Market Signals Dashboard

Ironbrand's intelligence platform collects and processes enormous amounts of data: on-chain transactions, social sentiment, news events, order flow, macroeconomic indicators, and more. But data alone is not useful if you cannot act on it. The Market Signals Dashboard is where all of this intelligence converges into clear, categorized, and actionable trading signals.

This page explains what signals you receive as an Ironbrand user, how they are generated, how they are delivered, and—critically—how accurate they have been historically. We also cover how to integrate signals into a real trading strategy without treating them as infallible oracles.

Signal Types

Ironbrand classifies signals into four primary categories, each reflecting a different market dynamic. Understanding these categories is essential for using signals effectively, because different signal types require different trading approaches.

1. Momentum Signals

Momentum signals fire when the engine detects that an asset's price trend is strengthening and likely to continue. These signals are generated when multiple momentum indicators align: rising volume confirming the price direction, expanding order book depth on the dominant side, positive (for bullish) or negative (for bearish) funding rates in perpetual futures, and supportive on-chain flows.

A typical bullish momentum signal might look like this:

Momentum signals are the most frequent signal type, accounting for approximately 45% of all signals generated. They tend to have moderate accuracy but strong risk-reward when combined with proper position sizing and stop losses. The key to using momentum signals effectively is to enter early in the momentum phase (when confidence is building) rather than late (when the move is already extended).

Best used for: Trend-following strategies, adding to winning positions, identifying assets with strengthening trends across multiple timeframes.

2. Reversal Signals

Reversal signals indicate that a current trend is likely to change direction. These are generated when the engine detects a combination of exhaustion indicators: declining volume on continued price movement (bearish divergence in an uptrend, or bullish divergence in a downtrend), extreme sentiment readings (extreme greed in an uptrend, extreme fear in a downtrend), on-chain distribution by whales during a rally (or accumulation during a sell-off), and technical exhaustion patterns (extended RSI, Bollinger Band extremes).

Reversal signals are less frequent than momentum signals but carry higher potential reward because they aim to identify turning points. However, they are also inherently riskier: calling a reversal too early means trading against the prevailing trend, which can result in losses if the trend continues longer than expected.

Best used for: Taking profits on existing positions, establishing hedges, contrarian entries with defined risk (tight stops above/below recent extremes).

3. Breakout Signals

Breakout signals fire when an asset's price is approaching or has just broken through a significant level—a horizontal resistance or support zone, a trendline, or the boundary of a consolidation pattern (triangle, range, wedge). The engine validates breakouts by checking for volume confirmation, order book absorption (large resting orders being consumed), and whether on-chain data supports the move.

False breakouts are one of the most common traps in trading, which is why the engine applies multiple validation filters before generating a breakout signal. A breakout with low volume, no order book absorption, and no supportive on-chain data is classified as a "potential false breakout" and either suppressed or flagged with very low confidence.

Best used for: New position entries, scaling into positions on confirmed breaks, setting alerts for assets in consolidation patterns approaching key levels.

4. Divergence Signals

Divergence signals detect when different data sources are sending conflicting messages—a condition that often resolves in a significant move. The most classic divergence is between price and momentum: price makes a new high but RSI or MACD makes a lower high (bearish divergence), or price makes a new low but momentum makes a higher low (bullish divergence).

Ironbrand extends this concept beyond traditional technical divergences to include cross-domain divergences:

• Price vs. On-Chain: Price is rising but exchange inflows are increasing and whale wallets are distributing. This divergence between price action and smart money behavior is often resolved by price catching down to the on-chain reality.
• Price vs. Sentiment: Price is flat or declining but social sentiment is becoming increasingly positive (or vice versa). When sentiment leads price, the divergence can indicate an impending move in the direction of sentiment.
• Cross-Asset: Two historically correlated assets (e.g., BTC and ETH) are diverging in performance. This can indicate a catch-up trade opportunity or a fundamental shift in market structure.
• Derivatives vs. Spot: Perpetual futures funding rates are extremely elevated (indicating heavy speculative positioning) while spot volume is declining. This divergence between speculative and organic demand often resolves in a sharp move (typically against the speculative positioning).

Divergence signals are the least frequent but often the most powerful. They require patience, as divergences can persist for days or even weeks before resolving. However, when they do resolve, the resulting moves tend to be larger and more sustained than those triggered by momentum or breakout signals.

Best used for: Identifying high-conviction setups where multiple data sources disagree, positioning for mean-reversion trades, managing existing positions when divergence warns of potential reversal.

Signal Delivery Channels

A signal is only useful if you receive it in time to act. Ironbrand delivers signals through four channels, each suited to different user needs and workflows:

Dashboard

The primary signal interface within the Ironbrand web platform and mobile app. Signals appear in a real-time feed, sortable and filterable by asset, signal type, confidence level, and time horizon. Each signal is expandable to show full details including key drivers and historical context. The dashboard also displays aggregate statistics: how many signals are currently active, the overall market sentiment reading, and a summary of the day's most significant signals.

Email Alerts

Configurable email notifications for signals matching your criteria. You can set filters by asset (only signals for assets you trade), minimum confidence threshold (e.g., only signals with confidence 70+), signal type (e.g., only breakout and reversal signals), and time horizon. Emails are sent within 60 seconds of signal generation. This channel is best for swing traders who check their positions a few times per day rather than continuously monitoring markets.

Webhook

For users who run their own trading systems, bots, or dashboards, Ironbrand can send signal data as JSON payloads to any URL endpoint you configure. Webhook delivery is near-instantaneous (typically under 2 seconds from signal generation). The payload includes all signal fields: asset, direction, type, confidence, time horizon, key drivers, and timestamps. Webhooks enable integration with custom alerting systems, trading bots, Slack/Telegram channels, or any automation platform.

