Nến Bảoquang - financial data analysis dashboard for businesses

Optimize idle cash flow with artificial intelligence

Nến Bảoquang helps SMEs automate price averaging (DCA) strategies with smart entry points, minimizing risk and increasing financial performance based on real data.

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Don't let working capital sit idle and go to waste

Many business owners have difficulty finding a safe investment for excess cash without affecting daily operations. Continuously monitoring the market is also not a viable option when major resources are devoted to core business activities.

Nến Bảoquang solves this problem with a real-time risk prediction model, helping you make investment decisions based on data instead of emotion, while maintaining a proactive level of liquidity for your business.

The data source is processed Real time
Order entry method DCA has AI tuning
Level of manual intervention Minimum
Effective reporting Every day

Three technical capabilities that make a difference

Each component in the system is designed to operate independently but complement each other, to keep the business's capital always operated under control.

01

Smart DCA automation

Not only buying periodically according to a fixed schedule, the AI system analyzes short-term fluctuations to choose the optimal price moment in each investment period, helping to reduce average costs over time.

02

Real-time data analysis

The model processes millions of market variables every day, from price data to macro news, to provide more accurate order entry recommendations than manual methods.

03

Multi-level risk management

Capital is protected by safety thresholds specifically set for each business size, helping to limit maximum losses during periods of strong market fluctuations.

Three steps to bring AI into capital management

1

Connect target data

Enterprises provide information about idle capital, liquidity goals and risk tolerance levels for the system to establish an appropriate analysis context.

2

AI establishes forecasting models

Based on connected data, the system builds its own DCA strategy and determines expected entry points for each period.

3

Automate execution and reporting

The system executes the strategy according to the established schedule and sends transparent reports on investment efficiency every day for business owners to monitor.

Nến Bảoquang - data analysis and financial forecasting modeling team

Bao Quang Candle Logic: transparency in every decision

Our machine learning model continuously refines entry points based on historical volatility and macro news events that are likely to impact the market. Each recommendation is traceable to the data and parameters that were used to create it.

We prioritize algorithmic transparency over hard-to-interpret results, so business owners always understand why an investment decision was made.

Enterprise data is stored and processed according to enterprise-level security standards, with access rights clearly stratified for each user role.

Turn data into a financial advantage today