Use Case

Copy Trading Platform

Multi-symbol monitoring, signal generation from indicator conditions, strategy performance validation, and market screening — the data backbone for your copy trading service.

The Challenge

Copy trading platforms need to monitor dozens of symbols simultaneously, generate signals when specific indicator conditions align, validate that signal providers are using sound technical analysis, and display real-time market context to subscribers. You need a data layer that handles multi-symbol queries efficiently, provides pre-calculated indicators for quick signal generation, and can screen the entire market for trade opportunities.

How TickAtlas Solves It

Multi-Symbol Monitoring

/v1/multi fetches indicators for 10+ symbols in one request. Monitor your entire signal watchlist efficiently.

Signal Generation

/v1/screener finds all pairs matching your signal criteria: RSI crossover, MACD histogram flip, BB breakout. One call, all matches.

Strategy Validation

Historical OHLCV and indicator data via /v1/ohlcv. Backtest signal provider strategies against real market conditions.

Subscriber Dashboard Data

/v1/summary provides AI market context. Show subscribers why a signal was generated with supporting analysis.

Key Endpoints

GET /v1/multi?symbols=EURUSD,GBPUSD,...&indicators=rsi,macd

Batch monitoring of entire signal watchlist

GET /v1/screener?filter=rsi_below_30&timeframe=H4

Market-wide scan for signal generation triggers

GET /v1/summary?symbol=EURUSD

AI analysis to accompany signals with market context

GET /v1/ohlcv?symbol=EURUSD&timeframe=H4&bars=200

Historical data for backtesting signal accuracy

Copy Trading Architecture

architecture

┌─────────────────────────────────────────────────────────┐
│              Copy Trading Platform                       │
│                                                         │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐   │
│  │ Signal Engine │  │ Backtest     │  │ Subscriber   │   │
│  │ /v1/screener  │  │ /v1/ohlcv    │  │ Dashboard    │   │
│  │ /v1/multi     │  │ Historical   │  │ /v1/summary  │   │
│  └──────┬───────┘  └──────────────┘  └──────────────┘   │
│         │                                               │
│         ▼                                               │
│  ┌──────────────────────────┐                           │
│  │ Signal: BUY EURUSD       │                           │
│  │ RSI: 28 (Oversold)       │──────▶ Push to           │
│  │ MACD: Bullish crossover  │       subscribers        │
│  │ AI: Bullish (82%)        │       (Telegram,         │
│  └──────────────────────────┘        app, email)       │
│                                                         │
│                    TickAtlas API                     │
└─────────────────────────────────────────────────────────┘

Code Example

python

import requests

API_KEY = "your_api_key"
BASE = "https://tickatlas.com/v1"
headers = {"X-API-Key": API_KEY}

def generate_signals():
    """Scan market for copy trading signals."""

    # Scan for oversold conditions across all symbols
    screener = requests.get(f"{BASE}/screener", headers=headers,
        params={"filter": "rsi_below_30", "timeframe": "H4"}).json()

    signals = []
    for match in screener["data"]["matches"]:
        symbol = match["symbol"]

        # Confirm with multi-indicator check
        multi = requests.get(f"{BASE}/multi", headers=headers,
            params={
                "symbols": symbol,
                "indicators": "rsi,macd,bollinger-bands",
                "timeframe": "H4"
            }).json()

        indicators = multi["data"][symbol]

        # Require confluence: RSI oversold + MACD bullish crossover
        if (indicators["rsi"]["value"] < 30 and
            indicators["macd"]["histogram"] > indicators["macd"].get("prev_histogram", 0)):

            # Get AI summary for signal context
            summary = requests.get(f"{BASE}/summary", headers=headers,
                params={"symbol": symbol}).json()

            signals.append({
                "symbol": symbol,
                "direction": "BUY",
                "rsi": indicators["rsi"]["value"],
                "macd_hist": indicators["macd"]["histogram"],
                "ai_bias": summary["data"]["bias"],
                "ai_confidence": summary["data"]["confidence"],
                "context": summary["data"]["summary"]
            })

    return signals

# Generate and distribute signals
for signal in generate_signals():
    print(f"SIGNAL: {signal['direction']} {signal['symbol']}")
    print(f"  RSI: {signal['rsi']:.1f}, AI: {signal['ai_bias']} ({signal['ai_confidence']}%)")
    # Push to subscribers via your notification system...

Recommended Plan

Pro Plan

$79/mo

Copy trading requires frequent market scans and multi-symbol queries. Pro provides 100,000 requests/day, AI insights for signal context, and 10 API keys for service separation.

✓ /v1/screener for market-wide signal scanning
✓ /v1/summary for AI-backed signal explanations
✓ 10 API keys (signal engine, dashboard, backtest)

View all plans →

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