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Zhongwei Li
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{
"name": "market-price-tracker",
"description": "Real-time market price tracking with multi-exchange feeds and advanced alerts",
"version": "1.0.0",
"author": {
"name": "Intent Solutions IO",
"email": "jeremy@intentsolutions.ai",
"url": "https://intentsolutions.ai"
},
"skills": [
"./skills"
],
"commands": [
"./commands"
]
}

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# market-price-tracker
Real-time market price tracking with multi-exchange feeds and advanced alerts

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---
description: Analyze price trends with technical indicators, pattern recognition, and market structure analysis
shortcut: at
---
# Analyze Market Trends
Advanced trend analysis system using technical indicators, chart patterns, and market structure to identify trading opportunities.
## Usage
When the user wants to analyze market trends, implement comprehensive technical analysis with these components:
### Required Parameters
- **Symbol**: Asset to analyze
- **Timeframe**: 1m, 5m, 15m, 1h, 4h, 1d, 1w
- **Period**: How far back to analyze (e.g., "30 days", "6 months")
- **Analysis Type**: technical, fundamental, sentiment, or combined
- **Output Format**: report, signals, dashboard
## Implementation
### 1. Technical Analysis Engine
```javascript
class TrendAnalyzer {
constructor() {
this.indicators = new TechnicalIndicators();
this.patterns = new PatternRecognition();
this.marketStructure = new MarketStructureAnalysis();
this.signals = new SignalGenerator();
}
async analyzeTrends(params) {
const {
symbol,
timeframe = '1h',
period = '30d',
analysisType = 'technical',
includeVolume = true
} = params;
// Fetch historical data
const historicalData = await this.fetchHistoricalData(symbol, timeframe, period);
// Perform analysis based on type
const analysis = {
timestamp: Date.now(),
symbol,
timeframe,
period,
dataPoints: historicalData.length,
trend: await this.identifyTrend(historicalData),
momentum: await this.analyzeMomentum(historicalData),
volatility: await this.analyzeVolatility(historicalData),
patterns: await this.detectPatterns(historicalData),
indicators: await this.calculateIndicators(historicalData),
structure: await this.analyzeStructure(historicalData),
signals: await this.generateSignals(historicalData),
forecast: await this.generateForecast(historicalData)
};
// Add volume analysis if requested
if (includeVolume) {
analysis.volume = await this.analyzeVolume(historicalData);
}
// Generate trading recommendations
analysis.recommendations = this.generateRecommendations(analysis);
return analysis;
}
async identifyTrend(data) {
const prices = data.map(d => d.close);
const highs = data.map(d => d.high);
const lows = data.map(d => d.low);
// Calculate trend using multiple methods
const methods = {
movingAverage: this.trendByMovingAverage(prices),
higherHighsLows: this.trendByHigherHighsLows(highs, lows),
linearRegression: this.trendByLinearRegression(prices),
adx: this.trendByADX(data)
};
// Determine overall trend
const trendVotes = Object.values(methods);
const bullishCount = trendVotes.filter(v => v === 'BULLISH').length;
const bearishCount = trendVotes.filter(v => v === 'BEARISH').length;
let overallTrend;
if (bullishCount > bearishCount + 1) {
overallTrend = 'STRONG_BULLISH';
} else if (bullishCount > bearishCount) {
overallTrend = 'BULLISH';
} else if (bearishCount > bullishCount + 1) {
overallTrend = 'STRONG_BEARISH';
} else if (bearishCount > bullishCount) {
overallTrend = 'BEARISH';
} else {
overallTrend = 'NEUTRAL';
}
return {
overall: overallTrend,
strength: this.calculateTrendStrength(data),
duration: this.calculateTrendDuration(data),
methods,
confidence: (Math.max(bullishCount, bearishCount) / trendVotes.length) * 100
};
}
trendByMovingAverage(prices) {
const ma20 = this.calculateSMA(prices, 20);
const ma50 = this.calculateSMA(prices, 50);
const ma200 = this.calculateSMA(prices, 200);
const currentPrice = prices[prices.length - 1];
if (currentPrice > ma20 && ma20 > ma50 && ma50 > ma200) {
return 'BULLISH';
} else if (currentPrice < ma20 && ma20 < ma50 && ma50 < ma200) {
return 'BEARISH';
} else {
return 'NEUTRAL';
}
}
trendByHigherHighsLows(highs, lows) {
const recentHighs = highs.slice(-10);
const recentLows = lows.slice(-10);
let higherHighs = 0;
let lowerLows = 0;
let higherLows = 0;
let lowerHighs = 0;
for (let i = 1; i < recentHighs.length; i++) {
if (recentHighs[i] > recentHighs[i-1]) higherHighs++;
if (recentHighs[i] < recentHighs[i-1]) lowerHighs++;
if (recentLows[i] > recentLows[i-1]) higherLows++;
if (recentLows[i] < recentLows[i-1]) lowerLows++;
}
if (higherHighs > lowerHighs && higherLows > lowerLows) {
return 'BULLISH';
} else if (lowerHighs > higherHighs && lowerLows > higherLows) {
return 'BEARISH';
} else {
return 'NEUTRAL';
}
}
calculateTrendStrength(data) {
const adx = this.calculateADX(data, 14);
const currentADX = adx[adx.length - 1];
if (currentADX > 50) return 'VERY_STRONG';
if (currentADX > 40) return 'STRONG';
if (currentADX > 25) return 'MODERATE';
if (currentADX > 20) return 'WEAK';
return 'VERY_WEAK';
}
async analyzeMomentum(data) {
const prices = data.map(d => d.close);
return {
