"Best Re-imagination of Markets" - Hack today's financial markets. We are looking for hacks that introduce a new way to look at financial markets.
Examples:
- Face recognition technology parallel to creating financial landmarks
- Electrical signal process to find financial signals
- Using Amazon Alexa, chat bots for financial use case
- VR for a financial use-case
- Graph technology for finance
- Visualization of some analysis; visualize market data as a tree growing
- Show streaming market data in context of historical norms
- Identify inflection point on streaming market data
- Chart of chocolate milk production vs. Nasdaq-100 index performance
- Intersting use of the data
- Potential impact
- Technical accomplishment
- Flair, baby
{ "Symbol": "NDAQ", "DateStamp": "2017-08-10T00:00:00Z", "High": 76.7999000000, "Low": 75.5810000000, "Open": 76.0300000000, "Close": 75.9200000000, "LastSale": 75.9200000000, "Volume": 750671 }ws://34.214.40.112/stream - Symbols (stock tickers) - one or more, comma seperated
symbol=NDAQ,AAPL,GOOG,MSFT - Start date
start=20170101 - End date
end=20170201 var WebSocket = require('ws'); var ws = new WebSocket("ws://34.214.40.112/stream?symbol=NDAQ,AAPL,GOOG,MSFT&start=20170101&end=20170201"); process.stdin.resume(); process.stdin.setEncoding('utf8'); process.stdin.on('data', function(message) { message = message.trim(); ws.send(message, console.log.bind(null, 'Sent : ', message)); }); ws.on('message', function(message) { console.log('Received: ' + message); }); ws.on('close', function(code) { console.log('Disconnected: ' + code); }); ws.on('error', function(error) { console.log('Error: ' + error.code); }); import sys import websocket import thread import time def on_message(ws, message): print message def on_error(ws, error): print error def on_close(ws): print "### closed ###" def on_open(ws): def run(*args): for i in range(1): time.sleep(1) ws.send("Hello %d" % i) time.sleep(1) ws.close() print "thread terminating..." thread.start_new_thread(run, ()) if __name__ == "__main__": websocket.enableTrace(True) url = 'ws://34.214.40.112/stream?symbol=NDAQ,AAPL,GOOG,MSFT&start=20170101&end=20170201') ws = websocket.WebSocketApp(url, on_message = on_message, on_error = on_error, on_close = on_close) ws.on_open = on_open ws.run_forever()import websocket import threading import time import argparse def on_message(ws, message): print(message) def on_error(ws, error): print(error) def on_close(ws): print("### closed ###") def on_open(ws): def run(): ws.send("") time.sleep(1) ws.close() threading.Thread(target=run).start() def main(): parser = argparse.ArgumentParser(description='gettin some market data') parser.add_argument('--start_date', required=True, help="Enter a valid start date in YYYYMMDD format") parser.add_argument('--end_date', required=True, help="Enter a valid end date in YYYYMMDD format") parser.add_argument('--symbols', required=True, help="Enter a ticker symbol or list of tickers. E.g. NDAQ or NDAQ,AAPL,MSFT") args = parser.parse_args() websocket.enableTrace(True) symbols = args.symbols.split(',') for symbol in symbols: url = 'ws://34.214.40.112/stream?symbol={}&start={}&end={}'.format(symbol,args.start_date,args.end_date) ws = websocket.WebSocketApp(url, on_message = on_message, on_error = on_error, on_close = on_close) ws.on_open = on_open ws.run_forever() if __name__ == "__main__": main()