AI day trading for 2024

We found 11 online brokers that are appropriate for Trading AI Day Platforms.

AI day trading Guide

Analysis by Andrew Blumer, Updated Last updated - October 08, 2024

AI Day Trading

AI day trading combines the power of artificial intelligence (AI) software and stock trading bots to provide traders with advanced capabilities in the financial markets. With AI software, including AI stock trading bots and AI trading software, traders can access sophisticated tools for trade ideas, stock picking, and trend prediction. These AI robots analyze market data, generate entry and exit signals, and offer trade signals based on risk analysis and technical analysis. AI day trading software empowers traders to develop a personalized trading style, make informed decisions in the broader market, and track performance using smart charts and strategy testers. As AI continues to evolve, it is expected to shape future trading trends in collaboration with financial institutions and technical analysts.

What is AI day trading, and how does it work?

AI day trading refers to using artificial intelligence (AI) technology and algorithms to automate and optimize the stock trading process within a single trading day. Using sophisticated algorithms and machine learning techniques, AI day trading systems analyze vast market data, including historical price data, real-time market trends, and news articles. These systems identify potentially profitable trading opportunities and automatically generate signals to execute trades' best ai stock trading call. By leveraging AI's computational power and speed, AI day trading aims to capitalize on short-term price movements and generate consistent profits in the stock market, ai trading profitable.

What are the key advantages of using AI for day trading compared to traditional methods?

Using AI for day trading offers several critical advantages over traditional methods:

  1. Speed and Efficiency: AI day trading software can process vast amounts of data and execute trades at lightning speed, enabling traders to capitalize on time-sensitive opportunities and execute trades quickly.

  2. Objective Decision-Making: AI-based trading decisions on data analysis and predefined rules, eliminating emotional biases and subjective judgments that can impact traditional trading approaches. This objective decision-making can lead to more disciplined and consistent trading outcomes.

  3. Data-Driven Insights: AI day trading systems analyze large volumes of historical and real-time market data, identifying patterns, trends, and correlations that human traders may overlook. This data-driven analysis can provide valuable insights and improve trading strategies.

  4. Adaptability to Market Conditions: AI day trading systems can adapt to changing market conditions and adjust their strategies accordingly. They continuously learn from new data and optimize algorithms to maximize performance in various market environments.

  5. 24/7 Monitoring: AI day trading software can monitor the markets round the clock, enabling traders to identify trading opportunities even when they are not actively watching the market.

  6. Reduced Human Error: AI systems are not prone to human errors and fatigue, which can lead to costly mistakes in manual trading. AI day trading minimizes the risk of human error, leading to more precise and consistent trading execution.

AI for day trading provides speed, objectivity, data-driven insights, artificial intelligence, and adaptability. It reduces the potential for human error, making it an attractive option for traders seeking to enhance their trading performance.

How does AI analyze market data and generate trading signals in day trading?

AI analyzes market data by leveraging advanced algorithms and machine learning techniques. In day trading, AI algorithms process vast amounts of historical and real-time market data, including stock prices, trading volumes, news articles, historical market data, and technical indicators.

  1. Data Gathering: AI systems collect and aggregate market data from various sources, such as financial databases, news outlets, and social media platforms.

  2. Data Preprocessing: AI can be use to filter and orgainise data by cleaning, organizing large financial datasets.

  3. Technical Analysis: AI algorithms utilize technical indicators like moving averages, RSI, to identify financial instrument chart patterns to manage risk. These indicators help AI systems generate trading signals buying and selling.

  4. Natural Language Processing (NLP): AI can read language, like fincial news for good and bad market sentiment.

  5. Machine Learning: AI algorithms employ machine learning methods to learn from historical data and refine their trading strategies continuously. They use past trading data to train predictive models that can recognize patterns and make accurate predictions about future market movements.

  6. Trading Signal Generation: Based on the analysis of market data and the application of trading rules and strategies, AI systems generate trading signals indicating when to buy or sell a stock.

By combining technical analysis, NLP, machine learning, and trading rules, AI systems analyze market data to generate various trading ideas and signals, enabling traders to make informed trading decisions.

Can AI day trading systems adapt to market conditions and adjust their strategies accordingly?

AI day trading systems are a trading technology designed to adapt to various market conditions and adjust their strategies accordingly. These automated trading software systems use advanced algorithms and machine-learning techniques to continuously learn from new market data and optimize their trading strategies.

  1. Machine Learning: AI day trading systems employ machine learning algorithms that can adapt to changing market conditions. They learn from historical data and identify patterns and trends that can guide their trading strategies.

  2. Real-Time Analysis: AI day trading systems continuously analyze real-time market data, including stock prices, trading volumes, and market trends. This real-time analysis allows the systems to react promptly to changing market conditions and adjust their trading strategies accordingly.

  3. Optimization: AI day trading systems optimize their strategies by evaluating the performance of past trades and adjusting parameters based on the analysis of historical data. This optimization helps improve trading performance and adapting to changing market dynamics.

  4. Dynamic Risk Management: AI day trading systems incorporate dynamic risk management techniques to adjust position sizes, stop-loss levels, and other risk parameters based on market volatility and risk assessments. This adaptive risk management helps mitigate potential losses during changing market conditions.

AI day trading systems employ adaptive algorithms, real-time analysis, quantitative trading, optimization, and dynamic risk management to adapt to various market conditions and maximize trading performance.

What trading strategies and indicators does AI use in day trading?

AI day trading systems employ various trading strategies and indicators to generate trading signals. These strategies' exit signals, trading strategy, and indicators include:

  1. Technical Analysis: AI day trading systems use technical indicators, trends, price reversals, and potential trading opportunities.

  2. Momentum Trading: AI systems employ momentum-based strategies to profit from continuing existing price trends. These strategies use indicators like the rate of price change and trading volume to identify stocks with strong momentum.

  3. Mean Reversion: AI systems also use mean reversion strategies, which aim to profit from the tendency of prices to revert to their average or historical norms. Mean reversion strategies identify stocks that have deviated significantly from their average price and present opportunities for price correction.

  4. Breakout Trading: AI day trading systems utilize breakout strategies to identify stocks experiencing a significant price breakout from a defined range or pattern. Breakout strategies capture the potential momentum and volatility associated with such price movements.

  5. Pattern Recognition: AI algorithms can recognize and analyze various chart patterns, such as triangles, double tops/bottoms, and head and shoulders patterns. These patterns may indicate potential price reversals or continuation patterns, which can guide trading decisions.

  6. Sentiment Analysis: AI systems incorporate sentiment analysis techniques to gauge market sentiment based on news articles, social media posts, and other textual data. Positive or negative sentiments can impact stock prices and AI day trading systems can adjust their strategies accordingly.

  7. Machine Learning-Based Strategies: AI day trading systems use machine learning algorithms to develop trading strategies based on historical data. These strategies can adapt to changing market conditions and identify patterns that human traders may overlook.

  8. Combination Strategies: AI day trading systems often combine multiple strategies and indicators to generate more robust trading signals. By considering various aspects of market behaviour, these systems aim to increase the accuracy and reliability of their trading recommendations.

The specific strategies and indicators employed by AI day trading systems may vary depending on the various trading platform used and algorithms. However, the overarching goal of day traders is to combine technical analysis, pattern recognition, sentiment analysis, and machine learning to identify profitable trading opportunities.

How accurate and reliable are AI day trading systems in predicting market movements?

AI day trading systems can provide accurate and reliable predictions of market movements. Still, it is essential to understand that no automated trading system can predict market movements completely. The accuracy and reliability of the bear market move of AI day trading systems depend on various factors, including the quality and quantity of data, the effectiveness of the algorithms, and the prevailing market conditions.

  1. Historical Performance: AI day trading systems are often evaluated based on historical performance. By backtesting their strategies on historical data, these systems can demonstrate their accuracy and reliability in capturing profitable trading opportunities. However, past performance does not guarantee future results.

  2. Data Quality: The accuracy and reliability of AI day trading systems are influenced by the quality and relevance of the data used for analysis. Access to reliable and comprehensive market data is crucial for accurate predictions.

  3. Algorithm Effectiveness: The performance of AI day trading systems relies on the algorithms' effectiveness. The algorithms should be capable of identifying meaningful patterns, adapting to changing market conditions and adjusting strategies accordingly.