rsi: this.calculateRSI(prices, 14),
stochastic: this.calculateStochastic(data, 14, 3, 3),
macd: this.calculateMACD(prices),
momentum: this.calculateMomentum(prices, 10),
roc: this.calculateROC(prices, 12),
williamsPR: this.calculateWilliamsPR(data, 14),
cci: this.calculateCCI(data, 20),
mfi: this.calculateMFI(data, 14),
interpretation: this.interpretMomentum(prices)
};
}
calculateRSI(prices, period = 14) {
if (prices.length < period + 1) return null;
const gains = [];
const losses = [];
for (let i = 1; i < prices.length; i++) {
const change = prices[i] - prices[i - 1];
gains.push(change > 0 ? change : 0);
losses.push(change < 0 ? Math.abs(change) : 0);
}
const avgGain = gains.slice(-period).reduce((a, b) => a + b) / period;
const avgLoss = losses.slice(-period).reduce((a, b) => a + b) / period;
if (avgLoss === 0) return 100;
const rs = avgGain / avgLoss;
const rsi = 100 - (100 / (1 + rs));
return {
value: rsi,
signal: rsi > 70 ? 'OVERBOUGHT' : rsi < 30 ? 'OVERSOLD' : 'NEUTRAL',
divergence: this.checkDivergence(prices, rsi)
};
}
calculateMACD(prices) {
const ema12 = this.calculateEMA(prices, 12);
const ema26 = this.calculateEMA(prices, 26);
const macdLine = [];
for (let i = 0; i < Math.min(ema12.length, ema26.length); i++) {
macdLine.push(ema12[i] - ema26[i]);
}
const signal = this.calculateEMA(macdLine, 9);
const histogram = [];
for (let i = 0; i < Math.min(macdLine.length, signal.length); i++) {
histogram.push(macdLine[i] - signal[i]);
}
return {
macd: macdLine[macdLine.length - 1],
signal: signal[signal.length - 1],
histogram: histogram[histogram.length - 1],
crossover: this.detectCrossover(macdLine, signal),
trend: histogram[histogram.length - 1] > 0 ? 'BULLISH' : 'BEARISH'
};
}
async detectPatterns(data) {
const patterns = [];
const prices = data.map(d => ({ open: d.open, high: d.high, low: d.low, close: d.close }));
// Chart Patterns
const chartPatterns = {
headAndShoulders: this.detectHeadAndShoulders(prices),
doubleTop: this.detectDoubleTop(prices),
doubleBottom: this.detectDoubleBottom(prices),
triangle: this.detectTriangle(prices),
wedge: this.detectWedge(prices),
flag: this.detectFlag(prices),
pennant: this.detectPennant(prices),
cup: this.detectCupAndHandle(prices)
};
// Candlestick Patterns
const candlePatterns = {
hammer: this.detectHammer(prices),
doji: this.detectDoji(prices),
engulfing: this.detectEngulfing(prices),
morningStar: this.detectMorningStar(prices),
eveningStar: this.detectEveningStar(prices),
shootingStar: this.detectShootingStar(prices),
harami: this.detectHarami(prices),
threeWhiteSoldiers: this.detectThreeWhiteSoldiers(prices)
};
// Combine and score patterns
for (const [name, result] of Object.entries(chartPatterns)) {
if (result.detected) {
patterns.push({
type: 'CHART',
name: name.toUpperCase(),
confidence: result.confidence,
direction: result.direction,
target: result.target,
stopLoss: result.stopLoss
});
}
}
for (const [name, result] of Object.entries(candlePatterns)) {
if (result.detected) {
patterns.push({
type: 'CANDLE',
name: name.toUpperCase(),
confidence: result.confidence,
signal: result.signal,
position: result.position
});
}
}
return patterns;
}
detectHeadAndShoulders(prices) {
const highs = prices.map(p => p.high);
const result = { detected: false, confidence: 0, direction: null };
if (highs.length < 50) return result;
// Look for pattern in recent data
const recent = highs.slice(-50);
const peaks = this.findPeaks(recent);
if (peaks.length >= 3) {
const [leftShoulder, head, rightShoulder] = peaks.slice(-3);
// Check if middle peak is highest (head)
if (head.value > leftShoulder.value &&
head.value > rightShoulder.value &&
Math.abs(leftShoulder.value - rightShoulder.value) / leftShoulder.value < 0.03) {
result.detected = true;
result.confidence = 85;
result.direction = 'BEARISH';
result.neckline = Math.min(
...recent.slice(leftShoulder.index, rightShoulder.index + 1)
);
result.target = result.neckline - (head.value - result.neckline);
result.stopLoss = head.value * 1.01;
}
}
return result;
}
async analyzeVolume(data) {
const volumes = data.map(d => d.volume);
const prices = data.map(d => d.close);
return {
average: volumes.reduce((a, b) => a + b) / volumes.length,
trend: this.analyzeVolumeTrend(volumes),
obv: this.calculateOBV(prices, volumes),
adl: this.calculateADL(data),
mfi: this.calculateMFI(data, 14),
vwap: this.calculateVWAP(data),
volumeProfile: this.calculateVolumeProfile(data),
accumulation: this.detectAccumulationDistribution(data),
spikes: this.detectVolumeSpikes(volumes)
};
}
calculateOBV(prices, volumes) {
const obv = [volumes[0]];
for (let i = 1; i < prices.length; i++) {
if (prices[i] > prices[i - 1]) {
obv.push(obv[i - 1] + volumes[i]);
} else if (prices[i] < prices[i - 1]) {
obv.push(obv[i - 1] - volumes[i]);
} else {
obv.push(obv[i - 1]);
}
}
return {
values: obv,
current: obv[obv.length - 1],
trend: this.calculateTrend(obv.slice(-20)),
divergence: this.checkVolumePriceDivergence(prices, obv)
};
}
async generateSignals(data) {
const signals = [];
const analysis = {
trend: await this.identifyTrend(data),
momentum: await this.analyzeMomentum(data),
patterns: await this.detectPatterns(data)
};
// Trend-based signals
if (analysis.trend.overall === 'STRONG_BULLISH') {
signals.push({
type: 'BUY',
strength: 'STRONG',
