Waitlist open · lifetime access
For Indian markets · beginner-friendly · step by step
Learn to build, test and automate your own trading strategies, step by step. The hard part is done for you: broker login, data, charges, backtesting and risk controls come ready-built, so you skip months of setup.
✓ Free to join✓ First access when it opens✓ No spam
Nobody teaches algo trading for Indian markets properly. So people buy tips, trust screenshots, and lose weekends to broker APIs.
🚀 95% accurate BankNifty algo. Only 20 slots left. DM for access 🔥
does it work after costs?
Seen
It looked great in the screenshots. Then it met real slippage, real charges and the 2026 STT hike.
You learn · how to find a real edgeThen you went live and it didn't. Usually it's lookahead, survivorship, or costs you never modelled.
You learn · 7 backtest trapskiteconnect.exceptions.TokenException: Incorrect `api_key` or `access_token`.
DH-905 order rejected: static IP not registered
Saturday, 11:48 pm. Still no trades.
Daily logins, instrument tokens, rate limits, static IPs. Weekends gone and nothing tested yet.
Done for you · login, data, rate limitslearn the skill. skip the setup. that's the whole kit. ↓
A beginner's strategy: be long NIFTY after up days. From 2008 it compounds at 198.9% a year with a Sharpe of 8.83 and no drawdown. The signal secretly uses today's close to trade today. Fix one line and it earns 10.2%, before costs.
up_day = (close > close.shift(1)).astype(float) # BUG: today's signal × today's return cheat = up_day * close.pct_change() # Honest: a signal known at the close earns tomorrow honest = up_day.shift(1) * close.pct_change()
Real lookahead is never this obvious. Chapter 14 shows seven ways a backtest lies, each on real NSE data, with the code that catches it. Join the waitlist →
This is where most people quit: before their first strategy, buried in broker APIs, messy data and charge calculations. The framework does all of it for you. 18 ready-made modules, tested on real NSE data, so you start where everyone else gives up.
tradekit.auth
tradekit.brokers
tradekit.instruments
tradekit.data · quality · nse
tradekit.costs
tradekit.backtest · engine
tradekit.indicators
tradekit.robustness · checks
tradekit.options · optbacktest
tradekit.tearsheet
yours to read, change and extend. no black boxes. ↑
Everything you need to go from "what is a backtest?" to your own strategy running on your own machine: the skills, in the order you need them, and a framework that has already done the heavy lifting.
done for you
18 ready-made Python modules
Broker login, market data, Indian charges, two backtest engines, options, robustness tests, paper trading, order management and a kill switch. Months of setup, already done. Use it as-is or build on top of it.
The complete course
Algo Trading for Indian Markets
From your first backtest to a fully automated live system on Zerodha Kite & Dhan
Kite & DhanHQ edition
zero to live
24 step-by-step chapters
Learn algo trading in order: how Indian markets work, how to find and test an edge, and how to run a strategy live, safely. Plain English, real data, no fluff.
with honest verdicts
5 strategy families + 6 option structures
Trend, mean reversion, momentum, intraday breakouts and option selling, tested on NSE data with full costs.
160+
learn by doing
160+ code examples
Every chart and table in the lessons is produced by code you can run, change and learn from.
print and keep
Kite vs Dhan, charges, pre-live checklist
The quick references you keep open while you work, including 40 questions to answer before your first real order.
∞
free, forever
Every fact refresh, free
Charges, SEBI rules and broker APIs change. When they do, the lessons and the framework are updated and the new version lands in your inbox.
Six parts, each building on the last, from how the market works to a system running every day.
Part I · Foundations
Part II · The Toolkit
Part III · Finding an Edge
Part IV · Backtesting
Part V · Going Live
Part VI · Operating
Appendices
Real pages from the lessons. Every chart is computed from real NSE data by code in the kit, so you get the same numbers when you run it.
Chapter 1What algo trading really is
Chapter 3Where the money goes on every trade
Chapter 3Costs meet NIFTY’s typical move
Chapter 12An opening-range breakout, before and after charges
Chapter 13The one-page tear sheet
Chapter 14Sin 1: lookahead bias
Chapter 14Survivorship and overfitting
Chapter 15Parameter plateaus vs peaks
Chapter 16NIFTY’s volatility skew
Chapter 16Option structures and their payoffs
tap a page to zoom in ↑
No "95% accurate" strategies. No P&L screenshots. No promises. The kit teaches the process that gives an edge a chance to survive, and the tests that kill a fake one before it costs you money.
91% of individual F&O traders lost money in FY25. In FY26, 82.1% were losing even before costs.
70% of NIFTY's 5-minute moves are smaller than the 13.8 points one futures round trip costs.
Months of setup, already done for you. Join the waitlist and you'll be first in when it opens.
✓ Free to join✓ One payment, lifetime access when it opens
Basic Python helps: variables, functions, loops. If you’re new, the lessons include a Python crash course for traders, and every example is complete and copy-paste runnable. You don’t write the plumbing; the framework already has it.
A done-for-you Python package (tradekit) with 18 ready-made modules: Kite and Dhan login, a single broker interface, instrument lookup, a market-data store, an Indian charges calculator, two backtesting engines, indicators, options pricing and Greeks, robustness tests, tear sheets, paper trading, order management and risk controls with a kill switch. It installs on your own laptop or server.
Zerodha Kite Connect and DhanHQ, side by side. You need your own API access: Kite Connect is ₹500 a month; DhanHQ’s trading APIs are free and its data API is ₹499 a month. You can start learning and backtesting with free NSE data before paying for either.
No, and be careful with anyone who promises that. The kit includes tested strategies with honest verdicts, including the ones that don’t work, and the tools to find out whether your own idea has a real edge before you risk money on it.
Broker login, clean market data, Indian charges, backtesting, paper trading and risk controls are the parts that usually take months to get right, and where most home-made projects stall. They come built, tested and documented, so your first evening goes into a strategy instead of setup.
The kit opens to the waitlist first. Join with your email and you’ll get one message the day it opens. Joining is free and you can unsubscribe any time.
You pay once and keep everything: all 24 chapters, the framework, the playbook, the examples and the cheat sheets. When charges, rules or broker APIs change, the updated guide and framework are emailed to you at no extra cost.
Yes. It covers the retail algo framework in force from 1 April 2026 (static IPs, Algo-IDs, order-rate limits, the daily login) and the 2026 STT changes. Every time-sensitive fact was verified in November 2026, with sources.
No. Everything runs on your machine. We never see your broker login, API keys, strategies or trades.
All three. The lessons are a PDF you can read anywhere, and the framework is a standard Python package.
No. It’s an educational kit for building and testing your own trading software. We are not SEBI-registered advisers and we don’t sell tips or signals.
Email us within 7 days and you get a full refund. No forms, no questions.
your first backtest is one evening away ↓
✓ Free to join✓ No spam