WTT Academy

Sentiment Cycles / PsychSignal

Lesson

Sentiment Market Review April/August 2015

Real-Case review of the sentiment analysis done on 28th April for the upcoming market top and the expected drop into end of August. Step by step review on how to analyse sentiment cycles according to the lead time on price data.

Social Media Sentiment cycles in EUR/USD currency pair

Realtime forecast from March 2015 based on social media sentiment cycles which predicted an increase in the EUR/USD pair.

Finovate 2015: PsychSignal Sentiment Cycles

FinovateSpring 2015 Demo Presentation - New Product Launch
PsychSignal & Sentiment Cycles using the integrated cycles detection alogrithms from whentotrade / Lars von Thienen
Presenters: James Crane-Baker (CEO), Bjorn Simundson (CMO)
Date: 12/13 May 2015
Source: http://finovate.com/videos/finovatespring-2015-psychsignal/

PsychSignal Integration 94% accuracy on NASDAQ

The seminar shows the integration of PsychSignal's social media sentiment data into the WTT charting application for dominant cycle analysis. The non-interrupted period from 2013-2015 was used to show how to map & trade social sentiment cycle turns on the Nasdaq 100 Index during bar-by-bar realtime conditions. This example shows an signal accurary of 94%, achieved based on pure standard settings.

The Importance to Detect and Track Dominant Sentiment Cycles: Financial Stress Index

Understanding sentiment cycles in financial stress is critical to generating returns in the current market environment. The St. Louis Fed Financial Stress Index (STLFSI) is a vehicle that can be used to analyze sentiment data.

Dynamic cycle tools have be applied to this dataset to check if important dominant cycles can be detected to forecast financial stress extremes on June 2014.

Trading Social Media Sentiment Cycles (Silver Nov. 2014)

Social media has become important for online communication among market participants for stock market news. This video demonstrates how social media sentiment can be used to predict financial cycles. In particular, it shows how social chatter, pre-processed from PsychSignal, is used to forecast market turns in silver. (Result: Sentiment cycles predicted a +10% up-move in SLV ETF and a +20% up-move in Silver Futures. Based on a live forecast published before the fact.)

Sentiment Market Review April/August 2015 Social Media Sentiment cycles in EUR/USD currency pair Finovate 2015: PsychSignal Sentiment Cycles PsychSignal Integration 94% accuracy on NASDAQ The Importance to Detect and Track Dominant Sentiment Cycles: Financial Stress Index Trading Social Media Sentiment Cycles (Silver Nov. 2014)