reason: 'Strong bullish trend confirmed',
confidence: analysis.trend.confidence
});
}
// Momentum signals
if (analysis.momentum.rsi.value < 30) {
signals.push({
type: 'BUY',
strength: 'MEDIUM',
reason: 'RSI oversold condition',
confidence: 70
});
}
// Pattern signals
for (const pattern of analysis.patterns) {
if (pattern.type === 'CHART' && pattern.confidence > 80) {
signals.push({
type: pattern.direction === 'BULLISH' ? 'BUY' : 'SELL',
strength: 'STRONG',
reason: `${pattern.name} pattern detected`,
confidence: pattern.confidence,
target: pattern.target,
stopLoss: pattern.stopLoss
});
}
}
// MACD crossover signals
if (analysis.momentum.macd.crossover === 'BULLISH') {
signals.push({
type: 'BUY',
strength: 'MEDIUM',
reason: 'MACD bullish crossover',
confidence: 65
});
}
return this.prioritizeSignals(signals);
}
prioritizeSignals(signals) {
// Sort by confidence and strength
return signals.sort((a, b) => {
const strengthScore = { STRONG: 3, MEDIUM: 2, WEAK: 1 };
const scoreA = a.confidence * strengthScore[a.strength];
const scoreB = b.confidence * strengthScore[b.strength];
return scoreB - scoreA;
}).slice(0, 5); // Top 5 signals
}
}
```
### 2. Market Structure Analysis
```javascript
class MarketStructureAnalysis {
analyzeStructure(data) {
return {
marketPhase: this.identifyMarketPhase(data),
keyLevels: this.identifyKeyLevels(data),
liquidityZones: this.findLiquidityZones(data),
orderFlow: this.analyzeOrderFlow(data),
marketProfile: this.createMarketProfile(data),
supplyDemand: this.identifySupplyDemandZones(data)
};
}
identifyMarketPhase(data) {
const volatility = this.calculateVolatility(data);
const trend = this.calculateTrendStrength(data);
const volume = this.analyzeVolumeCharacteristics(data);
if (volatility < 0.01 && trend < 25) {
return {
phase: 'ACCUMULATION',
characteristics: 'Low volatility, sideways movement, smart money accumulating',
tradingStrategy: 'Buy at support, sell at resistance'
};
} else if (trend > 40 && volume.trend === 'INCREASING') {
return {
phase: 'MARK_UP',
characteristics: 'Strong trend, increasing volume, institutional buying',
tradingStrategy: 'Trend following, buy dips'
};
} else if (volatility > 0.03 && trend < 25) {
return {
phase: 'DISTRIBUTION',
characteristics: 'High volatility, topping pattern, smart money distributing',
tradingStrategy: 'Take profits, short at resistance'
};
} else if (trend > 40 && volume.trend === 'DECREASING') {
return {
phase: 'MARK_DOWN',
characteristics: 'Downtrend, panic selling, capitulation',
tradingStrategy: 'Stay out or short rallies'
};
} else {
return {
phase: 'TRANSITION',
characteristics: 'Changing market dynamics',
tradingStrategy: 'Wait for confirmation'
};
}
}
identifyKeyLevels(data) {
const levels = [];
const highs = data.map(d => d.high);
const lows = data.map(d => d.low);
const closes = data.map(d => d.close);
// Psychological levels (round numbers)
const currentPrice = closes[closes.length - 1];
const roundLevels = this.findRoundNumbers(currentPrice);
// Historical support/resistance
const historicalLevels = this.findHistoricalLevels(highs, lows, closes);
// Volume-based levels
const volumeLevels = this.findVolumeLevels(data);
// Fibonacci levels
const fibLevels = this.calculateFibonacciLevels(
Math.min(...lows),
Math.max(...highs)
);
return {
psychological: roundLevels,
historical: historicalLevels,
volume: volumeLevels,
fibonacci: fibLevels,
combined: this.combineAndRankLevels([
...roundLevels,
...historicalLevels,
...volumeLevels,
...fibLevels
])
};
}
findLiquidityZones(data) {
const zones = [];
const volumes = data.map(d => d.volume);
const avgVolume = volumes.reduce((a, b) => a + b) / volumes.length;
for (let i = 0; i < data.length - 10; i++) {
const window = data.slice(i, i + 10);
const windowVolume = window.reduce((sum, d) => sum + d.volume, 0);
if (windowVolume > avgVolume * 10 * 1.5) {
const highPrice = Math.max(...window.map(d => d.high));
const lowPrice = Math.min(...window.map(d => d.low));
zones.push({
type: 'HIGH_LIQUIDITY',
upperBound: highPrice,
lowerBound: lowPrice,
volume: windowVolume,
strength: windowVolume / (avgVolume * 10)
});
}
}
return zones;
}
}
```
### 3. Display and Reporting
```javascript
class TrendReport {
generateReport(analysis) {
return `
╔════════════════════════════════════════════════════════════════╗
║ TREND ANALYSIS REPORT ║
╠════════════════════════════════════════════════════════════════╣
║ Symbol: ${analysis.symbol.padEnd(48)} ║
║ Timeframe: ${analysis.timeframe.padEnd(48)} ║
║ Period: ${analysis.period.padEnd(48)} ║
║ Data Points: ${analysis.dataPoints.toString().padEnd(48)} ║
╠════════════════════════════════════════════════════════════════╣
║ TREND ║
╠════════════════════════════════════════════════════════════════╣
║ Direction: ${this.formatTrend(analysis.trend.overall).padEnd(48)} ║
║ Strength: ${analysis.trend.strength.padEnd(48)} ║
║ Duration: ${analysis.trend.duration.padEnd(48)} ║
║ Confidence: ${this.formatPercentage(analysis.trend.confidence).padEnd(48)} ║
╠════════════════════════════════════════════════════════════════╣
║ MOMENTUM ║
╠════════════════════════════════════════════════════════════════╣
║ RSI (14): ${this.formatRSI(analysis.momentum.rsi).padEnd(48)} ║
║ MACD: ${this.formatMACD(analysis.momentum.macd).padEnd(48)} ║
