Xiaoman applies predictive AI to market data so that decisions are grounded in evidence rather than instinct. There is no minimum deposit: you can begin with whatever capital you have and scale as you learn.
Stock exchanges publish vast quantities of data every second: price movements, order flow, corporate disclosures, macroeconomic releases. For an experienced analyst, this volume is manageable. For someone opening their first account, it is simply noise, and noise discourages participation long before any capital is at risk.
Xiaoman's process is deliberately sequential. Each stage exists to reduce uncertainty before the next begins, rather than to produce a single opaque output.
Market feeds, historical pricing and volatility indicators are collected continuously and normalised into a single structured dataset, removing duplication and inconsistency before analysis begins.
Statistical and machine-learning models examine patterns across the aggregated dataset, generating probability-weighted forecasts of likely price behaviour under current conditions.
Forecasts are translated into position sizing and allocation guidance, calibrated against each account's stated risk tolerance and available capital, however modest.
The tools below were historically reserved for funds managing significant capital. Xiaoman applies the same underlying analytical approach at any account size.
Accounts can be opened and funded at any amount. Position sizing adjusts automatically to the capital available, so smaller accounts are not excluded from the analysis.
Guidance reflects your stated risk tolerance, time horizon and existing holdings, rather than a single generic model applied uniformly to every user.
Volatility and correlation data are factored into every recommendation, with the objective of limiting drawdown rather than maximising short-term gain alone.
The same categories of data — order flow, macro indicators, historical volatility — used by professional desks are made available through a single, readable interface.
Xiaoman was developed on the premise that access to good analysis, not access to large capital, is what separates informed decisions from guesswork. The platform does not promise outsized returns. It aims to make the reasoning behind each recommendation visible, so you can judge it on its own merits.
Every recommendation is accompanied by the data points that informed it, allowing you to understand the basis for a suggestion rather than simply accepting it.
Rather than relying on testimonials, Xiaoman publishes the logic behind its forecasts so you can assess the method directly.
Forecasts are produced by an ensemble of statistical and machine-learning models, each trained on distinct slices of historical market data and reconciled against one another before a recommendation is issued.
Rather than claiming fixed accuracy rates, the system reports confidence ranges for each forecast and adjusts those ranges as new data arrives, particularly during periods of elevated volatility.
Account credentials and personal data are encrypted in transit and at rest. Xiaoman does not hold client funds directly; capital is held with regulated custodians, and the platform's role is limited to analysis and instruction, not safekeeping.
There is no minimum deposit to open an account. Any applicable fees are disclosed before you confirm an action, and there are no undisclosed charges applied to dormant or low-balance accounts.
The predictive models combine established statistical forecasting techniques with machine-learning methods trained on historical and real-time market data. The methodology is documented and updated as models are retrained, rather than kept as an undisclosed process.
Opening an account takes a few minutes and carries no minimum deposit requirement. You can review the platform's analysis before committing any capital.
Open your account