Proof
Case studies in custom trading dashboards, TradingView tools, and NSE options workflows
Representative examples of custom builds across scanners, chart workflows, journaling, and decision-support systems.
FeaturedOI SpurtsOpen Interest
Custom NSE Options Scanner Dashboard with Option Chain and Quick Trade WorkflowBuilt a custom NSE scanner that filters futures and options opportunities based on user-defined parameters, then shows option-chain context and quick trade actions in one screen.
FeaturedTradingViewIndicators
Custom TradingView Alert Automation and Trade Management SystemBuilt a TradingView-based signal and trade management system with entries, targets, exit markers, and support/resistance overlays.
FeaturedAI SignalOpen Interest
AI-Powered Nifty Options Signal Generation DashboardBuilt an AI-assisted Nifty options dashboard that combines live market context with structured signal generation for faster trade review.
OI SpurtsOpen InterestMomentumFeatured
Custom NSE Options Scanner Dashboard with Option Chain and Quick Trade WorkflowBuilt a custom NSE scanner that filters futures and options opportunities based on user-defined parameters, then shows option-chain context and quick trade actions in one screen.
Real-time
Scan Speed
High
Noise Reduction
Faster
Decision Speed
Unified
Execution Context
Problem
Manually scanning futures and options opportunities across multiple tools was slow, inconsistent, and hard to scale during live markets.
Approach
Designed a workflow-specific scanner that ranks opportunities using user-defined filters and keeps option-chain data and execution context visible at decision time.
Implementation
Developed a dark-themed dashboard with LTP, OI change, VWAP, grouped signals, option-chain context, and a quick trade workflow for faster live execution.
Results
Faster opportunity identification, lower noise, and better focus on high-probability setups.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
TradingViewIndicatorsSignalsFeatured
Custom TradingView Alert Automation and Trade Management SystemBuilt a TradingView-based signal and trade management system with entries, targets, exit markers, and support/resistance overlays.
High
Visual Clarity
Reduced
Missed Trades
Improved
Execution Accuracy
Problem
The trader needed a clearer way to track entries, targets, and important levels directly on the chart to avoid missed exits and inconsistent decisions.
Approach
Mapped the strategy into a visual chart workflow so entries, levels, and trade management cues could be read quickly during live market conditions.
Implementation
Created a TradingView indicator with buy and sell signals, target markers, exit overlays, and PDH/PDL support-resistance zones.
Results
Improved trade execution, clearer exits, and more disciplined chart-based decision-making.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
AI SignalOpen InterestMomentumFeatured
AI-Powered Nifty Options Signal Generation DashboardBuilt an AI-assisted Nifty options dashboard that combines live market context with structured signal generation for faster trade review.
Real-time
Scan Speed
High
Noise Reduction
Faster
Decision Speed
Integrated
AI Assistance
Problem
Generating and reviewing Nifty options signals manually was slow and made it harder to compare multiple opportunities consistently.
Approach
Combined market data, ranking logic, and AI-assisted signal generation inside one decision screen to reduce manual interpretation time.
Implementation
Developed a dashboard with LTP, OI change, VWAP, grouped market context, and AI-assisted signal generation for Nifty index options.
Results
Faster signal review, reduced noise, and better focus on high-quality options setups.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
Stock ScannerOpen InterestMomentumFeatured
Real-Time Nifty Options Scanner with Strategy-Based Alerts and Auto Trade SupportBuilt a real-time Nifty options scanner that checks candle conditions against the user’s strategy and generates signals with optional auto-trade support.
Real-time
Scan Speed
High
Noise Reduction
Faster
Decision Speed
Problem
The user’s manual candle-checking workflow was too slow for live markets and caused missed opportunities and late entries.
Approach
Automated the pattern checks and routing logic so the trader could focus on validated signals instead of repeated manual scanning.
Implementation
Developed a structured dashboard that surfaces signals, ranking data, and execution-ready context around a custom Nifty options strategy.
Results
Faster opportunity identification, reduced manual effort, and more consistent execution timing.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
NiftyOptions StrategyAnalysisAlgo Trading
Nifty Index Analysis and Options Strategy DashboardBuilt an index analysis dashboard that shows Nifty sentiment, key levels, and strategy suggestions such as Iron Condor in one workflow.
High
Decision Clarity
Improved
Strategy Accuracy
Reduced
Cognitive Load
Problem
The trader lacked a structured way to interpret index conditions and match them to the right options strategy during fast market moves.
Approach
Designed a strategy-selection workflow that converts index context into clearer directional and non-directional options choices.
Implementation
Developed a dashboard with NIFTY LTP, support and resistance, sentiment signals, option-chain context, and suggested options strategies.
Results
Simplified decision-making and improved confidence in strategy selection.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
Next step
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