Using TradingView for Watchlists, Trade Tracking, and Research
Summary
The article describes practical TradingView workflows for discretionary and early-stage trading research. The author uses watchlists to monitor macro instruments and track a basket of factor ETFs through a synthetic instrument weighted by units held. A volatility indicator provides a quick estimate for position sizing, while a charted pairs strategy can show signals for manual daily execution. The stock screener can also produce ticker lists for an equity universe or upcoming earnings.
These features help organize monitoring and reduce setup work, but the examples have clear limits. The factor ETF basket traded conveniently at the cost of higher fees and low-turnover implementation. Screener exports are point-in-time snapshots, so they do not provide historical universe membership. The author also cautions that Strategy Tester fill and cost assumptions may be unrealistic, making its pair results useful for an initial glance rather than a substitute for a fuller backtest. The article is partly promotional, but its workflows offer concrete examples of platform use.
Key ideas
- Watchlists can provide a quick overview of selected markets and trading positions.
- A synthetic instrument can track the combined value of multiple holdings using their unit weights.
- Quick volatility estimates can inform approximate position sizing without a separate data workflow.
- Charted signals can support manual execution of a daily pairs strategy.
- Screener exports are point-in-time snapshots, and built-in strategy tests may rely on unrealistic fill and cost assumptions.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.