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74puntuación
r/algotrading
SaaS subscription
Build

Venue-Aware Position Sizing Assistant

Offer a software tool that converts exchange-level risks, drawdown tolerance, and historical crash scenarios into recommended position sizes and exposure caps. The core promise is helping traders answer whether a portfolio can survive a no-action gap, ADL event, or venue disruption before placing trades.

En aumento +300%4 canalesTendencia de menciones de 30 días: latest 3, peak 3, 30-day series
Ver en Reddit
Descubierto 3 ago 2026

Por qué es importante

You may already cap leverage and monitor drawdown, but those controls do not tell you whether your position sizing survives the event you actually fear: a sudden gap, a liquidation cascade, or exchange-specific breakdown. The gap between a mathematically acceptable backtest and a survivable live portfolio is where many automated traders get hurt. Today, you often estimate this with rough heuristics and a few historical candles. A dedicated sizing assistant would turn your portfolio, venue, and stress assumptions into specific limits before trades are copied or opened. That makes sizing a first-class risk process rather than a vague setting buried inside the bot.

  • · Creado para Crypto systematic traders who already run their own signals but want disciplined sizing across leverage, margin, venue, and concentration constraints..
  • · Monetización más probable: SaaS subscription.

El Dolor · Narrativa

You may already cap leverage and monitor drawdown, but those controls do not tell you whether your position sizing survives the event you actually fear: a sudden gap, a liquidation cascade, or exchange-specific breakdown. The gap between a mathematically acceptable backtest and a survivable live portfolio is where many automated traders get hurt. Today, you often estimate this with rough heuristics and a few historical candles. A dedicated sizing assistant would turn your portfolio, venue, and stress assumptions into specific limits before trades are copied or opened. That makes sizing a first-class risk process rather than a vague setting buried inside the bot.

Desglose de puntuación

Intensidad del dolor8/10
Disposición a pagar6/10
Facilidad de construcción6/10
Sostenibilidad7/10

Señal de Mercado

Tendencia de menciones de 30 díasPico: 3
Sparkline: latest 3, peak 3, 30-day series
Canales cubiertos
algotradingDaytradingfront_pageValueInvesting

Estrategia de lanzamiento

Usuario objetivo exacto

Solo and small-team crypto quants using low-to-moderate leverage who want an external check on position size and venue concentration.

Número estimado de usuarios

~15K-40K in the initial niche

Canal de adquisición principal

r/<community> organic

Ancla de precio

$79/month

Primer hito

15 users upload portfolios or connect APIs and at least 5 adopt sizing recommendations in live automation within 30 days

Alcance del MVP · 1-2 semanas

Semana 1
  • Design a sizing formula that combines drawdown tolerance, gross exposure, and venue caps
  • Build input forms for open positions, leverage, margin rules, and user risk tolerance
  • Add default stress presets for crashes, spread blowouts, and delayed exits
  • Generate recommended max size per asset and total portfolio
  • Launch a simple report page with pass or fail survivability output
Semana 2
  • Connect one exchange API for automatic portfolio ingestion
  • Add venue-specific risk overlays such as concentration caps and withdrawal-risk budgets
  • Create an endpoint that returns recommended size before a bot opens a trade
  • Implement historical scenario replay from major market selloffs
  • Interview 10 users to compare tool recommendations against their current sizing rules
Funciones MVP: Survivability-based size recommendations · Venue-risk budgets and caps · ADL and liquidation-cascade scenario scoring · Drawdown-aware exposure planner · Bot-readable sizing API

Diferenciación

Soluciones existentes
Hyperliquid native tooling
Nuestro enfoque
There is a clear gap between basic bot execution tools and institutional-style portfolio risk systems tailored to copy trading, correlated wallet detection, and crypto-specific crash behavior.

Por qué esto podría fallar

Autorrefutación: la señal de confianza más importante

  1. 1Users may see sizing as common sense and underappreciate the value until after a loss, which makes sales harder.
  2. 2The best users may already have strong internal risk frameworks and only newer users may not pay enough.
  3. 3Without strong proof that recommendations improve survival without hurting returns too much, the product may feel restrictive.

Resumen de evidencia

Cómo la IA sintetizó esta información: sin citas textuales

Several comments shifted the conversation away from leverage labels and toward survivability. Participants discussed sizing for no-action gaps, monitoring margin and venue conditions automatically, and replaying liquidation cascades. The original poster also mentioned manual backtesting of drawdown and noted that tighter stops reduced recovery, which shows a real need for better position-sizing decisions rather than generic stop advice.

1 1 publicación analizada4 4 canalesAI · Sintetizado por IA · sin citas textuales

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

Venue-Aware Position Sizing Assistant

Subtítulo

Offer a software tool that converts exchange-level risks, drawdown tolerance, and historical crash scenarios into recommended position sizes and exposure caps. The core promise is helping traders answer whether a portfolio can survive a no-action gap, ADL event, or venue disruption before placing trades.

Para Quién Es

Para Crypto systematic traders who already run their own signals but want disciplined sizing across leverage, margin, venue, and concentration constraints.

Lista de Funciones

✓ Survivability-based size recommendations ✓ Venue-risk budgets and caps ✓ ADL and liquidation-cascade scenario scoring ✓ Drawdown-aware exposure planner ✓ Bot-readable sizing API

Dónde Validar

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

Regístrate para desbloquear el análisis profundo completo

GTM, alcance del MVP, por qué podría fallar, ActionPlan Copy Kit. El registro gratuito otorga 10 vistas detalladas/mes.

Report & PRDBUSINESS

Otras oportunidades en el mismo tema

Agrupadas automáticamente por IA a partir de debates relacionados

Preguntas frecuentes

¿Quién siente este problema?
Crypto systematic traders who already run their own signals but want disciplined sizing across leverage, margin, venue, and concentration constraints.
¿Es esta una oportunidad real?
Esta oportunidad tiene una puntuación de 74/100 en la métrica compuesta de Pain Spotter (intensidad del dolor, disposición a pagar, viabilidad técnica y sostenibilidad). Valídala más a fondo antes de dedicar tiempo de ingeniería.
¿Cómo debería validarla?
Realiza 5 conversaciones de descubrimiento de clientes con el público objetivo, publica una landing page con lista de espera y revisa la publicación de origen enlazada para ver la actividad reciente antes de desarrollar.