Symbol | Ratios Summary | Sector | LTP | Undervalued | Bonus % |
---|---|---|---|---|---|
MEGA | Strong | Commercial Banks | 368 | 5 | 10 |
JBBL | Strong | Development Banks | 568 | 5 | 10 |
SIFC | Strong | Finance | 620 | 5 | 7.37 |
GBBL | Strong | Development Banks | 657 | 5 | 13.5 |
RLFL | Strong | Finance | 690 | 5 | 10 |
EIC | Strong | Non Life Insurance | 819 | 5 | 8 |
SLICL | Strong | Life Insurance | 961 | 5 | 5 |
PLIC | Strong | Life Insurance | 990 | 5 | 7 |
NICL | Strong | Non Life Insurance | 1037 | 5 | 8 |
MERO | Strong | Microfinance | 1607 | 5 | 16.9399 |
WOMI | Strong | Microfinance | 1685 | 5 | 30 |
SADBL | Medium | Development Banks | 522 | 5 | 5 |
NIB | Strong | Commercial Banks | 460 | 4 | 13 |
GBIME | Strong | Commercial Banks | 463 | 4 | 14 |
PCBL | Strong | Commercial Banks | 514 | 4 | 15 |
NBL | Strong | Commercial Banks | 528 | 4 | 12 |
ADBL | Strong | Commercial Banks | 569 | 4 | 15 |
SHPC | Strong | Hydro Power | 587 | 4 | 10 |
CHCL | Strong | Hydro Power | 676 | 4 | 10 |
MNBBL | Strong | Development Banks | 765 | 4 | 11.25 |
PRIN | Strong | Non Life Insurance | 989 | 4 | 10 |
NGPL | Strong | Hydro Power | 1039 | 4 | 20 |
MFIL | Strong | Finance | 1308 | 4 | 18 |
NIL | Strong | Non Life Insurance | 1548 | 4 | 15.5 |
DDBL | Strong | Microfinance | 1764 | 4 | 15 |
FOWAD | Strong | Microfinance | 2990 | 4 | 25 |
KBL | Medium | Commercial Banks | 370 | 4 | 10.85 |
BOKL | Medium | Commercial Banks | 387 | 4 | 13 |
TRH | Medium | Hotels and Tourism | 406 | 4 | 0 |
SBL | Medium | Commercial Banks | 539 | 4 | 12 |
SHINE | Medium | Development Banks | 563 | 4 | 13 |
BPCL | Medium | Hydro Power | 587 | 4 | 10 |
GMFIL | Medium | Finance | 639 | 4 | 8 |
GFCL | Medium | Finance | 864 | 4 | 8.4 |
NLG | Medium | Non Life Insurance | 1100 | 4 | 10 |
SIL | Medium | Non Life Insurance | 1135 | 4 | 12 |
NTC | Medium | Others | 1199 | 4 | 0 |
PIC | Medium | Non Life Insurance | 1292 | 4 | 0 |
SLBBL | Medium | Microfinance | 1517 | 4 | 12.3907 |
CBBL | Medium | Microfinance | 1856 | 4 | 22 |
SKBBL | Medium | Microfinance | 1975 | 4 | 25 |
VLBS | Weak | Microfinance | 1829 | 4 | 19 |
NBB | Strong | Commercial Banks | 470 | 3 | 6 |
SANIMA | Strong | Commercial Banks | 525 | 3 | 10 |
RRHP | Strong | Hydro Power | 605 | 3 | -1 |
LBBL | Strong | Development Banks | 666 | 3 | 7 |
KPCL | Strong | Hydro Power | 700 | 3 | -1 |
AKPL | Strong | Hydro Power | 789 | 3 | 17 |
SIC | Strong | Non Life Insurance | 1490 | 3 | 11 |
NMBMF | Strong | Microfinance | 1491 | 3 | 19 |
NUBL | Strong | Microfinance | 1673 | 3 | 13 |
SDLBSL | Strong | Microfinance | 1875 | 3 | 18 |
BBC | Strong | Tradings | 6327 | 3 | -1 |
CCBL | Medium | Commercial Banks | 279 | 3 | 5.25 |
KKHC | Medium | Hydro Power | 357 | 3 | -1 |
SINDU | Medium | Development Banks | 528 | 3 | 11.4851 |
BFC | Medium | Finance | 549 | 3 | 20 |
SPDL | Medium | Hydro Power | 559 | 3 | 10 |
API | Medium | Hydro Power | 560 | 3 | 10.5 |
OHL | Medium | Hotels and Tourism | 610 | 3 | 5 |
MLBL | Medium | Development Banks | 672 | 3 | 8.8 |
MDB | Medium | Development Banks | 735 | 3 | 15 |
