Luckyson Khaidem

The North American journal of economics and finance · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Luckyson Khaidem trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. A. Laffer
2. Ramazan Gencay

Papers from Luckyson Khaidem's perspective

Ordered by how strongly the researchers Luckyson Khaidem trusts endorse each paper. Same corpus, a different order for every researcher.

1. Greedy function approximation: A gradient boosting machine.
2. XGBoost: A Scalable Tree Boosting System
3. Efficient market hypothesis and forecasting
4. Intelligent stock trading system by turning point confirming and probabilistic reasoning
5. Stock market's price movement prediction with LSTM neural networks
6. Efficient Capital Markets: A Review of Theory and Empirical Work
7. Matplotlib: A 2D Graphics Environment
8. Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules
9. Technical Analysis: Power Tools for Active Investors
10. Random Forests

Their papers

• Predicting the direction of stock market prices using tree-based classifiers (2019) — 321 citations