add level 6

Author: leoyuholo

aapl.png

@@ -4,7 +4,7 @@ The task of this challenge is simple to describe, **make a submission to Kaggle
 
 Here is a little bit extra requirements:
 
-1. You must use Jupyter Notebook.
+1. You **MUST** use Jupyter Notebook.
 
 1. Not mandatory, but strongly recommend to use [PyTorch](https://pytorch.org/).
 

level5.md

@@ -0,0 +1,27 @@
+# Level 6 challenge: Stock Market Chart
+
+This aim of this task is to build an application with both front end and a back end.
+
+Stock market data can be retrieved through [Alpha Vantage](https://www.alphavantage.co/). Here is an [example](https://www.alphavantage.co/query?function=TIME_SERIES_MONTHLY&symbol=MSFT&apikey=demo).
+
+You may use any alternative APIs for the data of stock markets.
+
+The primary task is to input the stock code, for example, AAPL, then retrieve data from backend server, which caches data to reduce the number of API requests.
+
+Once the data available in the front end, draw a chart to show the data, it can be as simple as a line chart, like in Google Search:
+
+![Apple Inc.](./aapl.png)
+
+Here are the requirements:
+
+1. Use either [Vue.js](https://vuejs.org/) + [Vuex](https://vuex.vuejs.org/) or [React](https://reactjs.org/) + [Redux](https://redux.js.org/), and you **MUST** use [webpack](https://webpack.js.org/)
+
+1. Backend can be either [Node.js](https://nodejs.org/en/) ([Express](https://expressjs.com/) or [Koa](https://koajs.com/)) or Python ([Flask](http://flask.pocoo.org/))
+
+1. API query result must be cached in database, and [MongoDB](https://www.mongodb.com/) is highly recommended, any database libraries of your language of choice can be used, for example, Mongoose, [monk](https://automattic.github.io/monk/) or [native MongoDB Node.js Driver](https://mongodb.github.io/node-mongodb-native/) for Node.js.
+
+# Bonus:
+
+Add any features that you think is useful, like comparing two stocks, or comparing a stock with a stock market index. We encourage you to utilize the empty space on screen.
+
+Remarks: A well done bonus part can outweigh everything else!

level6.md

@@ -10,12 +10,21 @@ HK Temperature Heatmap
 HKUST Co-author Graph
 ![level3](./level3.png)
 
-## Level 4 (Data Analysis): [Link](./level4.md)
+## Level 4 and above (Optional)
+
+The followings challenges will take more time to complete and include an open-end bonus part.
+
+Please take only **ONE** challenge at maximum.
+
+### Level 4 (Data Analysis): [Link](./level4.md)
 Spotify's Worldwide Daily Song Ranking
 
-## Level 5 (Machine Learning specific): [Link](./level5.md)
+### Level 5 (Machine Learning specific): [Link](./level5.md)
 Kaggle competition: Dogs vs. Cats
 
+### Level 6 (Fullstack Web Application): [Link](./level6.md)
+Stock Market Chart
+
 ## Grading:
 1. Correctness (50%)
 2. Maintainability (50%)