  4. Market Conditions: The accuracy of AI day trading systems can be affected by market conditions, including volatility, liquidity, and unexpected events. Rapid or extreme market fluctuations can challenge the accuracy of predictions.

  5. Risk Management: Effective techniques are critical for reliable and consistent performance. AI day trading systems should incorporate risk management strategies to mitigate potential losses and protect capital.

It's important to note that AI day trading systems assist traders in making informed decisions. While they can provide valuable insights and potentially improve trading performance, traders should exercise caution, conduct their analysis, and consider multiple factors before executing trades based on AI-generated predictions.

What data sources does AI day trading utilize, and how does it incorporate them into its analysis?

AI day trading systems utilize various data sources to gather information about the stock market, market conditions, stock trades, and individual stocks. These data sources can include:

  1. Market Data Feeds: AI day trading systems can access real-time market data feeds, which provide up-to-the-minute information on stock prices, trading volumes, bid/ask spreads, and other relevant market data. This data allows AI systems to make decisions based on the latest information.

  2. Financial News and Articles: AI day trading systems collect and analyze financial news articles from reputable sources. By incorporating natural language processing (NLP) techniques, these systems can extract relevant information from news articles and gauge market sentiment.

  3. Company Filings and Reports: AI systems may collect and analyze company filings, such as quarterly reports, earnings announcements, and financial statements. These filings provide insights into a company's financial health, performance, and potential catalysts that may impact its stock price.

  4. Social Media and Online Forums: AI day trading systems can monitor social media platforms and online forums to capture discussions and sentiments about specific stocks. Analyzing social media sentiment can provide additional insights into market trends and investor sentiment.

  5. Technical Indicators and Chart Patterns: AI day trading systems utilize historical price data and technical indicators to monitor patterns and trends in stock price movements. Technical indicators commonly include moving averages, MACD, RSI, and Bollinger Bands.

AI day trading systems collect and analyze data from these sources to comprehensively understand market conditions, individual stocks, and potential trading opportunities to sell stocks. AI stock trading systems aim to generate more accurate and informed trading decisions by processing and integrating multiple data points.

Can AI day trading systems handle high-frequency trading and execute trades quickly?

AI day trading systems are well-suited to handle high-frequency trading and execute trades quickly. The speed and efficiency of AI systems allow them to process vast amounts of data and generate trading signals in real time, enabling rapid decision-making and trade execution on ai trading platforms.

  1. Algorithmic Efficiency: AI day trading systems utilize algorithms optimized for speed and efficiency. These algorithms can analyze market data, perform complex calculations, and generate trading signals within milliseconds.

  2. Automated Trade Execution: AI day trading systems can be integrated with trading platforms and brokerage accounts, allowing for automated trade execution. When a trading signal is generated, AI systems can automatically close trades on behalf of the trader, eliminating the need for manual intervention.

  3. Low Latency Connectivity: AI day trading systems often employ low latency connectivity to ensure minimal delay between receiving market data and executing trades. It reduces the risk of missed trading opportunities and allows for timely execution in fast-paced markets.

  4. Colocation Services: Some AI day trading systems utilize colocation services, which involve locating the trading servers near the stock exchange's data centre. It further reduces latency and enables faster trade execution.

  5. High-Speed Data Feeds: AI day trading systems rely on high-speed data feeds that provide real-time market data with minimal delay. These data feeds allow AI systems to make informed trading decisions based on the most up-to-date information.

AI day trading systems' ability to handle high-frequency trading and execute trades quickly makes them well-suited for capturing short-term trading opportunities and taking advantage of price fluctuations in fast-paced financial markets.

How does AI handle risk management and minimize potential losses in day trading?

Risk management is critical to AI day stock trading algorithms and systems. These systems incorporate risk management techniques to minimize potential losses and protect capital. Here are some ways AI handles risk management in the day stock trading software:

  1. Position Sizing: AI day trading systems determine appropriate positions based on risk parameters and account size. AI systems aim to manage risk and prevent excessive exposure to any single trade by allocating a suitable percentage of capital to each trade.

  2. Stop Loss Orders: AI systems implement stop loss orders, predefined price levels at which a trade will be automatically closed to limit potential losses. Stop loss orders help control risk by exiting a trade if the price moves against the expected direction.

