---
title: K1RL QUASAR — Volatility 75 (1s)
emoji: 💛
colorFrom: yellow
colorTo: yellow
sdk: docker
pinned: false
license: mit
short_description: 8 quantum AI agents trading V75 (1s) on Deriv 24/7
---

# ⚡ K1RL QUASAR — VOLATILITY 75 (1s)
### 💛 THE YELLOW RANGER — Perfect Transfer · Zero Domain Shift

![Status](https://img.shields.io/badge/STATUS-LIVE%2024%2F7-yellow?style=for-the-badge) ![Index](https://img.shields.io/badge/INDEX-VOLATILITY%2075%20(1s)-yellow?style=for-the-badge) ![Symbol](https://img.shields.io/badge/SYMBOL-1HZ75V-orange?style=for-the-badge) ![Voyage](https://img.shields.io/badge/VOYAGE-v5-gold?style=for-the-badge) ![Transfer](https://img.shields.io/badge/TRANSFER%20RATIO-1.0000%20✅-brightgreen?style=for-the-badge)

---

## 🧠 What is K1RL QUASAR?

K1RL QUASAR is an **8-agent quantum-enhanced reinforcement learning trading system** that autonomously trades synthetic indices on the Deriv platform — 24 hours a day, 7 days a week, with zero human intervention.

Each agent runs an **Actor-Critic network** enhanced with **Qiskit quantum circuits**, coordinating via **QMIX value decomposition** and a **QuantumVotingSystem** where all 6 trading agents vote on every action before execution.

---

## 💛 Yellow Ranger Profile — V75 (1s)

> **The Yellow Ranger is the most faithful transfer in the entire fleet.** Identical 75% volatility to the V75 foundation model — the agents already know this market. Only the tick cadence changes from variable ~2s to a fixed 1 second.

| Property | Value |
|---|---|
| 🎯 Index | Volatility 75 Index (1s) |
| 📡 Deriv Symbol | `1HZ75V` |
| ⚡ Volatility | 75% — identical to V75 pretrain |
| 🕐 Tick Speed | Every 1 second (vs ~2s variable on R_75) |
| 🧬 Pretrained From | V75 foundation model (voyage v1) |
| 📦 Voyage | `v5` → saves to `V100/v5/` |
| 🔑 Redis Password | `k1rl_v751s_8e4b2f6a0d3c9517` |
| 🏃 Transfer Ratio | **1.0000 — perfect match** |

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## ⭐ Why V75 (1s) is Special

The pretrained V75 model (`R_75`, voyage v1) learned the **75% volatility distribution** from thousands of training iterations. `1HZ75V` runs the **exact same underlying distribution** — just with a fixed 1-second tick interval.

- ✅ Feature magnitudes nearly identical
- ✅ Reward scaling requires no adjustment
- ✅ No directional bias correction needed
- ✅ Fastest expected convergence of any index in the fleet
- ✅ Essentially **zero domain shift**

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## 🏗️ Architecture

```
┌─────────────────────────────────────────────────────┐
│              K1RL QUASAR — V75 (1s)                 │
├──────────────┬──────────────┬───────────────────────┤
│  Features.py │  Rewards.py  │   quasar_main4.py     │
│  1HZ75V      │  V75_1S      │   8 Actor-Critic      │
│  Tick Data   │  Reward Sig  │   QMIX + Voting       │
├──────────────┴──────────────┴───────────────────────┤
│               Redis (V75_1S: namespace)              │
├─────────────────────────────────────────────────────┤
│         HuggingFace Spaces — CPU Basic               │
└─────────────────────────────────────────────────────┘
```

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## 🗺️ Fleet Voyage Map

| Voyage | Space | Symbol | Pretrain | Theme |
|---|---|---|---|---|
| v1 | K1RL-Quasar-Volatility-75 | R_75 | 🏛️ Foundation | ⬛ Black |
| v2 | K1RL-Quasar-Crash-500 | CRASH500 | v1 | 🔵 Blue |
| v3 | K1RL-Quasar-Volatility-50-1s | 1HZ50V | v1 | 💚 Green |
| v4 | K1RL-Quasar-Volatility-100-1s | 1HZ100V | v1 | 🔴 Red |
| **v5** | **K1RL-Quasar-Volatility-75-1s** | **1HZ75V** | **v1** | **💛 Yellow** |
| v6 | K1RL-Quasar-Crash-1000 | CRASH1000 | v2 | 🌸 Pink |

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## 📊 Checkpoints

- **Dataset**: [KarlQuant/k1rl-checkpoints](https://huggingface.co/datasets/KarlQuant/k1rl-checkpoints)
- **Path**: `V100/v5/`
- **Strategy**: Resume from v5 → fallback warm-start from v1 (V75)

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*Built with PyTorch · Qiskit · Redis · HuggingFace Spaces*

**K1RL QUASAR Fleet** — *Autonomous Quantum Trading*