Plans: 1.5% daily for 30 business days; 1.8% daily for 25 business...
Min deposit: $50
Max deposit: $∞
Referral: 4 Levels: 7% - 2% - 1% -1%
Withdrawal: Manual
948 views [13 clicks]Reviews: 9100
Forum(s): TGPDTMCGRCITMIDMTMM4MMGPPF1OIPC
«Fxroboton» summary
This «RiskRank» metric is a general litmus test for the quality of the «Fxroboton» HYIP took in its entirety, defined by many specifications. Below is a detailed analysis and review of fxroboton.com and the results from 0 to 10 points.
fxroboton.com good quality signs:
The website uses DigiCert Inc EV SSL encryption with an enhanced protection level and has a green address bar;
High-quality hosting ensures constant access, reliability, performance and security;
The website content is unique;
IP address not used by other HYIPs;
Featured on a reputable HYIP monitoring platforms;
fxroboton.com red flags:
0.0
This project is a scam and stops paying on Nov 09, 2020.
Warning! The "fxroboton.com" project is marked as "Blacklist/SCAM" on the following URL(s):
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hyipclub. clubMonitor/Blog
2454 votes 4 years ago
Выплата Hyipclub.club 11.05.20 14:21 Account Receive +129.00 Received Payment 129.00 USD from account U24102279 to account U8239798. Batch: 345747428. Memo: FXROBOTON
Alextszp
498 votes 4 years ago
Profit Hunters
03:48 05.11.20 Receive 345624032. Received Payment 1.5 USD from account U24102279. Memo: FXROBOTON. Инвестирую с Profit-Hunters.
Ekaterina Rodina
11849 votes 4 years ago
Profit Hunters
The amount of 1.5 USD has been deposited to your account. Accounts: U24102279->U21613165. Memo: FXROBOTON . Date: 13:41 05.11.20. Batch: 345734642. Инвестирую с блогом Profit-Hunters.
FXroboton is a UK-registered company specializing in investments in
trading robots both in the cryptocurrency market and in the Forex
market, bringing the largest profit to our customers.
Artificial intelligence can be the most important means of developing
financial strategies that were previously considered difficult to
predict because traders are not able to compete with machines that can
process huge amounts of data and continuously improve forecasts.
On most exchanges, trading is carried out with the help of robots,
which, when trading, make decisions based on algorithms and adjust
strategies based on new data. Algorithmic trading has long become
popular, which led to the emergence of high-frequency trading. Also,
many hedge funds involve mathematicians who develop statistical models
and use past data to create trading algorithms.
But artificial neural networks have become an independent player in
the world of trading, showing better results than the original exchange
bots and algorithms, not to mention superiority over people.
Market professionals note that trading has become very complicated
and attribute this to the fact that the exchange robots familiar to them
simply analyze the entered data, and artificial intelligence, unlike
them, imitates the thinking of a financial analyst who collects and
processes data for the report.
Due to the growing impact of AI on modern trading, the spread of
machine learning and increased computing power, specialists are also
forced to observe a drop in profitability, and sometimes even
loss-making.
Compared with traditional trading technologies, artificial
intelligence does not just collect data from financial news, social
networks, stock indicators, but regularly carries out repeated testing.
In this way, he learns to understand global trends in the market and
improve predictions based on optimized knowledge. In addition, AI does
not show human emotions when trading, such as greed and fear, and does
not rely on irrational conjectures.
In recent years, the number of projects using AI in their work has
grown significantly. Here are some of the activities that artificial
intelligence performs for the benefit of trading companies and their
customers:
1. Construction of exchange algorithms based on technical analysis.
2. The search for new ways of processing large amounts of data for use in traditional analysis.
3. Combining machine learning with financial expertise to create robotic advisers who advise on making investment decisions.
4. Development of investment strategies for hedge funds.
5. Full management of investment funds and trade without human intervention.
6. Analysis of big data from social networks and thematic sites, including user ratings and moods, for further forecasting.
7. Compiling a rating of analysts and processing their forecasts to select the best trading strategies.
8. Development of economic models during periods of high volatility and during market shocks.
9. Identification of cases of collusion and market manipulation.
Profitability in the implementation of artificial intelligence
significantly exceeds the average level of profitability of the market.
AI algorithms are also more effective than a passive buy-and-hold
strategy.
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