We found 11 online brokers that are appropriate for Trading AI Investment Platforms.
AI, or artificial intelligence is an extensive division within computer science that is associated with developing intelligent machines, i.e., ones that are able to complete tasks that usually involve human intelligence. AI has a wide range of approaches since it is considered a multifaceted science. However, evolutions in deep learning along with machine learning are changing the approach of every division present in the tech industry.
Artificial intelligence is present in many different forms today, such as the following:
Artificial Intelligence can be classified into two main categories:
Artificial General Intelligence, AGI, or every so often even referred to as “Strong AI” is the type of artificial intelligence that is seen in the form of robots in dystopian movies. Artificial General Intelligence is, like its name suggests, a machine possessing general intelligence which can use that intelligence and apply it to solve all sorts of problems. The development of a type of machine having close-to-human intelligence that can help solve any sort of problem is a great driving force for a majority of AI researchers. The journey with the development of AGI has been cumbersome, however.
AGI has been a great source of inspiration for science fiction literature and cinema with dystopian settings, i.e., the type that involves intelligent robots becoming self-aware and overrunning humanity as a result. While many filmmakers, novelists, and whatnot have drawn inspiration from such a topic, experts say that such a phenomenon is not something that should be of concern as it is not happening anytime soon.
Narrow AI, sometimes called “Weak AI” is the type of artificial intelligence that performs with a limited context restricting it. it is basically designed to simulate human intelligence. Narrow or Weak AI is usually designed to perform a single or two tasks exceptionally well, perhaps in an even more efficient way than humans. Although such machines may appear intelligent, they are actually functioning with more limits and constraints applied to them compared to even the most basic form of human intelligence.
Narrow or Weak AI is very commonly used and is the most popular form of artificial intelligence actualized to date. Since it is more focused towards handling specific individual (or more) tasks, Weak AI has seen a lot of success throughout the previous decade. It has contributed to the overall economy of the world in many ways.
Examples of Narrow Artificial Intelligence include:
Machine learning is a subdomain of artificial intelligence which involves the programming of machines to teach them tasks. To put it simply, machine learning involves it feeding data to a computer and then using statistical techniques in order to teach it perform better at certain tasks. With this, said computer does not have to be programmed especially for that task. This helps remove the need for having code for hours. Machine learning includes both unsupervised learning which uses unlabelled sets of data, and supervised learning, involving labelled data sets.
Machine learning processes come in various types out of which the most prevalent is deep learning, which constitutes sending data into an ANN, otherwise referred to as an Artificial Neural Network. An Artificial Neural Network is a very computationally intensive network consisting of numerical functions combined in a format based on the neural networks present in human brain.
An ANN becomes increasingly accurate the bigger the data that is fed into it is. For instance, if an ANN is being trained to be able to identify pictures of dogs, it will have to be fed 1000 pictures of dogs. This way, the network will have an accuracy of around 70% identifying dog pictures. If the number of pictures is increased to 10,000, the accuracy level will most probably go up to 80%. Just like that, if the number of dog pictures fed into it go up to 100,000, the network's accuracy may reach 90% and upwards.
This paves the way to one of the opportunities, i.e., companies that are involve themselves in the field of AI development have a bright future ahead of them.
There are several other kinds of machine learning that offer a lot of potential; reinforcement learning, for instance. Reinforcement learning involves training agents via repetitive actions with corresponding rewards. Through the adoption of reinforcement earning, an AI program can compete with itself, automatically improving its overall performance. For instance, a program playing a game of checkers will constantly compete against itself with the intention of improving how it performs in every upcoming game.
As of the present, the best AI types use a mix of both reinforcement learning and deep learning in what turns out to be deep reinforcement learning. All of the world's best AI organizations use their own deep reinforcement learning tailored to their requirements.
Although there are other kinds of machine learning programs that are constantly being developed and improved, like meta-learning, for simplicity and added convenience, deep learning and deep reinforcement learning are what investors should be most acquainted with. The companies that find themselves leading the advancement of technology are most likely going to be in the most favourable position to benefit from the differential function growth being witnessed in the world of AI.
Artificial Intelligence is currently being adopted by a vast variety of industries and markets. Following are a few of its examples:
AI aids in automating grading. This allows teachers more time to focus on more important things. It can also evaluate the performance of students and further adjust to their needs, allowing them to study on their own terms. AI teachers can offer additional guidance and support to students, guaranteeing that they stay on course. This could ultimately revolutionize how students learn, even go so far as to replace some teachers altogether.
AI helps automate labour intensive processes like going through documents which can otherwise be a tedious job. This saves time for law firms to focus on improving their relationship with their clients. Law firms often use machine learning to label data and even predict results. Computer vision is also used to gather information from official documents, and natural language processing is utilized to infer information requests.
AI, when applied to personal finance applications is affecting how financial institutions work. AI applications are used to gather personal data and offer financial advice. There are also AI programs that are involved in the purchases of real estate properties. Currently, AI software is used to carry out a majority of the trades on major stock exchanges.
Machine learning processes are integrated into CRM (customer relationship management) and analytics in order to guide businesses on how to serve their customers better. Live chat bots are also programmed to instantly help customers with more common queries. Job positions being automated are also gaining momentum among IT experts and scholars.
Banks today employ bots to update or inform customers about their services and seamlessly handle transactions without the need of human intervention. Automated virtual assistance help cut compliances costs with banking guidelines and improve them as well. Financial institutions also use AI to enhance their decision-making processes for taking loans, along with the identification of investment opportunities and setting credit limits.
No matter what industry, AI has made it possible for companies to come up with new business strategies for viability, productivity, and growth. In order to ensure an even brighter future with AI, business owners and investors can consider the following strategies.
Before going ahead and investing in AI, following are the essentials companies must consider:
Before making the decision to invest in AI, it is advisable for the company owner to run an analysis on the condition of their company. This includes the company's strengths, and areas that leave much to desire in terms of improvement.
It could be possible for the company to run into some problems or complicated processes that, despite not leading to failure, could be vital and their enhancement could help the company greatly. Such processes include the customer service or sales department.
Once certain about addressing the problems that need to be solved, or the areas that need improvement, businesses must opt for an AI solution that suits their set requirements and budget. This part should be considered carefully as, while AI may improve the way a company functions, a ruined budget might be difficult to recover. That is also not to say that companies should settle on the bare minimum. There should always be a proper balance.
AI should be applied where it is absolutely needed, because too much can be as detrimental to a company as too less.
An AI investment is only going to prove fruitful to a company having a tech-forward staff that is capable of using the tool to its full potential. Employee training can also help companies get the most out of their investments in AI tools, however wasteful employee training might seem at first.
Before investing in AI, or any other type of technology for that matter, it is best for a company to ensure that they have received proper, sound advice on the matter. This can be done by looking around for AI experts, browsing through their websites and reviews, etc. This can help provide a comprehensive overview regarding what is suitable for a company and what is not. Doing this can guarantee that the AI investment being made is going to deliver positive results.
Once everything is well-planned and working well, it is a good idea to keep moving forward. In this day and age, and the current circumstances given, AI technology is only moving forward. To take advantage of this, companies should seek improvement constantly, instead of just sticking to one AI investment. With AI as an ally, companies can assess their results and keep advancing forward.
We have conducted extensive research and analysis on over multiple data points on Investing In AI to present you with a comprehensive guide that can help you find the most suitable Investing In AI. Below we shortlist what we think are the best AI Investment Platforms after careful consideration and evaluation. We hope this list will assist you in making an informed decision when researching Investing In AI.
Selecting a reliable and reputable online AI Investment Platforms trading brokerage involves assessing their track record, regulatory status, customer support, processing times, international presence, and language capabilities. Considering these factors, you can make an informed decision and trade AI Investment Platforms more confidently.
