In the crypto market, when volatility hits, what people fear isn't just the drop—it's not knowing how much risk their scattered investments really carry: for example, borrowing money on Aave in Ethereum, providing liquidity on Raydium in Solana, and also opening futures in a certain exchange. Normally, the balances on each platform look fine, but once a major drop occurs, the leverage stacks up, and before they can react, they get forcibly liquidated. @Treehouse Official helps you solve this 'invisible and unquantifiable' problem by integrating and clarifying all investment risks.
Core function: Integrating investments into 'one risk panel'
The most practical aspect of Treehouse is that it breaks down the 'data barriers' between different chains and platforms, aggregating all your investments into a visible panel—not just calculating balances, but also helping to analyze real risks:
- One-click summary of investments: Whether it's mainstream chains like Ethereum and Solana, platforms like Aave (lending), Uniswap (trading), dYdX (derivatives), or spot and futures from top exchanges, Treehouse can aggregate scattered investments through data scraping and integration, eliminating the need for you to switch interfaces for verification.
- Three key indicators to understand risk:
- Actual profit or loss: It's not just 'the coins in hand multiplied by the current price'; it will also calculate the cost of buying coins, leverage fees, and transaction fees, providing real-time insights on whether you're in profit or loss, distinguishing between 'book profit' and 'actual cash in hand';
- Total leverage applied: Automatically clarifies which investments have leverage (like collateral leverage in lending and hidden leverage in liquidity provision), calculates the overall leverage applied, and informs you of the extent of the risk;
- What price will trigger liquidation: For investments like lending and leveraged futures that are prone to liquidation, it directly informs you, 'for example, if BTC drops to $40,000, your ETH loan on Aave will be forcibly liquidated', without you needing to calculate complex ratios.
Risk Modeling: Calculate in advance what will happen during a major drop
If the 'summary panel' shows you the current risks, @Treehouse Official risk modeling helps you calculate in advance 'what will happen during a major drop':
- Automatically distinguishing investment types: The system will identify whether your investment is lending, providing liquidity, or trading derivatives, and focus on calculating risk— for example, in lending, it will look at 'how much the collateral coin can drop before incurring losses' and 'whether the interest to be repaid changes', while for liquidity provision it will assess 'whether price fluctuations will cause losses' and 'whether the prices of coins in the pool will drop together';
- Set your own scenarios to calculate risk: You can choose scenarios yourself, such as 'BTC and ETH dropping 15%' or 'a certain token in a specific sector collapsing 30%', and the system will calculate in real time: will you gain or lose overall in this case? Which part of your investment will be liquidated first? Will the liquidation affect other investments— it's like rehearsing in advance 'what to do in case of an emergency';
- Manage on-chain investments like a stock portfolio: No need to adjust based on gut feeling; Treehouse can help you understand '50% of your risk comes from a certain LP investment' and 'maximum potential loss is 20%', just like stock investors using software to assess risk, making adjustments more data-driven.
Services for institutions: Integrated systems for automatic risk control
In addition to panels for personal users, Treehouse can also provide interfaces for crypto funds and market makers, solving the problem of 'disconnection between risk data and trading':
- Real-time connection of risk data to systems: Institutions can directly connect Treehouse's risk indicators (such as 'maximum investment for a certain coin', 'single asset risk cannot exceed', 'alert when it drops to a certain level') to their trading and risk control systems without manual data entry— for instance, if a coin is invested too heavily and exceeds the limit, the trading system will automatically halt new positions;
- Automatic response to excessive risk: More critically, it can 'monitor + execute' in one go: if a certain investment is about to be liquidated or if the calculated risk exceeds the limit, the system will automatically follow pre-set strategies (like 'reduce leverage by half' or 'add funds to the safety line'), eliminating the need for manual intervention, thus reducing errors and delays.
The crypto market is increasingly emphasizing 'finely managing risk'; not being able to see risks is scarier than bearing them. The value of Treehouse lies in using technology to bridge the information gap, allowing scattered risks to be quantified, preemptively alerted, and well-managed— individual users won’t be confused and liquidated, and institutions can effectively manage large-scale investments, which is its core utility in the market.