This site is currently being refined after migration. If something seems missing, try Search or visit the older site.
oldws.anupshinde.com
Trading
This pillar collects the trading side of the site: strategy evaluation, market psychology, journaling, and the infrastructure needed to test ideas without lying to yourself.
Bias of this section
The writing here is less about hot takes and more about process. Backtests, indicator matching, psychology, and tool choice all matter because the market is very good at exposing weak assumptions.
Some of that tooling is also taking shape under Fractiz, a private backtesting product in active development.
Trading infrastructure
A custom backtesting engine built for strategies that stopped fitting neatly inside off-the-shelf Python frameworks.
Built for custom logic, exact indicator matching, portable execution, and large runs across millions of candles.
Trading writing
Aug 11, 2025
A backtest of random trading signals on NQ futures - from seed 42 experiments to massive 10,000-generator ensembles. Explore probability patterns, profit curves, and what happens when chaos meets code.
Jul 25, 2025
Most traders enter prop trading with big hopes and bigger misconceptions. Here’s what really happens, why most fail, and how to trade smarter.
Jul 19, 2025
Evaluating a strategy isn’t just stats - it’s about mindset, drawdown tolerance, and lifestyle fit. Here’s my stick-with-it framework.
Jul 17, 2025
Many traders chase high win rates, but this can backfire on them. Learn why low reward-to-risk setups can break you, even if you’re often right.
Jun 23, 2025
I used ChatGPT to backtest an EMA + ATR system with stop-loss, slippage, commissions, take-profit, and real P&L tracking.
Jun 22, 2025
Manual backtests build feel, but code (or AI tools) helps you test faster and uncover deeper insights.