Nseindia Lob Save

National Stock Exchange of India Limit Order Book Simulation

Project README

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National Stock Exchange of India Limit Order Book Simulation

This package implements a limit order book that simulates the processing of limit/market orders on India's National Stock Exchange (NSE).

Requirements

The code requires the following software for installation (older versions may work, but haven't been tested):

  • Python 2.7 or later.
  • cython <http://www.cython.org/>_ 0.19.1 or later.
  • numpy <http://www.numpy.org/>_ 1.7.0 or later.
  • pandas <http://pandas.pydata.org/>_ 0.10 or later.
  • odict <https://github.com/bluedynamics/odict/>_ 1.5.0 or later.
  • rbtree <https://bitbucket.org/bcsaller/rbtree/>_ 0.9.0 or later.

Installation

Build the extension by running: ::

python setup.py build_ext --inplace

Running the Simulation

To run the simulation, invoke the simulation script with a specified firm name, output directory, and list of input files. For example: ::

 python lob.py INCI ./output INCI-orders-03092013.csv.gz INCI-orders-03102013.csv.gz
 

A sample data file (EXAMPLE-orders.csv) is included. A script for launching the code on a Sun Grid Engine cluster is also included; the script requires the drmaa-python <http://drmaa-python.github.io/>_ package. To use the script, replace the listed security names accordingly.

Input File Format

The simulation requires input files in CSV format comprising the following columns with the indicated byte lengths. The input file may be compressed with gzip.

record indicator (2) Ignored. segment (4) Ignored. order number (16) 8 left-most digits are date YYYYMMDD, followed by 00000001-99999999. transaction date (10) MM/DD/YYYY transaction time (14) HH:MM:SS.XXXXXX, where XXXXXX is microseconds. buy/sell indicator (1) Must be either 'B' or 'S'. activity type (1) Must be 1 (order add), 3, (order cancel), or 4 (order modify). symbol (10) Firm identifier. instrument (6) Ignored. expiry date (10) MM/DD/YYYY strike price (variable) Integer. option type (2) Ignored. volume disclosed (variable) Integer. volume original (variable) Integer. limit price (variable) Float. trigger price (variable) Float. market flag (1) 'Y' for market order, 'N' for limit order. stop loss flag (1) 'Y' for stop loss order, 'N' for regular lot order. Immediate-or-Cancel (IOC) flag (1) 'Y' for IOC, 'N' for non-IOC. spread/combination type (1) Ignored. algo indicator (1) Ignored. client identity flag (1) Ignored.

Methodology and Implementation

The limit order book is implemented as two red-black trees of queues corresponding to different buy and sell price levels. The use of red-black trees accelerates determination of the bid and ask prices at any step of the simulation. Further acceleration is achieved by compiling the simulation with Cython.

Order processing is restricted to the orders with the first futures expiration date observed during processing; all other orders are ignored.

Submitted orders may be add requests, modification requests, or cancellation requests. Both market and limit orders are supported; during processing, the former are discarded if they fail to match any orders already in the book. Residual volume for IOC orders is discarded. Orders that have explicitly disclosed (i.e., non-zero) volumes are assumed to be hidden; if any such orders in a price level queue, they are matched against a new incoming order AFTER orders with zero disclosed volume.

Daily stats are accumulated during the simulation and are reset when the date associated with the processed orders changes.

Author

The code was written by Lev Givon in 2012-2013 for Prof. Costis Maglaras at Columbia Unversity's Business School.

License

See included LICENSE file.

Open Source Agenda is not affiliated with "Nseindia Lob" Project. README Source: lebedov/nseindia_lob
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