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Manually comparing trading venues before each trade to minimize costs

Traders have to manually compare every venue before placing a trade, leading to higher expected costs instead of automated smart routing across hundreds of scenarios.

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FL score

72

out of 100

Verdict

VALIDATE

high confidence

Competition

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Trend

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Build automated smart routing software that executes trades across optimal venues, capturing the cost savings traders currently leave on the table through manual comparison.

The pain

Traders executing orders manually compare venues inconsistently, missing better pricing across fragmented markets. A trader routing a $500k order might save $2,500 on one execution but leave $1,200 on the table the next day because they didn't check all venues or market conditions changed. This compounds across thousands of daily trades.

The gap

Smart routing exists for large institutional players (Bloomberg, Citadel's internal systems), but mid-market traders and smaller funds lack access to automated solutions that actually work across their specific venue mix. Existing tools either cost $50k+/year, require deep integration, or don't cover the specific venues these traders use.

Build angle

Start by targeting a specific trader segment (e.g., options traders, crypto traders, or small prop shops) with a narrow venue set (5-10 venues they actually use). Build a simple comparison engine that shows them the cost difference before execution, then automate the routing. Charge per trade or monthly subscription tied to savings captured.

Strengths

  • Clear ROI: traders can measure exact savings per trade, making pricing straightforward
  • Recurring revenue: every trade generates value, creating sticky usage patterns
  • Regulatory tailwind: market fragmentation is structural; venues won't consolidate
  • Data advantage: routing decisions improve with execution history and market data

Risks

  • Venue relationships: exchanges may restrict API access or change terms; need legal clarity upfront
  • Execution risk: latency or technical failures directly cost traders money; reliability bar is extremely high
  • Competitive moat: large brokers (Interactive Brokers, TD Ameritrade) could build this internally or acquire competitors
  • Market adoption: traders are conservative; switching routing logic requires trust and testing, not impulse purchases
  • Regulatory complexity: order routing rules (Reg SHO, best execution) vary by asset class and jurisdiction

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