We found 11 online brokers that are appropriate for Trading Algorithmic Brokers.
Algorithmic trading has revolutionized the landscape of the UK financial markets, redefining how trades are executed and strategies are implemented. With technological advancements and the proliferation of trading algorithms, algorithmic trading has gained immense popularity among market participants. This automated approach to trading leverages complex algorithms and high-speed execution to capitalize on market opportunities. It has transformed trading volumes, market liquidity, and the roles of traditional traders. However, algorithmic trading also poses risks and ethical concerns that must be carefully addressed. Understanding the role of algorithmic trading in the UK financial markets is crucial to navigating the evolving dynamics of this fast-paced and technology-driven domain of the algorithmic trading market.
Algorithmic trading uses pre-programmed trading algorithms to execute trade orders in financial markets automatically. In the UK, algorithmic trading has gained significant prominence. Trading algorithms, designed by algorithmic traders, analyze market data and execute trades at high speeds, leveraging automated controls and risk management systems. These algorithms utilize historical data, technical indicators, and market conditions to make trading decisions. Algorithmic trading systems are typically integrated into electronic trading platforms, allowing for the execution of trades with reduced costs and increased efficiency.
Algorithmic trading offers several advantages in the UK financial markets:
It enhances market liquidity by increasing overall trading volume and reducing bid-ask spreads.
Algorithmic trading strategies provide faster execution, reducing transaction costs.
Algorithmic trading allows for the precise implementation of trading strategies, enabling traders to capitalize on market opportunities.
However, there are some disadvantages to consider. Algorithmic trading can amplify market volatility and potentially lead to abrupt price movements, as demonstrated by the 'flash crash.' Moreover, reliance on complex computer algorithms carries the risk of technical glitches or erroneous trades, necessitating robust risk controls.
Algorithmic trading has experienced remarkable growth and prevalence in the UK financial markets. As technology has progressed, algorithmic trading has become the predominant influence in equity trading volume. Over recent years, these algorithmic trading strategies have extended their reach beyond equity markets to encompass various asset classes, including the forex market. Prominent institutional investors such as hedge funds and financial institutions are deeply involved in algorithmic trading, propelling its widespread adoption. Algorithmic traders continuously innovate and refine their trading algorithms, contributing to the steady rise of algorithmic trading in the UK financial markets.
Various algorithms are commonly used in the UK financial markets to facilitate algorithmic trading strategies. These algorithms can be widely categorized into two main groups: execution algorithms and smart order routing algorithms. Execution algorithms aim to optimize trade execution, focusing on achieving the best price for large orders while minimizing market impact. On the other hand, intelligent order routing algorithms dynamically route trade orders to different trading venues to access liquidity and achieve the best execution. Additionally, technical indicators and machine learning algorithms are utilized to identify patterns and trends, supporting the development of trading strategies in the UK financial markets.
Algorithmic trading has had a significant effect on market liquidity in the UK. By increasing overall trading volume and reducing bid-ask spreads, algorithmic trading has enhanced liquidity in the financial markets. The ability of algorithmic traders to provide liquidity through high-frequency trading and algorithmic trades has improved the efficiency of market transactions. Moreover, the rise of alternative trading systems, such as dark pools, has further contributed to the liquidity provision in the UK financial markets. However, it is essential to ensure that appropriate risk controls and market surveillance measures are in place to maintain market integrity and prevent potential market manipulation.
Algorithmic trading in the UK financial markets is subject to regulatory frameworks designed to ensure fair and orderly markets. The Financial Conduct Authority (FCA) oversees algorithmic trading activities and promotes market integrity. The FCA's regulations require market participants engaging in algorithmic trading to have appropriate risk controls, systems monitoring, and trading safeguards in place. These regulations aim to minimize potential disruptions caused by algorithmic trading and mitigate associated risks. Additionally, the Market Abuse Regulation (MAR) addresses market manipulation concerns related to algorithmic trading by imposing prohibitions and obligations on market participants.
Algorithmic trading in the UK financial markets presents several potential risks. One critical risk is the rapid transmission of price movements, as algorithmic trading operates at high speeds, which can contribute to increased market volatility. The reliance on computer algorithms also poses the risk of technical glitches or erroneous trades that could have unintended consequences. Additionally, algorithmic trading can lead to the concentration of trading volume in certain assets or market segments, potentially impacting market fairness. Furthermore, there is a concern regarding the chance for market manipulation through algorithmic trading if adequate risk controls and surveillance measures still need to be implemented.
Algorithmic trading has a substantial impact on market efficiency in the UK. By automating trade execution and utilizing advanced algorithms, algorithmic trading strategies provide faster and more precise trade implementation, enhancing market efficiency. Automating trading processes reduces transaction costs, improves liquidity provision, and facilitates price discovery. Algorithmic trading systems enable institutional traders to access market data and execute trades in real-time, allowing for timely and informed decision-making. The increased adoption of algorithmic trading has contributed to the overall performance and competitiveness of the UK financial markets.
Specific regulations and guidelines are in place in the UK to prevent market manipulation through algorithmic trading. The Financial Conduct Authority (FCA) has implemented regulations that require market participants engaging in algorithmic trading to have appropriate risk controls and systems monitoring to detect and prevent potential market manipulation. The Market Abuse Regulation (MAR) imposes prohibitions and obligations on market participants, including those related to algorithmic trading, to ensure market integrity and prevent manipulation. These regulations aim to safeguard the fairness and transparency of the UK financial markets, promoting investor confidence and trust.
Algorithmic trading strategies can vary between asset classes in the UK financial markets. The characteristics of each asset class, such as trading volume, volatility, and liquidity, influence the design and implementation of algorithmic trading strategies. For example, algorithmic trading strategies often focus on capturing small price movements and executing large trades efficiently in the equity market. In the forex market, algorithms may consider factors such as interest rate differentials and macroeconomic indicators. Each asset class requires a tailored approach to algorithmic trading, considering the specific market dynamics and the desired trading objectives.
Machine learning and AI play a significant role in algorithmic trading in the UK. These technologies enable algorithmic traders to analyze vast amounts of data, identify patterns, and make data-driven trading decisions. Machine learning algorithms can improve over time based on historical data, allowing for the development of sophisticated trading strategies. AI-powered algorithms can process news feeds, social media sentiment, and other unstructured data to gain insights into market sentiment. By incorporating machine learning and AI techniques, algorithmic trading in the UK can enhance trading performance, risk management, and decision-making processes.
Market participants in the UK adapt to the increasing prevalence of algorithmic trading by embracing technological advancements and evolving their trading practices. Traditional human traders have integrated algorithmic trading systems into their strategies, leveraging the speed and efficiency of automated processes. They have developed a deeper understanding of algorithmic trading strategies and the use of trading algorithms to remain competitive. Moreover, market participants invest in technological infrastructure, market data feeds, and analytical tools to keep pace with the demands of algorithmic trading. Continuous learning, skill development, and utilizing advanced technologies are crucial to adapting to the UK's evolving landscape of algorithmic trading.
Algorithmic trading significantly impacts price discovery in the UK financial markets. By analyzing huge amounts of market data and executing trades at high speeds, algorithmic trading algorithms contribute to the efficiency and accuracy of price discovery. The increased trading volume generated by algorithmic trading enhances market liquidity and improves the depth of the order book, resulting in more accurate and reflective market prices. Moreover, algorithmic trading strategies often react quickly to new information and market conditions, leading to faster incorporation of relevant data into prices. It enhances the overall effectiveness of price discovery mechanisms in the UK financial markets.
Market makers and liquidity providers in the UK utilize algorithmic trading to enhance liquidity provision and optimize their trading activities. These participants employ algorithmic trading strategies to continuously monitor market conditions, identify trading opportunities, and provide competitive bid and ask prices. Market makers and liquidity providers can react swiftly to changing market dynamics and execute trades at high speeds using algorithmic trading algorithms. The algorithms employed by these participants often incorporate risk controls, such as volume-weighted average price (VWAP) execution, to manage the market impact. Algorithmic trading enables market makers and liquidity providers to improve efficiency and liquidity in the UK financial markets.
