I've been DIY'ing exactly this full time over the last year. Rolling out my own system using Polygon and IEXCloud for market data, DolphinDB and Shakti for time series processing, and Pandas/Dask for verification and parameter optimization.
I totally underestimated the magnitude of the problem, so I'm really looking forward to trying Enombic.
Given my frustration with the DIY approach, I started evaluating some prosumer tools a couple of weeks ago. One of them uses Morningstar data, and the other uses FactSet data. They are in the $100-$200/month range. I had some decent success building statistically sound models to the point where I'm considering dumping my DYI toolset and pay for a ready-made solution.
One of the alternatives has an active forum and community that even sells subscriptions to the user models. I bet you can tap this for your own good. I won't share their names here to avoid crashing your launch, but I'm happy to chat over email if you want to learn more.
Some of the questions that I'd ask myself before putting my savings on autopilot on a system like Enombic are:
1. Where is fundamental and price data sourced from? Is it free from survivorship bias? Is it point in time?
2. Can users backtest/simulate their ideas? How do you help users from curve fitting their models?
Anyhow, I'm on the waiting list now and would love to evaluate Enombic and give you my feedback.
Indeed, there's a lot of opportunity cost in building and maintaining the tools. If you're interested in investing, you probably want to spend your time on investing rather than migrating databases all of the time etc.
We're quite interested in learning more around your suggestion. If you're comfortable, feel free to ping us at hello [at] enombic [dot] com. Would also be happy to chat more about data sources and our roadmap.
I've been DIY'ing exactly this full time over the last year. Rolling out my own system using Polygon and IEXCloud for market data, DolphinDB and Shakti for time series processing, and Pandas/Dask for verification and parameter optimization.
I totally underestimated the magnitude of the problem, so I'm really looking forward to trying Enombic.
Given my frustration with the DIY approach, I started evaluating some prosumer tools a couple of weeks ago. One of them uses Morningstar data, and the other uses FactSet data. They are in the $100-$200/month range. I had some decent success building statistically sound models to the point where I'm considering dumping my DYI toolset and pay for a ready-made solution.
One of the alternatives has an active forum and community that even sells subscriptions to the user models. I bet you can tap this for your own good. I won't share their names here to avoid crashing your launch, but I'm happy to chat over email if you want to learn more.
Some of the questions that I'd ask myself before putting my savings on autopilot on a system like Enombic are:
1. Where is fundamental and price data sourced from? Is it free from survivorship bias? Is it point in time? 2. Can users backtest/simulate their ideas? How do you help users from curve fitting their models?
Anyhow, I'm on the waiting list now and would love to evaluate Enombic and give you my feedback.