KSBBL | Medium | Development Banks | 745 | 3 | 4.4 |
PICL | Medium | Non Life Insurance | 831 | 3 | 8 |
GBLBS | Medium | Microfinance | 1283 | 3 | -1 |
GUFL | Medium | Finance | 1443 | 3 | 7 |
SMATA | Medium | Microfinance | 1615 | 3 | 20 |
MMFDB | Medium | Microfinance | 1839 | 3 | 20 |
ALBSL | Medium | Microfinance | 1940 | 3 | 15 |
LLBS | Medium | Microfinance | 2255 | 3 | 15 |
GILB | Medium | Microfinance | 2530 | 3 | 27.47 |
SMFBS | Medium | Microfinance | 2613 | 3 | 20 |
HDL | Medium | Microfinace | 7171 | 3 | 50 |
LBL | Weak | Commercial Banks | 389 | 3 | 9 |
NLBBL | Weak | Microfinance | 1600 | 3 | 8 |
CZBIL | Medium | Commercial Banks | 409 | 2 | 8 |
NMB | Medium | Commercial Banks | 456 | 2 | 13 |
PPCL | Medium | Hydro Power | 520 | 2 | -1 |
UMHL | Medium | Hydro Power | 521 | 2 | 0 |
PLI | Medium | Life Insurance | 762 | 2 | -1 |
UIC | Medium | Non Life Insurance | 795 | 2 | 10 |
CHDC | Medium | Investment | 1350 | 2 | -1 |
RURU | Medium | Hydro Power | 1550 | 2 | 10 |
ACLBSL | Medium | Microfinance | 1650 | 2 | 8.85 |
BNL | Medium | Microfinace | 1904 | 2 | 0 |
SABSL | Medium | Microfinance | 2022 | 2 | 10.5 |
MLBBL | Medium | Microfinance | 2169 | 2 | 12 |
UNL | Medium | Microfinace | 19580 | 2 | 0 |
SHL | Weak | Hotels and Tourism | 269 | 2 | 15 |
CBL | Weak | Commercial Banks | 277 | 2 | 8 |
NCCB | Weak | Commercial Banks | 354 | 2 | 10.2695 |
SRBL | Weak | Commercial Banks | 364 | 2 | 5.8 |
HDHPC | Weak | Hydro Power | 375 | 2 | -1 |
PMHPL | Weak | Hydro Power | 385 | 2 | -1 |
GHL | Weak | Hydro Power | 414 | 2 | -1 |
MBL | Weak | Commercial Banks | 418 | 2 | 7.03 |
LEC | Weak | Hydro Power | 435 | 2 | -1 |
NHPC | Weak | Hydro Power | 441 | 2 | -1 |
HIDCL | Weak | Investment | 450 | 2 | 0 |
SJCL | Weak | Hydro Power | 450 | 2 | -1 |
PRVU | Weak | Commercial Banks | 459 | 2 | 10 |
RHPL | Weak | Hydro Power | 459 | 2 | -1 |
PROFL | Weak | Finance | 487 | 2 | -1 |
KRBL | Weak | Development Banks | 500 | 2 | 8 |
BARUN | Weak | Hydro Power | 630 | 2 | 5 |
JFL | Weak | Finance | 697 | 2 | 22 |
RADHI | Weak | Hydro Power | 832 | 2 | 36.5 |
LGIL | Weak | Non Life Insurance | 880 | 2 | 5 |
NICA | Weak | Commercial Banks | 940 | 2 | 19 |
RSDC | Weak | Microfinance | 1033 | 2 | 9 |
ICFC | Weak | Finance | 1177 | 2 | 10.5 |
FMDBL | Weak | Microfinance | 1192 | 2 | 9.5 |
NLICL | Weak | Life Insurance | 1210 | 2 | 10 |
IGI | Weak | Non Life Insurance | 1235 | 2 | 7 |
ALICL | Weak | Life Insurance | 1419 | 2 | 4 |
CLBSL | Weak | Microfinance | 1500 | 2 | 3.5 |
SLBSL | Weak | Microfinance | 1518 | 2 | 32 |
KLBSL | Weak | Microfinance | 1647 | 2 | -1 |
RMDC | Weak | Microfinance | 1692 | 2 | 15 |
SHIVM | Weak | Microfinace | 1699 | 2 | 0 |
GMFBS | Weak | Microfinance | 1740 | 2 | 15 |
SWBBL | Weak | Microfinance | 1865 | 2 | 19.0057 |
NLIC | Weak | Life Insurance | 1903 | 2 | 31 |
SICL | Weak | Non Life Insurance | 1995 | 2 | 27.769 |
USLB | Weak | MICROFINANCE | 2250 | 2 | 17.8104 |
LICN | Weak | Life Insurance | 2400 | 2 | 10 |
SMB | Weak | Microfinance | 2661 | 2 | 10 |
CIT | Weak | Investment | 3880 | 2 | 9 |
RLI | Medium | Life Insurance | 678 | 1 | -1 |
