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How to Integrate AmpFi Strategy API with Trading Automation Platforms: CryptoHopper, 3Commas, Pionex, Bitsgap, TradingView Guide 2025

Learn how to integrate AmpFi's institutional-grade trading predictions with popular trading automation platforms including CryptoHopper, 3Commas, Pionex, Bitsgap, and TradingView. This comprehensive guide provides step-by-step instructions, complete code examples, and best practices for building webhook bridge services.

Table of Contents

Understanding API-to-Webhook Integration

The AmpFi Strategy API provides programmatic access to institutional-grade trading predictions, but most trading automation platforms (CryptoHopper, 3Commas, Pionex, Bitsgap, TradingView) expect signals in their own webhook formats. This is where a bridge service comes in.

How It Works

The integration follows a simple flow:

  1. AmpFi API provides predictions with confidence scores, entry prices, targets, and stop losses
  2. Bridge Service (your custom code) fetches predictions and transforms them into platform-specific formats
  3. Webhook sends the transformed signal to your trading platform
  4. Trading Platform (CryptoHopper, 3Commas, etc.) executes trades based on the signal

Benefits of API Integration

Institutional-Grade Signals

Access the same $50M institutional infrastructure used by hedge funds and professional traders through a simple REST API.

Confidence Scoring

Each prediction includes confidence scores and validation metrics, allowing you to filter signals and adjust position sizing based on prediction quality.

Multi-Timeframe Analysis

Get predictions across multiple timeframes (1h, 4h, daily) with price targets, support, and resistance levels for comprehensive market analysis.

Staleness Detection

Built-in staleness detection ensures you know when predictions may need updating, helping you avoid trading on outdated signals.

Prerequisites and Setup

Before you begin integrating the AmpFi Strategy API with trading platforms like CryptoHopper, 3Commas, Pionex, Bitsgap, or TradingView, ensure you have the following:

1

Expert Plan Subscription

API access requires an Expert plan subscription. This provides unlimited API access and priority support.

2

API Token

Generate your bearer token by logging into https://winu.ampfi.app, navigating to Settings → API Credentials, and clicking "Generate Token". See our API documentation for detailed instructions.

3

Technical Skills

Basic programming knowledge (Node.js or Python) and understanding of webhooks, REST APIs, and HTTP requests. Familiarity with your chosen trading platform's webhook format is helpful.

4

Trading Platform Account

An active account with at least one of the supported platforms: CryptoHopper, 3Commas, Pionex, Bitsgap, or TradingView. Each platform has its own setup requirements for receiving webhook signals.

Note: Always test your integration in sandbox or paper trading environments before using real funds. Webhook integrations can execute trades automatically, so thorough testing is essential.

Integration Architecture Overview

The bridge service is the core component that connects the AmpFi Strategy API to your trading platform. It acts as a translator, converting AmpFi's prediction format into the webhook format expected by platforms like CryptoHopper, 3Commas, Pionex, Bitsgap, or TradingView.

Data Flow

1

Fetch from AmpFi API

Bridge service makes GET request to https://rose.ampfi.app/api/v1/public/strategy/:symbol with Bearer token authentication

2

Transform Response

Extract relevant fields (signal, entry_price, target_price, stop_loss, confidence) and map to platform-specific format

3

Send Webhook

POST transformed payload to trading platform's webhook endpoint

4

Platform Executes

Trading platform receives signal and executes trade according to its configuration

Generic Bridge Service Structure

Here's a high-level overview of what your bridge service needs to do:

text
// Generic Bridge Service Flow (Pseudocode)
 
1. Initialize service with configuration:
   - AmpFi API base URL: https://rose.ampfi.app
   - API Bearer Token (from environment variable)
   - Trading platform webhook URL (from environment variable)
   - Platform-specific transformer function
 
2. For each trading pair you want to monitor:
   a. Fetch strategy from AmpFi API
   b. Check if signal is valid (not stale, confidence threshold met)
   c. Transform API response to platform format
   d. Send webhook to trading platform
   e. Log result and handle errors
 
3. Implement error handling:
   - Retry logic for API failures
   - Rate limiting compliance
   - Webhook delivery failures
   - Staleness detection

Tip: Create reusable transformer functions for each platform. This allows you to easily add support for multiple platforms or switch between them without rewriting core logic.

