We found 11 online brokers that are appropriate for Trading Futures Brokers.

In just this last year, the intersection of AI technologies and futures trading has revolutionized financial markets. By leveraging machine learning algorithms to analyze vast datasets, AI trading platforms are transforming how traders navigate the dynamic futures market. Platforms like Deepseek, OpenAI, and Google Gemini demonstrate the potential of cutting-edge AI solutions in analyzing market trends and providing actionable insights. For example, hedge funds use AI to identify trading opportunities across global markets, processing billions of data points in seconds. While the benefits are significant, understanding the risks and adopting a balanced approach is key to success.

While actual AI trading strategies can involve more complex approaches, this example showcases how AI can be incorporated throughout various stages of a futures trade. Assuming you opt to trade Micro E-mini contracts due to capital limits, let's incorporate AI:
AI can analyze vast amounts of market data to identify trends, potential reversals, or continuation patterns in the S&P 500 index. Machine learning models can predict short-term movements based on historical data.
AI algorithms can help manage risk by calculating optimal position sizes and stop-loss orders based on your risk tolerance and market volatility. This ensures that you are not overly exposed to adverse market movements.
AI can also assist in executing trades at optimal times, trying to minimize slippage and manage cost efficiency by analyzing real-time market conditions and order book dynamics.
Throughout the trade, AI can continuously monitor market conditions and automatically make adjustments to the trade, such as moving stop-loss levels or taking partial profits at predetermined thresholds.
In this example, AI is used to enhance decision-making processes, from analyzing market data to managing and executing trades, all tailored to fit within the capital constraints and risk profile of the trader. Always remember, trading involves risks, and it's crucial to understand these risks and manage them appropriately, regardless of the tools and technologies used.
For instance, consider trading Natural Gas Futures, currently priced at 3.430 USD. By inputting historical price data and market indicators into AI platforms like Google Gemini, traders can receive predictions for potential price movements. Suppose ChatGPT predicts that, by 2025, Natural Gas Futures could rise to 4.200 USD under bullish conditions or fall to 2.800 USD if bearish sentiment dominates. These scenarios allow traders to plan their entry and exit strategies effectively.
When prices increase, profits arise from long positions. For example, if you purchase 1,000 units at 3.430 USD and the price rises to 4.200 USD, your profit would be 770 USD (4.200 - 3.430). Conversely, a decrease to 2.800 USD would result in a loss of 630 USD per 1,000 units. Such scenarios highlight the importance of managing risks using stop-loss orders and diversifying portfolios.
AI tools also aid in monitoring and adapting to sudden market changes. For example, Claude.ai can assess geopolitical events or weather patterns that may affect commodity prices, providing traders with real-time updates and alternative strategies. Additionally, Google Gemini integrates macroeconomic data to refine its predictions, offering a robust outlook for financial markets.
However, trading with AI is not without risks. Over-reliance on AI predictions may lead to unexpected losses, especially during high volatility periods when market conditions deviate from historical patterns. Additionally, errors in data input or algorithm misinterpretation can result in flawed predictions. Traders must validate AI insights with their analysis and stay informed about market conditions.
In 2025, AI forecasts suggest Natural Gas Futures prices may range between 2.800 USD and 4.200 USD, depending on economic growth, energy demand, and environmental policies. Traders using tools like ChatGPT and Google Gemini should incorporate risk management practices, such as setting realistic price targets and preparing for adverse movements, to navigate market uncertainties effectively.


I use AI to recognize and analyze complex chart patterns for trading by leveraging sophisticated techniques. AI employs Pattern Recognition Algorithms to identify various chart patterns, like triangles, flags, and head and shoulders formations, within historical price data. These algorithms meticulously scan through large datasets, pinpointing patterns that may signal potential market movements. While chart patterns are valuable, I know they aren't foolproof, so I always combine them with other technical analysis methods and solid risk management strategies.
Additionally, I rely on AI's Machine Learning Models, trained on historical price data, to recognize recurring chart patterns and predict their potential effects on future price movements. By continuously learning from past data, AI adapts to changing market conditions, improving its accuracy over time. I also utilize Feature Extraction techniques to pull relevant information from historical price charts, like moving averages, trend lines, support and resistance levels, and volume indicators. These insights help me accurately identify and analyze complex chart patterns.
