social media sentiment trading forex
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Social media sentiment trading forex amazons ipo

Social media sentiment trading forex

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We took as predictors the two most recent days of daily bullish and bearish indicators data. These daily predictors were smoothed using an EMA Exponential Moving Average indicator and acted as the regressors independent variables in our model. We applied linear regression to the resultant matrix of regressor values and the vector of the regressand values. The regression parameters were set as weights in the indicator formula and the following signal logic was applied:.

If indicator is positive and current price is lower than the 50 day EMA-smoothed day close price, then open a long position at market close and close that position at next market open. If indicator is negative and current price is higher than 50 day EMA-smoothed day close price with then open a short position at market close and close that position at next market open. RSI based model. In this model, daily predictors are smoothed by collecting data for each predictor into an EMA indicator.

Winners 13 26 19 47 Max Conseq. Losers 15 16 14 13 Detailed results 1. Winners 13 55 34 Max Conseq. Losers 15 23 Winners 26 34 23 Max Conseq. Losers 16 40 Winners 19 35 26 Max Conseq. Losers 14 17 Deltix provides software and services to buy-side and sell-side firms for quantitative research and algorithmic trading.

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