/**
* Alert & Notification System Tools
*
* Provides smart alert creation, social sentiment analysis, and
* intelligent notification management.
*/
// Tool for creating smart alerts
const createSmartAlert = {
name: 'create_smart_alert',
description: 'Create a multi-condition intelligent alert',
parameters: {
type: 'object',
required: ['conditions', 'priority'],
properties: {
conditions: {
type: 'array',
items: {
type: 'object',
properties: {
type: { type: 'string' },
asset: { type: 'string' },
parameter: { type: 'string' },
operator: { type: 'string' },
value: { type: 'number' }
}
},
description: 'Alert conditions'
},
logic: {
type: 'string',
enum: ['AND', 'OR', 'CUSTOM'],
description: 'Logic to apply between conditions'
},
priority: {
type: 'string',
enum: ['low', 'medium', 'high', 'critical'],
description: 'Alert priority'
},
channels: {
type: 'array',
items: { type: 'string' },
description: 'Notification channels'
}
}
},
handler: async ({ conditions, logic = 'AND', priority, channels = ['email'] }) => {
try {
// Generate a unique alert ID
const alertId = 'alert_' + Math.random().toString(36).substring(2, 8);
// Map conditions to readable descriptions
const conditionDescriptions = conditions.map(condition => {
const { type, asset, parameter, operator, value } = condition;
let description;
if (type === 'price') {
description = `Price of ${asset} ${operator} ${value}`;
} else if (type === 'technical') {
description = `${parameter} for ${asset} ${operator} ${value}`;
} else if (type === 'volume') {
description = `Volume of ${asset} ${operator} ${value}x average`;
} else if (type === 'sentiment') {
description = `Social sentiment for ${asset} ${operator} ${value}%`;
} else {
description = `${type} condition for ${asset}`;
}
return description;
});
// Create a description for the alert
const logicDescription = logic === 'AND' ? 'ALL conditions are met' :
logic === 'OR' ? 'ANY condition is met' :
'Custom logic applied';
const alertDescription = `Alert when ${logicDescription}: ${conditionDescriptions.join('; ')}`;
// Create the alert
const alert = {
id: alertId,
name: `${priority.toUpperCase()} Alert: ${conditions[0].asset}`,
description: alertDescription,
conditions,
logic,
priority,
notification_channels: channels,
created_at: new Date().toISOString(),
status: 'active',
triggered_count: 0
};
return {
alert,
message: 'Alert created successfully',
estimated_triggers: calculateEstimatedTriggers(conditions, logic),
recommended_settings: generateRecommendedSettings(conditions, priority)
};
} catch (error) {
return {
error: true,
message: `Failed to create alert: ${error.message}`
};
}
}
};
// Helper function for estimated triggers
function calculateEstimatedTriggers(conditions, logic) {
// This would use historical data in a real implementation
// Here we just return a dummy value
return {
daily: logic === 'AND' ? 0.2 : 2.5,
weekly: logic === 'AND' ? 1.5 : 17.5,
noise_ratio: logic === 'AND' ? 'Low' : 'Medium'
};
}
// Helper function for recommended settings
function generateRecommendedSettings(conditions, priority) {
// In a real implementation, this would analyze the conditions
// and suggest optimal settings based on historical data
return {
suggestion: "Consider adding volume confirmation to reduce false positives",
alternative_parameters: {
threshold: conditions[0].value * 1.05,
timeframe: '4h instead of 1h'
},
notification_recommendations:
priority === 'low' ? 'Email only, daily digest' :
priority === 'medium' ? 'Email + Push notifications' :
priority === 'high' ? 'Email + SMS + Push' :
