FundSpec: Financial Models FundSpec: Financial Models Free Get
FundSpec: Financial Models

FundSpec: Financial Models

1.1.0 for iPhone, iPad
Free
0

0 Ratings

Release Date

2019-06-21

Size

67.9 MB

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FundSpec: Financial Models Description
Get all the latest Financial News, Social Media Chatter, access to some of the most Sophisticated Financial Models in the industry and the ability to build your own custom models all in one app.

Fundamental Speculation gives you access to our unique Relative Value Model which determines fair value based on a cohort of comparable companies with business fundamentals most similar to the target company in a large N-dimensional feature space of fundamental features. For more information, please see: https://fundamentalspeculation.io/model_rvm

We have trained our Deep Neural Network (DNN) to identify bullish/bearish patterns based on 20 years of price action and volume data from 1996-2016 over hundreds of stocks. For more information, please see: https://fundamentalspeculation.io/model_momentum

You will also be able to build your own sophisticated Discounted Cashflow Models, Relative Value Models, Scenario Analysis Models and Deep Learning Pattern Match Models.

Discounted Cashflow Models (DCF): We support single/multi-stage models with custom terminal values based on exit multiples (Price/Earnings, Price/Sales, Price/FCF). Our App will walk you though every step of the process allowing you to build a sophisticated model in simple, easy steps.

Relative Value Models: We allow you to build relative value models either by manually specifying the comparable companies or using our sophisticated algorithm to determine the cohort of companies. Our algorithm identifies the companies most similar to your target company in a large N-dimensional feature space of fundamental features specified by you. You will also pick the metrics you want to use to determine fair value.

Scenario Analysis Models: Scenario Analysis allows you to specify multiple Bull/Bear scenarios for the business fundamentals of the target company and our sophisticated algorithm will determine fair value metrics for each scenario and discount it back to a fair value for the company today based on your required rate of return.

Deep Learning Pattern Match Models: Neural Networks are a very powerful tool to find patterns in data. Build your own custom Deep Learning models to find patterns in price action and volume data of individual stocks in simple, easy to understand steps.

Supported Activation Functions: Linear, Sigmoid, Hard Sigmoid, TanH, ReLU, Softsign, Softplus, ELU, Softmax

Supported Optimizers: Stochastic gradient descent (SGD), RMSProp, Adagrad, Adadelta, Adam, Adamax, Nadam

Supported Loss Functions: Mean Squared Error, Mean Absolute Error, Mean Squared Logarithmic Error (MSLE), Log-Cosh, Poisson, Cosine Proximity, Binary Cross-Entropy

The App also supports an in-app purchase allowing you to purchase an auto-renewable FundSpec Unlimited monthly subscription for $14.99 per month. The payment will be charged to your iTunes Account at confirmation of purchase. The subscription gives you the access to build your own custom models and access historic data from our models. This subscription, once purchased, will auto-renew automatically every month unless you disable it in your settings at least 24-hours before the end of the current period. You can manage your subscription and auto-renewal can be turned off after purchase by going to your Account Settings. We also offers a free one week trial to new subscribers. If you do not cancel your subscription 24-hours prior to expiration of the free trial, you will be charged the monthly fee for the next period. For more information, please see our terms of use at https://fundamentalspeculation.io/termsofuse.
FundSpec: Financial Models 1.1.0 Update
2019-06-21 Version History
Introducing custom Deep Learning Models! Build your own custom Neural Network based pattern match models to identify bullish/bearish patterns in price action data.
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More Information
Price:
Free
Version:
1.1.0
Size:
67.9 MB
Genre:
Business
Release Date:
2019-06-21
Developer:
Vembar, LLC
Language:
English
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