Combine economic analysis with systematic execution through fundamental automation. React to earnings, news and market data automatically across multiple exchanges.
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traders using systematic rules
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Instead of manually reacting to earnings reports or economic releases, you create rules that respond automatically to fundamental catalysts. Fundamental automation bridges the gap between market analysis and systematic trading execution across Binance, Coinbase, Kraken and other exchanges. The system processes news sentiment, earnings surprises and economic indicators to trigger predefined trading actions.
The platform converts events into actionable trading signals. When GDP data exceeds expectations or corporate earnings surprise to the upside, your rules execute immediately without emotional interference. You might set conditions that buy tech stocks after positive earnings or hedge crypto positions during Federal Reserve announcements.
Advanced sentiment processing analyzes news flow and social media to gauge market mood. The engine scores sentiment from -100 to +100 and triggers rules when thresholds are crossed. Positive sentiment above 70 might initiate long positions while negative readings below -30 could trigger defensive moves.
Templates for fundamental signals
Pre-built templates respond to common scenarios like earnings season, Fed meetings and economic releases. You can activate strategies that buy dips after initial negative reactions or take profits when euphoria peaks following positive news.
Economic calendar integration
The system integrates with economic calendars to anticipate high-impact events. Rules can prepare for volatility by adjusting position sizes or implementing protective stops before major announcements.
Buy the Dips
Purchases assets when value exceeds market price by predefined margins. Monitors P/E ratios, book values and cash flow metrics to identify oversold opportunities. Executes systematic accumulation during market overreactions.
Earnings Drift Rider
Captures post-earnings momentum following positive surprises. Enters positions after earnings beats and holds through the typical drift period. Exits when momentum indicators suggest exhaustion or next earnings approach.
News Spike Filter
Filters false breakouts caused by news volatility spikes. Waits for initial reaction to settle before entering positions. Reduces whipsaws by requiring price confirmation beyond news-driven moves.
Funding Rate Hedge
Hedges portfolio exposure based on funding rate extremes in perpetual markets. Goes long when funding rates are extremely negative and short when excessively positive. Captures mean reversion in funding premiums.
Sector Momentum Switcher
Rotates between sectors based on momentum indicators. Tracks earnings revisions, analyst upgrades and economic sensitivity. Switches allocations to sectors showing improving conditions.
Buy the Dips
Purchases assets when value exceeds market price by predefined margins. Monitors P/E ratios, book values and cash flow metrics to identify oversold opportunities. Executes systematic accumulation during market overreactions.
Earnings Drift Rider
Captures post-earnings momentum following positive surprises. Enters positions after earnings beats and holds through the typical drift period. Exits when momentum indicators suggest exhaustion or next earnings approach.
News Spike Filter
Filters false breakouts caused by news volatility spikes. Waits for initial reaction to settle before entering positions. Reduces whipsaws by requiring price confirmation beyond news-driven moves.
Funding Rate Hedge
Hedges portfolio exposure based on funding rate extremes in perpetual markets. Goes long when funding rates are extremely negative and short when excessively positive. Captures mean reversion in funding premiums.
Sector Momentum Switcher
Rotates between sectors based on momentum indicators. Tracks earnings revisions, analyst upgrades and economic sensitivity. Switches allocations to sectors showing improving conditions.
Risk Parity Allocator
Allocates capital based on risk-adjusted scores rather than market cap. Weights positions by volatility-adjusted expected returns from metrics. Rebalances monthly based on changing risk profiles.
Volatility Regime Switcher
Adjusts strategy parameters based on market volatility regimes identified through uncertainty measures. Reduces position sizes during high uncertainty periods and increases exposure during stable conditions.
Market-Neutral Factor Hedge
Maintains market-neutral exposure while capturing factor premiums. Goes long undervalued assets and short overvalued ones based on multiple metrics. Hedges market beta exposure completely.
Calendar Spread Volatility Capture
Exploits volatility differences around scheduled events. Sells short-term volatility and buys longer-term options before earnings or economic releases. Profits from volatility term structure inefficiencies.
Dividend ETF Seasonality
Captures seasonal patterns in dividend-focused ETFs around ex-dividend dates and quarterly distributions. Times entries and exits based on historical dividend capture patterns and tax considerations.
The automation engine processes data across crypto, stocks, ETFs and commodities. For crypto, it tracks on-chain metrics, developer activity and adoption indicators. Stock analysis incorporates earnings quality, management guidance and sector rotation signals. Each asset class has tailored inputs that drive systematic decisions.
Risk controls incorporate factors beyond technical price action. Position sizing adjusts based on uncertainty scores while correlation analysis prevents overexposure to similar themes. The system reduces allocations when indicators suggest elevated risk.
Historical backtesting incorporates years of data to validate strategy performance across different market cycles. You can test how rules would have performed during past earnings seasons, economic recessions and policy changes. Results show both returns and attribution analysis for complete transparency.
The platform combines triggers with technical confirmation signals for higher probability trades. A buy signal might require technical support from RSI oversold conditions or moving average alignment. This dual approach reduces false signals and improves entry timing significantly.
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Marcus K.
Elena R.
Viktor S.
Sofia M.
Chen W.
Priya N.
Build custom scoring models using multiple data inputs weighted according to your analysis framework. The system lets you create composite scores from earnings quality, balance sheet strength, management guidance and industry trends. These custom indicators can trigger trades or adjust position sizing automatically.
Automate sector rotation strategies based on economic cycle analysis and relative strength. Rules can shift allocations from defensive to cyclical sectors when economic indicators improve or rotate into value stocks when metrics suggest oversold conditions across entire sectors.
Create rules that activate around specific events like earnings announcements, FDA approvals or economic policy changes. The system can prepare positions before events, trade the initial reaction or capture post-event drift patterns. Event calendars ensure rules activate at the right times.
Track momentum through earnings revision trends, analyst upgrade/downgrade patterns and guidance changes. Rules can ride positive momentum or fade extreme readings when conditions become disconnected from price action. The system quantifies change rates across multiple indicators.
Leverage relationships between different asset classes like bonds, stocks, commodities and crypto. When analysis suggests dollar strength, rules can automatically hedge international positions or rotate into dollar-denominated assets. Cross-asset signals provide portfolio-level insights.
Access the same analysis tools used by institutional investors including factor models, earnings quality scores and economic sensitivity analysis. The platform democratizes sophisticated analysis by making it accessible through simple rule-based automation that individual traders can understand and implement.
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