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What Drives Cryptocurrency Prices?

https://doi.org/10.1145/3308897.3308955
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/b978-0-12-802117-0.00002-3openalex-snapshot
Is Bitcoin a Real Currency? An Economic Appraisal
inferredcites →https://doi.org/10.1016/j.dss.2016.12.001openalex-snapshot
The technology and economic determinants of cryptocurrency exchange rates: The case of Bitcoin
inferredcites →https://doi.org/10.1038/srep03415openalex-snapshot
BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era
inferredcites →https://doi.org/10.1080/07421222.2018.1440774openalex-snapshot
How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis
inferredcites →https://doi.org/10.1080/13504851.2018.1488040openalex-snapshot
Bitcoin price and its marginal cost of production: support for a fundamental value
inferredcites →https://doi.org/10.1108/jrf-06-2017-0092openalex-snapshot
Using sentiment analysis to predict interday Bitcoin price movements
inferredcites →https://doi.org/10.1371/journal.pone.0161197openalex-snapshot
Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies
inferredcites →https://doi.org/10.1371/journal.pone.0195200openalex-snapshot
Cryptocurrency price drivers: Wavelet coherence analysis revisited
inferredcites →https://doi.org/10.1609/icwsm.v8i1.14550openalex-snapshot
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
inferredcites →https://doi.org/10.2139/ssrn.2515233openalex-snapshot
Exploring the Determinants of Bitcoin Exchange Rate
inferredcites →https://doi.org/10.2139/ssrn.3078248openalex-snapshot
Metcalfe's Law as a Model for Bitcoin's Value
inferredcites →https://doi.org/10.3386/w19747openalex-snapshot
Is Bitcoin a Real Currency? An economic appraisal
inferredcites →https://doi.org/10.48550/arxiv.1406.7577openalex-snapshot
Nowcasting the Bitcoin Market with Twitter Signals

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Multimodal Model with Twitter Finbert Embeddings for Extreme Price Movement Prediction of Bitcoin
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Dutch auction dynamics in non-fungible token (NFT) markets
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Big Data and Cryptocurrency
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Using Machine Learning to Predict Short-Term Movements of the Bitcoin Market
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Experimental Evaluation of Scale, and Patterns of Systematic Inconsistencies in Google Trends Data
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Response of BTC Market to Social Media Sentiment: Application of Cross-Quantilogram with Bootstrap
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Cryptocurrency Investment Using the Analytic Hierarchy Process
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Optimizing E-Sports Revenue: A Novel Data Driven Approach to Predicting Merchandise Sales Through Data Analytics and Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-6839-7_10openalex-snapshot
Forecasting and Trading Cryptocurrencies with Machine Learning Under Changing Market Conditions
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Cryptocurrency Trading: A Comprehensive Survey
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Bridging Social Media and Cryptocurrency: A Deep Learning-Based Twitter Sentiment Analysis for Bitcoin Market
inferred← citeshttps://doi.org/10.1007/978-981-99-7569-3_19openalex-snapshot
Machine Learning for Increased Profits in the Cryptocurrency Market Through Pattern Recognition with Artificial Neural Networks
inferred← citeshttps://doi.org/10.1007/s10660-023-09801-6openalex-snapshot
Predicting the cryptocurrency market using social media metrics and search trends during COVID-19
inferred← citeshttps://doi.org/10.1007/s13198-025-02848-8openalex-snapshot
Sentiment-driven forecasting: enhancing cryptocurrency price prediction with biLSTM and DistilBERT
inferred← citeshttps://doi.org/10.1007/s13278-024-01350-6openalex-snapshot
Noise trader impact: Bitcoin market evidence from Telegram and X
inferred← citeshttps://doi.org/10.1007/s43546-022-00206-5openalex-snapshot
The dimension of popularity in the cryptocurrency market
inferred← citeshttps://doi.org/10.1016/j.econmod.2024.106882openalex-snapshot
Dutch auction dynamics in non-fungible token (NFT) markets
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120838openalex-snapshot
PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121012openalex-snapshot
Novel insights into the modeling financial time-series through machine learning methods: Evidence from the cryptocurrency market
inferred← citeshttps://doi.org/10.1016/j.gfj.2024.101029openalex-snapshot
Consumer confidence and cryptocurrency excess returns: A three-factor model
inferred← citeshttps://doi.org/10.1016/j.jfds.2021.03.001openalex-snapshot
Short-term bitcoin market prediction via machine learning
inferred← citeshttps://doi.org/10.1016/j.jisa.2020.102583openalex-snapshot
A Deep Learning-based Cryptocurrency Price Prediction Scheme for Financial Institutions
inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103139openalex-snapshot
Analysis of cryptocurrency transactions from a network perspective: An overview
inferred← citeshttps://doi.org/10.1038/s41598-026-46271-wopenalex-snapshot
A unified GRU model for cryptocurrency price prediction and harsh price movement detection using enhanced sentiment analysis
inferred← citeshttps://doi.org/10.1093/ooenergy/oiad012openalex-snapshot
Energy Demand Unawareness and the Popularity of Bitcoin: Evidence from Nigeria
inferred← citeshttps://doi.org/10.1108/cafr-05-2023-0053openalex-snapshot
A systematic literature review on the determinants of cryptocurrency pricing
inferred← citeshttps://doi.org/10.1108/ics-11-2023-0206openalex-snapshot
Getting users to click: a content analysis of phishers’ tactics and techniques in mobile instant messaging phishing
