How to purchase Carries In Singapore | Step By Step Educational course

In this video, I will be giving you a step by step tutorial on how to buy stocks in Singapore. Starting from finding a brokerage, opening an account, and buying stocks itself. Enjoy!

To open a CDP account: https://investors.sgx.com/dashboard
Dollar and sense brokerage comparison: https://dollarsandsense.sg/singapore-stock-brokerage-house-comparison/

►‌ ‌Additional‌ ‌cashback‌ ‌with‌ ‌Shopback:‌ ‌
https://app.shopback.com/sgp?raf=vdv5G9&slug=referred-signup-bonus‌ ‌
►‌ Download Shopee and get off your first purchase with my code AHVIN223: https://shp.ee/ktxkscp?smtt=0.0.7
►‌ ‌Credit‌ ‌card‌ ‌cashbacks‌ ‌with‌ ‌Fave:‌ ‌https://myfave.com/invite/R2PYT?city=singapore
►‌ ‌Convert‌ ‌credit‌ ‌card‌ ‌payments‌ ‌to‌ ‌cash‌ ‌payments‌ ‌with‌ ‌CardUp:‌ ‌Use‌ ‌“KELVINT928″‌ ‌to‌
signup‌ ‌at‌ ‌https://www.cardup.co/‌ ‌and‌ ‌get‌ ‌0‌ ‌off‌
►‌ ‌Tuas‌ ‌Referral‌ ‌Code:‌ ‌‌RCC4AAF‌
►‌ ‌Free Tiger Brokers stock vouchers: https://www.tigersecurities.com/accounts?invite=11JAQW

0:00 – Introduction
0:54 – Finding Brokerage
4:04 – Open Account
4:45 – Buying Stocks

Valuable time Show Breakdown and Predict – Educational course 4 how to TSAF (Example one(1))

To download the TSAF GUI, please click here:
http://www.mathworks.com/matlabcentral/fileexchange/54276-time-series-analysis-and-forecast

Please check out www.sphackswithiman.com for more tutorials.

TensorFlow Educational course #23 Time-Series Assessment

How to predict time-series data using a Recurrent Neural Network (GRU / LSTM) in TensorFlow and Keras. Demonstrated on weather-data.

https://github.com/Hvass-Labs/TensorFlow-Tutorials

How to represent data for time series neural networks. This includes recurrent neural network (RNN) types of LSTM and GRU. This video is part of a course that is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at Washington University in St. Louis

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More links:
Complete course: https://sites.wustl.edu/jeffheaton/t81-558/
Complete playlist: https://www.youtube.com/playlist?list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN