What is an Exponential Moving Average (EMA) Trading Strategy?
An exponential moving average (EMA) is a popular technical analysis tool that traders use to identify trends and make informed trading decisions. We explore the concept of EMA and how it can be used in a trading strategy to help maximise returns and minimise risks in the financial markets.
The state of Python in blockchain - 2023 report
An overview of Python programming language technologies in blockchain software development ecosystems in 2023.
The desolated forests of DeFi - incentivising non-existing users with money
Can airdrops, liquidity mining and other DeFi tricks boost sustainable growth?
Should you use a public or private trading strategy?
In the world of algorithmic trading bots and platforms, the terminology public and private trading strategy is frequently used. We take a look at the different properties of these types of strategies and help you decide which best suits your trading needs.
What is Quantitative Analysis?
Quantitative analysis is often used to make decisions and predictions in a variety of fields, including finance, business, and economics. We take a closer look at what quantitative analysis is, how it's used, and some of the tools and techniques that are commonly employed.
Slippage and Price Impact Explained
We discuss the concepts of slippage and price impact. These are important topics to understand for anyone trading financial instruments, such as stocks and crypto. Both slippage and price impact are important to consider when trading, as they can affect the costs and potential returns of a trade.
What is Backtesting?
How familiar are you with backtesting? If you're in the world of finance and investing, chances are you have heard about it. But for those who are new to the game, backtesting might seem like a mysterious and confusing concept. So, what exactly is it?
Algosm: Algorithmic trading protocol for Osmosis
The Algosm hackathon team consisting of Mikko Ohtamaa (CEO & Co-founder, Trading Strategy) and Mike Purvis (ex-NEAR Protocol) participated in HackAtom Seoul 2022, sponsored by Osmosis. Let’s take a look at the project and how it fits within the DeFi ecosystem.
PyChain by Trading Strategy on Tuesday, November 15th
We are excited to announce PyChain 2022, an online blockchain and automated trading development.
How to Beat The Bear Market with Algorithmic Trading
We take you through how you leverage algorithmic trading to beat the bear market and expand your knowledge of trading strategy concepts, to help you avoid sitting around panicking on when to sell, but instead capitalise on a market full of opportunity.
How to securely create Cosmos/Osmosis wallet private keys
In this post, we explain how to create a private key for Cosmos wallets. The use cases include programmers or advanced blockchain and DeFi users.
Remote Jupyter Notebook development with PyCharm
How to develop heavy Jupyter Notebooks using the Remote development feature of PyCharm.
Meetup Recap: Algorithmic Trading, Stablecoins, Advanced Blockchain Designs and more…
We were joined by a full capacity crowd of DeFi and Web3 enthusiasts, where we heard from experts that covered topics such as; trading, algorithmic trading, stablecoins, crypto economics, blockchain infrastructure and dApps.
Open positions: Devops and Linux admin
Trading Strategy is hiring DevOps engineers for our algorithmic trading protocol for decentralised markets.
Stop loss orders for automated trading strategies on DEXes
We have added a built-in stop loss order support to the Trading Strategy execution engine.
Trading Strategy To Host Gibraltar's First Ever DeFi Meetup
The Trading Strategy team will be hosting Gibraltar's first even DeFi meetup on September 23 at the Damex office in Ocean Plaza, Ocean Village, Gibraltar.
Get to know Trading Strategy: Here are your Frequently Asked Questions (FAQ)
Whether you're a trader, developer, quant or anything in between, our next generation algorithmic trading protocol will take your trading to the next level. We've collated your frequently asked questions to help you take the next steps to access algorithmic trading for decentralised markets.
A look into the world's most comprehensive market data sets for decentralised markets
As a trader or developer your focus is on developing a profitable strategy, not spending time sourcing, cleaning and standardising data for analysis and backtesting. It is vital for anyone looking to create an algorithmic trading strategy to have accurate and reliable market data.
We’ve Refreshed Our Brand!
You might have noticed that we recently gave our brand a face lift. We’re excited to unveil and showcase our new look to you!
What is algorithmic trading?
Algorithmic trading (also known as automated or algo trading) is a method of trading where an individual uses a computer program (an algorithm) that has predefined rules and instructions to place a trade on an exchange.
New API endpoints for DEX OHLCV candle data
We have released new API endpoints for the decentralised exchange candle data making it easier to develop algorithmic trading strategies.
Algorithmic trading strategies for blockchain using Python
How to get started with algorithmic trading for Python - a tutorial presentation from the Bangkok Python meetup.
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
A new trading strategy framework for decentralised exchanges
The Trading Strategy protocol has created new Python-based trade and algorithmic strategy execution framework for decentralised exchanges.
Meet Trading Strategy at IVS Crypto 2022 Conference in Japan
Trading Strategy will be attending the largest global crypto conference in Japan, IVS Crypto 2022 in Naha, Okinawa. IVS Crypto is kicking off Japan Blockchain week on July 6-8 and is held by Infinity Venture Crypto (IVC) and IVS, the largest C-level Japanese startup conference.
Trading Strategy Brings to Life its Extensive DEX Market Data by Leveraging ChartIQ for its Customers
Charts are a technical trader’s portal to the markets and essential for algorithmic trading. We will take you through how we created a best-in-class charting solution that enables you to make the most informed technical analysis and trade executions
Uniswap price and liquidity research with Jupyter and Python
Trading Strategy has published its first data research notebooks for Uniswap price and liquidity analysis.
Keeping Blockchain Applications Secure - A Pathway to Sustainable Security
Trading Strategy CEO & Co-founder, Mikko Ohtamma sits down with an expert blockchain security panel at this year's Paris Blockchain Week Summit to moderate a discussion on how we can keep a more secure future for blockchain applications
The cost-efficiency of stablecoins for international small businesses
Stablecoins work well for international business transactions and startup treasury management. Here we show how Trading Strategy is using stablecoins and how we are able to enjoy near-zero transaction costs.
Transfer fees, token taxes and honeypots
Learn about token tax and transfer fee features that apply to ERC-20 tokens, how they are beneficial for the token governance and what kind of gotchas there can be.
Meet Trading Strategy at Blockworks' Permissionless May 17-19
Trading Strategy will be attending Blockworks' Permissionless Event on May 17 - 19 in Palm Beach, Florida. Permissionless is a three-day conference & expo that focuses on crypto, Web3, innovative new tech and experiences.
Trading Strategy at Timescale Live
Mikko Ohtamaa will have a developer-focused presentation Capturing Web3/Crypto Data on Thursday 21st April, at 4 pm UTC.
Meet Trading Strategy in Paris Blockchain Week
Trading Strategy CEO, Mikko Ohtamaa, will moderate the panel discussion "Keeping blockchain applications secure - a pathway to sustainable security" at 9:40 on April 14th.
The world's most efficient market is decentralised and runs on a blockchain
In this post, we examine where and why blockchains are presenting unbeatable competition to traditional financial services. As an example. Uniswap DEX offers 20x lower cost to consumers than a traditional finance service.
Building the world's fastest token and decentralised exchange search
In this blog post, our engineers discuss how we delivered the world's fastest token search using Typesense and SvelteKit open source technologies.
Meet Trading Strategy at Avalanche Summit Barcelona
Trading Strategy will be present at Avalanche Summit in Barcelona March 22th - 27th. Avalanche Summit is a conference for developers, researchers, and makers building on Avalanche.
Trading Strategy Python client version 0.5
Trading Strategy protocol Python client is a Jupyter Notebook library for researching and executing algorithmic trading on decentralised exchanges.