When the market is hot, look at rises and falls; when the market brakes, look at structure. What truly determines the profit and loss curve is not a single candlestick, but how positions are distributed, how cash flow moves, and where the risk boundaries are. Treehouse brings these three aspects to the forefront: positions, liabilities, cash flow, and liquidation ranges across multiple chains and protocols are unified into a 'replayable fact layer', where you obtain evidence first before discussing viewpoints.
Translate contract semantics into financial semantics.
On-chain events include transfers, minting, redemptions, and calls. Decisions require cash flow, rights and obligations, and risk boundaries. Treehouse performs analysis and playback at the data layer: breaking down LP shares and market-making fees, Pendle-type income, and re-staking into the distribution mapped to net value, duration, leverage ratio, correlation, and exposure attribution metrics. You no longer say 'I feel like I made money', but can say 'This week's returns mainly came from term basis and market-making fees, with limited contributions from volatility premium', naturally knowing at what thresholds to take profits or increase positions.
Static screenshots are not enough; look at timelines and tail risks.
Averages can be misleading; tail data reveals the truth. Treehouse places net cash flow, liquidation heat maps, collateral rate ranges, fee distribution, and LP share changes on the same timeline, highlighting the failure rates and confirmation delays of P95/P99. A practical process: first check if the returns over the last 7 days are skewed by a single factor, then see if net cash flow and prices are moving in the same direction, and finally check if the liquidation range is moving towards a danger zone. If P99 confirmation delays rise to more than 1.6 times the usual and persist for 4 hours, while LP net outflow expands in a single day, your strategy should enter 'deleveraging observation' even if the accounts are still rising.
Solidify the rules, so execution relies less on emotions.
Discipline must rely on thresholds. Treehouse supports turning indicators into triggers: LP shares declining by ≥8% in a single day without a buyer triggers a 20% reduction; portfolio correlation >0.75 maintained for 48 hours triggers deleveraging; positions within the liquidation range >15% automatically adjust the collateral rate; P95 fees > normal × 1.5 lead to a pause on new positions. Writing these parameters into the dashboard and daily reports allows each action in the review to be traced back to 'evidence + threshold', rather than 'felt it should move at the time'.
A small sample that can be reviewed.
Assuming you have a dual strategy of 'basis regression + stable market making'. Treehouse attribution shows that the main source of returns in the last three days comes from basis regression, but there are two points lighting up on the timeline: market-making pool LP shares have been down 6% for two consecutive days, and TVL has not synchronized to replenish; the P99 confirmation during volatile periods has been delayed to a normal 1.7 times. According to the preset trigger, the system recommends reducing the market-making leg by 20% and lowering the maximum exposure of the basis leg from 30% to 22%, while raising the liquidation threshold by 5 percentage points. Three days later, the market rebounds, and the maximum drawdown of the portfolio is controlled at -2.3%, lower than the historical average of -4.0% for the same strategy. This is not a prophecy, but a replicable link formed by connecting 'structural signals → action thresholds → review traces'.
Organizational-level collaboration and compliance: Keep track of 'who changed what when'.
The portfolio becomes the 'first citizen', and auditing and collaboration are hard requirements. Treehouse leaves a chain of evidence for each position change: operator, timestamp, change content, recalculation of risk control boundaries, and impact on net value curves; snapshots at any point can be restored, and details exported directly to internal control systems. Research, trading, risk control, and governance finally converse from the same source of truth, shifting discussions in the meeting room from 'feeling right or wrong' to 'whether there is sufficient evidence'.
Boundaries and trade-offs: state things upfront.
The analysis template for new protocols needs refinement. If anomalies occur, first revert to original transactions for verification; cross-chain and aggregation routing may lead to temporary discrepancies; since the re-staking link is long and involves multiple participants, the amplification effect of extreme events should be embedded within a buffer zone in the thresholds. The platform reduces information and execution friction but will not bear the responsibility for pricing and assumptions; position discipline and risk control remain the team's responsibility.
Writing suggestions: conclusions first, evidence layered, signals traceable.
For team and CreatorPad scoring, it is recommended to use the 'conclusions first + evidence layered + signal points' template: the first three sentences state the core judgment; the middle section includes two charts (structure chart + timeline) explaining why; then list two or three traceable signals and action thresholds; finally clarify boundaries and next observation points. Opinions that can be verified, actions that can be replicated, and boundaries that are clearly stated deserve high scores for 'creativity, professionalism, and relevance'.
Using Treehouse's goals is not to make the dashboard fancier, but to turn 'I thought' into 'I can prove', and 'occasionally right' into 'replicable'. When the team shares the same fact layer and threshold system, drawdowns are shallower, iterations are faster, and win rates are more stable.