We found 11 online brokers that are appropriate for Trading United Kingdom Algorithmic.
Algorithmic trading, often referred to as 'algo-trading', is revolutionizing the UK financial landscape. This cutting-edge technology simplifies trading by automating processes with advanced algorithms, offering UK traders exciting opportunities while also posing certain risks.
Algorithms operate based on predefined rules, ensuring trades are executed with consistency even in highly volatile markets. This reduces human error and maximizes trade efficiency. For instance, UK traders leveraging algorithms in the FTSE 100 index might aim to capitalize on intra-day fluctuations. Imagine a trader buying FTSE 100 ETF shares at GBP 50.20 and selling them minutes later at GBP 50.35 using an algorithm, netting a small but consistent profit of GBP 0.15 per share. However, if the market moves against the algorithm, they could incur a loss, such as selling at GBP 50.00, resulting in a GBP 0.20 loss per share.
In the fast-paced UK markets, speed is critical. Automated trading allows transactions to be executed in milliseconds, often at a lower cost compared to manual trading. For example, high-frequency trading (HFT) is prominent in the UK, enabling firms to trade thousands of stocks or ETFs per second. A UK-based HFT firm might capture a price discrepancy of just GBP 0.02 on 10,000 shares of a blue-chip stock, generating a profit of GBP 200. However, if a sudden market dip occurs, and those same shares fall by GBP 0.05 instead of rising, the firm could face a loss of GBP 500 on the same trade volume.
Algorithmic trading refers to the use of computer programs to automate trading based on pre-defined criteria. In this example, we consider the GBP/USD pair priced at 1.26168 USD, where a trader is placing a trade with $10,000.
Speed: Algorithms can execute trades within milliseconds, far faster than human traders. For example, an algorithm might purchase 10,000 GBP worth of Apple shares at 200 GBP per share in a fraction of a second. However, if the price suddenly drops to 190 GBP due to unexpected market conditions, the trader could incur a 500 GBP loss before adjustments are made.
Efficiency: By automating processes, algorithmic trading reduces the time spent analyzing market data manually. For instance, an algorithm could scan and act on FTSE 100 stock trends within seconds, potentially identifying profitable trades. However, a poorly optimized algorithm might misinterpret a temporary market dip, leading to a 1,000 GBP loss on a 20,000 GBP position.
Backtesting: Algorithms can be tested against historical data to ensure their effectiveness before deployment. For example, a trader might test an algorithm with five years of historical data to predict the performance of a 5,000 GBP investment in Vodafone shares. Without effective backtesting, the algorithm might fail in live trading, resulting in a significant loss.
Precision: Algorithms operate strictly based on the set rules, minimizing emotional decision-making. For example, an algorithm might be set to sell a position in Tesla shares if the price hits 300 GBP. However, strict adherence to rules could also cause missed opportunities or increased losses if the algorithm sells just before a price recovery.
Algorithmic trading tools are vital for UK traders looking to automate strategies, save time, and make the most of market opportunities. Below are some of the most popular tools, tailored for UK traders, and examples of how they can be used:
Aimed At: Beginner to advanced forex and CFD traders in the UK.
Uses: MT4 and MT5 are widely used by UK traders for building and deploying trading algorithms, called Expert Advisors (EAs). These platforms offer access to FCA-regulated brokers, real-time market data, and backtesting capabilities.
Example: A UK trader can use an MT5 EA to automate trades on GBP/EUR based on moving average crossovers, with a stop-loss of 50 pips and a take-profit of 100 pips.
Official Website: Visit MetaTrader's Website
Aimed At: UK traders of all experience levels who prefer cloud-based solutions.
Uses: TradingView allows traders to script strategies using Pine Script, access global markets, and collaborate with other traders. It is particularly popular for trading UK-listed stocks and forex pairs like GBP/USD.
Example: A UK trader could create a Pine Script algorithm to buy FTSE 100 stocks when the RSI falls below 30 and sell when it rises above 70.
Official Website: Visit TradingView's Website
Aimed At: Quantitative traders and developers in the UK.
Uses: QuantConnect allows UK traders to build complex algorithms using Python or C#. It integrates with brokers like Interactive Brokers, which serve UK clients, and offers historical data for backtesting.
Example: A UK quant trader could design a mean-reversion strategy to trade high-liquidity FTSE 350 stocks, executing trades automatically based on price deviations.
Official Website: Visit QuantConnect's Website
Aimed At: Futures and forex traders in the UK with intermediate to advanced skills.
Uses: NinjaTrader provides UK traders with advanced charting and backtesting tools. It’s particularly suited for futures and forex markets, allowing for efficient automation of strategies.
Example: A UK futures trader might use NinjaTrader to automate a breakout strategy for FTSE 100 index futures, entering trades during high volatility.
Official Website: Visit NinjaTrader's Website
Aimed At: Institutional investors and hedge funds based in the UK.
Uses: AlgoTrader offers institutional-grade solutions for algorithmic trading, supporting multi-asset and high-frequency trading strategies. It’s ideal for compliance with FCA regulations.
