Platforms like Tiger Brokers, Moomoo and Longbridge are rolling out AI copilots that digest earnings, flag risk and — in Longbridge’s case — draft trade plans on their own, as usage among Singapore investors climbs sharply.
Singapore’s retail trading scene is going through a quiet AI upgrade. According to a report by The Straits Times, a growing share of users on Moomoo, Tiger Brokers and Longbridge are now using AI features baked into their brokerage apps — rather than pasting portfolio data into standalone tools like ChatGPT or Claude — to interpret volatility, screen opportunities and decide when (or when not) to trade.
The shift says as much about AI adoption in Asian retail finance as it does about crypto-adjacent fintech’s broader push to put AI copilots in front of everyday users.
Tiger Brokers: from information to action
Tiger Brokers has seen conversation volume on its in-app assistant, TigerAI, jump 500 per cent year-on-year among Singapore users as of June 2026, with monthly active users up 65 per cent, the firm told The Straits Times. TigerAI product lead Jingxin Du said engagement is shifting from one-off questions to ongoing conversations, letting the assistant build a picture of a user’s trading style and risk appetite over time.
The tool proved its worth during the August 2025 reciprocal US tariff rollout, when investor queries centred on how specific stocks and sectors would be hit. In one case cited by the firm, TigerAI flagged overly bullish sentiment and an upcoming earnings report before a high-net-worth investor entered a short-term trade in a popular tech stock — including concerns over the company’s operating cash flow and insider selling. The stock fell after earnings, and the investor avoided the drop. Tiger Brokers says it plans to extend TigerAI from an information layer toward assisting with trade execution, while keeping final control with the investor.
Longbridge bets on “agentic” AI
Longbridge is going further with an agentic model under its Longbridge AI banner: rather than waiting for prompts, the tool scans the market for developments relevant to a user’s actual holdings and drafts an action plan based on their portfolio history — though it never places a trade without confirmation. Group chief Nowa Zhu and Singapore/SEA regional chief Gavin Chia told The Straits Times that close to 30 per cent of Longbridge’s global users have tried the tool, with about 18 per cent using it monthly. The firm is also planning a Longbridge AI Lab in Singapore, partnering with local universities to build out talent — part of a broader bet that AI, not just access to more tickers, is what will cement Singapore’s edge as a financial hub.
Moomoo: one tool, three investor tiers
Moomoo’s approach leans on segmentation. Chief growth and marketing officer Erika Chiang said beginners use AI mainly to translate earnings reports and options chains into plain language, intermediate users treat it as a research accelerator for comparing data points across sectors, and advanced traders use it for multi-factor analysis, options screening and backtesting. Since its June 2025 launch, Moomoo AI has expanded from equities into options, IPOs, bonds and ETFs, with the firm describing engagement as “becoming deeper” as users move from simple market questions to workflow automation.
One Moomoo user, 30-year-old PR professional Timothy Tham, told The Straits Times he trusts in-app AI more than standalone chatbots specifically because he assumes the platform has already handled data privacy and risk vetting — a trust dynamic worth noting given how differently crypto-native users tend to treat custody of their own data.
The catch: AI that’s built to keep you trading
Not everyone is unreservedly bullish on the trend. S. Kishan, founder of Analytico AI, told the paper that AI-driven insights inside a trading app inevitably carry a bias baked in by the platform’s own incentives. “It rarely points towards doing nothing,” he said — a pointed reminder that an app monetised by trading activity has reason to keep users engaged, checking in, and clicking “trade.” His call: platforms should be upfront about what behaviour their AI is actually tuned to encourage.
For crypto and fintech watchers, the pattern looks familiar — AI copilots lowering the barrier to entry while quietly nudging engagement metrics upward, whether the asset on screen is a bank stock or a token.
Reporting and quotes in this piece are drawn from an original report by The Straits Times, published August 17, 2026 and updated August 19, 2026.