Trading Signals includes a weekly Bitcoin volatility report, a weekly altcoin chart book explaining what is moving and why, and our Trading Signals reports highlighting specific opportunities. In addition, subscribers receive access to our Trading Signals dashboard, which we find particularly valuable for quickly understanding where trends currently stand and how they are evolving across cryptocurrencies, crypto-related equities, and several other assets we have added.

The dashboard is structured into four sections, with the first providing an overview of the most recent trend signals and breakout or breakdown signals triggered, along with key market indicators such as funding rates, trading volumes, and other relevant data points.

With several bullish trend signals likely to be triggered in the coming days, this is a good opportunity to highlight key features of our Trading Signals dashboard. If you do not currently have access to the dashboard, please let us know at [email protected]. Every Trading Signals subscriber should have access and be able to make full use of this tool.

The dashboard is updated daily, typically 1–2 hours after the U.S. market close, and contains extensive information to help investors quickly assess market conditions. While the depth of data is substantial, the key is becoming familiar with how to interpret it efficiently. The dashboard was built to allow users to scan a wide range of indicators within seconds and immediately identify where trends are developing.

Part 1

Part 1 highlights the latest signals across three tables covering cryptocurrencies, crypto-related stocks, and other assets. It also features a focus chart that currently looks particularly promising based on the most recent signal.

This section is designed to be checked daily, allowing investors to quickly identify emerging trends. From there, additional work can be done to assess the fundamental or news-driven factors that could potentially support and extend the trend.

Part 2

Specifically, the dashboard helps investors quickly determine:

a) which assets are trading above or below the 147-day moving average, indicating whether they are in a bullish or bearish cycle trend,
b) which assets are in a confirmed trend signal based on one of our preferred trend-following models,
c) which assets are breaking out or breaking down on a shorter-term basis (4-week timeframe), and
d) which assets are moving through medium-term trend levels (11-week timeframe).

Historically, the 147-day moving average, equivalent to the 21-week moving average, has been one of the clearest indicators of whether Bitcoin is in a bull or bear market. While short-term volatility can occasionally push Bitcoin above or below this level, the key signal comes when the price clearly moves away from this moving average, either to the upside or downside. This framework helps investors maintain perspective on the broader trend, rather than reacting to short-term market noise.

For example, on March 3, all four signals were bearish. The 147-day bull/bear cycle signal had already turned short on October 29, 2025, while the trend signal flipped short earlier on October 10. There was a brief countertrend long signal in between, before the model turned short again on January 20, when Bitcoin was trading at $88,311.

The 4-week breakdown model was recently stopped out of its short position but has not yet triggered a new (buy) signal, leaving it in a “no trade” state. Meanwhile, the 11-week breakdown model continues to indicate a short (bearish) signal.

Importantly, the bull/bear cycle model and shorter-term trend signals can occasionally diverge. Bitcoin may still be in a broader bear cycle, even as a countertrend rally signal is triggered. If that rally gains enough momentum, it can eventually shift the broader cycle signal back into a bullish regime. Taken together, these four models provide a quick snapshot of market conditions, highlighting where trends are strengthening or beginning to change. Given that crypto markets tend to trend strongly, both upward and downward, systematically following these types of models has historically proven effective over the medium to long term.

As mentioned, we generally prioritize the “trend signal” as our preferred indicator, while the 147-day cycle signal helps provide broader market context. In the case of HYPE, the trend signal turned bullish (long @ 32.80) on March 2, and as prices continued to rise, the other models began to trigger in alignment (currently @ 37.80).

The trend “white line” also serves as the stop-loss level, marking the point at which the trend would reverse. Ideally, these signals should not be viewed in isolation but rather combined with fundamental developments, allowing investors to align technical trends with the underlying market narrative.

To provide an easy-to-read overview, we summarize the levels at which each signal was triggered along with the subsequent price performance, which is reflected directly in the table. For example, the HYPE trend signal is currently up 15.4% since the bullish trend signal was triggered, 9.2% since the 4-week breakout signal, and 4.4% since the medium-term 11-week breakout signal.

Different investors prefer different time horizons. Some trade shorter-term signals (such as the 4-week signal), making decisions over days or weeks, while others prefer longer-term frameworks and make only a few portfolio adjustments per year. For those investors, the (147-day) cycle model and the 11-week signals may be more relevant. Ultimately, each investor should focus on the timeframe that best fits their approach, but even when trading shorter-term signals, understanding whether an asset is in a broader bull or bear market remains an important part of the decision process.

Part 3

Part 3 presents a trading framework based on the 4-week and 11-week breakout-and-breakdown models. Most traders prefer to focus on bullish breakout opportunities, but as most altcoins have remained in a bear market, the signals generated over the past four to five months have been predominantly bearish.

For risk management, the model uses the Average True Range (ATR) as a stop-loss mechanism. The ATR measures the typical daily price range (high minus low) over recent trading sessions and is then multiplied by three to establish a realistic stop level that reflects actual intraday volatility. Based on current conditions, this implies stop-loss levels of roughly 6.8% for Bitcoin and 8.1% for Ethereum.

The model also assigns portfolio weights to each position. For example, HYPE recently triggered a long signal with a 6.7% weighting under the 4-week model, while the overall allocation within that model would currently be 11.1% of a fully invested portfolio (predominantly short or at least in cash). In addition to cryptocurrencies, we have extended this framework to include crypto-related equities and several other stocks that subscribers have expressed interest in monitoring.