Crypto-ML offers three types of trade alerts and a market index, all based on machine learning models. This page describes the differences and how to best use them.
Managing Notifications
To select which email notifications you'd like to receive, simply head to My Account > Notification Selection.
Guide to turn on web, mobile, and app notifications.
Market Index
Description
The machine learning-based Crypto-ML Market Index provides a quantitative descriptor of the overall market condition, defining whether crypto is currently in a BULL or BEAR market.
Traders may want to reduce risk during bearish conditions, which may mean reducing position sizes and switching to more conservative trading tactics.
Learn more about the Crypto-ML Market Index.
Details
- During bull markets, the probability of successful long trades increases.
- During bear markets, traders should seek to be more conservative.
- The further from 0 the Market Index is, the more extreme market condition is.
- Above +60 and below -60 may indicate a pending reversal.
The Market Index is displayed on the Member Dashboard in the following format:
Trade Alerts
Description
Crypto-ML's machine learning alerts run continuously throughout the day and may issue a trade alert at any time. These trade alerts are based on predictions from machine learning models.
The goal of the Trade Alerts is to maximize your fiat account balance.
Details
Trade alerts are provided to Trader and Auto Trader members (pricing). The following terminology is used:
- OPEN LONG: Buy the cryptocurrency with US Dollar or other fiat.
- CLOSE LONG: Sell the cryptocurrency in exchange for US Dollar or other fiat.
Supported coins: Bitcoin, Bitcoin Cash, and Ethereum.
The Trade Signals are displayed on the Member Dashboard in the following format:
Certain metrics about each Trade Alert are noted on the Member Dashboard. These are updated regularly.
The "Precision" metric refers to the model's R-Squared value when an evaluation is performed against data the model was not trained on. This metric is determined to be the most indicative of the model's trading effectiveness as detailed in this section: Trading Results vs R-Squared.
Trade Strategies
Aggressive Strategy
The trade alerts appended with "-A" follow an aggressive strategy. After a prediction is made, a second model determines whether or not to issue a signal. Aggressive signals are optimized to maximize account value over time.
As such, Aggressive trades tend to be:
- More frequent
- Higher reward
- Higher risk
Crypto supported include:
- BTC-A
- ETH-A
- BCH-A
Conservative Strategy
The trade alerts appended with "-C" follow a conservative strategy. After a prediction is made, a second model determines whether or not to issue a signal. Conservative signals are optimized to maximize win-to-loss ratio.
As such, Conservative trades tend to be:
- Less frequent
- Lower reward
- Lower risk
Crypto supported include:
- BTC-C
Machine Learning Diagram
Read about How Crypto-ML Works.