CryptoHopper Integration Guide

CryptoHopper is a popular trading bot platform that supports custom signals via webhooks. This section shows you how to integrate AmpFi Strategy API predictions with CryptoHopper.

Understanding CryptoHopper Signal Format

CryptoHopper expects webhook signals in JSON format with the following structure:

json
{
  "pair": "BTC_USDT",
  "action": "buy",
  "price": 45000.50,
  "amount": 0.001,
  "stop_loss": 43000.00,
  "take_profit": 48000.00
}

Creating the Bridge Service

Here's a complete Node.js bridge service example for CryptoHopper:

javascript
// cryptohopper-bridge.js
const axios = require('axios');
 
const AMPFI_API_BASE = 'https://rose.ampfi.app/api/v1/public/strategy';
const CRYPTOHOPPER_WEBHOOK_URL = process.env.CRYPTOHOPPER_WEBHOOK_URL;
const AMPFI_API_TOKEN = process.env.AMPFI_API_TOKEN;
 
async function fetchAmpFiStrategy(symbol) {
  try {
    const response = await axios.get(`${AMPFI_API_BASE}/${symbol}`, {
      headers: {
        'Authorization': `Bearer ${AMPFI_API_TOKEN}`
      }
    });
    return response.data;
  } catch (error) {
    console.error(`Error fetching strategy for ${symbol}:`, error.message);
    throw error;
  }
}
 
function transformToCryptoHopper(ampFiResponse) {
  const { strategy } = ampFiResponse;
  
  // Only send signals if not stale and confidence meets threshold
  if (strategy.staleness?.is_stale || strategy.confidence < 0.6) {
    return null; // Don't send low-confidence or stale signals
  }
 
  // Map signal: 'buy' or 'sell' from AmpFi to CryptoHopper action
  const action = strategy.signal === 'buy' ? 'buy' : 
                 strategy.signal === 'sell' ? 'sell' : null;
  
  if (!action) {
    return null; // 'wait' signals are not sent
  }
 
  // Format pair: AmpFi uses 'BTCUSDT', CryptoHopper expects 'BTC_USDT'
  const pair = ampFiResponse.symbol.replace(/([A-Z]+)(USDT|USD)/, '$1_$2');
 
  return {
    pair: pair,
    action: action,
    price: strategy.entry_price || strategy.reference_prices?.current_price,
    amount: 0.001, // Adjust based on your position sizing logic
    stop_loss: strategy.stop_loss,
    take_profit: strategy.target_price
  };
}
 
async function sendToCryptoHopper(payload) {
  try {
    const response = await axios.post(CRYPTOHOPPER_WEBHOOK_URL, payload, {
      headers: {
        'Content-Type': 'application/json'
      }
    });
    console.log('Signal sent to CryptoHopper:', response.status);
    return response.data;
  } catch (error) {
    console.error('Error sending to CryptoHopper:', error.message);
    throw error;
  }
}
 
async function processSymbol(symbol) {
  try {
    const ampFiResponse = await fetchAmpFiStrategy(symbol);
    const cryptoHopperPayload = transformToCryptoHopper(ampFiResponse);
    
    if (cryptoHopperPayload) {
      await sendToCryptoHopper(cryptoHopperPayload);
      console.log(`Successfully processed ${symbol}`);
    } else {
      console.log(`Skipping ${symbol} - no valid signal`);
    }
  } catch (error) {
    console.error(`Failed to process ${symbol}:`, error);
  }
}
 
// Example usage
// processSymbol('BTCUSDT');

Webhook Configuration

In your CryptoHopper dashboard:

  1. Navigate to Settings → Signals
  2. Enable "Custom Signals"
  3. Copy your webhook URL
  4. Set it as the CRYPTOHOPPER_WEBHOOK_URL environment variable

Security Note: Never commit your API tokens or webhook URLs to version control. Always use environment variables.

For more details on CryptoHopper webhook configuration, refer to the official CryptoHopper documentation.

3Commas Integration Guide

3Commas uses Signal Bots that can receive webhook signals. This guide shows you how to integrate AmpFi Strategy API with 3Commas Signal Bots.

