Financial decision systems
First Claim
1. A computer method relating to real-time transforming at least one “
- data-feed”
relating to historical time-relevant trading data relating to at least one tradable instrument, comprising;
a) receiving, by at least one computer, historical time-relevant trading data relating to such at least one tradable instrument;
b) calculating, by at least one computer, as at least one first calculation, at least one first time-relevant value representing historical collective desire to sell such at least one tradable instrument using such historical time-relevant trading data for at least one plurality of timeframes, wherein such at least one plurality of timeframes comprise discrete periods of time, each of substantially different time lengths than each other, from at least one minute to at least one year;
c) calculating, by at least one computer, as at least one second calculation, at least one second time-relevant value representing historical collective desire to buy such at least one tradable instrument using such historical time-relevant trading data for such at least one plurality of timeframes;
d) comparing, by at least one computer, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to make a first determining of at least one “
greater-lesser relationship”
between such historical collective desire to buy and such historical collective desire to sell for at least one timeframe of such at least one plurality of timeframes;
e) comparing, by at least one computer, in at least one prior timeframe, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to make a second determining of at least one “
greater-lesser relationship”
between such historical collective desire to buy and such historical collective desire to sell for at least one timeframe of such at least one plurality of timeframes;
f) comparing, by at least one computer, such first determining with such second determiningg) identifying, by at least one computer, any reversal of such “
greater-lesser relationship”
between such first determining and such second determining;
h) creating, by at least one computer, at least one set of buy/sell indicators for such at least one tradable instrument for each such indentified reversal;
i) creating, by at least one computer, at least one first graphical representation of such at least one first time-relevant value for such at least one timeframe;
j) creating, by at least one computer, at least one second graphical representation of such at least one second time-relevant value for such at least one timeframe;
k) wherein such at least one first graphical representation and such at least one second graphical representation are presented, by at least one computer, jointly in at least one comparative analysis chart;
l) wherein such real-time transforming at least one “
data-feed”
to provide such graphical representations is accomplished;
m) comparing, by at least one computer, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to determine at least one “
greater-lesser relationship”
for at least one plurality of such periods of time of such at least one plurality of timeframes;
n) presenting, by at least one computer, results of such comparison for each of such at least one plurality of such periods of time for such at least one plurality of timeframes; and
o) presenting, by at least one computer, at least one notice when such at least one reversal of such “
greater-lesser relationship”
occurs in at least two such discrete periods of time.
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Accused Products
Abstract
The financial decision system provides for real-time calculation of buying pressure and selling pressure for any tradable instrument market. Additionally, it provides real-time visual simultaneous plots and charts of buying pressure and selling pressure. Further, the system automatically presents buy and sell indicators and expert commentary based on automatically detected market trend changes. The system automatically analyzes market trends and changes in multiple timeframes simultaneously to identify, in real time, multiple confirmations of suggested trading actions, such as buying or selling. The system also encompasses training materials and methods necessary for teaching concepts and methods of usage to improve the likelihood of success for new users.
