Personal Risk Engine
Enter account size, risk %, entry and stop. Get position size, ₹ risk and R-multiple instantly.
An 8-week, 24-session live program on market structure, derivatives, risk management and AI tools. Build a trading system of your own.
New Batch Starts 12 October 2026
Educational program delivered on ClassPlus. Trading and derivatives involve substantial risk; no profits or returns are guaranteed.
Most traders don’t lack information. They’ve watched the videos, learned the patterns and tried the indicators. What they lack is the structure that turns information into a repeatable decision process.
This program is built around exactly those missing pieces.
Most courses hand you strategies and signals. We teach you to observe the market, turn observations into rules, measure them and build a system you understand.
Akshay has trained 3,000+ students in the stock market. This program is his teaching, rebuilt around AI tools, so you leave with a trading system of your own instead of someone else’s tips.

Founder, Mr Trade & Stocks · Your program mentor
While teaching at one of India’s biggest trading institutes, Akshay saw the same gap again and again: students were taught tips and indicators, but no one took responsibility for making them independent. So he started his own institute, today Mr Trade & Stocks, with just 2 students and one goal: make every student an independent trader who does not depend on tips, calls or screeners.
Word of mouth did the rest. Today Mr Trade & Stocks runs classroom batches in Mumbai and Pune and online batches across India, and has trained 3,000+ students. This AI program is the next step of that same teaching.
Before joining, I struggled with intraday losses. Mudrank helped me master technical analysis and trading psychology. Now I execute trades with discipline.
I joined the advanced trading strategies course and the mentorship completely changed my approach. From chart patterns to risk management, it made me a confident trader.
Thanks to Mudrank, I cleared my NISM certification and got placed in a reputed finance company. The combination of theory and live practice is unmatched.
Every phase ends with something you’ve built and can keep using, not just notes you’ve taken.
Enter account size, risk %, entry and stop. Get position size, ₹ risk and R-multiple instantly.
Mark swings, trends, ranges and structural breaks the same way every time.
Score context, structure, location, liquidity and risk before you act, reducing guesswork.
Classify conditions as trending, ranging, expanding or compressing, because the same setup behaves differently in each.
An educational view of spot, futures, OI, change in OI, IV and key strikes, organised for interpretation.
Workflows for research, journaling, scenario analysis and the AI Red-Team Trader that challenges your thesis.
Everything you’ve built, assembled into one documented system: your rules, your risk, your data, your review process.
Three live sessions a week. Tap a week to see its sessions, project and outcome.
Trading vs investing vs gambling, probability over prediction, why outcomes alone don’t judge a trade, leverage, costs, slippage, drawdowns and writing your first personal rules.
Risk per trade, position sizing, stop-loss maths, risk/reward, expectancy, losing streaks, recovery maths and the concept of risk of ruin.
Build a tool that turns account size, max risk %, entry, stop and target into ₹ risk, position size, reward, R:R and R-multiple.
Swing highs and lows, HH/HL/LH/LL, trend vs range, expansion, correction, structural breaks and failed breaks.
Previous day/week highs and lows, equal highs/lows, sweeps, false breakouts, reclaims, rejections and trapped participants. Framework: Liquidity → Reaction → Structure → Confirmation.
Use AI to organise your own chart observations into context, levels, scenarios, invalidations and questions to verify manually against real data.
Higher timeframe for context, middle for structure, execution timeframe for trigger.
Impulse, pullback, continuation, reversal, compression, expansion and breakouts, then converting an observation into a rule: context → liquidity event → structural change → retest → confirmation → defined risk → execution.
A checklist that scores context, structure, location, liquidity, volatility, confirmation, R:R and invalidation, to make decisions less subjective. The score is a discipline tool, not a profitability predictor.
Moving averages, RSI, MACD, ATR, Bollinger Bands, volume and VWAP, taught as information sources, with their lag, redundancy and false confirmations.
Relative volume, VWAP, ATR, historical and implied volatility, expansion vs compression, and how market regime changes the behaviour of the same setup.
Build a framework that classifies conditions as trending, ranging, high/low volatility, expansion or compression.
Calls, puts, premium, intrinsic and time value, expiry, moneyness, margin and leverage, with risk management at the centre.
OI, change in OI, volume, strike distribution, put/call information, OI concentration, price + OI relationships and expiry positioning. Learning to read data, not hunting for “which strike to buy”.
An educational analytics dashboard: spot, futures, OI, change in OI, volume, IV, key strikes, expiry and volatility. Not a recommendation engine.
Delta, gamma, theta, vega, rho, IV, IV Rank, IV Percentile, time decay and volatility expansion/contraction, explained visually.
