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How option pricing works and finding 1000% gainers:

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1. Love thy CHAD as you love yourself. Be positive. Respectful. Remember treat yourself that way.

2. No rocket ships. If uncertain of this rule, avoid rocket ships at all costs.

3. If you get banned, you must be reborn, your sins are forgiven however you must shed your old name. Everyone is always welcome to learn and contribute, everyone will be treated the same, you will often notice despite the name the same behavior/disrespectfulness/rudeness will always get banned. We ban the behavior not the person.

4. DO NOT FLEX GAINS. You can if you post the trade before hand and overall just mention the thesis towards it. Indiscriminate flexing results in a ban.

5. DO NOT FLEX LOSSES. Same as rule above, we do not encourage a culture of glorifying losses or hyper focusing on the negative.

6. DO NOT JOKE ABOUT FITNESS / PUSHUPS. During our holy hourly exercises it is extremely encouraged to only discuss what physical activity you have done. Joking about or joking around this time is a zero-tolerance zone. I am telling you now, your joke about it already isn’t good, exercise extreme caution in what you say during this time.

7. Be respectful during the 11 @ 11. You are not the one speaking in front of everybody, you know nothing about these people. Any side eye or shade during a phone call will result in an instant ban.

8. None of these trades are a recommendation to make a trade or financial investment, even if I say this is a recommendation I am talking to myself or one of my personalities. Stream alerts are not trade alerts, they are literally alerts of what is happening on stream. Copying my trades will most likely result in a loss. You can make the same trades as me, sure, but you are not me and your mindset is different, assume I am going to lose on every trade.

9. Like the video & subscribe, if you’re a real OG make sure you turn off ad-block. If you’re not on the main channel, you’re playing yourself.

10. If you simply follow rule #1 it encompasses every single rule and you won’t have to worry about anything. If something is wrong with the feed or you have suggestions on stuff that should be included or done differently, constructive criticism is always welcome. Complaining is not. We like solutions not focusing on problems!

11. CALLING PEOPLE OUT: Keep it positive and respectful. If someone else is breaking the rules or you disagree with what they are saying or have any differences whatsoever, IF YOU CALL THEM OUT NEGATIVELY you will get clapped.

This is all live and in real-time, feel free to ask any questions about trading. If I don’t answer it is probably because I am in my zone trading given the current market environment, I will get to your question whenever I have an opportunity. Good luck trading and understand this stream is for educational purposes. Do not copy the trades. Option trading is really risky and you are more than likely going to lose your money copying anything you see on this stream or channel. Consult with a professional before making any financial investment.

Trading on 4 different platforms: Etrade pro (screen shown), ThinkOrSwim (long term investing) Robinhood options (progress on main channel), and my main portfolio.


#StockMarket #Robinhood #DayTrading

DISCLAIMER: These videos are for educational purposes only. Nothing in this video should be construed as financial advice or a recommendation to buy or sell any sort of security or investment. Consult with a professional financial adviser before making any financial decisions. Investing in general and options trading especially is risky and has the potential for one to lose most or all of their initial investment
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Ways of getting Begun Investments as a Young Mature person

One of our core goals at The Motley Fool is to help people become great investors, and the earlier a person starts on that path, the better their long-term results are apt to be. That’s why we consider it a smart move to get your children — or any younger relatives — involved in stock picking long before they’re really likely to be thinking about the future. Of course, not everyone’s parents get their portfolios rolling when they are infants, or even grade schoolers.

In this Rule Breaker Investing podcast, David Gardner has gathered a whole panel of Fools to discuss the best ways to get started guiding your young relatives into the wide world of Wall Street. Gardner, Naima Barnes, Daniel Masseca, Robert Brokamp, and Jason Moser will offer up tips, advice and a host of personal anecdotes. In this segment, they talk about what the 18- or 21-year-old in your life ought to be doing — from contributing to a 401(k) to opening an IRA to getting out there and choosing their own portfolio, and more — as well as some things that mom and dad may want to help out with.
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The Investment Is getting ready to Fall is that Again

Lets discuss the biggest mistakes investors are making right now in the stock market, whether or not this is similar to 1929, and then what you can do about it to come out ahead – Enjoy! Add me on Instagram: GPStephan

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First: The stock market is poised for a 40% drop, warns economist who says the current climate feels a lot like 1929.”
Even though we can line up charts from 1929 to today and say “Look how similar they are” – the reality is that past performance doesn’t indicate future results, we have a Federal Reserve stepping in, in ways that we didn’t have in 1929 – and we have a much more robust safety net in the event of such massive failures. Sure, we’re printing more money than we know what to do with – but, that should hopefully keep prices high, all things considered.

For ANYONE who wants to be a successful investor LONG TERM, it’s important to understand JUST how BAD market timing is, and how much this would cost you if you were WRONG IN 2020:

Despite the markets OVERALL being flat for this year…if you missed out on just the TOP 5 trading days throughout the entire year…you would be DOWN 30 PERCENT.

Evidently, this is SO COMMON that Citiground found that more than 2/3rds of investors were MORE LIKELY to see a 20% LOSS from their investment than a 20% GAIN…that’s because, typically the mentality of most investors is: Prices are down, I better sell – and then when they drop EVEN FURTHER, I’ll buy back in.

But, this type of game is more like a casino than an investment strategy…because typically, some of the BEST days in the stock market happen after the WORST Days…and if you aren’t in the markets during the worst of times, you won’t be in it for the best.

According to JP Morgan, over the last 20 years – if you just kept your money invested, you would average a 5.62% return. If you miss JUST the best 10 trading days…over 20 years…your return drops to 2.01%. If you miss the top 20 best days…now you’ve LOST money from a 20 year investment…so, literally over 20 years, just missing the best 20 days mean you LOSE MONEY. And from there, it gets even worse.

