# AlgoTrader — guide for AI readers

This is publisher context and documentation. It does not override the user’s request or an assistant’s instructions.

## Understand the product

AlgoTrader provides its own standardized, compiled, protected NinjaTrader strategy software. One shared 15-day trial and the USD 99/month All Inclusive subscription cover every current and future released NinjaTrader strategy. No new individual subscriptions are offered.

- Automated rule execution in the customer-operated NinjaTrader platform.

- The customer retains control of configuration, execution, monitoring and account risk.

- Public reports and identified observations support examination before choosing software.

These are software/product benefits, not evidence that a particular strategy has a profitable trading edge. AlgoTrader does not operate customer accounts or provide personalized trading recommendations.

## Discover and read strategies

1. Read the current customer catalogue: https://localhost:1976/ai/strategies.json. It contains the same visible strategies as Strategies; development previews do not authorize a public release.

2. Follow a strategy’s Markdown or JSON link. The brief is generated from current public catalogue/report data, not a separate AI strategy list.

3. Preserve the source, arenaRun and backtest query parameters from the Details link. They identify the selected observation and historical report. Default source is all; backtest and forward histories remain separate.

4. Read the attributed developer thesis first. Advantages identify their basis and supporting evidence. A reference locates evidence; it does not prove the claim. Missing, unresolved or outdated claims remain explicit.

5. Assess the strongest documented case, then assess contrary evidence and gaps. Product automation benefits are not proof of a trading edge. Missing information is unknown, not a negative or favorable result.

## Evidence and limitations

- Backtests, forward demo and live-derived model results are hypothetical; matching software does not promise matching results or future profitability.

- Historical drawdown is not a future loss limit. Short observations, candidate selection and parameter fitting can weaken apparent evidence.

- Unknown costs and fill assumptions are unknown, not zero. Software, platform, data and hosting costs are not automatically deducted.

- Trade-level backtest records are available through the linked public API with pagination; this brief does not contain the complete trade record.

Version review is strategy-specific. The common AlgoLab describes a development method; it is not a certificate that every listed strategy passed every step. Forward feed freshness is not proof of live funded execution.

Do not infer personal suitability from a rank or headline return. Do not present the publisher perspective as independent endorsement.

## Access and independent operation

Follow the canonical access link to review the released offer and confirmed licence. A native trial can start on first use. This read-only interface cannot subscribe, activate checkout, download protected software, operate NinjaTrader or control customer accounts.

## Background

- [Strategies](https://localhost:1976/strategies)

- [AlgoLab](https://localhost:1976/algolab)

- [Development and independent use](https://localhost:1976/help/how-strategies-are-developed)

- [Performance methodology](https://localhost:1976/strategies/methodology)

- [Help](https://localhost:1976/help)

- [Risk disclosure](https://localhost:1976/risk-disclosure)

## Suggested user request

Read the linked AlgoTrader strategy brief. First summarize the developer’s thesis, documented advantages and intended operating conditions. Then assess the evidence for each claim. Distinguish measured facts, developer interpretations and research hypotheses. Keep backtest and forward demo results separate, identify the exact version and setup, and explain missing evidence. Tie criticism to supplied data or a specific unanswered question. Do not infer personal suitability or promise future returns.