Ichimoku Cloud, EMA Strategy
Enhance Ichimoku Cloud signals with an EMA filter for refined entry and exit points. This strategy uses the 200 EMA to confirm trend direction.
Published · Updated · Methodology: Technical Indicators
Part of: EMA Strategies
- Methodology: Technical Indicators
- Content type: strategy
Indicators used
- Ichimoku Cloud
- Exponential Moving Average (EMA)
Source video
Decoded from: 80% WIN RATE Simple ChatGPT Working Bot by Trade Tactics — watch the original
Key timestamps:
- 0:00 - Introduction to the bot and its win rate
- 0:12 - Method to get working code from ChatGPT
- 0:20 - Pasting basic Ichimoku Cloud strategy into ChatGPT
- 0:25 - Adding EMA rules for entries
- 0:30 - Results and script availability
Strategy overview
An exponential moving average weights recent prices more heavily than older ones, which is why it is the default choice when a strategy needs a fast, single-line read on direction. What makes this entry unusual is that the EMA is not the subject of the video at all — it is the amendment. The source is a short from Trade Tactics titled "80% WIN RATE Simple ChatGPT Working Bot", and its actual topic is the workflow: how to get compiling, runnable strategy code out of a language model. The Ichimoku Cloud arrives as borrowed material — a basic strategy pulled from TradingView's public script database — and the EMA is what gets bolted on afterwards to give the entries a directional condition.
That sequence is worth noticing, because it inverts how strategies are usually built. Rather than starting from a market idea and writing code to express it, the video starts from someone else's working code and adds the smallest edit that makes it behave differently. The pairing itself is coherent enough on paper: Ichimoku is a self-contained system that already carries its own trend, momentum and support/resistance readings, so a single moving average adds little information but a lot of veto power — it functions as a coarse regime gate layered over an indicator that is otherwise happy to signal in both directions. The video's compressed timeline, from pasting the base strategy to showing results and offering the script, is under a minute end to end.
Two things follow honestly from that. First, the win-rate figure belongs to the video's title, not to any verification on this page — and a win rate on its own says nothing about profitability without the average win-to-loss ratio behind it, or about the data window it was measured on. Second, code that compiles is not the same as code that has an edge: a strategy adapted from a public script inherits every assumption its original author made, including the ones they never wrote down. This page collects the concept and the source rather than a rule-by-rule reconstruction; the value of the short is as a demonstration of how quickly AI tooling now turns a borrowed script into a modified one, which is exactly why the testing step matters more than it used to.
Topics
ichimoku cloud strategy · ema strategy · technical indicators · trading strategy · tradingview strategy · pine script · trend following strategy · ichimoku ema strategy · moving average strategy · trading bot strategy · chart analysis · market trend analysis
Frequently asked questions
Why combine the Ichimoku Cloud with an EMA?
Ichimoku is already a multi-component system covering trend, momentum and dynamic support/resistance, so an added exponential moving average is not there to contribute new information — it acts as a directional filter that restricts which of the cloud's signals are allowed to trigger. In this source, the EMA is added on top of an existing Ichimoku strategy rather than designed alongside it.
Can ChatGPT actually write a working TradingView strategy?
It can produce Pine Script that compiles and runs, which is what this video demonstrates by pasting in an existing Ichimoku strategy and asking for entry rules to be added. Compiling is a low bar, though: the model has no way to know whether the logic reflects a real market edge, and it will happily generate code with lookahead bias, mismatched timeframes or repainting signals that only surface when you inspect the backtest closely.
Should I trust the 80% win rate in the title?
Treat it as a claim made by the video, not as a verified result — nothing on this page substantiates it. Win rate in isolation is also one of the least informative metrics available: a system can win 80% of its trades and still lose money if the losses are large enough, and figures quoted from a short demo rarely specify the instrument, timeframe or date range they came from.
How should I evaluate an AI-generated strategy like this one?
Run it yourself on out-of-sample data before trusting any headline number, and check the full report — payoff ratio, drawdown, trade count — rather than the win rate alone. Strategy Decoder catalogs the concepts and sources behind strategies like this one so you can see what a video is actually proposing before you commit time to testing it on TradingView.
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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