Featured · Risk management
What is the 7% Rule in Stocks?
Sell any stock that falls 7–8% below your buy price. Why the rule works, the math behind it, and how to automate it.
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Featured · Risk management
Sell any stock that falls 7–8% below your buy price. Why the rule works, the math behind it, and how to automate it.
General AI assistants can draft and review strategy logic but can't touch your trading account. An AI connector closes that gap. What each layer does, what Tradetron's TT Assistant can do, a worked example and the risks.
Hedge a portfolio or a NIFTY position with options: how many lots you need, a full worked protective-put example, cheaper alternatives like collars and put spreads, and how to automate the roll.
ChatGPT is good at turning a vague trading idea into exact rules and finding the gaps. Here is how to go from that conversation to a backtested strategy running Live Offline, with prompts you can copy.
Neither approach is better in general. Rule-based systems are transparent, testable and auditable; AI bots can adapt but are harder to explain and test. A clear comparison and a checklist to choose.
Every algo order now carries an exchange Algo-ID. What the mandate means for retail traders, who needs to register, and a four-point compliance check.
The full Zerodha setup in three parts, the URL mistake that breaks most connections, Kite Connect's static IP rules, and a troubleshooting table for every common error.
SmartAPI key, TOTP, static IP and a 30-second login each morning: how to connect Angel One to Tradetron and fix the problems that stop orders going through.
Slippage is only one of nine reasons a backtest and a live strategy drift apart. Here is the full list, roughly in order of damage, and a four-step method to reconcile live trades against the test.
Changing the lot count is the easy part. Ten checks for strategies that were already running when NIFTY went to 65 and BANK NIFTY to 30: rupee stops, sizing, hedge ratios, backtests and signals.
Claude and Gemini are research and logic tools, not traders. How to use them to write better rules, what they get wrong, and how TT Assistant turns a chat into a tested strategy.
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Turn an idea into a strategy, backtest it, and run it Live Offline before a rupee is at risk. No code.