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85score
r/algotrading
SaaS subscription
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Prop Firm Evaluation Risk Guard API

A middleware SaaS that sits between algorithmic trading bots and proprietary trading platforms. It strictly enforces the firm's complex daily drawdown and risk rules, preventing the user's bots from violating terms and failing the paid evaluation.

1 canalTendance des mentions sur 30 jours: latest 1, peak 2, 30-day series
Voir sur Reddit
Découvert 26 mai 2026

Pourquoi c'est important

You have spent months coding and backtesting your algorithmic trading bots, but you lack the capital to trade them properly. You turn to proprietary trading firms to access larger funding pools, paying upfront for an evaluation. However, your standard bots have no awareness of the firm's strict global daily loss limits. A sudden market swing causes your bots to temporarily dip below the required equity threshold, immediately failing your evaluation and costing you your upfront fee. Existing bots cannot natively monitor the overall account health in real-time across multiple strategies.

  • · Conçu pour Retail algorithmic traders attempting to pass proprietary trading firm challenges with their automated strategies..
  • · Monétisation la plus probable : SaaS subscription.

La douleur · Récit

You have spent months coding and backtesting your algorithmic trading bots, but you lack the capital to trade them properly. You turn to proprietary trading firms to access larger funding pools, paying upfront for an evaluation. However, your standard bots have no awareness of the firm's strict global daily loss limits. A sudden market swing causes your bots to temporarily dip below the required equity threshold, immediately failing your evaluation and costing you your upfront fee. Existing bots cannot natively monitor the overall account health in real-time across multiple strategies.

Détail du score

Intensité du problème8/10
Volonté de payer8/10
Facilité de réalisation5/10
Durabilité7/10

Signal du marché

Tendance des mentions sur 30 joursPic : 2
Sparkline: latest 1, peak 2, 30-day series
Canaux couverts
algotrading

Mise sur le marché

Utilisateur cible exact

Retail algorithmic traders who have developed profitable bots but repeatedly fail proprietary firm evaluations due to strict drawdown rule violations.

Nombre d'utilisateurs estimé

~50,000 active global participants in retail algorithmic trading communities attempting funding challenges.

Canal d'acquisition principal

Niche algorithmic trading forums and Discord communities.

Ancre de prix

$39/month

Premier jalon

15 paying subscribers acquired through direct outreach in trading Discord servers.

Périmètre MVP · 1–2 semaines

Semaine 1
  • Design architecture for intercepting algorithmic trade signals via webhooks.
  • Set up database schema to track daily equity high-water marks and current drawdowns.
  • Build integration module for standard evaluation environments like MetaTrader or TradeLocker.
  • Develop core risk evaluation logic to calculate if a new signal violates daily loss limits.
  • Create basic API documentation detailing how users connect their existing Python bots.
Semaine 2
  • Implement a user-facing dashboard to monitor current drawdown status against limits.
  • Build the automated kill-switch feature that flattens open positions nearing the threshold.
  • Test the end-to-end flow with simulated trades hitting the defined loss limit.
  • Integrate a subscription billing system for onboarding early beta testers.
  • Launch a landing page explaining how the middleware prevents costly evaluation failures.
Fonctions MVP: Universal webhook receiver for bot signals · Real-time floating equity monitor · Automated trade blocking when daily loss approaches limits · Emergency position flattening API · Prop firm ruleset templates

Différenciation

Solutions existantes
FTMOInteractive Brokers
Notre angle
There is no middleware layer helping retail bots dynamically adjust their sizing or strictly enforce external daily-loss limits to survive prop-firm evaluations.

Pourquoi cela pourrait échouer

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

  1. 1Network latency between the middleware and the broker could result in slipped stop-losses, still causing a rule violation.
  2. 2Proprietary trading firms actively discourage or block third-party trade copiers and API bridges.
  3. 3Traders may prefer to code simple risk limits directly into their own bots rather than pay a monthly subscription.

Résumé des preuves

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

Community members frequently highlight that passing evaluations is the only viable path for undercapitalized algorithms, yet they repeatedly warn that the evaluation rules are stacked against the trader. Managing risk across multiple automated systems to satisfy a rigid, overarching daily loss limit is flagged as a major operational hurdle.

1 1 publication analysée1 1 canalAI · 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

Prop Firm Evaluation Risk Guard API

Sous-titre

A middleware SaaS that sits between algorithmic trading bots and proprietary trading platforms. It strictly enforces the firm's complex daily drawdown and risk rules, preventing the user's bots from violating terms and failing the paid evaluation.

Pour Qui

Pour Retail algorithmic traders attempting to pass proprietary trading firm challenges with their automated strategies.

Liste des Fonctionnalités

✓ Universal webhook receiver for bot signals ✓ Real-time floating equity monitor ✓ Automated trade blocking when daily loss approaches limits ✓ Emergency position flattening API ✓ Prop firm ruleset templates

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 ?
Retail algorithmic traders attempting to pass proprietary trading firm challenges with their automated strategies.
Est-ce une réelle opportunité ?
Cette opportunité obtient un score de 85/100 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.