inferred← citeshttps://doi.org/10.1108/ijoem-10-2021-1522openalex-snapshot
Google Trends and cryptocurrencies: a nonparametric causality-in-quantiles analysis
inferred← citeshttps://doi.org/10.1109/access.2020.2990659openalex-snapshot
Stochastic Neural Networks for Cryptocurrency Price Prediction
inferred← citeshttps://doi.org/10.1109/access.2020.3025211openalex-snapshot
Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/access.2021.3133937openalex-snapshot
Improving the Cryptocurrency Price Prediction Performance Based on Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/access.2021.3135620openalex-snapshot
An On-Chain Analysis-Based Approach to Predict Ethereum Prices
inferred← citeshttps://doi.org/10.1109/access.2022.3187406openalex-snapshot
Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics
inferred← citeshttps://doi.org/10.1109/access.2023.3240103openalex-snapshot
On the Vital Aspects and Characteristics of Cryptocurrency—A Survey
inferred← citeshttps://doi.org/10.1109/access.2023.3324535openalex-snapshot
Hybrid LSTM and GRU for Cryptocurrency Price Forecasting Based on Social Network Sentiment Analysis Using FinBERT
inferred← citeshttps://doi.org/10.1109/access.2024.3417449openalex-snapshot
From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques
inferred← citeshttps://doi.org/10.1109/bcca50787.2020.9274454openalex-snapshot
Combining Blockchain and Machine Learning to Forecast Cryptocurrency Prices
inferred← citeshttps://doi.org/10.1109/blockchain.2019.00065openalex-snapshot
C2P2: A Collective Cryptocurrency Up/Down Price Prediction Engine
inferred← citeshttps://doi.org/10.1109/icbc51069.2021.9461061openalex-snapshot
Ether Price Prediction Using Advanced Deep Learning Models
inferred← citeshttps://doi.org/10.1109/icsc50631.2021.00055openalex-snapshot
Beyond Word Embeddings: Temporal Representations of Words using Google Trends
inferred← citeshttps://doi.org/10.1109/icspis56952.2022.10043940openalex-snapshot
Predicting Bitcoin Fluctuations Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/iisa56318.2022.9904351openalex-snapshot
Cryptocurrency Price Prediction using Social Media Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/isdfs60797.2024.10527330openalex-snapshot
Analyzing Cryptocurrency Social Media for Price Forecasting and Scam Detection
inferred← citeshttps://doi.org/10.1145/3654823.3654866openalex-snapshot
Explaining Cryptocurrency Price Trends: Statistical Analysis of Social Media Posts vs Market Prices
inferred← citeshttps://doi.org/10.1177/21582440251361212openalex-snapshot
Why Do Investors Behave Irrationally in the Cryptocurrency and Emerging Stock Markets?
inferred← citeshttps://doi.org/10.1186/s40854-020-00217-xopenalex-snapshot
Forecasting and trading cryptocurrencies with machine learning under changing market conditions
inferred← citeshttps://doi.org/10.1186/s40854-021-00321-6openalex-snapshot
Cryptocurrency trading: a comprehensive survey
inferred← citeshttps://doi.org/10.1186/s40854-023-00536-9openalex-snapshot
Whether and when did bitcoin sentiment matter for investors? Before and during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1186/s40854-024-00617-3openalex-snapshot
Feature selection with annealing for forecasting financial time series
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2826296/v1openalex-snapshot
15 years of research on Google Trends: A bibliometric review and future research directions
inferred← citeshttps://doi.org/10.2139/ssrn.4651734openalex-snapshot
Effect of Digital Marketing on the Cryptocurrency Market
inferred← citeshttps://doi.org/10.2139/ssrn.6562061openalex-snapshot
Crypto Exposure, Relevance, and Return Dynamics: Evidence from Textual Analysis
inferred← citeshttps://doi.org/10.25295/fsecon.1420143openalex-snapshot
The Examination of the Relationship Between Bitcoin (BTC) Trading Volume in Türkiye and Google Trends Data on Bitcoin Searches in Google Search Engine
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Machine Learning for Bitcoin Pricing — A Structured Literature Review
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Tâm lý thị trường, bất ổn kinh tế và biến động tiền mã hoá
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A Forecasting Approach to Cryptocurrency Price Index Using Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/math10091456openalex-snapshot
Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market
inferred← citeshttps://doi.org/10.4018/978-1-6684-8368-8.ch011openalex-snapshot
Trending Technologies in the Cryptocurrency Market
inferred← citeshttps://doi.org/10.4018/979-8-3373-0675-9.ch004openalex-snapshot
Artificial Intelligence and Crime Linked to Cryptocurrencies
inferred← citeshttps://doi.org/10.46632/rmc/5/2/8openalex-snapshot
AI Applications in Analysing and Predicting Cryptocurrency Market
inferred← citeshttps://doi.org/10.46932/sfjdv5n8-029openalex-snapshot
Aplicando técnicas de inteligencia artificial en el reconocimiento de patrones para gestión de inversiones en el mercado del Bitcoin
inferred← citeshttps://doi.org/10.47820/recima21.v7i5.7927openalex-snapshot
SISTEMA DE ANÁLISE DE CRIPTOMOEDAS EM TEMPO REAL PARA APOIO À DECISÃO DE INVESTIDORES
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Cryptocurrency Trading: A Comprehensive Survey
inferred← citeshttps://doi.org/10.58224/2500-3747-2024-5-157-165openalex-snapshot
Анализ эффективности использования квантифицированных факторов информационной среды для предсказания цены ведущего цифрового актива
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Une apprοche hοlistique des cryptοmοnnaies : Attractivité, Règlementatiοn et Ρrοtectiοn
inferred← citeshttps://doi.org/10.70675/981e2e84z56dfz401ez8fe1z72316d8b852bopenalex-snapshot
From text to numbers : Prediction of Financial Market Assets via NLP
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