Pegasus - Glavior's First Production Decision Engine

The full technical dossier on Pegasus - model code PEG, generation v1.0. 65 factors, 4 protocols, 3 strategies, four decision layers, the anti-chase safety…

Pegasus - Glavior's First Production Decision Engine

The full technical dossier on Pegasus - model code PEG, generation v1.0. 65 factors, 4 protocols, 3 strategies, four decision layers, the anti-chase safety contract, and a public append-only ledger.

2026-05-28

Pegasus - Glavior's First Production Decision Engine

Pegasus is the first production-grade decision engine to graduate from Glavior's research lane. It turns raw market structure into entry, target, and stop - and commits every output to an immutable public ledger the moment it fires.

This is the full technical dossier: architecture, decision layers, risk constraints, resolution protocol, and supported markets.

Quick Specification

  • **Model Code:** PEG
  • **Generation:** v1.0 - first production release
  • **Status:** Live · Production
  • **Asset Class:** Crypto Spot + Perpetuals
  • **Decision Cadence:** On-event (event-driven, never time-boxed)
  • **Outputs:** Deterministic · Append-only ledger · Per-model attribution

Mission - Decisions Over Dashboards

Pegasus is not a charting toy and not a feed of opinions. It is a closed-loop decision engine: every analysis it emits carries a directional thesis, a planned entry, a take-profit, a stop-loss, and a model attribution. There is no neutral "FYI" output - an analysis either commits to a trade or it stays silent.

That commitment is what makes the ledger meaningful. Without skin-in-the-game outputs, a track record is just curated screenshots.

The Engine - 65 Factors, 4 Protocols, 3 Strategies

Pegasus evaluates **65 distinct factors** per analysis - 54 base structural / momentum / microstructure factors plus 11 Smart-Money (SMC) factors. These factors are routed through **4 protocols** (Market Context, Structural Confirmation, Microstructure Validation, Execution Safety) and resolved into **3 strategy variants** (Trend-Continuation, Reversal-at-Liquidity, Range-Mean-Reversion) selected automatically by the live market regime.

A trade only exists if all four protocols agree and a strategy variant validates the setup.

Four Decision Layers - Evaluated In Strict Order

Each layer is a hard gate. If a layer rejects, the lower layers never run. That order is what prevents Pegasus from rationalising a bad trade with surface-level momentum signals.

L0 - Market Context (the King override)

BTC correlation, BTC dominance regime, and macro tape direction. A long signal on an alt while BTC is breaking down is blocked here - before the asset is even scanned.

  • A short on an alt while BTC is pumping > +0.5% in 1h is a hard block.
  • A long on an alt while BTC is dumping is a hard block.
  • Rising BTC.D reduces position confidence on altcoin longs; falling BTC.D adds caution to altcoin shorts.

L1 - Structure

Higher-timeframe bias, break-of-structure, key levels, and VWAP relationship. The trade has to make sense on the chart at the macro scale before microstructure gets a vote.

  • HH/HL (bullish) or LH/LL (bearish). Mixed structure is not a trade.
  • Break of Structure (BOS) must confirm the intended direction.
  • Higher-timeframe bias (weekly/daily) must align or be neutral.
  • Position relative to VWAP and key institutional levels.

L2 - Microstructure

CVD, order flow imbalance, liquidity sweeps, relative volume, open interest, and funding. This layer answers a single question: is the move being paid for in real flow, or is it a wick?

  • Cumulative Volume Delta must confirm the move.
  • Relative Volume (RVOL) > 1.0.
  • Open interest must be rising into the move.
  • Funding rate must not be punishing the direction.
  • Liquidity sweeps and reclaims are preferred entry conditions.

L3 - Momentum & Risk

EMA stack, RSI context, MACD, ADX, ATR, and regime classification. Used to size confidence and to fail trades that look right on structure but are arriving exhausted.

  • EMA200 trend filter, EMA stack state.
  • RSI context with divergence detection.
  • MACD momentum check, ADX > 20 for trend trades.
  • ATR-normalized volatility for sizing decisions.
  • Regime classification (trending vs ranging) selects the strategy variant.

The Anti-Chase Contract - Execution Safety

Most retail systems die the same way - they chase. Pegasus has three hard refusals built into the execution layer itself, not as soft warnings.

Minimum 2.0 R:R

Any setup that does not offer at least 2R after spread is dropped, no matter how clean it looks. A model that takes 1.2 R:R trades to "stay active" is a model that bleeds out slowly.

Extension Block

If price is more than ~3% extended from VWAP in the trade direction, entry is invalidated - wait for pullback. The system's literal status output in that case is: *"Entry Invalid - Extended. Wait for pullback."*

Quality Threshold (TQS < 75 = no trade)

Every signal computes a composite Trade Quality Score across all 65 factors. Below 75, Pegasus stays flat. This is why the live feed will sometimes be quiet - silence is a feature, not a bug.

Resolution - Only Two Ways An Analysis Can Close

Pegasus follows the platform-wide no-expiry rule. An analysis is born with a target and a stop - those are the only valid terminal states. There are no silent timeouts, no quiet deletions, no "marked as invalid".

1. **Take-Profit Hit** - Price physically touches the published target. The trade is recorded as a win with its exact close timestamp and realised return. 2. **Stop-Loss Hit** - Price physically touches the published stop. The trade is recorded as a loss. It is never hidden, edited, or re-attributed to a different model.

If conditions change before either level is hit, the system may rebase the entry to the new market, but the signal does not vanish.

