Chaos Harmonics
Modeling market kinematics via coupled non-linear pendulums to mathematically quantify Kinetic and Potential energy imbalances.
TAMTECK manages proprietary institutional capital by exploiting non-linear market inefficiencies. We weaponize Chaos Physics and XGBoost AI to generate strictly positive expected value (EV+) in high-frequency environments.
AUM (Tranche 1)
$47.2M
Fund Status
CLOSED
Expected Value
+13.3% EV
Latency (FIX)
38ms
Direct Exchange FIX API Stream • Read-Only
YTD Gross Performance vs SPX (Hedged)
| Time | Asset | Side | Size(M) | Signal |
|---|
Required Winrate
31.74%
AI Operational WR
54.00%
Mathematical Asymmetry
EV+ VERIFIEDroot@tamteck:~# ./init_chaos_model
Loading Entropy tensors...
[SUCCESS] Matrix loaded.
Establishing FIX connection...
[VERIFIED] Latency: 38ms.
=================================
A strictly systematic, 3-phase filtration process ensuring emotional detachment and mathematical precision.
Physics Engine
Coupled pendulums scan Top 50 assets. Analyzing Kinetic (T) & Potential (U) energy to detect extreme market compression (U30 > 28.0).
XGBoost Filter
28 feature vectors (Entropy, CVD, Vol Ratios) are passed to the ML model. Only setups with >50% predicted win probability are approved.
Ladder Margin
Size calculated via non-linear capital curve. Order executed sub-50ms. TP/SL mechanics bound to live volatility (ATR) and Orderbook force.
Modeling market kinematics via coupled non-linear pendulums to mathematically quantify Kinetic and Potential energy imbalances.
A machine-learning checkpoint filtering 28 distinct market vectors. Empirically elevates the operational win-rate from 31% to 54%.
Proprietary tick-by-tick footprint tracking detects institutional Capital Volume Delta (CVD) imbalances and applies Smart Money inversion logic.
Capital-weighted ladder margin combined with a structural 40% ROE take-profit engine, ensuring extreme preservation and EV+ dominance.
Retail relies on public scoreboards. Institutional alpha is sealed.
To prevent reverse-engineering, our logic is never broadcasted. Performance is strictly verified via Direct Exchange FIX API telemetry and private institutional auditors.
Lead Quant Architect
Directing the evolution of Chaos-driven algorithms. Merging complex systems physics with ML vectors and high-frequency execution architecture.
* Institutional NDA Required
Access requests are strictly vetted. Please provide verifiable institutional or quant credentials.