Hi,
With the change in format of data from NSE, many automatic data providers are now shifting to yahoo data & yahoo data is how much reliable we all know. But if you are looking for NSE original data ( direct from NSE) & looking for EOD or IEOD data of NSE in Metastock or Amibroker Format then you have come to right place.
Our data has been built on data of NSE directly. We dont use yahoo data and dont even recommend you to use it. Simple logic is that if data is incomplete or wrong then charts will be wrong and so u r analysis. where one should see H&S, what if he sees ascending triangle. So think again before going for cheap and free data of yahoo.
We can help you in obtaining NSE EOD data & NSE IEOD data. We will give you daily one data file which will contain data for that trading day. We will also guide you step by step on how to update your EOD data daily just by spending 2-3 minutes a day. Its as simple as 1-2-3.
We are not giving this for free but charging a nominal fee of 2000 Rs. per annum per exchange.
For ex,
NSE EOD Rs 2000 Per annum. (NSE all stocks with all NSE AND BSE INDICES from 1st date of listing).
NSE IEOD Rs 2000 Per annum. (cash market data for only those stocks which are traded in fut and options market)
combo Rs 3800 Per annum.
If you are interested then contact us at yahoo id navneet.singhal001@yahoo.com or drop an email @ navneet.singhal001@gmail.com
Thanks & Regards
Navneet Singhal.
Tuesday, December 1, 2009
Wednesday, March 18, 2009
How can I find and delete local securities that are no longer trading?
A good technical analysis trader regularly cleans up the symbol lists they use for trading. Creating an exploration to identify securities that are no longer trading takes just a moment and saves you time in the future. The following method identifies securities that are no longer trading and provides a way to easily remove them from your lists.
Create a new exploration with the following formula:
Col A name: month, Col A formula: Month()
Col B name: day, Col B formula: DayOfMonth()
Col C name: year, Col C formula: Year()
Filter ( (Year() < 2009) OR (Month() < 2) )
Run the exploration. The results will be the securities that are no longer trading. Select all of the results and delete them.
Below is a step by step process of how to create this exploration:
1. Open MetaStock
2. Open the Tools menu
3. Select The Explorer
4. Click New
5. Name the new exploration (we suggest "no longer trading")
6. In Column A, type in the following:
- name: month
- formula: Month()
7. In Column B, type in the following:
- name: day
- formula: DayOfMonth()
8. In Column C, type in the following:
- name: year
- formula: Year()
9. In the filter column, type in the following
- ( (Year() < 2009) OR (Month() < 2) )
- Note: you'll want to change the '2009' and '2' to the current year and month before you run this exploration.
10. Click OK
11. Click Explore
12. Add your data folders to the Select Securities dialog
13. Click OK
14. Click Reports when complete and select the Results tab
15. Select the first security, hold down the Shift key and click on the last security
16. Right click on the selected securities
17. Select delete securities
Create a new exploration with the following formula:
Col A name: month, Col A formula: Month()
Col B name: day, Col B formula: DayOfMonth()
Col C name: year, Col C formula: Year()
Filter ( (Year() < 2009) OR (Month() < 2) )
Run the exploration. The results will be the securities that are no longer trading. Select all of the results and delete them.
Below is a step by step process of how to create this exploration:
1. Open MetaStock
2. Open the Tools menu
3. Select The Explorer
4. Click New
5. Name the new exploration (we suggest "no longer trading")
6. In Column A, type in the following:
- name: month
- formula: Month()
7. In Column B, type in the following:
- name: day
- formula: DayOfMonth()
8. In Column C, type in the following:
- name: year
- formula: Year()
9. In the filter column, type in the following
- ( (Year() < 2009) OR (Month() < 2) )
- Note: you'll want to change the '2009' and '2' to the current year and month before you run this exploration.
10. Click OK
11. Click Explore
12. Add your data folders to the Select Securities dialog
13. Click OK
14. Click Reports when complete and select the Results tab
15. Select the first security, hold down the Shift key and click on the last security
16. Right click on the selected securities
17. Select delete securities
How to use BOLLINGER BAND
Hi,
Bollinger Band Basics Contributed by John Bollinger
Bollinger Bands are available on MetaStock and most charting software. They have become popular primarily because they answer a question every investor needs to know: Are prices high or low?
What are Bollinger Bands? They are curves drawn in and around the price structure on a chart providing a relative definition of high and low. To wit: Prices near the upper band are high, prices near the lower band are low.
The base of the bands is a moving average that is descriptive of the intermediate-term trend. This average is known as the middle band and its default length is 20 periods. The width of the bands is determined by a measure of volatility called standard deviation. The data for the volatility calculation is the same data that was used for the moving average. The upper and lower bands are drawn at a default distance of two standard deviations from the average.
These are the standard Bollinger Band formulas
Upper band = Middle band + 2 standard deviations
Middle band = 20-period moving average
Lower band = Middle band - 2 standard deviations
To teach you how to use Bollinger Bands effectively would take a book, however the following rules serve as a good beginning point.
