How Our Bots Analyze Sentiment from News and Founders’ Statements
In today’s market, numbers alone don’t move prices — narratives do.
A single tweet, a regulatory comment, or a founder’s statement can spark massive price moves. The challenge? These signals are unstructured, emotional, and often unpredictable.
At FELOS LIMITED, our Sentiment Mode trading bots are built to handle exactly that. Using advanced natural language processing (NLP), real-time monitoring, and historical correlation models, our AI doesn't just read the news — it understands it.
💬 What Is Sentiment in Trading?
Sentiment refers to the emotional tone behind market-moving content:
Is a tweet bullish or bearish?
Is a regulator warning or supporting?
Is a founder hyping a project — or distancing themselves?
While traditional indicators focus on price and volume, sentiment looks at meaning and reaction.
🧠How Sentiment Mode Works
Our Sentiment Mode is a multi-layered system built for speed, accuracy, and adaptability. Here's how it operates:
1. Real-Time Data Collection
We continuously scrape data from:
Twitter/X (influencers, founders, CEOs)
Official exchange and platform statements
Regulator bulletins (e.g., SEC, FCA)
Crypto media (CoinDesk, The Block, etc.)
Reddit, Telegram, and other sentiment-heavy communities
This stream is processed 24/7 with ultra-low latency.
2. NLP-Based Sentiment Analysis
Using natural language processing (NLP), our bots:
Identify subjectivity, intensity, and polarity
Detect sarcasm, urgency, hype, or fear
Extract key entities (coins, platforms, people)
Score content across a 0–100 sentiment spectrum
For example:
“We’re under investigation†→ -89
“Burning 50% of total supply tomorrow 🚀†→ +93
“Team will step down after Q4†→ -75
3. Cross-Validation with Market Data
Sentiment scores are not used in isolation. The bots:
Check if price and volume are reacting accordingly
Validate against order book imbalances
Correlate with historical patterns (e.g. "Binance delisting" → typical reaction window of 8–24 hrs)
This makes the reaction smarter, not just faster.
4. Execution with Precision
Once a sentiment event is confirmed, the bot may:
Enter a trade preemptively
Hedge exposure
Switch from one mode to another (e.g., Sentiment → Momentum)
In extreme cases (black swan tweets, hacks, bans), it can even shut down positions instantly to avoid exposure.
🧩 The Human Factor — Quantified
Markets are emotional, irrational, and deeply human. By turning human behavior into structured data, our bots can trade not just the chart, but the context behind the chart.
This is how we catch moves before the candle forms.
🎯 Why It Matters
In modern markets, information moves faster than money.
If your trading system doesn’t understand narrative shifts, influencer dynamics, or regulatory tone — it’s already outdated.
At FELOS LIMITED, our Sentiment Mode makes sure we're never caught off guard by what people say — or how the market will likely react to it.