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Ann bb Trend Chinese

Free use for 3 months without any restrictions

July 7, 2021 will be restore the original price of 199$


This is a fully automatic Quantitative Trading Advisor (QTA )


What you need to do is to optimize the parameters, then select the appropriate parameters and let it run.

No one strategy is a one-size-fits-all solution. Now we have given you the best and most advanced tools, but you need to learn how to use them.

This QTA can help you find out the characteristics of the parameters that get several times or dozens of times of income within a year for you to choose.

how many possibilities are used to find these results? The answer is more than one trillion, which is bigger than 1.0e+14.

Regarding the operating instructions of the parameters, we will issue a separate document, or you can send an e-mail consultation.

Even if you don't understand Chinese or how to use the parameters, we still give you the optional range for you to optimize the parameters, which is very friendly. 


Important advice:


We suggest that you are prepared to run this QTA for at least one year.

For example, select 5 market quotations to test separately according to the daily chart (D1), and obtain the parameters from these five situations for use.

The 5 situations are:

1. Slowly falling market, daily candlestick chart , for example: 2018.10 ~ 2019.10

2. Slowly rising market, daily candlestick chart, for example: 2013.03 ~ 2014.03

3. Rapid decline market, daily candlestick chart, for example: 2014.04 ~ 2015.04

4. Rapidly rising market, daily candlestick chart, for example: 2017.02 ~ 2018.02

5. Horizontal fluctuation market, daily candlestick chart (D1), for example: 2015.07 ~ 2016.07

After obtaining the parameters, we decide which set of parameters to adopt after judging the general trend from the weekly candlestick chart (W1).

If do you think that the market trend will slowly rise in the next six months.

Then you use the parameters measured in the second case above.


The risks you face when using this QTA:


We write programs very carefully, and the programs have undergone a lot of data testing.

When feeding a large amount of data to the program in batches, the program tells us that there is no general rule.

If it is unlucky, the maximum loss will not exceed your setting, the default is 30% of the account funds.

We do not promise that you will be win, but our expected profit is still considerable. 


    Precautions for quantitative trading:

    The time when EA enters the market may be random, but there may be two situations of profit and loss after entering the market, so some manual intervention is appropriate.

    Investors have different risk tolerance, so we often see securities companies do risk tolerance tests on their investors.

    Investors have different habits. The emergence of an EA, whether EA is suitable for you, and whether you are suitable for EA is a question.

    Excessive expected returns will cause quantitative trading advisors to exit prematurely.

    QTA do not hinder manual trading.

    In order to protect the safety of the account funds:

    • The trading volume of QTA will be reduced, if you place an order manually.
    • It will cause QTA to exit, if your manual order has a large loss.


    The following are the principles that our program development follows for your reference:


    The purpose of quantitative trading:

    Using computer technology to formulate strategies from huge historical data that can bring high probability events that can bring good returns.

    Reduce the impact of investor sentiment fluctuations.

    Avoid making irrational investment decisions when the market is extremely enthusiastic or pessimistic.


    Basic principles of quantitative trading:

    Risk control

    You must use a demo account to pass the test.

    The amount of margin that can be operated for quantitative trading must be clear.

    Exit conditions must be clear.

    Feasibility Control

    The expected benefits must be clear.

    Prevent abuse

    Over-trading must be prevented.

    The scope of application of quantitative trading must be clear.

    The contract object to be adapted must be clear.

    Prevent over-dependence

    The EA program is not a once-and-for-all project.

    Take appropriate risks and continuously optimize the parameters.

    Good luck!


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    Xiaoming 2021.04.28 13:45 
     

    L'utente non ha lasciato alcun commento sulla valutazione.

    Pingtao Wang
    399
    Risposta dello sviluppatore Pingtao Wang 2021.05.21 08:09
    Thank you for your evaluation, we will work harder！
    Rispondi alla recensione
    Versione 4.3 2022.02.22
    Performance optimization to reduce CPU usage.
    Versione 4.2 2021.05.24
    删除对图表的操作。
    Versione 4.1 2021.04.18
    Correction expected return statistical functions.
    Format the code.
    Delete the functions of take profit and stop loss, and use direct call instead.
    Translate some content.
    Versione 4.0 2021.04.15
    Full support for English.
    Support expected return parameters.
    Fix stack overflow when testing all ticks.
    Adjust the frequency of sending warning emails.

    Parameter Description:
    The following values ​​of these parameters will be used as a data reference for opening a position, using artificial neural network decision-making methods (ANN)
    But the final value is determined by you, and the EA will tell you which parameters are most suitable in this situation
    In this way, you may feel that this matter is a useless EA, this is the biggest use of this EA, this is the "Tao" , 道（Dao）

    You can take default values for the parameters you don’t want to optimize

    00. Percentage of authorized maximum loss [20 - 40]
    Default value is 30, which is 30%
    Allow EA to operate funds, that is, the maximum loss that may occur in the most unfavorable situation as a percentage of account funds
    01. Expected period [1 - 12]
    Default value is 4 months
    02. Expected return during the expected period [-37 - +222]
    Default value is -5
    03. Fluctuation check ratio [38 - 62]
    Default value is 47
    This is a comprehensive decision parameter
    In general, it is used to compare the correlation between prices in a recent period and a longer period of time
    04. Time span to observe historical data fluctuation range [8 - 46]
    Default value is 24 candlesticks
    Used to observe the price fluctuation range of the candlestick chart within a specified period of time
    For example, when the value is 24, the daily candlestick chart indicates the average price fluctuation range within 24 days
    05. Time span of longer-term observation of the data [4 - 8]
    Default value 6 candlesticks
    Used to calculate the curvature of the average price during the observation period
    06. Time span of shorter-term observation of the data [3 - 5]
    Default value 4 candlesticks
    It is used to calculate the direction and stability of the price during the observation period, and an important indicator to determine the trend
    07. Stop loss: 1 point = 0.00001 [50 - 2750]
    Stop loss and close the position
    08. Take Profit: 1 point = 0.00001 [50 - 2750]
    Take profit and close the position
    09. Maximum total holding order [3 - 5]
    Default value is 3
    The total number of buy orders and sell orders
    10. Maximum absolute value of buys minus sells [1 - 3]
    Default value is 1
    The maximum absolute value of buy orders minus sell orders
    11. RSI indicator observation period [13-34]
    Default value is 18 candlesticks
    Observe the time span of the RSI indicator
    12. RSI high value [62-81]
    Default value is 70.0
    RSI high-level decision-making reference, closely related to the RSI indicator observation period
    13. RSI low value [19-38]
    Default value is 30.0
    RSI low decision-making reference, closely related to the RSI indicator observation period
    Versione 3.5 2021.04.11
    优化程序架构；
    减少对系统资源的消耗。
    Versione 3.4 2021.04.07
    新增 RSI 指数优化筛选。
    Versione 3.3 2021.04.04
    English is supported now for some information.