15 Basic Rules for Using Bollinger Bands
1. Bollinger Bands provide a relative definition of high and low.
2. That relative definition can be used to compare price action and indicator action to arrive at rigorous buy and sell decisions.
3. Appropriate indicators can be derived from momentum, volume, sentiment, open interest, inter-market data, etc.
4. Volatility and trend already have been deployed in the construction of Bollinger Bands, so their use for confirmation of price action is not recommended.
5. The indicators used for confirmation should not be directly related to one another. Two indicators from the same category do not increase confirmation. Avoid colinearity.
6. Bollinger Bands can be used to clarify pure price patterns such as M-type tops and W-type bottoms, momentum shifts, etc.
7. Price can, and does, walk up the upper Bollinger Band and down the lower Bollinger Band.
8. Closes outside the Bollinger Bands can be continuation signals, not reversal signals--as is demonstrated by the use of Bollinger Bands in some very successful volatility-breakout systems.
9. The default parameters of 20 periods for the moving average and standard deviation calculations, and two standard deviations for the bandwidth are just that, defaults. The actual parameters needed for any given market/task may be different.
10. The average deployed should not be the best one for crossover signals. Rather, it should be descriptive of the intermediate-term trend.
11. If the average is lengthened the number of standard deviations needs to be increased simultaneously; from 2 at 20 periods, to 2.1 at 50 periods. Likewise, if the average is shortened the number of standard deviations should be reduced; from 2 at 20 periods, to 1.9 at 10 periods.
12. Bollinger Bands are based upon a simple moving average. This is because a simple moving average is used in the standard deviation calculation and we wish to be logically consistent.
13. Be careful about making statistical assumptions based on the use of the standard deviation calculation in the construction of the bands. The sample size in most deployments of Bollinger Bands is too small for statistical significance and the distributions involved are rarely normal.
14. Indicators can be normalized with %b, eliminating fixed thresholds in the process.
15. Finally, tags of the bands are just that, tags not signals. A tag of the upper Bollinger Band is NOT in-and-of-itself a sell signal. A tag of the lower Bollinger Band is NOT in-and-of-itself a buy signal.
These rules outline the basic guidelines for using Bollinger Bands. For a more comprehensive understanding of the bands, I suggest that you read “Bollinger On Bollinger Bands”. The book starts with the basics, builds to the complex and teaches the technical analysis process including which indicators to use and how to read charts.
The Bollinger Band Tool Kit for MetaStock provides easy to use implementations of all the trading systems and indicators from the book.
Bollinger Band Basics Contributed by John Bollinger
Bollinger Bands are available on MetaStock and most charting software. They have become popular primarily because they answer a question every investor needs to know: Are prices high or low?
What are Bollinger Bands? They are curves drawn in and around the price structure on a chart providing a relative definition of high and low. To wit: Prices near the upper band are high, prices near the lower band are low.
The base of the bands is a moving average that is descriptive of the intermediate-term trend. This average is known as the middle band and its default length is 20 periods. The width of the bands is determined by a measure of volatility called standard deviation. The data for the volatility calculation is the same data that was used for the moving average. The upper and lower bands are drawn at a default distance of two standard deviations from the average.
These are the standard Bollinger Band formulas
Upper band = Middle band + 2 standard deviations
Middle band = 20-period moving average
Lower band = Middle band - 2 standard deviations
To teach you how to use Bollinger Bands effectively would take a book, however the following rules serve as a good beginning point.
15 Basic Rules for Using Bollinger Bands
1. Bollinger Bands provide a relative definition of high and low.
2. That relative definition can be used to compare price action and indicator action to arrive at rigorous buy and sell decisions.
3. Appropriate indicators can be derived from momentum, volume, sentiment, open interest, inter-market data, etc.
4. Volatility and trend already have been deployed in the construction of Bollinger Bands, so their use for confirmation of price action is not recommended.
5. The indicators used for confirmation should not be directly related to one another. Two indicators from the same category do not increase confirmation. Avoid colinearity.
6. Bollinger Bands can be used to clarify pure price patterns such as M-type tops and W-type bottoms, momentum shifts, etc.
7. Price can, and does, walk up the upper Bollinger Band and down the lower Bollinger Band.
8. Closes outside the Bollinger Bands can be continuation signals, not reversal signals--as is demonstrated by the use of Bollinger Bands in some very successful volatility-breakout systems.
9. The default parameters of 20 periods for the moving average and standard deviation calculations, and two standard deviations for the bandwidth are just that, defaults. The actual parameters needed for any given market/task may be different.
10. The average deployed should not be the best one for crossover signals. Rather, it should be descriptive of the intermediate-term trend.
11. If the average is lengthened the number of standard deviations needs to be increased simultaneously; from 2 at 20 periods, to 2.1 at 50 periods. Likewise, if the average is shortened the number of standard deviations should be reduced; from 2 at 20 periods, to 1.9 at 10 periods.
