After analyzing 50+ crypto exchanges this year, our experts selected the 7 best platforms for trading with bots. This guide highlights automation features, pros and cons, and practical tips for setting up and managing auto trading tools.
Exchange | Ranking | Taker/Maker | Available Crypto | Accepts Fiat | Payment Methods | KYC |
---|---|---|---|---|---|---|
Binance | 4.6 Read Review | 0.1% / 0.1% | 403 | Yes | +1 | Yes |
MEXC | 4.2 Read Review | 0.01% / 0% | 1943 | Yes | +3 | No |
HTX | 3.8 Read Review | 0.2% / 0.2% | 681 | No | +2 | Yes |
Bitget | 4.3 Read Review | 0.1% / 0.1% | 697 | Yes | +2 | Yes |
Gate.io | 4.0 Read Review | 0.1% / 0.1% | 2206 | No | Yes | |
Bybit | 4.6 Read Review | 0.1% / 0.1% | 519 | Yes | +2 | Yes |
BYDFi | 4.0 Read Review | 0.1% / 0.1% | 216 | No | No KYC Required |
Founded in 2017, Binance is the world’s largest crypto exchange and a leader in automated trading tools. It provides a suite of advanced bots, DCA, and copy-trading features within a secure and transparent ecosystem.
Founded in 2018, MEXC is designed for traders who prioritize speed, automation, and access to deep markets. With ultra-low fees, high leverage, and support for thousands of tokens, it’s especially strong for derivatives and automated trading strategies.
Founded in 2013, HTX is a Seychelles-based exchange that offers powerful bot automation directly from the app. It combines advanced copy and derivatives trading with an intuitive interface, making it ideal for managing strategies quickly.
Founded in 2018, Bitget is a crypto derivatives exchange, suited for users looking to automate their trading strategies with minimal manual intervention. Its selection of 12 built-in bots and structured copy trading system makes it a strong option for those interested in auto and passive trading.
Gate.io is aimed at traders interested in automated strategies and broad market access. It has 9 trading bots, including a grid trading bot launched in 2023. It also offers high leverage (up to 125×) on futures and supports 1,600+ cryptocurrencies.
Bybit is ideal for automating recurring crypto purchases using its built-in DCA bot. With 650+ supported tokens, AI-powered tools, and TradingView integration, it caters well to both passive investors and active traders.
BYDFI is a crypto exchange that supports spot, derivatives, and leveraged trading, with a growing focus on automation. It offers over 100 publicly available trading bots, giving users a wide selection of prebuilt strategies to explore and replicate.
Auto trading (short for automated trading) uses software that executes trades on a trader’s behalf based on pre-set rules or algorithms. These crypto trading bots remove emotional decision-making and allow trading to run 24/7 without constant supervision. Auto trading is popular among experienced traders who want to scale their strategies and beginners who prefer to automate proven methods without actively managing the market.
Crypto auto trading can range from simple setups, like stop-loss and take-profit orders, to advanced algorithmic systems that analyze market signals and execute trades in real time.
Manual crypto trading involves making real-time decisions and executing trades yourself, often influenced by emotions and personal experience, whereas automated trading relies on data-driven algorithms and can be an efficient solution for managing multiple positions simultaneously.
