BVB has developed an intraday trading system based on artificial neural nets that compute and analyze real time market movements, and produces market entry and exit signals as well as advanced warnings of market movements.

Intraday Trading System.

BVB system runs in real-time and monitors short to medium term market movements.This very robust short term trading system identifies the daily market movements, and confirms the change in market direction at the very beginning of the move.

Disclaimer: Past performance does not necessarily imply future results.

The trading system also provides Weekly and Monthly analysis, at the beginning of each and every week and every Month, with great deal of accuracy. Indications of possible highs and lows of the market for that particular Week and Month are also provided for long term and options traders.

The system consists of several market analysis indicators and exhibits charts for every 5 minutes, hour and day. A stop loss is in place to protect the profits and cut losses running into unimaginable and unrecoverable sums.

Neural Nets.

The human and animal brain is composed of cells called neurons. These cells are very unique and unlike other body cells they do not die, nor do they reproduce. This is a confirmation as to why we retain information in our brain. There are 100 billion estimated numbers of neurons in a human brain and approximately 100 different types of neurons, which are well known. The collective function of neurons is called a network. Each group contains several thousand highly interconnected neurons. Therefore, a brain can be defined as a neural network. The technology, which achieves the ultimate results, is called neural computing or Artificial Neural Network.

1- on the left side is dendrites, which provide the input to the cell, and on the right is axon, which provides output to the cell.

2- Nucleus, which is the centre of the cell.

The axon merges with the dendrites and transmit signals, which are sent over synapses. The synapses has the ability to increase or decrease the strength of the connection which causes excitation and inhibition of a subsequent neuron

An artificial neural network is a model that emulates a biological neural network. The concepts are used to implement software simulations of massively parallel process involving processing elements also called neurons or neurodes, interconnected in network architecture.

The use of ANN in the financial industry has been in existence since decades. The banks use this technology to evaluate their client's ability to meet the financial risk, credit worthiness, their future payment behavior. These are excellent forecasting tools, currently being used to forecast currencies, Indices, IPO's, and even human moods. The rate of forecasting accuracy varies from 80% to 97%.

It is recommended that an individual investor must familiarize him/her (self) with the basic knowledge and the Network Theory, their use and limitations. The basic statistical measures and probabilities must also be understood. In order to pre-process the data, one must have sound knowledge of windows excel spreadsheet software. It is equally important to choose correct inputs. Changing inputs and making observations of the outputs, and then selecting the best can perform optimization of the neural nets. Each of the models discussed above should be historically tested and re tested if these are to be used for actual trading. And remember again, that technology will not and never supplant human judgment in decision making in the financial industry.