I made a code in Pinescript I would like to copy in NT8 and add some deltas to it.
It's simple coding, 4 lines of codes, pretty basic ones. What is the delivery time?
Bond chart - ZB value= security("ZN1!*3-ZB1!", timeframe. period, close) period = input(10) bull = value[0] > lowest(nz(value[1]), period) and close[0] < lowest(nz(close[1]), period) bear = value[0] < highest(nz(value[1]), period) and close[0] > highest(nz(close[1]), period) bull1 = BarDelta[0] < MIN(period)[1] bear1 = BarDelta[0] > MAX(period)[1] plot arrows --> This is really the basics. Showing a divergence between price on the chart and custom value. I'm using MAX and MIN in NT8, but something is wrong and therefor not plotting right.
I believe because custom value asset (in this case ZN1!*3-ZB1!). Therefor I need help with this. Let me know
Thanks.
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Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE
Part 1: Project setup Input settings (risk, stop loss, take profit, EMA periods) Indicator initialization Trade management framework Part 2: Trading logic EMA crossover detection Buy/Sell entry rules One-trade-per-symbol check Part 3: Risk management Automatic lot size calculation Stop-loss and take-profit placement Trade execution and error handling Part 4: Final touches On-screen information Optimization
Title Professional AI Automation Trading Bot for Forex & Crypto Solution Language Python (preferred) or MQL5 depending on integration requirements. Categories Expert Advisor (EA) for MetaTrader 5 Automated trading strategies AI/ML-based signal generation Risk management automation Required Skills Strong knowledge of MQL5/Python Experience with MetaTrader API integration Machine learning model deployment
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