No. The algorithms are specifically designed to have traffic-signal simplicity. We handle the back-end technology and presentation such that you, as a trader, receive actionable insights that are clear and concise.

This is your decision and each member is responsible for his or her own losses and gains. A general recommendation is to risk no more than you are comfortable losing. Individuals may also consider a portfolio approach with a percentage for holding and a percentage for trading.

Crypto-ML has historically opened an average of 12 trades per year per crypto. It is best to describe Crypto-ML as a "swing" or "position" trading platform. Since the models are continuously optimizing, the frequency of triggers may change.

Trades are open for an average of approximately 23 days. While this will vary, Crypto-ML is not designed to be an intra-day or high-frequency trading system. Crypto-ML seeks to optimize profits, which includes minimizing costs and impacts of latency.

Yes. As traders, it is important to have systems optimized for bull and bear market conditions. Crypto-ML provides long and short trade signals.

Buy-and-hold never locks in profits. So even if trading breaks even with buy-and-hold, trading locks in profits. Though you may have experienced exceptional run-ups by holding, if the markets drop significantly, those profits you experienced were never realized. Trading turns paper into actual profits. In this way, Crypto-ML eliminates the stress of holding.

In addition to capturing profits and reducing stress, Crypto-ML has consistently outperformed buy-and-hold*. See Trade History for full details.

Traditional technical indicators are often generic and not tuned to a particular situation.

Crypto-ML takes input from multiple technical indicators, while also tuning their parameters by trialing countless permutations. This provides an exceptionally high level of sophistication and tuning that is difficult for non-machine learning platforms to achieve.

Yes, some trades may result in losses. However, the average historical gain on winning trades is 12.78% (BTC), whereas the average loss on losing trades is 2.58% (BTC)*. See trade history for the latest figures.

Yes, trade history is here.

Stop losses are important. Crypto-ML provides Stop Loss Guidance.

• If you are on the Trader membership, you would enter your own stop losses when you enter your new trade.
• If you are on the Auto Trader membership, trades will be automatically closed for you.

With the Auto Trade membership, you can use our simple interface to connect your exchange account to Crypto-ML. Then, when Crypto-ML generates a "buy" or "sell" signal, the trade will automatically be initiated in your account. Learn more about Auto Trade.

Algorithmic trading (or "algo trading") simply refers to a systematic way of generating trade signals. While Crypto-ML is systematic, it differs from most algo trading platforms in that Crypto-ML continues to learn, evolve, and adapt.

Learn more about algorithmic trading and machine learning.

Crypto-ML does offer the Auto Trade membership. With this, you can connect your exchange and trades will be made automatically by Crypto-ML. Third-party crypto trading bots may also be connected using our API.