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A big data visualization system and method for investment portfolio

A technology of big data and data, applied in the field of investment portfolio evaluation, to achieve the effect of reducing risk loss or income loss, good visualization effect and high efficiency

Active Publication Date: 2022-02-01
上海卡方信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the rapid development of computer and Internet technology and the emergence of big data technology, it provides conditions for big data to be used in investment portfolio systems and methods. However, there is currently no investment portfolio system and methods based on big data in the market

Method used

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  • A big data visualization system and method for investment portfolio

Examples

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Comparison scheme
Effect test

Embodiment 1

[0044] Choose HP EliteDesk880G2 TWR (i7 / 4G / 1T / core display) desktop computer, pre-installed Windows7Home Basic 32bit operating system, motherboard chipset Intel Q170, Intel processor Core i7 6700, CPU frequency 3.4GHz, maximum turbo frequency 4000MHz, bus specification DMI 8 GT / s, L3 cache 8MB, display size 21.5 inches, display resolution 1920x1080, core architecture Skylake, four cores / eight threads cores / threads, memory capacity 4GB, memory type DDR4 2133MHz, hard disk capacity 1TB, hard disk speed 7200 RPM, DVD burner, core graphics chip Intel GMA HD 530, video memory capacity shared memory capacity, wireless network card supports 802.11a / b / g / n wireless protocol, wired network card 1000Mbps Ethernet card, Bluetooth supports Bluetooth 4.0, data interface 2 ×USB2.0+8×USB3.0, headphone / microphone dual-purpose audio interface, video interface VGA, network interface RJ45 (network interface), chassis type vertical; text data adopts digital scanner, cooperates with optical characte...

Embodiment 2

[0047] Choose a disk array with 24 single-machine disks, hard disk speed 15000rpm, 10000rpm, nearline 7200rpm; SAN can be connected to 8Gbps Fiber Channel, 1Gbps iSCSI and optional 10Gbps iSCSI / FCoE, NAS can be connected to 1Gbps and 10Gbps Ethernet; RAID support RAID0, 1, 5, 6 and 10; built-in hard disk interface SAS, supporting 40 per control chassis; 960 per cluster system management software: Storwize V7000 and Storwize V7000 Unified software length 630mm; width 483mm, height 87.9mm, product The highest weight configuration: 29.6kg; the database server is connected to the central server through FDDI fiber, connected to the server cluster through FDDI fiber, the processor type is POWER7, the main frequency of the processor is 3.3 / 3.55 / 3.7GHz, and each processor cache Core 256KB L2 cache, 4MB L3 cache, memory type DDR3, maximum memory capacity 256GB, hard disk type SAS, optical drive DVD-RAM, 4 Gigabit or 2 10 Gigabit Ethernet ports; I / O ports include 3×USB Ports, 2×HMC port...

Embodiment 3

[0050] Data analysis module 300, the server adopts AMD Opteron 6172 AMD SBE-714E-7142G-T4 double blade server, CPU model is AMD Opteron 6172, CPU type AMD Opteron 6000, CPU frequency 2.1GHz, standard configuration The number of CPUs is 8, the maximum number of CPUs is 56; the third-level cache is 12MB, the bus specification is FSB 3200MHz, the core of the CPU is 12 cores (Magny-Cours), the motherboard chipset is AMD SR5650+SP5100, memory type: ECC DDR3, memory capacity : 32GB, the number of memory slots is 32, the maximum memory capacity is 3584GB; the hard disk interface type is SATA, the standard hard disk capacity is 2TB, the hard disk uses four 500GB 2.5-inch SATA hard disks, and the number of internal hard disk racks supports a maximum of eight 2.5-inch hot-swappable SATA hard disks , support hot swap; RAID mode RAID 0, 1, using Intel 82576 Gigabit network card; up to 8 cooling fans, up to 14 blade systems, standard subsystem model SBA-7142G-T4, 2 standard configurations; ...

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Abstract

A big data visualization system and method for an investment portfolio, including a data collection module, a distributed database, a data analysis module, a big data centralized storage pool, a big data visualization driver and a push module; past data is collected and stored in the data collection module For the corresponding distributed database, the data analysis module extracts data from distributed databases in various places, performs big data analysis, and transfers the results to the big data centralized storage pool for storage, generates an intuitive graphical interface through big data visualization drive, and then passes The push module delivers the results to the user. The data information it provides is complete, which is helpful to improve the efficiency of the investment portfolio, and can quantitatively evaluate the performance of the investment portfolio; in addition, the visualization effect is good, and it can handle complex, multi-variety, emerging varieties and other investment portfolios. Investment style tailor-made investment portfolio solutions for them.

Description

technical field [0001] The invention relates to the technical field of investment portfolio evaluation, in particular to a large data visualization system and method for investment portfolios. Background technique [0002] The purpose of investment portfolio is to select a variety of securities and other assets to form investment portfolios according to the needs of investors, and then manage these portfolios to achieve investment goals. The needs of investors are often defined according to risk, income, rate of return, etc., while the task of portfolio managers is to maximize the returns of different investments under the condition of bearing certain risks. Under the condition of the rapid development of computer and Internet of Things technology, informationized and intelligent investment portfolio system has gradually come out, which greatly improves the convenience and accuracy of people's investment. All kinds of investment portfolio software can store information in v...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/27G06F16/248G06F16/2458G06Q40/06
CPCG06Q40/06
Inventor 蔡政英屈静杨丹妮
Owner 上海卡方信息科技有限公司
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