# Key highlights

### <mark style="color:purple;">Authoritative trading data</mark>

FiinQuant directly integrates real-time market data from exchanges (HOSE, HNX, UPCOM), ensuring accuracy, transparency, and reliability for analysis, trading, and research applications.

### <mark style="color:purple;">Real-time WebSocket connection</mark>

FiinQuant supports stable and high-performance WebSocket connections, enabling:

* Receiving tick-by-tick data or updates in batches (e.g., 1s, 5s, 1min)
* Automatically pushing data to dashboards, bots, and alert systems
* Continuous synchronization with historical data to support complex systems

WebSocket is integrated for both price and order book modules.

### <mark style="color:purple;">Minute-level aggregated data</mark>

The system supports tick-by-tick data down to minute-level, with full timeframes of 1', 5', 15', 1h, 4h, and 1D, allowing users to call data directly without needing to maintain their own server systems for historical data storage.

### <mark style="color:purple;">Readiness for combining historical and real-time data</mark>

FiinQuant provides built-in functions for merging and synchronizing historical and real-time data, which makes strategy development, model backtesting, and trading deployment easier and smoother.

### <mark style="color:purple;">Smart cash flow data – real-time & historical</mark>

Includes proactive indicators such as:

* **BU-SD:** Net buy/sell value of institutional/proactive investors.
* **Foreign Investors:** Real-time and time-series activities of foreign investors.

This is useful for identifying significant capital flows and short-to-medium term market trends.

### <mark style="color:purple;">**Integration of popular technical analysis (TA) indicators**</mark>

The library comes with integrated indicator sets such as:

* MA, EMA, RSI, MACD, Bollinger Bands
* Breakout Signals, Divergence
* Volume Profile and other market behavior indicator groups

### <mark style="color:purple;">**Advanced financial functions for professional investors**</mark>

FiinQuant provides many utility functions ready for deployment:

* **Stock prediction:** Forecast stock price trends using ML (Machine Learning)
* **Similar chart:** Search for stocks with similar chart patterns
* **Rebalance index:** Rebalance index portfolios periodically or based on signals
* **Factor models:** Analyze factors influencing stock performance
* Continuously update other financial models periodically

> **Using the FiinQuant library is not merely about data retrieval; it's about utilizing an ecosystem of built-in quantitative tools designed for investors.**


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