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Robot Maker AI in Sydney, Australia | Software company



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Robot Maker AI

Locality: Sydney, Australia



Address: 11 York Street 2000 Sydney, NSW, Australia

Website: https://robotmaker.ai

Likes: 74

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24.01.2022 What a trader should know if he wants to use trading robots There are 3 key categories of trading robots: Multicurrency robots that do not use indicators. This tool allows automated trading using any currency pair. The multicurrency robot algorithms are based on the Martingale method, the order grid. The risk level is the highest here, but if luck is on your side, these robots can earn you huge profit%.... Indicator robots. This type of Expert Advisors automatically finds overbought and oversold levels/trends/reversal areas and informs the trader, who, based on this knowledge, makes a trading decision. Scalpers. Automatic robots that trade with the minimum trade expiration time. Such robots are the best suited for scalping, where every second counts. If you need to quickly open or exit a trade, this robot will be your ideal assistant. To choose the right expert advisor, it is important to consider your individual preferences. First of all, think, which trading style suits you best. By understanding the algorithm and what the EA is doing, how it’s trading, it will be easy for you to intervene if you notice that trading has gone in the wrong direction and became unfavorable



21.01.2022 MANAGING TRADING POSITIONS With Semi-Automation Move Stop to Breakeven (Entry Point) Automatically... Scale out automatically (Take some of the profit) Scale in automatically (Develop the trade) Add a hedging position automatically and remove it if not required Alert you by Email/Text Message if certain situations occur Open a hedging position in a different market and alert you once this has been done

05.01.2022 Advantages of Automated Trading Solutions 1. Eliminating Emotions Automated trading software completely eliminates emotions from your trading. As well, automation ensures that a strategy is applied in its most objective manner, devoid of any subjectivity that may arise when trading manually. Emotions are a major hindrance to successful trading among many traders. When using automated trading software, you do not have to worry about fear, greed or overconfidence creeping up to... derail an otherwise working strategy. 2. Preserving Discipline Successful traders plan their trades, and trade their plan, religiously. It is difficult to maintain disciplined in a fast-moving market where real money is on the line. Automated software solutions ensure that this is possible by making objective and repeated trading decisions at all times, regardless of the market conditions. 3. Speed and Accuracy Automated trading solutions monitor the markets faster and more accurately than any human mind can manage. They are able to track trading opportunities across multiple assets and make accurate trading decisions in real-time. Trade orders will be executed as soon as set conditions are met, with no human errors involved. 4. Trade Sophisticated Strategies Using automated trading solutions can help traders apply complex trading strategies in the market, which would ordinarily be difficult to do with the human mind. Whether it is applying complicated exit and entry conditions, or intricate trade management using trailing stops and time-sensitive alerts, you can achieve precision and complete objectivity using automated trading solutions. 5. Backtesting Automated trading solutions allow for easy backtesting on actual quantifiable data to determine their effectiveness, or lack thereof. Backtesting is a time-consuming activity, but with a trading robot doing the activity, results can be seen quickly, and appropriate tweaking or optimization can then be done, if necessary.

01.01.2022 Potentials of High-Frequency and Algorithmic Trading To be able to transact assets with the time of possession narrowed to one microsecond is a great task for a human, even via the command of a button. The human neurons are not designed to navigate signals at such speed and yet process the information, decide, and act. The need for such a speedy process of a transaction is the hand in glove relationship between high-frequency and algorithmic trading. The projection of algorit...hmic trading was by sequential processing, but the application of parallel computing and neural networking is a promising step. Processing via several nodes, as it is in machine learning, with several inputs and outputs perfectly aligns with parallel computing. Thus, algorithmic trading is more likely to be parallel instead of sequential. Another factor of importance is using Big Data. With the volume of transactions there are tons of information for analysis to decide a good or bad deal. The efficiency of the trading solutions will naturally increase with more data and, as a result, create a more efficient market. The data harvested will also be an advantage for machine learning. Both high-frequency and algorithmic trading are fit for automation by AI. Most trading platforms are autonomous already, but there is always room for improvement. For instance, systems that analyze business information in the form of news will be a great trading tool. AI will consolidate trading by harnessing and analyzing market patterns and behavior from the past. It will also be able to learn and adapt itself as the market conditions change, thereby creating a perfect tool for trading.



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