MIG LiquidityEdge Quant Backtest

Explore the MIG LiquidityEdge SMC strategy backtested on NQ futures 1m. Learn entry logic, buffer adjustments, and the 2:1 R:R that yielded a 47.6% return.

Published · Updated · Methodology: SMC

Part of: Volume Analysis

  • Methodology: SMC
  • Content type: strategy
  • Timeframes: 1m
  • Markets: NQ (Nasdaq 100 Futures)

Indicators used

  • MIG LiquidityEdge (Order Flow Style Indicator)

Source video

Decoded from: QUANT TESTING LIQUIDITYEDGE $23,800 PROFIT IN TWO WEEKS by MIG LIQUIDITYEDGE — watch the original

Key timestamps:

  • 0:00 - Introduction to MIG Liquidity Edge
  • 0:30 - Data input and zone check process
  • 0:55 - Python backtest execution and parameter testing
  • 1:30 - Completed results and performance metrics
  • 2:00 - Explanation of aggressive entry and buffer multiplier
  • 2:30 - Details on entry percentage and DOM minimum filter

Strategy overview

Order-flow style tools read the tape rather than the chart: they score activity at price and in the resting book instead of smoothing past bars. This entry is not a general treatment of that idea — it is a vendor demonstrating a Python backtest of its own named indicator on its own channel, where the tool being tested, the test being run and the result being claimed all originate from a single source. That is the honest frame for the page: it is a product demonstration recorded as a quant test, and nothing shown in it is independently reproducible by a viewer who does not hold the indicator.

The more interesting technical question sits in the first two chapters, "Data input and zone check process" and "Python backtest execution". A depth-of-market filter is a live, venue-specific measurement of resting orders — it is a snapshot of a book that standard historical OHLCV data does not preserve, and on a 1-minute chart the state of that book between bar closes is precisely what the filter is meant to react to. So what the backtest actually replayed determines what the result describes: the indicator as it behaves live, or a bar-level proxy of it. The video does not resolve that on screen, and the distinction is the difference between a backtest and an illustration.

The headline, "$23,800 profit in two weeks", is an absolute account-currency figure over a two-week window with no stated account size, trade count, or drawdown — it is a magnitude, not a return, and there is nothing to compare it against. The chapter order compounds this: results land at 1:30, and the entry mode, buffer, entry-percentage and depth-filter discussions all come after, at 2:00 and 2:30. That ordering describes a configured run explained retrospectively rather than a specification fixed in advance and then tested, which is the distinction between a backtest and a parameter search. Two limits apply to this page: no rules were extracted from the source, so it documents the setup as presented rather than a decoded rule set; and the method is inseparable from one proprietary tool, so no part of it is vendor-neutral.

Topics

smc strategy · trading strategy · nq trading strategy · scalping strategy · 1 minute strategy · order flow trading · quant trading · pine script · tradingview strategy · algorithmic trading · futures trading · price action · liquidity strategy · day trading · backtesting strategy

Frequently asked questions

What is MIG LiquidityEdge?

It is a proprietary, order-flow style indicator published by the same channel that produced the source video. It is not a standard or open indicator, so its internals are not publicly specified and its behaviour cannot be verified independently of the vendor.

Can order-flow and depth-of-market signals be backtested accurately?

It is harder than backtesting a bar-based indicator. Depth of market describes resting orders at a specific venue at a specific instant, and that book state is not preserved in ordinary historical price data. A backtest of a depth-filtered signal is only as faithful as the data it replays, which is why the data-input step matters as much as the strategy logic.

Does "$23,800 profit in two weeks" mean the approach works?

No conclusion follows from that number alone. It is an absolute currency amount over a short window, reported by the party that sells the tool, without an account size, a trade count, or a drawdown figure alongside it. Without those, it cannot be expressed as a return or compared with any other result.

What does this page contain?

It documents the source video's framing of the setup — the indicator used, the stated timeframe, and the order in which the video presents its backtest. No entry or exit rules were extracted from this source, so Strategy Decoder does not publish a rule-level breakdown for this entry; treat it as a record of what the video claims rather than a testable specification.

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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