fintech
Datasets
All datasets matching “fintech”omnimcp_fintech_crypto_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_fintech_crypto_teaser.omnimcp_fintech_trading_village_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_fintech_trading_village_teaser.statarb-crypto-dex
Stat-Arb Crypto DEX Dataset
Periodic DEX pool snapshots, cross-DEX spread signals, execution quotes, gas fees, and perp funding for volatile crypto assets. Companion to the CEX dataset SFU-fintech-AI/statarb-crypto-research for cross-venue spread analysis.
Runs
Run
Duration
Snapshots
Source
Pool (20260626_105517)
96h @ 60s
5,760
DexScreener
Depth (20260626_110951)
~78h @ 60s
4,682
Jupiter lite, Paraswap, RPCs, Hyperliquid
Files… See the full description on the dataset page: https://huggingface.co/datasets/SFU-fintech-AI/statarb-crypto-dex.gretel-text-to-python-fintech-en-v1
Gretel Synthetic Text-to-Python Dataset for FinTech
This dataset is a synthetically generated collection of natural language prompts paired with their corresponding Python code snippets, specifically tailored for the FinTech industry.
Created using Gretel Navigator's Data Designer, with mistral-nemo-2407 and Qwen/Qwen2.5-Coder-7B as the backend models, it aims to bridge the gap between natural language inputs and high-quality Python code, empowering professionals to implement… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/gretel-text-to-python-fintech-en-v1.adaption-behavioral-finance-fintech
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-behavioral_finance_fintech
This instruction-response dataset covers behavioral finance dynamics within mobile money and digital banking platforms. It features user scenarios and analytical queries examining psychological biases, interface nudges, framing effects, and automated fintech features. The completions provide evidence-based explanations connecting economic theory to digital… See the full description on the dataset page: https://huggingface.co/datasets/smainye/adaption-behavioral-finance-fintech.agentic_fintech
Agentic FinTech — Security & Reliability Gaps in RL-based Systems
Dataset Summary
A domain-knowledge instruction-tuning dataset built from 60 peer-reviewed academic papers on security and reliability challenges in reinforcement-learning-based agentic financial systems. Designed for fine-tuning instruction-following LLMs (e.g. meta-llama/Llama-3.2-1B-Instruct) to answer expert-level questions about RL agents, LLM-based trading systems, adversarial threats, and regulatory… See the full description on the dataset page: https://huggingface.co/datasets/WaliyaKhan882/agentic_fintech.