'All channels with phone call for critical alerts'
};
}
// Tool for analyzing social sentiment
const analyzeSocialSentiment = {
name: 'analyze_social_sentiment',
description: 'Analyze social media sentiment for cryptocurrencies',
parameters: {
type: 'object',
required: ['assets'],
properties: {
assets: {
type: 'array',
items: { type: 'string' },
description: 'Assets to analyze'
},
platforms: {
type: 'array',
items: { type: 'string' },
description: 'Social platforms to include'
},
timeframe: {
type: 'string',
description: 'Timeframe for analysis'
}
}
},
handler: async ({ assets, platforms = ['twitter', 'reddit', 'telegram'], timeframe = '24h' }) => {
try {
// Demo implementation - would use real sentiment analysis in production
const sentimentResults = assets.map(asset => {
// Generate consistent but random-looking sentiment scores
const hash = asset.split('').reduce((acc, char) => acc + char.charCodeAt(0), 0);
const baseScore = (hash % 40 + 50) / 100; // Between 0.5 and 0.9
return {
asset,
overallSentiment: {
score: baseScore,
classification: baseScore > 0.7 ? 'BULLISH' : baseScore > 0.5 ? 'NEUTRAL' : 'BEARISH',
confidence: 0.85
},
platformSentiment: {
twitter: {
score: baseScore - 0.03,
volume: 45000 + (hash % 15000),
trending: hash % 5 === 0,
keyInfluencers: ['user1', 'user2']
},
reddit: {
score: baseScore + 0.05,
volume: 28000 + (hash % 12000),
trending: hash % 4 === 0,
topSubreddits: ['r/cryptocurrency', `r/${asset.toLowerCase()}`]
},
telegram: {
score: baseScore - 0.01,
volume: 35000 + (hash % 10000),
trending: hash % 3 === 0,
topGroups: ['Official', 'Trading']
}
},
timeSeriesData: Array.from({ length: 7 }, (_, i) => ({
date: new Date(Date.now() - (6-i) * 24 * 60 * 60 * 1000).toISOString().split('T')[0],
sentiment: baseScore + (Math.sin(i) * 0.1),
volume: 35000 + (Math.cos(i) * 5000)
})),
topTopics: [
{ topic: 'price', frequency: 32.5, sentiment: baseScore + 0.05 },
{ topic: 'adoption', frequency: 18.7, sentiment: baseScore + 0.15 },
{ topic: 'development', frequency: 12.3, sentiment: baseScore + 0.1 }
],
sentimentCorrelation: {
priceCorrelation: 0.68,
volumeCorrelation: 0.54,
timeDelay: '2.5 hours'
},
tradingSignals: {
signal: baseScore > 0.7 ? 'BUY' : baseScore > 0.5 ? 'NEUTRAL' : 'SELL',
strength: (baseScore - 0.5) * 2, // 0 to 1 scale
timeframe: '1-3 days',
reliability: 'Medium'
}
};
});
return {
results: sentimentResults,
timestamp: Date.now(),
analysisPeriod: timeframe,
platformsCovered: platforms,
marketSentimentSummary: {
overall: calculateAverageSentiment(sentimentResults),
trend: 'Improving',
outliers: sentimentResults
.filter(result => Math.abs(result.overallSentiment.score - 0.6) > 0.2)
.map(result => result.asset)
}
};
} catch (error) {
return {
error: true,
message: `Failed to analyze sentiment: ${error.message}`
};
}
}
};
// Helper function to calculate average sentiment
function calculateAverageSentiment(results) {
const sum = results.reduce((acc, result) => acc + result.overallSentiment.score, 0);
return sum / results.length;
}
// Tool for alert prioritization
const prioritizeAlerts = {
name: 'prioritize_alerts',
description: 'Intelligently prioritize and filter alerts based on context',
parameters: {
type: 'object',
required: ['alerts'],
properties: {
alerts: {
type: 'array',
items: {
type: 'object',
properties: {
id: { type: 'string' },
type: { type: 'string' },
asset: { type: 'string' },
message: { type: 'string' },
priority: { type: 'string' }
}
},
description: 'Alerts to prioritize'
},
userPreferences: {
type: 'object',
description: 'User notification preferences'
},
marketContext: {
type: 'object',
