Chartink open low same

This post was written by me in and I have added a few extra points in it and thought to republish it for my readers. The open high low same strategy is quite popular among Indian stock traders. In fact, I am watching this strategy for years now and this is really easy to follow strategy for even novice traders.

This strategy works well in all liquid scrips but I suggest you follow only Nifty 50 stocks with this strategy.

OPEN LOW SAME

You can also create a simple excel file to capture live data from your trading terminal. Once you can import the data you can write some simple formulas to create a simple open high low same a trading system.

You can also write a simple scanner on the Zerodha Pi platform. Just create a scanner with the following code for open low same BUY code:. Now, you can create a list of symbols and scan on an hourly candle after minutes of market opening.

This strategy can also be used for automated trading in the NSE market. Traders can use Zerodha Pi bridge or AmiBroker software in automating their trades. As we have written that we can create an excel file and trade the OHL same scrips easily. We can add some target and stop loss to the system. In case of price breaks the opening high or opening low, that ends the trade and the setup becomes null and void. In our website, we have created a page dedicated to the OHL same trading strategy.

The page is complete with targets and a stop loss. The page will also automatically post a stop loss and 3 targets.

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We checked that these targets get achieved with high accuracy. We suggest you check this page after at least 10 to 15 minutes of the market opens.

So this open high low same is a super simple strategy and even novice traders can use this strategy with ease. But while going live with this strategy one needs to remember, that no strategy can be a holy grail and traders must use proper money management rules while taking the trades. This strategy is historically proved to be quiet accurate and money-making.

Hence, sticking to the strategy even if few trades produce loss is a must. This is ready to use strategy whether you use a Pi scanner or you use our OHL scanner page. Your comments in this regard can take this discussion forward. Check the results within first 5 minutes of market open. Then you can play the first 5 or 15 minutes range break. Sir, I have noticed that for different brokers, charts are different for example Sharekhan and Zerodha. Which feed is more accurate? But best if you have access to two brokers, take only the common stocks that are coming in results of both the brokers.

Tomas definitely you can give it a try and post the result here.GAIN Rs. Designed especially for traders looking to tap the profit opportunities of volatile markets. Reproduction of news articles, photos, videos or any other content in whole or in part in any form or medium without express writtern permission of moneycontrol.

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chartink open low same

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Hindalco Add to Watchlist Add to Portfolio.Fundamental and Technical Analysis Scanner or Screener are widely used tools by stock market experts. Stock Scanner tool helps investor and trader in doing a fundamental and technical analysis. On scanner tool, you can filter stocks based on various parameters such as stock price, daily moving average, market cap, dividend yield and many more.

In this post, I will share information about Chartink Screener. Chartink is most popular stock screener website that provide both fundamental and technical screener tool. It also provides a facility to generate SMS and E-mail alert. Chartink Provides multiple readymade fundamental analysis filters.

You will be able to see readymade category wise scanner. In order to find specific scanner enter your query in the search tab and press Search scans. It will show relevant scanner associated with your search query. For more information refer to the following screenshot. It is easy to create your own customize filter using Chartlink website. Technical Analysis filters help you to do technical analysis.

However, it is premium facility and you need to pay money for the same. Monthly cost for this facility is Rs. Raviraj is the man behind moneyexcel. He is not affiliated with any financial product, service provider, agent or broker.

The purpose of this blog is to spread financial awareness and help people in achieving excellence for money. These should not be construed as investment advice or legal opinion. Save my name, email, and website in this browser for the next time I comment. Notify me of follow-up comments by email. Notify me of new posts by email. Stock Market. Chartink Screener — Fundamental and Technical Scanner. The first step is going to Screener tool. Click on green color funnel — Filter icon.

Next is press Run Scan button. It will display all stocks with EPS greater than a value specified by you. Visit Chartink screener tool.

Press Run Scan button and you will be able to see debt-free companies on the screen. Press Run Scan button and you will be able to see all high volume stocks on your screen. Prev Article. Next Article. Leave a Reply Cancel reply Save my name, email, and website in this browser for the next time I comment.Is chartink.

Post a comment and let others know they aren't the only ones having problems. Post Comment. Not Opening. Chartink Website Url chartink. Checking chartink. Please wait. If you're not able to reach it, it might just be your connection. It's not just you. The website is not responding to anyone. Please try again later. Past Response Times.

The above graph reflects the response times collected for chartink. The lower the response time, the better. Troubleshooting If chartink. This should work on Internet Explorer, Firefox and Chrome. Clear your browser temporary cache and cookie to make sure you have the recent version of chartink.

