A good TradingView signal can do two things: help you catch trades earlier, and become the product other traders pay to use. Most chartists are on the wrong side of both.
They pay for signals instead of owning the logic. They chase 93% backtests without knowing whether the strategy is real. They ask Claude Code for one Pine script, paste errors back ten times, and still end up with an indicator that repaints. Meanwhile, the signal service gets paid every month because it owns the script.
Build Trading Signals with Claude Code shows you how to move to the owner side. First, you build Pine v6 TradingView signals you can test, alert, and trade yourself. Then you learn the second path: publish a free version as proof, put stronger versions behind invite-only access, rent scripts for 30, 90, or 365 days, or sell custom indicators to chartists who still cannot get Claude to compile clean Pine.
Inside, you build 12 assets that make you a more dangerous chartist:
1. A Pine v6 setup that makes Claude read the manual first.
2. Prompts that turn signal ideas into working scripts.
3. Three TradingView indicators you can put on a chart.
4. Four strategies with sizing, stops, exits, and friction.
5. The breakeven stop-loss fix that prevents fake fills.
6. Alerts that carry real trade context.
7. A webhook loop for Claude trade analysis.
8. A checklist for spotting fake 93% backtests.
9. A faster loop for testing more signal ideas.
10. A 15-row Pine gotchas card.
11. Reusable prompts for the next indicator.
12. One published TradingView indicator as proof.
The first money path is your own trading: signals you understand, alerts you control, and backtests you know how to distrust.
The second money path is the asset: build a useful signal, prove it in public, publish the free version, rent the stronger version, and sell custom Pine work to people who still think coding indicators is expensive magic. One hundred $50 rentals is $5,000/month. A custom Pine job can pay more than the book, the TradingView plan, and the Claude subscription combined.
You build the signal, backtest it with real friction, walk it forward, paper trade it, and only then decide whether it belongs on your chart, in your public library, or behind paid access.
