Aggregate data without exposing individual records
aggregatePrivately: async (query: string) => {
const result = await this.sxtProvider.query(query);
// Add noise to prevent exact identification
if (result.length > 0 && result.length < 5) {
return null; // Don't return small result sets
}
return result;
},
// Zero-knowledge proofs for verification
generateZKProof: async (data: any) => {
// Implementation depends on specific ZK library
return this.zkProofSystem.generate(data);
}
};Configuration and Deployment
Environment Configuration
# Space and Time Configuration
SXT_USER_ID=your_sxt_user_id
SXT_PRIVATE_KEY=your_sxt_private_key
SXT_API_URL=https://api.spaceandtime.io
# Database Configuration
SXT_DATABASE_NAME=portfolio_analytics
SXT_SCHEMA_NAME=PORTFOLIO
# AI Configuration
OPENAI_API_KEY=your_openai_api_key
GROQ_API_KEY=your_groq_api_key
# Analytics Configuration
ANALYTICS_REFRESH_INTERVAL=300000 # 5 minutes
RISK_CALCULATION_INTERVAL=600000 # 10 minutes
ALERT_CHECK_INTERVAL=60000 # 1 minute
# Performance Configuration
BATCH_SIZE=100
MAX_CONCURRENT_QUERIES=10
CACHE_SIZE=1000
CACHE_TTL=300000 # 5 minutesDeployment Configuration
const deploymentConfig = {
// Production settings
production: {
batchSize: 100,
maxConcurrentQueries: 20,
cacheSize: 5000,
cacheTTL: 300000,
alertThreshold: 0.8,
riskCalculationInterval: 300000
},
// Development settings
development: {
batchSize: 10,
maxConcurrentQueries: 5,
cacheSize: 100,
cacheTTL: 60000,
alertThreshold: 0.6,
riskCalculationInterval: 60000
},
// Testing settings
testing: {
batchSize: 5,
maxConcurrentQueries: 2,
cacheSize: 50,
cacheTTL: 30000,
alertThreshold: 0.5,
riskCalculationInterval: 30000
}
};Monitoring and Health Checks
System Health Monitoring
Comprehensive health monitoring system:
const healthMonitoring = {
// Database connectivity check
checkDatabaseHealth: async () => {
try {
const result = await this.sxtProvider.query('SELECT 1');
return { status: 'healthy', latency: Date.now() - startTime };
} catch (error) {
return { status: 'unhealthy', error: error.message };
}
},
// Data freshness check
checkDataFreshness: async () => {
const query = `
SELECT
MAX(last_updated) as latest_update,
COUNT(*) as total_records
FROM PORTFOLIO.ASSETS
`;
const result = await this.sxtProvider.query(query);
const latestUpdate = new Date(result[0].latest_update);
const staleness = Date.now() - latestUpdate.getTime();
return {
status: staleness < 3600000 ? 'fresh' : 'stale', // 1 hour threshold
staleness,
totalRecords: result[0].total_records
};
},
// Performance metrics
getPerformanceMetrics: () => {
return {
averageQueryTime: this.metrics.averageQueryTime,
successRate: this.metrics.successRate,
errorRate: this.metrics.errorRate,
cacheHitRate: this.metrics.cacheHitRate,
memoryUsage: process.memoryUsage()
};
}
};Future Enhancements
Planned Features
Upcoming enhancements for the SXT Analytics Agent:
Advanced Machine Learning: Implementation of more sophisticated ML models for predictive analytics
Real-Time Streaming: Enhanced real-time data streaming capabilities
Cross-Chain Analytics: Expanded cross-chain analysis and correlation
DeFi Protocol Integration: Native integration with more DeFi protocols
Advanced Visualization: Enhanced data visualization and reporting capabilities
Custom Metrics: User-defined custom analytics metrics
Research and Development
Ongoing research initiatives:
Quantum Computing Integration: Exploring quantum computing for complex portfolio optimization
Advanced Privacy Techniques: Research into advanced privacy-preserving analytics
Distributed Computing: Distributed analytics processing across multiple nodes
Blockchain Analytics: Advanced on-chain analytics and pattern recognition
Federated Learning: Privacy-preserving machine learning across multiple portfolios
Conclusion
The SXT Analytics Agent represents a significant advancement in blockchain analytics and portfolio management technology. By leveraging Space and Time's powerful data infrastructure, sophisticated AI capabilities, and comprehensive analytics tools, it provides users with unprecedented insights into their DeFi portfolios.
Its comprehensive database schema, advanced risk analysis capabilities, and real-time monitoring system make it an essential component of the Ava Portfolio Manager ecosystem. The SXT Analytics Agent's ability to process vast amounts of blockchain data, identify patterns and opportunities, and provide actionable insights helps users make informed decisions in the complex world of DeFi.
Through continuous learning and adaptation, the SXT Analytics Agent evolves to provide increasingly accurate and valuable insights, making it an indispensable tool for modern portfolio management in the decentralized finance space. Its integration with other agents in the Ava system creates a powerful, intelligent platform for automated portfolio optimization and risk management.
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