Divergence is India’s largest traders web conference and first ever online conference from marketcalls. This year we are focusing on topics like System trading, Amibroker AFL Programming, Market Profile, Trading Sentiment Analysis, Traders Psychology and Options Strategies.
Hodrick Prescott Filter does Time series decomposition involves separating a time series into several distinct components(Cycle component and Trend Component). And this filter looks like it can be applied to any timeseries data especially with stock prices to understand the underlying trend and the cycle involved in it. Should be a better tool for Stock Cycle lovers!
This is a short post to let you know that I’ll be speaking at 37th ATMA Bangalore Educational Meeting on the Dec 12th 2015. The Educational Meeting will focus on Trading Sentiment Analysis and how to stay away from the retail crowd.
Here is an yet another interesting python tutorial to fetch intraday data using Google Finance API , , store the data in csv format and also plot the intraday data as candlestick format. We are using plotly library for plotting candlestick charts and pandas to manage time-series data.
Complete turnaround on the weekly sentiment of Nifty and Bank Nifty future weekly charts. Market holds the positive sentiment despite weekness in the asian market. FII are relentless sellers in the November month and DII are supporting the market with their relentless buying. The Reserve Bank of India (RBI) fifth bi-monthly monetary policy will be declared on Tuesday. Street expectation is that current RBI monetary policy is likely to be a non event.
In the last tutorial we had seen how to import data from NSEindia using NSEpy library and how to compute co-integration. In this tutorial we will be using plotly – a library to visualize your data interactively and pandas – library to manage time series data to build interactive candle stick charts.
Both Unit Linked Insurance Plan (ULIP) and Mutual Fund (MF) have found a lot of favour amongst the investors. With their varied features, both of them present investment opportunities, based on an investor’s financial goals and risk-appetite.
Nifty Daily continues to be in positive sentiment for the last 5 trading sessions. However the weekly sentiment holds negative for the last three weeks and likely to continue for yet another week. On contrary Banknifty sentiment turns positive on Daily and weekly charts after the friday’s price action. Bank Nifty is expected to outperform Nifty in the upcoming trading sessions.
Most frequently asked questions about Divergence 2016
Nifty responded negatively to the Bihar election results (declared on sunday). Sentimental & emotional traders/investors strongly reacted to the news followed by sharp intraday recovery in the market and India VIX ends with strong decline right from the beginning of the market open
Here is a simple example to compute Cointegration between two stock pairs using python libraries like NSEpy, Pandas, statmodels, matplotlib
Sentimental Dashboard is added in our live charting section (NSESignals and MCX Signals Section) to measure the strength in the market. Sentimental Dashboard shows 8 historical values for Multiple Timeframes like 15min, Hourly and Daily). And the reading ranges between 0-100. The right most meter indicates the most recent value.
After 6 consecutive losses nifty spot made an attempt to close positive marginally. Nifty Daily sentiment turned positive at open and maintained the positivism throughout the session. Previous Sentimental Gap Down levels are at 8217 and 8252 and the professional gap 8359 zone remains unfilled so far. Overall traders sentiment is bearish on nifty as people has mixed opinion about Bihar polls.