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Watch Day Trading Live – October 4, NYSE \u0026 NASDAQ Stocks
นอกจากการดูบทความนี้แล้ว คุณยังสามารถดูข้อมูลที่เป็นประโยชน์อื่นๆ อีกมากมายที่เราให้ไว้ที่นี่: ดูความรู้เพิ่มเติมที่นี่
Live from the DTTW trading floor! TRADERS with 50+ years of combined trading experience trade real money for real profits, and sometimes loss. Our multimillion dollar TV studio broadcasts the first and only professional Trading Show on YouTube Live.
Join us on YouTube Live every weekday from 8:30am to 11:00am EST to trade the NYSE, NASDAQ, CME, BOVESPA and the TORONTO STOCK EXCHANGE, TMX.
The Program in EST:
8:30 Premarket Movers What is hot! What will we trade?
9:30 Market Open Live trading till Noon.
10:00 Happening now Summary of all markets
10:03 More Live trading
10:10 Upgrades and downgrades Stocks up or down
10:13 Live trading again
10:20 Small Cap Recap See how the Small Caps doing
10:23 More Live Trading
10:31 Live Trading
10:40 Sector Watch See how different industries are doing!!
10:43 Live trading again
10:50 Money Talks Forex rates!
10:53 More Live Trading
11:00 End of show.
For stock trading tips \u0026 information for improving your trading skills, subscribe to our 2nd channel \”Market Wisdom by TraderTV.Live\”: https://www.youtube.com/channel/UCtiovhx7c5ON5bPVFfPaSZw/
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The purpose of this chat is to create a trading community providing an environment where traders can share trade ideas, strategies and promote financial growth by helping each other progress.
1) Be positive and respectful and mindful of others.
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3) Learn and contribute to the room, and make our chat community one you are proud to be a part of!
4) No pumping, promoting or bashing stocks. If there is relevant news, briefly summarize it. Do not say things like: “Come on AAPL” or “SPCE is a fraud”. If you give an alert, give a reason, “TSLA dropping like a rock!”
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7) If you just follow Rule 1, it encompasses everything! Failure to follow chat guidelines does not come with a warning.
📜DISCLAIMER
Legal Notice: The views and opinions expressed on TraderTV.Live are provided for information purposes only and should NOT be taken as (a) a solicitation of an offer to buy or sell a security, (b) an endorsement or recommendation of any particular security or trading strategy, or (c) investment advice.
The trading activity shown on TraderTV.Live are, stocks, futures and Forex purchases and sales, using real money and realtime market data. Our traders may own the securities they are trading on TraderTV.Live in their personal portfolios.
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🚨Watch the TD Ameritrade Network LIVE 🚨
An informed investor is a confident investor. Especially when equipped with realtime market insights, strategy, and platform tools—straight from industry pros. Cue the TD Ameritrade Network. This programming doesn’t just bring you the news, but interprets it. So you understand how to apply what’s going on in the markets to your strategies—and have more confidence than ever to strike when the time is right.
LIVE PROGRAMMING SCHEDULE:
89am ET: Futures with Ben Lichtenstein
911am ET: Morning Trade Live with Oliver Renick
11am12pm ET: Fast Market with Alex Coffey and Kevin Hincks
121pm ET: Your First Trade with Scott Connor
12pm ET: The Watch List with Nicole Petallides
22:30pm ET: MidDay Trade with Kevin Hincks
2:303pm ET: MidDay Movers with Ben Lichtenstein
35pm ET: Market on Close with Oliver Renick
55:30pm ET: Market Overtime with Nicole Petallides
5:306pm ET: Weekend Trader (Friday only)
======== TD Ameritrade Network ========
Empowering every investor and trader, every market day.
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Stock Price Prediction Using Python \u0026 Machine Learning
Stock Price Prediction Using Python \u0026 Machine Learning (LSTM).
In this video you will learn how to create an artificial neural network called Long Short Term Memory to predict the future price of stock.
Disclaimer: The material in this video is purely educational and should not be taken as professional investment advice. Invest at your own discretion.
NOTE: In the video to calculate the RMSE I put the following statement:
rmse=np.sqrt(np.mean((predictions y_test)2))
When in fact I meant to put :
rmse=np.sqrt(np.mean(((predictions y_test)2)))
You can use the following statements to calculate RMSE:
1. rmse =np.sqrt(np.mean(((predictions y_test)2)))
2. rmse = np.sqrt(np.mean(np.power((np.array(y_test)np.array(predictions)),2)))
3. rmse = np.sqrt(((predictions y_test) 2).mean())
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StockPrediction Python MachineLearning
Latin America’s Deadliest Place to Be a Woman
In Honduras, gang violence, poverty and corruption are waging a bloody war against women. In the past year alone, a woman has been murdered every 36 hours, making the country one of the deadliest in the world to be female.
Watch more like this:
Inside the Deadliest City in Honduras
https://www.youtube.com/watch?v=xpNZcq20Jw
Greece’s Summer of Fire and Anger
https://www.youtube.com/watch?v=aaWIiAFvZy8
Europe’s Most Violent, InstagramObsessed Leader
https://www.youtube.com/watch?v=R5e_PI_QBGA
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LIVE Trading – Stock Exchange of Thailand 09Dec2020
LIVE Trading Stock Exchange of Thailand 09Dec2020
นอกจากการดูหัวข้อนี้แล้ว คุณยังสามารถเข้าถึงบทวิจารณ์ดีๆ อื่นๆ อีกมากมายได้ที่นี่: ดูวิธีอื่นๆINVESTMENT
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