Download High Low Indicator Rar !!BETTER!!
Free download Indicators High Low (HL) for Metatrader 4. . All Indicators on Forex Strategies Resources are free. Here there is a list of download The High Low (HL) indicators for Metatrader 4 . It easy by attach to the chart for all Metatrader users..
Download High Low Indicator rar
The MTF High Low Indicator is responsible for drawing high and low levels of previous and current daily, weekly, and monthly periods. These levels are often respected as market turning points, thus traders can take advantage of trading at them.The MTF High Low Indicator fits all kinds of timeframes and currency pairs. It is displayed directly on the main trading chart. The default settings can be modified directly from the input tab. Feel free to experiment with the settings and parameters to fit your personal preferences.Closer look on the MTF High Low IndicatorWhen you load up the indicator in your MT4 platform, you will see a couple of horizontal lines that reflect important market levels including monthly hig and low, weekly high and low, previous monthly high and low, previous weekly high and low, previous daily high and low. Each level has its own label, so one quickly can recognize it. Take a look at example chart:if(typeof ez_ad_units!='undefined')ez_ad_units.push([[336,280],'forexracer_com-box-4','ezslot_14',138,'0','0']);__ez_fad_position('div-gpt-ad-forexracer_com-box-4-0');Buy Trade ExampleIn the example below, one can see how the price reacts to the previous monthly high level. There is a Doji candle that touched the level only once and then upward impuls occurred. In that case, the resistance level became the support level.Sell Trade ExampleIn the example below, one can see how the price reacts to the previous weekly high level. That level acts as the resistance level and the price rejected it forming three soldiers bearish pattern.How to set up the MTF High Low indicator in MetaTrader (MT4)?Installation GuideDownload the MTF High Low.rar archive at the bottom of this post, unpack it, then copy and paste the MTF High Low.ex4 or MTF High Low.mq4 indicator files into the MQL4 folder of the Metatrader 4 trading platform.You can gain access to this folder by clicking the top menu options, which goes as follows:File > Open Data Folder > MQL4 > Indicators (paste here).Now go to the left side of your MT4 terminal. In the Navigator find the gauge name, right-click it and select Attach to the chart.
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(a) Direction - If it goes my way I am happy. Which indicator will help me decide on picking the right direction? There are lots but you can recommend me just one only - like drawing arrow on the existing
(b) Recovery time: If it goes in the opposite direction I want to select a time period where the possibility of prices coming back to that position are bright. Can you suggest any indicator which can help me estimate the time of recovery. Probably 3 months look back period or 4 months>
In order to plot the strategy on MT4 before executing any option order can I get any indicator which draws backwards and forward up and down price channel (from the present spot price) from the inputs supplied.
Input switch could be: (a) Start date (b) Close date (c) lookback or lookforward true/false (d) profit change (e) premium loss per day (calculated manually and input in the switch). The indicator should print two lines - one based on price change - second showing premium loss or gain. It can print text on any corner showing price gain/loss and premium gain/loss.
This detection identifies two user activities (in a single or multiple sessions) originating from geographically distant locations within a time period shorter than the time it would have taken the user to travel from the first location to the second, indicating that a different user is using the same credentials. This detection uses a machine-learning algorithm that ignores obvious "false positives" contributing to the impossible travel condition, such as VPNs and locations regularly used by other users in the organization. The detection has an initial learning period of seven days during which it learns a new user's activity pattern. The impossible travel detection identifies unusual and impossible user activity between two locations. The activity should be unusual enough to be considered an indicator of compromise and worthy of an alert. To make this work, the detection logic includes different levels of suppression to address scenarios that can trigger false positive, such as VPN activities, or activity from cloud providers that don't indicate a physical location. The sensitivity slider allows you to affect the algorithm and define how strict the detection logic is. The higher the sensitivity level, fewer activities will be suppressed as part of the detection logic. In this way, you can adapt the detection according to your coverage needs and your SNR targets.
In the Impossible Travel policy, you can set the sensitivity slider to determine the level of anomalous behavior needed before an alert is triggered. For example, if you set it to low or medium, it will suppress Impossible Travel alerts from a user's common locations, and if you set it to high, it will surface such alerts. You can choose from the following sensitivity levels:
This enables you to understand what the suspicious activities are that the user performed and gain deeper confidence as to whether the account was compromised. For example, an alert on multiple failed logins may indeed be suspicious and can indicate potential brute force attack, but it can also be an application misconfiguration, causing the alert to be a benign true positive. However, if you see a multiple failed logins alert with additional suspicious activities, then there's a higher probability that the account is compromised. In the example below, you can see that the Multiple failed login attempts alert was followed by Activity from a TOR IP address and Impossible travel activity, both strong indicators of compromise (IOCs) by themselves. If this wasn't suspicious enough, then you can see that the same user performed a Mass download activity, which is often an indicator of the attacker performing exfiltration of data.
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Within a ten year period South Africa has developed a substantial illicit drug market. Data on HIV risk among drug using populations clearly indicate high levels of HIV risk behaviour due to the sharing of injecting equipment and/or drug-related unprotected sex. While there is international evidence on and experience with adequate responses, limited responses addressing drug use and drug-use-related HIV and other health risks are witnessed in South Africa. This study aimed to explore the emerging problem of drug-related HIV transmission and to stimulate the development of adequate health services for the drug users, by linking international expertise and local research.
Injecting drug use is an increasing cause of HIV transmission, the number of countries in which injection of drugs has been reported has increased over the last decade. The high prevalence of HIV among many populations of injecting drug users represents a substantial global health challenge. Extrapolated estimates suggest that 15.9 million people might inject drugs worldwide. However, existing data are far from adequate, in both quality and quantity, particularity in view of the increasing importance of injecting drug use as a mode of HIV transmission in many regions such as South Africa . Although injection drug use is low in South Africa in comparison with many other countries, with the increase over time in the use of substances such as heroin, the potential exists for this to change rapidly . The rapid assessment undertaken with drug using commercial sex workers in Cape Town, Durban and Pretoria by Parry et al. in 2009 recognises the need for prioritising interventions recognising the role of drug abuse in HIV transmission, the issues of access to services, stigma and power relations . Furthermore, a study by Dos Santos, Rataemane, Fourie and Trathen (2010) notes that limited strategic public health care policies that address substance use disorder syndromes complexities have been implemented within the South African context . The study further emphasises the need for pragmatic and evidence-based public health care policies that are designed to reduce the harmful consequences associated with heroin use in particular, still needs to be implemented. According to Weich, Perkel, Van Zyl, Rataemane, and Naidoo (2008), medical practitioners in South Africa are increasingly confronted with requests to treat patients with heroin use disorders for example, but many do not posses the required skills to deal with these patients effectively . The study by Dos Santos et al (2010) further discerns the need be make HIV testing and treatment services available in places accessed by vulnerable people as fear of stigma and discrimination often keep injecting users away from public health facilities . According to Parry et al (2008) there is also a widespread lack of awareness about where to access HIV treatment and preventative services, and numerous barriers to accessing appropriate HIV and drug-intervention services such as long waits and appointments being cancelled without notice . These authors further reiterate that multiple risk behaviours of vulnerable populations and lack of access to HIV prevention services could accelerate the diffusion of HIV. 041b061a72