We manage the infrastructure and tooling, so you can focus on what's most important: Your Strategy
Axiom offers all the conveniences of a brokerage without any of the downsides
Axiom allows you to seamlessly produce and run your strategies, using our proprietary automation system, APIs, and cloud infrastructure
Axiom provides everything a trader needs to test and improve their strategies, all under the one platform
Not just a better trading platform,
but a unified solution...
Axiom v.Non-DMA Brokers(e.g. Alpaca) |
Non-DMABrokers | Axiom |
---|---|---|
Variety of asset classes supported | ||
Direct access to venues with no spread or PFOF on orders | ||
No preferential treatment for orders | ||
No restriction on order types or access to leverage |
Axiom v.Data Providers(e.g. Finnhub, Polygon, DataBento) |
DataProviders | Axiom |
---|---|---|
Realtime & historic APIs for tick-level data on every asset across every venue | ||
Can execute orders/trades | ||
No data limits or throttling | ||
Low latency through co-location |
Axiom v.Python Libraries(e.g. Backtrader, vectorbt) |
PythonLibraries | Axiom |
---|---|---|
Allows coding of trading strategy in Python, with API integrations abstracted | ||
Can switch between backtesting, forward testing, optimisation, with zero code change | ||
No signups or KYC needed for venues to trade on | ||
Cloud resourcing provided for ensuring uptime |
Axiom v.Automation Platforms(e.g. QuantConnect) |
AutomationPlatforms | Axiom |
---|---|---|
Managed API connections to trading venues | ||
Provides cloud resourcing and tooling for testing/optimising strategies | ||
No signups or KYC needed for venues to trade on | ||
Can trade manually or use automation simply to drive manual decision making | ||
Can execute trades on any number of venues as part of the same strategy |
Every traditional asset exchange and the top 10 digital asset exchanges, with new exchanges being added based on demand.
Unlike other services so far that have required broker integrations in order to execute trades, Axiom is designed from the ground up to be a unified solution. Having to integrate your own brokers defies the purpose of Axiom being completely frictionless. This is especially useful for strategies that require trades to be placed across multiple exchanges. Axiom gives you direct access to exchanges, with no need to sign up to various venues, go through KYC, and integrate APIs. With that said, if you wish to do this then you can.
Most retail trading platforms also act as brokerages, enforcing spread and PFOF. Spread and PFOF have negative effects on your ROI, as you're receiving sub-optimal trade executions. Brokers earn their revenue at the expense of users, a lucrative business model in the retail world. For digital assets, Axiom directly integrates with exchanges, bypassing brokers that earn their revenue at user expense. For traditional assets, Axiom leverages brokers that offer traders on our platform commission-free Direct Market Access (DMA). Regardless of what you trade, you will receive DMA, which is the only way to guarantee true asset pricing and optimal trade execution.
Initially, Python will be the language used to write strategies, but we will add new languages over time.
There exists many “no code automation” platforms that leverage LLMs for this purpose. Some examples are: Composer, CoinRule, MachineTrader, Trality, Tuned, and QuantMage. However, these platforms fall short for one or more of the following reasons:
Axiom is targeted towards the majority of traders who want a ready-to-go cloud-based solution, which is managed by us. An on-premise solution is generally more complex for the user to set up, incurs significantly higher costs due to data transfer between servers, and would require the user to perform frequent software updates. We understand that there are some use-cases, where on-premise is the right solution, e.g. prop firms. If there's sufficient demand, we will offer this.
For our managed cloud solution, traders can select co-location if proximity to a single exchange is a factor, or choose cross-exchange trading if they prefer to trade across multiple venues as part of the same strategy without requiring sub-millisecond precision. In either case, users can decide where to host their virtual machine.
Whether you want to fully automate a strategy using code, leverage automation to assist with your manual decision-making, or trade seamlessly on various exchanges through our user interface with access to raw pricing, you can do it on Axiom.
Yes, anyone with enough time and knowledge can do this. However, there are multiple steps involved in doing so. Below is a summary of the steps involved for a single strategy:
We went through this tedious process and would have much rather just used a service like Axiom, had it existed.
Axiom doesn't necessarily offer “special tooling”, as there is no such thing. It's rather that the process of testing strategies on Axiom is simple and frictionless. Our trader console allows seamless integrations with your strategies, allowing you to dynamically test any changes. This is what makes Axiom's integrated tooling “special”.
Currently, traders often pay for a combination of services as part of their toolkit. Because Axiom is a unified solution, you no longer need to leverage these services, thereby saving on monthly costs. Providing this solution requires us to incur significant data and infrastructure costs. Because of this, Axiom will be a paid monthly service with free trials where applicable. Below are some examples of services that offer features comparable to Axiom.
Service | Price (USD/month) |
---|---|
Alpaca | $100 |
Polygon | $200 |
QuantConnect | $60 |
Axiom will be priced on par with these services.
Not simply an overnight idea, rather several years in the making
When we came together to build an automated system to run algorithmic trading strategies.
Even though we come from a finance and tech background, what we learned while building this system was that most parts had to be custom built, with existing services only solving small pieces of the puzzle.
One such challenge was integrating with multiple exchanges to execute trades as part of the same strategy. Sounds simple enough, right? Well, we thought so too. But it turned out to be very time consuming and error prone, while also requiring constant upkeep.
Traders at institutions (like hedge funds and quant firms) do not experience the same problems that retail traders do, as they have seamless access to infrastructure and tooling already in place to address all the challenges.
To give everyone in the retail trading space the same opportunities that traders at institutions have, and we will start by levelling the technological playing field.
We aim to have the beta available for people on our waitlist to test in 2025