Hey traders! The week on GoldenGuru Account 5 is complete — all trades have been reviewed, and fresh stats and analysis are now live on Telegram Inside the post:— updated trading performance— new features from the GoldRiders team— active promo codes Next week, we launch Account 6 — stay tuned so you don’t miss the kickoff! Wishing you a profitable weekend and precision in every trade!

Algorithmic trading is often seen as a solution that removes the emotional element from trading. However, even the most advanced trading bot cannot guarantee protection from losses without a proper risk management system. A profitable strategy can quickly turn into a failure if there are no safeguards in place. In this article, we explore why risk management is essential in automated trading, which aspects can be automated, and what still requires the trader’s attention. Why Automated Systems Still Need Risk Management A trading robot executes predefined rules — nothing more. If no risk controls are included in the code, the bot won’t manage risk for you. Even a small deviation from strategy during high volatility or unexpected market conditions can lead to a chain of losing trades and a blown account. Examples of unprotected risk: Martingale systems that increase lot...

Automated trading doesn't mean giving up control. Even if your robot follows an algorithm precisely, you must regularly monitor its performance to catch deviations, fine-tune the strategy, or prevent potential losses. This article outlines the most important metrics to track, how to interpret reports in trading terminals like MetaTrader, and what to do when results start to decline. Key Metrics for Evaluating a Trading Robot To objectively assess a trading algorithm, focus on these key metrics: Profit and Loss (P/L): The basic indicator showing your net result. Drawdown: The largest drop in equity from a peak. Critical for evaluating risk. Recovery Factor: The ratio of profit to maximum drawdown. The higher, the better. Number of Trades: More trades typically mean better statistical reliability. Win Rate: The percentage of profitable trades—useful when combin...

Algorithmic trading during economic news releases is a powerful yet risky tool. At times of high market volatility, triggered by major data releases, trading bots can deliver substantial profits — provided they're properly configured. This article explains how news-trading bots work, which strategies they use, and what to consider when leveraging volatility in your favor. Key Features of News-Based Trading Bots News bots are built to execute trades during sharp price swings caused by scheduled announcements. These systems must act instantly and with precision, or they risk major losses. Core features of news-trading bots include: Real-time recognition of news events (via calendar or API) Ultra-fast execution of orders (low-latency infrastructure) Precision-timed entry (accurate to milliseconds) Wider stop-loss and take-profit ranges Short timeframes (M1–M5...

Choosing the right timeframe is one of the most important aspects of developing and fine-tuning a trading bot. It determines the frequency of trades, the strategy logic, and even the level of risk. A poorly chosen interval can turn a profitable strategy into a losing one. This article explains how different timeframes affect a bot’s performance and which trading styles are best suited for each. How Timeframes Affect Algorithm Behavior A timeframe defines the time interval that each candlestick or bar represents on the chart. For example, on the M1 chart, each candle reflects one minute; on the D1 — one day. The choice of timeframe impacts: Trade frequency – Lower intervals result in more frequent trades. Market noise – Lower timeframes tend to produce more false signals. Volatility and risk – Higher timeframes involve longer holding periods and deeper drawdowns....

Automated trading doesn’t have to be expensive. With the right approach, you can launch a working bot setup with just $100–200. Here's how to automate your trading operations even with limited resources. What Affects the Cost of Automation price of the trading robot VPS server or cloud hosting broker commissions and spreads platform subscription fees (if any) optimization and strategy testing expenses By choosing free or low-cost tools, traders can significantly cut startup costs. Budget-Friendly Tools for Algo Trading CategoryAvailable OptionsTrading BotOpen-source bots or free versions (see [Open-Source Trading Bots: Pros, Cons, and Where to Download])PlatformMetaTrader 4/5 — free through most brokersVPS HostingBroker promotions or cheap hourly-rate VPS BrokerECN brokers with $0 deposit requirementsDevelopmentFreelancers on a budget ($10–20 for minor ed...

Even a well-designed trading bot doesn’t guarantee consistent profits. The market constantly changes, and without regular optimization, any algorithm can become outdated. To ensure stable income, traders must systematically review and adapt their bots. Why a Trading Bot’s Profitability Drops There are many factors that affect the stability of algorithmic trading: changes in market volatility economic n  ews and events liquidity shifts broker execution issues outdated logic While external market shifts are out of your control, maintaining and adjusting the strategy regularly is your responsibility. Tips to Boost Bot Stability Regular Parameter Optimization. Use built-in testing tools in platforms like MetaTrader 4/5 to adjust entry/exit rules. See How to Backtest a Trading Robot on Historical Data for step-by-step instructions. Limit Drawdowns. Set ...