Understanding 3Commas Signal Bot Format

3Commas Signal Bots expect webhook payloads in this format:

json
{
  "message_type": "bot",
  "bot_id": 123456,
  "email_token": "your-email-token",
  "delay_seconds": 0,
  "action": "buy",
  "pair": "BTC_USDT",
  "price": 45000.50,
  "volume": 0.001,
  "stop_loss_price": 43000.00,
  "take_profit_price": 48000.00
}

Bridge Service Implementation

Here's a Python bridge service example for 3Commas:

python
# 3commas_bridge.py
import os
import requests
import time
from typing import Optional, Dict
 
AMPFI_API_BASE = "https://rose.ampfi.app/api/v1/public/strategy"
AMPFI_API_TOKEN = os.getenv("AMPFI_API_TOKEN")
THREECOMMAS_BOT_ID = os.getenv("THREECOMMAS_BOT_ID")
THREECOMMAS_EMAIL_TOKEN = os.getenv("THREECOMMAS_EMAIL_TOKEN")
 
def fetch_ampfi_strategy(symbol: str) -> Optional[Dict]:
    """Fetch strategy from AmpFi API"""
    try:
        headers = {
            "Authorization": f"Bearer {AMPFI_API_TOKEN}"
        }
        response = requests.get(
            f"{AMPFI_API_BASE}/{symbol}",
            headers=headers,
            timeout=10
        )
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"Error fetching strategy for {symbol}: {e}")
        return None
 
def transform_to_3commas(ampfi_response: Dict) -> Optional[Dict]:
    """Transform AmpFi response to 3Commas format"""
    strategy = ampfi_response.get("strategy", {})
    
    # Check staleness and confidence
    if strategy.get("staleness", {}).get("is_stale", False):
        return None
    
    confidence = strategy.get("confidence", 0)
    if confidence < 0.6:  # Minimum confidence threshold
        return None
    
    signal = strategy.get("signal")
    if signal not in ["buy", "sell"]:
        return None  # Skip 'wait' signals
    
    # Format pair: BTCUSDT -> BTC_USDT
    symbol = ampfi_response.get("symbol", "")
    pair = symbol.replace("USDT", "_USDT").replace("USD", "_USD")
    
    return {
        "message_type": "bot",
        "bot_id": int(THREECOMMAS_BOT_ID),
        "email_token": THREECOMMAS_EMAIL_TOKEN,
        "delay_seconds": 0,
        "action": signal,
        "pair": pair,
        "price": strategy.get("entry_price") or strategy.get("reference_prices", {}).get("current_price"),
        "volume": 0.001,  # Adjust based on your position sizing
        "stop_loss_price": strategy.get("stop_loss"),
        "take_profit_price": strategy.get("target_price")
    }
 
def send_to_3commas(payload: Dict) -> bool:
    """Send signal to 3Commas webhook"""
    webhook_url = f"https://3commas.io/trade_signal/trading_view"
    try:
        response = requests.post(
            webhook_url,
            json=payload,
            headers={"Content-Type": "application/json"},
            timeout=10
        )
        response.raise_for_status()
        print(f"Signal sent to 3Commas: {response.status_code}")
        return True
    except requests.exceptions.RequestException as e:
        print(f"Error sending to 3Commas: {e}")
        return False
 
def process_symbol(symbol: str):
    """Process a single trading pair"""
    ampfi_response = fetch_ampfi_strategy(symbol)
    if not ampfi_response:
        return
    
    payload = transform_to_3commas(ampfi_response)
    if payload:
        send_to_3commas(payload)
    else:
        print(f"Skipping {symbol} - no valid signal")
 
# Example usage
if __name__ == "__main__":
    process_symbol("BTCUSDT")

Setting Up Signal Bot

In your 3Commas account:

  1. Create a new Signal Bot or use an existing one
  2. Note your Bot ID from the bot settings
  3. Generate an email token in your 3Commas account settings
  4. Set environment variables: THREECOMMAS_BOT_ID and THREECOMMAS_EMAIL_TOKEN

Tip: 3Commas supports different signal types (buy, sell, close). You can extend the transformer to handle position closing signals based on your strategy logic.

For more details on 3Commas Signal Bots, refer to the official 3Commas documentation.