Time decay, gamma sensitivity, IV changes, expiry behaviour and event-driven volatility risk. The question shifts from “what will happen?” to “what happens if X changes?”
An AI workflow to organise option-chain and volatility observations, scenarios, risk questions and data summaries: an analytical assistant, not an adviser.
The difference between an idea and a system: market, timeframe, context, setup, trigger, entry, stop, target, sizing, exit, invalidation and no-trade conditions. Start Trading System 1.0.
Sample size, data quality, look-ahead and survivorship bias, overfitting, costs, slippage, out-of-sample and forward testing, applied to one defined setup.
Spreadsheet/Python logic with copyable code, a sample dataset, input/output walkthrough, troubleshooting and an interpretation guide. No programming background needed.
AI for research, journaling, data analysis, checklists, scenario analysis, post-trade review and documentation, plus the AI Red-Team Trader.
Win rate, average win/loss, expectancy, profit factor, max drawdown, R-multiples and performance by setup, time and instrument. Then a structured autopsy: planned vs actual, deviations, causes and changes.
Assemble 15 components, from market selection and regime rules to your AI workflow, journal, backtests, dashboard and weekly review, into one documented system.
You’ll learn to use AI where it’s genuinely useful: organising information, checking your reasoning and reviewing your work. Every AI output is verified against real market data. AI never makes the trade.
Instead of asking AI to predict the market, you give it your thesis and ask it to attack it. The goal is to find what you missed before the market does.
Coding here solves trading workflow problems. It isn’t about becoming a software engineer. You’ll get copyable code, sample data and step-by-step explanations.
# Personal Risk Engine: Session 03 account = 500000 # ₹ risk_pct = 0.01 # 1% per trade entry = 1250 stop = 1230 target = 1298 risk_rs = account * risk_pct qty = int(risk_rs / (entry - stop)) rr = (target - entry) / (entry - stop) print(qty, risk_rs, round(rr, 2)) # → 250 5000.0 2.4
You want a structured foundation, not scattered videos.
You know the basics but lack consistency.
You want to make your process more systematic.
You want to test ideas rather than rely on opinions.
You want practical AI workflows for market analysis.
If you’re looking for any of these, this program isn’t the right fit, and that’s deliberate.
Risk, reality and reading structure
Setups, indicators, volatility, regimes
Options, OI, Greeks, scenarios
Design, backtest, analytics, AI
My Trading System 1.0
24 live sessions on ClassPlus · 3 per week
New Batch Starts 12 October 2026
✓ 7-day refund window · Refund Policy
Click any “Join” button and complete the ₹4,999 payment on the secure ClassPlus checkout.
Your ClassPlus account unlocks the program, session schedule, recordings and learning materials.
Join the live sessions, three per week, and build your trading system project by project.
Yes, if you’re willing to learn progressively. We start with market reality and risk mathematics before moving to structure, derivatives, data and AI.
No. Coding labs use beginner-friendly spreadsheet and Python workflows with copyable code, sample datasets and troubleshooting guides.
No, though basic familiarity with how markets work will help you move faster.
No. We don’t provide buy/sell calls, tips or personalised recommendations. You learn to build and evaluate your own process.
No. Trading and derivatives involve substantial risk. This is an educational program and does not guarantee profits or returns.
No. AI is used as an analytical assistant for research, organisation, journaling and challenging your thinking. Every decision, and every verification against real data, is yours.
Yes. The program fee of ₹4,999 includes GST.
Yes: option-chain interpretation, open interest, the Greeks, implied volatility, expiry behaviour, scenario analysis and derivatives risk.
Yes, with the emphasis on market structure, context and systematic decision-making rather than memorising indicators.
No. The curriculum is designed around accessible, free or low-cost tools wherever possible.
Yes. Recordings of the sessions are available to enrolled students on ClassPlus.
Yes. Students receive a certificate of completion from Mr Trade & Stocks. It is a course-completion certificate, not a regulatory or SEBI qualification.
No. It is an educational program. Nothing taught constitutes investment advice or a recommendation to buy or sell any security.
New Batch Starts 12 October 2026
Enrolment is open for the new batch. First live class: Monday, 12 October 2026. Questions before you join? Call us.
Risk disclosure. Trading in securities and derivatives involves substantial risk of loss and is not suitable for everyone. This program is for educational purposes only and does not guarantee profits or returns. Past or simulated performance does not guarantee future results. Nothing on this page or in the program constitutes investment advice, a research recommendation or a solicitation to buy or sell any security. Tools built during the program are educational and are not recommendation engines. Consult a SEBI-registered investment adviser before making investment decisions.