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Halil İbrahim GÜVEN

@market_alchemy

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time = delay
vector ≠ friction
Founder @ MarketAlchemy Research
Building Structural Depth Theory
ORCID: 0009-0008-4942-5495
amazon.com/author/higuven
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What can be empirically observed? Our empirical studies tested Structural Dispersion (Ψ) across 15 market instruments and four experimental campaigns using market order-book data. The strongest empirically defensible conclusion: "Structural Dispersion (Ψ) can be produced as a computable and observable structural state/event in the selected market-order-book representation; Ψ>0 events are measurably separated from Ψ=0 controls in subsequent market-microstructure behavior." The computational core passed 15/15 validation tests, with additional robustness and independent audit procedures. Paper: 10.5281/zenodo.22062816 Open-source code: 10.5281/zenodo.22062622 The result is limited to the tested operational projection and selected market representation. #StructuralDepth #StructuralDispersion #StructuralDetermination #EmpiricalResearch #MarketMicrostructure OpenScience QuantitativeResearch MarketAlchemy by @market_alchemy
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2 months ago
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Today marks an important milestone. The first executable implementation of the Market Alchemy Research Program is now live. Market Alchemy Research Engine (MARE) Built upon Structural Depth Theory (SDT), MARE transforms raw market observations into progressively richer structural representations. This is not an indicator. This is not a trading bot. It is an executable scientific research engine. Live Observatory: marketalchemy.io — MARE is not a product of the research. MARE is the research itself. #MarketAlchemy #MARE #StructuralDepthTheory #ResearchEngineering #SoftwareEngineering by @market_alchemy
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2 months ago
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What survives when we change the way we observe reality? Every observation gives us a representation of a system — not necessarily the system itself. This work asks whether something structural can persist when the representation changes. The theoretical object is: R = ⋂_{Π ∈ P} Π(S) But the full system state S is inaccessible, and the complete family of admissible representations cannot be empirically exhausted. So Version 2 introduces a falsifiable bridge: R_candidate(P_m) The protocol was allowed to return an empty set. It did not. Across 8 assets and 8 heterogeneous representations, tested against 1,000 matched-null realizations, two structural dimensions survived both statistical gates. ρ₁ = 0.908768 ρ₂ = 0.696296 p = 1/1001 dim(R_candidate) = 2 This does not establish that R_candidate = R or that “objective reality” has been extracted. It establishes a narrower result: a statistically supported structural component persists across the tested representations substantially beyond matched-null expectation. The theoretical question has now become empirically testable. Reality as a Constraint-Invariant Structure — Version 2 The Theoretical–Empirical Bridge Open research program. DOI and full paper via profile / Market Alchemy. #StructuralDepth #ComplexSystems #OpenScience #MathematicalPhysics #ScientificResearch Research ComplexityScience SystemsTheory by @market_alchemy
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2 months ago
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What if market organization can be measured? Structural Depth Theory v14 is now publicly available with: • Multi-asset empirical validation • Complete reproducible Python implementation • Open scientific methodology This release is part of the MarketAlchemy research program. DOI: 10.5281/zenodo.21627634 🌐 marketalchemy.io #OpenScience #QuantFinance #Python #Bitcoin #StructuralDepth by @market_alchemy
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3 months ago
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Further reading: amazon.com/author/higuven by @market_alchemy
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3 months ago
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amazon.com/author/higuven by @market_alchemy
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3 months ago
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amazon.com/author/higuven by @market_alchemy
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3 months ago
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Always later. by @market_alchemy
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3 months ago
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Not appearances. by @market_alchemy
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3 months ago
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Not the opposite. by @market_alchemy
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3 months ago
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That's the error. by @market_alchemy
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4 months ago
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Observe differently. by @market_alchemy
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4 months ago
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