║ Stochastic: ${this.formatStochastic(analysis.momentum.stochastic).padEnd(48)} ║
╠════════════════════════════════════════════════════════════════╣
║ PATTERNS ║
╠════════════════════════════════════════════════════════════════╣
${this.formatPatterns(analysis.patterns)}
╠════════════════════════════════════════════════════════════════╣
║ TOP SIGNALS ║
╠════════════════════════════════════════════════════════════════╣
${this.formatSignals(analysis.signals)}
╠════════════════════════════════════════════════════════════════╣
║ RECOMMENDATIONS ║
╠════════════════════════════════════════════════════════════════╣
${this.formatRecommendations(analysis.recommendations)}
╚════════════════════════════════════════════════════════════════╝
`;
}
formatTrend(trend) {
const icons = {
STRONG_BULLISH: ' Strong Bullish',
BULLISH: ' Bullish',
NEUTRAL: ' Neutral',
BEARISH: ' Bearish',
STRONG_BEARISH: ' Strong Bearish'
};
return icons[trend] || trend;
}
formatPatterns(patterns) {
if (patterns.length === 0) {
return '║ No significant patterns detected ║';
}
return patterns.slice(0, 3).map(p =>
`║ ${p.name.padEnd(20)} Confidence: ${p.confidence}% ${p.direction.padEnd(20)} ║`
).join('\n');
}
formatSignals(signals) {
if (signals.length === 0) {
return '║ No strong signals at this time ║';
}
return signals.slice(0, 3).map(s =>
`║ ${s.type} - ${s.reason.padEnd(35)} [${s.confidence}%] ║`
).join('\n');
}
}
```
## Error Handling
```javascript
try {
const analyzer = new TrendAnalyzer();
const analysis = await analyzer.analyzeTrends({
symbol: 'BTC/USDT',
timeframe: '4h',
period: '30d',
analysisType: 'technical'
});
const report = new TrendReport();
console.log(report.generateReport(analysis));
} catch (error) {
console.error('Trend analysis failed:', error);
}
```
This command provides comprehensive trend analysis with technical indicators, pattern recognition, and actionable trading signals.

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---
description: Track real-time prices across crypto, stocks, forex, and commodities with multi-source feeds
shortcut: tp
---
# Track Market Price
Real-time price tracking system with institutional-grade data feeds from multiple sources for accuracy and reliability.
## Usage
When the user wants to track market prices, implement a comprehensive price monitoring system with these capabilities:
### Required Information
- **Symbol**: Asset ticker (BTC, AAPL, EUR/USD, etc.)
- **Asset Type**: crypto, stock, forex, commodity
- **Interval**: 1s, 5s, 30s, 1m, 5m (real-time streaming)
- **Exchanges**: Specific exchanges or "ALL" for aggregate
- **Alert Conditions**: Price thresholds, percentage changes
- **Duration**: How long to track (continuous or time-limited)
## Implementation
### 1. Multi-Source Price Aggregator
```javascript
class MarketPriceTracker {
constructor() {
this.dataSources = {
crypto: {
binance: 'wss://stream.binance.com:9443/ws',
coinbase: 'wss://ws-feed.exchange.coinbase.com',
kraken: 'wss://ws.kraken.com',
ftx: 'wss://ftx.com/ws/',
coingecko: 'https://api.coingecko.com/api/v3',
messari: 'https://data.messari.io/api/v1'
},
stocks: {
alphaVantage: process.env.ALPHA_VANTAGE_API,
iex: 'https://api.iextrading.com/1.0',
polygon: 'wss://socket.polygon.io',
finnhub: 'wss://ws.finnhub.io',
yahoo: 'https://query1.finance.yahoo.com/v8'
},
forex: {
oanda: 'wss://stream-fxtrade.oanda.com',
forexConnect: 'https://api-fxtrade.oanda.com/v3',
currencyLayer: process.env.CURRENCY_LAYER_API,
exchangeRates: 'https://api.exchangerate.host'
},
commodities: {
quandl: process.env.QUANDL_API,
metalsPrices: 'https://api.metals.live/v1',
oilPrices: 'https://api.oilpriceapi.com/v1'
}
};
this.priceCache = new Map();
this.connections = new Map();
this.aggregationStrategy = 'VWAP'; // Volume Weighted Average Price
}
async trackPrice(params) {
const {
symbol,
assetType,
interval = '1s',
exchanges = 'ALL',
alertConditions = [],
duration = 'continuous'
} = params;
// Validate symbol format
this.validateSymbol(symbol, assetType);
// Initialize tracking
const trackingSession = {
id: crypto.randomUUID(),
symbol,
assetType,
interval,
startTime: Date.now(),
duration,
exchanges: this.selectExchanges(exchanges, assetType),
alerts: this.parseAlertConditions(alertConditions),
priceHistory: [],
statistics: {
high: 0,
low: Infinity,
open: 0,
volume: 0,
vwap: 0,
changes: {
'1m': 0,
'5m': 0,
'15m': 0,
'1h': 0,
'24h': 0
}
}
};
// Start real-time tracking
await this.initializeConnections(trackingSession);
// Begin price aggregation
this.startPriceAggregation(trackingSession);
// Monitor alerts
this.startAlertMonitoring(trackingSession);
return trackingSession;
}
async initializeConnections(session) {
const connections = [];
for (const exchange of session.exchanges) {
try {
const connection = await this.connectToExchange(
exchange,
session.symbol,
session.assetType
);
connections.push({
exchange,
connection,
status: 'connected',
latency: 0,
lastUpdate: null
});
// Subscribe to price updates
this.subscribeToPrice(connection, session);
} catch (error) {
console.error(`Failed to connect to ${exchange}:`, error);
connections.push({
exchange,
status: 'failed',
error: error.message
});
}
}
session.connections = connections;
return connections;
}
async connectToExchange(exchange, symbol, assetType) {
const sourceConfig = this.dataSources[assetType][exchange];
