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Razor Liquidity Gravity Map: Evaluating ShelbyCharts TradingView Indicator

TradingView has published the Razor Liquidity Gravity Map, a closed-source indicator authored by ShelbyCharts, deployed without stated access caps on the platform's Pine Script environment.

Garrett Croft·updated August 01, 2026

Razor Liquidity Gravity Map: Evaluating ShelbyCharts TradingView Indicator

Indicator Specifications

  • Distribution channel: TradingView script library.
  • Source classification: closed-source; underlying calculation logic undisclosed.
  • Licensing terms: unrestricted use; no documented version ceiling.
  • Integration method: direct add-to-chart on supported TradingView plans.
  • Computational footprint: undetermined from public listing; runtime impact not benchmarked.

Liquidity Context

J.P. Morgan's systematic credit trading desk reports that portfolio trading and ETFs are measurably reshaping institutional liquidity sourcing and execution risk management across digitized markets. The Razor Liquidity Gravity Map operates on the same structural premise from a retail-facing layer: resting order pools generate price attraction, and the distance between signal and fill defines slippage on entry and exit. Latency, drawdown, and win rate depend on this proximity.

Pre-Deployment Checklist

1. Confirm chart timeframe aligns with the indicator's intended session window.

2. Validate mapped gravity zones against historical swing highs and swing lows.

3. Cross-reference signal locations with volume profile to filter false positives.

4. Measure average distance between signal trigger and executed fill.

5. Log slippage delta per signal over a minimum 50-trade sample.

6. Disable on tickers where resting order depth falls below threshold.

7. Recalibrate parameters after each earnings cycle or scheduled macro event.

Verdict

Deploy with constraint. Closed-source status removes auditable trail. No documented API limits or platform-specific performance benchmarks accompany the release. Track win rate, drawdown, and slippage per setup before scaling position size; absence of disclosed logic increases reliance on empirical validation.

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