Turn a VWAP Indicator Into a Strategy You Can Backtest
Turn a TradingView indicator built on the day's average price into a strategy you can test on past charts, with fees included.
Write Pine Script from approved rules, fix compiler errors, backtest with real costs and connect data APIs.
51 prompts
Turn a TradingView indicator built on the day's average price into a strategy you can test on past charts, with fees included.
Paste in a TradingView script that won't load and get the smallest fix that works, without changing how your signals behave.
Find out if your TradingView indicator secretly peeks at future prices, which makes its past signals look far better than they were.
Add fees and realistic fill prices to your TradingView strategy, so past results show what you might have kept, not a perfect-world number.
Get a step-by-step plan to test your strategy on data it hasn't seen, so you don't fool yourself with settings that only fit the past.
Make a slow TradingView script load faster without changing a single signal, plus a simple way to prove nothing moved.
Sort out which data your TradingView chart can handle and which needs a small outside script, while keeping your data passwords private.
Get a TradingView alert that pings you once when a stock breaks out of its early-morning range on strong volume, so you can stop chart-watching.
Add a small panel to your chart that shows whether short and long time frames point the same way, using only finished candles.
Clean up a cluttered chart. Find out which indicators repeat each other and which ones never change a decision you make.
Upload a chart screenshot and get a checklist of which setup rules you can actually see are met, and which you're only guessing at.
Build an average-price-for-the-day line that resets when you expect, and learn why your broker's version may show a different number.
Check that a TradingView alert fires once, on the right candle, with clean details, before you hook it up to any other tool.
Find AI trading prompts that real, named traders shared on YouTube, with the link and timestamp, instead of generic AI trading hype videos.
Search Reddit, GitHub and other public sites for AI trading prompts and tools, with exact authors and links so you know who shared what.
Find out which stock data services are free, how much they let you download, and whether they fit your needs, before you build around one.
Before you plug a market data add-on into your AI chatbot, check who built it, where its data comes from and what access you'd hand over.
Turn a messy pile of collected AI prompts into a clean, searchable list with duplicates merged, private keys hidden and every source credited.
Educational only. Not financial advice. AI output can be wrong or out of date, so check every price, date and number against the source before you act.
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