Data & Analytics

Trailing stop strategies to lock in profits on NSE/BSE equity positions. Covers ATR trail, structure trail, MA trail, chandelier exit, and the recommended hybrid approach. Use when the user asks: "how to trail my stop", "trailing stop for [stock]", "lock in profits", "when to move stop to breakeven", "chandelier exit", "protect my gains", or any question about dynamically adjusting stop-losses as a trade moves in favor.

Systematic chart reading and technical analysis for NSE/BSE Indian equities. Covers trend identification, support/resistance mapping, volume analysis, indicator dashboards, and probabilistic scenario building. Uses Groww MCP for live data and yfinance for history. Use when the user asks to: read a chart, identify trends, find support/resistance levels, check indicators (RSI, MACD, Bollinger, ADX, Stochastic), analyze volume, or build trade scenarios. Triggers on: "what's the trend on [stock]...

Stop-loss placement strategies for NSE/BSE equity trades. Covers structure-based, ATR-based, support/resistance-based, and moving average-based stops with buffer rules and hard limits. Use when the user asks: "where to set stop-loss", "stop-loss for [stock]", "how to protect this trade", "what's a good stop level", "risk management for [position]", or any question about initial stop-loss placement for Indian equity trades.

RSI divergence identification and trading for NSE/BSE equities. Covers regular divergence (reversal signals) and hidden divergence (continuation signals) with confirmation rules. Use when the user asks: "RSI divergence on [stock]", "is there divergence", "bearish/bullish divergence", "momentum divergence", "RSI showing weakness", "hidden divergence", or any question about price vs RSI momentum divergences on Indian equities.

Calculate and evaluate risk-reward ratios for NSE/BSE equity trades. Includes R:R calculation, minimum R:R tables by win rate, trade filtering rules, and multi-target R:R analysis. Use when the user asks: "risk reward for this trade", "is this trade worth it", "R:R ratio", "what's my risk vs reward", "should I take this trade", "expected value of trade", or any question about whether a trade setup justifies the risk.

Calculate optimal position sizes for NSE/BSE equity trades using fixed fractional, ATR-based, and Kelly criterion methods. Includes portfolio constraints and leverage adjustments. Use when the user asks: "how many shares to buy", "position size for [stock]", "how much to invest in [stock]", "calculate lot size", "risk per trade", or any question about how much capital to allocate to a trade. Also triggers on portfolio allocation and leverage sizing questions.

Master orchestrator for Indian NSE/BSE equity trading analysis via Groww broker. Routes to specialized framework skills: technical analysis, position sizing, stop-loss, trailing stops, risk-reward, multi-timeframe, RSI divergence, and Fibonacci trading. Use this skill whenever the user asks to: analyze a stock, check a position, decide buy/sell/hold, plan entries/exits, or do any comprehensive trading analysis for Indian equities. Triggers on: "analyze [stock]", "should I buy/sell [stock]", ...

Multi-timeframe analysis using the 3-screen method for NSE/BSE equities. Higher timeframe sets bias, primary timeframe identifies setup, lower timeframe times the entry. Includes confluence scoring system. Use when the user asks: "what's the weekly trend", "daily vs weekly", "multi-timeframe check", "higher timeframe analysis", "3-screen analysis", "trend on different timeframes", "weekly bias for [stock]", or any question about analyzing a stock across multiple timeframes.

Fibonacci retracement and extension trading for NSE/BSE equities. Covers entry zones using retracement levels, profit targets using extension levels, and confluence zone identification. Use when the user asks: "fib levels for [stock]", "Fibonacci retracement", "fib extensions", "where to enter on pullback", "what are the retracement levels", "golden ratio level", "Fibonacci targets", or any question about Fibonacci-based trading levels for Indian equities.

Build and display Keitaro analytics reports. Campaign, flow, landing, offer, GEO, device breakdowns with ROI/CR/EPC metrics. Use when user says "report", "stats", "analytics", "show me", "what's performing", "what's losing money", "ROI", or asks about performance data.

Auto-optimize Keitaro campaigns: kill losing flows, scale winners, rebalance weights, suggest actions. Use when user says "optimize", "auto-optimize", "kill losers", "scale winners", "rebalance", "what should I pause", or "what should I scale".

Core knowledge for migrating integrations from other platforms (Boomi, Cyclr) to Prismatic Code Native Integrations. Provides the standard integration schema, schema-to-spec mapping, confidence scoring, and migration-aware code generation patterns. Use when the user says "migrate", "convert from Boomi/Cyclr", "parse this export".

This skill should be used when the user needs to analyze a Cyclr export, parse Cyclr JSON files, migrate from Cyclr to Prismatic, convert Cyclr cycles to CNI flows, map Cyclr steps to Prismatic equivalents, or interpret Cyclr connector settings, field mappings, and cycle parameters. Relevant when the user says "analyze Cyclr export", "migrate from Cyclr", "parse Cyclr JSON", "convert Cyclr cycle to Prismatic", or "what does this Cyclr step map to".

This skill should be used when the user needs to analyze a Dell Boomi export, parse Boomi Component XML files, migrate from Boomi to Prismatic, convert Boomi processes to CNI flows, map Boomi shapes to Prismatic equivalents, or interpret Boomi connector settings, transform maps, and process properties. Relevant when the user says "analyze this Boomi export", "migrate from Boomi", "parse Boomi XML", "convert Boomi process to Prismatic", or "what does this Boomi shape map to".

Use when working with structured business data records — orders, invoices, products, or any @type records in .gdl files. Covers: filtering records by field values, aggregating data by region/status/category, cross-referencing between record types, extracting specific fields, or converting GDL data to CSV/JSON. Triggers on: \"show me all orders over X\", \"filter by status\", \"aggregate by region\", business data queries, or direct .gdl file operations. NOT for SQL database queries, .gdls sch...

Swing trading setup — Fibonacci levels, pivots, trend, pullback zones with R:R

Smart Money Concepts analysis — BOS/CHoCH, order blocks, FVGs, liquidity, premium/discount bias

Options chain analysis with Greeks, IV skew, and strategy suggestions

Multi-timeframe momentum read — RSI, MACD, ADX, volume, divergences

Key price levels — support/resistance, order blocks, FVGs, liquidity pools

Multi-timeframe trend + structure confluence check

Quick price-action read — quote, trend, recent bars, immediate context

Data delen en uitwisselen bij Nederlandse overheid: open data, datakwaliteit, data bij de bron, DCAT-AP, basisregistraties, data governance.

Audit a dataset or access rule before it joins an identity-graph build (access rules behave like datasets in NQL and are used interchangeably here). Enumerates failure modes (hub identifiers, high-degree nodes, behaviorally suspicious values, over-connected identifiers, source-specific quirks), tests hypotheses in parallel, quantifies damage by rows / edges / entities, proposes minimal filters ranked by severity, and — when issues are found — returns a validated `CREATE MATERIALIZED VIEW` NQL...