No Matter What Happens, Don’t Give Up – Trade The Pool Funded Trader

Trade with TTP, as they do the risk management for you, Thats Ivan’s advice

Ivan O, 37 years old, From Switzerland is a Trade The Pool funded trader.

Ivan has successfully passed our Mini Buying Power program and is now one of TTP’s funded traders, or as we call it, he is a true “Stock Star.”
Every time he reaches 5 consecutive winning days, we will boost his buying power and max exposure.

$20K funded trader With Trade The Pool

We spoke with Ivan about his trading plan, insights, and lessons gained while trading in the markets and our platform as a funded trader.

 

Watch The Interview With Ivan

 

Tell us a little bit about yourself.

I am a South African living and working in Switzerland. I like doing mechanical work in my spare time and trading of course.

How long have you been trading?

From my first live trading account about one and half years. I am a part-time trader.

Briefly describe your Trading Plan and how it contributes to your success.

Doing pre-market prep. My goals I have for the week.

Share with us a challenge you faced in your trading career and how you overcame it

Blowing account with one trade after a few good weeks of trading. Was hard to come back from this one as all the hard work I have put in was lost in just one trade. I took a few days of from trading and tried to build up confidence again that anything is possible. Switch to demo trading after that, and that really helped as well

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How did you adjust risk management to your trading personality?

Risk management has never been my strong point. That is one of the reasons I have started with TTP, as they do the risk management for you

Describe a key moment in your trading career

It Must have been my first $1000 trade. Felt amazing!

$20K funded trader With Trade The Pool

How long did it take for you to become a consistent trader, and what aspects did you change for that?

Only recently became consistent, so also nearly one and half years.

What is your mental/psychological strength, and how did you develop it

My best psychological strength is making a recovery from a bad loss. I can build up confidence quite quickly again, attacking the market the next day

What was your strategy for successfully passing the evaluation phase?

Mostly halt trading and Short selling.

How is trading for Trade The Pool different from trading by yourself?

The resources TTP provides. And also for me that they manage your risk.

What would you recommend to someone who is just starting with us?

Do not go all in from the beginning. First, get to know the program and find out what is working for you or not

Share online resources that were/are significant in your trading development. Names and links are appreciated.

Trade Ideas and Trend Spider

Would you like to share anything else with us?

Never give up

Arbnor’s way – Short Selling Small-Cap Stocks

Arbnor’s advice: Scale in and scale out to help you control the risk

Arbnor T, From the US.

Arbnor has successfully passed our Extra Buying Power program and is now one of TTP’s funded traders, or as we call it, he is a true “Stock Star.”
Every time he reaches 5 consecutive winning days, we will boost his buying power and max exposure.

We spoke with Arbnor about his trading plan, insights, and lessons gained while trading in the markets and our platform as a funded trader. In this interview he discusses his trading journey, strategy, and success. He started trading in January 2021, after studying for a year and a half, and has since made $160K as a funded trader.

Watch The Interview With Arbnor

Starting Out

Arbnor moved to Waco, Texas, to focus on his studies and trading. He hit the books and DVDs for eight months before starting paper trading for another eight to nine months. By putting in the work, he was able to transition from paper trading to trading with real money smoothly.

Trading Strategy

Arbnor focuses primarily on short selling small-cap stocks, typically under $20 and over 50 cents. He looks for overextension, where a stock goes from one dollar to nine dollars in one day or a few days. Once he starts to see signs of weakness, such as a mean red candle or buying volume not moving the chart anymore, he will start to short sell.

ttp - a prop firm for stock traders

Determining the Top

When asked how he determines the top, Arbnor states that it’s an art and a science. He looks for multiple indicators of weakness, such as red candles, volume buying not moving the chart anymore, and signs of topping off. He doesn’t know for sure if it’s the top, but the more indicators he sees, the more confident he is in the trade.

Scaling into Positions

Arbnor used to go all-in on a trade, but he has since learned to scale into positions. By scaling in, he gets better averages and can manage risk better.

Conclusion

Arbnor’s trading journey is a testament to the importance of putting in the work and developing a strategy that works for you. His focus on short selling small-cap stocks under $20 and over 50 cents has proven successful, and he has been able to make $160K as a funded trader. His willingness to adapt and learn has helped him to become a successful trader and a valuable member of Trade Pool.

If you enjoyed this interview you might like other traders’ interviews on our blog!

$10,000 Profit Trading with Trade The Pool – Interview with $160K PM Michael

Michael’s advice: Stop buying in 1 chunk and scale in using TTP risk management

Michael E, From the US.

Michael has successfully passed our Extra Buying Power program and is now one of TTP’s funded traders, or as we call it, he is a true “Stock Star.”
Every time he reaches 5 consecutive winning days, we will boost his buying power and max exposure.

