Inside TbTrading Portfolio: How I Build My Live Trading Signal

Behind every trading signal is a decision-making process: what to trade, when to enter, when to exit, and how much exposure to accept. In this post, I explain the approach behind TbTrading Portfolio, my personal live trading signal on MetaTrader 5.

The signal follows my own trading account. Through MQL5 and my live YouTube channel, you can follow both the recorded results and the trading activity behind them.

A Portfolio Approach

My strategy development explores several types of market behaviour, including session breakouts, momentum, trend continuation and recurring market patterns.

Examples of this research include opening-range breakouts around the London session in gold, closing momentum in equity indices, and structure-based setups in Bitcoin. These are research areas—not a claim that every approach is currently trading on the signal account. The strategies and instruments used may change over time.

My aim is to combine approaches that complement each other while keeping overall exposure and margin requirements manageable. Different instruments do not automatically provide diversification: several positions can respond to the same market event and lose together.

From a Trading Idea to Defined Rules

Each strategy is built around defined entry and exit rules. This makes its logic testable and its decisions repeatable.

Before optimising a strategy, I want to understand where it fails. Does it depend on a particular market environment? Do trading costs consume its apparent advantage? Does a small change in parameters produce a completely different result?

An attractive historical result is only the beginning. Understanding the assumptions behind that result is an essential part of deciding whether an idea deserves further development.

How I Use MetaTrader 5 and Python

My research combines MetaTrader 5 backtesting with Python-based analysis.

MT5 backtests help examine simulated trade execution. Python supports further analysis, including how results change across market periods and testing assumptions.

The research process includes:

• Multi-year backtesting across different market conditions.
• Trading-cost analysis.
• Out-of-sample checks using data outside the development period.
• Parameter sensitivity testing.
• Evaluation of drawdowns, trade frequency and dependence on particular periods.

These are parts of an ongoing research process. They do not mean that every strategy has passed every validation stage. Backtests help assess an idea, but they cannot establish what future live returns will be.

Managing Risk Across the Portfolio

Individual trades are only part of the picture. I also consider the combined exposure when strategies operate together and the margin they require.

Capital efficiency matters, but it must be considered alongside potential losses. A strategy’s opportunities need to justify the risk and capital it uses.

Combining strategies may spread exposure, but correlations can rise during changing market conditions. Several strategies can experience losses at the same time, so portfolio construction does not remove the possibility of drawdowns.

What the Live Record Shows So Far

As of 8 November 2026, the published account history contains seven trades across USTEC and XAUUSD. This is an early record, and MQL5 explicitly flags that there are too few trades to evaluate trading quality.

That context matters. The account needs time to build a meaningful live history across different market conditions. Research results, historical simulations and actual account performance should be evaluated separately.

The signal page provides the current record, including trading history, account statistics and drawdown. It allows readers to assess how the account develops over time.

Watch Every Trade Live on YouTube

I also run a live YouTube channel that shows all trades from my trading account. During broadcasts, you can follow entries, open positions and exits as they happen.

This gives you a closer look at how the portfolio operates in real market conditions, including losing trades and periods when positions remain open. The broadcasts complement the trading history published on MQL5.

Watch my live trading on YouTube.

Following TbTrading Portfolio

You can review the current trading history, statistics, drawdown and subscription details on the TbTrading Portfolio signal page.

If you choose to copy the signal, your results may differ from mine because of broker conditions, spreads, slippage and copying settings. Review the available history and consider the risks before subscribing.

My focus is on clear rules, careful research and a transparent live record that can be followed over time.

Trading involves the risk of losing capital. Losing trades and drawdowns are part of trading. Past performance, whether live or backtested, does not guarantee future results. No returns are promised or guaranteed.