FIND News Analytics
FiND Sentiment Indicator turns bearish 4-days prior to DJIA crash on October 10
The Dow Jones Industrial Average (DJIA) index witnessed a significant fall in the past week amid concerns over a surge in bond yields and trade war between the US and China. In our view, news sentiment based strategy can help investors to predict an impending movement in the market.
Heckyl has developed FiND Sentiment Indicator which reflects the underlying sentiment of news coverage on the companies within the index. The moving average strategy based on FiND Sentiment Indicator signals the potential impact of the news sentiment on the value of the underlying index.
For instance, FiND Sentiment Indicator turned bearish 4-days prior to the 832 points crash in the DJIA index on October 10 (Image 1). Our system analyzed 1,01,066 news items for 30 companies within the DJIA index for the past 6-months. Out the total, 74,780 news items were positive, while 26,286 news items were negative.
[Image 1: Bullish/ Bearish Signals defined by Sentiment Indicator Strategy vs. DJIA] Read the rest of this entry »
Singapore Inc’s growth news flow hits 2-year high in Apr’18
News flow related to growth-oriented business activities of Singapore firms touched the highest level in 2-years in April 2018, according to a study conducted by Heckyl, a leading Fintech engaged in news and financial data analytics. A surge in growth-oriented news flow signals improvement in the business confidence among companies listed in Singapore.
M&A, partnerships, product launch, contracts, and expansion were top 5 categories leading growth news flow for Singapore listed companies in April 2018. At the company level, Singapore Airlines Ltd, IHH Healthcare Bhd, and Comfortdelgro Corp Ltd led the growth news flow during April 2018.
Heckyl has a clear focus on reduction of the information arbitrage by “discovery and analysis” of the news flow in real time. Heckyl’s FiND News and Sentiment Analytics product analyses news + data from thousands of sources (including social media) in real time. Our proprietary tagging algorithm can tag a specific news category to any news based on the keywords in that news item.
[Image 1: Search by Tags screen for Singapore] Read the rest of this entry »
FiND News Sentiment strategy beats the stock market
With a clear focus on reduction of the information arbitrage, Heckyl has developed a strategy based on FiND News Sentiment Indicator for identifying bullish/ bearish patterns for the benchmark index, sector as well as individual stocks.
FiND News Sentiment Indicator reflects the underlying sentiment of news coverage on the companies. The strategy based on this indicator signals the potential impact of the news sentiment on the value of underlying index or stock.
We have constructed our strategy by taking moving averages of FiND News Sentiment Indicator. Our system generates bullish/ bearish signals based on the crossover of shorter-term (20-days) and longer-term (60-days) moving averages of FiND News Sentiment Indicator.
Bullish: When short-term 20-DMA of FiND News Sentiment Indicator is above long-term 60-DMA, underlying index or stock tends to rise. It reflects an improvement in news sentiment in recent time when compared with the past 2-months.
Bearish: When short-term 20-DMA of FiND News Sentiment Indicator is below long-term 60-DMA, underlying index or stock tends to fall. It shows a deterioration in news sentiment in recent time when compared with the past 2-months.
For simplicity, we have defined sentiment intensity as a difference between 20-DMA and 60-DMA of FiND News Sentiment Indicator to showcase bullish and bearish phases.
When the value of sentiment intensity is above 0 (20-DMA > 60-DMA), then it is a sign of bullish trend ahead. On the other hand, fall in sentiment intensity value below 0 level (20-DMA < 60-DMA) reflects bearish trend ahead.
Our back-testing proved the application of FiND News Sentiment Strategy for trading/ investment in the market. FiND News Sentiment strategy has outperformed benchmark index, sector and stock returns across time periods.
Here, we are presenting the case study on the Nifty index, Nifty Pharma and Sun Pharma to showcase how bullish/bearish signals defined by News Sentiment Strategy can help trader/ investor for beating the index/ stock returns.
NIFTY INDEX
We analyzed over 1.56 lakh news items for 50 companies within the Nifty index for the past 3-years. Out the total, 1,19,162 news items were positive, while 37,175 news items were negative.
As can be seen in below chart (Image 1), bullish/bearish signals based on news sentiment strategy can give an early indication of upward/downward movement for the 50-share index.
[Image 1: Nifty Index and Bullish/ Bearish Period defined by Sentiment Intensity]
If a trader/ investor was to buy/sell Nifty as per the bullish/bearish signal and hold the position for the period till the signal reverses versus an investment in Nifty, the returns would be significantly higher.
[Image 2: Returns based on Sentiment Signal and Nifty Index performance] Read the rest of this entry »
Analyzing Tesla’s recent downfall through an innovative lens
FiND News Analytics and Litigation product tracks and analyses news + legal cases from thousands of data sources in real time. We have a clear focus on reduction of the information arbitrage by “discovery and analysis” of the news flow and legal cases in real time.
Of late, Tesla stocks have tumbled by quite. The stock price downfall coincided with negative news coverage. A review of company media coverage shows that most of the negative news items were related to Legal, Recalls, and Bankruptcy.
Heckyl Sentiment Score Acts as a Leading Indicator for Canadian Stocks
Heckyl Technologies, a leading news sentiment and market data analytics firm, has conducted a study to highlight how a trader can use sentiment scores to predict impending stock price movement. We have analyzed news sentiment data for 246 Canadian companies listed on Toronto Stock Exchange (TSX) from January 2016 to July 2016. On numerous occasions, our sentiment score has acted as a leading indicator for the share price movement of 213 companies or 87% of the total sample size.
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