Example: A UK-based hedge fund could use AlgoTrader to execute arbitrage strategies across London-listed stocks and forex pairs like EUR/GBP.
Official Website: Visit AlgoTrader's Website
Aimed At: Independent UK traders and researchers with coding expertise.
Uses: Zorro Trader is lightweight and efficient, allowing UK traders to train and deploy machine learning models for automated trading strategies.
Example: A UK trader could use Zorro Trader to train an AI model that predicts GBP/USD price movements based on economic data like BoE interest rate announcements.
Official Website: Visit Zorro Trader's Website
Aimed At: Quantitative analysts and researchers in the UK.
Uses: MATLAB is widely used by UK traders and researchers for designing complex trading algorithms, particularly those involving mathematical modelling and simulations.
Example: A UK researcher could simulate a pairs trading strategy involving correlated FTSE 100 stocks like BP and Shell, optimizing for maximum returns.
Official Website: Visit MATLAB's Website
For UK traders, selecting the right tool depends on your trading goals, level of expertise, and the assets you want to trade. These tools provide the flexibility to trade UK-focused markets like FTSE indices, UK-listed equities, and forex pairs while adhering to FCA regulations.
If the GBP/USD price moves in your favor (for instance, rising from 1.26168 USD to 1.27168 USD), the algorithm will automatically close the trade at the target profit level. With a $10,000 position, a 0.0100 increase translates to a profit of $100.
If the trade moves against you (for example, falling to 1.25168 USD), the algorithm will trigger a stop-loss at the predefined level, limiting your loss. In this case, the 0.0100 decrease would result in a loss of $100.
Market Volatility: Sudden price changes can result in slippage, where trades are executed at less favorable prices than expected. For example, if the GBP/USD price suddenly drops from 1.26168 to 1.26050, an algorithm might execute a trade at the lower price, increasing potential losses.
Over-optimization: An algorithm tailored to historical data may perform poorly in live markets. For instance, an algorithm optimized for GBP/USD trading at 1.26168 might fail if the price deviates significantly due to unforeseen events.
Technical Failures: Network outages or software glitches can interrupt trading operations. For example, if a glitch prevents the algorithm from closing a trade when GBP/USD drops to 1.25500, the trader may incur unnecessary losses.
Leverage Risk: Using leverage magnifies both potential profits and losses. For instance, trading GBP/USD with 10:1 leverage and a position size of $10,000 means a 1% unfavorable price movement from 1.26168 to 1.24956 could result in a loss of the trader's entire margin.
Trend-Following Algorithms: These detect and follow price trends. For example, if GBP/USD shows an upward trend from 1.26168 to 1.27000, the algorithm might initiate a long position to capitalize on the increase.
Arbitrage Algorithms: These exploit price differences in different markets or platforms. For GBP/USD, an algorithm might identify a pricing disparity where one broker lists it at 1.26150 and another at 1.26170, executing trades to profit from the difference.
Market-Making Algorithms: These place simultaneous buy and sell orders to profit from the bid-ask spread. For instance, if the GBP/USD bid price is 1.26160 and the ask price is 1.26180, the algorithm could earn a small profit from the spread.
Statistical Arbitrage: These use mathematical models to identify mispriced trading opportunities. For instance, if GBP/USD’s historical average is 1.26200 but the current price is 1.26168, the algorithm might place a trade anticipating a return to the average.
Scalping Algorithms: These focus on small, frequent trades, aiming to capitalize on minor price movements. For example, scalping GBP/USD fluctuations between 1.26168 and 1.26178 within seconds or minutes.
Algorithmic trading isn't without its hurdles. Here are some of the main issues to keep in mind:
Smaller traders often struggle to match the technological advances that larger institutions have access to, making it tough to stay competitive. For example, big banks in the UK use proprietary trading systems powered by machine learning and artificial intelligence, which can be out of reach for individual or smaller retail traders.
In algo-trading, having real-time data is essential. Even slight delays can put traders at a disadvantage. For instance, foreign exchange (FX) traders in the UK often rely on data feeds from liquidity providers to make split-second decisions, where delays of milliseconds could lead to missed opportunities or even losses.
Software glitches or programming mistakes can lead to major losses. Past examples include the 2012 Facebook IPO and the 2011 Knight Capital incident. In the UK, algorithmic trading failures can also be seen in examples like the Flash Crash of 2010, where automated trading systems unintentionally caused extreme volatility in UK markets.
UK regulations on algorithmic trading are strict, and staying compliant is essential. Penalties for non-compliance can be severe. The FCA (Financial Conduct Authority) enforces rules to ensure that automated systems do not manipulate markets, such as by prohibiting spoofing (creating false orders) or layering (placing orders to deceive other traders).
Algorithms can be misused to influence markets, which attracts regulatory scrutiny and could result in fines. For example, spoofing and quote stuffing are practices where algorithms flood the market with orders to create a false sense of supply or demand, and these activities are illegal in the UK under FCA regulations.