if (sourceConfig.startsWith('wss://')) {
// WebSocket connection
return this.createWebSocketConnection(sourceConfig, symbol, exchange);
} else {
// REST API polling
return this.createPollingConnection(sourceConfig, symbol, exchange);
}
}
createWebSocketConnection(url, symbol, exchange) {
return new Promise((resolve, reject) => {
const ws = new WebSocket(url);
ws.on('open', () => {
// Subscribe to symbol
const subscribeMsg = this.getSubscribeMessage(exchange, symbol);
ws.send(JSON.stringify(subscribeMsg));
resolve(ws);
});
ws.on('error', reject);
ws.on('message', (data) => {
this.handlePriceUpdate(exchange, data);
});
});
}
getSubscribeMessage(exchange, symbol) {
const messages = {
binance: {
method: 'SUBSCRIBE',
params: [`${symbol.toLowerCase()}@trade`, `${symbol.toLowerCase()}@depth`],
id: 1
},
coinbase: {
type: 'subscribe',
product_ids: [symbol],
channels: ['ticker', 'level2']
},
kraken: {
event: 'subscribe',
pair: [symbol],
subscription: { name: 'ticker' }
}
};
return messages[exchange] || {};
}
handlePriceUpdate(exchange, data) {
const parsed = JSON.parse(data);
const price = this.extractPrice(exchange, parsed);
if (price) {
const update = {
exchange,
price: price.price,
volume: price.volume,
timestamp: Date.now(),
bid: price.bid,
ask: price.ask,
spread: price.ask - price.bid
};
// Update cache
if (!this.priceCache.has(exchange)) {
this.priceCache.set(exchange, []);
}
this.priceCache.get(exchange).push(update);
// Trigger aggregation
this.aggregatePrices();
}
}
extractPrice(exchange, data) {
const extractors = {
binance: (d) => ({
price: parseFloat(d.p),
volume: parseFloat(d.q),
bid: parseFloat(d.b),
ask: parseFloat(d.a)
}),
coinbase: (d) => ({
price: parseFloat(d.price),
volume: parseFloat(d.volume_24h),
bid: parseFloat(d.best_bid),
ask: parseFloat(d.best_ask)
}),
kraken: (d) => ({
price: parseFloat(d[1].c[0]),
volume: parseFloat(d[1].v[1]),
bid: parseFloat(d[1].b[0]),
ask: parseFloat(d[1].a[0])
})
};
return extractors[exchange]?.(data);
}
aggregatePrices() {
const allPrices = [];
for (const [exchange, prices] of this.priceCache.entries()) {
if (prices.length > 0) {
const recent = prices.filter(p =>
Date.now() - p.timestamp < 5000 // Last 5 seconds
);
allPrices.push(...recent);
}
}
if (allPrices.length === 0) return null;
// Calculate aggregated price based on strategy
let aggregatedPrice;
switch (this.aggregationStrategy) {
case 'VWAP':
aggregatedPrice = this.calculateVWAP(allPrices);
break;
case 'MEDIAN':
aggregatedPrice = this.calculateMedian(allPrices);
break;
case 'WEIGHTED':
aggregatedPrice = this.calculateWeightedAverage(allPrices);
break;
default:
aggregatedPrice = this.calculateSimpleAverage(allPrices);
}
return {
price: aggregatedPrice,
sources: allPrices.length,
timestamp: Date.now(),
spread: this.calculateSpread(allPrices),
confidence: this.calculateConfidence(allPrices)
};
}
calculateVWAP(prices) {
let totalValue = 0;
let totalVolume = 0;
for (const p of prices) {
totalValue += p.price * p.volume;
totalVolume += p.volume;
}
return totalVolume > 0 ? totalValue / totalVolume : 0;
}
calculateConfidence(prices) {
if (prices.length < 2) return 0;
const values = prices.map(p => p.price);
const mean = values.reduce((a, b) => a + b) / values.length;
const variance = values.reduce((sum, val) =>
sum + Math.pow(val - mean, 2), 0) / values.length;
const stdDev = Math.sqrt(variance);
const coefficientOfVariation = (stdDev / mean) * 100;
// Lower CV means higher confidence
if (coefficientOfVariation < 0.5) return 99;
if (coefficientOfVariation < 1) return 95;
if (coefficientOfVariation < 2) return 90;
if (coefficientOfVariation < 5) return 75;
return 50;
}
startAlertMonitoring(session) {
const checkInterval = this.parseInterval(session.interval);
session.alertMonitor = setInterval(() => {
const currentPrice = this.getCurrentPrice(session.symbol);
if (!currentPrice) return;
for (const alert of session.alerts) {
if (this.checkAlertCondition(alert, currentPrice, session)) {
this.triggerAlert(alert, currentPrice, session);
}
}
}, checkInterval);
}
checkAlertCondition(alert, price, session) {
switch (alert.type) {
case 'PRICE_ABOVE':
return price.price > alert.threshold;
case 'PRICE_BELOW':
return price.price < alert.threshold;
case 'PERCENT_CHANGE':
const changePercent = this.calculatePercentChange(
session.statistics.open,
price.price
);
return Math.abs(changePercent) > alert.threshold;
case 'VOLUME_SPIKE':
return price.volume > session.statistics.avgVolume * alert.multiplier;
case 'SPREAD_WIDE':
return price.spread > alert.threshold;
case 'VOLATILITY':
return this.calculateVolatility(session) > alert.threshold;
default:
return false;
}
}
triggerAlert(alert, price, session) {
const alertData = {
id: crypto.randomUUID(),
type: alert.type,
symbol: session.symbol,
price: price.price,
threshold: alert.threshold,
timestamp: Date.now(),
message: this.formatAlertMessage(alert, price, session),
severity: alert.severity || 'INFO',
action: alert.action || 'NOTIFY'
};
// Send alert through notification channels
this.sendAlert(alertData);
// Log alert
if (!session.triggeredAlerts) {
session.triggeredAlerts = [];
}
session.triggeredAlerts.push(alertData);
// Execute automated actions if configured
if (alert.action === 'AUTO_TRADE') {
this.executeAutomatedAction(alert, price, session);
