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Trading Rule Enforcement Layer for Broker APIs
A SaaS platform that connects to a trader's broker via API and enforces pre-committed trading rules in real-time — locked stops, position size limits, cooldown periods between trades, daily loss limits — making it structurally impossible to break rules mid-trade while still allowing discretionary entry and post-session strategy refinement. This directly addresses the core pain described: traders who know their rules but cannot follow them in the moment.
Why this matters
You have been trading for years. You have a strategy that should be profitable. You know your rules cold. Yet every single day, in the heat of the moment, you move your stop one more tick. You force an entry that is not in your plan. You increase your size because you want to make it back. You revenge-trade after a loss. You know exactly what you are doing wrong, and you do it anyway. The market does not help — sometimes it rewards your worst habits, paying you for moving a stop or oversizing, which makes the behavior even harder to extinguish. You have tried discipline, willpower, and journaling. None of them stop you in the moment. What you need is not another reminder of your rules — you need a system that makes it physically impossible to break them while you are in a trade, and that lets you review and refine those rules only between sessions, never during them.
- · Built for Active day traders with 2+ years of experience who have a defined trading strategy but lose money to behavioral interference — moving stops, revenge trading, oversizing, forcing entries — and use API-enabled brokers like Interactive Brokers or Alpaca.
- · Most likely monetization: SaaS subscription with tiered pricing based on broker connections and rule complexity.
The Pain · Narrative
You have been trading for years. You have a strategy that should be profitable. You know your rules cold. Yet every single day, in the heat of the moment, you move your stop one more tick. You force an entry that is not in your plan. You increase your size because you want to make it back. You revenge-trade after a loss. You know exactly what you are doing wrong, and you do it anyway. The market does not help — sometimes it rewards your worst habits, paying you for moving a stop or oversizing, which makes the behavior even harder to extinguish. You have tried discipline, willpower, and journaling. None of them stop you in the moment. What you need is not another reminder of your rules — you need a system that makes it physically impossible to break them while you are in a trade, and that lets you review and refine those rules only between sessions, never during them.
Score Breakdown
Market Signal
Go-to-Market
Active retail day traders with 2-10 years of experience using API-enabled brokers (Alpaca, Interactive Brokers, Tradier) who have documented trading rules but consistently break them, losing $1000+ per month to behavioral interference
Approximately 200K-500K globally who match this profile based on broker API user counts and day trading community sizes
Organic posts and community engagement in trading-focused forums and social media communities where traders discuss psychology and discipline problems
$79/month for single broker connection, $129/month for multi-broker — first month at $29 trial rate
30 paying users within 30 days of launch, acquired through community organic posting and word-of-mouth in trading communities, with at least 5 users reporting a full week without rule violations
MVP Scope · 1–2 weeks
- Set up Alpaca API integration with paper trading account — authenticate, fetch positions, place bracket orders, and subscribe to real-time order updates via WebSocket
- Build the rule-commitment schema: define a session rule set JSON structure (max position size, stop price locked flag, cooldown seconds, daily loss limit) and a UI form to configure it
- Implement the core enforcement engine: a middleware layer that receives outgoing order-modification requests, checks them against the committed rule set, and rejects violations with a reason message
- Create a basic React dashboard showing active trades, committed rules, and a real-time log of any rejected modification attempts with timestamps
- Write end-to-end tests simulating a trader attempting to move a stop, increase size, and enter during cooldown — verify all are blocked
- Add daily loss limit circuit breaker: track cumulative session P&L in real-time and automatically flatten positions plus disable new entries when the threshold is hit
- Implement post-session rule versioning: allow rule set modifications only when no positions are open, store versions with timestamps, and display a diff view of changes over time
- Build the P&L attribution dashboard: tag each closed trade as rule-compliant or rule-violated, calculate cumulative cost of violations, and display a clean vs actual equity curve
- Add Interactive Brokers API as a second broker integration using the ib_insync Python library, with the same enforcement engine interface
- Create onboarding flow: broker connection wizard, rule template library (3 starter templates: scalper, swing-day, breakout), and a 5-minute guided setup that ends with the first locked session
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1Broker API enforcement is bypassable — most traders can still open their broker's native desktop or web client and modify orders directly, defeating the enforcement layer unless the tool also disables native client access or the broker supports true account-level order locks
- 2Trust and liability — a single incident where the enforcement service fails to route a stop-loss order during a fast market crash, costing a trader thousands, could trigger lawsuits, chargebacks, and community reputation destruction that kills the product overnight
- 3Traders may achieve short-term discipline gains and then churn, believing they have internalized the rules — the very success of the tool reduces retention, requiring continuous feature innovation (analytics, community rule templates, backtesting) to maintain long-term subscriptions
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Approximately 8 commenters in this discussion described the core pain of being unable to follow their own trading rules despite years of experience, with one trader recounting 12 years of repeated rule violations before finally building a system that prevented interference entirely. Multiple commenters described specific destructive behaviors — moving stops, revenge trading, oversizing — and noted that the market sometimes rewards these violations, making them self-reinforcing. Several expressed that the key insight was not increasing discipline but removing the ability to override rules, and one commenter quantified the cost: rule violations turned a potential $5600 month into an $1800 month. No existing tool was mentioned that provides selective real-time enforcement with post-session rule refinement.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Trading Rule Enforcement Layer for Broker APIs
Sub-headline
A SaaS platform that connects to a trader's broker via API and enforces pre-committed trading rules in real-time — locked stops, position size limits, cooldown periods between trades, daily loss limits — making it structurally impossible to break rules mid-trade while still allowing discretionary entry and post-session strategy refinement. This directly addresses the core pain described: traders who know their rules but cannot follow them in the moment.
Who It's For
For Active day traders with 2+ years of experience who have a defined trading strategy but lose money to behavioral interference — moving stops, revenge trading, oversizing, forcing entries — and use API-enabled brokers like Interactive Brokers or Alpaca
Feature List
✓ Pre-trade rule commitment: define entry criteria, stop, target, and max size before the session starts; rules are cryptographically locked for the session ✓ Real-time enforcement layer: intercepts broker API modify/cancel orders and rejects any that violate committed rules (stop movement, size increase, new trade within cooldown) ✓ Daily loss limit circuit breaker: automatically flattens positions and disables new entries when a configured daily loss threshold is hit ✓ Revenge trade cooldown: mandatory waiting period (configurable 5-30 minutes) after any losing trade before new entries are allowed ✓ Post-session rule versioning: review trade results, adjust rules with full audit trail, and commit new rule set for next session — but cannot change rules during live trading ✓ P&L attribution dashboard: automatically tags every trade as rule-compliant or rule-violating and shows cumulative cost of violations over time ✓ Broker API auto-import: pull executed trades, fills, and modifications automatically from supported brokers without manual entry ✓ Rule definition engine: define rules in plain language (max 2 trades per hour, stop must be set within 10 seconds of entry, no new trades within 5 minutes of a loss) and the system tags each trade
Where to Validate
Share your landing page in r/r/Daytrading — that's exactly where these pain points were discovered.
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