All Projects → JerBouma → FundamentalsQuantifier

JerBouma / FundamentalsQuantifier

Licence: GPL-3.0 License
A tool that allows you to visually compare the fundamentals of over 6,000 companies.

Programming Languages

python
139335 projects - #7 most used programming language
CSS
56736 projects

Projects that are alternatives of or similar to FundamentalsQuantifier

netdata-java-orchestrator
Netdata Java Plugin Daemon
Stars: ✭ 27 (-86.15%)
Mutual labels:  metrics
sensu-plugins-memory-checks
This plugin provides native memory instrumentation for monitoring and metrics collection, including: memory usage via `free` and `vmstat`, including metrics. Note that this plugin may have cross-platform issues.
Stars: ✭ 15 (-92.31%)
Mutual labels:  metrics
metrics
IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Stars: ✭ 91 (-53.33%)
Mutual labels:  metrics
freshli-lib
A tool for collecting historical metrics about a project's dependencies
Stars: ✭ 12 (-93.85%)
Mutual labels:  metrics
java-metrics
No description or website provided.
Stars: ✭ 31 (-84.1%)
Mutual labels:  metrics
jail exporter
A Prometheus exporter for FreeBSD jail metrics
Stars: ✭ 21 (-89.23%)
Mutual labels:  metrics
cimetrics
Track your metrics in GitHub PR to avoid unwanted regressions
Stars: ✭ 13 (-93.33%)
Mutual labels:  metrics
laravel-service-container
Laravel Service Container
Stars: ✭ 29 (-85.13%)
Mutual labels:  fundamentals
webperf-dashboard
Web Performance Dashboard forked from https://github.com/boyney123/garie
Stars: ✭ 51 (-73.85%)
Mutual labels:  metrics
Okanshi
mvno.github.io/okanshi
Stars: ✭ 14 (-92.82%)
Mutual labels:  metrics
splunk-otel-java
Splunk Distribution of OpenTelemetry Java
Stars: ✭ 39 (-80%)
Mutual labels:  metrics
Machine-Learning-for-Stock-Recommendation-IEEE-2018
A Practical Machine Learning Approach for Dynamic Stock Recommendation. IEEE TrustCom 2018.
Stars: ✭ 27 (-86.15%)
Mutual labels:  fundamental-analysis
selectel-exporter
No description or website provided.
Stars: ✭ 25 (-87.18%)
Mutual labels:  metrics
sensu-plugins-aws
This plugin provides native AWS instrumentation for monitoring and metrics collection, including: health and metrics for various AWS services, such as EC2, RDS, ELB, and more, as well as handlers for EC2, SES, and SNS.
Stars: ✭ 79 (-59.49%)
Mutual labels:  metrics
frontendQuickbytes
A repo containing real life frontend challenges which you can use to practice frontend!
Stars: ✭ 129 (-33.85%)
Mutual labels:  fundamentals
javametrics
Application Metrics for Java™ instruments the Java runtime for performance monitoring, providing the monitoring data visually with its built in dashboard
Stars: ✭ 19 (-90.26%)
Mutual labels:  metrics
ModelMetrics
Rapid Calculation of Model Metrics
Stars: ✭ 29 (-85.13%)
Mutual labels:  metrics
aws-ec2-sg-exporter
A dockerized Prometheus exporter that compares desired/wanted IPv4/IPv6 CIDR against currently applied inbound CIDR rules in your security group(s).
Stars: ✭ 23 (-88.21%)
Mutual labels:  metrics
sonar-fsharp-plugin
F# SonarQube (TM) plugin - support for F#
Stars: ✭ 46 (-76.41%)
Mutual labels:  metrics
resilience4clj-circuitbreaker
Resilience4Clj circuit breaker lets you decorate a function call (usually with a potential of external failure) with a safety mechanism to interrupt the propagation of failures.
Stars: ✭ 40 (-79.49%)
Mutual labels:  metrics

Fundamentals Quantifier

This is the source code of the website: https://fundamentals-quantifier.herokuapp.com/

The Fundamentals Quantifier is a tool that allows you to visually compare the fundamentals of over 6,000 companies. You can filter the companies based on Sector and/or Industry. Thereby, it is possible to make a selection of companies that are closely related to each other making comparison a valuable insight.

The key to investing is not assessing how much an industry is going to affect society, or how much it will grow, but rather determining the competitive advantage of any given company and, above all, the durability of that advantage. - Warren Buffet

The following data can be collected for each company (linear and log):

  • Stock Data: daily adjusted close prices over a 10 year period for each individual company.
  • Key Metrics: the most important metrics. This includes, among other things, the Price-to-Earnings ratio and Debt to Equity ratio. All of these metrics can be displayed either annually or quarterly.
  • Financial Ratios: an extensive list of ratios that covers pretty much all of the most used ratios. This data can only displayed on an annual basis.
  • Financial Statements: a collection of financial statements over the last 10 years. You have the option to display the data annually (10 years) and quarterly (40 quarters). This includes the Balance Sheet Statement, Income Statement and Cash Flow Statement. Furthermore, growth of each item is also captured over set time intervals.

Thanks to Dash and Plotly, graphs are fully interactive. For example, by clicking the tickers in the legenda, you can remove (and add) companies from each graph as well as zoom into the graph by making a selection. Data is collected through the package FundamentalAnalysis.

Note that I am not responsible for any investment loss (or gain) you make thanks to this interface.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].