Finance and accounting decision
TradingBox Pro
A capable developer can build a useful backtester + basic live bot replacement (using existing open-source projects), but reproducing a polished commercial trading product with paid data, broker relationships, support and operational robustness is not realistic for one person.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All TradingBox Pro alternatives, with the arithmetic →
What a replacement has to do
- Ingest market data, run strategies/backtests, place orders via broker APIs, show status and simple metrics in a dashboard.
What it still won’t have
- polished commercial UI/UX and onboarding
- paid market data feeds and latency-optimized connectivity
- existing broker partnerships and tested order-routing at scale
- customer support and SLAs
- security audits, compliance, and operational monitoring
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
TradingBox Pro does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
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What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal self-hosted trading platform using Python (FastAPI) + Postgres + Docker. Core features: ingest OHLCV historical CSV and realtime quotes (WebSocket/REST), normalize/store data in Postgres, implement a rule-based backtester that computes P&L and drawdown, implement a simple live execution adapter for a generic broker REST API (place/cancel orders, track fills), minimal React dashboard to list strategies, start/stop live runs, and display recent orders and equity curve. Out of scope: paid market data integrations, exchange-specific low-latency matching, user multi-tenancy, and advanced risk management. Include logging, error handling, unit tests for data ingestion/backtester and CI pipeline, and Docker compose deployment instructions.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productTradingBox — Trade on the Edge
- open sourcefreqtrade/freqtrade
- open sourceSuperalgos/Superalgos
Integrity checks
What held up, and what did not.
