Archived — below our codifiability bar

Scalping M1 Robot

Discover an automated M1 scalping robot designed for funding tests, featuring an advanced scaling management system for efficient trade execution.

Published · Archived · Methodology: Technical Indicators

  • Algo score: 70%
  • Discretionary score: 50%

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: Scalping

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: M1 (1-minute) (Inferred from title - not verified from video content)

Why this strategy was archived

M1 scalping robots occupy a specific niche: fully automated systems that trade the 1-minute chart, usually built to pass a proprietary-firm evaluation where drawdown limits matter as much as the entry logic itself. This entry covers Hobbiecode's video "Mi primer robot Scalping M1 para pruebas de fondeo (con gestión de escalado)", a build log of a first automated scalper designed for funding tests, with position scaling treated as part of the system rather than an afterthought.

**Why this entry is archived.** Our extraction scored this video below the codifiability bar. What came back was structural rather than operational: a technical-indicator methodology and an M1 timeframe inferred from the title rather than confirmed against the video's content — with no specific indicators, markets, or parameter values captured, and no entry, exit, or scaling conditions defined precisely enough to reproduce. An entry that would require guesswork to code cannot go into the active catalog, where every rule set has to be automatable as written.

**What it still offers.** The framing is the useful part. Building a scalper *for a funding evaluation* is a different problem from building one for a live account: the rule set has to survive an externally imposed drawdown ceiling, and how you scale size determines whether it does. Watching a developer work through that constraint out loud — in Spanish, as a documented first attempt rather than a finished product — is worth more to most readers than another indicator recipe. For M1 and scalping systems where the full rule set was successfully extracted, see the scalping and automation concept hubs in the active catalog.

Source video

Decoded from: Mi primer robot Scalping M1 para pruebas de fondeo (con gestión de escalado) by Hobbiecode — watch the original

Frequently asked questions

Why is this Scalping M1 Robot entry archived?

Our extraction scored it below the codifiability bar. It captured a general technical-indicator methodology and an M1 timeframe inferred from the title, but no specific indicators, parameters, or entry/exit conditions precise enough to automate without guesswork.

Is the video still worth watching?

Yes, as a build log. It documents the process of developing a first scalping robot aimed at a proprietary-firm funding test, including scaling management — a design constraint most strategy videos ignore entirely. Note that the video is in Spanish.

Why does scaling management matter for prop firm robots?

Funding evaluations impose a hard maximum drawdown, so position sizing stops being a separate risk topic and becomes part of whether the strategy passes at all. Two systems with identical entries can produce opposite outcomes under the same rules depending on how size is scaled.

Where can I find codifiable M1 scalping strategies?

The active catalog and the scalping-oriented concept hubs list decoded video strategies where complete entry, exit, and risk rules were successfully extracted.

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