How Does Storm Trade Work?

Derivatives|Risk C|7 mechanisms|4 interactions

Storm Trade is the first decentralized perpetual exchange on the TON blockchain, accessible directly through Telegram as a mini-app. It allows users to trade crypto, stocks, forex, and commodities with up to 50x leverage. Liquidity providers deposit a single token into the SLP vault and earn 70% of trading fees as passive income. The protocol uses a buffer reserve system to absorb volatility and protect LP returns. Price feeds come from Pyth Network and Stork, transmitted cross-chain via Wormhole. STORM token stakers earn 30% of protocol trading fees.

TVL

$6M

Sector

Derivatives

Risk Grade

C

Value Grade

D+

Core Mechanisms

4.1.5

SLP vault pool-to-peer perpetual exchange on TON with up to 50x leverage across crypto, stocks, forex, and commodities

SLP vault acts as counterparty to all trades. Single-token liquidity provision. Buffer reserve fund absorbs volatility. 70% of trading fees distributed to SLP holders.

6.4.4

Novel

Multi-source oracle: Stork and Pyth aggregated index price with outlier filtering, cross-chain via Wormhole

Index price calculated from aggregated Stork and Pyth data with volume weighting and outlier removal. Pyth data transmitted from Solana to TON via Wormhole bridge. Novel cross-chain oracle pipeline.

6.3.2

Automated liquidation with liquidation penalties flowing to SLP vault

Leveraged positions liquidated when margin falls below threshold. Liquidation penalties contribute to SLP vault revenue.

2.2.4

Revenue split: 70% of fees to SLP holders, 30% STORM stakers earn additional protocol revenue share

Trading fees, liquidation penalties, funding fees, and rollover fees collected by vault. 70% to LPs, protocol takes remainder. STORM stakers earn 30% of trading fees.

5.1.1

STORM governance token with staking for 30% protocol revenue share

STORM token provides governance and revenue sharing. Stakers earn 30% of trading fees. Token sale conducted via Magic Launchpad.

2.3.3

Buffer reserve fund within SLP vault to absorb sharp price fluctuations and trader profits

Buffer accumulates from platform revenues, creating a cushion for high volatility periods. Prevents sharp SLP price fluctuations from large trader wins.

7.1.1

Novel

SocialFi components integrated into Telegram mini-app for trading and community engagement

Storm Trade operates as a Telegram mini-app, integrating social elements with trading. Novel distribution channel through Telegram's user base on TON.

How the Pieces Interact

Cross-chain oracle (Pyth via Wormhole)↔50x leverage positionsHigh

Price data travels from exchange sources through Pyth on Solana, across Wormhole bridge to TON. Each hop adds latency. At 50x leverage, the cumulative oracle delay creates significant exploitation windows during volatile markets.

SLP vault counterparty model↔Multi-asset trading (crypto, stocks, forex, commodities)High

The SLP vault is counterparty to all asset classes. A large directional move in any asset class (e.g., forex during macro events) drains the vault. LPs are exposed to asset classes they may not have intended to take counterparty risk on.

TON ecosystem immaturity↔No top-tier security auditMedium

TON smart contracts use a different language (FunC/Tact) with fewer auditing tools and auditor expertise compared to Solidity. Combined with no top-tier audit, the probability of undiscovered vulnerabilities is elevated.

Buffer reserve fund↔Sustained trader profitabilityMedium

The buffer reserve is designed to cushion LP losses, but if traders are persistently profitable, the buffer depletes. Once the buffer is empty, SLP holders face direct losses that cause sharp NAV drops and potential bank-run-style redemptions.

What Could Go Wrong

  1. Complex cross-chain oracle pipeline (Pyth via Wormhole from Solana to TON) introduces multiple points of failure for price feed accuracy; oracle latency across chains creates exploitation windows at 50x leverage
  2. SLP vault acts as counterparty to all trades with limited buffer reserves; persistent trader profitability directly drains LP value, and the TON ecosystem has thinner DeFi liquidity than EVM chains
  3. No top-tier security audit completed; the TON smart contract ecosystem is less mature and less audited than EVM, increasing the risk of undiscovered vulnerabilities

Cross-Chain Oracle Failure During Market Crash

Moderate

Trigger: Wormhole bridge delay or Pyth oracle lag during major market crash creates stale prices on TON

  1. 1.Rapid market crash causes high load on Pyth and Wormhole infrastructure — TON-side price feeds lag significantly behind real market prices
  2. 2.Traders exploit stale prices to open favorable leveraged positions — Positions opened at old prices are instantly profitable when oracle catches up
  3. 3.SLP vault absorbs outsized losses from stale-price trades — Buffer reserve depleted, SLP NAV drops sharply
  4. 4.SLP holders rush to redeem — Remaining LPs face accelerating losses as liquidity thins
See all 2 collapse scenarios in the full risk report →

Risk Profile at a Glance

Mechanism Novelty5/15
Interaction Severity8/20
Oracle Surface7/10
Documentation Gaps4/10
Track Record10/15
Scale Exposure0/10
Regulatory Risk4/10
Vitality Risk6/10
C

Overall: C (44/100)

Lower score = safer

More on Storm Trade

Is Storm Trade Safe?

Safety analysis

Is Storm Trade a Good Investment?

Value analysis

Full Risk Report

All mechanisms & interactions

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