Openai/6949baf9-0228-8004-9150-b42592f186a8
This conversation was exported from ChatGPT[1]
gpt-5-2 edit
User: Why does my price always gets smaller? edit
Why does my price always gets smaller?
import math import random import time
Startpreis edit
Preis = 1
50% Chance für Aufwärts- oder Abwärtsbewegung edit
if random.random() < 0.5:
marktrichtung = "UP"
else:
marktrichtung = "DOWN"
print("\n" * 10) print("Marktrichtung: ", marktrichtung)
Preis steigt edit
if marktrichtung == "UP":
x = 1 + (-math.log(1 - random.random())) * 0.1
print("X = ", x)
Preis fällt edit
else:
x = -1 + (-math.log(1 - random.random())) * 0.1
if x < 0:
x *= -1
print("X = ", x)
Neuer Preis edit
Aktueller_Preis = Preis * x
print("\n" * 1) print("Neuer Preis: ", Aktueller_Preis) print("\n" * 1)
Endlosschleife edit
while True:
response = input("Drücke Enter um den nächsten Preis zu generieren")
if response == "":
Preis aktualisieren edit
Preis = Aktueller_Preis
Höhere Wahrscheinlichkeit für gleiche Marktrichtung edit
if marktrichtung == "UP":
if random.random() < 0.65:
marktrichtung = "UP"
else:
marktrichtung = "DOWN"
else:
if random.random() < 0.65:
marktrichtung = "DOWN"
else:
marktrichtung = "UP"
print("\n" * 10)
print("Marktrichtung: ", marktrichtung)
# Preis steigt
if marktrichtung == "UP":
x = 1 + (-math.log(1 - random.random())) * 0.1
print("X = ", x)
# Preis fällt
else:
x = -1 + (-math.log(1 - random.random())) * 0.1
if x < 0:
x *= -1
print("X = ", x)
# Neuer Preis
print("\n" * 1)
print("Alter Preis: ", Preis)
Aktueller_Preis = Preis * x
print("Neuer Preis: ", Aktueller_Preis)
print("\n" * 1)
Assistant: Short answer: your “DOWN” factor is almost always less than 1, so every down move shrinks the price, and the math makes… edit
Short answer: your “DOWN” factor is almost always less than 1, so every down move shrinks the price, and the math makes shrinking dominate over time.
Let’s zoom in on the core issue.
The real problem: your DOWN logic edit
x = -1 + (-math.log(1 - random.random())) * 0.1
if x < 0:
x *= -1
What this actually produces edit
- -math.log(1 - random.random()) is always ≥ 0
- Multiplying by 0.1 makes it small (usually < 0.5)
- So this part is usually much smaller than 1
Then you do:
x = -1 + small_numberThat gives something close to -1, for example -0.85
Then you flip the sign:
x = 0.85Final result edit
Your DOWN multiplier x is almost always between 0 and 1 That means:
Preis = Preis * x # guaranteed shrinkEven worse:
- UP moves multiply by values slightly above 1
- DOWN moves multiply by values well below 1
This creates negative drift. Over time, the price collapses toward zero.
Why it feels like a bug even though it isn’t edit
Even with:
- 50/50 start chance
- 65% trend persistence
Multiplicative processes care about log returns, not direction count.
Shrinking by 20% hurts more than growing by 20% helps.
Example:
1.0 '' 1.2 '' 0.8 = 0.96 # net lossYou are mathematically biased downward.
Minimal fix (keep your idea) edit
If you want symmetric behavior, make DOWN the inverse of UP:
# UP
x = 1 + (-math.log(1 - random.random())) * 0.1
=== DOWN ===
x = 1 / (1 + (-math.log(1 - random.random())) * 0.1)
Now:
- UP multiplies by > 1
- DOWN multiplies by a matching reciprocal
- No built-in decay
Cleaner and more realistic approach edit
Use log returns:
r = (-math.log(1 - random.random())) * 0.1
if marktrichtung == "DOWN":
r = -r
Preis *= math.exp(r)
This:
- Avoids asymmetry
- Models price movement correctly
- Prevents silent price death
TL;DR edit
Your price always gets smaller because:
- DOWN moves multiply by values far below 1
- UP moves are too weak to compensate
- Multiplication + asymmetry = inevitable decay
If you want, I can help you design:
- a drift-free market
- volatility control
- trend regimes
- or a realistic price simulator
Just say the word.
References edit
- ↑ "New chat". ChatGPT. Retrieved 2025-12-23.