Quotes of the 28 pairs
Economic Calendar
Trends and Counter-trends
Cross-indicators
Index of each pair
Investors Sentiment
Supports in different time frames
To define the set of 40 trading strategies that BCLtd uses, our AI ran 13 years (2007-2019) of out-of-sample backtesting on all forex major currency pairs using deep learning, with more than 100 different features combined, including proprietary mathematical models, different time-frames, technical indicators, currency filters, and economic news. To ensure that this percentage is stable over time, we have tested over 15,000 trades.
More than automation, our algorithm is a multi-layer AI system, integrated with some of the largest forex brokers via API rest and FIX protocol. We use parameters that are constantly optimized to achieve the best returns, Sharpe Ratio and Drawdown. We have a high precaution to avoid overfitting our models to any price data.
We use two main approaches with AI. The first one is a search of maximum return and minimum drawdown using a Multi Objective Particle Swarm Optimization, which can validate our indicators by a walk forward optimization method to simulate and move along the market as it was live trading in order to guarantee what are the best parameters for a certain encoding of indicators
Each of our signals consists of a Currency Pair (Symbol), Direction (Buy or Sell), Volume to Invest (Position Size), Take Profit and Stop Loss, for trading in forex live-trading, specially for retail investors. For live trading, it is necessary that the investor set its amount available and the type of contract used by the broker.
Decisions about the emission of signals are made exclusively by our AI and do not depend on human interaction. Whenever we identify a trading opportunity, our AI also sends real-time alerts by email and Telegram.