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Esta oportunidad se creó antes del canal de análisis v2. Algunas secciones (Narrativa del dolor, GTM, Alcance del MVP, Por qué podría fallar) aparecerán después del próximo reanálisis.

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88puntuación
r/algotrading
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Tick-Level Backtesting & Slippage Engine

A cloud-based backtesting platform that forces users to test on tick data with built-in, venue-specific slippage and fee models. It prevents the 'perfect fill' illusion of bar-based backtesting that plagues retail traders.

Ver en Reddit
Descubierto 7 may 2026

Desglose de puntuación

Intensidad del dolor9/10
Disposición a pagar8/10
Facilidad de construcción3/10
Sostenibilidad7/10

Diferenciación

Nuestro enfoque
Retail backtesting platforms rely on bar data (OHLC) which creates a 'perfect fill' illusion. There is a lack of accessible, cloud-based tick-level backtesting and automated walk-forward validation tools that account for regime drift.

Voces de la comunidad

Citas reales de comentarios de Reddit que inspiraron esta oportunidad

  • half my early 'profitable' strategies were just paying slippage to a backtest that assumed perfect fills.
  • backtesting on bars is fundamentally different from live trading on ticks.
  • turns out there was a very small error in my code that basically introduced lookahead bias.
  • your backtest is a story you tell yourself about the past. the live account is reality. they will never match
  • Your backtest is lying to you.
  • I only save to a database and do analysis that way with frontend analytical calculations I wired up. But how are others backtesting? I’m sure I am overcomplicating it.

Plan de Acción

Valida esta oportunidad antes de escribir código

Próximo Paso Recomendado

Construir

Señales de demanda fuertes. Hay dolor real y disposición a pagar — empieza a construir un MVP.

Kit de Textos para Landing Page

Textos listos para pegar, basados en el lenguaje real de la comunidad de Reddit

Titular

Tick-Level Backtesting & Slippage Engine

Subtítulo

A cloud-based backtesting platform that forces users to test on tick data with built-in, venue-specific slippage and fee models. It prevents the 'perfect fill' illusion of bar-based backtesting that plagues retail traders.

Para Quién Es

Para Intermediate to advanced retail algorithmic traders and boutique quant funds.

Lista de Funciones

✓ Tick-data replay engine ✓ Venue-specific slippage and latency simulation ✓ Automated lookahead bias detection in code

Prueba Social

half my early 'profitable' strategies were just paying slippage to a backtest that assumed perfect fills.— Usuario de Reddit, r/r/algotrading

backtesting on bars is fundamentally different from live trading on ticks.— Usuario de Reddit, r/r/algotrading

turns out there was a very small error in my code that basically introduced lookahead bias.— Usuario de Reddit, r/r/algotrading

your backtest is a story you tell yourself about the past. the live account is reality. they will never match— Usuario de Reddit, r/r/algotrading

Your backtest is lying to you.— Usuario de Reddit, r/r/algotrading

I only save to a database and do analysis that way with frontend analytical calculations I wired up. But how are others backtesting? I’m sure I am overcomplicating it.— Usuario de Reddit, r/r/algotrading

Dónde Validar

Comparte tu landing page en r/r/algotrading — ahí es exactamente donde se descubrieron estos puntos de dolor.