description: 'Current market conditions'
}
}
},
handler: async ({ alerts, userPreferences = {}, marketContext = {} }) => {
try {
// Determine market volatility level from context or default to medium
const volatility = marketContext.volatility || 'medium';
// Default user preferences if not provided
const preferences = {
maxAlertsPerHour: userPreferences.maxAlertsPerHour || 5,
minPriority: userPreferences.minPriority || 'low',
quietHours: userPreferences.quietHours || { start: 22, end: 8 },
assetPriorities: userPreferences.assetPriorities || {}
};
// Check if we're in quiet hours
const currentHour = new Date().getHours();
const inQuietHours = currentHour >= preferences.quietHours.start ||
currentHour < preferences.quietHours.end;
// Priority mapping (higher number = higher priority)
const priorityScores = {
'low': 1,
'medium': 2,
'high': 3,
'critical': 4
};
// Minimum priority during quiet hours
const quietHoursMinPriority = 'high';
// Calculate scores for each alert
const scoredAlerts = alerts.map(alert => {
// Base score from alert priority
let score = priorityScores[alert.priority] || 1;
// Adjust for user asset priorities
if (preferences.assetPriorities[alert.asset]) {
score += preferences.assetPriorities[alert.asset];
}
// Adjust for market volatility
if (volatility === 'high') {
// During high volatility, reduce score of low priority alerts to avoid noise
if (alert.priority === 'low') {
score -= 0.5;
}
} else if (volatility === 'low') {
// During low volatility, even low priority alerts are more relevant
if (alert.priority === 'low') {
score += 0.5;
}
}
// Check if this alert should be filtered during quiet hours
const filteredDuringQuietHours = inQuietHours &&
priorityScores[alert.priority] < priorityScores[quietHoursMinPriority];
return {
...alert,
score,
filtered: filteredDuringQuietHours ||
priorityScores[alert.priority] < priorityScores[preferences.minPriority]
};
});
// Sort by score (higher first)
scoredAlerts.sort((a, b) => b.score - a.score);
// Limit to max alerts per hour (but always include critical)
const criticalAlerts = scoredAlerts.filter(alert => alert.priority === 'critical' && !alert.filtered);
const regularAlerts = scoredAlerts.filter(alert => alert.priority !== 'critical' && !alert.filtered);
const maxRegularAlerts = Math.max(0, preferences.maxAlertsPerHour - criticalAlerts.length);
const limitedRegularAlerts = regularAlerts.slice(0, maxRegularAlerts);
// Combine critical with limited regular alerts
const prioritizedAlerts = [...criticalAlerts, ...limitedRegularAlerts];
// Determine delivery channels based on priority
const deliveryRecommendations = prioritizedAlerts.map(alert => ({
alert_id: alert.id,
channels: determineChannels(alert.priority, inQuietHours),
delivery_time: determineDeliveryTime(alert.priority, inQuietHours)
}));
return {
prioritizedAlerts,
filteredAlerts: scoredAlerts.filter(alert =>
alert.filtered || (!prioritizedAlerts.some(a => a.id === alert.id))
),
deliveryRecommendations,
context: {
marketVolatility: volatility,
inQuietHours,
maxAlertsPerHour: preferences.maxAlertsPerHour
}
};
} catch (error) {
return {
error: true,
message: `Failed to prioritize alerts: ${error.message}`
};
}
}
};
// Helper functions for alert prioritization
function determineChannels(priority, inQuietHours) {
if (priority === 'critical') {
return ['email', 'sms', 'push', 'phone'];
} else if (priority === 'high') {
return inQuietHours ? ['email', 'push'] : ['email', 'sms', 'push'];
} else if (priority === 'medium') {
return inQuietHours ? ['email'] : ['email', 'push'];
} else {
return ['email'];
}
