Why You Should Use A Monte Carlo Simulation for Backtesting
We explore why the Monte Carlo simulation is a powerful tool for backtesting and how it can be used to help you determine the true performance of your algorithmic trading strategy.
How profitable is algorithmic trading for decentralised markets?
Will algorithmic strategies consistently outperform index funds, buy and hold, and nearly risk free lending services? If yes/no, what is their risk profile and potential losses?
DeFi volume reaches all-time high in the USDC depeg event
Decentralised exchanges and other finance protocols reached their all-time high volume on Saturday. The volume peak was due to the USDC stablecoin depegging its US Dollar exchange rate.
Insights into the Relationship Between Python Developers and Blockchain
Last year we hosted the inaugural pythonic-blockchain event, PyChain 2022. PyChain was a highly successful event for blockchain enthusiasts, developers, and traders. The conference provided an opportunity for attendees to learn about the latest trends and advancements in blockchain technology, connect with like-minded professionals, and share their knowledge and experiences. In hosting this event, we surveyed PyChain attendees to get a better understanding of Python's place within blockchain and
Meet Trading Strategy at ETHDubai 2023
Trading Strategy will be attending ETHDubai, the conference for passionate devs and contributors on anything related to Ethereum, DeFi, EVM and more with a focus on decentralisation and community projects.
Benefits and risks in Ethereum EIP-4337 account abstraction
New use cases and potential risks of the upcoming Ethereum account abstraction, EIP-4337, EIP-2938 in the Shanghai hard fork.
Writing a portfolio construction strategy in Python
Developing automated portfolio construction and alpha signal trading strategies in Python.
The Automated Cryptocurrency Trading Landscape
In this article, we provide an overview of the current landscape of automated cryptocurrency trading, covering different types of platforms and services and highlighting example businesses for each.
The Evolving Landscape of Automated Cryptocurrency Trading: A Market Study of Trading Strategy Solutions
We have recently published a report titled “The Evolving Landscape of Automated Cryptocurrency Trading: A Market Study of Trading Strategy Solutions” where we take a look at the current state of the cryptocurrency trading bot and platform landscape.
BNB Chain Erigon full node snapshot available for download
Trading Strategy hosts a BNB Chain snapshot for those who are looking to sync new BNB Chain full nodes
Join us at GFIA's Crypto Risk Management Seminar in Gibraltar
Join Trading Strategy, CEO and Co-founder, Mikko Ohtamaa where he will be sharing his expert opinion on the unique risks and challenges that come with working with managing cryptocurrencies within investment funds, and strategies for mitigating risk while meeting regulatory requirements.
Relative Strength Index (RSI) Explained and How to Use It
Using technical analysis and indicators can be a lucrative way to conduct trading, but it can also be a challenging and confusing one. It's essential to have a good understanding of the tools and indicators used in systematic trading. One such tool is the RSI.
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.