아파트 인사이트

홍재석

About this app

We analyze downside risks and time-specific risk signals for complexes of interest using actual apartment transaction prices and 18 macroeconomic indicators.

With uncertainty in the real estate market at an unprecedented level, what criteria are you using to decide on purchasing a home and managing your assets? Are you making the biggest financial decision of your life relying solely on past transaction price charts or qualitative market forecasts?

'APT Insight' is a data-driven real estate simulation platform that goes beyond a simple listing of past transaction prices. It integrates 18 macroeconomic indicators and statistical models to analyze downside risks and time-specific risk signals for apartment complexes of interest.

Instead of making choices based on intuition, establish rational judgment criteria amidst market volatility based on numbers and data.

[4 Major Paradigm Shifts in Real Estate Analysis]

1. Historical History Inquiry -> Future Price Simulation

Moving beyond the traditional method of simply checking actual transaction prices, we directly simulate virtual future scenarios to see how the support price of a complex of interest will change when tomorrow's interest rates or exchange rates fluctuate.

2. Vague Optimism -> Mathematical Downward Support Lines

Assuming a scenario where the market experiences a sharp decline or a prolonged slump, we calculate downward support lines that can be used as a conservative reference. This serves as a quantitative basis for assessing price pressure and carefully formulating trading plans.

3. Opaque Models -> Disclosure of Backtest Accuracy

Unverified figures are difficult to trust. We return to specific historical points in time for individual complexes to derive simulation values, then compare them one-to-one with actual transaction prices subsequently concluded. We transparently disclose the model's consistency through error rate figures.

4. Standardized Reports -> AI-Personalized Risk Verdicts

Based on your available funds, projected loan interest rates, and moving timeline—rather than the conditions of others—a generative AI advisor diagnoses a comprehensive risk review report (Verdict).

[Key Features Guide]

[1] Analysis Linked to 18 Key Economic Variables

Organically weights and combines macroeconomic factors—such as mortgage interest rates, the KRW/USD exchange rate, Brent crude oil prices, construction cost index, KB Buying Advantage Index, and household debt ratio—with complex-specific indicators like the Jeonse ratio, proximity to workplaces, and transportation convenience.

[2] Analysis of Over 10,000 Probability Distributions

Mathematically reproduces random market volatility to simulate over 10,000 virtual scenarios. It calculates the probability of reaching the user's budget range, along with the price spectrum for pessimistic, equilibrium, and optimistic scenarios.

[3] Error Correction Mechanism Controlling Volatility Distortion

Incorporates a statistical error correction model to prevent the model from being distorted by sudden market shifts or temporary abnormal trading (noise). By buffering short-term discrepancies and calculating the flow toward a return to long-term equilibrium prices, it maintains consistent downside support prices even in overheated phases. [4] Transparent Data Consistency (Backtest)

You can instantly check historical price comparison data for each complex within the analysis screen. Verify the model's margin of error against actual transaction prices directly as a percentage.

[5] AI Personalized Verdict

By combining savings amounts, moving timelines by life cycle, expected interest rates, and macroeconomic stress test scenarios, a generative AI assistant provides intuitive risk assessment verdicts.

[6] Sharing Analysis Results (Simulation/Complex Prices)

Share analysis results with a single link. Simulation results are created as public links containing snapshots at the time of sharing, allowing recipients to view the same price spectrum and scenario results without installing the app or logging in.

[7] Home Screen Widget Support

You can monitor price trends and real-time fluctuations for complexes of interest directly from the home screen without opening the app. Tapping the widget takes you directly to the corresponding complex screen.

[Use in these situations]

- Prospective non-homeowner buyers: "Is the current transaction price overheated? Where is the downside support range to refer to?" - Single-home owners: "How will the price burden of my apartment change if interest rates rise further?"

- Real estate enthusiasts: Those who want to verify their decisions using quantitative indicators and historical consistency data, rather than relying on recommendations from acquaintances or intuition.

- Household finance planners: Those who wish to review a feasible purchase plan by applying it to their income, savings schedule, and repayment ability.

**Disclaimer and Disclaimer:** All price simulation results and AI verdicts provided by Apartment Insight are 'data for decision-making reference' based on statistical analysis models and do not guarantee specific values ​​or recommend transactions. The ultimate responsibility for any losses and risks that may arise in actual real estate contracts and financial transactions lies solely with the parties involved; therefore, please exercise caution when making decisions.

What’s new

아파트 인사이트 0.6.6 업데이트입니다.

Android 홈 화면 위젯에 최근 실거래 건수와 대표 평형을 함께 표시합니다. 내 아파트별 대표 평형을 선택하면 홈·상세·시뮬레이션·공유 결과에서 같은 기준으로 확인할 수 있습니다. 평형·거래 조건 비교, 실거래 데이터 갱신 상태, 거래가 부족한 단지 안내를 개선했습니다. 금리·보유세·거래비용 시나리오와 AI 분석, 예측 이력·알림 표시도 정리했습니다. 공개 검증 지표는 R² 0.654, 가격 MAPE 5.69%, 가격 변동률 기준 평균 절대 오차 4.72%p(2,339건)이며 과거 수치는 참고용입니다.