Next generation
algorithmic trading protocol
for decentralised markets
Market data and trading strategy framework
for 1,406,289 trading pairs providing $4.46B liquidity
across 3 blockchains
Top trades
Most profitable 24h
- JST-BNB on PancakeSwap v2 225.0%
- FLX-ETH on Uniswap v2 23.4%
- SQUIDGROW-BNB on PancakeSwap v2 17.5%
- DRIP-BUSD on PancakeSwap v2 14.1%
- GLM-ETH on Uniswap v2 11.7%
Worst performance 24h
- GHNY-BNB on PancakeSwap v2 22.0%
- SHINJA-ETH on Uniswap v2 17.5%
- GXY-USDT on PancakeSwap v2 16.8%
- GST-USDC on Unknown 16.2%
- RVLT-ETH on Quickswap 16.1%
Strategies
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Automated Market Makers (AMM) vs Order Book Model DEXs
We take a look at how DEXs operate and why they have seen enormous growth over the past few years, specifically looking at two types of DEX models.
Open positions: Python SQLAlchemy and Pandas developers
Trading Strategy is hiring Python developers for our algorithmic trading protocol for decentralised markets.
Decentralised Exchanges (DEX) vs Centralised Exchanges (CEX)
How do CEXs stack up against DEXs? We take a deep dive into the pros and cons of these cryptocurrency exchange options to help you identify what type of exchange suits you best, and if you’re getting the best out of your current choice.
Algorithmic Trading vs Manual Trading
Which is better? We take a dive into the benefits and limitations of using two types of trading methods - algorithmic and manual trading