ALGORITHMIC_TRADING_ENGINE_v2.0
VALORI - QUANT
The only vector search engine with mathematical proofs of state.
Eliminate execution slippage and non-deterministic drift.
THE_PROBLEM
Standard RAG systems return "approximate" matches. In high-frequency trading, an approximate vector match means executing the wrong trade.
THE_CONSEQUENCE
12ms - 40ms of latency overhead re-verifying data, plus millions in slippage from non-deterministic drift.
THE_SOLUTION
Valori Kernel uses sub-space filtering to guarantee 100% recall with 0% drift. Mathematically proven state.
Live_Execution_Preview
FLIGHT_RECORDER_PLAYBACK
Visualizing the kernel's decision boundary during a live high-volatility event.
Live_Replay
Supporting Documentation
Execution Scenarios
JSON Preview{
"optimal": {
"query": [
0.309934,
0.220852,
0.175908,
-0.098849,
-0.112025,
-0.023414,
0.157921,
0.076743
],
"expected_top": {
"id": 1,
"ticker": "NVDA",
"return_pct": 15
}
},
"actual": {
"query": [
0.196866,
0.126896,
0.136853,
-0.161727,
-0.100024,
-0.147546,
-0.050346,
0.03027
],
"expected_top": {
"id": 5,
"ticker": "GOOGL",
"return_pct": 8
}
},
"slippage": {
"return_difference_pct": 7,
"position_size_usd": 10000000,
"single_trade_loss_usd": 700000,
"annual_estimate_250_days": 175000000
}
}