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[1] Ruhan Hou (2023) . BTC, ETH and Dogecoin Price Prediction Based on OLS, Random Forest and XGBoost [2] S. Ji, J. Kim, H. Im (2019). A Comparative Study of Bitcoin Price Prediction Using Deep Learning. [3] Khalil, I., Aziz, O., Farooq, M. S., & Abid, A. (2019). A Tutorial On Creating a Blockchain and Cryptocurrency with Consensus Protocol in Python. [4] Elrom, E. (2018). Neo blockchain and smart contracts. [5] Treleaven, P., Brown, R. G., & Yang, D. (2017). Blockchain Technology in Finance. [6] Rizky Parlika , Sunu Ilham Pradika , Amir Muhammad Hakim , Kholilul Rachman N.M (2020). Analisis Sentimen Twitter Terhadap Bitcoin dan Cryptocurrency Berbasis Python TextBlob [7] Syed Muhammad Danish; Marios Lestas; Waqar Asif; Hassaan Khaliq Qureshi; Muttukrishnan Rajarajan (2019). A Lightweight Blockchain Based Two Factor Authentication Mechanism for LoRaWAN Join Procedure [8] Adhitio Satyo Bayangkari Karno ,Widi Hastomo , Dodi Arif dan Eka Sally Moreta (2020). Optimasi Portofolio Dan Prediksi Cryptocurrency Menggunakan Deep Learning Dalam Bahasa Python [9] Pinyaphat Tasatanattakool, Chian Techapanupreeda (2018) .Blockchain: Challenges and Applications [10] Omaji Samuel; Akogwu Blessing Omojo; Syed Muhammad Mohsin; Prayag Tiwari; Deepak Gupta; Shahab S. Band (2022) An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology [11] Stuti Karol , Veenu Mangat (2013). Evaluation of text document clustering approach based on particle swarm optimization [12] Tiantian Shi , Hao Meng (2022). A high frequency stock price prediction model based on Hermite basis expansion and LSTM neural network [13] Jilin Zhang , Lishi Ye , Yongzeng Lai (2023) . Stock Price Prediction Using CNN-BiLSTM-Attention Model [14] Qiong Wu , Jiayi Lu , Heping Zhang (2023). An improved LSTM stock price prediction model based on multiple basis function expansion and two-layer Bagging algorithm [15] L. Thanga Mariappan ,J. Arun Pandian ,V. Dhilip Kumar ,Oana Geman , ORCID,Iuliana Chiuchisan , Carmen Năstase (2023). A Forecasting Approach to Cryptocurrency Price Index Using Reinforcement Learning [16] Junwei Chen (2023). Analysis of Bitcoin Price Prediction Using Machine Learning [17] S Hansun, A Wicaksana, AQM Khaliq (2022). This study provides a comparative analysis of three different recurrent neural network models for predicting prices of cryptocurrencies including Bitcoin, Ethereum, and Cardano. [18] Xiangxi Jiang (2020) .Bitcoin Price Prediction Based on Deep Learning Methods [19] Hari Krishnan Andi (2021) . An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model [20] Jimmy Ming-Tai Wu , Zhongcui Li, Norbert Herencsar, Bay Vo , Jerry Chun-Wei Lin (2023). A graph-based CNN-LSTM stock price prediction algorithm with leading indicator [21] Yayun Liu , Yanan Yu , Weilan Yan (2017) A Prediction of Precipitation Data Based on Support Vector Machine and Particle Swarm Optimization (PSO-SVM) Algorithms [22] A. Greaves, B. Au (2015). Using the Bitcoin Transaction Graph to Predict the Price of Bitcoin [23] Jules Clément Mba , Magdaline Mbong Mai (2022). A Particle Swarm Optimization Copula-Based Approach with Application to Cryptocurrency Portfolio Optimisation [24] Yudong Zhang , Shuihua Wang , Genlin Ji (2015). A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications [25] Zi-Jia Wang , Zhi-Hui Zhan , Wei-Jie Yu , Ying Lin , Jie Zhang , Tian-Long Gu , Jun Zhang (2019). Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling [26] Saptarshi Sengupta , Sanchita Basak , Richard Alan Peters (2018). Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives [27] 宋剛 , 张云峰 , 包芳勋 , 秦超。基於粒子群優化LSTM的股票預測模型,資料日期2019年 [28] Zuherman Rustam , Puteri Kintandani (2019). Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation [29] Fatih Ecer , Sina Ardabili , Shahab S. Band , Amir Mosavi (2020). Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction [30] N.I. Indera, I.M. Yassin, A. Zabidi , Z.I. Rizman (2018). NON-LINEAR AUTOREGRESSIVE WITH EXOGENEOUS INPUT (NARX) BITCOIN PRICE PREDICTION MODEL USING PSO-OPTIMIZED PARAMETERS AND MOVING AVERAGE TECHNICAL INDICATORS
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