Stock Price Predictor and Analyzer – Learning Launch

Challenge

Stock market is one of the most unpredictable and uncertain markets. It depends on the  multiple factors like natural calamities, pandemic situations, company policy changes, etc.  So, we here are trying to make one tool/platform in which by analysing all the factors with  the help of Machine Learning the price of the stock can be predicted to some extent. Also,  we will provide the trading options so that investor and   seller can make their trading at the  same platform. We are going to provide different login option for the brokers of the share  market. Also, we are going to try to provide the insurance based on the predicted price by  our tool.      Selection    Our team has already gone through several design thinking activities/tools, so we are ready  to try the learning launch tool. Broadly speaking, the learning launch is an experiment  meant to quickly test an idea and prototype.      Application     For our first learning launch, we focused on the structure/execution of our online Stock  Price Predictor and Analyzer system. In particular, we wanted to build a platform where all  the users can do the trading of the stocks with some guidance by price prediction. The  desired application will be mobile application through which users can trade their stocks.    This tested our assumption that the structure and execution were the main causes of our  workflow challenge. We went through various stock trading system to collect information  about how to arrange data. Next, we went through five workshops to structure our tasks  and processes in a more agile way. These two sessions occurred within in a three-week  timeframe. We expected to produce a document with a clear description of our new, more  agile processes/workflow. For our second learning launch, we focused on gaining clarity  about our tasks and priorities. This tested our assumption that our prioritization of tasks was  the main cause of our workflow challenge.

Insight     By applying the learning launch tool, we identified our assumptions and designed launches  to test these assumptions. Additionally, we thought through anticipated results, expecting  to find that a more agile approach would improve our workflow and open to the new  prioritization of tasks or process. But everything came out as we expected.  We were only  concerned about that if user find it safe and easy to use the application and it helps in  reducing risk of the loss. We did survey about this, it turned out with excellent response.      Approach     Given that our team has already gone through several design thinking activities/tools and  are at this stage in the timeline, the learning launch is the appropriate tool. As previously  mentioned, our team needs to review the insight gained from our first two launches and  incorporate this insight into future launch designs. Future launch designs should reflect  insight gained, progress made, and come closer to a compelling solution ready for full  rollout. Our college is also happy with our efforts and mobile application.


Stock Price Predictor and Analyzer – Learning Launch Challenge Stock market is one of the most unpredictable and uncertain markets . It depends on the multiple factors like natural calamities , pandemic situations , company policy changes , etc . So , we here are trying to make one tool / platform in which by analysing all the factors with the help of Machine Learning the price of the stock can be predicted to some extent . Also , we will provide the trading options so that investor and seller can make their trading at the same platform . We are going to provide different login option for the brokers of the share market . Also , we are going to try to provide the insurance based on the predicted price by our tool . Selection Our team has already gone through several design thinking activities / tools , so we are ready to try the learning launch tool . Broadly speaking , the learning launch is an experiment meant to quickly test an idea and prototype . Application For our first learning launch , we focused on the structure / execution of our online Stock Price Predictor and Analyzer system . In particular , we wanted to build a platform where all the users can do the trading of the stocks with some guidance by price prediction . The desired application will be mobile application through which users can trade their stocks . This tested our assumption that the structure and execution were the main causes of our workflow challenge . We went through various stock trading system to collect information about how to arrange data . Next , we went through five workshops to structure our tasks and processes in a more agile way . These two sessions occurred within in a three - week timeframe . We expected to produce a document with a clear description of our new , more agile processes / workflow . For our second learning launch , we focused on gaining clarity about our tasks and priorities . This tested our assumption that our prioritization of tasks was the main cause of our workflow challenge . Insight By applying the learning launch tool , we identified our assumptions and designed launches to test these assumptions . Additionally , we thought through anticipated results , expecting to find that a more agile approach would improve our workflow and open to the new prioritization of tasks or process . But everything came out as we expected . We were only concerned about that if user find it safe and easy to use the application and it helps in reducing risk of the loss . We did survey about this , it turned out with excellent response . Approach Given that our team has already gone through several design thinking activities / tools and are at this stage in the timeline , the learning launch is the appropriate tool . As previously mentioned , our team needs to review the insight gained from our first two launches and incorporate this insight into future launch designs . Future launch designs should reflect insight gained , progress made , and come closer to a compelling solution ready for full rollout . Our college is also happy with our efforts and mobile application .