Logótipo de "Prop_Firm_Us30"
cBot
Testado no(a) Pepperstone
Versão 1.0, Mar 2026
Windows, Mac, Mobile, Web
1.65
Fator de lucro
7.26%
Decréscimo máx.
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
Imagem carregada de "Prop_Firm_Us30"
115.04M
Volume negociado
8.87K
Pips ganhos

Multi-module automated execution framework for US30 on M5

It combines two internal strategies in one instance:

1. LONDON

A London-range breakout module using Madrid session timing, breakout buffer validation, spread control, monthly directional risk allocation, day-based risk multipliers, and an NY open protection rule for SELL-side filtering.

2. RRL

A separate range-and-breakout execution module with independent BUY and SELL session ranges, dedicated trading windows, monthly directional risk tables, weekday multipliers, Friday neutral/late handling, and selective low-risk confirmation layers.

The protection layer includes:

- hard max drawdown control

- hard max daily loss control

- forced position closing near the end of the New York session

- blocked calendar days

- event-based NewsGuard Lite blocking

- ATR and volume validation for low-risk conditions

- drawdown-based risk scaling

Performance and result interpretation

The historical results shown for this system are based on a 6-year backtest from 01/01/2020 to 31/12/2025 and should be interpreted in the context of dynamic capital allocation.


This strategy uses a compounding-based risk model, meaning position size can increase or decrease as account equity changes over time.

In addition, the system does not apply the same static risk level forever. Risk allocation is recalibrated by period through its internal configuration framework, including monthly directional settings, weekday weighting, and drawdown-based adjustment logic.

As a result, historical returns are not based on a fixed-lot model. They reflect a structured capital progression model in which exposure is periodically renewed and adapted according to the internal risk rules active at that stage.

For transparency:

- the results shown come from a 6-year historical backtest

- performance is based on compounding, not fixed lot size

- exposure can increase during favorable periods

- exposure can be reduced during drawdown phases

- reported results reflect both execution logic and dynamic risk management

This cBot is intended for traders who want structured execution logic with configurable internal controls and a stronger emphasis on risk containment.

Perfil de negociação
Estilo de negociação
Negociação diária
Tipo de estratégia
Quebra
Tipo de análise
Algorítmica
Quantitativa
Frequência das transações
Média
Saldo mínimo recomendado
$1000
Risco por transação
2%
Período do gráfico
5 minutos
Alavancagem dos testes de verificação
1:100
Limite de decréscimo diário
2%
Adequação à regra da empresa de trading proprietário
Gestão de riscos
Modelo de risco
Dinâmico
Baseado no capital
Tipos de ordens suportados
Mercado
Quantidade máx. (lotes)
70
Controlos de risco suportados
Stop loss
Take profit
Stop-loss do capital
Limites diários
Filtro de notícias
Filtro de spread
Filtro de sessões
Limite máx. de decréscimo
0.0
Avaliações: 0
Avaliações de clientes
Ainda não há avaliações para este produto. Já o experimentou? Seja o primeiro a contar a outras pessoas!
Prop
Signal
Breakout
Indices
Supertrend
RSI
SMC
NAS100
ATR
VWAP
Os produtos disponíveis através da cTrader Store, incluindo bots de negociação, indicadores e plugins, são fornecidos por programadores terceiros e são disponibilizados apenas para fins informativos e de acesso técnico. A cTrader Store não é um corretor e não fornece aconselhamento em matéria de investimento, recomendações pessoais ou qualquer garantia de desempenho no futuro.

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