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prognos_tychonova_crypto

prognos_tychonova_crypto by Prognos Predictive Analytics

Product Type: altdata
Region:

Industry:

Asset Classes: Crypto ,
Data Frequency: day

Dataset Name: prognos_tychonova_crypto


Group: altdata
Vendor: Prognos Predictive Analytics
Symbol Set: Cryptocurrency
Asset Class: Crypto
Data Update Time(s): 7:35 AM EST

TychoNova Price Movement Prediction Cryptocurrencies

TychoNova is a research and analytics tool developed by Tony Kolton that helps predict price movement in equities, crypto, futures and commodities. The tool forecasts what the market reaction will be in advance and functions as an "EKG" of the market detecting subtle irregularities and shifts prior to the major market move.

We quantitatively rank equities, crypto, futures and commodities intraday/daily based on our proprietary scoring system of which are the top buys and top shorts. The technology can act as a screening tool for new ideas for going long/short or allow you to input your current portfolio for analysis to advise you to increase or decrease your positions throughout the year and utilizes machine learning from historical data/backtesting.

The theory we base our predictions on is that news will typically "leak out" and if we watch closely certain indicators tuned to detect selling or buying of insiders who know the numbers in advance, we can accurately predict movement. We use eight highly specialized indicators tuned to the market that our founder used to trade the option pits in Chicago. He retired to start another market research firm catering to energy traders, LIM which sold the "Market Information Machine" and was sold to Morningstar for 58M.

T-Scores are available on a Daily and Minute basis.



Data Contained in this Dataset

Column Type Description
_seq uint Internal sequence number used to keep data rows in order
timestamp string Timestamp of the Data - America/New York Time.
muts uint64 Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps. (underlying field is nc_publish_date_actual)
symbol string Trading Symbol or Ticker
Date string Date
Exchange string Listing Exchange
T-Score double T-Score


Important Dataset Notes

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