Institutional investors and financial firms utilize machine-learning technologies to enhance their trading results.

Individuals, on the other hand, have relied on outdated and speculative technical indicators. These methods have reduced reliability due to human error, emotional inputs, selection bias, lag, and changing market dynamics.

Crypto-ML provides leading-edge technology to individuals, helping to level the playing field.

Crypto-ML uses vast data sets to generate proprietary models for predicting future price movement.

Human error and emotion are eliminated. Triggers are generated and supplied systematically.



Do I need to be an expert on cryptocurrency or trading?
No. The algorithms are specifically designed to have traffic-signal simplicity. You simply need to buy, hold, or sell. This is more about taking advantage of the dramatic swings in cryptocurrency than it is the technology behind them.

How much money should I use to trade?
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.

How often are BUY and SELL triggers generated?
Crypto-ML has historically opened an average of 12 trades per year (24 buy/sell signals). Since the models are continuously optimizing, the frequency of triggers may change.

How long are positions kept open?
In 2016 and 2017, the average trade was open 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.

How is Crypto-ML better than buy-and-hold?
Buy-and-hold never locks in profits. So even if trading breaks even with buy-and-hold, trading locks in your 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 outperformed buy-and-hold gains. See crypto-ml.com for more specifics.

How is Crypto-ML better than traditional technical indicators?
Traditional technical indicators generally provide mediocre results, particularly in hectic markets (like crypto). Additionally, they are subject to interpretation, conflict with other indicators, and lag rather than predict.

Does Crypto-ML trigger losing trades?
Yes, some trades may result in losses. See crypto-ml.com for more specifics.


What factors and data do the Crypto-ML models utilize?
The Crypto-ML models are proprietary and made up of highly-complex data sets and prediction pathways.

How often are the models updated?
The crypto markets undergo constant change and flux. Accordingly, the Crypto-ML models are trained and evaluated every day. Machine learning is a continuous process.

Which cyptocurrencies are modeled?
Bitcoin and Litecoin are available. Bitcoin Cash is in beta (existing models work, but limited historical data exists). New crypto will be added according to demand, statistical evaluation, and governance.

What are the limitations of Crypto-ML?
Any tool used to predict future outcomes relies on past data. Changes in market conditions, including, but not limited to, mirco, macro, and global conditions, may invalidate existing models or cause exceptions for one or more days. Past performance is not an indication of future performance. Crypto-ML is to be used for informational purposes only. Each individual has unique risk tolerances and is responsible for their own investment decisions. Crypto-ML provides no warranties of any kind.