• 概述
  • 评论 (1)
  • 评论 (23)
  • 新特性

Universum

Description

Universum EA applies several built-in strategies based on the indirect price dependency search system strengthened by RSI oversold/overbought levels, and is highly adaptable on market conditions. This EA is not a scalping one. The Expert Advisor does not use high-risk trading strategies, like Martingale. Good results are obtained with EURUSD, GBPUSD, USDCHF and USDCAD. The trading robot works with small deposits, does not need any kind of hard setup and is ready to work with multiple symbols and timeframes.


Recommendations

Testing should be performed in Every tick mode at 99.9% of the modeling quality. Timeframe – any. Make sure all the settings are correct before launching the Expert Advisor on a real account. Conduct a test on the quotes having the quality of 99.9% for the last year. Use the broker with the minimum spread and stop levels.


Basic Parameters

  • Window – size of the virtual window for searching direct price dependencies.
  • TradeCorrect – entry correction.
  • PointFiltr – additional filter.
  • TrailingBreakeven – additional breakeven.
  • GRisk – risk.


Strategy Tester Result

Testing along the entire history: from the initial deposit of $100 at Risk= 3! The results displayed on the screenshots are for EURUSD, GBPUSD, USDCHF and USDCAD.


For Customers

Please feel free to contact the author through a private message after your purchase.

b.buzby
1949
2015.04.24 10:16   

Works great in the strategy tester, but not anywhere else, its hopeless, if you want to loose money, buy it

版本 1.6 - 2015.11.10
Added several internal policies. Also, improved algorithms based on the shortcomings of the past.
版本 1.5 - 2015.05.25
Implemented compatibility with ECN and FXCC.
版本 1.4 - 2015.03.27
改善计算很多,检查资金是否充足。并补充场很多,进入永久性很多没有风险。
版本 1.3 - 2015.02.25
Fixed a division by zero error that sometimes occurs.
版本 1.2 - 2015.01.13
Advanced algorithms of heuristic search for entry points. Fixed changing of a strategy from the list of substrategies.
版本 1.1 - 2014.12.02
Fixed agent initialization problem occurred due to low RAM.