I need tradingview script comparing NQ(Nasdaq Futures) and ES(E_Mini)

Criei um Robô para a venda alta precisão que automatiza a estratégia de correção média de Larry Williams. Possui filtros de tendência seletiva, controle de lote por risco percentual e execução rápida. Compatível com contas Hedge e Netting. Configuração simples e otimizada para mercados de alta volatilidade. *55(16) 993786056

1. IF price forms: - Higher highs + higher lows → TREND = BUY - Lower highs + lower lows → TREND = SELL ELSE → NO TRADE 2. IF: - Trend = BUY - Price retraces to support zone - Bullish engulfing candle forms - TDI green crosses above red (optional) THEN: - Execute BUY 3. IF: - Trend = SELL - Price retraces to resistance - Bearish engulfing forms - TDI confirms THEN: - Execute SELL 4. Risk per trade = 1% of account Lot

Hi, Before ordering, I want to verify the quality of your ICT/SMC logic. Do you have an existing indicator or strategy (your own work) that I can test on TradingView? If yes, please provide: 1. A demo (invite-only script or video) 2. Proof it is NON-repainting (explained clearly) 3. Live or replay demonstration (not static screenshots) Specifically I want to see: * Clean swing structure (no consecutive highs/lows) *

Project Overview ​I am looking for a high-level Algorithmic Trader / Developer to build a sophisticated, fully automated scalping system for the Nasdaq-100 Future (NQ) . The system must integrate institutional order flow logic with market structure analysis. ​The core logic must be written in Python , acting as a central hub that bridges ATAS (as the primary data source for Order Flow) and MetaTrader 5 (as the

Good morning, I have a Gap Fill strategy and a 10 min opening range break strategy that trade on RTH ES Futures data I have been working on that seem to have some bugs while live trading. They have both been coded by ChatGPT so I would like someone that know how to properly code a strategy to go over each to proof and debug them. Would you be able to do this and could you possibly add some context or features that