TradingView-Machine-Learning-GUI
Unverified ML strategy on Multi by TreborNamor. BotFinder score 18 out of 100.
HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.
Source: github
BotFinder analysis pending.
TradingView-Machine-Learning-GUI
HyperView Turn TradingView ideas into testable, terminal-speed trading systems. HyperView is a CLI-first toolkit for downloading TradingView market data, backtesting Python strategies with Pine-like execution behavior, and optimizing parameters in a repeatable workflow. Vietnamese version: README.vi.md Support This Project If you discover a strong strategy using this repo, please consider giving the project a star and forking it to support further development. Pain Points - Manual optimization on TradingView charts is slow, hard to reproduce, and difficult to audit. - Results often diverge between Pine and local scripts because fill assumptions differ. - Data, presets, and reports are scattered across CSVs, notebooks, and ad-hoc scripts. - Multi-strategy and multi-pair research takes too long without a standardized pipeline. Solution - A unified CLI workflow: download -> signal -> backtest -> optimize -> export artifacts. - A TradingView-like backtester (next-bar-open entries + intrabar SL/TP path simulation). - Automatic preset/report/context storage for comparison and reproducible
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Verification ledger
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)