It is probably very apparent to everyone that I’m in quite the manic state. 🥹Jumping from one research topic to another. You have to remember my background is chemistry and physics, too long in creative artsy mode creates a deficit in my brain. I’m intellectually starved and
Traditional trading algorithms act like classical physics,totally linear. They assume markets behave predictably once you plug in the right indicators. But markets really don’t move that way, any specific thing in a market can be viewed as a particle and you can use quantum
1. QHO-VaR Altcoin crash catcher Hypothesis: During market crashes, altcoins often fall too far and too fast, then rebound sharply. Classical risk models underestimate this rebound potential. By applying a QHO model, I can test whether price deviations behave like oscillations
2. QHO Oscillator (BTC mean reversion model/ Fade the Herd) Hypothesis: Bitcoin’s price doesn’t move in straight trends it fluctuates in repeating cycles. A QHO based approach treats price as a vibrating system with measurable amplitude and frequency. Testing this can show
3. Quantum Tunneling Arb (Cross exchange opportunities) Hypothesis: Sometimes tiny arbitrage gaps exist between exchanges but look unprofitable after accounting for latency or fees. In quantum mechanics, particles can still tunnel through barriers like that. The goal is to
4. QHO/Hurst Hybrid (ETH long trend filter) Hypothesis: Ethereum shows both mean reverting and trending phases. By combining the QHO’s equilibrium model with the Hurst exponent (which measures trend persistence), I can test if the algorithm adapts better to changing market
5. QHO Spread Leaks (Pairs trading) Hypothesis: When two related assets temporarily diverge, they often reconnect like energy returning to balance. By modeling the probability of that “leak” (similar to quantum tunneling), I can better time entries and exits in pairs trades.
6. Tail Chain Micro Edges (Portfolio experiment) Hypothesis: Instead of relying on one large predictive model, a portfolio of many small, probabilistic edges may perform more like a quantum superposition combining independent signals for stability. Testing this will show whether
I can write a hypothesis but if you think I know how to code you are gravely mistaken😹 I’m a thought thot, not a coding cun+ 💀 feel free to c&p the experiments to your favorite ai fren to execute these yourself.🤗 You’ll need api keys, but if you made it this far i don’t
@landwhisker Your brain should be studied. 🧠
@TerryIsakova It really should… on why not to do drugs 😹😈
@landwhisker this might be your hottest post 🥵
@toonytoons RIGHT?! I think I finally broke my brain tho Now I can be a dumb slut 😹
@landwhisker I should share my AI behavior calibration tools with you. It's wild the results. Makes you wonder.
@landwhisker Don’t despise this at all… thanks for the research… 👏 🤪
@landwhisker I look forward to more of these.