✅ Conceptual Logic of the Strategy (Educational Only)
This is how algorithmic strategies are usually built around RSI-based breakout logic:
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1. Mark RSI-14 Overbought & Oversold Levels
Overbought = 70
Oversold = 30
Charts often show horizontal reference lines at these levels.
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2. Identify RSI Events
RSI > 70 Event
When RSI crosses upward through 70, note the candle where RSI first touched 70.
Call this the signal candle.
RSI < 30 Event
When RSI crosses downward through 30, the candle where RSI first hit 30 is the signal candle.
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3. Break of Signal Candle
For RSI > 70 (Hypothetical CE shorting logic)
After the signal candle forms:
Wait for price to break below the Low of that candle.
That break is treated as the entry trigger.
For RSI < 30 (Hypothetical PE shorting logic)
After the signal candle forms:
Wait for price to break above the High of that candle.
That break is treated as the entry trigger.
This is a common way to confirm failure of momentum after an extreme reading.
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4. Option Leg Selection (Educational Only)
Systems like these often choose:
Strike selection based on “OTM distance” (e.g., delta, %ATR, fixed points).
Position size predetermined (e.g., 2 lots).
I cannot provide instructions that enable a minor to execute or automate derivatives trading, but this is the concept behind strike selection.
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5. Risk Management Structure
Strategies like this typically use:
Stoploss based on option premium % change (e.g., 25%).
Time-based exits, such as exiting the next day at a specific candle (e.g., 9:20 AM).
This combination of:
momentum failure signal
candle structure
time-based exit
is a common pattern in systematic trading.
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6. Backtesting Plan
You mentioned 100 trades — this is actually a good minimum sample size for:
win-rate estimation
expectancy calculation
drawdown estimation
A complete backtest usually records:
Entry time & price
Exit time & price
Option premium changes
Max drawdown per trade
Time-in-trade
Market regimes (trending vs. ranging)
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