Furthermore, I use AI's Pattern Matching methodologies to compare current price movements with patterns from historical data. This comparative approach allows me to spot similarities and anticipate potential trading opportunities or trend reversals. By combining this with Statistical Analysis, I assess the reliability and significance of historical patterns in predicting future market movements. AI also employs Pattern Validation techniques to confirm identified patterns using other market indicators and data points, ensuring that trading signals are robust and reliable for building effective strategies.
Yes, I can leverage AI to process vast amounts of data and predict future market movements. With advanced technologies, AI handles structured and unstructured data, like market trends, news articles, social media, and economic indicators. Parallel processing techniques allow me to analyze these large datasets in real time, reducing processing times and enabling timely market predictions. Distributed computing architectures further enhance scalability and performance by distributing data processing tasks across multiple nodes.
AI's deep learning neural networks empower me to extract valuable insights from large datasets through multiple layers of abstraction. This capability, known as Deep Learning, improves the accuracy of market predictions. I also use Data Fusion to integrate various data sources—financial data, sentiment indicators, and macroeconomic factors—to create comprehensive predictive models that reflect the complex dynamics of the market. With Continuous Learning, AI refines its predictive models over time, adapting to new data and improving its forecasting accuracy. However, I always remember that unforeseen events can influence market movements, so I use AI predictions as one tool among many for informed decision-making.
Responsible AI use is key. I prioritize my own research and risk management strategies alongside AI-generated insights.
AI plays a vital role in enhancing my trading strategies and boosting returns. While it’s a powerful tool, I know it’s not a guaranteed path to success. Here’s how I make the most of AI:
AI analyzes vast amounts of historical market data, identifying patterns, trends, and correlations that guide me in developing and optimizing trading strategies.
Using AI-driven algorithms, I execute trades based on predefined rules and criteria. This automation ensures precise and efficient strategy execution, improving overall performance.
AI enables me to dynamically adapt trading strategies to changing market conditions, adjusting parameters in real time to seize opportunities or mitigate risks effectively.
AI incorporates advanced risk management techniques into my strategies, optimizing risk-adjusted returns and safeguarding capital in volatile markets.
AI helps me optimize portfolio composition and asset allocation, balancing risk and reward to maximize returns while minimizing downside risk.
By monitoring market conditions and portfolio performance in real time, AI allows me to make prompt, informed decisions, seizing opportunities or correcting course as needed.
These mechanisms give me a competitive edge in today’s fast-moving financial markets.

Yes, there’s substantial evidence supporting AI’s effectiveness in trading. Backtesting results show that AI-driven strategies consistently outperform traditional ones under various market conditions. Real-world performance reported by hedge funds and investment firms highlights significant improvements in profitability after adopting AI-based systems.
Academic research also validates AI’s ability to predict market trends, generate alpha, and outperform benchmarks over time. Additionally, the widespread adoption of AI technologies by financial institutions demonstrates confidence in its ability to deliver superior trading results. Peer-reviewed publications further confirm the reliability of AI in generating profitable strategies.
Although AI offers proven benefits, I understand that success also depends on factors like market conditions, data quality, and algorithm design. I always combine AI-driven strategies with sound risk management and human oversight.
AI helps me reduce human errors by eliminating emotional decision-making. By relying on algorithms and objective data, AI avoids biases like fear or greed, which can lead to irrational decisions. It also ensures consistent execution of trades based on predefined rules, removing cognitive and behavioral pitfalls.
With automated processes, AI minimizes manual errors in order entry, timing, and position sizing. Continuous Monitoring alerts me to potential risks or deviations, enabling me to act quickly. AI also learns from past mistakes, refining strategies to prevent repeating errors and improving its overall effectiveness.
No, I use AI for data-driven analysis and statistical models rather than astrological timing. AI focuses on quantitative metrics like price movements, volume trends, and market sentiment, which have proven predictive value. Incorporating astrological factors introduces subjectivity and bias, which I avoid by prioritizing empirical evidence and rigorous analysis.