Pionex Integration Guide

Pionex offers Signal Bots that can receive external trading signals via webhooks. This section covers integrating AmpFi Strategy API with Pionex.

Pionex Signal Bot Setup

Pionex Signal Bots expect webhook payloads in this format:

json
{
  "symbol": "BTC_USDT",
  "side": "BUY",
  "price": 45000.50,
  "quantity": 0.001,
  "stopLoss": 43000.00,
  "takeProfit": 48000.00
}

Bridge Service for Pionex

javascript
// pionex-bridge.js
const axios = require('axios');
 
const AMPFI_API_BASE = 'https://rose.ampfi.app/api/v1/public/strategy';
const PIONEX_WEBHOOK_URL = process.env.PIONEX_WEBHOOK_URL;
const AMPFI_API_TOKEN = process.env.AMPFI_API_TOKEN;
 
function transformToPionex(ampFiResponse) {
  const { strategy } = ampFiResponse;
  
  if (strategy.staleness?.is_stale || strategy.confidence < 0.6) {
    return null;
  }
 
  const side = strategy.signal === 'buy' ? 'BUY' : 
               strategy.signal === 'sell' ? 'SELL' : null;
  
  if (!side) return null;
 
  const symbol = ampFiResponse.symbol.replace(/([A-Z]+)(USDT|USD)/, '$1_$2');
 
  return {
    symbol: symbol,
    side: side,
    price: strategy.entry_price || strategy.reference_prices?.current_price,
    quantity: 0.001,
    stopLoss: strategy.stop_loss,
    takeProfit: strategy.target_price
  };
}
 
async function sendToPionex(payload) {
  try {
    await axios.post(PIONEX_WEBHOOK_URL, payload, {
      headers: { 'Content-Type': 'application/json' }
    });
    console.log('Signal sent to Pionex');
  } catch (error) {
    console.error('Error sending to Pionex:', error.message);
    throw error;
  }
}
 
// Usage: Similar to CryptoHopper example
// Fetch from AmpFi → Transform → Send to Pionex

For more details on Pionex Signal Bots, refer to the official Pionex documentation.

Bitsgap Integration Guide

Bitsgap supports custom signals through its API. This section shows how to integrate AmpFi Strategy API with Bitsgap.

Bitsgap API Integration

Bitsgap uses a REST API for signal submission. The format is:

json
{
  "pair": "BTC_USDT",
  "action": "buy",
  "price": 45000.50,
  "amount": 0.001,
  "stop_loss": 43000.00,
  "take_profit": 48000.00
}

Custom Signal Implementation

javascript
// bitsgap-bridge.js
const axios = require('axios');
 
const AMPFI_API_BASE = 'https://rose.ampfi.app/api/v1/public/strategy';
const BITSGAP_API_KEY = process.env.BITSGAP_API_KEY;
const BITSGAP_API_SECRET = process.env.BITSGAP_API_SECRET;
const AMPFI_API_TOKEN = process.env.AMPFI_API_TOKEN;
 
function transformToBitsgap(ampFiResponse) {
  const { strategy } = ampFiResponse;
  
  if (strategy.staleness?.is_stale || strategy.confidence < 0.6) {
    return null;
  }
 
  const action = strategy.signal;
  if (action === 'wait') return null;
 
  const pair = ampFiResponse.symbol.replace(/([A-Z]+)(USDT|USD)/, '$1_$2');
 
  return {
    pair: pair,
    action: action,
    price: strategy.entry_price || strategy.reference_prices?.current_price,
    amount: 0.001,
    stop_loss: strategy.stop_loss,
    take_profit: strategy.target_price
  };
}
 
async function sendToBitsgap(payload) {
  // Bitsgap requires API authentication
  // Implementation depends on Bitsgap's specific API requirements
  // Refer to Bitsgap API documentation for exact endpoint and auth method
  console.log('Sending to Bitsgap:', payload);
}

Note: Bitsgap's API authentication and endpoints may vary. Consult the official Bitsgap documentation for the most current API specifications.

TradingView Integration Guide

TradingView alerts can send webhooks to external services. This section covers integrating AmpFi Strategy API with TradingView alerts.