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Privacy Policy.Is chartink. Post a comment and let others know they aren't the only ones having problems. Post Comment.

Not Opening. Chartink Website Url chartink. Checking chartink. Please wait. If you're not able to reach it, it might just be your connection. It's not just you. The website is not responding to anyone. Please try again later. Past Response Times. The above graph reflects the response times collected for chartink. The lower the response time, the better.

Troubleshooting If chartink. This should work on Internet Explorer, Firefox and Chrome. Clear your browser temporary cache and cookie to make sure you have the recent version of chartink.

Chartink Screener – Fundamental and Technical Scanner

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Privacy Policy.An open-high-low-close chart also OHLC is a type of chart typically used to illustrate movements in the price of a financial instrument over time. Each vertical line on the chart shows the price range the highest and lowest prices over one unit of time, e. Tick marks project from each side of the line indicating the opening price e. The bars may be shown in different hues depending on whether prices rose or fell in that period.

A simple variant on the OHLC chart is the HLC high-low-close chart that identifies the range of the time unit's price action high - low and the end result of the time unit's price action the close. In technical analysis OHLC charts are often combined with charts of other types such as line charts showing moving averagecolumn charts trading volumeand range areas Bollinger Bands. Visit the main overall explanation for Technical analysis that is translated into many languages.

chartink open low same

From Wikipedia, the free encyclopedia. This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Technical Analysis for Dummies3rd Edition. Wiley Publishing, Inc. Technical analysis. Breakout Dead cat bounce Dow theory Elliott wave principle Market trend.

Hikkake pattern Morning star Three black crows Three white soldiers.

chartink open low same

Average directional index A. Coppock curve Ulcer index. Categories : Financial charts Economics and finance stubs. Hidden categories: Articles needing additional references from January All articles needing additional references All accuracy disputes Articles with disputed statements from August All stub articles.

Namespaces Article Talk. Views Read Edit View history. Help Learn to edit Community portal Recent changes Upload file. Download as PDF Printable version. This economics -related article is a stub. You can help Wikipedia by expanding it.You can merge multi-datasets too so basically you can grow a dataset as much as you want.

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The example below will construct a new dataset that is the concatenation of three other datasets. However, there can be cases where each dataset might come from a different source and therefore have different field ids. The first one would define the final dataset fields.

chartink open low same

Those will be the default resulting fields, together with their datatypes and so on. Then we need to specify, for each of the remaining datasets in the list, a mapping from the "standard" fields to those in the corresponding dataset. In our example, we're saying that the fields of the second dataset to be used during the concatenation are "000023", "000024" and "00003a", which correspond to the final fields having them as keys.

In the case of the third dataset, the fields used will be "000023", "000004" and "00000f". The optypes of the paired fields should match, and for the case of categorical fields, be a proper subset. If a final field has optype text, however, all values are converted to strings. The next request will create a multi-dataset sampling the two input datasets differently. Each entry maps fields in the first dataset to fieds in the dataset referenced by the key.

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Setting this parameter to true for a dataset will return a dataset containing sequence of the out-of-bag instances instead of the sampled instances. See the Section on Sampling for more details. Each value is a number between 0 and 1 specifying the sample rate for the dataset.

Basically in those cases the flow that BigML. See examples below to create a multi-dataset model, a multi-dataset ensemble, and a multi-dataset evaluation. We apply the term dataset transformations to the set of operations to create new modified versions of your original dataset or just transformations to abbreviate. Keep in mind that you can sample, filter and extend a dataset all at once in only one API request. Also when cloning a dataset, you can modify the names, labels, descriptions and preferred flags of its fields using a fields argument with entries for those fields you want to change.

See a description for all the arguments below. Dataset Cloning Arguments Argument TypeDescription category optional Integer The category that best describes the dataset.

See the category codes for the complete list of categories. Example: "category": 1 description optional String A description of the dataset up to 8192 characters long. Example: "description": "This is a description of my new dataset" fields optional Object Updates the names, labels, and descriptions of the fields in the new dataset.

An entry keyed with the field id of the original dataset for each field that will be updated. Specifying a range of rows. As illustrated in the following example, it's possible to provide a list of input fields, selecting the fields from the filtered input dataset that will be created. Filtering happens before field picking and, therefore, the row filter can use fields that won't end up in the cloned dataset. See the Section on filtering sources for more details.

Each new field is created using a Flatline expression and optionally a name, label, and description. A Flatline expression is a lisp-like expresion that allows you to make references and process columns and rows of the origin dataset. See the full Flatline reference here. Let's see a first example that clones a dataset and adds a new field named "Celsius" to it using an expression that converts the values from the "Fahrenheit" field to Celsius.


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