Technology experience. A clearer way to explore the market.
Built by N Senthil to make NSE technical indicators easier to understand, compare and question.
Meet N Senthil
N Senthil is the developer behind TejTrade AI, bringing more than 23 years of experience in Information Technology and a B.Tech in Information Technology.
His interest in observing stock-market behaviour provides the motivation for this platform: bringing technology and market data together in a way that helps people understand what they are looking at.
TejTrade AI reflects that practical approach. It brings daily stock data, technical calculations and explanations into one place, so visitors can look beyond a single number or label and carry out their own further research.
The market observations that shape the product
- One indicator is only part of the picture. Price, moving averages, RSI and MACD can disagree. The platform explains those differences rather than hiding them behind a single label.
- Change adds context. A saved analysis helps a customer see how the same stock's readings differ from a previous check.
- The observation date matters. A technical snapshot should make its data date and daily-data limitations visible.
- Understanding comes before action. Explanations and learning guides help users interpret the figures and recognise what they cannot establish.
Our approach to AI and data-driven technology
AI-driven technology offers possibilities for organising information, explaining complex ideas and helping people explore data. TejTrade AI takes an explainable approach: the value of a tool should be clear from what it calculates and how it presents the results.
Today's analysis uses technical calculations and rule-based explanations. It combines price data with RSI, MACD and moving averages, highlights conflicting readings, and compares saved customer snapshots. These features do not depend on a validated predictive AI model, and the site does not claim to forecast future prices or guarantee returns.
Our focus is useful automation with transparent methods: less time gathering scattered readings, more context for understanding them, and clear information about their limitations.
What you can explore with TejTrade AI
- Dated technical snapshots for covered NSE stocks.
- Plain-language explanations of indicator agreement and disagreement.
- Private saved-analysis comparisons for signed-in customers with access; the first analysis establishes a baseline.
- Indicator guides and a public sample report to help you understand the service before paying.
- A Feedback & Suggestions form where you can report issues and propose improvements without registering.
Explore first. Register when you are ready.
Try up to five free analyses per browser without an account. To continue, create a free account and purchase 30 days of analysis access for a one-time ₹100 payment. No automatic renewal. Paid access starts after payment capture is confirmed.
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TejTrade AI is built for learning and independent research. Read the methodology below to understand the calculations and their limits.
Data sources and analysis methodology
Price data and freshness
Stock snapshots use Yahoo Finance daily history for NSE symbols, retrieved through the yfinance library over a three-month period. Each stock page shows the latest available observation date. This is not a real-time exchange feed. During trading, the latest daily bar may be incomplete; missing data can prevent a snapshot.
How indicators are calculated
- RSI uses rolling average gains and losses over 14 observations. It may differ from platforms using Wilder's smoothing.
- MACD is the difference between 12- and 26-period exponential moving averages. The displayed value is not a signal-line crossover.
- The dashboard calculates a 20-period simple moving average and 20- and 50-period exponential moving averages.
- Support is the lowest low of the latest 10 observations; resistance is the highest high over those observations. These price extremes do not guarantee future reversals.
What BUY, SELL and confidence mean here
The current BUY/SELL label compares the latest price with its 20-period simple moving average: above it produces BUY; otherwise the code produces SELL. These are rule labels, not personalised trading recommendations.
The confidence score starts at 50. It adds 15 when price exceeds EMA20, adds 15 when MACD is positive, adds 20 when RSI is below 30, and subtracts 15 when RSI is above 70. It is bounded between 1 and 99. This heuristic score is not a probability of profit, measured prediction accuracy, or evidence of a validated AI model.
What trend strength means here
Volatility is the standard deviation of daily percentage price changes over the retrieved history. The current HIGH/MEDIUM/LOW trend-strength label maps lower volatility to HIGH, rather than measuring trend direction or strength with an indicator such as ADX. Volatility below 2% maps to HIGH, below 4% to MEDIUM, and otherwise to LOW. This label should be interpreted with that limitation.
Daily breakout research scenario
The entry and exit section uses only daily bars dated before today in IST, even after market close. It requires at least 21 available bars, and hides levels when the latest completed observation is more than seven calendar days old.
The breakout reference is the highest high of the 20 bars before the observation. Confirmation requires the observation's close to be strictly above that reference. For a confirmed observation, the assumed entry is its close. Otherwise the prior high is a conditional planning assumption, not an executed entry.
ATR14 is the simple mean of 14 true ranges, each the largest of high minus low, absolute high minus preceding close, and absolute low minus preceding close. This differs from Wilder smoothing. Stop reference = assumed entry minus twice ATR14. With R equal to entry minus stop, exit references are entry plus 2R and plus 3R.
These fixed rules have not been validated for profitability. Levels do not account for fees or slippage and do not guarantee fills or outcomes. Changing the actual entry requires recalculation. Daily bars and corporate actions may affect comparisons.
Limitations and further learning
Historical indicators cannot guarantee future outcomes. Data delays, missing observations and different calculation methods can affect results. Review company disclosures and your own research alongside any technical snapshot.