By relying on scientifically validated methodologies, AI ensures accuracy and reliability in trading decisions. While unconventional methods like astrology may intrigue some traders, I stick to robust, data-driven strategies to navigate financial markets effectively.
AI employs machine learning to analyze historical data, identifying patterns and trends to forecast future price movements in futures trading. For instance, an AI platform might detect seasonal trends in agricultural commodities, such as wheat prices rising during winter due to supply disruptions. An example: wheat futures prices increased from $6.50 to $7.80 per bushel in a recent winter period, following a supply constraint.
These systems also utilize predictive analytics to optimize trading strategies based on past performance. For example, analyzing a decade's worth of data from the S&P 500 index, an AI tool might suggest a strategy that performs well during volatile markets, helping traders achieve a 15% annualized return.

Navigating changing market conditions in futures trading can be challenging for human traders, but AI systems bring unique advantages, helping traders stay ahead of the curve. Here’s how AI excels:
AI systems handle massive amounts of market data in real time. For example, an AI tool could analyze price movements, economic indicators, and global news to predict gold futures’ response to Federal Reserve interest rate changes. A case in point: gold prices rose from $1,820 to $1,890 per ounce within hours of an interest rate hike, an opportunity identified by AI systems instantly.
Human traders may panic during market crashes, but AI operates without emotional bias. For instance, during a 10% market dip, AI might execute calculated trades that recover losses, while human traders might lock in losses due to fear.
AI algorithms excel at learning from historical data and adapting to market changes. For example, an AI system trading Bitcoin futures might identify price patterns linked to regulatory announcements, helping traders earn $5,000 on a $50,000 position during a price surge from $26,000 to $30,000.
AI can calculate the ideal position size for trading natural gas futures by analyzing market volatility. For instance, with volatility at 4%, AI might recommend a $20,000 position for a trader with $200,000 capital, reducing exposure to sharp price declines.
AI systems monitor markets around the clock. For example, an AI system might identify a rally in Asian stock indices overnight and execute profitable trades for a U.S.-based trader.
AI systems eliminate human errors by executing trades with precision. For instance, an AI executing high-frequency trades could capitalize on price gaps of $0.05 per share in milliseconds, achieving consistent profits.
Artificial Intelligence (AI) is instrumental in leveraging historical data to forecast future price movements in futures trading. One way AI achieves this is by employing machine learning algorithms and pattern recognition. AI analyzes vast amounts of historical price data to identify recurring patterns and trends. These patterns serve as valuable indicators for predicting future market directions. Additionally, AI utilizes machine learning models, continuously learning from past performance to refine its predictive capabilities. By incorporating machine learning techniques, AI systems become more adept at recognizing subtle patterns and adapting to evolving market dynamics.
Furthermore, AI utilizes technical analysis methods, such as chart patterns and price movements, to assess historical price data and anticipate future market directions. This approach allows AI to extract valuable insights from historical data, providing traders with a comprehensive understanding of market behavior. Additionally, AI technologies excel in big data processing, efficiently handling large datasets to extract relevant information from historical market data. This capability enables AI systems to make accurate predictions by analyzing vast amounts of data and identifying meaningful correlations between different market variables.
Finally, AI systems employ predictive analytics to develop models that anticipate future price movements with high accuracy. By analyzing historical price data alongside other market indicators, AI systems can develop predictive models that enhance trading performance. Furthermore, AI-driven algorithms utilize historical data to develop sophisticated trading strategies that adapt to changing market conditions. These algorithmic trading strategies optimize trading performance over time, leveraging historical data to make informed decisions and capitalize on market opportunities.

AI offers traders advanced tools to enhance futures trading strategies and maximize returns. Here’s how AI transforms futures trading:
Using Natural Language Processing (NLP), AI analyzes sentiment from news and social media. For instance, AI might gauge positive sentiment around Tesla stock during earnings season, helping traders capture a $20 increase per share within days.
