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Fundamental analysis of cryptocurrencies.  Development of indicators based on metrics

Fundamental analysis of cryptocurrencies. Development of indicators based on metrics

December 5, 2022

In previous reviews, the qualitative and quantitative indicators of fundamental cryptocurrency a

The Truly News indicator is a news tool

The Truly News indicator is a news tool

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Control over the news is fundamentally important, first of all, for scalpers and fundamental tra

Price Action Pattern Dashboard - Pattern Trading Automation

Price Action Pattern Dashboard - Pattern Trading Automation

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Trading automation is both good and bad at the same time. The use of automatic algorithms saves

The Honest Predictor (iHP) indicator predicts the direction of the trend until a certain expiration time (‚Äúexpiration time‚ÄĚ). It is well suited for working with binary options. Main features:

  • ‚ÄúHonest‚ÄĚ statistics on the level of reliability of forecasts.
  • Not redrawn, not recalculated. The indicator is stable and is calculated only on closed bars (not on ticks).
  • The results of the positions are measured at the actual closing prices.
  • The product is based on the technical indicator RSI within the multi-timeframe confirmation strategy.

The indicator is optimized to work on H1. The best results were achieved with an expiration time of 1 to 3 bars (i.e. 1 to 3 hours).

Basic parameters

  • Duration of backtesting in days: the length of the history (in days) on the chart to assess the accuracy of the indicator (=percentage of profitable positions), the statistical level of reliability and visual analysis.
  • Indicator threshold: the minimum threshold value for generating an alert.
  • Expiration Time in bars: The estimated expiration time for binary options offered by the indicator.

The default value for the duration of testing on the history is 30 days, so that the positions are sufficient for a statistically adequate assessment of accuracy. However, the user should try to reduce it to get the most relevant statistical values, and at the same time not to bring the number of positions to too low a value, at which the forecasts become too unreliable (poorly reliable or unreliable, see below). In the latter case, no alerts are generated. Such conditions can also occur when the accuracy approaches a‚ÄĚ random ‚ÄĚ value of 50%.

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To improve accuracy, adjust the Indicator Threshold (0-10) and Expiration Time parameters in bars (usually 1-4).

Do not forget that often the accuracy when working with binary options must exceed 65% to get a long-term profit.

Try out the demo version before you buy! Test it on the instruments and with the parameters specified in the table below (timeframe: H1, 30 days of testing on the history).

Working with a schedule

On the chart (see screenshots) and during the testing period on the history (delimited by two vertical lines), the down (red) and up (green) arrows indicate the predicted PUT or CALL positions, respectively, that were successfully executed during the expiration period (profitable options, in-the-money positions). Yellow arrows indicate unfulfilled forecasts (unprofitable options, out-of-the-money). Of course, positions opened very recently cannot be checked until they have entered the period of testing on the history after the expiration date.

The calculated accuracy value and the p value are displayed in the upper-left corner . Both values are constantly updated.

ATTENTION: since the strategy is multi-timeframe, alerts are displayed with a certain delay after the closing time of the last formed bar.

Always pay attention to both the issue time and the expiration time of the position indicated in the alert!

ATTENTION: since the strategy is multi-timeframe, alerts are displayed with a certain delay after the closing time of the last formed bar.

Always pay attention to both the issue time and the expiration time of the position indicated in the alert!

A binary option can be either successful or not. From a statistical point of view, it can be considered as a binomial random variable. This allows you to determine the statistical level of reliability of the indicator in predicting changes in the price of the instrument at the current expiration period. The level of reliability can be quantified using the so-called p value. p shows the probability that the same value can be reached by chance. That is, the lower it is, the more reliable the indicator forecasts are.

Usually, at p>0.1, the indicator forecasts should be ignored (fully unreliable); at 0.05 p 0.1 they are considered not very reliable (poorly reliable, high risk), at p are moderately reliable and at p reliable (reliable).

In addition to the accuracy calculated on a user-defined historical period, iHP also defines the p value as an indicator of the reliability of the calculated accuracy value.

Thus, the user gets a clear idea of the ‚Äúrisk level‚ÄĚ and can assess the reliability of the indicator‚Äôs forecasts.

Key Features of Algorithmic Trading Software

15 April 2015

20 August 2015

2.6

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217819606 February 11, 2021 2:51 am
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junk uter trash many many fales signals tend not to purchase<span id=\

Joachim Reichelmann February 11, 2021 2:51 am
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we managed a deep analysis with HPI..\n\n measuring 28 Pairs with TF 5,15,30 and different configurations for HPI… Now almost 3 month and 24\/5\n\n my assessment is certainly a good one… HPI offer you very good indicators… you only need to know which is best setting and timeframe time.\n\n Trader4charity.com carries a individual realtime analyse program, which songs each forex trading indicate and computes each second if it is a acquire or loose for Binary alternatives.\n\n Make sure you read through at responses, how you can get the best settings.\n\n Happy trading\n\n Jo<span id=\

Tim February 11, 2021 2:51 am
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The user failed to leave a reply to the ranking<span id=\

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