How to Use the SageMaster AI Screener to Find Trading Opportunities

Meta description: The SageMaster AI Screener helps you scan markets for conditions that match your strategy. This tutorial shows you how to configure it, interpret results, and connect signals to your bots.

Finding trading opportunities in crypto is a volume problem as much as a skill problem. There are hundreds of tradeable pairs across multiple exchanges. Monitoring them all manually is impossible. That's what a market screener is for — it does the scanning so you can focus on the decisions.

SageMaster's AI Screener goes beyond basic filtering. It combines configurable technical criteria with AI-assisted signal detection to surface conditions that match your defined parameters — across the assets and timeframes you care about.

This tutorial walks through how to use the AI Screener: from setting it up and configuring your criteria, to interpreting what it surfaces and connecting signals to actionable bot strategies.

What is the AI Screener?

The AI Screener is a market analysis tool built into SageMaster. It continuously monitors assets across connected exchanges, scanning for conditions you define — price patterns, technical indicator values, volume changes, or AI-detected signals.

When an asset meets your criteria, the screener surfaces it as an opportunity for your review. You can then investigate further, configure a bot around the signal, or pass on it.

Think of it as a filter: instead of manually watching 200 trading pairs, you define what "interesting" looks like and the screener flags when something matches.

What the Screener Is (and Isn't)

It is: A tool for narrowing your attention to assets that meet criteria you define.

It is not: A trading signal service that tells you what to buy or sell. The screener surfaces conditions — you make the trading decisions.

Getting Started: Opening the AI Screener

1. Log into your SageMaster account
2. In the left sidebar, navigate to AI Screener
3. You'll land on the screener dashboard, which shows your active screening configurations and any recent matches

If this is your first time, the screener will prompt you to create your first screen.

Step 1: Create a New Screen

Click New Screen (or Create Screener) to start a new screening configuration.

Give your screen a descriptive name that reflects what you're looking for:

• "BTC/ETH — Oversold Daily"
• "High Volume Breakout — Top 50 by market cap"
• "Grid Setup Conditions — Sideways Pairs"

Step 2: Define Your Asset Universe

Before setting conditions, define which assets the screener should watch.

Asset Selection Options

• Specific pairs: Manually add individual trading pairs (e.g. BTC/USDT, ETH/USDT, SOL/USDT)
• Top N by market cap: Screen the top 20, 50, or 100 assets by market capitalisation
• Exchange-based: All tradeable pairs on a connected exchange
• Custom list: Upload or build a watchlist of specific assets

Recommendation for beginners: Start with a focused list of 10–20 pairs you're already familiar with. A screener that watches too many assets at once produces too many signals to act on meaningfully.

Exchange and Quote Currency

Select which exchange's data to use, and whether you want to screen BTC/USDT pairs, ETH pairs, or all quote currencies.

Step 3: Configure Your Screening Criteria

This is where you define what conditions the screener looks for. You can use technical indicators, AI signals, price/volume criteria, or a combination.

Technical Indicator Conditions

Common indicators available in the screener:

Adding a condition:

1. Click Add Condition
2. Select the indicator from the dropdown
3. Set the parameter (e.g. RSI period = 14)
4. Set the condition (e.g. "is below", "crosses above")
5. Set the value (e.g. 30)

AI Signal Conditions

The AI Screener also surfaces pattern-based signals that don't map cleanly to single indicators. These include:

• Consolidation detection: The AI identifies assets in a tight range — useful for finding grid bot candidates
• Breakout potential: Patterns suggesting an asset may be building to a directional move
• Trend strength signals: Composite signals about the directional conviction of a move
• Reversal indicators: Conditions that historically precede trend changes (note: not predictive, observational)

To add an AI signal condition:

1. Click Add AI Signal
2. Select the signal type from the list
3. Configure sensitivity (High / Medium / Low) — higher sensitivity returns more matches with lower confidence; lower sensitivity is more selective

Combining Conditions (AND / OR Logic)

You can stack multiple conditions:

• AND: Asset must meet ALL conditions (more selective, fewer results)
• OR: Asset meets ANY condition (broader, more results)

Example — Grid Bot Candidate Screen:

• Condition 1: ATR(14) is above median (volatility present) AND
• Condition 2: AI Consolidation signal is active AND
• Condition 3: Volume is within normal range (not a spike/dump)