12. Bollinger Bands are based upon a simple moving average. This is because a simple moving average is used in the standard deviation calculation and we wish to be logically consistent.
13. Be careful about making statistical assumptions based on the use of the standard deviation calculation in the construction of the bands. The sample size in most deployments of Bollinger Bands is too small for statistical significance and the distributions involved are rarely normal.
14. Indicators can be normalized with %b, eliminating fixed thresholds in the process.
15. Finally, tags of the bands are just that, tags not signals. A tag of the upper Bollinger Band is NOT in-and-of-itself a sell signal. A tag of the lower Bollinger Band is NOT in-and-of-itself a buy signal.
These rules outline the basic guidelines for using Bollinger Bands. For a more comprehensive understanding of the bands, I suggest that you read “Bollinger On Bollinger Bands”. The book starts with the basics, builds to the complex and teaches the technical analysis process including which indicators to use and how to read charts.
The Bollinger Band Tool Kit for MetaStock provides easy to use implementations of all the trading systems and indicators from the book.
Saturday, March 14, 2009
NSE Intraday RT Data vendors in India
Hi,
Various Data Vendors on basis of Costs.
1) eSignal/Reuters www.esignalindia.com 3000 Rs. P.Month or Rs. 24000 Per annum (Trial for 3 days, Tick data, all f&o stocks cash and fut data. No OI, Autoupdate in Metastock.) Good service but a heavy software which hanged my ODIN trading software. Take trial first before joining. Genuine data from NSE.
2) Viratech www.viratechindia.com 49000 Rs. P.Annum. I had this one used for 1 year. Its pretty good but I missed few things. OI data is not there. Tick and 1 Min charts not there. Cash stocks are limited only around 50. Futures charts are there. Genuine data from NSE.
In case you have any questions about my experience with them then can contact me.
3) www.soubhagya.biz 22000 Rs. P.Annum. (Tick data, all fut stocks in cash and fut data) Taking trial now, will update soon. Genuine data from NSE.
4) www.stoxtrend.com 3120 Rs. P.Month.
5) http://www.market-data-provider.com/ 1500 Rs. P.Month. (Take Trial for 5 Days first, I didnt like it Because only that chart is updated which is open. so in order to update all nse charts, u need to open all. so useless service for me. Data is from yahoo, not genuine data.
6) http://www.truedataindia.com/ 495 Rs. P. Month. ( Take Trial for 15 days, it gives everything. But I suggest first take trial for few days atleast and when satisfied then only subscribe.) Data is from yahoo, not genuine data.
7) http://www.techtradeindia.com/ 24000 Rs. Per Annum. (Exactly similar to Viratech india).
8 http://www.charts2trade.com/ 24000 Rs. per annum (Exactly similar to Viratech india. Cash and future charts can not exceed 500.)
Various Data Vendors on basis of Costs.
1) eSignal/Reuters www.esignalindia.com 3000 Rs. P.Month or Rs. 24000 Per annum (Trial for 3 days, Tick data, all f&o stocks cash and fut data. No OI, Autoupdate in Metastock.) Good service but a heavy software which hanged my ODIN trading software. Take trial first before joining. Genuine data from NSE.
2) Viratech www.viratechindia.com 49000 Rs. P.Annum. I had this one used for 1 year. Its pretty good but I missed few things. OI data is not there. Tick and 1 Min charts not there. Cash stocks are limited only around 50. Futures charts are there. Genuine data from NSE.
In case you have any questions about my experience with them then can contact me.
3) www.soubhagya.biz 22000 Rs. P.Annum. (Tick data, all fut stocks in cash and fut data) Taking trial now, will update soon. Genuine data from NSE.
4) www.stoxtrend.com 3120 Rs. P.Month.
5) http://www.market-data-provider.com/ 1500 Rs. P.Month. (Take Trial for 5 Days first, I didnt like it Because only that chart is updated which is open. so in order to update all nse charts, u need to open all. so useless service for me. Data is from yahoo, not genuine data.
6) http://www.truedataindia.com/ 495 Rs. P. Month. ( Take Trial for 15 days, it gives everything. But I suggest first take trial for few days atleast and when satisfied then only subscribe.) Data is from yahoo, not genuine data.
7) http://www.techtradeindia.com/ 24000 Rs. Per Annum. (Exactly similar to Viratech india).
8 http://www.charts2trade.com/ 24000 Rs. per annum (Exactly similar to Viratech india. Cash and future charts can not exceed 500.)
In my view, a realtime data vendor should give following things:-
1 Tick by Tick data without delay of more than 2-3 seconds.
2 OI data.
3 All charts should update automatically once the application has been started.
4 There should be no limit on number of stocks in cash market.
5 Future and options data if possible.
6 Historical data of past 1 month for Tick charts, 6 months for Hourly charts, and complete history for EOD data.
If you are looking for NSE EOD data then wait for our next post on EOD data.
Thanks & Regards
Navneet Singhal.
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