52 Citations
24 Claims
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1. A computer method relating to real-time transforming at least one “
- data-feed”
relating to historical time-relevant trading data relating to at least one tradable instrument, comprising;a) receiving, by at least one computer, historical time-relevant trading data relating to such at least one tradable instrument; b) calculating, by at least one computer, as at least one first calculation, at least one first time-relevant value representing historical collective desire to sell such at least one tradable instrument using such historical time-relevant trading data for at least one plurality of timeframes, wherein such at least one plurality of timeframes comprise discrete periods of time, each of substantially different time lengths than each other, from at least one minute to at least one year; c) calculating, by at least one computer, as at least one second calculation, at least one second time-relevant value representing historical collective desire to buy such at least one tradable instrument using such historical time-relevant trading data for such at least one plurality of timeframes; d) comparing, by at least one computer, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to make a first determining of at least one “
greater-lesser relationship”
between such historical collective desire to buy and such historical collective desire to sell for at least one timeframe of such at least one plurality of timeframes;e) comparing, by at least one computer, in at least one prior timeframe, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to make a second determining of at least one “
greater-lesser relationship”
between such historical collective desire to buy and such historical collective desire to sell for at least one timeframe of such at least one plurality of timeframes;f) comparing, by at least one computer, such first determining with such second determining g) identifying, by at least one computer, any reversal of such “
greater-lesser relationship”
between such first determining and such second determining;h) creating, by at least one computer, at least one set of buy/sell indicators for such at least one tradable instrument for each such indentified reversal; i) creating, by at least one computer, at least one first graphical representation of such at least one first time-relevant value for such at least one timeframe; j) creating, by at least one computer, at least one second graphical representation of such at least one second time-relevant value for such at least one timeframe; k) wherein such at least one first graphical representation and such at least one second graphical representation are presented, by at least one computer, jointly in at least one comparative analysis chart; l) wherein such real-time transforming at least one “
data-feed”
to provide such graphical representations is accomplished;m) comparing, by at least one computer, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to determine at least one “
greater-lesser relationship”
for at least one plurality of such periods of time of such at least one plurality of timeframes;n) presenting, by at least one computer, results of such comparison for each of such at least one plurality of such periods of time for such at least one plurality of timeframes; and o) presenting, by at least one computer, at least one notice when such at least one reversal of such “
greater-lesser relationship”
occurs in at least two such discrete periods of time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
- data-feed”
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13. A computer real-time analysis system, relating to assisting decision making, by at least one trader, related to buying and selling at least one tradable instrument comprising:
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a) at least one computer processor adapted for receiving, in substantially real-time, historical time-relevant trading data relating to such at least one tradable instrument; b) at least one computer processor adapted for calculating, as at least one first calculation, in substantially real-time, at least one first time-relevant value representing historical collective desire to sell such at least one tradable instrument using such historical time-relevant trading data for at least one plurality of timeframes, wherein such at least one plurality of timeframes comprise discrete periods of time, each of substantially different time lengths than each other, from at least one minute to at least one year; c) at least one computer processor adapted for calculating, as at least one second calculation, in substantially real-time, at least one second time-relevant value representing historical collective desire to buy such at least one tradable instrument using such historical time-relevant trading data for such at least one plurality of timeframes; d) at least one computer processor adapted for comparing, in substantially real-time, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to make a first determining of at least one “
greater-lesser relationship”
between such historical collective desire to buy and such historical collective desire to sell for at least one timeframe of such at least one plurality of timeframes;e) at least one computer processor for comparing, in at least one prior timeframe, such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to make a second determining of at least one “
greater-lesser relationship”
between such historical collective desire to buy and such historical collective desire to sell for at least one timeframe of such at least one plurality of timeframes;f) at least one computer processor adapted for comparing such first determining with such second determining; g) at least one computer processor adapted for identifying any reversal of such “
greater-lesser relationship”
between such first determining and such second determining;h) at least one computer processor adapted for creating, in substantially real time, at least one set of buy/sell indicators for such at least one tradable instrument for each such indentified reversal; i) at least one computer processor adapted for creating at least one first graphical representation of such at least one first time-relevant value for such at least one timeframe; j) at least one computer processor adapted for creating at least one second graphical representation of such at least one second time-relevant value for such at least one timeframe; k) at least one computer processor adapted for jointly displaying such at least one first graphical representation and such at least one second graphical representation in at least one comparative analysis chart providing at least one system relating to comparative analysis; l) at least one computer processor adapted for automatically comparing such historical collective desire to sell such at least one tradable instrument to such historical collective desire to buy such at least one tradable instrument to determine at least one “
greater-lesser relationship”
for at least one plurality of such periods of time of such at least one plurality of timeframes;m) at least one computer processor adapted for automatically notifying such at least one trader of such results of such comparison for each of such at least one plurality of such periods of time for such at least one plurality of timeframes; and n) at least one computer processor adapted for automatically notifying such at least one trader when such at least one reversal of such “
greater-lesser relationship”
occurs in at least two such discrete periods of time. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification