Double EMA, HMA, RSI, ATR, EMA 200 Strategy

A trend-following Pine Script strategy using Double EMA, HMA, RSI, ATR, and a 200 EMA filter. Ideal for crypto and stocks like Tesla, it enters trades based on

Published · Updated · Methodology: Technical Indicators

Part of: EMA Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Not explicitly mentioned for the strategy, but 3-day and 4-hour mentioned for Wolfpack Pro indicator
  • Markets: Crypto, Ethereum, Tesla (stocks)

Indicators used

  • EMA
  • HMA (Hull Moving Average)
  • RSI
  • ATR

Source video

Decoded from: SECRET TECHNIQUE: Build Your Own Profitable Strategy Using ChatGPT (step by step) by Trade Tactics — watch the original

Key timestamps:

  • 0:29 - Initial prompt to ChatGPT for trading bot ideas
  • 1:00 - Trend following bot concept details
  • 1:45 - Ranging strategy concept details
  • 2:19 - Pivot point strategy concept details
  • 2:50 - Deciding to proceed with trend following strategy
  • 3:10 - Requesting double EMA, volatility filter (ATR), and momentum confirmation (RSI)
  • 3:45 - ChatGPT generates initial Pine Script code
  • 4:20 - Adding script to TradingView and initial settings
  • 5:40 - Requesting HMA instead of EMA, and visualization for flat market (ATR) and RSI zones
  • 7:50 - Changing cross conditions to above/below conditions for more trades
  • 9:00 - Changing position sizing to % of equity for better backtesting
  • 9:30 - Adding slope condition for EMAs/HMAs
  • 11:30 - Adding 200 EMA filter for entry
  • 13:00 - Discussing Wolfpack Pro indicator

Strategy overview

A double EMA setup reads trend from the relationship between a faster and a slower exponential moving average — and that one sentence is most of what this page's namesake concept requires. What makes this entry worth reading is where the pair came from: in Trade Tactics' video, the moving averages are not something spotted on a chart, they are something typed into a prompt.

The sequence is the real subject. The video opens by asking ChatGPT for trading bot ideas (0:29), and the model returns a slate of candidates — a trend-following concept (1:00), a ranging concept (1:45), and a pivot point concept (2:19). At 2:50 the trend-following branch is chosen, and only at 3:10 are the components named: a double EMA core, ATR as a volatility filter, RSI as momentum confirmation. Everything the strategy is arrives in that order — direction first, ingredients second — which inverts the usual path, where a trader observes a market behaviour and then reaches for indicators that describe it. The stack recorded for this strategy (an EMA pair, a Hull moving average pair, RSI, ATR, and a 200 EMA) accumulated by specification rather than by testing: each piece was requested because it plays a familiar role, not because it had earned its place.

Two things are worth holding at arm's length. The title's "SECRET TECHNIQUE" and "Profitable" framing is a claim placed at the front of a workflow whose evidence step comes later, and no timeframe is stated for the strategy itself — the 3-day and 4-hour references in the video attach to a separate indicator being demonstrated, not to this setup. No rule set was extracted from this video, so this page stays with the concept and the build process rather than a decoded breakdown. What transfers is the template — trend core, volatility gate, momentum confirmation — and the obligation to measure it before treating any of it as an edge.

Topics

double ema strategy · hma strategy · rsi strategy · atr indicator · ema 200 strategy · trend following strategy · pine script strategy · tradingview strategy · crypto trading strategy · ethereum trading strategy · tesla stock strategy · technical indicators · trading strategy

Frequently asked questions

What is a double EMA strategy?

It uses two exponential moving averages of different lengths — one faster, one slower — and reads trend direction and turning points from how they sit relative to each other. It is one of the most common building blocks in trend-following systems, which is why it is a frequent starting point when a strategy is being assembled from scratch.

How was this strategy created?

Conversationally. In the source video, ChatGPT is asked for trading bot ideas and returns several concepts — trend following, ranging, and pivot point. The trend-following branch is selected, and the double EMA core, an ATR volatility filter, and RSI momentum confirmation are then requested as components on top of it.

Why combine EMAs with ATR and RSI?

Each element covers a different question. The moving averages define direction, ATR provides a volatility read that can flag flat or unusually quiet conditions, and RSI adds a momentum check before acting on the trend signal. The thresholds chosen for each are what turn this outline into an actual strategy rather than a description.

Should I trade a strategy generated with ChatGPT?

Not on the strength of the conversation alone. A language model can assemble a plausible-sounding combination of indicators in seconds, but plausibility is not performance — backtest it on the market and timeframe you actually trade before committing capital. Strategy Decoder catalogues strategies like this one from video sources so you can see what was proposed and evaluate it on your own terms.

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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