Proof
Case studies
Representative examples of what I build. Replace with real client stories anytime.
OI SpurtsOpen InterestMomentumFeatured
Stock Options scanner and trader
Build an application that uses user defined parameters to find out stocks in future and options section and also shows the option chain and quick trade section.
Real-time
Scan Speed
High
Noise Reduction
Faster
Decision Speed
High
Signal Accuracy
High
Signal Diversity
Real-time
Signal Timeliness
High
Signal Reliability
High
Use of AI
Problem
Finding stocks manually is time consuming and error prone. also it is not scalable. a single app that can find out stocks in future and options section and also shows the option chain and quick trade section.
Approach
Designed a model that uses user defined parameters to find out stocks in future and options section and also shows the option chain and quick trade section.
Implementation
Developed a dark-themed trading UI showing positive and negative stocks with key metrics like LTP, OI change, VWAP, and signal scoring. Added structured grouping for faster decision-making. Integrated with Nifty index Option data. Utilized OpenAI to generate signals for Nifty index Option trades.
Results
Faster opportunity identification, reduced noise, and improved focus on high-probability setups.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
TradingViewIndicatorsSignalsFeatured
TradingView Signal & Trade Management System
Built a visual signal system with entries, targets, and support/resistance levels.
High
Visual Clarity
Reduced
Missed Trades
Improved
Execution Accuracy
Problem
Traders struggle to track entries, targets, and key levels clearly on charts, leading to missed or premature exits.
Approach
Designed a visual overlay system that marks trades, targets, and key levels directly on the chart.
Implementation
Created a TradingView-based indicator with buy/sell signals, T1 targets, exit markers, and PDH/PDL support zones.
Results
Improved trade execution, clearer exits, and better visual decision-making.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
AI SignalOpen InterestMomentumFeatured
OpenAI Signal Generator
Build an application that uses OpenAI to generate trading signals for Nifty index Option trades.
Real-time
Scan Speed
High
Noise Reduction
Faster
Decision Speed
High
Signal Accuracy
High
Signal Diversity
Real-time
Signal Timeliness
High
Signal Reliability
High
Use of AI
Problem
Traders manually generate signals for Nifty index Option trades, leading to inefficient decision-making.
Approach
Designed a model that uses OpenAI to generate trading signals for Nifty index Option trades.
Implementation
Developed a dark-themed trading UI showing positive and negative stocks with key metrics like LTP, OI change, VWAP, and signal scoring. Added structured grouping for faster decision-making. Integrated with Nifty index Option data. Utilized OpenAI to generate signals for Nifty index Option trades.
Results
Faster opportunity identification, reduced noise, and improved focus on high-probability setups.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
Stock ScannerOpen InterestMomentumFeatured
Nifty options scanner and trader
Built a real-time Nifty options scanner and trader based on the strategy defined by the user.
Real-time
Scan Speed
High
Noise Reduction
Faster
Decision Speed
Problem
The strategy defined by the user is not scalable and not efficient when checking the candles manually, resulting in missed opportunities, late entries.
Approach
Designed a automated that checks for the Nifty candles that satisfies the strategy defined by the user and based on that generate the signals for the user. it also has auto trade that executes the trades automatically.
Implementation
Developed a dark-themed trading UI showing positive and negative stocks with key metrics like LTP, OI change, VWAP, and signal scoring. Added structured grouping for faster decision-making.
Results
Faster opportunity identification, reduced noise, and improved focus on high-probability setups.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
NiftyOptions StrategyAnalysisAlgo Trading
Index Analysis & Options Strategy Dashboard
Provided real-time index sentiment and strategy suggestions like Iron Condor.
High
Decision Clarity
Improved
Strategy Accuracy
Reduced
Cognitive Load
Problem
Traders lack a structured way to interpret index conditions and choose the right options strategy.
Approach
Built a system that analyzes index data and outputs clear sentiment and strategy recommendations.
Implementation
Developed a dashboard showing NIFTY LTP, support/resistance, sentiment, and suggested strategies with option chain integration.
Results
Simplified decision-making and improved strategy selection accuracy.
Before
Fragmented tools, slow review, missed limits.
After
Unified panels, structured journaling, clearer decisions.
Next step
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