I designed and built this trading automation platform concept to show how a professional trading ...I designed and built this trading automation platform concept to show how a professional trading ...
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I designed and built this trading automation platform concept to show how a professional trading bot system could look and work.
It includes a market scanner, trading signals, strategy management, risk controls, backtesting, performance tracking, and Telegram-ready notifications.
The idea is to create custom trading systems based on each client’s needs.
In today's dynamic financial markets, manually tracking portfolios and analyzing market data is time-consuming and prone to decision fatigue.
Alpha Studio designed a modern landing page interface for Aset that distills complex algorithmic data into a seamless, visual, and intuitive experience.
The Solution & Design Approach:
High-Impact Hero Section: Utilizes 3D geometric visuals (red/orange sphere grid) and explicit CTAs to communicate the core value proposition within seconds.
Transparent Performance Tracking: Interactive performance cards displaying real-time portfolio growth metrics (e.g., 95% ↑8%) in an easy-to-digest format.
Optimized Conversion Architecture: Features prominent social proof (Trusted by 1.2k+ users, Logo Cloud) paired with structured navigation.
Title: AI Powered Telegram Chatbot
Description: A fully functional Telegram bot powered by Groq AI.
Handles conversations, remembers context and logs all messages
to a Supabase database. Deployed on Railway.
Link: https://t.me/WallexNexus_bot
How do you scope the Supabase conversation memory: per user, per chat, or both? I'd keep private-chat history out of group replies if the bot supports group conversations.