AI evaluates risks and recommends strategies. For example, during a tech sell-off, AI might suggest shorting Nasdaq futures at $15,000 while holding S&P 500 ETFs, mitigating portfolio losses.
AI identifies patterns like head-and-shoulders formations in price data. For instance, spotting a bullish flag pattern in crude oil futures, AI might recommend a long position, resulting in a $1,000 gain on a $10,000 trade as prices rise by $5 per barrel.
AI analyzes diverse datasets, such as weather and inventory reports. For example, it could predict corn futures prices increasing from $5.20 to $6.00 per bushel based on forecasts of reduced crop yields.
AI automates portfolio adjustments, minimizing errors. For example, an AI might rebalance a $100,000 portfolio during market turbulence, preventing a $5,000 loss.
While AI offers powerful tools for futures trading, understanding its limitations is critical:
Overfitting: Models overly tailored to historical data may underperform in new conditions.
Data Quality: Poor-quality data can lead to inaccurate predictions.
Market Complexity: AI may struggle to capture all influencing factors, such as geopolitical events.
Ethical Considerations: Adhering to ethical standards prevents misuse of AI for market manipulation.
Use AI insights alongside human judgment. For example, traders might confirm AI-recommended trades during high-impact economic events, such as a central bank’s interest rate decision. An AI model could identify opportunities in currency futures during an ECB (European Central Bank) policy announcement, but human expertise would validate the trade based on macroeconomic factors.
Employ multiple AI-driven strategies to reduce risks and enhance adaptability. For instance, combining a momentum-based AI strategy for identifying trends in energy futures with a mean-reversion strategy for equity index futures allows traders to spread risks across different asset classes and market conditions.
Regular updates ensure AI models remain effective in changing markets. For example, an AI model used for trading commodity futures may require recalibration during supply chain disruptions, such as those seen in the oil market during geopolitical crises, to maintain accuracy and reliability.
Set clear stop-loss levels and position sizes to minimize losses, even with AI assistance. For example, when trading crude oil futures, an AI system might suggest optimal position sizes based on historical volatility, while traders implement stop-loss orders to manage downside risk during sudden price swings.
Uphold ethical and regulatory standards to ensure transparency and sustainability in AI-driven trading. For example, adhering to MiFID II regulations in Europe ensures that AI trading algorithms used for equity futures comply with stringent reporting and risk management standards, maintaining trust and accountability in the market.

The future of AI in futures trading is bright, offering data-driven decision-making tools that help traders navigate complex markets effectively. By combining AI’s capabilities with strategic human oversight, traders can maximize opportunities and stay ahead of the competition.
In Europe and the UK, AI is increasingly transforming futures trading. European organizations like the European Securities and Markets Authority (ESMA) are actively monitoring the integration of AI in financial markets to ensure transparency and protect investors. In the UK, the Financial Conduct Authority (FCA) is focused on fostering innovation while regulating AI’s application in trading to mitigate risks and encourage fair practices.
Learn more about AI’s role in trading from verified sources like the U.S. Securities and Exchange Commission (SEC), the Commodity Futures Trading Commission (CFTC), or European and UK authorities such as ESMA and the FCA.
We have conducted extensive research and analysis on over multiple data points on Ai Futures Trading to present you with a comprehensive guide that can help you find the most suitable Ai Futures Trading. Below we shortlist what we think are the best Futures Brokers after careful consideration and evaluation. We hope this list will assist you in making an informed decision when researching Ai Futures Trading.
Selecting a reliable and reputable online Futures Brokers 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 Futures Brokers more confidently.
Selecting the right online Futures Brokers 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 Futures Brokers trading, it's essential to compare the different options available to you. Our Futures Brokers 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 Futures Brokers broker that best suits your needs and preferences for Futures Brokers. Our Futures Brokers broker comparison table simplifies the process, allowing you to make a more informed decision.
Here are the top Futures Brokers.
Compare Futures Brokers brokers for min deposits, funding, used by, benefits, account types, platforms, and support levels. When searching for a Futures Brokers broker, it's crucial to compare several factors to choose the right one for your Futures Brokers needs. Our comparison tool allows you to compare the essential features side by side.
