AlgoDeploy vs Doxt Stock
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
AlgoDeploy compared with Doxt Stock
| Detail | 
AlgoDeploy | 
Doxt Stock |
|---|
| What it does | Python algorithmic trading software for backtesting and live trading strategies on your own infrastructure
| A judgment you can verify
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Not given
| Free
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| Pricing | Student (Free with valid .edu email), Starter ($99 one-time), Pro ($249 one-time), Quant ($499 one-time). Optional Maintenance & Community subscription: $10/mo or $100/year.
| Not given
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| Key features | - 11 built-in technical indicators
- Built-in Model Context Protocol (MCP) server for AI assistants
| - Public append-only ledger of all judgments
- Settlement against real market prices after 5 trading days
- Preregistered settlement thresholds of ±1.0%
- Hash-chained records at database level
- Hit rate and coverage metrics
- Baseline comparisons: always-bullish, buy & hold, cash
- Simulated paper account with commissions and slippage
- Adjusted prices including splits and dividends
- Direction and confidence for each judgment
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| What makes it different | - Self-hosted infrastructure with source code included — own your software forever with a one-time purchase
- Unified backtesting and live-trading engine — same code backtests and trades live
- No subscription required for the core product — lifetime license after one-time payment
- Your data and keys stay on your machine — no cloud lock-in or third-party data storage
| - Every judgment published before settlement, including misses
- Settled by deterministic code, not curated
- Independently verifiable track record
- Transparent about what it is not: not financial advice, no money management
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 8 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 22 | 4 |
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| Referring domains (Majestic) | 19 | 2 |
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3 details filled in for both companies.
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