}
function determineDeliveryTime(priority, inQuietHours) {
if (priority === 'critical' || priority === 'high') {
return 'immediate';
} else if (priority === 'medium') {
return inQuietHours ? 'morning_digest' : 'immediate';
} else {
return inQuietHours ? 'morning_digest' : 'hourly_digest';
}
}
// Tool for creating predictive alerts
const createPredictiveAlert = {
name: 'create_predictive_alert',
description: 'Create an alert based on predicted future conditions',
parameters: {
type: 'object',
required: ['model', 'threshold'],
properties: {
model: {
type: 'string',
enum: ['price_prediction', 'volatility_forecast', 'pattern_completion', 'trend_reversal'],
description: 'Prediction model to use'
},
threshold: {
type: 'number',
description: 'Confidence threshold for prediction'
},
leadTime: {
type: 'number',
description: 'Lead time in hours for prediction'
}
}
},
handler: async ({ model, threshold, leadTime = 24 }) => {
try {
// Demo implementation - would use real predictive models in production
// Generate a unique alert ID
const alertId = 'predictive_' + Math.random().toString(36).substring(2, 8);
// Model descriptions
const modelDescriptions = {
price_prediction: 'Price target prediction using ensemble ML',
volatility_forecast: 'Volatility spike prediction using GARCH models',
pattern_completion: 'Chart pattern completion prediction using CNN',
trend_reversal: 'Trend reversal prediction using LSTM networks'
};
// Generate prediction details based on model
let predictionDetails;
if (model === 'price_prediction') {
predictionDetails = {
description: 'Price is predicted to increase/decrease by X% within Y hours',
targetAssets: ['BTC', 'ETH', 'SOL'],
leadTimeRange: '12-48 hours',
confidenceRange: '65-85%',
backtestAccuracy: '72%'
};
} else if (model === 'volatility_forecast') {
predictionDetails = {
description: 'Volatility is predicted to spike above X% within Y hours',
targetAssets: ['Market-wide', 'BTC', 'ETH'],
leadTimeRange: '6-24 hours',
confidenceRange: '70-80%',
backtestAccuracy: '68%'
};
} else if (model === 'pattern_completion') {
predictionDetails = {
description: 'Chart pattern is predicted to complete within Y hours',
targetAssets: ['All major pairs'],
leadTimeRange: '4-72 hours',
confidenceRange: '60-90%',
backtestAccuracy: '65%'
};
} else if (model === 'trend_reversal') {
predictionDetails = {
description: 'Trend reversal is predicted to occur within Y hours',
targetAssets: ['All major pairs'],
leadTimeRange: '24-96 hours',
confidenceRange: '55-75%',
backtestAccuracy: '62%'
};
}
// Create the predictive alert
const alert = {
id: alertId,
name: `Predictive Alert: ${model.replace(/_/g, ' ')}`,
description: modelDescriptions[model],
model,
threshold,
leadTime,
created_at: new Date().toISOString(),
status: 'active',
predictionDetails
};
return {
alert,
message: 'Predictive alert created successfully',
model_details: {
name: model,
description: modelDescriptions[model],
accuracy_metrics: {
precision: 0.72,
recall: 0.68,
f1_score: 0.7
},
leadTimePrecisionTradeoff: 'Higher lead time generally reduces precision. Optimal: 18-24 hours.'
},
recommendations: {
complementaryAlerts: [
'Consider pairing with traditional price alerts at key levels',
'Add volume confirmation alerts for better signal quality'
],
optimalSettings: {
threshold: Math.max(threshold, 0.7),
leadTime: Math.min(leadTime, 48)
}
}
};
} catch (error) {
return {
error: true,
message: `Failed to create predictive alert: ${error.message}`
};
}
}
};
module.exports = {
createSmartAlert,
analyzeSocialSentiment,
prioritizeAlerts,
createPredictiveAlert
};