Using AmpFi API with TradingView Alerts

TradingView alerts send webhook payloads in this format:

json
{
  "symbol": "{{ticker}}",
  "price": {{close}},
  "action": "buy",
  "time": "{{time}}"
}

Webhook Bridge for TradingView

You can create a bridge service that receives TradingView alerts and enriches them with AmpFi predictions:

javascript
// tradingview-bridge.js (Express.js example)
const express = require('express');
const axios = require('axios');
 
const app = express();
app.use(express.json());
 
const AMPFI_API_BASE = 'https://rose.ampfi.app/api/v1/public/strategy';
const AMPFI_API_TOKEN = process.env.AMPFI_API_TOKEN;
 
// Endpoint to receive TradingView alerts
app.post('/tradingview-webhook', async (req, res) => {
  const { symbol, price, action } = req.body;
  
  // Fetch AmpFi strategy to validate/enhance the signal
  try {
    const ampFiResponse = await axios.get(
      `${AMPFI_API_BASE}/${symbol.replace('_', '')}`,
      {
        headers: { 'Authorization': `Bearer ${AMPFI_API_TOKEN}` }
      }
    );
    
    const strategy = ampFiResponse.data.strategy;
    
    // Only proceed if AmpFi confirms the signal
    if (strategy.signal === action && strategy.confidence > 0.7) {
      // Forward to your trading platform or execute trade
      console.log('Validated signal:', { symbol, action, confidence: strategy.confidence });
      // Your trading logic here
    }
    
    res.json({ status: 'processed' });
  } catch (error) {
    console.error('Error processing TradingView alert:', error);
    res.status(500).json({ error: 'Processing failed' });
  }
});
 
app.listen(3000, () => {
  console.log('TradingView bridge service running on port 3000');
});

Creating Custom TradingView Scripts

You can also create Pine Script indicators that incorporate AmpFi API data (requires additional setup):

Advanced: For Pine Script integration, you'll need to set up a data feed service that fetches AmpFi predictions and makes them available to TradingView. This is beyond the scope of this guide but is technically feasible.

For more details on TradingView webhooks and alerts, refer to the official TradingView documentation.

Combining API Predictions with Technical Analysis for Better Timing

While AmpFi's API provides powerful directional signals and confidence scores, combining these predictions with technical analysis can significantly improve your entry and exit timing. This section explains how to use both together effectively.

Why Technical Analysis Still Matters with AI Predictions

API predictions tell you WHERE to trade (direction and context), while technical analysis tells you WHEN to enter or exit (timing). Using both together gives you the best of both worlds:

API Predictions (Direction)

  • • Overall market direction (bullish/bearish/uncertain)
  • • Entry price targets
  • • Stop loss and take profit levels
  • • Confidence scores
  • • Multi-timeframe context

Technical Analysis (Timing)

  • • Optimal entry timing (RSI, MACD, etc.)
  • • Price action confirmation
  • • Support/resistance levels
  • • Volume analysis
  • • Chart pattern recognition

Using API Predictions as Directional Signals

Use AmpFi API predictions to determine the overall trading direction and context:

Example Workflow:

  1. API returns signal: "buy" with confidence: 0.8
  2. This tells you: WHERE - The market is bullish, enter long positions
  3. API provides entry_price: 45000 as a reference
  4. Now use technical analysis to find the best entry point near that price

Technical Analysis for Entry/Exit Timing

Once you know the direction from the API, use technical indicators to time your entry:

Timing Strategy Example:

API says "buy" with 0.8 confidence and entry_price of 45000:

  • 1. Wait for RSI to pull back below 70 (not overbought)
  • 2. Look for price to approach the API's entry_price level
  • 3. Confirm with bullish candlestick pattern (hammer, engulfing, etc.)
  • 4. Check volume is increasing (confirms momentum)
  • 5. Enter the trade when all conditions align

Combining Confidence Scores with Technical Indicators

Filter API signals based on both confidence scores and technical indicators:

javascript
// Enhanced bridge service with technical analysis filtering
function shouldSendSignal(ampFiResponse, technicalIndicators) {
  const { strategy } = ampFiResponse;
  
  // Base checks
  if (strategy.staleness?.is_stale) return false;
  if (strategy.confidence < 0.6) return false;
  
