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Velodrome Finance: The Next Generation DeFi Platform
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Velodrome Finance is a decentralized finance (DeFi) ecosystem designed to provide efficient, scalable, and user-friendly liquidity and trading solutions. With features like Velodrome Crypto, Velodrome Exchange, and Velodrome Finance Swap, the platform aims to enhance liquidity provision and asset management within the DeFi space.

Velodrome Finance Overview
Velodrome Finance focuses on creating a robust DeFi environment that supports decentralized trading, liquidity pools, and yield farming. Its ecosystem is built to facilitate seamless asset swaps, liquidity provision, and staking, making it a comprehensive platform for DeFi enthusiasts.

Velodrome Crypto
Velodrome Crypto refers to the native tokens and digital assets within the Velodrome ecosystem. These tokens are used for governance, staking, liquidity incentives, and participation in various DeFi activities on the platform.

Velodrome Exchange
Velodrome Exchange is a decentralized trading platform that allows users to swap tokens directly from their wallets. It emphasizes low slippage, high liquidity, and fast transaction speeds, providing a smooth trading experience for DeFi users.

Velodrome Finance Swap
Velodrome Finance Swap is the core swapping protocol within the ecosystem, enabling users to exchange tokens across different pools efficiently. It leverages Velodrome’s liquidity pools to facilitate secure and cost-effective token swaps.

Velodrome Fi
Velodrome Fi encompasses the yield farming, staking, and liquidity mining features of the platform. Users can stake their tokens, earn rewards, and participate in governance, contributing to the growth and security of the Velodrome ecosystem.

Velodrome Finance Exchange
Velodrome Finance Exchange refers to the entire decentralized trading and liquidity platform, integrating swap, staking, and liquidity provision functionalities. It aims to be a comprehensive DeFi hub for traders and liquidity providers.

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1inch Exchange: The Leading DeFi Aggregator
1inch Exchange is a decentralized finance (DeFi) aggregator that sources liquidity from various decentralized exchanges (DEXs) to provide users with the best possible rates for token swaps. Its innovative approach optimizes trading efficiency, minimizes slippage, and enhances user experience across multiple blockchain networks.
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1inch Network
The 1inch network is a decentralized ecosystem comprising multiple components, including the 1inch DEX aggregator, liquidity protocols, and governance mechanisms. It operates across various blockchains, such as Ethereum, Binance Smart Chain, Polygon, and more, to facilitate seamless cross-chain trading and liquidity aggregation.

1inch Swap
1inch Swap is the core feature that allows users to exchange tokens directly from their wallets. It intelligently splits orders across multiple DEXs to find the most favorable rates, reducing costs and slippage. This feature is accessible via the 1inch interface or integrated into other DeFi platforms.

1inch Crypto
1inch crypto refers to the native token of the 1inch ecosystem, used for governance, staking, and incentivization. Holding and staking 1inch tokens grants users voting rights on protocol proposals and participation in liquidity mining programs.

1inch DEX
1inch DEX is the decentralized exchange aggregator that connects various liquidity sources to offer optimal trading routes. It enhances liquidity depth and price efficiency by intelligently routing trades across multiple DEXs.

1inch Token
The 1inch token (1INCH) is the governance token of the platform. It enables holders to participate in protocol governance, propose and vote on upgrades, and earn rewards through staking and liquidity mining programs.

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There’s a ‘ghost hurricane’ in the forecast. It could help predict a real one
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A scary-looking weather forecast showing a hurricane hitting the Gulf Coast in the second half of June swirled around social media this week—but don’t panic.

It’s the season’s first “ghost hurricane.”

Similar hype plays out every hurricane season, especially at the beginning: A cherry-picked, worst-case-scenario model run goes viral, but more often than not, will never come to fruition.

Unofficially dubbed “ghost storms” or “ghost hurricanes,” these tropical systems regularly appear in weather models — computer simulations that help meteorologists forecast future conditions — but never seem to manifest in real life.

The model responsible this week was the Global Forecast System, also known as the GFS or American model, run by the National Oceanic and Atmospheric Administration. It’s one of many used by forecasters around the world.

All models have known biases or “quirks” where they tend to overpredict or underpredict certain things. The GFS is known to overpredict tropical storms and hurricanes in longer-term forecasts that look more than a week into the future, which leads to these false alarms. The GFS isn’t alone in this — all models struggle to accurately predict tropical activity that far in advance — but it is notorious for doing so.

For example, the GFS could spit out a prediction for a US hurricane landfall about 10 days from now, only to have that chance completely disappear as the forecast date draws closer. This can occur at any time of the year, but is most frequent during hurricane season — June through November.

It’s exactly what’s been happening over the past week as forecasters keep an eye out for the first storm of the 2025 Atlantic hurricane season.
Why so many ghosts?
No weather forecast model is designed in the exact same way as another, and that’s why each can generate different results with similar data.

The reason the GFS has more false alarms when looking more than a week out than similar models – like Europe’s ECMWF, Canada’s CMC or the United Kingdom’s UKM – is because that’s exactly what it’s programmed to do, according to Alicia Bentley, the global verification project lead of NOAA’s Environmental Modeling Center.

The GFS was built with a “weak parameterized cumulus convection scheme,” according to Bentley. In plain language, that means when the GFS thinks there could be thunderstorms developing in an area where tropical systems are possible – over the oceans – it’s more likely to jump to the conclusion that something tropical will develop than to ignore it.

Other models aren’t built to be quite as sensitive to this phenomenon, and so they don’t show a tropical system until they’re more confident the right conditions are in place, which usually happens when the forecast gets closer in time.

The western Caribbean Sea is one of the GFS’ favorite places to predict a ghost storm. That’s because of the Central American gyre: a large, disorganized area of showers and thunderstorms that rotates over the region and its surrounding water.