Example — Oversold DCA Entry Screen:

• Condition 1: RSI(14) < 35 on daily timeframe AND
• Condition 2: Price is above 200-day moving average (still in long-term uptrend) AND
• Condition 3: Volume is not abnormally low (asset is actively trading)

Step 4: Set Timeframe and Alert Frequency

Timeframe

Select the chart timeframe the conditions should be evaluated on:

• 1H / 4H: Short-term signals, more frequent
• Daily (1D): Medium-term signals, more reliable for most strategies
• Weekly (1W): Long-term signals, fewer results, higher significance

For DCA entry signals, daily or weekly is typically most relevant. For grid bot setup conditions, 4H or daily is common.

Alert Settings

Configure how you want to be notified when an asset matches:

• In-platform notification: Alert appears in your SageMaster dashboard
• Email: Notification sent to your registered email
• Telegram: If you've connected a Telegram bot, alerts go there

Set how often the screener rescans: continuously (every few minutes), hourly, or daily. Continuous or hourly is recommended for technical indicator screens. Daily is sufficient for longer-timeframe signals.

Step 5: Review and Save the Screen

Review your configuration:

• Asset universe: correct scope?
• Conditions: does the combination make logical sense?
• Timeframe: appropriate for the strategy you're screening for?
• Alerts: configured correctly?

Save the screen. It will begin running immediately and will alert you when matches are found.

Step 6: Interpreting Screener Results

When the screener flags an asset, you see:

• The asset and trading pair
• Which conditions were triggered and when
• A chart view showing the conditions on the price history
• AI signal details where applicable

How to Evaluate a Match

A screener match is a starting point for analysis — not a trade instruction. When an asset is flagged:

1. Review the chart context. Does the signal make sense visually? Is the asset actually in the condition the screener identified?
2. Check broader market conditions. Is the wider crypto market in a strong trend that would override your signal? A DCA entry signal during a market-wide crash requires different risk assessment than one in a stable market.
3. Assess the risk/reward. Where would you set a stop loss? What's your target? Does the position size fit your risk tolerance?
4. Decide whether to act. The screener narrows your field of attention — you decide whether to set up a bot or take a position.

Step 7: Connecting Screener Results to Bot Strategies

When you identify a match you want to act on, SageMaster lets you move directly from the screener to bot configuration:

• Grid bot: If the screener flagged a consolidating, volatile asset, click Create Grid Bot from the match detail. The screener pre-populates the trading pair; you configure the range and levels.
• DCA bot: If the screener flagged an oversold condition on an asset you want to accumulate, click Create DCA Bot to set up a scheduled entry.

This workflow — screen, evaluate, deploy — is the core value of having the screener integrated with your bot platform.

Tips for Getting the Most from the AI Screener

Start narrow. One well-configured screen beats five poorly-defined ones. Know what you're looking for before you configure.

Don't over-automate your reaction. The screener surfaces candidates — resist the urge to immediately act on every signal. Evaluate each one.

Adjust sensitivity over time. If you're getting too many false positives, tighten your conditions. Too few results? Broaden the criteria or increase AI signal sensitivity.

Tie screens to specific strategies. Each screen should map to a defined action (e.g. "DCA entry conditions → set up DCA bot"). Don't create generic screens without a clear plan for what to do when they fire.

Review performance periodically. Look back at past signals — did assets flagged by your screen subsequently behave as expected? Use this to refine your criteria.

Summary

• The AI Screener scans your defined asset universe against configurable conditions
• Conditions can include technical indicators, volume criteria, and AI-detected patterns
• Combine conditions with AND/OR logic; configure timeframe and alert frequency
• Screener results are starting points — evaluate each match before deploying capital
• Connect screener results directly to DCA or grid bot setup within SageMaster

The screener doesn't replace judgment — it scales your attention. Instead of watching 200 pairs, you define what matters and review only what qualifies.

This article is for informational and educational purposes only. It does not constitute financial advice. Cryptocurrency and forex trading involves significant risk, including the potential loss of capital. Screener signals do not predict future price movements. Past performance is not indicative of future results. Always conduct your own research before making any trading decisions.

Explore the SageMaster AI Screener →