Hereโs the why โ and more importantly, the how. Pairs Trading is a market-neutral strategy rooted in statistics and mathematics, not gambling, guessing, or gut feelings.
This is not luck.
This is a quantitative model based on data and logic.
๐ How Does It Work?
Let me break it down simply:
Pick a Pair: Choose two highly correlated assets (e.g., ETH & ETC).
Monitor the Spread: Track the price difference (spread) between them.
Model the Relationship: Use statistical methods to determine the โnormalโ spread range.
Exploit Deviations:
When the spread deviates significantly from the norm,
go long on the undervalued asset and short the overvalued one.
Profit on Reversion:
As the spread returns to normal, the positions are closed โ with a profit.
๐ Why Itโs Not Gambling
This approach is:
โ Backed by historical data โ Grounded in mathematics โ Systematic and repeatable โ Free from emotion and noise
I'm not just randomly buying and selling. Iโm not chasing pumps.
Iโm a mathematician and a quant, with backgrounds in both Mathematics and Economics, and soon starting my Masterโs in Quantitative Finance.
This is research-backed strategy execution, not hope-based trading.
๐ก In Short:
Iโm not trading based on hunches. Iโm running a mean-reversion engine built on math. And often โ just like the stats say โ it works.
๐ Like this post if you're curious. ๐ Because in the next ones, Iโll share:
How I select pairs
What cointegration and z-score really mean
A full working Pairs Trading script in Python
Stay tuned.
Stay smart.
fulldeg
ยท
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Bullish
๐ฐ I keep printing money. Curious how?
It's called Pairs Trading โ and it's not luck, it's strategy.