API

The Ironbrand REST API provides programmatic access to the full signal history and real-time signal stream. The API supports polling (request current active signals) and WebSocket streaming (receive signals as they are generated). This is the channel of choice for algorithmic traders, quantitative funds, and developers building applications on top of Ironbrand's intelligence. API documentation is available at ironbrand.io/api.

Historical Accuracy Metrics

Trust requires transparency. Ironbrand publishes detailed accuracy metrics for all signal types, updated monthly. We define accuracy as: the signal's indicated direction was correct within the specified time horizon. A bullish signal on ETH/USD with a 12-48 hour horizon is "correct" if ETH/USD was higher at any point within that window than it was at the time the signal was generated.

Below are the aggregate accuracy metrics as of the most recent reporting period (February 2026), covering all signals generated in the prior 12 months:

Several important notes on these numbers:

• These are directional accuracy rates, not profit guarantees. A signal can be directionally correct but still result in a losing trade if position sizing or stop placement is poor. Conversely, a 60% accuracy rate can be highly profitable if winners are significantly larger than losers.
• Accuracy varies by asset. Major assets (BTC, ETH, SOL) have higher accuracy than small-cap tokens, because the engine has more data and deeper liquidity to work with.
• Accuracy varies by market regime. During strong trends, momentum and breakout signals outperform. During choppy, range-bound markets, reversal and divergence signals outperform. No single signal type is best in all conditions.
• The confidence score is calibrated. Signals with a confidence score of 80 have been correct approximately 80% of the time (within a few percentage points). Signals with confidence 55 have been correct approximately 55% of the time. If you only trade high-confidence signals, your accuracy improves significantly—but you trade less frequently.
• Past performance does not guarantee future results. Market conditions evolve, and the engine's accuracy in the next 12 months may be higher or lower than the past 12 months. We publish these metrics for transparency, not as a sales guarantee.

Signal Frequency and Volume

The engine generates signals continuously across all monitored assets. The total daily signal volume varies by market conditions:

• Quiet markets (low volatility): 40-80 signals per day across all assets. During these periods, the engine correctly identifies that few high-confidence setups exist and avoids generating noise.
• Normal markets: 100-200 signals per day. A typical mix of momentum, breakout, and divergence signals across 20-40 different assets.
• Volatile markets: 300-500+ signals per day. Major market events trigger a cascade of signals as the engine detects momentum shifts, breakouts, reversals, and divergences across many assets simultaneously.

Users are not expected to act on every signal. The filtering system allows you to narrow the feed to only the signals relevant to your trading: your watchlist assets, your preferred signal types, and your minimum confidence threshold. A typical active trader might configure their dashboard to show only high-confidence signals (75+) on their top 10 assets, resulting in 3-8 actionable signals per day.

How to Build a Trading Strategy Around Signals

Ironbrand signals are designed to be integrated into a trader's own decision-making framework, not to replace it. Here is a practical guide to using signals effectively:

Step 1: Define Your Trading Parameters

Before looking at any signal, know your own constraints. What is your time horizon? (Scalping, day trading, swing trading, position trading.) What assets do you trade? What is your maximum risk per trade? What is your total portfolio risk limit? These parameters should be set independently of any signal system.

Step 2: Filter Signals to Match Your Style

Configure your signal feed to show only signals that match your trading style. If you are a swing trader on a 2-5 day horizon, filter for signals with a time horizon of 1-7 days and ignore sub-hour signals. If you only trade the top 5 assets by market cap, filter out everything else. The goal is to reduce the signal feed to a manageable number of high-relevance alerts.

Step 3: Use Signals as Confirmation, Not Initiation

The highest-probability setups occur when your own analysis aligns with the signal. If you have identified a potential breakout on the ETH chart based on your own technical analysis, and the Ironbrand engine generates a high-confidence breakout signal on ETH at the same time, that convergence is more powerful than either source alone. Conversely, if the engine generates a signal that contradicts your own analysis, treat it as a reason to re-examine your thesis rather than automatically following the signal.

Step 4: Respect the Confidence Score

The confidence score is your guide to position sizing. A high-confidence signal (80+) may warrant a full position. A moderate-confidence signal (60-75) may warrant a half position or a wider stop. A low-confidence signal (below 60) should be treated as informational rather than actionable—it is telling you the data is mixed, and there may not be a clear edge.

Step 5: Always Use Stops

No signal system is right 100% of the time. Even high-confidence signals are wrong approximately 25-30% of the time. Every trade should have a predefined stop-loss level based on the asset's volatility and the technical structure, not based on an arbitrary percentage. A signal tells you direction and confidence. Your risk management tells you how much to risk and where to exit if wrong.

Step 6: Review and Adapt

Ironbrand provides a signal performance dashboard where you can track the outcomes of signals you acted on. Over time, you will notice patterns: certain signal types may work better for your trading style than others. Certain assets may produce more reliable signals. Use this data to refine your filters and improve your personal hit rate.

Free vs. Pro Signal Access

Ironbrand offers two tiers of signal access:

Important Disclaimers

Ironbrand's market signals are informational tools, not financial advice. They are designed to provide data-driven insights that complement your own analysis and trading strategy. Key points to understand:

• No signal system can predict the future with certainty. Our accuracy rates are historical averages and may not reflect future performance.
• Signals do not account for your individual financial situation, risk tolerance, or investment objectives.
• Cryptocurrency trading involves substantial risk of loss. You should never trade with money you cannot afford to lose.
• Signals should be used as one input among many in your decision-making process, not as the sole basis for any trade.
• Ironbrand does not guarantee any specific financial outcome from using our intelligence tools.