MGPraxis6,400 papers identified by name

Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting

Hamid Moradi-Kamali, Mohammad-Hossein Rajabi-Ghozlou, Mahdi Ghazavi, Ali Soltani, Amirreza Sattarzadeh, Reza Entezari‐Maleki·2025

“A domain-specific language model was fine-tuned on these labels, achieving up to an 11% improvement in short-term trend prediction accuracy over traditional sentiment-based benchmarks.”

AssetCryptospot crypto
StrategyNews sentiment
TechniqueLarge language model
FrequencyDaily

Also stated: Sharpe ratio, Excess return, Price and volume, Text and news

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

Institutional-grade audit of this strategy.
£5 — Request the audit
  • Audit of the paper claims accounting for costs, luck, crises, originality, geography, etc.
  • Reproduction code integratable into Bloomberg, IBKR, etc.
  • Bias-free datasets for backtesting included
  • Delivered in 2 working days
The paper's neighbourhoodNews sentiment and text signals by year
■ crypto■ equities■ commodities■ currencies■ other assets20102015202030This paper2025■ crypto■ equities■ commodities■ currencies■ other assets20102015202030This paper2025
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
More Strategies, Same Zero: Multiple Testing Against LLM-Scale Alpha Search by Mehndiratta2026
From Hypotheses to Portfolios: NeuraQuant for Auditable Crypto-Alpha Discovery with Large Language Model by Zheng and Wang2026
Large Language Models and Generative Factor Discovery in Crypto Markets by Sun et al.2026
EVOQUANT: Self-Evolving Verifier-Guided Strategy Optimization for Robust Quantitative Trading by Mao et al.2026
MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models by Kvasiuk et al.2026
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts