CFI Puts a Trading Behaviour Score and AI Assistant Inside Its App

CFI Financial Group has introduced TradeWise, a behavioural analytics feature built into its CFI Trading App, which scores clients' trading habits and links those insights to the broker's AI assistant, Kaiana. According to fxnewsgroup.com, the tool is being rolled out through the latest version of the app on iOS and Android, subject to availability across markets.

Contents

01

What the score actually measures

02

Kaiana turns the score into a conversation

03

A wider turn towards analysing the trader

04

Questions the announcements leave open

What the score actually measures

TradeWise is designed to shift attention from what a trader buys and sells to how they go about it. CFI says the feature produces a Trading Behaviour Score, which gives a structured overview of trading activity and highlights recurring behavioural patterns drawn from each client's own trading history.

For readers new to foreign exchange, behavioural analytics is a broad label for tools that examine patterns in a person's past decisions rather than the market itself. In this case, the raw material is the client's record of previous trades, and the output is a summary of habits that may repeat over time.

CFI frames the launch around a simple idea: access to market information has become easier, but understanding one's own behaviour is a separate part of the trading journey. The broker says habits, patterns and decisions can offer useful insight into how a person approaches trading, and that TradeWise brings that awareness directly into the app.

Kaiana turns the score into a conversation

Kaiana, CFI's AI-powered assistant already built into the app, adds a conversational layer to the score. Clients can ask the assistant what affected their score or how their behaviour has changed over time, and it provides explanations based on the information made available through TradeWise.

Financemagnates describes a practical example: a client who notices a change after several trades could ask Kaiana what the analysis identified in their recent activity. The feature is presented as a way to make previous decisions easier to examine.

Kaiana's existing functions continue alongside the new role. CFI says the assistant still offers live market intelligence, company research, financial education and structured market analysis through a single conversational interface.

Ziad Melhem, chief executive of CFI Financial Group, said technology has transformed how traders access information and analyse financial markets. "TradeWise brings greater visibility to trading habits and patterns, while Kaiana helps clients explore and understand those insights," he said, adding that the focus is on supporting greater awareness and informed decision-making while keeping traders in control of their own decisions.

Financemagnates notes that Melhem had already mentioned the tool as part of CFI's AI ecosystem in an August interview with Finance Middle East, and that the latest announcement provides more detail on the Kaiana connection and confirms the app rollout.

A wider turn towards analysing the trader

CFI is not alone in this direction. Financemagnates reports that DXtrade has integrated Notofin, an external performance intelligence platform, as an optional behavioural-analysis module that brokers licensing DXtrade can choose to add to their client offering.

The two products work differently. Notofin automatically imports trading activity and combines it with information supplied by the trader, including journal entries, screenshots, execution context and the emotions associated with individual decisions. Its analytics are intended to identify recurring strengths, mistakes and departures from a trading plan, and traders can review consistency in areas such as risk discipline, timing and adherence to a strategy.

"The market has been analyzed from every angle; the trader has not," said Kaloyan Ivanov, co-chief executive of Notofin, describing the aim of bringing what he called a missing behavioural layer to the DXtrade ecosystem.

Both rollouts rest on a shared premise, as Financemagnates puts it: profit and loss records say what happened, while behavioural data may help explain why. For beginners, that distinction matters because a trading record shows outcomes, not the reasoning behind each entry and exit.

Questions the announcements leave open

Financemagnates also sets out limits to what these tools can claim. It states that neither announcement provides evidence that behavioural feedback improves trading outcomes, and that CFI has not published the methodology used to calculate its Trading Behaviour Score, which prevents clients from independently reproducing or assessing it.

On Notofin, the same report notes that some conclusions depend on traders consistently and accurately recording their emotions and decision-making context, so its AI-assisted observations are not equivalent to an objective assessment of trading ability. The report adds that AI can help turn account history from a record of past trades into an ongoing source of client feedback.

CFI describes itself as a regulated online trading provider established in 1998, with more than 25 years of experience and operations from financial centres including London, Abu Dhabi, Dubai, Cape Town, Baku, Beirut, Amman, Cairo and Bogotá. The group says it offers access to equities, currencies and commodities, among other markets.

The launch adds behavioural analytics to a platform that already bundles market information, research and education, a combination CFI says brings those elements together in one place. For traders in Singapore and the wider region weighing up such features, the practical question is less about novelty than about what the score is built from and how much weight to place on it.