Yes, there are ethical concerns associated with algorithmic trading in the UK financial markets. One concern is the potential for market manipulation, as algorithms can be programmed to exploit market conditions or execute trades with minimal transparency. Additionally, algorithmic trading may exacerbate systemic risks and contribute to market volatility. There are also concerns regarding fairness and access to market data, as algorithmic traders with superior technology and resources may have an advantage over other market participants. Regulators and market participants aim to address these ethical concerns through robust regulations, transparency requirements, and ensuring equal market access for all participants.
Algorithmic trading can impact market volatility in the UK financial markets. The high-speed execution of algorithmic trades can amplify market volatility, as algorithms react swiftly to market conditions and close trades based on predefined parameters. This rapid transmission of trading activity can contribute to sudden price movements and increased market volatility. Moreover, the concentration of trading volume generated by algorithmic trading strategies in specific assets or market segments can further contribute to market volatility. While algorithmic trading algorithms aim to provide liquidity and efficiency, their activities can also introduce additional volatility into the UK financial markets.
Algorithmic trading has several implications for retail investors in the UK. On the positive side, algorithmic trading has increased market efficiency, tighter bid-ask spreads, and reduced transaction costs. Retail investors can benefit from improved liquidity and faster execution of trades facilitated by algorithmic trading. However, algorithmic trading also introduces new challenges for retail investors, such as competing with institutional investors and high-frequency traders with access to advanced technology and resources. Retail investors must be cautious and understand algorithmic trading and its implications to make informed investment decisions.
The growth of algorithmic trading has significantly impacted traditional trading roles in the UK financial markets. Traditional human traders have seen their roles evolve as algorithmic trading systems have become prevalent. The role of manual order execution and decision-making has diminished, as algorithmic trading algorithms can execute trades at high speeds and make data-driven decisions. However, traditional traders still play a crucial role in developing and fine-tuning algorithmic trading strategies, monitoring and managing risk controls, and ensuring compliance with regulations. The growth of algorithmic trading has prompted traditional traders to adapt their skill sets and embrace technology to remain relevant in the evolving landscape.
The future outlook for algorithmic trading in the UK financial markets is promising. Technological advancements, machine learning, and artificial intelligence will drive further innovation in algorithmic trading strategies. Market participants will continue to invest in infrastructure and analytical tools to capitalize on the benefits offered by algorithmic trading. However, regulatory scrutiny will likely increase to ensure market integrity and prevent potential risks associated with algorithmic trading. Moreover, the evolution of market structure, the emergence of new asset classes, and the integration of alternative trading systems will shape the future landscape of algorithmic trading in the UK financial markets.
Algorithmic trading significantly impacts trading volume and liquidity in the UK financial markets. Using automated trading algorithms allows for increased trading activity and a higher proportion of trades executed electronically. As algorithmic trading strategies can swiftly respond to market conditions and execute trades, they contribute to higher overall trading volumes. This increased trading volume enhances market liquidity by providing a more active marketplace with more buy and sell orders. Algorithmic trading systems also facilitate trading financial instruments across asset classes, including equities, currencies, and derivatives. By improving liquidity provision, algorithmic trading enhances market efficiency and depth in the UK financial markets.
High-frequency traders (HFTs) play an important role in algorithmic trading in the UK. These traders utilize advanced trading algorithms and ultra-fast technology to execute trades within fractions of a second. HFTs rely on sophisticated strategies that exploit small price movements and exploit short-term trading opportunities. Their high-speed trading activities contribute to the UK financial market's overall trading volume and liquidity. HFTs also contribute to market efficiency by narrowing bid-ask spreads and reducing price volatility. However, the presence of HFTs has raised concerns regarding market stability, fairness, and potential systemic risks. Regulators closely monitor high-frequency trading activities to ensure compliance with risk controls and safeguard market integrity.