  3. Risk-Reward Ratio: AI day trading systems consider the risk-reward ratio for each trade, assessing the potential reward relative to the potential risk. By targeting trades with favourable risk-reward ratios, AI systems aim to maximize potential profits while minimizing potential losses.

  4. Volatility Adjustments: AI systems may adjust position sizes or risk parameters based on market volatility. During periods of higher volatility, AI systems may reduce position sizes or widen stop loss levels to account for increased price fluctuations.

  5. Diversification: AI day trading systems often employ portfolio diversification strategies to spread risk across different stocks, sectors, or asset classes. Diversification can mitigate the impact of adverse events on a single position and reduce overall portfolio risk.

By combining these risk management techniques, AI day trading systems aim to minimize potential losses experienced traders and protect capital. However, it is essential to note that no trading system, including AI or trading bots, can eliminate the risk of losses, and traders should exercise caution and monitor their trading activities closely.

What is the historical performance of AI day trading systems compared to other trading methods?

The historical performance of AI day trading systems has shown promising results compared to other trading methods. While individual system performance can vary, AI day trading systems have demonstrated the potential for generating consistent profits for ai trading strategies. Here are some factors that contribute to AI stock trading software and their performance:

  1. Speed and Efficiency: AI day trading systems can process large amounts of data and execute trades rapidly, allowing them to capture short-term trading opportunities more effectively than manual trading methods.

  2. Data Analysis: AI systems can analyze vast amounts of historical and real-time market data, enabling them to identify patterns, trends, and correlations that may not be evident to human traders. This data-driven analysis contributes to their ability to generate accurate trading signals.

  3. Objective Decision-Making: AI day trading systems base their trading decisions on predefined rules and algorithms, eliminating emotional biases that can impact human traders' decision-making. This objectivity can lead to more disciplined and consistent trading outcomes.

  4. Adaptability: AI day trading systems can adapt to changing market conditions and adjust their strategies accordingly. They continuously learn from new data and optimize algorithms to maximize performance in various market environments.

  5. Risk Management: AI systems incorporate risk management techniques to minimize potential losses and protect capital. By implementing position sizing, stop loss orders and risk-reward ratios, AI day trading systems aim to manage risk effectively.

It's important to note that while historical performance provides insights into the potential effectiveness trading success of AI day trading systems, it does not guarantee future results. Market conditions can change, and past performance may not indicate future performance. Traders and retail investors should exercise caution, conduct thorough research, and consider multiple factors when evaluating the performance of AI day trading systems.

How does AI select stocks or assets to trade in day trading, and what criteria does it consider?

AI day trading systems employ various criteria to select stocks or assets for trading. These criteria typically include a combination of fundamental analysis and technical indicators. Here are some factors AI considers when selecting to trade stocks or assets:

  1. Fundamental Analysis: AI day trading systems can analyze fundamental data, such as earnings reports, financial statements, and news releases, to evaluate a company's financial health and performance. Fundamental analysis helps AI systems identify stocks with strong growth potential, solid financials, and positive market sentiment.

  2. Technical Indicators: AI systems utilize technical analysis and various technical indicators to assess stock price movements, trends, and patterns. Technical indicators commonly include moving averages, MACD, RSI, and Bollinger Bands. These indicators help AI systems identify potential entry and exit points.

  3. Volatility: AI day trading systems may consider volatility as a criterion for selecting stocks or assets. Higher volatility can provide increased trading opportunities and potential for profit. AI systems may target stocks that exhibit sufficient volatility to generate profitable trades.

  4. Liquidity: AI systems prioritize stocks or assets with sufficient liquidity to ensure ease of trading and minimize the impact of slippage. Stocks with higher trading volumes and tighter bid-ask spreads are generally preferred.

  5. Correlations: AI day trading systems may consider correlations between stocks or assets to identify trading opportunities. Positive or negative correlations between assets can help AI systems diversify risk and capture potential price movements based on intermarket relationships.

  6. News and Sentiment Analysis: AI systems incorporate natural language processing (NLP) techniques to analyze news articles, social media sentiment, and other textual data. AI systems can select stocks based on positive or negative sentiment by assessing market sentiment and identifying news events that may impact stock prices.

  7. Historical Performance: AI day trading systems often analyze historical performance data to identify stocks or assets exhibiting favourable price movements or patterns. By leveraging historical performance, AI systems aim to identify potentially profitable trading opportunities.

