Spaces:
Running
Running
Commit History
-
build the backend of this Forex bot <!DOCTYPE html>
Verified signature<html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Forex Structure Bot Core (SMC)</title> <script src="https://cdn.tailwindcss.com"></script> <style> /* Custom styles for better visibility and structure */ body { font-family: 'Inter', sans-serif; background-color: #f7f9fb; } .bias-box { font-size: 1.5rem; font-weight: bold; padding: 1rem; border-radius: 0.75rem; text-align: center; transition: all 0.3s ease; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); } .bullish { background-color: #10b981; color: white; } .bearish { background-color: #ef4444; color: white; } .accumulative { background-color: #f59e0b; color: white; } .code-container { max-height: 400px; overflow-y: scroll; background-color: #1f2937; col…58fb9de -
Building the Production Trading Bot Backend
Verified signatureThe transition from a front-end simulation (like the one we have been using) to a functional, real-time trading bot involves three critical engineering pillars. Pillar 1: Data Infrastructure & Connectivity The bot needs a constant, reliable, and fast stream of candlestick data from the market (OHLCV) to calculate pivots and structure in real-time. Component Description Recommended Tools Real-Time Data Feed Fetches the latest price bars for the required timeframes (5M, 15M, etc.) and handles historical data retrieval for initialization. Broker APIs (e.g., OANDA, Interactive Brokers) or Data Providers (e.g., Alpaca, Polygon.io, or MetaTrader bridge). Persistence Layer (DB) A database is mandatory. It saves the bot's state (the last confirmed structural points, like the Protected Low/High) so the bot can restart without losing its place in the market structure. Firestore/MongoDB (NoSQL for flexible data structure) or PostgreSQL (Relational for robust data integrity). Hosting T…6841ecc