We spoke with Michael about his trading plan, insights, and lessons gained while trading in the markets and our platform as a funded trader.

 

Watch The Interview With Michael

 

Trading Journey

In the interview Michael discusses his journey and trading strategies. He has been trading for five to six years, learning from Timothy Sykes and his student Tim Grittani. He focuses exclusively on short selling penny stocks, looking for over-extended top percentage gainers and trading the first red day or shorting into previous resistance levels.

When asked about how he determines when to sell or buy, Michael explains that he never knows for sure when the top or bottom is in, but looks for indicators like hard cracks and resistance levels. He also emphasizes the importance of cutting losses quickly, as taught by Sykes and Grittani.

Experience with Trade The Pool

Michael praises the program, calling it “monumental” and a great opportunity for traders to prove their skills and gain access to capital to make profits. He mentions that he had to adjust his trading strategy to scale into his positions, but sees the benefits of doing so.

ttp funded trader evaluation dashboard

Michael's evaluation account dashboard

Summary

Overall, the interview provides valuable insights into the mindset and strategies of a successful funded trader. Michael’s emphasis on risk management and cutting losses quickly is a common thread throughout the interview, highlighting its importance in trading. His focus on short selling penny stocks and looking for over-extended top percentage gainers also provides a unique perspective on the trading world.

The interview could be beneficial to both experienced traders looking to learn from a successful funded trader and newer traders looking to gain insight into the trading world. Michael’s focus on penny stocks and short selling may be especially relevant to those looking to trade volatile small-cap stocks. Additionally, his emphasis on risk management and cutting losses quickly could be beneficial to traders of all levels.

If you enjoyed this interview you might like other traders’ interviews on our blog!

Generative A.I. – The Future Is Now

Open AI, Microsoft, Google, and Meta locked in the race for artificial intelligence supremacy. Are you thinking about investing in AI technology?

Introduction

We’ve been waiting and fantasizing about it for generations. Hundreds of sci-fi books, images, and movies have done nothing but boost our curiosity, eagerness, and impatience for a technological leap that wasn’t just new, useful, and exciting but also revolutionary.

The World is now so used to and reliant on the internet and the vast array of smartphones, smart TVs, smart homes, and smart everything to make the average American feel outsmarted by his own (smart) fridge. News of technological progress in science, medicine, engineering, entertainment, communication, and energy all feel new and important but maybe not quite revolutionary in the “BIG sense”.

Well, this might be different.
There is something about Generative AI that is seducing people and companies across the world into believing the technology to be absolutely all-changing.

In the following article, we’ll learn a bit more about Generative AI technology and we’ll find out:

  • What it is
  • Who is creating it, improving it, and investing the most in it
  • The companies’ stocks that could represent the best opportunities for investing in AI technology.

Times have changed

I’m writing after growing up as a teenager in a generation that was confident that, by the year 2000, it would have seen people using electric flying cars to commute to work and humanoid robots doing all the house chores, babysitting the kids, going out for grocery shopping while also taking the dog for a walk and… (well… a lot of other things only a teenager could think of).

Yes, sure, some of the expectations have been let down so far (although definitely not for a lack of trying). Yet, it can hardly be denied that the 21st century is a highly technological one. Everyday life would seem almost impossible without the technology and gadgets that were not at all common just 30 years ago (if they even existed). Medicine, science, military, entertainment, information, education, energy, personal care,  design, architecture, manufacturing, food processing, construction, and sport have all been massively affected by technological discoveries, inventions, and applications. In fact, it would be impossible to name an industry or aspect of life that hasn’t.
No, I won’t see any flying cars if I look out of my window but if I look back instead, I can see and wonder at how far we’ve come.

 

A.I. (Artificial Intelligence)

For decades, ultra-sharp minds and well-founded companies have worked both in front and behind the scenes, and theirs is a success story that continues and will continue in the future.
We all learned to get used to the presence of AI technology in different aspects of our lives. Chatbots, for example, have become the norm in most internet websites’ help and support pages as well as on all search engines. It’s enough for us to start typing the beginning of a sentence, for the AI to be able not just to predict the rest of it but also to offer alternative possibilities.
This type of A.I. works by elaborating the always-growing amount of data entered by the programmers (just as any computer) added to the ability to “learn” new data by interacting with creators and users alike. A.I.

