It would be good to get some more information about where exactly you are with deployment. With the space as it currently stands, this process typically involves quite a number of hurdles. Let’s split the services in the algo trading space up into a few categories: - Brokers (e.g. Alpaca & IB) - Raw Tick Data Providers (e.g. Polygon & Databento) - Python Libraries (e.g. BackTrader & vectorbt) - Automation Platforms (e.g. QuantConnect & TradeStation) Given that you have a Python strategy, you would likely need programmatic access to data and trade execution, as well as some place to actually run your strategy if you require uptime. Also, as is the case with most strategies, you may also want to make improvements over time. Can you execute trades on Brokers? Yes, that’s what they’re for. If you’re happy with receiving aggregated data, being subject to PFOF and preferential treatment of orders, with limited types of orders you can create, then Alpaca is great. Now, if your strategy is institutional-grade, you would need a Broker like IB that provides raw tick data and DMA. However, they are very difficult to integrate with so you would need to be highly proficient in coding. Can you run your strategy on Brokers? No, you would need your own locally running system or a VPS. This means you would need to be in charge of handling uptime. Want to trade multiple asset classes? Unfortunately, IB only provides data for traditional assets. If your strategy involves digital assets, you could use a raw tick Data Provider like Polygon. However, they don't allow you to execute trades (only receive data), so that part is still left up to you to somehow handle. Want to make improvements? Adding functionality like the ability to backtest, forward test, or optimise using ML, requires further tooling integrations that would only add to the complexity of your stack. There are Python Libraries that help with this, such as vectorbt, where you don’t have to handle API connections (to data providers) or testing integrations. However, they still require to signup to all the venues you wish to trade on (providing KYC where required along with wait times). They also don't provide cloud resourcing for you to be able to run your strategy without downtime, and these also generally come with a steep learning curve. Is there a unified solution? Currently, the closest platform to offering a unified solution is QuantConnect. Through them, you’ll receive raw tick data, be able to execute trades, run your strategy on their cloud infrastructure, and make improvements using their integrated tooling. However, where QuantConnect falls short is having to connect your own brokers, only being able to execute trades on a single venue as part of a strategy, and being limited to 100% automation (cannot make any manual decisions). Final thoughts? Depending on what you’re after, your proficiency with coding, and the time you have available, there are some options available to you. We aren’t a fan of the space as it is currently, and having run into these issues (plus many others), we decided to address them with Axiom–a truly unified solution. More on reddit.com

OpenAlgo is an open-source and self-hosted algo trading platform, giving you the flexibility to operate it directly from your desktop or laptop, or deploy it on servers, depending on your requirements. OpenAlgo is currently utilized as a bridge to automate trading strategies by connecting popular ... More on forum.fossunited.org

Backtrader.

Open source python backtrader, optimizer and TA analysis in one

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[FREE] Alpaca Markets - haven't tried it yet, but it's free, REST API, looks cool, has only stocks, haven't seen options or futures [FREE] RobinHood - you can find implementation of intercepted RobinHood API on GitHub, it's also free, REST API, but RH can ban you for using it, because they can barely handle load from manual traders, you can trade options for free IEX Exchange - it was free for non-profit organizations, brokers, and other exchanges, now it's available to retail traders for something like $5-$10 a month, only stocks, maybe currencies, no options or futures Interactive Brokers - so-o-o-o-o-o sl-o-o-o-o-w, it's ok to use it if you want to trade stocks, but getting options chain for only one single week takes minimum 30 seconds after all code optimizations, initial implementation took something around 5 minutes, if you have an account in IB, you only need to buy subscriptions to specific market data, aPI is free and kind of open-source, available on GitHub if you send them a request to add you to GitHub repository TD Ameritrade - works much much faster than IB, like milliseconds compared to minutes, has REST API for all kind of securities, but people say their API is still in beta mode, and Schwab is going to buy TDA soon, so some features, like API may be abandoned LightSpeed - they seem to have C++ and C# API, but it's attached to their platform, so you have to pay $300-$500 a month only to get their platform first [FREE] Meta Trader 5 - US stocks can be traded through Just 2 Trade - Finam, futures can be traded through AMP Futures, no options, API is free, but you have to create your own bridge between your program and MT5 Quant Connect - stocks, options, and currencies, C# and Python API libraries, free for testing on historical data and $20 for real-time trading through IB gateway. IQ feed - perhaps the fastest way to get market data for options, but you still need a broker to send actual orders to buy or sell, costs around $50 a month More on reddit.com