On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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5 results for “hashrate”

Mean Field Game Approach to Bitcoin Miningecon.TH

Study uses Mean Field Game to analyze Bitcoin mining hashpower dynamics.

problem Analyzing the hashpower distribution in Bitcoin mining.

method Mean Field Game framework and master equation approach.

result Hashpower reaches steady state or increases with demand.

Bitcoin mining Mean Field Game Proof-of-Work hashrate stochastic settings

2020-04-17abs ↗pdf ↗

Multi-Factor Inception: What to Do with All of These Features?q-fin.TR

MFIN networks improve crypto trading with multiple features.

problem Selecting and processing multiple features for effective trading.

method End-to-end framework using Multi-Factor Inception Networks (MFINs).

result MFINs learn uncorrelated, higher-Sharpe strategies not captured by traditional factors.

cryptocurrency trading deep learning feature selection Sharpe ratio multi-factor

2023-07-25abs ↗pdf ↗

Forecasting of Bitcoin Prices Using Hashrate Features: Wavelet and Deep Stacking Approachq-fin.ST

This research predicts Bitcoin prices using wavelet and deep stacking approach.

problem Predicting price fluctuations of Bitcoin due to its price volatility.

method Wavelet for noise removal, deep learning models (neural networks and transformers), feature selection.

result The model achieved high accuracy in predicting Bitcoin prices at different time intervals.

Bitcoin Price prediction Wavelet Deep learning Neural networks

2025-01-22abs ↗pdf ↗

The Endogenous Constraint: Hysteresis, Stagflation, and the Structural Inhibition of Monetary Velocity in the Bitcoin Network (2016-2025)q-fin.ST

Bitcoin's monetary velocity is constrained by network friction, leading to significant utility contraction during shocks.

problem Bitcoin's monetary velocity is limited by network congestion, causing significant utility loss during economic shocks.

method Empirical analysis using Transaction Cost Index and threshold regression to identify structural breaks and velocity contraction.

result Network friction significantly reduces Bitcoin's monetary velocity, leading to a net utility contraction of -9.39% during shocks.

Bitcoin Monetary Velocity Network Friction Stagflation Hysteresis

2025-11-30abs ↗pdf ↗

Optical Proof of Workcs.CR

Most cryptocurrencies rely on Proof-of-Work (PoW) "mining" for resistance to Sybil and double-spending attacks, as well as a mechanism for currency issuance. Hashcash PoW has successfully secured the Bitcoin network since its inception, however, as the network has expanded to take on additional value storage and transa…

2019-11-12abs ↗pdf ↗