Archived — below our codifiability bar

Double EMA Crossover, ATR Strategy

Discover a Double EMA Crossover and ATR strategy, reportedly achieving an 80% win rate. Learn how this AI-generated bot identifies trends with technical indicat

Published · Archived · Methodology: Technical Indicators

  • Algo score: 70%
  • Discretionary score: 35%

This strategy was decoded from a public trading video but did not clear Strategy Decoder's codifiability bar: the extraction could not pin the rules down precisely enough to be turned into a reviewable specification. It is kept here as a reference post-mortem rather than as a strategy you can trade or backtest.

Part of: Moving Average Crossover

  • Methodology: Technical Indicators
  • Content type: strategy

Indicators mentioned

  • Double EMA Crossover
  • ATR

Why this strategy was archived

A double EMA crossover reads trend direction from two exponential moving averages of different lengths: the signal comes when the faster average crosses the slower one. ATR — Average True Range — measures recent volatility, and is typically paired with a crossover to size stops, scale targets, or filter out signals fired in conditions too quiet or too violent for the entry to hold. This entry decodes Trade Tactics' video "Bing New AI Trading 80% Win Rate", which builds on exactly that pairing: a crossover core for direction, an ATR component for risk.

**Why this entry is archived.** Our extraction recovered the architecture but not the specification. The two indicators are clearly present, and the intent — trend signal plus volatility-aware risk — is legible. What the extractor could not pin down is everything that turns that intent into code: the EMA lengths, whether ATR governs the stop, the target, the position size or the entry filter, the multiple applied to it, and the timeframe or market the combination is meant to run on. Conditions are referenced rather than defined, so any implementation would rest on our guesses instead of the video's rules, and it scored below the codifiability bar we require for the active catalog. Note also that our extraction assesses reproducibility only — it does not evaluate or verify any performance figure a video reports.

**What it still offers.** The template is a sound one, and the video presents it plainly enough to follow: direction from the crossover, risk scaled to current volatility rather than to a fixed point value. That is a structure worth understanding before you commit to any parameter set, and it travels well across instruments. If you want the same pairing with every value specified, the moving-average crossover and volatility concept hubs list decoded entries where the EMA lengths, ATR multiples and exit logic were fully extracted.

Source video

Decoded from: Bing New AI Trading 80% Win Rate by Trade Tactics — watch the original

Key timestamps:

  • 0:00 - Introduction to Bing AI trading bot
  • 0:18 - Strategy components: Double EMA Crossover and ATR for Trend confirmation
  • 0:30 - Backtesting results and live trading claims
  • 0:40 - Script availability in Discord

Frequently asked questions

Why is this Double EMA Crossover and ATR strategy archived?

Our extraction identified the indicators — a double EMA crossover with an ATR component — but not the parameters needed to reproduce the strategy: EMA lengths, the role and multiple of ATR, and the intended timeframe or market. Without those, the rules cannot be coded faithfully, so it scored below our codifiability bar.

What does ATR add to an EMA crossover strategy?

Average True Range measures recent volatility, so it lets a crossover system scale its stops, targets or position size to current market conditions instead of using fixed distances. It is also used as a filter, suppressing signals when volatility is outside a workable range.

Is the video still useful?

As a look at the structure, yes. It lays out the pairing of a directional crossover signal with volatility-based risk, which is a template worth understanding on its own terms before you settle on specific parameters.

Where can I find codifiable EMA crossover strategies?

The moving-average crossover and volatility concept hubs, along with the active catalog, list decoded video strategies where the full entry, exit and risk rules were successfully extracted.

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