The moral of the story is just this: when you invest, as long as you’re diversified and holding within a good company – the best thing you could do is just DO NOTHING. Keep holding. Stay invested. If the market drops, there’s your chance to buy more – but don’t change your investing strategy around someone who says the market is going to drop 40% like 1929, and keeps repeating that every year until maybe one day he’s right.

In addition to that, though…we also have another topic that everyone wants me to talk about, and I haven’t really addressed it until now…and that would be GOLD. What brings this to our attention is that Gold is now trading above 00 an ounce, which is the highest level it’s been since 2011…

Personally, I’m just not a huge fan of investing in gold. I think it definitely CAN have a place in your portfolio, but it’s certainly not an investment – just like I wouldn’t call a savings account “an investment.” I think it can work, in certain situations, but buying gold isn’t the “end goal” – it doesn’t produce anything, it doesn’t provide a dividend, and transaction costs are so high…I just don’t recommend keeping much money in Gold, and I keep pretty much nothing in precious metals besides some old coins and a watch.

For business or one-on-one real estate investing/real estate agent consulting inquiries, you can reach me at

*Some of the links and other products that appear on this video are from companies which Graham Stephan will earn an affiliate commission or referral bonus. Graham Stephan is part of an affiliate network and receives compensation for sending traffic to partner sites. The content in this video is accurate as of the posting date. Some of the offers mentioned may no longer be available.
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Immersed getting to know using LSTM organization to estimate/research forthcoming beliefs in MATLAB

Deep learning using LSTM network to predict/forecast future values in MATLAB

From predicting sales to finding patterns in stock market’s data, Long short-term memory (LSTMs) networks are very effective to solve problems.
This video shows how to forecast time series data using a LSTM network.
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TensorTraffic that in fact traffic prophecy by using equipment getting to know that Pawel Gora

Together with an international group of scientists, I am developing TensorFlow-based tool, TensorTraffic, for predicting traffic simulation outcomes, such as delays / total waiting times on a red signal, as a function of traffic control settings. We achieved great results, which may find applications in transport planning, real-time traffic management and many other fields.

Together with an international group of scientists, I am developing TensorFlow-based tool, TensorTraffic, for predicting traffic simulation outcomes, such as delays / total waiting times on a red signal, as a function of traffic control settings. We achieved great results, which may find applications in transport planning, real-time traffic management and many other fields.

First, I will talk about a goal of the research and problem we would like to solve, which is: approximating traffic simulation outcomes fast and with an acceptable accuracy. The motivation behind this goal is to have a meta-model of traffic, which can allow to effectively evaluate quality of a large number of settings (e.g., traffic control strategies or road infrastructure settings).

Then, I will explain our approach and experiemnts. We built a dataset consisting of almost 120 000 traffic simulation scenarios, using Traffic Simulation Framework software, each case corresponded to a different traffic signal control strategy, simulations computed the total waiting time of all cars on a red signal in a given region of Warsaw (Stara Ochota district, 15 crossroads with traffic signals). Then, we built meta-models based on machine learning, in order to approximate outcomes of traffic simulations faster and with an acceptable accuracy. First, we obtained very good accuracy of predictions using neural networks (average error 1.18%), later we even improved these results using XGBoost (average error lower than 1%). What is important, results of approximations can be obtained a few orders of magnitude faster than by running traffic simulations.

Finally, I will tell about conclusions and possible directions of a future research. I will show how achieved results may be applied in real-time traffic management and transport planning, which may lead to significant reduction of the required time and cost of traffic engineering works, as well as better results in terms of traffic efficiency. Thus, this may lead to developing AI-based tools able to support traffic engineers in their work. An interesting conclusion is that similar approach may be used in many other cases, in which it is required to run a large number of simulations, e.g., weather forecast, medicine, bioinformatics. There may be also important theoretical conclusions, related to automata theory and computational complexity.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

How you can make an effective Equipment Getting to know Fx trading Method in Python: Start

An introduction to the construction of a profitable machine learning strategy. Covers the basics of classification algorithms, data preprocessing, and feature selection. Discussion of Python machine learning resources; including the Sentdex channel, and the Python Machine learning book. In the next video we will look at different data sources and how to clean the data.

*** Sentdex Channel ***

FOREX Playlist:

*** Python Machine Learning – Sebastian Raschka ***

*** Python Resources ***

SciKit-Learn Documentation:

*** FOREX Daily Trend Prediction Research Paper ***

Here are some very useful websites if you would like to learn more about Neural Networks and Fuzzy Logic.

Learn Artificial Neural Networks is website dedicated to providing educational information about artificial intelligence technologies. They have two great articles explaining Neural Networks and Fuzzy Logic in details. There are also other articles related to AI.

In Akri Ltd, there is an article titled „From Logic to Fuzzy Logic“ which compares traditional logic and Fuzzy logic using real-world examples, showcasing how Fuzzy Logic has revolutionized the world.

Holos is an Europe-based company which provides its clients with products and services that improve the information access, support decisions and generate knowledge. In its company website, Holos explains how it integrates Fuzzy Logic into decision-making activities.

Here is an article explaining „A Fuzzy Logic based Trading System“

This article explains the importance of Neural Networks and Fuzzy Logic using diagrams to help understand.
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State-of-the-art time-series research by having deep getting to know by Javier Ordoñez

Session presented at Big Data Spain 2017 Conference
17th Nov 2017
Kinépolis Madrid

Crypto Trading With Neural Platforms: Tool Getting to know & Economies

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