User Guide

2. Member Dashboard Guide

Member Dashboard

Once you have joined Crypto-ML as a free or paid member, you will spend most of your time on the Member Dashboard. This document provides an overview of how to use the Member Dashboard.


The Bitcoin and Ethereum price predictions are the cornerstone of Crypto-ML’s platform. These predictions are generated by our neural networks.

  • Price is predicted both 6 and 12-hours from now.
  • Predictions are updated every 15 minutes.
  • The predictions change automatically on the Member Dashboard.
Crypto-ML 6 hour and 12 hour price predictions

In this example, you can see:

  • Bitcoin price is predicted to drop -4.7% 12 hours from now.
  • Ethereum is predicted to trend up over the next 6 and 12 hours.

Note that the predictions are not meant to be interpreted alone. Please see the interpretation notes below.

► Learn more about our crypto price predictions

Manipulation Detector

In addition to price prediction, Crypto-ML machine learning also identifies when the market is not following traditional patterns. This occurs rarely but can result in huge market movement.

Manipulation detection shows below the price predictions.

2. Member Dashboard Guide 1

We know our machine learning models predict accurately a certain percentage of the time. When the predictions stop tracking with reality, that means the market is behaving differently than it normally does when all of the current conditions are true. When this happens, we no longer have a “normal market.” Instead, we have a “manipulated market.”

The indicators can be read as follows:

  • Gray denotes a normal market. The predictions are expected to be correct.
  • Green denotes bullish manipulation. The market is expected to go up more than predicted.
  • Red denotes bearish manipulation. The market is expected to go down more than predicted.

► Learn more about our manipulation detectors

Interpreting Predictions and Manipulation

By having both the predictions and the manipulation detectors, you can now effectively navigate what our machine learning is telling you.

If you are on our Trader or Auto Trader plan, you will receive trade alerts in accordance with this interpretation.

Positive PredictionNegative Prediction
Normal MarketBullish: Follow PredictionsBearish: Follow Predictions
Bullish ManipulationStrongly BullishBullish
Bearish ManipulationBearishStrongly Bearish

► Learn more about interpreting predictions

Trade Alerts

Crypto-ML will generate trade alerts based on market conditions, predictions, and manipulation detection.

When this occurs, you will see the Member Dashboard section update accordingly.

Crypto-ML Trade Signals


  • Trader members will receive notifications when the trade status changes.
  • Auto Trader members will receive notifications and have trades automatically execute on their behalf.

To understand the difference between the various trading pairs (BTCUSD, ETHUSD, USDBTC, and USDETH), please see Choosing Your Crypto Pair.

► Learn more about trade alerts

Market Index

While Crypto-ML’s other indicators are focused on short-term timeframes and trading, the Market Index is designed to provide a big-picture view of markets to help cryptocurrency investors.

The Market Index uses big data and machine learning techniques to measure market sentiment and determine a score.

  • If the index exceeds +80, a bull cycle may be nearing its peak.
  • If the index goes below -60, a bear cycle may be ending.
Crypto-ML Market Index

► Learn more about the Market Index

Signal Management

The Signal Management section is designed to give some insights into our machine learning models.

2. Member Dashboard Guide 2
  • Goal to Maximize: supervised machine learning models have goals. Here you can see what goal the model is given. In this case, we are either seeking to maximize the quantity of fiat (USD) we hold or to maximize the quantity of crypto (BTC or ETH) we hold.
  • Release: covers the version of the model currently in production. The release is also noted historically on our Trade History.
  • Prediction Model: described the machine learning algorithm type used.
  • R-Squared: at a high level, this describes the percentage of predictions that fall within a standard deviation of reality. In the picture below, the BTC/USD predictions are right 94% of the time within a +/- 0.33% range.
  • Mean Absolute Error: the standard error of the predictions.

R-Squared is our key measure for model effectiveness.

► Learn more about the R-Squared vs Trading Effectiveness

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