Factor | Manual Trading | Automated Trading |
Trade Execution Method | User-initiated via the platform | Bot automatically executes based on a set of rules |
Trade Execution Speed | Slower | Instantaneous |
Market Coverage | Typically limited to one market at a time | Multiple markets simultaneously |
Risk Management Tools | Basic stop-loss/take-profit if manually set | Automated stop-loss, sizing, and limits |
Backtesting and Strategy Optimization | Manual tracking and adjustment | Automated backtesting and tuning |
Multiple open trades | Limited by a user’s time to monitor strategies | Can handle multiple trades at once |
Scalability | Hard to scale beyond a few trades | Easily handles higher volume and capital |
Bot Type | Description | Supported Exchanges |
Rule-Based Bot | Rules-based bots follow predefined strategies like grid trading, scalping, or DCA | Binance, Bybit, HTX, MEXC, Gate.io |
AI/ML Bots | AI enables bots to mimic human decision-making, while Machine Learning lets them learn and improve from data | Bybit, HTX, Bitget, MEXC. |
Automatic copy trading | Allows traders to allocate a set amount of funds and automatically replicate a trader’s trades in real time | Bybit, Bitget, Gate.io |
Signal-Based Bots | Executes trades based on specific market indicators or external signals, like technical analysis triggers, news events, or algorithmic alerts | Binance |
Arbitrage Bots | Exploit price differences across exchanges or trading pairs | Binance, Bybit, HTX, MEXC, Gate.io |
Strategy | What It Does | Market Conditions | Risk Level |
Grid Trading | Sets buy and sell orders at fixed price intervals to profit from volatility | Sideways/volatile markets | Medium |
Dollar-Cost Averaging (DCA) | Automates regular, fixed-amount buys to reduce volatility risk | Long-term investment | Low |
Arbitrage | Buys low on one exchange and sells high on another to capture price differences | High liquidity and capital available | Lower-to-Medium |
Trend following | Uses technical indicators (e.g., moving averages) to ride market trends | Pre-empting market movements | Medium |
Scalping | Executes frequent, small-profit trades in short timeframes | High-frequency traders | High |
Market Making | Continuously quotes both buy and sell prices to profit from bid-ask spread | Highly liquid exchanges | High |
Crypto bots offer speed and automation, making it easier to trade around the clock. However, they also come with risks. Strategies that work well in backtests can fail in real markets, especially during high volatility. If not properly configured, bots may react poorly to sudden price swings.
Other issues include exchange downtime, which can stop your bot from executing trades, and API errors that may cause incorrect orders. There’s also a security risk: if your API keys aren’t protected, your funds could be at risk.
There’s no fixed success rate: results depend on market conditions, strategy, and how well the bot is configured. Most reputable platforms show users earning steady, modest returns over time, not overnight gains.
Even bots claiming 90% win rates may involve higher risk or smaller profits. Many profitable bots actually win around 40-60% of trades, relying on a strong risk/reward setup. Success also depends on factors like fees, slippage, strategy quality, and how often the bot is updated.
Key factors impacting success: Market conditions (trending vs sideways), bot strategy quality, strategy re-optimization frequency, fees, and slippage.
For beginners exploring automated trading, it’s best to start with simple and low-risk strategies. Two popular options are:
To improve results, consider:
All investing involves risk, and markets can change quickly.
Measuring bot performance involves more than checking profit. The following metrics give a clearer picture:
Metric | Formula | Explanation |
Net profit | Total Revenue – Total Costs | Measures total earnings after all expenses are deducted |
ROI | (Net Profit / Investment Cost) × 100 | Measures % return relative to the initial investment cost |
Win rate | (Number of Winning Trades / Total Trades) × 100 | Measures % of trades that ended in profit |
Drawdown | (Peak Balance – Lowest Balance After Peak) / Peak Balance × 100 | Measures largest % drop from a bot’s peak balance |
Trade frequency | Total Number of Trades / Time Period | Measures how often the bot executes trades over time |
Sharpe ratio | (Average Return – Risk-Free Rate) / Standard Deviation of Return |
Measures how much return your bot makes for each unit of risk. Higher = better reward for the volatility risk taken. |
Execution accuracy | (Successful Executions / Total Attempted Executions) × 100 | Measures % of trades executed as intended by the bot |
Callum Kennard is a crypto trader and crypto journalist based in the UK. Active in the industry since 2017, he focuses on long-term holding, swing trading, and market cycles. At FXEmpire, he has written a dozen in-depth crypto exchange reviews and Europe-focused guides.
At FXEmpire, we strive to provide unbiased, thorough, and accurate exchange reviews by industry experts to help our users make smarter financial decisions.