Equity Flow Visualizer

Analyze patterns in data and draw insights, from Visualizations to identify opportunities in market to drive business value, and avoid capital loss by detecting anomalous input from the exchanges.

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Inspiration

Data Visualization of Buy/Sell Transactions can help identify Economic Indicators and Market Trends, which can greatly benefit Commercial Banks and Non-Banking Financial Corporations, to improve the trade accuracy, and predict future values and also to reduce losses by identify anomalous transactions/conversations.

What it does

The Equity Flow Visualizer uses the National Bank Conversation data to create visualizations which enables us to identify different insights from the data, and also detect possible anomalies or outliers in the transactions.

How we built it

https://app.powerbi.com/groups/me/reports/90201d48-5408-441d-9f41-b102634623e7/ReportSection?bookmarkGuid=4d5e9fd4-b281-4712-bba5-b46427202733&bookmarkUsage=1&ctid=5569f185-d22f-4e13-9850-ce5b1abcd2e8&portalSessionId=9f38196d-c4ca-42d3-b951-7f45125a669c&fromEntryPoint=export

Challenges we ran into

Using Power BI, as the entire team was new to Data Visualization. Streaming the json data into Power BI.

Accomplishments that we're proud of

Worked on 3 different Data Ingestion techniques, to generate streaming data instead of just using static-json values, which helped us delve deeper into Power BI, identifying its limitations and potential.

What we learned

What's next for Project Vis

Create a Mobile Dashboard Scale the streaming dataset and remove the delay to send values as they come in, instead of with a delay, which was forced due to license issues with Power BI

Built With

  • api
  • power-bi
  • python
  • streaming-data
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