Selecting the right online AI Investment Platforms trading brokerage requires careful consideration of several critical factors. Here are some essential points to keep in mind:
Our team have listed brokers that match your criteria for you below. All brokerage data has been summarised into a comparison table. Scroll down.
When choosing a broker for AI Investment Platforms trading, it's essential to compare the different options available to you. Our AI Investment Platforms brokerage comparison table below allows you to compare several important features side by side, making it easier to make an informed choice.
By comparing these essential features, you can choose a AI Investment Platforms broker that best suits your needs and preferences for AI Investment Platforms. Our AI Investment Platforms broker comparison table simplifies the process, allowing you to make a more informed decision.
Here are the top AI Investment Platforms.
Compare AI Investment Platforms brokers for min deposits, funding, used by, benefits, account types, platforms, and support levels. When searching for a AI Investment Platforms broker, it's crucial to compare several factors to choose the right one for your AI Investment Platforms needs. Our comparison tool allows you to compare the essential features side by side.
All brokers below are AI Investment Platforms. Learn more about what they offer below.
You can scroll left and right on the comparison table below to see more AI Investment Platforms that accept AI Investment Platforms clients.
Broker | IC Markets | Roboforex | eToro | XTB | XM | Pepperstone | AvaTrade | FP Markets | EasyMarkets | SpreadEx | FXPro |
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Regulation | Seychelles Financial Services Authority (FSA) (SD018) | RoboForex Ltd is regulated by the FSC, license 000138/437, reg. number 128.572. RoboForex Ltd, which is an (A category) member of The Financial Commission, also is a participant of its Compensation Fund | FCA (Financial Conduct Authority) eToro (UK) Ltd (FCA reference 583263), eToro (Europe) Ltd CySEC (Cyprus Securities Exchange Commission), ASIC (Australian Securities and Investments Commission) eToro AUS Capital Limited ASIC license 491139, CySec (Cyprus Securities and Exchange Commission under the license 109/10), FSAS (Financial Services Authority Seychelles) eToro (Seychelles) Ltd license SD076 | FCA (Financial Conduct Authority reference 522157), CySEC (Cyprus Securities and Exchange Commission reference 169/12), FSCA (Financial Sector Conduct Authority), XTB AFRICA (PTY) LTD licensed to operate in South Africa, KPWiG (Polish Securities and Exchange Commission), DFSA (Dubai Financial Services Authority), DIFC (Dubai International Financial Center), CNMV (Comisión Nacional del Mercado de Valores), KNF (Komisja Nadzoru Finansowego), IFSC (Belize International Financial Services Commission license number IFSC/60/413/TS/19) | Financial Services Commission (FSC) (000261/4) XM ZA (Pty) Ltd, Cyprus Securities and Exchange Commission (CySEC) (license 120/10) Trading Point of Financial Instruments Ltd, Australian Securities and Investments Commission (ASIC) (number 443670) Trading Point of Financial Instruments Pty Ltd | Financial Conduct Authority (FCA), Australian Securities and Investments Commission (ASIC), Cyprus Securities and Exchange Commission (CySEC), Federal Financial Supervisory Authority (BaFin), Dubai Financial Services Authority (DFSA), Capital Markets Authority of Kenya (CMA), Pepperstone Markets Limited is incorporated in The Bahamas (number 177174 B), Licensed by the Securities Commission of the Bahamas (SCB) number SIA-F217 | Australian Securities and Investments Commission (ASIC) Ava Capital Markets