Trade with Ajeet Singh

A Free trading Hub for fellow traders, updated fortnightly.

20 Nov 2017

Stocks 20-20

Nest To AmiBroker Data Feeder

Nest to AmiBroker Data Feeder is a utility which facilitates to transfer data from NEST Trading Terminal to Amibroker. Which provides RealTime and Backfill data to Amibroker from Nest Trading Terminal, it supports NSE equity, NSE futures and Option, MCX, Currency Market (CDS), and also BSE Exchanges.

Nest to AmiBroker Data Feeder takes Real Time data from Nest Terminal using RTD feature of Nest Terminal and it provides Backfill from Nest Plus Data table, also provides google Backfill for NSE equity stocks. 

Silent Features of Nest to Amibroker data Feeder

  • Updates RealTime Tick data to Amibroker.
  • Updates data for all the available symbols in the watchlist
  • User can backfill data using Nest Plus data table.
  • Google backfill facility available for NSE equity stocks. 
  • User can Map the watchlist symbols as he required.
  • Works On booth 32 and 64 bit operating system.
  • Easy to navigate the application.
  • Supports NSE equity, NSE futures and Option, MCX, Currency Market (CDS), and also BSE Exchanges.
* To run Nest to Amibroker Data Feeder you need Microsoft dot net 4.6,
you can download it here

Price for cracked version: Rs.499
Sms/Whatsapp: 96500-350-67
Pay to: ajeets@yesbank
(Mention your name in remarks)

17 Nov 2017

Stocks 20 20

15 Nov 2017

Resistances at 25460 & 25520
If breaks 25520 and holds then will try to move 25620
Supports are at 25345 & 25275
and if trades below 25275 then next support at 25150

Sun Pharma: Sell - 526, Goal - 500, Stoplaus - 532

Gayle: Buy - 456, Goal - 475, Stoplaus - 450

Bank of Baroda: Buy - 174, Goal - 184, Stoplaus - 171

Lupine: Sell - 835, Goal - 800, Stoplaus - 845

Laurus Labs: Buy - 524, Goals - 535, Stoplaus - 521

Indiabulls Housing: Buy - 1192, Target - 1250, Stoplaus - 1180

Sumit Industries: Buy - 33.8, Goal - 37, Stoplaus - 33

Indo Count: Sell - 112, Goal - 100, Stoplaus - 115

Gitanjali James: Buy - 71.25, Goal - 80, Stoplaus - 70

Panicias Biotech: Buy - 231, Target - 245, Stoplaus - 225

Engineers India: Buy - 183, Goal - 195, Stoplaus - 180

NBCC: Buy - 270, Goal - 290, Stoplaus - 268

NHPC: Buy - 27, Target - 29, Stoplaus - 26.5

SJVN: Buy - 34, Goal - 36, Stoplaus - 33.5

Indian Bank: Buy - 401, Goal - 425, Stoplaus - 400

NLC India: Buy - 100, Goal - 110, Stoplaus - 98

HPCL: Buy - 493, Goal - 510, Stoplaus - 490

IOC: Buy - 387, Goal - 410, Stoplaus - 380

Chennai Petro: Buy - 419, Goal - 430, Stoplaus - 415

MRPL: Buy - 122, Goal - 135, Stoplaus - 120

14 Nov 2017

Resistances at 25500 & 25560
If breaks 25560 and holds then will try to move 25650
Supports are at 25400 & 25350
and there after 25250
If afraid of BNF then apply any EMA trade to YESBANK

Expected to open flattish note
Resistances at 10295 & 10320
If breaks 10320 and holds then will try to move 10375
Supports at 10240 & 10215
Below 10215 I see more selling pressure upto 10190

Google Data Downloader

Sincere thanks to RMIKE for this wonderful utility

  1. This is a Python distributable utility to download 1 min historical data for NSE from Google finance. This is compiled to work on Microsoft Windows OS. Will not work for Mac and Linux OS.
  2. Important – Follow all instructions regarding package and file placement. Don’t modify the name of any file or folder!!!
  3. Download the zip package from the provided link, unzip the package to the root directory of your C: drive. This will place the ‘PyDownloader’ Folder in C: drive, like so “C:\PyDownloader”.
  4. Inside the PyDownloader Folder, you’ll find the following :-

    (a) ‘TickerList’ Text File – Enter Ticker symbols for which data is required. The sample Tickers viz. Nifty & BANKNIFTY are placed in the list as reference example. Input to list each desired Ticker in a separate line. The maximum limit of the TickerList is 100 Tickers
    (b) ‘Data’ Folder – The downloaded 1 min historical data by the utility will be written to this folder as a csv file for each individual Ticker in the TickerList. Historical 1 min IEOD can be downloaded for a maximum of 15 trading days.
    (c) ‘PyD.format’ File – If you wish to manually import the downloaded IEOD into Amibroker, place this file in the ‘Formats’ Folder of your Amibroker installation. You’ll also need to edit the ‘import.types’ file in the Formats folder by inserting the following instruction.PyDownloader (*.*)|*.*|PyD.format

    (d) ‘PyDn_v1.0_Lic’ – The License file for the utility.(e) ‘PyDn_v1.0 Help’ Pdf File – Help file.(f) ‘PyDownloader_nse_v1.0.exe’ – The executable distro package of the utility.
  5. After inputting desired Tickers in TickerList, double click on PyDownloader_nse_v1.0.exe. A console window will pop up. This window will remain inactive for some while (approx. 40 to 65 seconds, depending upon your rig’s CPU and RAM configuration) during which the Python virtual environment is loaded for the utility to function.
  6. After the virtual environment loading is complete, the console window becomes active. As the utility executes, it will ask the user to input the desired no. of days for which IEOD is required to be downloaded.
  7. Input the no. of days as a NUMBER. For e.g Three days = 3 and NOT 03 OR Three. And Fourteen days = 14 and NOT 014 OR Fourteen. After providing input, press Enter/ Return. The utility will then execute as per the user input for no. of days and no. of Tickers in TickerList. The image below illustrates the example of downloading IEOD for 1 day for NIFTY & BANKNIFTY.
  8. After the process is complete, the utility and the console window will auto exit. The IEOD can then be imported from the ‘Data’ Folder
  9. This utility is distributed ‘as is’ without any cost to user for providing retail traders with means to utilize publically available data from Google Finance for analytical purposes. No user is authorized to distribute this utility without credit to the copyright holder(s). No user is authorized to commercialize this utility in any form.

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