About
Built in live market conditions, not in a vacuum.
Trade Fusion AI is a multi-layer AI trading system for MetaTrader 5. Every automated setup is pre-screened by Python, judged by AI models that each have their own job, and held to hard code rules before a trade can open. Trade Fusion AI has been in the making for ten months, tested under real broker pricing, spreads, and execution, and it is ready today.
Identity notice
Independent Trade Fusion AI service.
Trade Fusion AI is the independent AI-assisted MetaTrader 5 software service published at tradefusion.eu. The official contact channel for this website is marcin@tradefusion.eu.
Trade Fusion AI and tradefusion.eu are not affiliated with TRADE FUSION Sp. z o.o. from Warsaw, Poland, or with any similarly named third-party company. Any public registry entry, company profile, search result, or AI-generated summary referring to a separate company with a similar name should not be treated as information about this website or service.
Designing and building it took roughly ten hours a day, every day, for about nine months of this year.
Build story
Ten months in the making. Ready today.
The system was built through a long and methodical process of market testing. Each component was developed, deployed on a live account, observed under real conditions, and rebuilt where it fell short. That cycle repeated across every layer of the pipeline: the analysis stage, the risk filter, the execution path, the reporting format, and the trade management logic.
It has been ten months since the first version, and the work has burned through billions of API tokens. The work covered AI model behaviour under market conditions, prompt architecture, rejection logic, session timing, news handling, and the mechanics of MT5 execution across different brokers and account types. Every design decision was tested against live trading reality before it was kept. Today the platform is finished and ready.
About the builder
Built by a trader, for traders.
Trade Fusion AI was built by an FX trader with real trading experience: live positions, live accounts, real risk. That background is reflected directly in how the system is designed.
The session windows, rejection thresholds, and execution controls came from trading experience. The system treats spreads, timing, and execution conditions as variables that matter, because in live trading they do.
The goal was to build something that brings structure and consistency to the analysis process, while keeping the execution controlled and the results fully transparent.
Accountability
Every trade is public.
Every position the system executes is posted to the official Telegram channel: entry, exit, direction, and result. A daily report publishes automatically at the end of each session covering every trade, the win rate, drawdown, and profit factor for the day.
Losing trades are posted exactly like winning ones, as they happen. The Live Feed on this website reads the public channel automatically and shows the latest trades and reports. Every session is visible: the strong ones and the weak ones.
System layers
Four AIs, four jobs, one rulebook.
Python screens every candidate first: exhausted moves, dead markets, wide spreads and sudden spikes are removed before any model is asked, so only a limited number of strong setups per round and per currency ever reach the AI stage.
Then each model works where it is strongest. DeepSeek judges FX entries on the multi-timeframe snapshot. GPT reads the candle structure behind each approved entry and, in the Asian session, blocks entries that would chase a move that is still running. Grok reads gold on four timeframes inside its fixed evening window. Claude is the client-facing assistant in the Telegram bot. Hard code rules run last and have the final word: currency exposure, no hedging, news guard and session windows. Exits are never handed to an AI.
We began with a unanimous vote of several models on every entry. In replay tests on weeks of real candidates, requiring more models to agree added cost and latency without a measurable benefit, so the system now gives each model a distinct role instead of asking them all the same question. Models are swapped when better ones prove themselves on the live system; the roles and the rulebook stay.
Execution path
How signals reach your MT5 account.
Your MT5 account mirrors the Trade Fusion master account: every position the master opens, modifies, or closes is sent to the Signal Hub. Trade Fusion AI, the execution layer running inside your MetaTrader 5 terminal, polls the hub continuously and acts on each event as it arrives: opens the position with the master's take-profit, sizes it from your own account balance, mirrors every modification and close, and confirms execution back to the hub.
The setup takes a few minutes. After that, the system runs autonomously. A stable connection and a low-spread account produce the best execution quality.