metadata

license: cc
language:
  - en
pretty_name: financial-signal
size_categories:
  - 10K<n<100K
task_categories:
  - text-classification
  - time-series-forecasting
tags:
  - finance
  - trading
  - signals
  - forex
  - stocks
  - gold
  - cryptocurrency
  - telegram
  - technical-analysis

Financial Trading Signals Sentiment Dataset

Overview

This dataset contains 4,664 trading signals extracted from Telegram group chats, focused on financial instruments such as Forex pairs, commodities (Gold, Silver), stocks, and indices. Each signal is labeled with a sentiment value for use in financial sentiment analysis and machine learning applications.

Data Description

Each record represents a trading signal and includes fields for symbol, sentiment (both text and integer), action, entry price, target, stop loss, time frame, original text, photo filename, and timestamp. Sentiment is mapped as follows:

0: Neutral
1: Bullish
2: Bearish

Dataset Structure

symbol: Trading pair/instrument (e.g., "EURUSD", "GOLD", "GBPUSD")
sentiment: Market sentiment ("Bullish", "Bearish", "Neutral")
sentiment_int: Sentiment as integer (0=neutral, 1=bullish, 2=bearish)
action: Trading action ("BUY", "SELL")
entry_price: Entry price level
target: Target price level
stop_loss: Stop loss price level
time_frame: Trading timeframe (e.g., "1H", "4H", "12H")
text: Original signal text from Telegram
photo: Associated chart image filename
timestamp: Signal timestamp

Dataset Size

Total Signals: 4,664
Bullish Sentiments: 2,026
Bearish Sentiments: 2,298
Neutral Sentiments: (calculated from sentiment_int == 0)

Usage

This dataset is ideal for training and evaluating machine learning models for financial sentiment analysis, market trend prediction, and NLP tasks related to trading signals. It can be used for academic research, financial analytics, and developing AI tools for financial institutions.

License

This dataset is made available under the MIT license.

Citation

If you use this dataset in your research, please cite:

@dataset{telegram_financial_signals_2025,
  title={Financial Trading Signals Sentiment Dataset},
  author={JonusNattapong},
  year={2025},
  url={https://github.com/JonusNattapong/Telegram-Group-Financial}
}