Overview
1. What is Alura?
Crypto trades 24/7. Humans do not. Traditional discretionary trading breaks down under fatigue, emotion, and inconsistent decision‑making. Alura solves this by turning discipline into code.
Key Features
- AI‑driven but rule‑bound discipline engine - Mathematical constraints, not predictions
- Non‑custodial - Your funds remain on Hyperliquid
- On‑chain execution - Transparent and verifiable
- Deterministic risk and leverage logic - No randomness, pure mathematics
- No dashboards, no signals, no manual micro‑management - Set it and forget it
Alura is not a prediction bot or a signal group. It is execution infrastructure: a mathematically constrained agent that enforces your discipline profile 24/7.
2. Our Thesis
"Prediction wins sometimes. Discipline wins most of the time."
Rather than forecasting the market, Alura operates as a rule‑bound economic agent whose behavior is fully determined by a global constraint vector and a small set of deterministic filters.
The Discipline Profile
I = { B, P, L, N }
Where:
- B — Total trading budget
- P — Profit goal
- L — Maximum tolerable loss
- N — Maximum number of concurrent positions
3. Quick Start
This section describes the high‑level user journey. All steps assume the user already has a compatible wallet and is comfortable interacting with on‑chain applications.
Step 1 — Open Alura
Navigate to the official Alura platform:
- Website: https://alura.fun/
- Telegram Bot: Access via the website
From here, you can access documentation, the Telegram interface, and relevant links into the Hyperliquid ecosystem.
Step 2 — Create Trading Account
Connect your wallet (MetaMask or Backpack) and create your Alura trading account.
Alura is strictly non‑custodial: your funds remain in your own wallet.
Step 3 — Deposit USDC from Arbitrum to Hyperliquid
Deposit USDC from Arbitrum or transfer from your other Hyperliquid trading account. This balance becomes the capital that Alura can allocate according to your discipline profile.
Step 4 — Configure Your Discipline Profile
Alura requests four core inputs which together define all future trades:
| Parameter | Description |
|---|---|
| Budget | Total capital allocated to the Discipline Engine |
| Profit Goal | Desired profit per trade or per cycle, expressed as a target return |
| Loss Threshold | Maximum aggregate drawdown you are willing to tolerate |
| Max Positions | Maximum number of simultaneous open positions (N) |
These inputs are transformed into your Discipline Profile and propagated through the mathematical framework that governs position sizing, leverage bounds, and TP/SL derivation.
Step 5 — Autonomous Trading
Once configured, Alura continuously monitors the market. When conditions match your Discipline Profile and the Market Outlook Score (MOS) thresholds, Alura:
Enters trades automatically (LONG or SHORT) when all filters validate
Adjusts leverage within a constrained feasible range
Sets take‑profit and stop‑loss based on volatility‑aware bounds
Tracks drawdown and per‑position risk in real time
Enforces position count limits and cooldown logic
Logs all actions transparently on‑chain and via Telegram notifications
No dashboards. No emotions. No human delays.