Australia Pty Ltd (406684), South African Financial Sector Conduct Authority (FSCA) Ava Capital Markets Pty Ltd (45984), Financial Services Agency (Japan FSA) Ava Trade Japan K.K. (1662), Financial Futures Association of Japan (FFAJ),, FFAJ, Abu Dhabi Global Markets (ADGM)(190018) Ava Trade Middle East Ltd (190018), Polish Financial Supervision Authority (KNF) AVA Trade EU Ltd, Central Bank of Ireland (C53877) AVA Trade EU Ltd, British Virgin Islands Financial Services Commission (BVI) BVI (SIBA/L/13/1049), Israel Securities Association (ISA) (514666577) ATrade Ltd, Financial Regulatory Services Authority (FRSA) | CySEC (Cyprus Securities and Exchange Commission) (371/18), ASIC AFS (Australian Securities and Investments Commission) (286354), FSP (Financial Sector Conduct Authority in South Africa) (50926), Financial Services Authority Seychelles (FSA) (130) | Cyprus Securities and Exchange Commission (CySEC) (079/07) Easy Forex Trading Ltd, Australian Securities and Investments Commission (ASIC) (Easy Markets Pty Ltd 246566), British Virgin Islands Financial Services Commission (BVI) EF Worldwide Ltd (SIBA/L/20/1135), Financial Sector Conduct Authority South Africa (FSA) EF Worldwide (PTY) Ltd (54018), FSC (Financial Services Commission) (SIBA/L/20/1135), FSCA (Financial Sector Conduct Authority) (54018) | FCA (Financial Conduct Authority) (190941), Gambling Commission (Great Britain) (8835) | FCA (Financial Conduct Authority) (509956), CySEC (Cyprus Securities and Exchange Commission) (078/07), FSCA (Financial Sector Conduct Authority) (45052), SCB (Securities Commission of The Bahamas) (SIA-F184), FSA (Financial Services Authority of Seychelles) (SD120) |
Min Deposit | 200 | 10 | 50 | No minimum deposit | 5 | No minimum deposit | 100 | 100 | 25 | No minimum deposit | 100 |
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Used By | 200,000+ | 730,000+ | 35,000,000+ | 1,000,000+ | 10,000,000+ | 400,000+ | 400,000+ | 200,000+ | 250,000+ | 60,000+ | 7,800,000+ |
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Platforms | MT5, MT4, MetaTrader WebTrader, Mobile Apps, iOS (App Store), Android (Google Play), MetaTrader iPhone/iPad, MetaTrader Android Google Play, MetaTrader Mac, cTrader, cTrader Web, cTrader iPhone/iPad, cTrader iMac, cTrader Android Google Play, cTrader Automate, cTrader Copy Trading, TradingView, Virtual Private Server, Trading Servers, MT4 Advanced Trading Tools, IC Insights, Trading Central | MT4, MT5, R Mobile Trader, R StocksTrader, WebTrader, Mobile Apps, iOS (App Store), Android (Google Play), Windows | eToro Trading App, Mobile Apps, iOS (App Store), Android (Google Play), CopyTrading, Web | MT4, Mirror Trader, Web Trader, Tablet, Mobile Apps, iOS (App Store), Android (Google Play) | MT5, MT5 WebTrader, XM Apple App for iPhone, XM App for Android Google Play, Tablet: MT5 for iPad, MT5 for Android Google Play, XM App for iPad, XM App for iOS (App Store), Android (Google Play), Mobile Apps | MT4, MT5, cTrader,WebTrader, TradingView, Windows, Mobile Apps, iOS (App Store), Android (Google Play) | MT4, MT5, Web Trading, AvaTrade App, AvaOptions, Mac Trading, AvaSocial, Mobile Apps, iOS (App Store), Android (Google Play) | MT4, MT5, TradingView, cTrader, WebTrader, Mobile Trader, Mobile Apps, iOS (App Store), Android (Google Play) | easyMarkets App, Mobile Apps, iOS (App Store), Android (Google Play), Web Platform, TradingView, MT4, MT5 | Web, Mobile Apps, iOS (App Store), Android (Google Play), iPad App, iPhone App, TradingView | MT4, MT5, cTrader, FxPro WebTrader, FxPro Mobile Apps, iOS (App Store), Android (Google Play) |