Algorithmic trading systems in the UK utilize technical indicators and historical data to inform their trading decisions. Technical indicators, for example, moving averages, relative strength index (RSI), and Bollinger Bands, provide insights into market trends, momentum, and potential price reversals. By analyzing these indicators, algorithmic trading systems can identify opportunities and generate 'buy' or 'sell' signals. Moreover, historical data analysis allows algorithms to recognize patterns and correlations that can guide trading strategies. These algorithms learn from past market behaviour and adjust their parameters accordingly. By incorporating technical indicators and historical data, algorithmic trading systems aim to enhance trading performance, increase the accuracy of trade execution, and manage risk in the UK financial markets.
Algorithmic trading strategies are crucial in risk management in the UK financial markets. These strategies employ predefined and automated risk controls to manage and mitigate potential risks. For example, algorithms can incorporate stop-loss orders to limit losses and protect against adverse price movements. Risk controls can be set to adjust position sizes based on market volatility or account for liquidity conditions. Additionally, algorithmic trading strategies can monitor and react to real-time market data, ensuring that trades adhere to predefined risk parameters. By automating risk management processes, algorithmic trading minimizes the possibility of human error and ensures consistent adherence to risk management guidelines in the UK financial markets.
Algorithmic trading profoundly impacts market surveillance and regulatory oversight in the UK. Regulators closely monitor algorithmic trading activities to detect potential market manipulation, insider trading, or other fraudulent practices. Using algorithmic trading systems enables market surveillance tools to analyze large volumes of trading data, detect suspicious patterns, and ensure compliance with regulations. Regulators impose reporting requirements to enhance transparency and monitor trading activities effectively. Additionally, algorithmic trading has prompted regulatory frameworks to evolve, introducing specific guidelines and risk controls to address the unique characteristics of algorithmic trading. Regulatory oversight aims to promote fair and orderly markets, maintain investor confidence, and mitigate potential risks associated with algorithmic trading in the UK.
Algorithmic trading has significant implications for market microstructure in the UK financial markets. Market microstructure refers to the processes and mechanisms that determine how trades are executed, market prices are formed, and information is disseminated. The high-speed execution of algorithmic trades and the use of trading algorithms influence these dynamics. Algorithmic trading can increase liquidity fragmentation as trades are executed across multiple trading platforms and alternative trading systems. The concentration of trading volume generated by algorithmic trading strategies can impact price formation and the availability of liquidity in specific market segments. Moreover, the speed and efficiency of algorithmic trading can contribute to market dynamics, such as price cascades or flash crashes. As such, algorithmic trading requires ongoing analysis and adaptation of market microstructure mechanisms to ensure a well-functioning market in the UK.
Algorithmic trading has become an integral part of the UK financial markets, revolutionizing trading strategies, market liquidity, and the roles of market participants. The prevalence of algorithmic trading has brought both advantages and challenges. It has enhanced market efficiency, increased trading volumes, and improved risk management capabilities. However, algorithmic trading also requires careful regulatory oversight to ensure market integrity and prevent potential risks such as market manipulation. Market participants, including institutional investors and traders, must adapt and embrace technology to stay competitive in this evolving landscape. The future outlook for algorithmic trading in the UK financial markets remains promising, driven by technological advancements, regulatory developments, and the ever-changing needs of market participants.
We have conducted extensive research and analysis on over multiple data points on The Role of Algorithmic Trading in the UK Financial Markets to present you with a comprehensive guide that can help you find the most suitable The Role of Algorithmic Trading in the UK Financial Markets. Below we shortlist what we think are the best Algorithmic Trading Brokers after careful consideration and evaluation. We hope this list will assist you in making an informed decision when researching The Role of Algorithmic Trading in the UK Financial Markets.
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Selecting the right online Algorithmic Trading 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 Algorithmic Trading Brokers trading, it's essential to compare the different options available to you. Our Algorithmic Trading 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 Algorithmic Trading Brokers broker that best suits your needs and preferences for Algorithmic Trading Brokers. Our Algorithmic Trading Brokers broker comparison table simplifies the process, allowing you to make a more informed decision.
Here are the top Algorithmic Trading Brokers.