HGI | Medium | Non Life Insurance | 827 | 1 | 3 |
NRN | Medium | Investment | 895 | 1 | 2.85 |
RHPC | Medium | Hydro Power | 1034 | 1 | 5 |
NABIL | Medium | Commercial Banks | 1459 | 1 | 33.5 |
NRIC | Medium | Others | 1562 | 1 | 16.5 |
MSLB | Medium | Microfinance | 2160 | 1 | 20 |
DHPL | Weak | Hydro Power | 380 | 1 | -1 |
SBI | Weak | Commercial Banks | 392 | 1 | 6 |
SSHL | Weak | Hydro Power | 436 | 1 | -1 |
NIFRA | Weak | Investment | 451 | 1 | -1 |
SAPDBL | Weak | Development Banks | 470 | 1 | 6 |
GRDBL | Weak | Development Banks | 470 | 1 | 3.8 |
UNHPL | Weak | Hydro Power | 476 | 1 | -1 |
UPCL | Weak | Hydro Power | 504 | 1 | -1 |
HURJA | Weak | Hydro Power | 518 | 1 | -1 |
GLH | Weak | Hydro Power | 535 | 1 | -1 |
MHNL | Weak | Hydro Power | 550 | 1 | -1 |
CHL | Weak | Hydro Power | 571 | 1 | 5 |
MPFL | Weak | Finance | 590 | 1 | 12 |
AHPC | Weak | Hydro Power | 655 | 1 | 5 |
NHDL | Weak | Hydro Power | 690 | 1 | 15 |
UMRH | Weak | Hydro Power | 695 | 1 | -1 |
UPPER | Weak | Hydro Power | 755 | 1 | -1 |
JLI | Weak | Life Insurance | 761 | 1 | -1 |
CFCL | Weak | Finance | 765 | 1 | 7 |
GLICL | Weak | Life Insurance | 769 | 1 | 5.50042 |
PFL | Weak | Finance | 795 | 1 | 5 |
NABBC | Weak | Development Banks | 940 | 1 | -1 |
EDBL | Weak | Development Banks | 1080 | 1 | 12 |
KMCDB | Weak | Microfinance | 1371 | 1 | 10 |
MEN | Weak | Hydro Power | 1400 | 1 | -1 |
CGH | Weak | Hotels and Tourism | 1480 | 1 | -1 |
SLBS | Weak | Microfinance | 1806 | 1 | 15.3458 |
NSLB | Weak | Microfinance | 1808 | 1 | -1 |
ILBS | Weak | Microfinance | 1878 | 1 | 14.25 |
NMFBS | Weak | Microfinance | 3352 | 1 | 21 |
JSLBB | Weak | Microfinance | 3505 | 1 | 49.4 |
MLBSL | Weak | Microfinance | 4998 | 1 | -1 |
STC | Weak | Tradings | 9756 | 1 | 20 |
AKJCL | Weak | Hydro Power | 392 | 0 | -1 |
JOSHI | Weak | Hydro Power | 396 | 0 | -1 |
SCB | Weak | Commercial Banks | 570 | 0 | 7 |
HPPL | Weak | Hydro Power | 579 | 0 | -1 |
SHEL | Weak | Hydro Power | 592 | 0 | -1 |
SFCL | Weak | Finance | 625 | 0 | -1 |
NFS | Weak | Finance | 696 | 0 | 22 |
GIC | Weak | Non Life Insurance | 744 | 0 | -1 |
EBL | Weak | Commercial Banks | 748 | 0 | 5 |
SGI | Weak | Non Life Insurance | 748 | 0 | -1 |
ULI | Weak | Life Insurance | 777 | 0 | -1 |
AIL | Weak | Non Life Insurance | 840 | 0 | -1 |
CORBL | Weak | Development Banks | 984 | 0 | -1 |
NICLBSL | Weak | Microfinance | 1532 | 0 | -1 |
SMFDB | Weak | Microfinance | 1620 | 0 | 21.09 |
GLBSL | Weak | Microfinance | 1813 | 0 | 7.61 |
BNT | Weak | Microfinace | 10750 | 0 | 0 |
RBCL | Weak | Non Life Insurance | 19976 | 0 | 114.27 |
Auto-updating data to assist in investment to NEPSE
Overview
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition.
TraND This is the code for the paper "Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang and Tao Mei: TraND: Transferable
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Pyserini Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations. Retrieval using sparse re
Implementation of GGB color space
