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+===============================
+``Qlib``: Quantitative Library
+===============================
+
+Introduction
+===================
+
+``Qlib`` is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment.
+
+With ``Qlib``, users can easily apply their favorite model to create better Quant investment strategy.
+
+
+Framework
+==================
+
+.. image:: ../_static/img/framework.png
+    :alt: Framework
+
+
+At module level, ``Qlib`` is a platform that consists of the above components. Each components is loose-coupling and can be used stand-alone.
+
+======================  ========================================================================
+Name                    Description
+======================  ========================================================================
+`Data layer`            `DataServer` focus on providing high performance infrastructure for user
+                        to retrieve and get raw data. `DataEnhancement` will preprocess the data
+                        and provide the best dataset to be fed in to the models.
+
+`Interday Model`        `Interday model` focus on producing forecasting signals(aka. `alpha`). 
+                        Models are trained by `Model Creator` and managed by `Model Manager`.
+                        User could choose one or multiple models for forecasting. Multiple models
+                        could be combined with `Ensemble` module.
+
+`Interday Strategy`     `Portfolio Generator` will take forecasting signals as input and output 
+                        the orders based on current position to achieve target portfolio.
+
+`Intraday Trading`      `Order Executor` is responsible for executing orders output by 
+                        `Interday Strategy` and returning the executed results.
+
+`Analysis`              User could get detailed analysis report of forecasting signal and portfolio
+                        in this part.
+======================  ========================================================================
+
+- The modules with hand-drawn style is under development and will be released in the future.
+- The modules with dashed border is highly user-customizable and extendible.