}
}
}
```
### 2. Price Display Interface
```javascript
class PriceDisplay {
constructor() {
this.displayMode = 'detailed'; // 'simple', 'detailed', 'professional'
this.updateFrequency = 1000; // milliseconds
}
displayPrice(session, aggregatedPrice) {
const display = `
╔════════════════════════════════════════════════════════════════╗
║ REAL-TIME PRICE TRACKER ║
╠════════════════════════════════════════════════════════════════╣
║ Symbol: ${session.symbol.padEnd(48)} ║
║ Asset Type: ${session.assetType.padEnd(48)} ║
║ Current Price: ${this.formatPrice(aggregatedPrice.price).padEnd(48)} ║
║ Confidence: ${this.formatConfidence(aggregatedPrice.confidence).padEnd(48)} ║
╠════════════════════════════════════════════════════════════════╣
║ PRICE METRICS ║
╠════════════════════════════════════════════════════════════════╣
║ 24H High: ${this.formatPrice(session.statistics.high).padEnd(48)} ║
║ 24H Low: ${this.formatPrice(session.statistics.low).padEnd(48)} ║
║ 24H Change: ${this.formatChange(session.statistics.changes['24h']).padEnd(48)} ║
║ Volume: ${this.formatVolume(session.statistics.volume).padEnd(48)} ║
║ VWAP: ${this.formatPrice(session.statistics.vwap).padEnd(48)} ║
╠════════════════════════════════════════════════════════════════╣
║ EXCHANGE PRICES ║
╠════════════════════════════════════════════════════════════════╣
${this.formatExchangePrices(session)}
╠════════════════════════════════════════════════════════════════╣
║ ALERTS ║
╠════════════════════════════════════════════════════════════════╣
${this.formatAlerts(session)}
╚════════════════════════════════════════════════════════════════╝
`;
return display;
}
formatExchangePrices(session) {
const lines = [];
for (const conn of session.connections) {
if (conn.status === 'connected' && conn.lastPrice) {
lines.push(`║ ${conn.exchange.padEnd(15)} ${this.formatPrice(conn.lastPrice).padEnd(15)} ${this.formatLatency(conn.latency).padEnd(26)} ║`);
}
}
return lines.join('\n');
}
formatAlerts(session) {
if (!session.alerts || session.alerts.length === 0) {
return '║ No active alerts ║';
}
const lines = [];
for (const alert of session.alerts) {
const status = alert.triggered ? '' : '⏳';
lines.push(`║ ${status} ${alert.type}: ${alert.threshold} ║`);
}
return lines.join('\n');
}
formatPrice(price) {
if (price > 1000) {
return `$${price.toLocaleString('en-US', { minimumFractionDigits: 2, maximumFractionDigits: 2 })}`;
} else if (price > 1) {
return `$${price.toFixed(4)}`;
} else {
return `$${price.toFixed(8)}`;
}
}
formatConfidence(confidence) {
const bars = '█'.repeat(Math.floor(confidence / 10));
const empty = '░'.repeat(10 - Math.floor(confidence / 10));
return `${bars}${empty} ${confidence}%`;
}
}
```
### 3. Advanced Analytics
```javascript
class PriceAnalytics {
constructor() {
this.indicators = {};
this.patterns = [];
}
analyzePrice(priceHistory) {
return {
technicalIndicators: this.calculateTechnicalIndicators(priceHistory),
pricePatterns: this.detectPatterns(priceHistory),
supportResistance: this.findSupportResistance(priceHistory),
volatility: this.analyzeVolatility(priceHistory),
momentum: this.analyzeMomentum(priceHistory),
marketStructure: this.analyzeMarketStructure(priceHistory)
};
}
calculateTechnicalIndicators(prices) {
return {
sma: {
sma20: this.calculateSMA(prices, 20),
sma50: this.calculateSMA(prices, 50),
sma200: this.calculateSMA(prices, 200)
},
ema: {
ema12: this.calculateEMA(prices, 12),
ema26: this.calculateEMA(prices, 26)
},
rsi: this.calculateRSI(prices, 14),
macd: this.calculateMACD(prices),
bollingerBands: this.calculateBollingerBands(prices, 20, 2),
atr: this.calculateATR(prices, 14),
obv: this.calculateOBV(prices),
vwap: this.calculateDailyVWAP(prices)
};
}
detectPatterns(prices) {
const patterns = [];
// Head and Shoulders
if (this.detectHeadAndShoulders(prices)) {
patterns.push({
type: 'HEAD_AND_SHOULDERS',
direction: 'BEARISH',
confidence: 85
});
}
// Double Top/Bottom
const doublePattern = this.detectDoubleTopBottom(prices);
if (doublePattern) {
patterns.push(doublePattern);
}
// Triangle Patterns
const triangle = this.detectTriangle(prices);
if (triangle) {
patterns.push(triangle);
}
// Flag/Pennant
const flagPattern = this.detectFlagPennant(prices);
if (flagPattern) {
patterns.push(flagPattern);
}
return patterns;
}
findSupportResistance(prices) {
const levels = [];
const priceValues = prices.map(p => p.price);
// Find local maxima and minima
for (let i = 2; i < priceValues.length - 2; i++) {
// Resistance (local maximum)
if (priceValues[i] > priceValues[i-1] &&
priceValues[i] > priceValues[i-2] &&
priceValues[i] > priceValues[i+1] &&
priceValues[i] > priceValues[i+2]) {
levels.push({
type: 'RESISTANCE',
price: priceValues[i],
strength: this.calculateLevelStrength(prices, priceValues[i]),
touches: this.countTouches(prices, priceValues[i])
});
}
// Support (local minimum)
if (priceValues[i] < priceValues[i-1] &&
priceValues[i] < priceValues[i-2] &&
priceValues[i] < priceValues[i+1] &&
priceValues[i] < priceValues[i+2]) {
levels.push({
type: 'SUPPORT',
price: priceValues[i],
strength: this.calculateLevelStrength(prices, priceValues[i]),
touches: this.countTouches(prices, priceValues[i])
});
}
}
// Cluster similar levels
return this.clusterLevels(levels);
}
}
```
### 4. Alert Configuration
```javascript
