LH TRADING SYSTEM & LH LEVELS

Discover the LH Trading System, an algorithmic strategy designed for Futures markets. Pass prop firm challenges with real-time algorithmic trading analysis.

Published · Updated · Methodology: Algorithmic

Part of: Market Structure

  • Methodology: Algorithmic
  • Content type: both
  • Markets: FUTUROS, Futures

Indicators used

  • LH TRADING SYSTEM
  • LH LEVELS

Source video

Decoded from: Unknown by Unknown — watch the original

Key timestamps:

  • 0:00 - Introduction to LH Trading System & LH Levels
  • 0:00 - Mention of passing prop firm challenges
  • 0:00 - Contact for algorithm demonstration

Strategy overview

LH TRADING SYSTEM and LH LEVELS are presented as a paired algorithmic package: a signal engine and a levels component that run mechanically rather than being read off the chart by eye. What separates this entry from most in the catalog is that both names are proper nouns — vendor labels, not transformations of price like a moving average or an RSI, whose formulas anyone can look up and reimplement. A name is not a specification, and outside the product there is nothing to reconstruct.

The source material's own outline runs three beats: an introduction to the two components, a mention of passing prop firm challenges, and a closing invitation to get in touch for a demonstration of the algorithm. That arc ends at a conversation, not at a rule. A demonstration shows the output — trades appearing, levels drawn — while leaving the mechanism closed, which is a legitimate commercial choice but a decisive one for anyone trying to evaluate the system from the outside.

The prop firm framing is worth reading carefully too, because it changes what "working" means. An evaluation account is a constraint problem as much as a directional one: daily loss caps, overall drawdown ceilings, consistency requirements and time limits all sit on top of whatever the market does, and a system is judged against that rulebook rather than against the market alone. No rule set was extracted for this entry, and the empty timeframe field is honest rather than incomplete — with a closed package, the parameters belong to the vendor. What can be assessed is the category: systems whose logic cannot be inspected have to be judged on observed behavior over time, on your own terms and account.

Topics

algorithmic trading · futures trading · prop firm challenges · trading strategy · pine script · tradingview strategy · swing trading · automated trading strategy · futures strategy · algorithmic futures strategy

Frequently asked questions

What are the LH Trading System and LH Levels?

They are branded components of a single algorithmic package rather than standard technical indicators. Beyond the names, the source material does not define what they calculate, so this entry treats them as a closed system whose internals are not publicly specified.

Can a proprietary trading algorithm be backtested?

Its results can be measured, but its logic cannot be audited. With a closed system you evaluate the output — the trade sequence it produces on data you did not choose the settings for — instead of reviewing the entry and exit conditions directly, which is a weaker form of verification than an open rule set allows.

Why does this entry not list rules, parameters or a timeframe?

No rule set was extracted from the source, because it presents the system through a demonstration and a contact invitation rather than through its conditions. Strategy Decoder records what a source actually specifies, so fields with no basis in the material are left empty rather than filled with assumptions.

What should I check before using an algorithm for a prop firm challenge?

Start with the firm's own rulebook: whether automated systems and expert advisors are permitted at all, the maximum daily loss and total drawdown, any consistency or minimum-days requirements, and restrictions around news events or specific instruments. A system's behavior has to fit those constraints, not just be profitable in aggregate.

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.

Other versions of this strategy

More decoded strategies