GGB Color Space This package is implementation of GGB color space from Development of a Robust Algorithm for Detection of Nuclei and Classification of
A coin flip game in which you can put the amount of money below or equal to 1000 and then choose heads or tail
COIN_FLIPPY ##This is a simple example package. You can use Github-flavored Markdown to write your content. Coinflippy A coin flip game in which you c
[AAAI-2021] Visual Boundary Knowledge Translation for Foreground Segmentation
Trans-Net Code for (Visual Boundary Knowledge Translation for Foreground Segmentation, AAAI2021). [https://ojs.aaai.org/index.php/AAAI/article/view/16
Dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.
CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K Our dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.
Example of semantic segmentation in Keras
keras-semantic-segmentation-example Example of semantic segmentation in Keras Single class example: Generated data: random ellipse with random color o
Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]
CVPR 2021 | Activate or Not: Learning Customized Activation. This repository contains the official Pytorch implementation of the paper Activate or Not
On-device speech-to-index engine powered by deep learning.
On-device speech-to-index engine powered by deep learning.
Code for our paper: Online Variational Filtering and Parameter Learning
Variational Filtering To run phi learning on linear gaussian (Fig1a) python linear_gaussian_phi_learning.py To run phi and theta learning on linear g
Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation
TimeLens: Event-based Video Frame Interpolation This repository is about the High Speed Event and RGB (HS-ERGB) dataset, used in the 2021 CVPR paper T
A motion tracking system for any arbitaray points in a video frame.
PointTracking This code is written by Majid Masoumi @ [email prot
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2020 Links Doc
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
nsff_pl Neural Scene Flow Fields using pytorch-lightning. This repo reimplements the NSFF idea, but modifies several operations based on observation o
This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.
GoldNanoparticles This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Mode
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty Giorgio Cantarini, Francesca Odone, Nicoletta Noceti, Federi
Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.
Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.
Tensorflow implementation of DeepLabv2
TF-deeplab This is a Tensorflow implementation of DeepLab, compatible with Tensorflow 1.2.1. Currently it supports both training and testing the ResNe
PCGNN - Procedural Content Generation with NEAT and Novelty
PCGNN - Procedural Content Generation with NEAT and Novelty Generation Approach — Metrics — Paper — Poster — Examples PCGNN - Procedural Content Gener
Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.
Picasso Code to generate Picasso embeddings of any input matrix. Picasso maps the points of an input matrix to user-defined, n-dimensional shape coord