Market Equilibrium Indicator (MEI), Support Resistance Channels/Zones Multi Time Frame

Discover the MEI trading strategy for Crypto, Forex & Stocks. Combines custom Market Equilibrium Indicator signals with multi-timeframe support/resistance zones

Published · Updated · Methodology: Technical Indicators

Part of: Support & Resistance

  • Methodology: Technical Indicators
  • Content type: both
  • Timeframes: 2min, 15min, 1 hour, 4 hour, daily, weekly, monthly
  • Markets: Popcat/USDT, Doge, Ripple, Bitcoin, Forex Options, Crypto, Stocks

Indicators used

  • Market Equilibrium Indicator (MEI)
  • Support Resistance Channels/Zones Multi Time Frame

Source video

Decoded from: 94 % Success Rate With THIS Indicator - No Clickbait, Real Results And Track Record! by The Good, The Bad And The Bitcoin — watch the original

Key timestamps:

  • 0:00 - How to join the beta test for the "Market Equilibrium Indicator"
  • 1:00 - Which pairs am I currently trading and what was the success rate?
  • 2:55 - Examples for good and bad signals from the Market Equilibrium Indicator
  • 4:00 - How to automatically display support and resistance zones from higher time frames
  • 4:40 - Signal Examples from Popcat/USDT
  • 6:20 - Where to place Take Profit & Stop Loss?
  • 7:00 - Why classic Risk Management strategies do not work well on lower time frames
  • 7:30 - How I manage my risk by limiting my position size, scaling into the markets and having a fixed max risk for the day
  • 9:30 - How to take it slow and practise your trading before risking a lot of money!

Strategy overview

Pairing a signal-generating indicator with support and resistance zones pulled from a slower chart is a confluence pattern — one component proposes *when*, the other frames *where* — and this entry is built from exactly that two-part combination. What makes it worth reading carefully is that the two halves sit on opposite sides of a line: the Market Equilibrium Indicator is described by its author as a custom-built tool that merges several approaches into buy/sell labels, with no published internals, while multi-timeframe support/resistance channels are a generic, inspectable overlay anyone can add. The seven timeframes attached to this entry are best read not as a single operating resolution but as donor-and-receiver pairs — the whole function of that second tool is to project a higher timeframe's zones onto a faster one.

That asymmetry is what decides how the video's headline — "94 % Success Rate With THIS Indicator - No Clickbait, Real Results And Track Record!" — can be evaluated. A figure produced by a closed generator can be attested but not independently reproduced: you cannot recompute it without the logic that emitted the signals, so the claim rests on the creator's record-keeping rather than on anything a viewer can rerun. The chapter index makes the distribution question explicit rather than hidden — it opens at 0:00 with how to join the indicator's beta test, and only afterwards moves to which pairs are being traded, examples of good and bad signals, higher-timeframe zone display, and placement of take profit and stop loss.

The scoping deserves the same attention as the number. A success rate quoted for "which pairs am I currently trading" is conditioned on a present-tense, self-selected basket over the beta window, and a hit rate on its own says nothing about expectancy until average win is set against average loss. No rules were extracted from this video, so this page covers the concept and the source's framing rather than a decoded rule set — the ideas here are the confluence structure and the higher-timeframe context layer, both of which you can study and test independently of any one proprietary signal tool.

Topics

market equilibrium indicator · mei strategy · trading strategy · support resistance channels · multi timeframe analysis · crypto trading strategy · forex strategy · stock trading strategy · scalping strategy · 2 min strategy · 15 minute strategy · pine script · tradingview strategy · technical indicators · popcat usdt strategy

Frequently asked questions

What is the Market Equilibrium Indicator (MEI)?

As described in the source video, it is a custom-built TradingView indicator that combines several trading approaches and prints "Buy" or "Sell" signals directly on the chart. Its internal logic is not published, and at the time of the video it was being distributed through a beta test rather than made openly available.

Why display support and resistance from a higher timeframe on a faster chart?

A fast chart only shows local structure. Projecting zones from a slower timeframe puts a short-term signal in the context of levels a much wider set of participants is watching, so the signal supplies the timing and the imported zones supply the location and the obvious places for a level to fail or hold.

How should a claimed success rate like the one in the title be read?

As a claim with a stated numerator and an unstated denominator. The video scopes it to the pairs the creator was trading at that time, over the beta period, without a published trade count or risk per trade — and a win rate alone does not determine profitability until you compare average win size against average loss size.

Can I test a signal-plus-zones setup like this myself?

The multi-timeframe support/resistance layer is a standard, publicly available overlay you can add and backtest on TradingView; a closed signal generator can only be evaluated on data you record yourself once you have access. Strategy Decoder extracts the structure of strategies from video sources so you can evaluate what is actually specified before committing capital.

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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