Algorithmic trading systems are vulnerable to cyberattacks, which can cause data breaches, system disruptions, and financial losses. The 2017 cyber attack on UK financial institutions highlighted the vulnerability of trading platforms, with potential for disrupting automated trading operations and exposing sensitive trading data.
As AI, machine learning, and big data keep advancing, algorithmic trading will only grow. However, success requires a solid grasp of trading basics, risk management, and the regulatory landscape. The future of trading in the UK could involve more sophisticated quantitative trading strategies using deep learning models to predict market movements.
As algo-trading evolves, ethical concerns are coming to the forefront:
Algorithms can be used to distort markets, undermining fair trading. For instance, a trader could use a collaborative algorithm to manipulate prices in smaller, less liquid UK stocks to profit unfairly.
Advanced algorithms can create an uneven playing field, giving some traders an unfair advantage. This could be seen when large institutional traders use cutting-edge automated strategies that retail traders can't access, thus creating a barrier to entry in UK markets.
1. Pick a Reliable Broker: Choose an FCA-regulated broker with a robust platform. Popular UK options like IC Markets, RoboForex, offer access to automated trading tools. For example, IC Markets charges for frequent traders, makes it cost-effective for algorithmic trading.
2. Start Small: Begin with a modest investment to test strategies and build confidence. For instance, you can start with 500 GBP and gradually scale up. Many UK brokers provide demo accounts — IC Markets and RoboForex both offer free demos to practice algorithmic trading without risking real money.
3. Stay Informed: Keep up with market trends, regulatory updates, and tech developments. Events like BoE interest rate decisions can cause sharp moves in GBP/USD pairs. For instance, an unexpected rate hike could move the market by 100 pips, leading to gains or losses depending on your algorithm’s position.
4. Manage Risk Wisely: Develop and stick to sound risk management practices. Implementing tools like stop-loss orders can cap losses. For example, a 1,000 GBP trade with a stop-loss set at 2% would limit your maximum loss to 20. Diversifying your portfolio—investing in FTSE 100 equities, commodities like gold, and forex pairs like EUR/GBP—can further mitigate risk.
5. Diversify Investments: Spread investments across different assets to reduce risk. An automated system could allocate 40% to FTSE 100 equities, 30% to forex trading, 20% to bonds, and 10% to commodities. For example, an allocation of 5,000 GBP might include 2,000 GBP in equities, 1,500 GBP in forex, 1,000 GBP in bonds, and 500 GBP in gold.
6. Commit to Ethical Trading: Avoid practices that could harm the market. For instance, market manipulation through algorithms can lead to FCA penalties. Adhering to ethical guidelines not only ensures compliance but also fosters sustainable trading practices.
- If your algorithm misinterprets a BoE interest rate hike as bearish, it might short GBP/USD. A 50-pip gain in GBP/USD could result in a 500 GBP loss on a 10 GBP per-pip position.
- A poorly diversified portfolio could amplify risks. For example, investing 5,000 GBP entirely in tech stocks might result in a 1,500 GBP loss if the sector dips by 30% during a market correction.
- Failure to implement stop-loss orders could lead to significant losses. For instance, a 1,000 GBP trade in oil futures without a stop-loss might see a 10% adverse move, costing 100 GBP instantly.
Algorithmic trading brings big potential for UK traders. By understanding its benefits and challenges, staying up-to-date, and embracing ethical practices, traders can make the most of this technology on their path to financial success.
We have conducted extensive research and analysis on over multiple data points on Algorithmic Trading In The UK to present you with a comprehensive guide that can help you find the most suitable Algorithmic Trading In The UK. Below we shortlist what we think are the best United Kingdom Algorithmic Trading after careful consideration and evaluation. We hope this list will assist you in making an informed decision when researching Algorithmic Trading In The UK.
Selecting a reliable and reputable online United Kingdom Algorithmic Trading 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 United Kingdom Algorithmic Trading more confidently.
Selecting the right online United Kingdom Algorithmic Trading 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 United Kingdom Algorithmic Trading trading, it's essential to compare the different options available to you. Our United Kingdom Algorithmic Trading 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 United Kingdom Algorithmic Trading broker that best suits your needs and preferences for United Kingdom Algorithmic Trading. Our United Kingdom Algorithmic Trading broker comparison table simplifies the process, allowing you to make a more informed decision.
Here are the top United Kingdom Algorithmic Trading.
Compare United Kingdom Algorithmic Trading brokers for min deposits, funding, used by, benefits, account types, platforms, and support levels. When searching for a United Kingdom Algorithmic Trading broker, it's crucial to compare several factors to choose the right one for your United Kingdom Algorithmic Trading needs. Our comparison tool allows you to compare the essential features side by side.
All brokers below are United Kingdom Algorithmic Trading. Learn more about what they offer below.
You can scroll left and right on the comparison table below to see more United Kingdom Algorithmic Trading that accept United Kingdom Algorithmic Trading 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) (000261/4) 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) (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 admiralmarkets |
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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. 74.12% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. | 75-95 % of retail investor accounts lose money when trading CFDs | 71% of retail investor accounts lose money when trading CFDs with this provider | Losses can exceed deposits | Your capital is at risk | 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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