Research
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.

168,657 papers · 148 categories

Trend · papers per month

1122 · Apr 202519922001200920172026
13 results for Pump-and-Dump

Detects and traces masterminds behind cryptocurrency pump-and-dump schemes.

problem Identifying and tracing the entities organizing cryptocurrency manipulation.
method Collects real-time data from social networks and cryptocurrency markets, constructs temporal attributed graphs, and uses GNN to identify masterminds.
result Achieves higher F1 scores and precision than state-of-the-art fraud detection methods, detects 438 masterminds.

While pump-and-dump schemes have attracted the attention of cryptocurrency observers and regulators alike, this paper represents the first detailed empirical query of pump-and-dump activities in cryptocurrency markets. We present a case study of a recent pump-and-dump event, investigate 412 pump-and-dump activities org…

2018-11-25abs ↗pdf ↗

Study improves detection of cryptocurrency pump-and-dump schemes.

problem Class imbalance in P&D detection due to rare events.
method Synthetic Minority Oversampling Technique (SMOTE) and ensemble learning models.
result XGBoost and LightGBM achieved high recall rates (94.87% and 93.59%) with strong F1-scores.

Study analyzes cryptocurrency pump-and-dump dynamics using minute-level data.

problem Identifying and quantifying insider trading in cryptocurrency markets.
method Algorithmic identification of insider volume spikes, conservative profit bounds calculation, social-media verification.
result Median returns above 100%, upper-quartile returns exceeding 2000% for insider profits.

Predicts cryptocurrency pump probability using sequence-based neural networks.

problem Detecting pump-and-dump schemes in cryptocurrency markets.
method Developed a sequence-based neural network (SNN) that encodes historical P&D events into sequences for prediction.
result SNN improves prediction accuracy by leveraging positional attention to extract useful information.

Model financial markets with social media influences using hierarchical networks.

problem Understanding social media's impact on financial markets.
method Agent-based model with hierarchical influence network.
result Model accurately simulates real-world financial market behaviors.

Interest surrounding cryptocurrencies, digital or virtual currencies that are used as a medium for financial transactions, has grown tremendously in recent years. The anonymity surrounding these currencies makes investors particularly susceptible to fraud---such as "pump and dump" scams---where the goal is to artificia…

2019-02-04abs ↗pdf ↗

Study reveals widespread manipulation of meme coins, leading to significant economic losses.

problem Widespread manipulation of meme coins leading to economic losses.
method Cross-chain analysis of 34,988 tokens across Ethereum, BNB Smart Chain, Solana, and Base.
result 82.8% of high-return tokens show evidence of artificial growth strategies.

HyPV-LEAD detects cryptocurrency anomalies proactively, improving financial security.

problem Cryptocurrency anomalies like mixing, fraud, and pump-and-dump operations are hard to detect due to class imbalance and temporal volatility.
method HyPV-LEAD integrates lead time into anomaly detection through window-horizon modeling, Peak-Valley sampling, and hyperbolic embedding.
result HyPV-LEAD achieves a PR-AUC of 0.9624 on Bitcoin transaction data, significantly outperforming state-of-the-art methods.