AI is able to learn and recognize our favorite music or movie genres based on what we usually listen to and watch. It’s also able to suggest other songs and movies that we might like. It learns which products and services we are most likely to be interested in and presents us (bombard us, more like) with specifically targeted advertisements.
One type of AI – the Conversational A.I. – is now very commonly used in gadgets such as Amazon’s Alexa, Apple’s Siri, and Google’s Google Assistant. It recognizes our voice and understands our words which allows it to comply with verbal instructions given to it.
But apart from the mundane, AI is also used to suggest probable diagnoses for patients in hospitals, to predict and anticipate enemies’ missiles’ trajectory on the battlefield, and also for things such as recommending the most appropriate spot to build a school in urban architecture.
The applications for AI are, in other words, countless and companies are still discovering and creating even more.

It is the ability to learn from new interactions and to use the information learned that, only a few years ago, made AI technology new and different and that allowed it to be incorporated in pretty much every aspect, industry, and sector of the market.

Generative AI though… is on a new level altogether!

ttp - a prop firm for stock traders

What is Generative AI?

Generative AI is the newest leap in AI technology.
Where AI has the incredible ability to “improve” itself and its original programming through learning, Generative AI is capable of generating new data by recognizing patterns in existing data. In other words, Generative AI doesn’t just learn new data, it creates it.

In November last year, Open AI, one of the major players in the AI technology market, launched its newest (and world-first) Generative AI algorithm, ChatGPT, and the World felt immediately a little different.

It was left to ChatGPT – the AI – to introduce itself and explain its potential applications to the public and this is what it said of itself:

“Ready to take your creativity to the next level? Look no further than generative AI! This nifty form of machine learning allows computers to generate all sorts of new and exciting content, from music and art to entire virtual worlds. And it’s not just for fun—generative AI has plenty of practical uses too, like creating new product designs and optimizing business processes. So why wait? Unleash the power of generative AI and see what amazing creations you can come up with!”

Generative AI algorithms are now able to create original music and painting. They are able to artistically illustrate things described to them verbally. They can write novels and make movies. NetDragon, a Chinese video game firm has even made a Generative AI called Tang-Yu its CEO with the task of supporting decision-making across the company (and by the way, the Company share price went to the roof as soon as the news was released).

investing in ai technology - netdragon ceo

There is certainly a great deal of speculation about the future effect of Generative AI in the labor market and creative arts but we shall leave that discussion for another day. For now, we’ll focus on making the best of the investment and trading opportunities that Gerative AI technology can offer to us today.

Trading and Investing in AI technology

Currently, it is OpenAI that sits comfortably at the top of the artificial intelligence technology chain. Its InstructGTP, ChatGTP, and Dall- E2 algorithms have completely changed the rules of the game and the pace of the race.

OpenAI is an American artificial intelligence research laboratory founded in 2015 by Elon Musk, Ilia Sutskever, Greg Brockman, and Sam Altman with the declared intention of promoting and developing a friendly AI. It is a private company with no stock traded on the open market. It’s not possible to invest in OpenAI but a possible future IPO is definitely something to look forward to.

Not to worry though, for traders and investors interested in investing in ai technology, the opportunities are plenty for there are a number of other large companies that are working in and are heavily invested in AI.

These, for example, are all well-known companies in the US, that are running and investing in new Generative AI technologies (…whilst also doing what they are so well known for, of course):

Microsoft

Microsoft is directly involved in a partnership with OpenAI itself; a partnership in which it invested billions of dollars.
The company has helped OpenAI develop ChatGPT and has already incorporated AI into its search engine Bing, its internet browser Edge, and its flagship-software Microsoft Office 365.

Google

In 2022, Google’s Generative AI algorithm, LaMDA LLM, went as far as to convince an engineer of being sentient. He then went and exposed the fact online, naturally, creating much controversy and debate.
Google Cloud has also launched Generative AI products that offer its customers the ability to create GenApps (Generative AI applications).

Amazon

Alexa and Amazon Lex have given testimony to Amazon’s interest (and huge investment) in AI and now, eager not to be left behind in the Generative AI technology race, it has partnered with Hugging Face, a startup working on creating a worthy ChatGpt’s rival.

Meta

Meta has been directly working and investing in AI for at least 10 years with its attention more focused on finding possible applications than on creating and improving the technology itself. However, Meta did create LLaMA, a new set of foundation language models for AI.

investing in ai technology - meta stock

XAI Corp

After co-founding OpenAI, Elon Musk has decided to found a new startup called XAI Corp with the primary intention of creating a new alternative to Chat GPT after complaining that AI technology is being programmed to be overly politically correct.

Conclusion

Ever since OpenAI’s ChatGpt was released, it seems, any company with AI on either its name or its mission statement, has seen its stock rise.

Some traders are already talking about a dot-com-style bubble. Some are looking forward to what they call “a once-in-a-generation opportunity”. Whatever you decide to do and whatever direction you decide to take, remember to do your own research first.

May the odds be in your favor.

Hope this helps.

Join Trade The Pool now to trade the best ai technology involved stocks

Merry Xmass. Happy New 2024 Year