We know that VIX most of the time reflects the investor/traders sentiment. When VIX is higher it means lot of fear in the market and lower VIX indicates lack of fear in the market. The problem is the sentiment can be measured only Indices like Nifty as the Volatility Index VIX is derived from implied volatility of Options. In such a case VIX FIX comes handy to replicate the VIX behaviour in other instruments like Commodities, Forex, Stocks.
HFT, on its own, is exactly what the name suggests- extremely fast, high frequency trades. Instead of placing a trade per second, High Frequency Trading firms have reached a point where they can place multiple trades within nanoseconds. Not milliseconds (1/1000th of a second) or microseconds (1 millionth of a second), but nanoseconds- that is, 1 billionth of a second.
Backtesting and Optimization to be pretty much essential step in trading strategy development. If the strategy is not performing well in the backtest results we can skip the system and move on to the next one. But if the backtest results are good then one should be extra cautious as most of the times backtesting your own Trading Strategy might give interesting results. However when comes to practical trading the scenario might be completely different and most of the times it results in a poor performance or lower than the expected backtest results.
Trading Inflation CPI number is very big fundamental economics indicator for trading NSE.But according to our complete analysis it shows. Trading on CPI number depends upon various factors i.e expectation of market CPI Number & Its future projection for Year by Top Investing companies & Stable Govt. & their policies.
Over the past few Year’s, there has been a quick shift towards algo / Quant HFT (High Frequency Trading) based trading, Where as Asset managers make 24% return in market & HFT traders make 300% Return. Both among long-term investors using execution algorithms to lower trading costs and short- term investors automating market making and statistical arbitrage strategies
Historical market data is needed in both analytics and risk management for strategy back-testing, instrument pricing, and Monte- Carlo simulations. For example, a quant may require interest rates for the past ten years in order to simulate how they may behave and affect the fixed income portfolio of the trading desk in the future.
Latency arbitrage is the practice of buying or selling an trading instrument slightly ahead of other market participants, by taking advantage of small delays in price dissemination. So Measuring the Latency between Exchanges makes sense when comes to Inter Commodities Hedging or Inter-Country Latency arbitrage.