S (24) X.pdfCell Press
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von Z Yang — [25] Tan, Clarence NW, and Herlina Dihardjo. "A study of using artificial neural networks to develop an early warning predictor for credit union financial ... von Z Yang — [25] Tan, Clarence NW, and Herlina Dihardjo. "A study of using artificial neural networks to develop an early warning predictor for credit union financial ...
huthaifa riyad aljawazneh programa de doctorado en ...DIGIBUG
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von HR Aljawazneh · — [129] Clarence NW Tan and Herlina Dihardjo. “A study of us- ing artificial neural networks to develop an early warning predictor for credit ... von HR Aljawazneh · — [129] Clarence NW Tan and Herlina Dihardjo. “A study of us- ing artificial neural networks to develop an early warning predictor for credit ...
Trading System for Australian Dollar using multiple moving ...Performance Trading
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Clarence N W Tan and Herlina Dihardjo: Trading System for Australian Dollar using multiple moving averages and autoregressive models. Keywords: Trading ... Clarence N W Tan and Herlina Dihardjo: Trading System for Australian Dollar using multiple moving averages and autoregressive models. Keywords: Trading ...
Single and Two Moving Averages
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Clarence N W Tan and Herlina Dihardjo. Next: Conclusion. Summary: Index. Trading System for Australian Dollar. This paper tested two of the simplest and most ...
TAN, CLARENCE | DeepDyve
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... Gold Coast, Qld , Australia; and Herlina Dihardjo, Postgraduate Research-Student, School ... Clarence N.W. Tan; Herlina Dihardjo.
Managerial Finance: Volume 27 Issue 4Emerald Insight
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Clarence N.W. Tan, Herlina Dihardjo. Outlines previous research on company failure prediction and discusses some of the methodological issues involved ... Clarence N.W. Tan, Herlina Dihardjo. Outlines previous research on company failure prediction and discusses some of the methodological issues involved ...
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A study of using artificial neural networks to develop an ...Emerald Insight
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von CNW Tan · · Zitiert von: 96 — Clarence N.W. Tan, Herlina Dihardjo · Clarence N.W. Tan (Bond University, Gold Coast, Qld , Australia). Herlina Dihardjo (Postgraduate Research‐Student ... von CNW Tan · · Zitiert von: 96 — Clarence N.W. Tan, Herlina Dihardjo · Clarence N.W. Tan (Bond University, Gold Coast, Qld , Australia). Herlina Dihardjo (Postgraduate Research‐Student ...
PT> Currency MarketPerformance Trading
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By: Dr. Clarence N W Tan and Herlina Dihardjo. continua · The Foreign Exchange Quoting Activity as an Informative Signal. We investigate the informative ...
The profitability of MACD and RSI trading rules in the ...docplayer.net
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Clarence N W Tan and Herlina Dihardjo School of Information Technology, Bond University, QLD Abstract: More information · NEURAL networks [5] are ... Clarence N W Tan and Herlina Dihardjo School of Information Technology, Bond University, QLD Abstract: More information · NEURAL networks [5] are ...
An Implementation of Genetic Algorithms as a Basis for a Trading...
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An Implementation of Genetic Algorithms as a Basis for a Trading System on the Foreign Exchange Market ... Clarence N W Tan and Herlina Dihardjo School of ...
TRADING SYSTEM FOR AUSTRALIAN DOLLAR USING MULTIPLE MOVING AVERAGES...
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TRADING SYSTEM FOR AUSTRALIAN DOLLAR USING MULTIPLE MOVING AVERAGES AND AUTO- REGRESSIVE MODELS. *Dr. Clarence N W Tan and Herlina Dihardjo …
Combining Technical Analysis and Neural Networks in the Australian...
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... AVERAGES AND AUTO- REGRESSIVE MODELS. *Dr. Clarence N W Tan and Herlina Dihardjo School of Information Technology, Bond University, QLD Abstract:.
[PDF] TRADING SYSTEM FOR AUSTRALIAN DOLLAR USING MULTIPLE MOVING...
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Clarence Tan, Herlina Dihardjo. This paper tested two of the simplest and most popular trading rules - Auto- Regressive Models and Moving Averages - by ...
Moving Genomsnittlig Trading System Pdf « Top 5 Binary Options Apps
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TRADING SYSTEM FOR AUSTRALIAN DOLLAR USING MULTIPLE MOVING AVERAGES AND AUTOREGRESSIVE MODELS. Clarence N W Tan and Herlina Dihardjo School of Information. The moving average bounce trading system uses a short term timeframe and a single exponential moving average ...
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