Top Tracked Events
View allHow It Works
Signal Aggregation
We combine data from prediction markets, verified media, and carefully curated rumors on the crypto ecosystem.
Probability Calculation
Our algorithms weigh each source by their relevance to the event and their historical accuracy to create the most likely outcomes for each event.
Continuous Validation
We constantly evaluate our model's accuracy and adjust how it weighs each source based on past events and their resolutions.
Coverage Domains
Tech
L2 launches, ETFs, chain updates, and technical developments in the ecosystem.
Event Examples
- Arbitrum Nova launch
- Bitcoin spot ETF approval
- Ethereum Shanghai upgrade
Coverage Level
High level of coverage with solid technical signals
Geopolitics
International events that affect the ecosystem, like government regulations, exchange sanctions, and tensions between countries.
Event Examples
- Russian exchange sanctions
- Taiwan/China tensions
- European MiCA regulation
Coverage Level
Medium level of coverage with high uncertainty due to politics
Interest Rates
Central bank monetary policy decisions that affect crypto markets.
Event Examples
- September Fed meetings
- ECB decisions
- BoJ monetary policy
Coverage Level
Very high precision, robust historical data
Technical Failures
Possible DeFi exploits, failed forks, and protocol vulnerabilities.
Event Examples
- Curve Finance exploit
- Failed Ethereum fork
- Multichain bridge hack
Coverage Level
Low coverage, unpredictable events
Black Swans
Very low probability but high systemic impact events.
Event Examples
- Global Binance ban
- Massive Tether hack
- Major stablecoin default
Coverage Level
Very low precision, inherently unpredictable
Our Signal Sources
Markets
- Polymarket, Kalshi
- BTC/ETH funding rates
- Options skew
- On-chain volume
Verified Media
- Reuters, Financial Times
- Coindesk, CoinTelegraph
- Official announcements
- Fact-checked analysis
Rumors
- Reddit (r/ethereum, r/defi)
- Verified crypto Twitter accounts
- Curated Telegram Groups
- Selected Zerohedge
Farseer's Limitations
No Predictions Outside Crypto
We do not cover events that are unrelated to the crypto ecosystem (e.g. sports, entertainment, political news that doesn't involve financial regulations etc.)
Variable Uncertainty
Black swans inherently have higher uncertainty. Low calibration in this category is expected for extremely rare events.
Source Dependency
The quality of our predictions depends on the availability and accuracy of external sources. Completely new events may have lower initial coverage.