Each factor's specific criteria and weighting may vary depending on the AI day trading system and underlying algorithms. The same trading bot aims to identify stocks, hedge funds, or assets that align with predefined trading strategies and have the highest profit potential.

AI Day Trading Verdict

AI day trading has revolutionized the way traders engage in the financial markets. Integrating trade ideas, AI stock trading bots, and artificial intelligence trading software has enabled traders to access advanced tools for precise decision-making. With stock trading bots and AI software, traders can generate trade signals, execute trades, and track performance using smart charts and strategy testers. AI day trading accommodates various trading styles and considers broader market trends, supported by risk analysis and technical indicators. The collaboration between AI robots and financial institutions and insights from technical analysts pave the way for future trends in AI-driven trading. As AI software continues to evolve, it holds tremendous potential for enhancing trading efficiency and profitability while providing a comprehensive trading experience for traders.

AI day trading has revolutionized the way investors approach the stock and currency markets. With advanced algorithms and real-time analysis, AI day trading tools enable traders to make quick and well-informed decisions, maximizing potential profits. Investors also benefit from the accuracy of AI stock picker tools, which help in identifying lucrative stocks from a vast pool of options.

For those interested in exploring AI-driven trading, platforms like Trading ideas with AI offer data-driven insights and strategies. Additionally, mobile applications such as AI Investing have made it convenient for traders to execute trades on the go.

We have conducted extensive research and analysis on over multiple data points on AI day trading to present you with a comprehensive guide that can help you find the most suitable AI day trading. Below we shortlist what we think are the best AI Day Trading Platforms after careful consideration and evaluation. We hope this list will assist you in making an informed decision when researching AI day trading.

Reputable AI day trading Checklist

Selecting a reliable and reputable online AI Day Trading 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 Day Trading Platforms more confidently.

Selecting the right online AI Day Trading 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.

Compare Key Features of AI Day Trading Platforms in Our Brokerage Comparison Table

When choosing a broker for AI Day Trading Platforms trading, it's essential to compare the different options available to you. Our AI Day Trading 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 Day Trading Platforms broker that best suits your needs and preferences for AI Day Trading Platforms. Our AI Day Trading Platforms broker comparison table simplifies the process, allowing you to make a more informed decision.

Top 15 AI Day Trading Platforms of 2024 compared

Here are the top AI Day Trading Platforms.

Compare AI Day Trading Platforms brokers for min deposits, funding, used by, benefits, account types, platforms, and support levels. When searching for a AI Day Trading Platforms broker, it's crucial to compare several factors to choose the right one for your AI Day Trading Platforms needs. Our comparison tool allows you to compare the essential features side by side.

All brokers below are AI Day Trading Platforms. Learn more about what they offer below.

You can scroll left and right on the comparison table below to see more AI Day Trading Platforms that accept AI Day Trading Platforms clients.

Broker IC Markets Roboforex eToro XTB XM Pepperstone AvaTrade FP Markets EasyMarkets SpreadEx FXPro
Rating
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 10 100 No minimum deposit 5 200 100 100 100 1 100
Funding
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Used By 180,000+ 1,000,000+ 35,000,000+ 1,000,000+ 10,000,000+ 400,000+ 300,000+ 10,000+ 142,500+ 10,000+ 1,866,000+
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  • Offers STP
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All AI Day Trading Platforms in more detail

You can compare AI Day Trading 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 Day Trading Platforms for 2024 article further below. You can see it now by clicking here

We have listed top AI Day Trading Platforms below.

AI day trading List

IC Markets
(4/5)
Min deposit : 200
IC Markets was established in 2007 and is used by over 180000+ traders. Losses can exceed deposits IC Markets offers Forex, CFDs, Spread Betting, Share dealing, Cryptocurrencies. Cryptocurrency availability with IC Markets is subject to regulation.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, MT5, Mirror Trader, Web Trader, cTrader, Windows, Mac, iOS, Android

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by Seychelles Financial Services Authority (FSA) (SD018)
Roboforex
(4/5)
Min deposit : 10
Roboforex was established in 2009 and is used by over 1000000+ traders. Losses can exceed deposits Roboforex offers Forex, CFDs.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, MT5, Mac, Web Trader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by 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
eToro
(4/5)
Min deposit : 100
Visit eToro Try a Demo Read review

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.

eToro was established in 2007 and is used by over 35000000+ traders. 51% of retail investor accounts lose money when trading CFDs with this provider. eToro offers Social Trading, Stocks, Commodities, Indices, Forex (Currencies), CFDs, Cryptocurrency, Exchange Traded Funds (ETF), Index Based Funds. Cryptocurrency availability with eToro is subject to regulation. Buying and selling real cryptocurrency assets may not be available in your country through eToro. Please check the latest information made available on their website.

