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74score
r/algotrading
SaaS subscription
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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 hausse +300%4 canauxTendance des mentions sur 30 jours: latest 3, peak 3, 30-day series
Voir sur Reddit
Découvert 3 août 2026

Pourquoi c'est important

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.

  • · Conçu pour Crypto systematic traders who already run their own signals but want disciplined sizing across leverage, margin, venue, and concentration constraints..
  • · Monétisation la plus probable : SaaS subscription.

La douleur · Récit

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.

Détail du score

Intensité du problème8/10
Volonté de payer6/10
Facilité de réalisation6/10
Durabilité7/10

Signal du marché

Tendance des mentions sur 30 joursPic : 3
Sparkline: latest 3, peak 3, 30-day series
Canaux couverts
algotradingDaytradingfront_pageValueInvesting

Mise sur le marché

Utilisateur cible exact

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

Nombre d'utilisateurs estimé

~15K-40K in the initial niche

Canal d'acquisition principal

r/<community> organic

Ancre de prix

$79/month

Premier jalon

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

Périmètre MVP · 1–2 semaines

Semaine 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
Semaine 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
Fonctions MVP: Survivability-based size recommendations · Venue-risk budgets and caps · ADL and liquidation-cascade scenario scoring · Drawdown-aware exposure planner · Bot-readable sizing API

Différenciation

Solutions existantes
Hyperliquid native tooling
Notre angle
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.

Pourquoi cela pourrait échouer

Auto-contre-argument — le signal de confiance le plus important

  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.

Résumé des preuves

Comment l'IA a synthétisé cet aperçu — pas de citations textuelles

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 publication analysée4 4 canauxAI · Synthétisé par IA · pas de citations

Plan d'Action

Validez cette opportunité avant d'écrire du code

Prochaine Étape Recommandée

Construire

Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.

Kit de Textes pour Landing Page

Textes prêts à coller, basés sur le langage réel de la communauté Reddit

Titre Principal

Venue-Aware Position Sizing Assistant

Sous-titre

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.

Pour Qui

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

Liste des Fonctionnalités

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

Où Valider

Partagez votre landing page sur r/r/algotrading — c'est exactement là que ces points de douleur ont été découverts.

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Report & PRDBUSINESS

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Questions fréquentes

Qui rencontre ce problème ?
Crypto systematic traders who already run their own signals but want disciplined sizing across leverage, margin, venue, and concentration constraints.
Est-ce une réelle opportunité ?
Cette opportunité obtient un score de 74/100 selon la métrique composite de Pain Spotter (intensité du problème, propension à payer, faisabilité technique et viabilité). Validez-la davantage avant d'y consacrer du temps de développement.
Comment dois-je la valider ?
Menez 5 entretiens de découverte client avec le public cible, publiez une landing page avec une liste d'attente, et vérifiez l'activité récente sur le post source lié avant de commencer le développement.