A collection of various technical indicators implemented in Pine Script for the TradingView platform
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Updated
Dec 2, 2025
A collection of various technical indicators implemented in Pine Script for the TradingView platform
Run Pine Script anywhere. PineTS is an open-source transpiler and runtime that brings Pine Script logic to Node.js and the browser with 1:1 syntax compatibility. Reliably write, port, and run indicators or strategies on your own infrastructure.
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PyneCore - Pine Script Like Python Framework
Just a collection of my personal TradingView strategies and indicators, all in Pine Script.
A collection of advanced TradingView Pine Script indicators designed for smart money concepts (SMC), market structure, RSI strategies, Fibonacci tools, and fair value gaps (FVG).
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[LazyBear] Ehlers Stochastic Oscillator
Quantitative Research & Algorithmic Trading 2025: Comprehensive trading systems including MQL5 Expert Advisors, TradingView Pine Script indicators, Python analytics tools, and self-reviewed research papers on strategy optimization, pattern recognition, orderflow, volume profile analysis, and more. Revolving around Exness Broker
Professional multi-asset trading & Pine Script development MCP server for Claude. Features: 20+ indicators, Pine Script tools (validator, autocomplete, docs, testing), Forex/Stocks/Crypto support
Transpile Pine Script v5/v6 to executable JavaScript with zero dependencies.
Claude Code plugin marketplace for trading indicator development (Pine Script, NinjaScript, Tradovate)
Торговые индикаторы и стратегии на Pine Script (TradingView). Here are my Pine Script (TradingView) trading indicators and strategies.
🛠️ Build a reliable trading assistant for Forex, Stocks, and Crypto with advanced indicators and Pine Script tools for smart trading decisions.
📈 Convert TradingView indicators to ThinkorSwim's ThinkScript for seamless technical analysis compatibility and enhanced trading strategies.
A indicator code to paste in Trading View´s Pine Editor (Pine Script) - shows when to BUY and SELL Bitcoin (BTC) in monthly interval
A quantitative analysis toolkit featuring a Python research lab and a real-time TradingView dashboard for analyzing market equilibrium.
Claude Quant - The Princeton Anomaly | AI-driven systematic futures trading | 2003 Princeton thesis | +54% live (32 days) | +240% CAGR (4yr backtest) | Time-zone arbitrage + VIX-adaptive risk
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