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Risk Warning | Losses can exceed deposits | Losses can exceed deposits | 51% of retail investor accounts lose money when trading CFDs with this provider. | 75-83% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. | CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 74.12% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. | 75-95 % of retail investor accounts lose money when trading CFDs | 71% of retail investor accounts lose money when trading CFDs with this provider | Losses can exceed deposits | Your capital is at risk | Losses can exceed deposits | 75.78% of retail investor accounts lose money when trading CFDs and Spread Betting with this provider |
Demo |
IC Markets Demo |
Roboforex Demo |
eToro Demo |
XTB Demo |
XM Demo |
Pepperstone Demo |
AvaTrade Demo |
FP Markets Demo |
easyMarkets Demo |
SpreadEx Demo |
FxPro Demo |
Excluded Countries | US, IR, CA, NZ, JP | AU, BE, BQ, BR, CA, CW, CZ, DE, ES, EE, EU, FM, FR, FI, GW, ID, IR, JP, LR, MP, NL, PF, PL, RU, SE, SJ, SS, SL, SI, TL, TR, DO, US, IT, AT, PT, BG, HR, CY, DK, FL, GR, IE, LV, LT, MT, RO, SK, CH | ZA, ID, IR, KP, BE, CA, JP, SY, TR, IL, BY, AL, MD, MK, RS, GN, CD, SD, SA, ZW, ET, GH, TZ, LY, UG, ZM, BW, RW, TN, SO, NA, TG, SL, LR, GM, DJ, CI, PK, BN, TW, WS, NP, SG, VI, TM, TJ, UZ, LK, TT, HT, MM, BT, MH, MV, MG, MK, KZ, GD, FJ, PT, BB, BM, BS, AG, AI, AW, AX, LB, SV, PY, HN, GT, PR, NI, VG, AN, CN, BZ, DZ, MY, KH, PH, VN, EG, MN, MO, UA, JO, KR, | US, IN, PK, BD, NG , ID, BE, AU | US, CA, IL, IR | AF, AS, AQ, AM, AZ, BY, BE, BZ, BT, BA, BI, CM, CA, CF, TD, CG, CI, ER, GF, PF, GP, GU, GN, GW, GY, HT, VA, IR, IQ, JP, KZ, LB, LR, LY, ML, MQ, YT, MZ, MM, NZ, NI, KP, PS, PR, RE, KN, LC, VC, WS, SO, GS, KR, SS, SD, SR, SY, TJ, TN, TM, TC, US, VU, VG, EH, ES, YE, ZW, ET | BE, BR, KP, NZ, TR, US, CA, SG | US, JP, NZ | US, IL, BC, MB, QC, ON, AF, BY, BI, KH, KY, TD, KM, CG, CU, CD, GQ, ER, FJ, GN, GW, HT, IR, IQ, LA, LY, MZ, MM, NI, KP, PW, PA, RU, SO, SS, SD, SY, TT, TM, VU, VE, YE | US, TR | US, CA, IR |
You can compare AI Investment Platforms ratings, min deposits what the the broker offers, funding methods, platforms, spread types, customer support options, regulation and account types side by side.
We also have an indepth Top AI Investment Platforms for 2024 article further below. You can see it now by clicking here
We have listed top AI Investment Platforms below.
eToro is a multi-asset platform which offers both investing in stocks and cryptoassets, as well as trading CFDs.
Please note that CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 51% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work, and whether you can afford to take the high risk of losing your money.
This communication is intended for information and educational purposes only and should not be considered investment advice or investment recommendation. Past performance is not an indication of future results.
Copy Trading does not amount to investment advice. The value of your investments may go up or down. Your capital is at risk.
Copy trading is a portfolio management service, provided by eToro (Europe) Ltd., which is authorised and regulated by the Cyprus Securities and Exchange Commission.
Cryptoasset investing is highly volatile and unregulated in some EU countries. No consumer protection. Tax on profits may apply.
Don't invest unless you're prepared to lose all the money you invest. This is a high-risk investment, and you should not expect to be protected if something goes wrong. Take 2 mins to learn more.
eToro USA LLC does not offer CFDs and makes no representation and assumes no liability as to the accuracy or completeness of the content of this publication, which has been prepared by our partner utilizing publicly available non-entity specific information about eToro.