  // Technical analysis checks
  const { rsi, macd, volume } = technicalIndicators;
  
  if (strategy.signal === 'buy') {
    // Only send buy signal if:
    // - API confidence is high AND
    // - RSI is not overbought (< 70) AND
    // - MACD is bullish AND
    // - Volume is increasing
    return strategy.confidence > 0.7 && 
           rsi < 70 && 
           macd > 0 && 
           volume.trend === 'increasing';
  }
  
  if (strategy.signal === 'sell') {
    // Only send sell signal if:
    // - API confidence is high AND
    // - RSI is not oversold (> 30) AND
    // - MACD is bearish
    return strategy.confidence > 0.7 && 
           rsi > 30 && 
           macd < 0;
  }
  
  return false;
}
 
// Usage in bridge service
const technicalData = await getTechnicalIndicators(symbol); // Your TA library
if (shouldSendSignal(ampFiResponse, technicalData)) {
  await sendToPlatform(transformedPayload);
}

Real-World Example: Entry Timing Workflow

Complete Entry Workflow

Step 1: API Direction

AmpFi API returns: signal: "buy", confidence: 0.85, entry_price: 45000

✅ Direction confirmed: Bullish

Step 2: Technical Analysis Check

Check RSI: 65 (not overbought), MACD: Bullish crossover, Volume: Increasing

✅ Technical conditions favorable

Step 3: Price Action Confirmation

Price at 44950 (near API entry_price), Bullish engulfing pattern forms

✅ Entry signal confirmed

Step 4: Execute

Send webhook to trading platform with: entry at 44950, stop_loss from API, take_profit from API

✅ Trade executed with optimal timing

Key Takeaway

API predictions provide direction (WHERE to trade). Technical analysis provides timing (WHEN to trade). Using both together gives you the highest probability of successful entries and exits. Don't rely on one or the other—combine them for best results.

Best Practices and Security

Following these best practices will help you build a robust, secure, and reliable integration between AmpFi Strategy API and your trading platforms.

API Token Security

Critical Security Rules

  • ✅ Never commit API tokens to version control - Use environment variables or secret management services
  • ✅ Use environment variables - Store tokens in .env files (and add .env to .gitignore)
  • ✅ Rotate tokens regularly - Generate new tokens periodically and revoke old ones
  • ✅ Use HTTPS only - Never make API calls over unencrypted connections
  • ✅ Monitor for unauthorized access - Set up logging and alerts for suspicious activity
javascript
// ✅ GOOD: Using environment variables
const AMPFI_API_TOKEN = process.env.AMPFI_API_TOKEN;
 
// ❌ BAD: Hardcoded token
const AMPFI_API_TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...";

Rate Limiting Considerations

Implement proper rate limiting to avoid hitting API limits:

javascript
// Rate limiting example
const rateLimiter = {
  lastRequest: 0,
  minInterval: 1000, // 1 second between requests
  
  async waitIfNeeded() {
    const now = Date.now();
    const timeSinceLastRequest = now - this.lastRequest;
    
    if (timeSinceLastRequest < this.minInterval) {
      const waitTime = this.minInterval - timeSinceLastRequest;
      await new Promise(resolve => setTimeout(resolve, waitTime));
    }
    
    this.lastRequest = Date.now();
  }
};
 
// Usage
async function fetchWithRateLimit(symbol) {
  await rateLimiter.waitIfNeeded();
  return await fetchAmpFiStrategy(symbol);
}

Error Handling and Retry Logic

Implement exponential backoff for retries:

javascript
async function fetchWithRetry(url, options, maxRetries = 3) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      const response = await fetch(url, options);
      if (response.ok) return await response.json();
      throw new Error(`HTTP ${response.status}`);
    } catch (error) {
      if (attempt === maxRetries - 1) throw error;
      
      // Exponential backoff: wait 2^attempt seconds
      const waitTime = Math.pow(2, attempt) * 1000;
      console.log(`Retry ${attempt + 1} after ${waitTime}ms`);
      await new Promise(resolve => setTimeout(resolve, waitTime));
    }
  }
}

