Build it yourself, or run it on Periscøpe.
A working systematic trading system is more than a strategy. It's a backtest engine, a paper/live harness, broker integration, logging, dashboards, and servers to run it all. You can build that, or use a workflow that already has it. Here's an honest look at both.
Two honest paths.
Getting to a monitored run fast.
You want to write strategies in Python and get them backtesting, paper trading, and live, with diagnostics built in, without assembling and maintaining the infrastructure around them.
Owning every layer.
You want total control of the engine, the data, the execution path, and the hosting, and you're willing to build and maintain all of it to get there.
What you'd build vs what's already there.
| Periscøpe | Roll your own | |
|---|---|---|
| Strategy language | Python + typed SDK | Python, your choice of libraries |
| Backtest engine | Event-driven, built in | Build it, or wire up a library |
| Slippage & spread modeling | Modeled in the fill engine | You implement it |
| Market calendars & sessions | Built in (NYSE, CME futures) | You handle it |
| Paper trading | ✓ | Build the real-time harness |
| Live execution | Same code, access on request | Build broker integration |
| Diagnostics: orders, fills, logs | Built in | Build logging & dashboards |
| Managed compute | ✓ | Run and maintain servers |
| Strategy versioning | Immutable, automatic | Set it up yourself |
| Connect your own broker | ✓ | ✓ |
| Full control of the stack | ~ | ✓ |
| Time to first monitored run | Short | Weeks to months |
Where rolling your own genuinely wins.
If you need a custom engine, an unusual data source, or execution logic no platform exposes, building it yourself is the right call, you get exactly what you design, and you own it end to end. The trade-off is time: every piece between a notebook and a live system is yours to write, debug, and keep running. Most of the work that breaks strategies on the way to live, fills, calendars, broker state, logging, monitoring, lives in that infrastructure, not in the strategy.
Periscøpe's bet is that, for most systematic traders, that infrastructure is undifferentiated work. You keep the part that's yours, the strategy, in Python, and skip rebuilding the rest.
Build vs buy: questions.
Isn't rolling my own more flexible? +
Yes, that's its real advantage. You control every layer and own the whole stack. The cost is that you also build and maintain every layer: the backtest engine, the paper/live harness, broker integration, logging, dashboards, and the servers it all runs on.
What does Periscøpe take off my plate? +
The infrastructure between a strategy idea and a monitored run: an event-driven backtester with slippage and market-calendar handling, paper and live execution on the same code, managed compute, and diagnostics for orders, fills, positions, ledger, and logs.
Do I still own my broker account? +
Yes. You connect your own broker, and it stays the source of truth for fills, positions, and buying power. Periscøpe routes orders and records what happens.
Can I move a strategy from backtest to live without rewriting it? +
On Periscøpe, yes, the same strategy code runs in backtest, paper, and live. In a DIY system, keeping research and live code in sync is one of the hardest parts to get right.
Skip the plumbing. Keep the Python.
We onboard in focused cohorts. Tell us what you trade and how you work. Live access is rolled out to select users on request.