gellinn / pro-trades Goto Github PK

https://twelvedata.com/docs

REPRO:
on Windows, VS 2022 happens if there's new npm packages for ClientApp, not updated (npm install) before running the application from VS.

Could be Bash or Powershell or even NodeJS for this.

• Frontend/npm install
• dotnet build (solution)
• dotnet ef database drop -c PTContext
• dotnet ef migrations add InitialCreate -c PTContext
• dotnet ef database update -c PTContext
• generate-models (something custom here to generate TS models from C# request models)
• run app by executing the app from the bin/debug build folder

First, create a new AuthController. Then, add the following endpoints:

• POST endpoint method for "api/auth/Login", "api/auth/Register", "api/auth/ForgotPassword", and "api/auth/ResetPassword"
• GET endpoint method for "api/auth/CheckSession/"

Frontend:

• If IsEmailValidated is false, user should see a "Please Validate your Email" message and be prevented from navigating (TBD, maybe we'll have public pages or something)
• Add ValidateEmail page which would be linked to from email. Navigating to this page would hit ValidateEmail endpoint with some temporary, 1 time use token

Backend:

• Add IsEmailValidated to User
• Protect endpoints by ensuring IsEmailValidated is true
• Add RequestValidateEmail endpoint which will send an email with a temporary token to be used & verified in ValidateEmail
• Add ValidateEmail endpoint which will validate token and set IsEmailValidated to true

This should include validation of up-to-date financials, normal listing status within the company's exchange (i.e. nasdaq symbols are sometimes listed as 'delinquent').
This should include some kind of normalization for the PE ratio (price to earnings) with historical data taken into account.
This should include historical Earnings data and whether or not they beat or missed.
This should possibly include other rankings by other companies (zachs, morningstar, researchteam, ford equity research, benzinga, etc) wrapped into the score.
This score should outweigh the other scores in the Composite.

Do it using Nasdaq RSS feeds, TipRanks sentiment analysis API, Twitter API, and C# Vader NLP Sentiment Analysis Nuget Pkg.

Slamboni

https://www.investopedia.com/articles/technical/100801.asp
https://www.fmlabs.com/reference/default.htm?url=OBV.htm

Design a transform formula for the On-Balance Volume Indicator into a Composite Score 0-100

Should be the same as the PimService I built at Cutter & Buck

Depends on cacheing library being implemented. UI development will be a major part of completing this item.

https://docs.microsoft.com/en-us/aspnet/core/tutorials/getting-started-with-swashbuckle?view=aspnetcore-3.1&tabs=visual-studio

https://www.investopedia.com/articles/active-trading/042114/overbought-or-oversold-use-relative-strength-index-find-out.asp

Design a transform formula for the Relative Strength Index Indicator into a Composite Score 0-100

Ratings from TipRanks API, Zacks, and Financial Modeling Prep so far.

FMP may be recycling data from some other providers so I will dig in deeper to make sure I have the right breadth and depth in my data providers.

Someone will probably help me do this by providing mock-ups

Something like BuySignalsFound (int), SellSignalsFound(int), or a list of Signal objects that have more information, like where the buy or sell signal came from in indicator analysis, or what date the signal was for.

https://www.investopedia.com/articles/technical/04/030304.asp

Design a transform formula for the Bollinger Bands Indicator into a Composite Score 0-100

https://www.investopedia.com/investing/timing-trades-with-commodity-channel-index/

Design a transform formula for the CCI Indicator into a Composite Score 0-100