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Build a Real-Time Trading Bot in Python: Fetch Prices and TA with Market Masters API

Build a Real-Time Trading Bot in Python: Fetch Prices and TA with Market Masters API

Market Masters AI gives developers access to institutional-grade data via REST API and WebSockets. This tutorial walks you through a Python bot that pulls live BTC prices, computes RSI for oversold/overbought signals, and logs trade alerts.

Target audience: Python devs new to trading APIs. No finance PhD required.

Why Market Masters?

  • 2,500+ cryptos, S&P 500 stocks, futures, ETFs.
  • Real-time screeners, 16 chart patterns, Elliott Waves.
  • Free tier with API access.

Sign up: marketmasters.ai (no CC, 30-day Premium trial).

Setup 

pip install requests websocket-client python-dotenv
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Create .env:

MARKETMASTERS_API_KEY=your_key_here
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Core Functions

Load env:

import os
from dotenv import load_dotenv
load_dotenv()

API_KEY = os.getenv('MARKETMASTERS_API_KEY')
BASE_URL = 'https://api.marketmasters.ai/v1'
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Fetch spot price:

import requests

def get_price(symbol):
    url = f"{BASE_URL}/prices/{symbol}"
    headers = {'Authorization': f'Bearer {API_KEY}'}
    resp = requests.get(url)
    resp.raise_for_status()
    return resp.json()['data'][0]['price']

btc = get_price('BTCUSDT')
print(f"BTC/USDT: ${btc:.2f}")
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Technical analysis (RSI example):

def get_rsi(symbol, period=14, timeframe='1h'):
    url = f"{BASE_URL}/ta/{symbol}/rsi"
    params = {'period': period, 'timeframe': timeframe}
    headers = {'Authorization': f'Bearer {API_KEY}'}
    resp = requests.get(url, params=params, headers=headers)
    resp.raise_for_status()
    return resp.json()['rsi'][-1]

rsi_val = get_rsi('BTCUSDT')
print(f"RSI (14, 1h): {rsi_val:.2f}")
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WebSocket for Live Updates 

import websocket
import json

def on_message(ws, msg):
    data = json.loads(msg)
    price = data['price']
    rsi = get_rsi('BTCUSDT')  # Refresh TA
    signal = ""
    if rsi < 30:
        signal = "BUY (oversold)"
    elif rsi > 70:
        signal = "SELL (overbought)"
    print(f"Price: ${price:.2f} | RSI: {rsi:.2f} | {signal}")

ws_url = f"wss://ws.marketmasters.ai/prices?symbol=BTCUSDT&token={API_KEY}"
ws = websocket.WebSocketApp(ws_url, on_message=on_message)
ws.run_forever()
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Full Bot Script

Combine into trading_bot.py:

# [full code here - import all, main loop with error handling, Telegram alerts via Orion if premium]
import time
# ... (previous functions)

if __name__ == "__main__":
    while True:
        try:
            price = get_price('BTCUSDT')
            rsi = get_rsi('BTCUSDT')
            if rsi < 30:
                print("🚀 BUY ALERT")
                # send_telegram_alert("BUY BTC")
            elif rsi > 70:
                print("🔴 SELL ALERT")
            time.sleep(60)  # Poll every minute
        except Exception as e:
            print(f"Error: {e}")
            time.sleep(30)
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Test and Deploy

Run: python trading_bot.py

Deploy on VPS with screen or systemd. Add portfolio tracking:

positions = {'BTC': 0.1}  # Your holdings
pnl = sum(pos * get_price(k) for k,pos in positions.items())
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Limitations and Improvements

  • This is RSI-only. Stack with Market Masters' chart patterns API.
  • Rate limits: Free tier 100/min.
  • Risk: Backtest before live trading.

Get Started

Free API access today. Build smarter bots: marketmasters.ai/signup.

Questions? API Docs | Discord

Affiliate: 20% recurring commissions.

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