LEGION
A quant workspace for time-engineered market analysis. Real-time ingestion, proprietary screening metrics, and contextual AI reasoning over full dashboard state. Built as a demonstration of what our inference stack does under genuinely adversarial load.
The hardest test we could give the stack.
Markets are an adversarial, high-volume, low-signal environment with no tolerance for latency and no forgiveness for a badly specified model. Every weakness in an inference stack shows up here immediately and expensively: stale data, overconfident point estimates, models that hold until the regime shifts and then fail silently.
We built LEGION because a system that holds up under those conditions holds up anywhere. The streaming pipeline, the regime detection, the contextual reasoning over full application state, the encrypted storage layer underneath it all are the same components carrying our other platforms. This is where they get stress tested.
It is a capability demonstration and an internal instrument. We are not a financial advisory company and have no intention of becoming one.
REGIME STRUCTURE
Phase transition marker on a banded series. Illustrative.
SCREEN ACTIVITY
01
Time-engineered framing
Structures analysis around duration and phase rather than price alone, treating time as a primary axis instead of an annotation on a chart.
02
Streaming ingestion
Millions of data points daily through a pipeline that stays current under load rather than reconciling after the close.
03
Proprietary screening
Filters across phase, tier, pulse and volatility using metrics built for this framing rather than borrowed from a standard toolkit.
04
Contextual reasoning
Selina reads full dashboard state and returns structured narrative. Not a chatbot bolted onto a chart, but analysis over the whole visible system.
05
Fair value analytics
Model-derived valuation against live data with explicit mispricing indicators and stated assumptions rather than an opaque score.
06
Regime detection
Identifies phase transitions in volatility structure, which is where most fixed-parameter models quietly stop being correct.
07
Position state tracking
Strategy-aware logs capturing every leg event, open, close and roll, so the record reflects intent rather than just fills.
08
Encrypted substrate
Runs on the same encrypted storage and structured memory indexing layer as everything else we build.
09
Latency discipline
Built so that the analysis is still true by the time it renders, which constrains every architectural choice upstream of it.
LIVE SYSTEM
legion.selina.aiRunning in production. Early access.VISIT ↗DISCLAIMER
LEGION and Selina.ai are educational tools. Nothing on this site or within the application is financial, investment, trading, tax or legal advice, and nothing is a recommendation to buy or sell any security or to use any specific strategy. Markets and options involve substantial risk, including the possible loss of all capital. AI-powered features may be inaccurate, incomplete or delayed. You are solely responsible for your own research, decisions and results.