Analysis: How fast does BTC actually react to breaking news? (Mapped 6 months of headlines to 1m price action)

Hey everyone,

We all know crypto is heavily narrative-driven, but I wanted to see the *exact* math on how fast the market absorbs breaking news.

I spent the last few weeks building a scraper and mapped about 5,000 CoinDesk headlines directly to Binance 1-minute BTC/USDT candles to measure the volatility latency.

**Here are a couple of quick takeaways:**

* **The 5-Minute Window:** The highest volatility happens almost instantly. If you are entering a trade based on news 5 minutes *after* it drops, you are mostly just providing exit liquidity for the bots.
* **High Noise Ratio:** A lot of news is already priced in or simply ignored. Only a small fraction of events actually trigger a solid >1% move within the first hour.

I’ve put together a free 1-month demo dataset and a Python EDA notebook showing exactly how I calculated the highest-impact triggers. It just hit a 10.0 Usability score on Kaggle if any data-minded traders want to play around with it.

**Data & Code (Kaggle):** [https://www.kaggle.com/datasets/yevheniipylypchuk/bitcoin-news-vs-1m-btc-price-action-2025-26](https://www.kaggle.com/datasets/yevheniipylypchuk/bitcoin-news-vs-1m-btc-price-action-2025-26)

Curious to hear from manual traders here: do you still try to trade the news manually, or is it strictly a bot's game now?