A system is provided for automatically generating and displaying market analysis related to financial assets whereby the analysis is provided for substantially all financial assets. The system includes a computer, database accessible by the computer and having stored thereon historical and real time data relating to a financial asset, and software executing on the computer for generating and displaying market analysis. The market analysis may, but not necessarily, include historical and real time data, a measure of liquidity and volatility of a financial asset, a measure of a financial assets historical performance, an analysis of a financial assets return in relation to its risk, and computed correlation coefficients and analysis of relationships between a financial asset and its market or market sectors.
Low Bias Method For Estimating Small Signal-To-Noise Ratio
Bin Li - Ronkonkoma NY Robert A. DiFazio - Greenlawn NY Ariela Zeira - Huntington NY
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
H04B 1700
US Classification:
375227, 375346
Abstract:
A method for estimating signal-to-noise ratio (SNR) using a method with low bias that is effective for both positive SNRs and small to negative SNRs. The method is based on an iterative solution for the maximum likelihood estimate of the amplitude from which the SNR can be computed. The method is applicable for various modulated systems, including BPSK, QPSK and MPSK.
A process for implementing a market neutral relative value strategy to provide up-to-the-minute equity trading recommendations includes selecting pairtrades, each having both high correlation coefficient and high de-trended correlation coefficient. The de-trended coefficient is determined for a time interval selected such that a starting price of one of the stocks of a pairtrade is substantially equal its ending price. The process further includes calculating an optimal financial hedge ratio by determining regression slopes of the stocks in each selected pairtrade with respect to one another. The selected pairs are further compared with a plurality of templates to select only valid pairtrades whose amplitude and number of crosses through and deviations from the regression line match at least one of the templates. Applying a modified LaGrange-Urenbeck process to determine the optimal cut-loss and profit taking boundaries further optimizes each of the valid pairtrades.
Algorithm For Multiple-Symbol Differential Detection
Bin Li - Ronkonkoma NY, US Robert A. DiFazio - Greenlawn NY, US Donald M. Grieco - Manhassett NY, US Ariela Zeira - Huntington NY, US
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
H04L 2722 H04L 2302 H04B 1707
US Classification:
375329, 375206, 375262
Abstract:
A method for differential phase evaluation of M-ary communication data is employed in which the data consists of N sequential symbols r. . . r, each having one of M transmitted phases. Selected sequences of N−1 elements that represent possible sequences of phase differentials are evaluated using multiple-symbol differential detection. Using ras the reference for each phase differential estimate, sphase differential sequences are selected in the form (P, P,. . . , P) for i=1 to s for evaluating said symbol set, where s is predetermined and 1
Automated Investment Chart Pattern Search System For Technical Analysis
An automated investment chart pattern search system is provided. The system includes a computer, a historical information database accessible by the computer having historical information for a plurality of investments stored thereon, a connection to a supply of real-time data, the real time data comprising real-time data relating to a plurality of investments, and a templates database accessible by the computer having a plurality of templates stored thereon. Software executing on the computer generates an investment chart for the investment to be examined based upon the historical information and the real-time data relating to the investment to be examined. Software executing on the computer then retrieves at least one template from the templates database, and performs geometric projection analysis on the retrieved template and the investment chart to determine if a pattern exists in the investment chart. Next, software executing on the computer retrieves at least one template from the templates database, and performs template matching analysis on the retrieved template and the investment chart to determine if a pattern exists in the investment chart. Software executing on the computer then performs projection line analysis on the investment chart to determine if a pattern exists in the investment chart.
Channel Gain Estimation In A Rake Receiver Using Complex Weight Generation (Cwg) Algorithms
A channel estimation method which reduces the strain on resources of a Rake receiver using a complex weight gain (CWG) algorithm. In one embodiment, a non-adaptive algorithm is used to average blocks of pilot symbols from several slots. In another embodiment, an adaptive algorithm implements sliding window averaging or a recursive filter. Using a CWG algorithm reduces the memory and processor requirements of the Rake receiver.
High Performance Wireless Receiver With Cluster Multipath Interference Suppression Circuit
Bin Li - Ronkonkoma NY, US Rui Yang - Greenlawn NY, US Alexander Reznik - Titusville NJ, US Ariela Zeira - Huntington NY, US
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
H04B 1/10 H04B 7/216
US Classification:
375349, 370342
Abstract:
A receiver which suppresses inter-cluster multipath interference by processing an impulse channel response consisting of two multipath clusters, each cluster having groups of signals with multiple delays. In one embodiment, the receiver includes a single antenna and parallel-connected delay units used to align the groups of signals before being input into respective sliding window equalizers. The outputs of the equalizers are combined at chip level via a combiner which provides a single output. In another embodiment, a Cluster Multipath Interference Suppression (CMIS) circuit is incorporated into the receiver. The CMIS circuit includes a hard decision unit and a plurality of signal regeneration units to generate replicas of the multipath clusters. The replicas are subtracted from the respective outputs of the delay units and the results are input to the respective sliding window equalizers. In another embodiment, multiple antennas are used to receive and process the clusters.
Rake-Based Cdma Receivers For Multiple Receiver Antennas
Bin Li - Ronkonkoma NY, US Alexander Reznik - Titusville NJ, US
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
H04B 15/00 H04K 1/00 H04L 27/30
US Classification:
375140
Abstract:
A receiver comprises a plurality of antenna elements for receiving a data signal. Each antenna element has a plurality of Rake fingers. Each Rake finger processes a received multipath component of the received data signal of its antenna element by applying a complex weight gain to that received multipath component. A complex weight gain generator determines the complex weight gain for each Rake finger for each antenna element using an input from all the Rake fingers. A summer combines an output of each Rake finger to produce an estimate of the data signal.
Jun 2013 to 2000 Graphic DesignerREMODEL2 SYMPOSIUM
2010 to 2000 FREELANCEWSDEN HOME TEXTILE Changsha, CN Feb 2011 to Jan 2012 Commercial advertising design for marketingCHENGWEI ANIMATION Changsha, CN 2010 to 2011 Graphic Designer / 3D Modeling Tutor
Education:
Claremont Graduate University 2014 M.F.A in Fine ArtQing Dao University 2009 B.A in Graphic design
Skills:
Adobe Suite (InDesign, Illustrator, Photoshop) Maya Cinema 4D After Effects Microsoft Office Suite