class AlertConfiguration {
parseAlertConditions(conditions) {
const parsed = [];
for (const condition of conditions) {
if (typeof condition === 'string') {
// Parse string format: "above 50000", "below 45000", "change 5%"
const match = condition.match(/(\w+)\s+([0-9.]+)(%)?/);
if (match) {
parsed.push(this.createAlert(match[1], parseFloat(match[2]), match[3] === '%'));
}
} else {
// Object format already
parsed.push(condition);
}
}
return parsed;
}
createAlert(type, value, isPercent) {
const alertTypes = {
'above': 'PRICE_ABOVE',
'below': 'PRICE_BELOW',
'change': 'PERCENT_CHANGE',
'volume': 'VOLUME_SPIKE',
'spread': 'SPREAD_WIDE',
'volatility': 'VOLATILITY'
};
return {
type: alertTypes[type] || 'CUSTOM',
threshold: value,
isPercent,
enabled: true,
cooldown: 300000, // 5 minutes between repeat alerts
lastTriggered: 0
};
}
}
```
### 5. WebSocket Manager
```javascript
class WebSocketManager {
constructor() {
this.connections = new Map();
this.reconnectAttempts = new Map();
this.maxReconnectAttempts = 5;
this.reconnectDelay = 1000;
}
async manage(url, handlers) {
const ws = new WebSocket(url);
const connectionId = crypto.randomUUID();
ws.on('open', () => {
console.log(`WebSocket connected: ${url}`);
this.connections.set(connectionId, ws);
this.reconnectAttempts.set(connectionId, 0);
handlers.onOpen?.(ws);
});
ws.on('message', (data) => {
handlers.onMessage?.(data);
});
ws.on('error', (error) => {
console.error(`WebSocket error: ${url}`, error);
handlers.onError?.(error);
});
ws.on('close', () => {
console.log(`WebSocket closed: ${url}`);
this.connections.delete(connectionId);
this.attemptReconnect(url, handlers, connectionId);
});
return connectionId;
}
attemptReconnect(url, handlers, connectionId) {
const attempts = this.reconnectAttempts.get(connectionId) || 0;
if (attempts < this.maxReconnectAttempts) {
const delay = this.reconnectDelay * Math.pow(2, attempts);
console.log(`Reconnecting in ${delay}ms... (attempt ${attempts + 1})`);
setTimeout(() => {
this.reconnectAttempts.set(connectionId, attempts + 1);
this.manage(url, handlers);
}, delay);
} else {
console.error(`Max reconnection attempts reached for ${url}`);
handlers.onMaxReconnectFailed?.();
}
}
}
```
## Error Handling
```javascript
try {
const tracker = new MarketPriceTracker();
const session = await tracker.trackPrice({
symbol: 'BTC/USDT',
assetType: 'crypto',
interval: '1s',
exchanges: ['binance', 'coinbase', 'kraken'],
alertConditions: [
'above 50000',
'below 45000',
'change 5%',
'volume 2x'
],
duration: '24h'
});
// Display real-time updates
const display = new PriceDisplay();
setInterval(async () => {
const price = tracker.getCurrentPrice(session.symbol);
console.clear();
console.log(display.displayPrice(session, price));
}, 1000);
} catch (error) {
console.error('Price tracking failed:', error);
process.exit(1);
}
```
This command provides institutional-grade real-time price tracking with multi-exchange aggregation, advanced alerts, and comprehensive analytics.

89
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# Assets
Bundled resources for market-price-tracker skill
- [ ] alert_templates.json: JSON templates for different types of price alerts (e.g., price above threshold, percentage change).
- [ ] example_data.json: Example data structures for real-time price feeds and technical analysis results.
- [ ] config_template.json: Configuration template for setting up data sources, API keys, and alert preferences.

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{
"skill": {
"name": "skill-name",
"version": "1.0.0",
"enabled": true,
"settings": {
"verbose": false,
"autoActivate": true,
"toolRestrictions": true
}
},
"triggers": {
"keywords": [
"example-trigger-1",
"example-trigger-2"
],
"patterns": []
},
"tools": {
"allowed": [
"Read",
"Grep",
"Bash"
],
"restricted": []
},
"metadata": {
"author": "Plugin Author",
"category": "general",
"tags": []
}
}

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{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "Claude Skill Configuration",
"type": "object",
"required": ["name", "description"],
"properties": {
"name": {
"type": "string",
"pattern": "^[a-z0-9-]+$",
"maxLength": 64,
"description": "Skill identifier (lowercase, hyphens only)"
},
"description": {
"type": "string",
"maxLength": 1024,
"description": "What the skill does and when to use it"
},
"allowed-tools": {
"type": "string",
"description": "Comma-separated list of allowed tools"
},
"version": {
"type": "string",
"pattern": "^\\d+\\.\\d+\\.\\d+$",
"description": "Semantic version (x.y.z)"
}
}
}

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{
"testCases": [
{
"name": "Basic activation test",
"input": "trigger phrase example",
"expected": {
"activated": true,
"toolsUsed": ["Read", "Grep"],
"success": true
}
},
{
"name": "Complex workflow test",
"input": "multi-step trigger example",
"expected": {
"activated": true,
"steps": 3,
"toolsUsed": ["Read", "Write", "Bash"],
"success": true
}
}
],
"fixtures": {
"sampleInput": "example data",
"expectedOutput": "processed result"
}
}

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# References
Bundled resources for market-price-tracker skill
- [ ] crypto_exchanges_api.md: API documentation for various crypto exchanges like Binance, Coinbase, Kraken.