Funding methods

Bank transfer Credit Card Paypal

Platforms

Web Trader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by 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
XTB
(4/5)
Min deposit : 0
XTB was established in 2002 and is used by over 1000000+ traders. 76-83% 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. XTB offers Forex, CFDs, Cryptocurrency. Cryptocurrency availability with XTB is subject to regulation.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, Mirror Trader, Web Trader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by 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)
XM
(4/5)
Min deposit : 5
XM was established in 2009 and is used by over 10000000+ traders. CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 73.91% 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. XM offers Forex Trading, Stocks CFDs, Commodities CFDs, Equity Indices CFDs, Precious Metals CFDs, Energies CFDs.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, MT5, Mac, Web Trader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account XM Swap-Free account (XM Ultra Low Account) VIP account
Regulated by 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
Pepperstone
(4/5)
Min deposit : 200
Pepperstone was established in 2010 and is used by over 400000+ traders. 75-95 % of retail investor accounts lose money when trading CFDs Pepperstone offers Forex, CFDs, Social Trading.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, MT5, TradingView, DupliTrade, myFXbook, Mac, Web Trader, cTrader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account Pro Account VIP account
Regulated by 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
AvaTrade
(4/5)
Min deposit : 100
AvaTrade was established in 2006 and is used by over 300000+ traders. 71% of retail investor accounts lose money when trading CFDs with this provider AvaTrade offers Forex, Cryptocurrencies, Commodities, Indices, Stocks, Bonds, Vanilla Options, ETFs, CFDs, Spread Betting, Social Trading . Cryptocurrency availability with AvaTrade is subject to regulation.

Funding methods

Bank transfer Credit Card Paypal

Platforms

Web Trader, MT4, MT5, AvaTradeGo, AvaOptions, DupliTrade, ZuluTrade, Mobile Apps, ZuluTrade, DupliTrade, MQL5

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by 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)
FP Markets
(4/5)
Min deposit : 100
FP Markets was established in 2005 and is used by over 10000+ traders. Losses can exceed deposits FP Markets offers Forex, CFDs, Bonds.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, MT5, cTrader, TradingView, IRESS, Mac, Web Trader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by 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)
EasyMarkets
(4/5)
Min deposit : 100
easyMarkets was established in 2001 and is used by over 142500+ traders. Your capital is at risk easyMarkets offers CFD, Forex, Commodities, Indices, Shares, Crypto. Cryptocurrency availability with easyMarkets is subject to regulation.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, MT5, Web Trader, TradingView, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by 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)
SpreadEx
(4/5)
Min deposit : 1
SpreadEx was established in 1999 and is used by over 10000+ traders. Losses can exceed deposits SpreadEx offers Forex, CFDs, and spread betting.

Funding methods

Bank transfer Credit Card Paypal

Platforms

Web Trader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by FCA (Financial Conduct Authority) (190941), Gambling Commission (Great Britain) (8835)
FXPro
(4/5)
Min deposit : 100
FxPro was established in 2006 and is used by over 1866000+ traders. 75.78% of retail investor accounts lose money when trading CFDs and Spread Betting with this provider FxPro offers Forex trading, Share Dealing, Spot Indices, Futures, Spot Metals and Spot Energies.

Funding methods

Bank transfer Credit Card Paypal

Platforms

MT4, MT5, cTrader, Tablet & Mobile apps

Customer support

Live chat Phone support Email support

Account Types

Micro account Standard account ECN account
Islamic account VIP account
Regulated by 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)

Learn more Learn more about IC Markets.
Losses can exceed deposits
TRADE NOW Try IC Markets today
Losses can exceed deposits