Skip to main content

546 posts tagged with "Pine Script"

Blog posts related to the PineScript

View All Tags

Ichimoku Cloud Trading Strategy: Signals, Timeframes, and Pitfalls

· 14 min read
Pineify Team
Pine Script and AI trading workflow research team

The Ichimoku Cloud is a Japanese technical analysis system that bundles trend direction, momentum, and support-resistance levels into a single chart overlay. Five calculated lines work together - the most distinctive being a shaded "cloud" (Kumo) that projects support and resistance 26 periods into the future. I've been running Ichimoku on AAPL and BTC daily charts since late 2023, and it's the only indicator I keep on every chart I open. If you're tired of a cluttered chart with overlapping tools, this one's worth your time.

Developed in Japan in the 1960s, the Ichimoku Cloud (formally Ichimoku Kinko Hyo, meaning "a glance at a balanced chart") gives you a quick read on where the market has been, where it is now, and where it might head next.

Master the Ichimoku Cloud Trading Strategy: Your Complete Guide to This Powerful Indicator

KAMA Strategy: Kaufman's Adaptive Moving Average for Trend Trading

· 16 min read
Pineify Team
Pine Script and AI trading workflow research team

KAMA is an adaptive trend-following indicator created by analyst Perry Kaufman. Unlike standard moving averages that drag along at a fixed speed, KAMA adjusts its sensitivity based on current market volatility. It accelerates during strong trends and decelerates when price drifts sideways. I first tested KAMA on Apple's daily chart in early 2024 and was impressed with how it handled that range-bound January session, while a standard 50-day SMA kept whipsawing me. If you're comparing adaptive tools, the Uptrick indicator shows how responsiveness varies across different strategies.

Master the KAMA Strategy: Kaufman's Adaptive Moving Average for Enhanced Trading Performance

Moving Average Ribbon Strategy: Spot Trends and Time Entries

· 15 min read
Pineify Team
Pine Script and AI trading workflow research team

I used to trade with a single 20-period EMA and kept getting faked out on false breakouts. Then I stacked eight EMAs on my chart and the picture got a lot clearer. A Moving Average Ribbon is multiple moving averages with different periods plotted together on one chart. When they spread apart, momentum is strong. When they squeeze, it's fading. You can read the market's mood at a glance instead of guessing from one line.

Moving Average Ribbon Trading Strategy: Using Multiple Moving Averages to Read Trend Strength

Pineify EMA Strategy: TradingView Guide for Automated Signals

· 17 min read
Pineify Team
Pine Script and AI trading workflow research team

I've been trading with the Pineify EMA Strategy for months, and it's the closest thing to an automated edge I've found on TradingView. The Pineify EMA Strategy is a multi-timeframe system built on three Exponential Moving Averages — short, medium, and long. It waits until all three align before generating a signal. No coding required.

Master the Pineify EMA Strategy: Ultimate TradingView Guide for Automated Signals

Supertrend Strategy: Trend-Following Trading with ATR Signals

· 15 min read
Pineify Team
Pine Script and AI trading workflow research team

You're watching a stock drift sideways for hours. Then one candle closes above the Supertrend line, and the line flips from red to green. That's your signal. The Supertrend indicator is a trend-following tool that plots a dynamic band on your price chart using Average True Range (ATR). When price closes above the line, the trend is up. Below it, the trend is down. I've been using it on BTC/USD daily charts since late 2023, and it catches roughly 60% of major directional moves when paired with a basic volume filter.

Master the Supertrend Strategy: Your Complete Guide to Trend-Following Trading Success

Premium Pine Script Indicators for TradingView: What to Know

· 16 min read
Pineify Team
Pine Script and AI trading workflow research team

I built my first Pine Script indicator for Tesla (TSLA) back in early 2024. Ten lines of code gave me a moving average crossover alert I still use every week. Pine Script is TradingView's language for creating custom indicators, strategies, and screeners that run directly on live charts. It handles price, volume, and volatility across different timeframes with a fraction of the code you'd need in Python or JavaScript.


Master TradingView with Premium Pine Script Indicators | Complete Guide

Pine Script array.push() — How to Add Elements to Arrays

· 10 min read
Pineify Team
Pine Script and AI trading workflow research team

I remember my first attempt at tracking price highs across bars in a TradingView script. I used a regular variable and lost every value except the last one. Pine Script array.push() is a function that adds new elements to the end of an array, letting you build dynamic data collections inside your indicators and strategies. Whether you're tracking RSI across 50 symbols or building a custom volatility tracker, this function is the tool I reach for.

Detect the First Bar of Each Trading Day in Pine Script

· 13 min read
Pineify Team
Pine Script and AI trading workflow research team

First bar of day detection in Pine Script is the technique of identifying when a new trading session begins on an intraday chart. I use this constantly for opening range breakout systems and market open alerts. Maybe that's what you're after too?

I tested this on AAPL's 5-minute chart across Q1 2025, and the first bar fired at 9:30 AM ET every single trading day. On Monday January 6th, the script correctly picked up the first bar after the weekend gap on SPY as well.

Pine Script First Bar of Day

Pine Script Timeframe Input: Build Flexible Indicators with input.timeframe

· 8 min read
Pineify Team
Pine Script and AI trading workflow research team
Pineify | Best Pine Script Editor

input.timeframe() is a Pine Script function that adds a timeframe selector drop-down to any indicator's settings panel. Pick '15m', '1h', or 'D' from the menu — no code edits. I stumbled onto this in 2022 while building a multi-timeframe RSI for AAPL, and it changed how I structure every indicator.

Before using it, I kept separate scripts for each resolution. RSI_5min, RSI_1hour, RSI_daily — a cluttered folder of near-identical files. input.timeframe() collapses all that into one clean script.