MyStockScreener for Intraday & Short-Term Trading
Hi traderji and all members of traderji family,
Happy Diwali ! The new year to follow may bring prosperity to all members of the traderji family.
I would like to present the StockScreener developed by me to the learned members of this august forum for review and suggestions for improvements. (I neither consider myself as a good programmer nor a good investor). The output of this software (identified stocks) will be posted and made available to members of this forumon a day to day basis.
I intend to share the ideas indicated below so that the seniors can give their opinion on the domain value such an application would deliver to the community so that i can freeze the requirements and get started on the release of the output of the StockScreener.
Now, about the stock screener and about the process of identifying the stocks.
The process of identifying a stock with a potential to give reasonable returns from out of more than 800 stocks traded on NSE is a herculian task, particularly for day/short-term traders as the picture changes by the end of every trading day.
I wished that a stock screener may be there to help in shortlisting the traded stocks to a few which can be studied in detail, as no software can predict the market nor can replace an expert. I searched the internet without much success. I attempted to develop one and the StockScreener is born.
In the current version, the stocks are ranked by their potential for giving returns and top 30 stocks are selected each day. The input data used is the previous few days' (3 to 5) stock price movements based on the the eod data downloaded from the NSE site. A few parameters based on volumes, prices, volatility and pivot points etc. are identified and the performance of the stock evaluated on these parameters. Low turnover and special category stocks are excluded before processing.
Each parameter identified is tested for correlation to the 'Potential' for giving returns. The ranked stocks are tested for gradient in 'potential for earnings'. My preliminary tests revealed that the results are about 65 % reliable when the market is steady.
The process of StockScreener and parameters considerd for identifying the stocks are provided in the attachment. I appeal to all learned members (with either trading edge or programming edge) to go through and offer their comments/suggestions for improvements.
The StockScreener output based on the eod data (current version) can be posted by about 7 PM on each trading day (i.e., 1 hour after Bhav copy is available at the NSE site). This leaves enough time for the investor to study the set of about 30 stocks and to decide on the game plan for the following day.
Pl. refer attached text document for detailed of process and parameters.
with kind regards
murthymsr
Hi traderji and all members of traderji family,
Happy Diwali ! The new year to follow may bring prosperity to all members of the traderji family.
I would like to present the StockScreener developed by me to the learned members of this august forum for review and suggestions for improvements. (I neither consider myself as a good programmer nor a good investor). The output of this software (identified stocks) will be posted and made available to members of this forumon a day to day basis.
I intend to share the ideas indicated below so that the seniors can give their opinion on the domain value such an application would deliver to the community so that i can freeze the requirements and get started on the release of the output of the StockScreener.
Now, about the stock screener and about the process of identifying the stocks.
The process of identifying a stock with a potential to give reasonable returns from out of more than 800 stocks traded on NSE is a herculian task, particularly for day/short-term traders as the picture changes by the end of every trading day.
I wished that a stock screener may be there to help in shortlisting the traded stocks to a few which can be studied in detail, as no software can predict the market nor can replace an expert. I searched the internet without much success. I attempted to develop one and the StockScreener is born.
In the current version, the stocks are ranked by their potential for giving returns and top 30 stocks are selected each day. The input data used is the previous few days' (3 to 5) stock price movements based on the the eod data downloaded from the NSE site. A few parameters based on volumes, prices, volatility and pivot points etc. are identified and the performance of the stock evaluated on these parameters. Low turnover and special category stocks are excluded before processing.
Each parameter identified is tested for correlation to the 'Potential' for giving returns. The ranked stocks are tested for gradient in 'potential for earnings'. My preliminary tests revealed that the results are about 65 % reliable when the market is steady.
The process of StockScreener and parameters considerd for identifying the stocks are provided in the attachment. I appeal to all learned members (with either trading edge or programming edge) to go through and offer their comments/suggestions for improvements.
The StockScreener output based on the eod data (current version) can be posted by about 7 PM on each trading day (i.e., 1 hour after Bhav copy is available at the NSE site). This leaves enough time for the investor to study the set of about 30 stocks and to decide on the game plan for the following day.
Pl. refer attached text document for detailed of process and parameters.
with kind regards
murthymsr
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