AIFO launches AI Coach 1.0 for pre-trade checks

AIFO Trading has released AI Coach 1.0, a browser-based research tool that questions trade ideas before an order is placed. Trader Shyam Patil says the tool changed four of his 10 planned sessions, including two cancellations and one risk reduction, underscoring the appeal of pre-trade discipline in funded trading.

Why it matters: - AI Coach 1.0 is aimed at the moment before execution, when traders still can change size, timing or direction. - The tool is designed to help traders challenge weak reasoning, event risk and overexposure before a loss-limit breach or impulsive trade. - In funded trading, where daily loss limits and drawdown rules are tight, one bad decision can end an account.

What happened: - AIFO Trading launched AI Coach 1.0, a browser-based tool built around the prompt: “Ask Before You Trade.” - The product is made for pre-trade research, risk checks and deeper questioning of a trade plan. - AIFO trader Shyam Patil used the tool after launch across ten planned trading sessions. - Patil said the tool changed his final decision four times. - The changes included two cancelled trades, one reduced-risk trade and one delayed trade until after an economic release.

The details: - Users can submit three questions without signing in. - The tool offers Default and Deep Research modes. - Recent conversations can be revisited, and market material appears in an “Insights For You” section. - AI Coach does not execute trades. - Traders can test a market question, planned entry or existing trade idea before committing capital. - Example uses include checking what could affect XAU/USD around a US inflation release, reviewing combined dollar exposure or testing whether a stop fits market structure. - Patil focused on gold and major FX pairs. - In one test, Patil brought a gold trade idea to AI Coach with the entry, stop distance, trade reason and economic calendar. - The coach pushed back by asking what would invalidate the trade, why Patil wanted to enter before data and how the trade fit with another dollar-sensitive position. - Patil decided not to place that order. - Patil said his timing was poor and his combined dollar exposure was higher than he first admitted. - Patil said a sound decision can still mean missing a winning move. - Default mode was used for shorter checks, including calendar risk, position size and direct challenges to a thesis. - Deep Research was used when macro data, central-bank language, positioning and technical levels all needed to be weighed together. - Patil said he would not use Deep Research for every entry. - Recent Chats let him compare earlier reasoning with what happened later.

Between the lines: - The product is less a trading signal engine and more a friction layer that slows down rushed decisions. - The first release is positioned as a research and questioning layer, not a replacement for a strategy, risk manager or trading platform. - Patil said the tool helped most when signals were mixed, several releases were near or multiple positions were tied to the same currency. - He said the pause required to explain entry, invalidation, event risk and total exposure made some ideas look weaker before execution. - The tool’s limits are explicit: it cannot force discipline, detect fatigue unless the trader raises it or turn a bad strategy into a profitable one. - Patil said responsibility stays with the trader.

What's next: - AIFO’s next question is how often traders will use AI Coach during the minutes before they place an order. - The company appears to be testing whether pre-trade questioning becomes a habit, especially for traders under tight risk controls.

The bottom line: - AI Coach 1.0 is built to stop bad trades from starting, not to manage them after the fact. - AIFO is betting that a short pause and a sharper question can improve discipline more than another chart signal can.