📅 Day 108 — Building a Personal Risk Script

At some point, discipline stops being a virtue and becomes infrastructure.

You can’t rely on “gut feel” forever; even instincts need scaffolding. That’s why I built what I call my Personal Risk Script — a living document that translates emotion into logic, and logic into execution.

🧩 Step 1 — Translate Feeling into Framework

Take the principles we’ve built over the past few days — TPA logic (Day 104), zero-regret thresholds (Day 105), position sizing (Day 106), and cooldown windows (Day 107).
Write them as if-then statements — simple enough to code, honest enough to follow.

• If a position gains 3 %, then set TPA just above breakeven.
• If I close a profitable trade, then enter cooldown for 90 minutes.
• If I feel FOMO, then halve my position size.

It’s not about rigidity; it’s about eliminating emotional latency. The fewer real-time decisions you make, the clearer every decision becomes.

💻 Step 2 — Code It (If You Can)

Even a few lines of code can turn your self-talk into structure.
Python, PineScript, Notion formulas — doesn’t matter. The point is consistency.

if position.pnl >= 0.03:
    position.take_profit_at = position.entry_price * 1.06  # TPA just above breakeven (make sure you account for fees when setting this value)
if last_trade.result == "profit":
    cooldown.start(minutes=90)
if emotional_state == "fomo":
    size.adjust(factor=0.5)

The algorithm’s job isn’t to outsmart you — it’s to hold you to your own promises.

🕰 Step 3 — Ritualize the Review

At the end of each session, I ask one question:

“Did I obey my script, or improvise my downfall?”

Trading is closer to Taekwondo than to poker — forms first, freedom later.
Over time, your Risk Script becomes part of your rhythm — your own Volatango.

⚙️ Why It Works

A Risk Script doesn’t eliminate mistakes; it makes them measurable.
It turns regret into data, impulse into parameters, intuition into logs.
Once you can measure your behavior, you can improve it.

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🔗 Designing Algorithmic Trading Rules — QuantStart
🔗 Trading Journals and Risk Discipline — Investopedia
🔗 Behavioral Biases in Trading — CFA Institute