In late 2019 we will be offering some of our financial models to the community. These Indicators can be used and integrated with many services that support trade automation;. We support:
If you know a bit of programming, and do not feel like training your own deep neural network signal detection layers, you might want to sign up.
We have licenses and scrapers saving private and public data to form our pureAlphaAPI. Each project we work on has custom goals, signal strengths, and targets within different equities and derivative markets. If you have some example goals, and a spreadsheet of previous work, you are ready to sit down with us.
Using broad associations across asset classes and proprietary datasets, we help forecast headwinds that lead to increased volatility and risk. This allows our partners to take on more aggressive stances with some indication that the short term risk exposure profile is advised. Conversely, when we get headwinds of likely increases in volatility, we increase hedging signalling to help trigger hedging reactions for our partners..
We hear this all the time. We can help with ETL, API development, signal detection and hosting. You might need just a bit of training via our expert coaching program, or you might want access to our Full Service data science project via our partners at Vector or MistyWest. Either way we can help you derive value from the data that is strewn about your organization.
Access our pureAlphaAPI. We combine back data from twitter, facebook, price data, and volitility data to give a high-uptime stream of analytics.
We help technical teams make decisions quickly, and will less overhead. Here is how to get your data:
Visit the API Tutorial
apikey = '[YOUR_KEY_HERE]'
r = requests.get('[YOUR_PRIVATE_URL]?apikey='+apikey)
assert r.status_code == 200
j = r.json()