- [ ] stock_data_api.md: API documentation for stock data providers like Alpha Vantage, IEX Cloud, Polygon.io.
- [ ] forex_feeds_api.md: API documentation for forex data feeds like OANDA, Forex Connect, Currency Layer.
- [ ] technical_indicators.md: Detailed explanations and formulas for technical indicators like RSI, MACD, Bollinger Bands.

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# Skill Best Practices
Guidelines for optimal skill usage and development.
## For Users
### Activation Best Practices
1. **Use Clear Trigger Phrases**
- Match phrases from skill description
- Be specific about intent
- Provide necessary context
2. **Provide Sufficient Context**
- Include relevant file paths
- Specify scope of analysis
- Mention any constraints
3. **Understand Tool Permissions**
- Check allowed-tools in frontmatter
- Know what the skill can/cannot do
- Request appropriate actions
### Workflow Optimization
- Start with simple requests
- Build up to complex workflows
- Verify each step before proceeding
- Use skill consistently for related tasks
## For Developers
### Skill Development Guidelines
1. **Clear Descriptions**
- Include explicit trigger phrases
- Document all capabilities
- Specify limitations
2. **Proper Tool Permissions**
- Use minimal necessary tools
- Document security implications
- Test with restricted tools
3. **Comprehensive Documentation**
- Provide usage examples
- Document common pitfalls
- Include troubleshooting guide
### Maintenance
- Keep version updated
- Test after tool updates
- Monitor user feedback
- Iterate on descriptions
## Performance Tips
- Scope skills to specific domains
- Avoid overlapping trigger phrases
- Keep descriptions under 1024 chars
- Test activation reliability
## Security Considerations
- Never include secrets in skill files
- Validate all inputs
- Use read-only tools when possible
- Document security requirements

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# Skill Usage Examples
This document provides practical examples of how to use this skill effectively.
## Basic Usage
### Example 1: Simple Activation
**User Request:**
```
[Describe trigger phrase here]
```
**Skill Response:**
1. Analyzes the request
2. Performs the required action
3. Returns results
### Example 2: Complex Workflow
**User Request:**
```
[Describe complex scenario]
```
**Workflow:**
1. Step 1: Initial analysis
2. Step 2: Data processing
3. Step 3: Result generation
4. Step 4: Validation
## Advanced Patterns
### Pattern 1: Chaining Operations
Combine this skill with other tools:
```
Step 1: Use this skill for [purpose]
Step 2: Chain with [other tool]
Step 3: Finalize with [action]
```
### Pattern 2: Error Handling
If issues occur:
- Check trigger phrase matches
- Verify context is available
- Review allowed-tools permissions
## Tips & Best Practices
- ✅ Be specific with trigger phrases
- ✅ Provide necessary context
- ✅ Check tool permissions match needs
- ❌ Avoid vague requests
- ❌ Don't mix unrelated tasks
## Common Issues
**Issue:** Skill doesn't activate
**Solution:** Use exact trigger phrases from description
**Issue:** Unexpected results
**Solution:** Check input format and context
## See Also
- Main SKILL.md for full documentation
- scripts/ for automation helpers
- assets/ for configuration examples

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# Scripts
Bundled resources for market-price-tracker skill
- [ ] price_tracker.py: Script to track prices of crypto, stocks, forex, commodities using WebSocket connections and data aggregation.
- [ ] alert_manager.py: Script to manage price alerts based on user-defined conditions and send notifications.
- [ ] technical_analysis.py: Script to calculate technical indicators like RSI, MACD, and moving averages.

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#!/bin/bash
# Helper script template for skill automation
# Customize this for your skill's specific needs
set -e
function show_usage() {
echo "Usage: $0 [options]"
echo ""
echo "Options:"
echo " -h, --help Show this help message"
echo " -v, --verbose Enable verbose output"
echo ""
}
# Parse arguments
VERBOSE=false
while [[ $# -gt 0 ]]; do
case $1 in
-h|--help)
show_usage
exit 0
;;
-v|--verbose)
VERBOSE=true
shift
;;
*)
echo "Unknown option: $1"
show_usage
exit 1
;;
esac
done
# Your skill logic here
if [ "$VERBOSE" = true ]; then
echo "Running skill automation..."
fi
echo "✅ Complete"

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#!/bin/bash
# Skill validation helper
# Validates skill activation and functionality
set -e
echo "🔍 Validating skill..."
# Check if SKILL.md exists
if [ ! -f "../SKILL.md" ]; then
echo "❌ Error: SKILL.md not found"
exit 1
fi
# Validate frontmatter
if ! grep -q "^---$" "../SKILL.md"; then
echo "❌ Error: No frontmatter found"
exit 1
fi
# Check required fields
if ! grep -q "^name:" "../SKILL.md"; then
echo "❌ Error: Missing 'name' field"
exit 1
fi
if ! grep -q "^description:" "../SKILL.md"; then
echo "❌ Error: Missing 'description' field"
exit 1
fi
echo "✅ Skill validation passed"