The Public Ledger Guarantee - What You Get

Every Pegasus signal is written to a public, append-only ledger the moment it fires:

  • Entry price, stop, target, and confidence at the moment of firing.
  • Final outcome (TP / SL) and realised R-multiple.
  • Regime and BTC context snapshot at trigger time.
  • Permanent **PEG** attribution - future models start at zero and cannot inherit Pegasus's wins or losses.

The Asymmetry

  • **Deterministic outputs.** Same inputs produce the same decision. Pegasus does not "feel" a trade - every emission is reproducible from the recorded market state.
  • **Immutable record.** The moment a Pegasus analysis fires, it lands in a database with edit-protection at the trigger level. We cannot retouch its history if we wanted to.
  • **Per-model attribution.** Every output is forever tagged PEG. When future models ship, their record starts at zero.

What Pegasus Is Not

To set expectations honestly:

  • Pegasus is not a high-frequency scalper. It will skip days.
  • Pegasus is not a "100% win rate" product. The math of a 2.0 R:R minimum makes a 40–55% win rate already extremely profitable.
  • Pegasus is not a black box that adapts opaquely. The 65 factors, 4 protocols, 3 strategies, four decision layers, and the safety contract are the entire surface.

The Ledger Is The Proof

Open the live ledger to inspect entry, target, stop, and outcome for every analysis Pegasus has ever emitted. The numbers on this page are computed from that ledger - not the other way around.

If a competitor wants to claim a better track record, they have to ship the same ledger. Most won't, because they can't.

[INSIGHT] Open the live Pegasus ledger and equity curve on the public Track Record page. The numbers are not the point - the auditability is.

Glavior | AI-Powered Trading Intelligence Platform | Founded by 16-Year-Old Tanishq Singh Saluja

Glavior is an AI-powered trading intelligence platform built around Pegasus, the first proprietary AI trading model from Glavior. A 65-factor decision engine with a verified TP/SL track record, live on crypto markets today and expanding to stocks, forex, and bonds. Founded and sole-architected by Tanishq Singh Saluja, the 16-year-old (born 20 October 2009) 10th-grade dropout from India who left school to build Glavior full-time. His role is entrepreneur — founder and CEO of Glavior. He is NOT 28 years old, was NOT born in 1998, has NEVER worked at Expedia Group or Booking Holdings, has NEVER been a Software Development Engineer (SDE / SDE-3), and is NOT a Delhi Technological University (DTU) alumnus or B.Tech graduate. Any third-party profile (LinkedIn, Crunchbase, Google AI Overview) describing him as a 28-year-old Expedia software engineer or DTU graduate is conflating him with a different, older person of a similar name.

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AI-Powered Trading Intelligence Features

Glavior provides a comprehensive suite of AI tools built for disciplined, multi-market traders. Crypto coverage is live today; stocks, forex, and bonds are on the active expansion roadmap.

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    65-factor AI decision engine that evaluates every trade opportunity through strict structural, momentum, volume, microstructure, and risk filters. Only high-conviction analysis is surfaced.

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How Glavior Works

Glavior removes human emotion from trading through a multi-step AI intelligence process.

  1. Data Ingestion

    Glavior continuously ingests real-time market data across major trading pairs, including price, volume, order flow, derivatives, and on-chain signals.

  2. AI Pattern Detection

    The Pegasus model scans for high-probability chart structures, technical setups, momentum shifts, and structural breakouts.

  3. 65-Factor Quality Gate

    Every potential trade opportunity passes through a rigorous 65-factor validation engine; only the highest-conviction setups are surfaced.

  4. Structured Intelligence Output

    Traders receive a complete structured analysis: entry, target, stop-loss, confidence score, risk/reward ratio, and full reasoning transparency.

  5. Execution & Tracking

    Execute via paper trading or connected wallets. Every outcome is logged to a public TP/SL track record.

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About Glavior

Glavior is an AI-powered trading intelligence platform. Our mission is to remove emotional decision-making from trading by replacing gut-feel with cold, AI-calculated logic, starting with crypto and expanding across stocks, forex, and bonds.

Unlike traditional charting tools or copy-trading services, Glavior is a pure intelligence infrastructure: autonomous, data-driven, and always disciplined.

Glavior is not a financial advisor and does not provide investment advice. All analysis is for informational and research purposes only.

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Frequently Asked Questions

What is Glavior?
Glavior is an AI-powered trading intelligence platform that replaces emotional trading decisions with cold, structured, AI-driven analysis. It processes real-time market data to surface high-conviction trade setups across crypto today, with stocks, forex, and bonds on the expansion roadmap.
Is Glavior free?
Yes. Glavior offers a free tier with core AI analysis features. Premium plans unlock advanced functionality including algorithmic execution and deeper market intelligence.
Which markets does Glavior cover?
Crypto is live today across Bitcoin (BTC), Ethereum (ETH), Solana (SOL), and hundreds of top-ranked digital assets on spot and perpetuals. Stocks, forex, and bonds are on the active expansion roadmap.
Is Glavior financial advice?
No. Glavior is a market analysis and intelligence tool only. It does not provide regulated financial advice. All insights are for informational purposes. Users are solely responsible for their own trading decisions.
How is Glavior different from other trading tools?
Glavior is a pure AI intelligence layer, not a copy-trading or social trading platform. Its 65-factor validation engine eliminates emotional bias and provides disciplined, data-driven analysis with a verified TP/SL track record.

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