Pine Script v6: The AI-Assisted Coding RevolutionAI Isn't Replacing Pine Script Developers, It's Creating More of Them
For years, if you wanted custom tools on $TRADINGVIEW, you had two options:
Spend months learning to code, or
Settle for whatever public indicators were available
The era of AI assisted Pine Script changes that. You don't have to choose between "coder" and "trader" anymore, you can be both, with AI as your quiet co‑pilot.
Why Pine Script + AI Is a Big Deal
In the new AI trading era, edge comes from:
Being able to test ideas quickly
Turning those ideas into rules
Automating those rules in a language the platform understands
AI can't give you edge by itself. But it can remove almost all of the friction between the idea in your head and a working NYSE:PINE script on your chart.
Instead of:
Googling syntax
Copy‑pasting random snippets
Debugging mysterious errors at 2am
you can describe your logic in plain language and let AI handle the boilerplate, while you stay in control of the trading logic.
The Modern Pine Script Workflow (AI Edition)
Old workflow:
Learn programming basics from scratch
Read documentation line‑by‑line
Write every line of code yourself
Fix every typo and bug manually
New workflow:
Define the strategy in plain English
Ask AI to draft the first version in Pine Script v6
Review and understand what it wrote
Refine, test, and harden it on your charts
The difference isn't "AI does everything" it's AI accelerates everything . You move from "How do I code this?" to "Is this idea actually good?" much faster.
What AI Is Great At in Pine Script
Syntax and Structure - Getting the small details right:
`indicator()` declarations
`strategy()` settings
Inputs, colors, line styles
Common functions like `ta.sma`, `ta.rsi`, `ta.crossover`
Boilerplate Code - The parts that repeat across almost every script:
Input sections
Plotting logic
Alert conditions
Explaining Code Back to You - You can paste a snippet and ask:
"What does this variable do?"
"Why is this `if` statement here?"
"Can you rewrite this more clearly?"
This is how you learn Pine Script by doing , instead of from a dry textbook.
What AI Is NOT Good At (If You Rely on It Blindly)
Designing Your Edge - AI doesn't know your risk tolerance, timeframe, or style. You still have to define the actual trading idea.
Protecting You From Over‑Optimization Ask it to "improve" a strategy and it may add 20 inputs that look perfect on past data and fail live.
Understanding Market Context - It can code the rules, but it doesn't "feel" what a trend, rotation, or macro regime shift means to you.
Use AI as a smart assistant, not an oracle.
Core Pine Script Concepts You Still Need
Even in the AI era, a few fundamentals are non‑negotiable. Think of them as the alphabet you must know, even if AI writes the sentences:
1. Data Types
float // prices, indicator values
int // bar counts, lengths
bool // conditions (true/false)
string // labels, messages
color // styling
2. Series Logic
Every variable in Pine is a time series . You don't just have `close`, you have `close `, `close `, etc.
close // current bar close
close // previous bar close
high // high from 5 bars ago
3. Built‑In Indicator Functions
You don't need to reinvent moving averages and RSI:
ma = ta.sma(close, 20)
rsi = ta.rsi(close, 14)
longCondition = ta.crossover(close, ma)
If you understand what these do, AI can handle how to wire them together.
A Clean AI‑Assisted Workflow to Build Your Next Indicator
Write the idea in plain language
"I want a trend filter that only shows long signals when price is above a 200‑period MA and volatility is not extreme."
Ask AI for a first draft in Pine Script v6
Specify: overlay or separate pane, inputs you want, and what should be plotted.
Read every line
Use AI as a teacher: "Explain this variable", "Explain this block".
Test on multiple markets and timeframes
Does it behave the way you expect on CRYPTOCAP:FOREX , $CRYPTO, and stocks?
Does it break on higher timeframes or very illiquid symbols?
Iterate, don't chase perfection
Tweak one idea at a time.
Avoid adding endless inputs just to fix old trades.
The Bigger Picture: Coders, Traders, and the AI Era
The old split was:
"Coders" who could build things but didn't trade
"Traders" who had ideas but couldn't code them
In the AI era, that wall disappears. The trader who can:
Describe ideas clearly
Use AI to generate Pine code
Understand enough to test and refine
…gets a massive edge over both pure coders and pure discretionary traders.
You don't need to be perfect. You just need to be dangerous, one well‑tested script at a time.
Your Turn
If you could build one custom tool this month with AI's help, what would it be?
An entry signal? A dashboard? A risk overlay?
Drop your idea below and consider this your sign to finally turn it into code.
Pinescriptv6
PineScript v6: Conditional Expressions from Libraries
I thought it appropriate to make some quick notes on calling conditional expressions from PineScript v6 libraries, seeing as I have recently updated all of my libraries to v6 and most of my function exports output booleans or values that are ultimately derived from other functions that output booleans.
When calling functions in v6 that output booleans or values derived from other functions that output booleans, it is best practice to first declare the function return globally before you use said output as input for anything else.
For example, instead of calling my swing low and uptrend functions (which both return booleans) as part of a broader conditional expression:
//@version=6
indicator('Example Conditional Expression 1')
import theEccentricTrader/PubLibSwing/3 as sw
import theEccentricTrader/PubLibTrend/2 as tr
uptrend = sw.sl() and tr.ut()
plotshape(uptrend)
I would first declare the function returns as global variables and then call the broader conditional expression using said variables:
//@version=6
indicator('Example Conditional Expression 2')
import theEccentricTrader/PubLibSwing/3 as sw
import theEccentricTrader/PubLibTrend/2 as tr
sl = sw.sl()
ut = tr.ut()
uptrend = sl and ut
plotshape(uptrend)
This demonstrates different behaviour from v5, where you could combine functions that output booleans in conditional expressions without error or warning.
The same also applies to functions that output values derived from other functions that output booleans. In the example below, my swing low price and bar index functions output float and integer values, respectively, but these values are derived from the swing low function, which is a function that returns a boolean. So these return values should also be first declared globally for later use, just like the swing low and uptrend functions:
//@version=6
indicator('Example Conditional Expression 3', overlay = true)
import theEccentricTrader/PubLibSwing/3 as sw
import theEccentricTrader/PubLibTrend/2 as tr
sl = sw.sl()
ut = tr.ut()
slp_0 = sw.slp(0)
slpbi_0 = sw.slpbi(0)
slp_1 = sw.slp(1)
slpbi_1 = sw.slpbi(1)
if sl and ut
line.new(slpbi_1, slp_1, slpbi_0, slp_0, color = color.green)

