AI Forex Sentiment Bot Development
Budget: €250 – €750 EUR
I'm looking for an AI bot that specializes in market sentiment analysis for the forex market. The bot should analyze news articles, financial reports, and technical indicators to generate sentiment scores.
Key Requirements:
- Market sentiment analysis capabilities
- Data sourcing from news articles, financial reports, and technical indicators
- Ability to provide sentiment scores
Ideal Skills and Experience:
- Expertise in AI and machine learning
- Strong background in forex markets
- Experience with financial data analysis and sentiment extraction
- Proficiency in natural language processing (NLP)
THE THREE-LAYER BIAS SYSTEM
1. Technical Bias (Chart Structure + Trend)
This is your market structure bias:
Trend direction (bullish, bearish, ranging)
Key breakouts or reversals (e.g., is gold breaking out of a wedge?)
Moving average alignment (200/50/20 EMAs)
Momentum (RSI extremes, MACD crosses)
Data sources & methods:
Use a charting API (like TradingView or Finnhub) to pull candle data
Use Python (or TA-Lib) to calculate trend direction and key break levels
Feed price action summary into ChatGPT to generate a technical narrative
Output:
"Gold has held above the 50 EMA on H4 for 3 days. RSI is neutral. Currently in a slow bullish channel — slight bullish technical bias."
2. Fundamental Bias (News & Macroeconomics)
This includes:
Today’s high-impact events (from Forex Factory, Investing.com, TradingEconomics)
Sentiment changes (e.g., “Fed more hawkish than expected”)
Unexpected geopolitical risks (e.g., Middle East tensions, Trump speaks, elections)
How to extract it:
Scrape the economic calendar + headline summaries
Pull live Twitter/X feeds or macro news APIs (NewsAPI.org or Bing News Search)
Feed these as raw inputs into GPT and prompt it like this:
“Based on today’s economic calendar and macro news headlines, what is the likely market sentiment for gold and USD? Summarize in 2–3 sentences and rate volatility high/med/low.”
Output:
“With both Non-Farm Payrolls and Powell’s unscheduled press briefing today, volatility will likely spike. USD could see sharp intraday moves.”
3. Live Events & Unpredictables (AI-enhanced Situational Awareness)
Here’s the edge no one else is doing:
Monitor Twitter/X feeds for names like Trump, Powell, ECB, BOE, etc.
Use GPT to filter those tweets into sentiment-impacting alerts
Watch for:
Off-calendar speeches
Breaking news
Natural disasters or political risk
How we can do it:
Use an X API (or a Zapier feed via RSS)
Feed 10 latest tweets from relevant accounts into GPT
Ask it to detect any major market-moving implications
Output:
“Donald Trump scheduled for a major policy announcement tonight. May increase risk aversion in U.S. markets.”
Final Output Summary (Daily Telegram Report)
We combine the 3 layers into one bias matrix:
Daily Market Bias – Aug 2
Technical Bias: Slightly Bullish (Gold holding above key EMAs, upward channel intact)
Fundamental Bias: Volatile Day (NFP + Powell speech) Situational Risk: Medium (Geopolitical tension rising in Ukraine, Trump tweet spiked USD)
Recommendation: Avoid grid trading today due to intraday spikes and event risk. Reassess tomorrow.
Key Requirements:
- Market sentiment analysis capabilities
- Data sourcing from news articles, financial reports, and technical indicators
- Ability to provide sentiment scores
Ideal Skills and Experience:
- Expertise in AI and machine learning
- Strong background in forex markets
- Experience with financial data analysis and sentiment extraction
- Proficiency in natural language processing (NLP)
THE THREE-LAYER BIAS SYSTEM
1. Technical Bias (Chart Structure + Trend)
This is your market structure bias:
Trend direction (bullish, bearish, ranging)
Key breakouts or reversals (e.g., is gold breaking out of a wedge?)
Moving average alignment (200/50/20 EMAs)
Momentum (RSI extremes, MACD crosses)
Data sources & methods:
Use a charting API (like TradingView or Finnhub) to pull candle data
Use Python (or TA-Lib) to calculate trend direction and key break levels
Feed price action summary into ChatGPT to generate a technical narrative
Output:
"Gold has held above the 50 EMA on H4 for 3 days. RSI is neutral. Currently in a slow bullish channel — slight bullish technical bias."
2. Fundamental Bias (News & Macroeconomics)
This includes:
Today’s high-impact events (from Forex Factory, Investing.com, TradingEconomics)
Sentiment changes (e.g., “Fed more hawkish than expected”)
Unexpected geopolitical risks (e.g., Middle East tensions, Trump speaks, elections)
How to extract it:
Scrape the economic calendar + headline summaries
Pull live Twitter/X feeds or macro news APIs (NewsAPI.org or Bing News Search)
Feed these as raw inputs into GPT and prompt it like this:
“Based on today’s economic calendar and macro news headlines, what is the likely market sentiment for gold and USD? Summarize in 2–3 sentences and rate volatility high/med/low.”
Output:
“With both Non-Farm Payrolls and Powell’s unscheduled press briefing today, volatility will likely spike. USD could see sharp intraday moves.”
3. Live Events & Unpredictables (AI-enhanced Situational Awareness)
Here’s the edge no one else is doing:
Monitor Twitter/X feeds for names like Trump, Powell, ECB, BOE, etc.
Use GPT to filter those tweets into sentiment-impacting alerts
Watch for:
Off-calendar speeches
Breaking news
Natural disasters or political risk
How we can do it:
Use an X API (or a Zapier feed via RSS)
Feed 10 latest tweets from relevant accounts into GPT
Ask it to detect any major market-moving implications
Output:
“Donald Trump scheduled for a major policy announcement tonight. May increase risk aversion in U.S. markets.”
Final Output Summary (Daily Telegram Report)
We combine the 3 layers into one bias matrix:
Daily Market Bias – Aug 2
Technical Bias: Slightly Bullish (Gold holding above key EMAs, upward channel intact)
Fundamental Bias: Volatile Day (NFP + Powell speech) Situational Risk: Medium (Geopolitical tension rising in Ukraine, Trump tweet spiked USD)
Recommendation: Avoid grid trading today due to intraday spikes and event risk. Reassess tomorrow.