Compare Algorithmic Trading Brokers brokers for min deposits, funding, used by, benefits, account types, platforms, and support levels. When searching for a Algorithmic Trading Brokers broker, it's crucial to compare several factors to choose the right one for your Algorithmic Trading Brokers needs. Our comparison tool allows you to compare the essential features side by side.
All brokers below are Algorithmic Trading Brokers. Learn more about what they offer below.
You can scroll left and right on the comparison table below to see more Algorithmic Trading Brokers that accept Algorithmic Trading Brokers clients.
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IC Markets
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Roboforex
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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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FXPro
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Admiral
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ThinkMarkets
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Regulation | Seychelles Financial Services Authority (FSA) (SD018) | RoboForex Lid is regulated by Belize FSC, License No. 000138/7, reg. number 000001272. RoboForex Ltd, which is an (A category) member of The Financial Commission, also is a participant of its Compensation Fund | 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) (000261/27) 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) | 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 British Virgin Islands is regulated by FSC (License Number SIBA/L/20/1135), | 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) | Financial Conduct Authority (FCA) (595450), Cyprus Securities and Exchange Commission (CySEC)(310328), FSA (Financial Services Authority of Seychelles) (SD073) | Financial Conduct Authority (FCA), Financial Sector Conduct Authority (FSCA), TF Global Markets Int Limited (Seychelles) (8424818-1), TF Global Markets (UK) Limited is authorised and regulated by the Financial Conduct Authority FRN 629628, TFG (Payments) Limited (United Kingdom) (10537331), Think Capital Services UK Ltd (United Kingdom) (11054653), TF Global Markets (STL) Limited (Saint Lucia) (2023-00272), TF Global Markets (AUST) Limited is the holder of Australian Financial Services License number 424700, TF Global Markets (South Africa)(Pty) Ltd is an Authorised Financial Services Provider (FSP No 49835),TF Global Markets Int Limited Is authorised and regulated by the Financial Services Authority Seychelles Firm Reference Number SD060, The Cyprus Securities and Exchange Commission (CySec), TF Global Markets (STL) Limited (Saint Lucia) (2023-00272) |
Min Deposit | 200 | 10 | No minimum deposit | 5 | No minimum deposit | 100 | 100 | 25 | 100 | 1 | 50 |
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Used By | 200,000+ | 730,000+ | 1,000,000+ | 10,000,000+ | 400,000+ | 400,000+ | 200,000+ | 250,000+ | 7,800,000+ | 30,000+ | 450,000+ |
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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 | 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 | MT4, MT5, cTrader, FxPro WebTrader, FxPro Mobile Apps, iOS (App Store), Android (Google Play) | MT5, MT4, MetaTrader WebTrader, Admirals Mobile Apps, iOS (App Store), Android (Google Play), Admirals Platform, StereoTrader | ThinkTrader, WebTrader, TradingView, TradingView, Mobile Apps, iOS (App Store), Android (Google Play) |
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Learn More |
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Up with thinkmarkets |
Risk Warning | Losses can exceed deposits | Losses can exceed deposits | 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. | 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 | 75.78% of retail investor accounts lose money when trading CFDs and Spread Betting with this provider | Losses can exceed deposits | CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 71.89% 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 |
Demo |
IC Markets Demo |
Roboforex Demo |
XTB Demo |
XM Demo |
Pepperstone Demo |
AvaTrade Demo |
FP Markets Demo |
easyMarkets Demo |
FxPro Demo |
Admiral Markets Demo |
ThinkMarkets 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 | 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, CA, IR | US, CA, JP, SG, MY, JM, IR, TR | RU, AF, Yugoslavia, AO, GM, NG, AW, GH, KR, BY, GN, BO, GN, PK, BW, HT, PG, IR, PN Island, Burma MM, IQ, RW, KH, , SN, CF, JP, Sierra, Leone, TD, KG, SO, CI , LB, SZ, CU, LS, SY, of CG, LR, TJ, DJ, LY, Tanzania, EC, Laos, TG, ER, ML, TM, ET, MN, UG, Falkland Islands, NA, US of America, FJ, NI, YE, ZW |
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