Trading Strategy: Buy low, sell high

By Trading Strategy

Algorithmic trading protocol for decentralised markets. Automated and non-custodial trading execution directly on-chain across DEXs and DeFi.

Algorithmic trading protocol for decentralised markets. Automated and non-custodial trading execution directly on-chain across DEXs and DeFi.

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12

issues

#12・

How can you prevent hacks and create a more secure blockchain ecosystem?

For more information visit tradingstrategy.ai/Join our community on Discord here.

 
#11・

Here's How to Effectively Use Stablecoins for Your Business

For more information visit tradingstrategy.ai/Join our community on Discord here.

 
#10・

What Is the Difference Between Token Tax and Transfer Fees?

Trading Strategy at Blockworks Permissionless 2022We were thrilled to attend Blockworks' Permissionless in Florida this week. It was a pleasure connecting with our community and expanding our network. Some very exciting talks with traders, developers and pote…

 
#9・

Capturing Web3 and crypto data

Mikko Ohtamaa will have a developer-focused presentation Capturing Web3/Crypto Data in Timescale Live. You can watch this event in a live stream. Timescale Live is always available virtual tech talks for developers building data-intensive applications. Attila…

 
#8・

In-house research: Why the world's most efficient market is decentralised

Read our research: The world's most efficient market is decentralised and runs on a blockchainBlockchain technology delivers innovation. The essence of this innovation is often lost in public discussion - arguments focus on the negative perception of blockcha…

 
#7・

Fastest token search in the world and upcoming Avalanche Summit

Our engineers have just released a new blazingly fast DEX, token and trading pair search feature that allows you to research through on-chain trading opportunities. Read our blog post below about developing this feature; we are going to publish some tutorials…

 
#6・

Building quant trading infrastructure with TimescaleDB

The Trading Strategy co-founder Mikko Ohtamaa and Lucie Šimečková from TimescaleDB co-authored a post on how to use TimescaleDB for crypto quant trading infrastructure. Trading Strategy is more than 700,000 trading, while NASDAQ has 3,000. This sets some spec…

 
#5・

Watch Trading Strategy and Harmony founder interview on YouTube

The Trading Strategy team participated in EthLisbon, an Ethereum hackathon in Lisbon. The amazing Harmony blockchain team was present and doing interviews on the spot. In this interview, Harmony founder Stephen Tse and Mikko Ohtamaa discuss hackathons, maturi…

 
#4・

Meet Trading Strategy in virtual E-2 summit Jan 24th

Trading Strategy team will participate in the virtual panel discussions at the conference about next-generation asset management. Get your free tickets.Also, we have released a new backtesting client version plus an example for momentum trading.

 
#3・

New technical chart type for liquidity analysis

This week we announced the support for OHLC liquidity charts. We have been working on a new technical analysis chart type for making it easier to study liquidity formation on decentralised exchanges. Unlike a simplified liquidity chart, one can follow the in …

 
#2・

Building a blockchain market data service with Svelte and Python

Welcome to the second edition of the Trading Strategy newsletter. As we are ramping up our software development activities, our team has started to reach out to the relevant developer communities. Please read our one-year post-mortem blog post on what it take…

 
#1・

Trading Strategy Python client 0.3 released

Trading Strategy protocol Python client is a Jupyter Notebook library for researching and executing algorithmic trading on decentralised exchanges. It is aimed at quantitative finance researches working on blockchains and decentralised finance (DeFi).The rele…