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Tick-Level Slippage & Friction API
An API that validates backtests by applying historical tick-level bid/ask spreads and execution delays. Users upload trade timestamps, and the API returns the exact spread and realistic slippage at that millisecond.
Why this matters
An API that validates backtests by applying historical tick-level bid/ask spreads and execution delays. Users upload trade timestamps, and the API returns the exact spread and realistic slippage at that millisecond.
- · Built for Retail algorithmic traders, quantitative data scientists.
- · Most likely monetization: API usage-based pricing / SaaS subscription.
Score Breakdown
Market Signal
Differentiation
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
Tick-Level Slippage & Friction API
Sub-headline
An API that validates backtests by applying historical tick-level bid/ask spreads and execution delays. Users upload trade timestamps, and the API returns the exact spread and realistic slippage at that millisecond.
Who It's For
For Retail algorithmic traders, quantitative data scientists
Feature List
✓ Historical tick-level spread querying ✓ Configurable execution delay simulation ✓ Integration plugins for Backtrader and QuantConnect
Where to Validate
Share your landing page in r/r/algotrading — that's exactly where these pain points were discovered.
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Community Voices
Real quotes from Reddit comments that inspired this opportunity
- “Assuming fixed 10bps slippage is also a mistake -- backtest on tick data. I've seen 10bps backtested strats fail precisely because their only trade times are the few times spreads momentarily jump”
- “10bps is not realistic. 20bps is closer to realistic”
- “Common mistake I made in the past was not leaving time between getting the data and execution.”
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