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» Cryptocurrency literature review (95) foto
Cryptocurrency literature review (95) foto
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cryptocurrency review
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![Literature Review] Lazarus Group Targets Crypto-Wallets and Financial Data while employing new Tradecrafts](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/lazarus-group-targets-crypto-wallets-and-financial-data-while-employing-new-tradecrafts-3.png)
![Literature Review] Real-CATS: A Practical Training Ground for Emerging Research on Cryptocurrency Cybercrime Detection](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/real-cats-a-practical-training-ground-for-emerging-research-on-cryptocurrency-cybercrime-detection-3.png)
![Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2025/cs-2675/1/fig-3-full.png)
![Literature Review] Mining Tweets to Predict Future Bitcoin Price](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/mining-tweets-to-predict-future-bitcoin-price-3.png)
![Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2025/cs-2675/1/fig-1-2x.jpg)
![Literature Review] Identifying Money Laundering Subgraphs on the Blockchain](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/identifying-money-laundering-subgraphs-on-the-blockchain-1.png)
![Literature Review] Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/leveraging-time-series-categorization-and-temporal-fusion-transformers-to-improve-cryptocurrency-price-forecasting-4.png)
![Literature Review] PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/pulsereddit-a-novel-reddit-dataset-for-benchmarking-mas-in-high-frequency-cryptocurrency-trading-2.png)
![Literature Review] Machine Learning-Based Detection of Pump-and-Dump Schemes in Real-Time](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/machine-learning-based-detection-of-pump-and-dump-schemes-in-real-time-2.png)
![Using algorithmic trading to analyze short term profitability of Bitcoin [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-337/1/fig-2-full.png)
![High-Frequency Cryptocurrency Price Forecasting using Machine Learning Models: A Comparative Study[v1] | Preprints.org](https://www.preprints.org/frontend/picture/ms_xml/manuscript/5ee257a39658e0e8970b72fb7f558964/preprints-151249-g001.png)
![Literature Review] Security Analysis and Implementation of Cryptocurrency Systems on Blockchain 2.0](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/security-analysis-and-implementation-of-cryptocurrency-systems-on-blockchain-20-1.png)
![Literature Review] From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/from-on-chain-to-macro-assessing-the-importance-of-data-source-diversity-in-cryptocurrency-market-forecasting-2.png)