Logging and Monitoring

Implement comprehensive logging for debugging and monitoring:

javascript
// Logging example
function logSignal(symbol, action, confidence, success) {
  const logEntry = {
    timestamp: new Date().toISOString(),
    symbol,
    action,
    confidence,
    success,
    platform: 'cryptohopper' // or 3commas, etc.
  };
  
  console.log(JSON.stringify(logEntry));
  // Also send to your logging service (e.g., Loggly, Datadog)
}
 
// Usage
try {
  const payload = transformToPlatform(ampFiResponse);
  await sendToPlatform(payload);
  logSignal(symbol, payload.action, strategy.confidence, true);
} catch (error) {
  logSignal(symbol, 'unknown', 0, false);
  console.error('Failed to send signal:', error);
}

Position Sizing Based on Confidence Scores

Adjust position sizes based on API confidence scores:

javascript
function calculatePositionSize(baseSize, confidence) {
  // Scale position size based on confidence
  // Higher confidence = larger position (up to a limit)
  
  if (confidence >= 0.9) {
    return baseSize * 1.5; // Very high confidence
  } else if (confidence >= 0.8) {
    return baseSize * 1.2; // High confidence
  } else if (confidence >= 0.7) {
    return baseSize; // Normal size
  } else if (confidence >= 0.6) {
    return baseSize * 0.7; // Lower confidence, smaller position
  } else {
    return 0; // Don't trade below 0.6 confidence
  }
}
 
// Usage in transformer
const baseAmount = 0.001;
const adjustedAmount = calculatePositionSize(
  baseAmount, 
  strategy.confidence
);
 
payload.amount = adjustedAmount;

Staleness Detection Handling

Always check for stale signals before sending to trading platforms:

javascript
function isSignalValid(strategy) {
  // Check staleness
  if (strategy.staleness?.is_stale) {
    console.warn('Signal is stale, skipping');
    return false;
  }
  
  // Check confidence threshold
  if (strategy.confidence < 0.6) {
    console.warn('Confidence too low, skipping');
    return false;
  }
  
  // Check if signal is actionable
  if (strategy.signal === 'wait') {
    return false;
  }
  
  return true;
}
 
// Usage
if (isSignalValid(ampFiResponse.strategy)) {
  const payload = transformToPlatform(ampFiResponse);
  await sendToPlatform(payload);
} else {
  console.log('Skipping invalid signal');
}

Troubleshooting Common Issues

Here are solutions to common problems you might encounter when integrating AmpFi Strategy API with trading platforms.

Authentication Errors

Problem: Getting 401 Unauthorized errors when calling the API.

Solutions:

  • Verify your Bearer token is correct and not expired
  • Check that the Authorization header format is: Bearer YOUR_TOKEN
  • Ensure you have an active Expert plan subscription
  • Regenerate your API token if needed

Webhook Delivery Failures

Problem: Webhooks are not reaching your trading platform.

Solutions:

  • Verify the webhook URL is correct and accessible
  • Check that your trading platform is configured to receive webhooks
  • Test the webhook URL manually with a tool like Postman or curl
  • Check firewall/network settings that might block outbound requests
  • Implement retry logic with exponential backoff

Format Mismatches

Problem: Trading platform rejects the webhook payload.

Solutions:

  • Verify the payload format matches the platform's exact requirements
  • Check field names (case-sensitive) and data types
  • Ensure pair format matches (e.g., BTC_USDT vs BTCUSDT)
  • Validate all required fields are present
  • Check platform documentation for recent API changes

Rate Limiting Issues

Problem: Getting 429 Too Many Requests errors.

Solutions:

  • Implement rate limiting in your bridge service
  • Cache API responses when appropriate
  • Reduce request frequency for symbols that don't change often
  • Use exponential backoff when rate limited
  • Monitor your API usage and adjust accordingly

Stale Signal Handling

Problem: Receiving stale signals that shouldn't be acted upon.

Solutions:

  • Always check strategy.staleness.is_stale before sending signals
  • Implement staleness filtering in your transformer function
  • Set up automatic refresh for stale predictions
  • Log stale signals for monitoring purposes
  • Consider the time_until_stale field to proactively refresh

Advanced Integration Patterns

Once you've mastered the basics, these advanced patterns can help you build more sophisticated integrations.

