Renko Charts Strategy

Decoded Renko chart approach for forex and Apple stock: close-based bricks filter out noise and intrabar volatility, converted to Pine Script.

Published · Updated · Methodology: Technical Indicators

Part of: Renko Charts

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Not explicitly mentioned for trading, but the concept of 'cierre' (close price) is used to avoid rapid variations within a single timeframe [1:55].
  • Markets: Forex, Apple (stocks)

Indicators used

  • Renko Charts

Source video

Decoded from: ✅▶️Estrategia Renko con Python: El Secreto para Identificar Tendencias del Mercado by PythonIA — watch the original

Key timestamps:

  • 0:10 - Introduction to Renko charts strategy
  • 1:00 - How Renko charts avoid market fluctuations and stop-loss triggers
  • 1:40 - Explanation of 'Box size' concept
  • 2:10 - Renko charts for identifying supports and resistances
  • 3:00 - How Renko charts prevent missing opportunities during pullbacks
  • 4:00 - Python implementation using Backtrader library
  • 5:00 - Defining the Renko strategy logic (buy/sell conditions)
  • 6:00 - Backtesting setup with Apple data and commission
  • 7:00 - Review of backtest results and importance of 'size' parameter

Strategy overview

A Renko chart replaces the time axis with price itself: a new brick prints only once price has moved a fixed amount, so quiet stretches produce nothing and directional moves produce clean, uniform runs. What distinguishes this entry is where the treatment comes from — PythonIA, a Spanish-language channel oriented toward algorithmic implementation, presents Renko less as a chart style to read by eye and more as a data transformation to build in code, with the video closing on a Backtrader implementation rather than a trading checklist.

The case the video makes is fundamentally a noise argument. Its early minutes sit on the complaint that pushes most traders toward Renko in the first place: conventional candles register every fluctuation, and those fluctuations are what trigger stops before a move has actually failed. From there it works through how brick-based construction filters that variation out — leaning on closing values rather than every wiggle inside a bar — how the resulting structure makes horizontal support and resistance easier to pick out, and how it changes the experience of sitting through a pullback instead of reading it as a reversal.

Where the video is unusually candid is on the parameter question. It describes the brick size as arbitrary and, almost in the same breath, as the key to the entire strategy — a pairing that puts the burden of validation on the trader rather than on the chart type, since the same instrument will look trending or choppy depending on the value chosen. That is also why the closing section shifts to Python: once one variable governs everything downstream, testing it systematically stops being optional. No rule set has been extracted from this video, so this page catalogs it as a conceptual source on Renko construction rather than as a mechanical setup.

Topics

renko charts strategy · trading strategy · pine script · tradingview strategy · forex strategy · stocks trading strategy · trend identification strategy · price action strategy · technical indicators · swing trading · volatile market strategy · backtrader strategy · renko box size · apple stock strategy

Frequently asked questions

What is a Renko chart?

A Renko chart plots price in fixed-size bricks instead of time-based bars. A new brick appears only when price moves by a set amount in one direction, which means periods of little movement produce no new bricks at all and the chart advances only when price genuinely travels.

What is the 'box size' on a Renko chart and why does it matter so much?

The box size is the amount price must move before a new brick is drawn. It is the single setting that determines how smooth or how responsive the chart appears — a larger value filters more movement but reacts later, a smaller one reacts sooner but reintroduces the noise Renko is meant to remove. The source video is explicit that this value is arbitrary by default and has to be optimized for the instrument being traded.

Can Renko strategies be backtested in Python?

Yes. The source video demonstrates implementing the idea in Python using the Backtrader library, which is a natural fit because Renko bricks have to be constructed from underlying price data before any rule can be applied to them. Strategy Decoder catalogs video-sourced strategies like this one so the underlying concept can be evaluated and tested rather than taken on faith.

Do Renko charts eliminate market noise?

They reduce the visual impact of small fluctuations, but they do not remove risk or lag. A brick only completes after price has already moved the full box distance, so signals arrive with that distance built in, and choosing too small a box size brings the original noise straight back onto the chart.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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