Navigating the diverse financial tools and indicators available on the Schild Vaultaris main hub
Core dashboard and real-time analytics
The Schild Vaultaris platform integrates a centralized dashboard that aggregates data from multiple asset classes. Users access the main hub to view live price feeds, order book depth, and volatility indices side by side. The interface prioritizes low-latency updates, crucial for scalpers and algorithmic traders. Each asset pair displays bid-ask spreads, volume-weighted average price (VWAP), and cumulative delta, enabling quick assessment of market sentiment.
Beyond basic charts, the hub offers customizable watchlists with preset filters for liquidity tiers and spread thresholds. Traders can toggle between candlestick, Heikin-Ashi, and Renko representations. A built-in screener scans over 200 instruments for patterns like divergence or breakout levels, reducing manual screening time.
Leading and lagging indicator suite
Tools include a proprietary momentum oscillator that combines RSI and stochastic calculations into a single composite line. Lagging indicators like MACD and Bollinger Bands are available with adjustable periods. The platform also provides a unique “volume profile” heatmap, showing where large orders cluster during specific timeframes.
Risk management and position sizing calculators
Integrated calculators help determine optimal leverage based on account equity and volatility. The “risk-per-trade” module accepts stop-loss distance and portfolio size, outputting lot size in base currency. A correlation matrix shows pairwise relationships between assets, preventing overexposure to correlated positions. The tool updates in real-time as new data arrives.
For options traders, the hub includes Greeks calculators (delta, gamma, theta, vega) with implied volatility surfaces. Scenario analysis allows testing “what-if” changes in price, time, or volatility. A margin simulator projects collateral requirements for multi-leg strategies, useful for complex spreads.
Sentiment and order flow indicators
The “order flow imbalance” indicator tracks aggressive buying vs selling across major exchanges. Data is normalized to remove wash trading artifacts. A “smart money” index highlights price levels where large institutional blocks were executed, based on tape reading algorithms. These tools provide context that standard technical analysis alone cannot.
Social sentiment aggregation pulls from curated news feeds and trader forums, scoring bullish/bearish bias per asset. The “whale alert” module flags wallet movements exceeding 1% of circulating supply. Combining these with volume analysis helps identify potential reversals before they appear on price charts.
Custom scripting and automation
Advanced users can write scripts using the built-in Pine-like language for custom indicators. The hub supports backtesting with historical tick data spanning five years. Automated alerts trigger via webhook or email when conditions like “RSI below 30 and volume spike” occur. Strategy performance metrics include Sharpe ratio, maximum drawdown, and win rate.
A “strategy marketplace” allows sharing verified scripts with the community. Developers can monetize profitable indicators. The platform sandbox environment tests code against live data without risking capital, essential for debugging before deployment.
FAQ:
How do I access the VWAP indicator on the hub?
Navigate to the “Indicators” dropdown on any chart, select “Volume-Based,” and choose VWAP. You can adjust the period and source (typical price or close).
Can I use the correlation matrix for crypto and forex simultaneously?
Yes. The matrix includes forex, crypto, and commodity pairs. Select up to 10 instruments to view Pearson correlation coefficients for 1-hour to daily timeframes.
What data does the order flow imbalance indicator use?
It uses Level 2 order book snapshots and trade execution data from the hub’s aggregated feed, updated every 100 milliseconds.
Is there a limit to custom script complexity?
Reviews
Marcus K.
The risk calculator saved me from overleveraging during volatile news events. The correlation matrix helped me realize my portfolio was too heavy on correlated altcoins.
Elena R.
Scripting language is intuitive. I built a custom divergence scanner in under an hour. The sandbox mode prevented costly mistakes.
James T.
Order flow imbalance indicator is a game-changer. It flagged a whale sell-off before price dropped 4%. Combined with volume profile, my entries improved significantly.