What is Bitget's Trend-Following Bot?

Upholding the "Trade Smarter" philosophy, Bitget has upgraded its trading bot feature. As part of this upgrade, Bitget has introduced two new quantitative trading bots: the spot trend-following bot and the futures trend-following bot.

1. What is a trend-following bot?

The trend-following bot (formerly named CTA bot, short for "Commodity Trading Advisor") is an automated trading bot that executes trend-based strategies using multiple technical indicators. Its strategy primarily leverages price and volume trends for short-term trading and builds a complete indicator-based trading system. Common approaches include the MACD-based trend-following strategy and the BOLL mean reversion strategy.

Drawing on the experience of our past mature quantitative products, Bitget has introduced an indicator-based trading system to the crypto market through its trading bot platform. This helps users better capture trading opportunities and identify optimal entry points in a highly volatile market.

Simply put, the bot automatically executes indicator-based trading strategies to go long (buy), go short (sell), or take both-directional positions on tokens in pursuit of positive returns. Using a trend-following strategy can eliminate emotional interference and decision-making errors. The trend-following bot will strictly follow preset rules, thereby improving execution efficiency and trading accuracy.

Trend-following AI bot

To lower the barrier for average users to use sophisticated strategies, the Bitget trend-following AI bot automatically backtests recent historical data to determine the optimal parameters suitable for current market conditions. There's no need for users to manually configure complex parameters. Simply select an AI bot, enter the investment amount, and click "Create a bot" to complete the setup. No complicated programming required.

2. Application scenarios of the trend-following bot

The Bitget trend-following bot identifies price trends by tracking MACD, double moving averages, Bollinger Bands, and other signals in real time. The bot detects the emergence of golden crosses or death crosses in a timely manner, allowing it to accurately time trades and place orders according to price trends.

The Bitget trend-following bot currently supports the following indicators:

● MACD: Tracks the MACD indicator in real-time, buying on the golden cross and selling on the death cross. Ideal for markets changing at a rather slow pace.

● Bollinger bands: Combined with the moving average. Goes short when the price crosses above the upper band and goes long when the price crosses below the lower band. Suitable for flat and oscillating markets.

Bitget plans to support more indicators in the future—stay tuned!

3. Key features of the trend-following bot

Key features of trend-following quantitative investments include:

● Mathematical model and algorithm-based: Market analysis and trading decisions are driven by algorithms, eliminating human interference.

● Diversified: Bitget develops different investment strategies for various markets, timeframes, and asset classes to respond to changing market conditions.

● Risk controlled: Risk factors are fully incorporated into the decision-making process, and mechanisms such as stop-loss levels help minimize potential trading risks.

● Automated: The algorithms enable fully automated trading, improving efficiency and accuracy.

● Transparent: All trading decisions and trading records are algorithm-based and transparent, making it easy for investors to monitor and evaluate the effectiveness of their investments.

In addition, transaction costs also play a part in determining the success of a trading strategy. Since trend-following bots trade frequently, the transaction costs can be high. They are also sensitive to volatility and liquidity changes.

● Volatility: Critical to the performance of trend-following bots. Most trend-following bots enter the market only after a trend has persisted for a certain period. Therefore, they perform best in highly volatile markets, which often feature sustained price movements and active trading. Low-volatility markets tend to be calm and present fewer trading opportunities.

● Liquidity: Different trading strategies are subject to different degrees of liquidity. In general, short-term strategies are most affected by liquidity, followed by medium-term strategies, while long-term strategies have a relatively low need for liquidity due to their longer cycle. Liquidity directly affects execution prices and trading costs. For short-term strategies, insufficient liquidity may cause significant slippage, which can substantially erode profits.

Conclusion

During periods of sharp market trend changes, any strategy may fail, and the trend-following bot is no exception. In certain scenarios, it may even incur significant losses. For example, an MACD-based bot that performs well in trending markets may fail in sideways markets, while a BOLL bot is likely to struggle in strongly one-sided markets. In short, every trading bot has its strengths and weaknesses. Users are advised to fully understand the strategy and tools involved and independently evaluate the associated risks before trading.

Disclaimer

The trend-following bot (formerly CTA bot) is a trading tool. The abovementioned information should not be regarded as financial or investment advice provided by Bitget. Returns from trend-following bots may be affected by the volatility of cryptocurrency prices. You can adjust your bot's parameters according to market conditions. By using this tool, you agree to abide by all terms and conditions set by Bitget. Please ensure you fully understand the risks associated with cryptocurrency investment and act with caution. You acknowledge that any investments on Bitget.com reflect your genuine investment intentions and that you fully accept the potential risks and returns associated with those decisions.