Scalping is one of the most popular strategies for short-term trading, which is based on capitalizing on small price fluctuations over a short period of time. Scalpers make many trades in a day, trying to catch minimal changes in the price of an asset. However, this strategy requires high concentration and responsiveness, which makes it a great field for automation with the help of trading bots. With the help of an automated trading program, it is possible to implement a scalping strategy. It is characterized by analyzing the market in real time, as well as searching for opening and closing deals based on predetermined algorithms aimed at gaining profit from the slightest price movements. Such bots can make dozens, hundreds or even thousands of trades per day, which allows the scalper to automate the entire process and eliminate the human factor that can get in the way. There are many platforms for creating and running trading bots, such as MetaTrader, QuantConnect, 3Commas, Zenbot and others. The platform you choose depends on your goals, experience and preferences. Some platforms allow you to set up ready-made bots without programming, while others require you to write code. The bot must be programmed to use certain technical indicators such as moving averages, RSI or MACD. It is important to set the correct parameters for these indicators so that the bot can effectively identify entry and exit points for trades. In scalping, it is very important to follow strict risk management rules. One unsuccessful entry can lead to large losses if a stop loss is not set. The bot setup should include limits on losses (stop losses) and automatic profit taking (take profits) to minimize risks. A scalping bot should work as fast as possible. An important factor is the delay in order execution (latency). The lower the latency, the higher the chances of successful execution of trades. For this purpose, you can choose servers that are closer to the trading floors or use virtual private servers (VPS), which provide high speed. Before launching a bot on the real market, its strategy should be tested on historical data (backtesting). This allows you to evaluate the bot’s efficiency in different market conditions and prevent possible losses. Backtesting helps to identify how the bot behaves in the past and how its settings can be improved. Scalping can be a highly profitable strategy, but it also carries a high level of risk, especially if losses are not controlled and money management rules are not followed. With the help of a trading bot, many risks can be minimized and greater stability in results can be achieved, but optimization and constant updating of the strategy to suit current market conditions remain the most important.