Multi-Platform Integration

Use one AmpFi API call to send signals to multiple trading platforms simultaneously:

javascript
// Multi-platform bridge service
const platforms = ['cryptohopper', '3commas', 'pionex'];
 
async function sendToAllPlatforms(payload, symbol) {
  const transformedPayloads = {
    cryptohopper: transformToCryptoHopper(payload),
    '3commas': transformTo3Commas(payload),
    pionex: transformToPionex(payload)
  };
 
  const results = await Promise.allSettled(
    platforms.map(platform => 
      sendToPlatform(platform, transformedPayloads[platform])
    )
  );
 
  // Log results
  results.forEach((result, index) => {
    if (result.status === 'fulfilled') {
      console.log(`${platforms[index]}: Success`);
    } else {
      console.error(`${platforms[index]}: Failed`, result.reason);
    }
  });
}
 
// Usage
const ampFiResponse = await fetchAmpFiStrategy('BTCUSDT');
if (isSignalValid(ampFiResponse.strategy)) {
  await sendToAllPlatforms(ampFiResponse, 'BTCUSDT');
}

Confidence-Based Position Sizing

Dynamically adjust position sizes across platforms based on confidence:

javascript
function getPositionSizeMultiplier(confidence) {
  // More conservative sizing
  if (confidence >= 0.9) return 1.5;
  if (confidence >= 0.8) return 1.2;
  if (confidence >= 0.7) return 1.0;
  if (confidence >= 0.6) return 0.7;
  return 0; // Don't trade
}
 
function applyPositionSizing(payload, confidence, baseAmount) {
  const multiplier = getPositionSizeMultiplier(confidence);
  payload.amount = baseAmount * multiplier;
  payload.volume = baseAmount * multiplier; // For platforms using 'volume'
  return payload;
}

Multi-Timeframe Strategy Aggregation

Combine signals from multiple timeframes for higher confidence:

javascript
// Aggregate signals across timeframes
async function getMultiTimeframeSignal(symbol) {
  // In a real implementation, you might fetch for different symbols
  // or use the price_targets object which contains multi-timeframe data
  
  const response = await fetchAmpFiStrategy(symbol);
  const { strategy } = response;
  
  // Use the multi-timeframe data from the API response
  const timeframes = strategy.price_targets || {};
  
  // Aggregate confidence from different timeframes
  // (This is conceptual - actual implementation depends on your strategy)
  const aggregatedConfidence = calculateAggregatedConfidence(timeframes);
  
  return {
    ...strategy,
    aggregatedConfidence,
    timeframes
  };
}

Automated Signal Refresh Scheduling

Set up scheduled jobs to refresh signals automatically:

javascript
// Using node-cron for scheduling
const cron = require('node-cron');
 
// Refresh signals every 5 minutes
cron.schedule('*/5 * * * *', async () => {
  const symbols = ['BTCUSDT', 'ETHUSDT', 'BNBUSDT'];
  
  for (const symbol of symbols) {
    try {
      const response = await fetchAmpFiStrategy(symbol);
      if (isSignalValid(response.strategy)) {
        const payload = transformToPlatform(response);
        await sendToPlatform(payload);
        console.log(`Refreshed signal for ${symbol}`);
      }
    } catch (error) {
      console.error(`Error refreshing ${symbol}:`, error);
    }
  }
});
 
console.log('Signal refresh scheduler started');

Frequently Asked Questions

Common questions about integrating AmpFi Strategy API with trading automation platforms.

Conclusion and Next Steps

You now have everything you need to integrate AmpFi Strategy API with popular trading automation platforms including CryptoHopper, 3Commas, Pionex, Bitsgap, and TradingView. This guide has covered:

  • Understanding the API-to-webhook integration architecture
  • Step-by-step integration guides for CryptoHopper, 3Commas, Pionex, Bitsgap, and TradingView
  • Complete code examples in Node.js and Python
  • Combining API predictions with technical analysis for better timing
  • Best practices for security, error handling, and monitoring
  • Troubleshooting common issues
  • Advanced integration patterns

Ready to Get Started?

If you haven't already, upgrade to an Expert plan to access the API. Then follow the step-by-step guides in this post to integrate with your preferred trading platform.

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Need Help?

If you encounter issues or have questions, refer to the Troubleshooting section or check our API documentation. For Expert plan subscribers, priority support is available.