All brokers below are Futures Brokers. Learn more about what they offer below.
You can scroll left and right on the comparison table below to see more Futures Brokers that accept Futures Brokers clients.
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IC Markets
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Roboforex
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eToro
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XTB
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XM
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Pepperstone
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AvaTrade
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FP Markets
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EasyMarkets
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SpreadEx
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FXPro
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| Regulation | International Capital Markets Pty Ltd (Australia) (ASIC) Australian Securities & Investments Commission Licence No. 335692, Seychelles Financial Services Authority (FSA) (SD018), IC Markets (EU) Ltd (CySEC) Cyprus Securities and Exchange Commission with License No. 362/18, Capital Markets Authority(CMA) Kenya IC Markets (KE) Ltd, Securities Commission of The Bahamas (SCB) IC Markets (Bahamas) Ltd | RoboForex Ltd is authorised and regulated by the Financial Services Commission (FSC) of Belize under licence No. 000138/32, under the Securities Industry Act 2021, RoboForex Ltd is an (A category) member of The Financial Commission, also RoboForex Ltd is a participant of the Financial Commission 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, eToro (ME) Limited (ADGM) Abu Dhabi (UAE) number 220073, eToro (Europe) Ltd (AMF) Autorité des marchés financiers as a digital assets provider France | FCA (Financial Conduct Authority reference 522157) XTB Limited, CySEC (Cyprus Securities and Exchange Commission reference 169/12), DFSA (Dubai Financial Services Authority XTB MENA Limited licensed 8 July 2021), FSA (Financial Services Authority Seychelles license number SD148), FSCA (Financial Sector Conduct Authority XTB Africa (Pty) Ltd licensed 10 August 2021), KNF (Komisja Nadzoru Finansowego Polish Financial Supervision Authority) | Financial Sector Conduct Authority (FSCA) (49976) XM ZA (Pty) Ltd, Financial Services Commission (FSC) (000261/27) XM Global Limited, 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) Ava Trade Japan K.K. (1574), Abu Dhabi Global Markets (ADGM) / Financial Regulatory Services Authority (FRSA) Ava Trade Middle East Ltd (190018), Central Bank of Ireland (C53877) AVA Trade EU Ltd, Polish Financial Supervision Authority (KNF) AVA Trade EU Ltd (branch authorisation), British Virgin Islands Financial Services Commission (BVI) Ava Trade Markets Ltd (SIBA/L/13/1049), Israel Securities Authority (ISA) ATrade Ltd (514666577) | 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) (SD 130) | Easy Forex Trading Ltd is regulated by CySEC (License Number 079/07). Easy Forex Trading Ltd is the only entity that onboards EU clients, easyMarkets Pty Ltd is regulated by ASIC (AFS License No. 246566), EF Worldwide Ltd in Seychelles is regulated by FSA (License Number SD056), EF Worldwide Ltd in the British Virgin Islands is regulated by FSC (License Number SIBA/L/20/1135) | FCA (Financial Conduct Authority) (190941), Gambling Commission (Great Britain) (8835), licence in Ireland as remote bookmaker for fixed odds betting licence number 1016176 | 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+ | 40,000,000+ | 2,000,000+ | 15,000,000+ | 750,000+ | 400,000+ | 200,000+ | 250,000+ | 60,000+ | 11,200,000+ |
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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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| Learn More |
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| Risk Warning | Losses can exceed deposits | Losses can exceed deposits | 46% of retail investor accounts lose money when trading CFDs with this provider. | 69% - 80% 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. 75.99% 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. | 72-95 % of retail investor accounts lose money when trading CFDs | 57% of retail investor accounts lose money when trading CFDs with this provider | Losses can exceed deposits | Your capital is at risk | 62% of retail CFD accounts lose money | 74% 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, AO, BR, HR, GL, IS, IM, JM, FM, MC, NG, SI, | 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 Futures Brokers ratings, min deposits what the the broker offers, funding methods, platforms, spread types, customer support options, regulation and account types side by side.
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We have listed top Futures Brokers below.
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Please note that CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 46% 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.
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Losses can exceed deposits