FAQs

We are a registered company offering a stock market forecasting tool that combines time cycles, big data analysis, and mathematical models to help traders gain an edge in the market.

Our forecasting engine can analyze a variety of markets, including stocks, currencies, futures, unit trusts, and more. However, due to current infra limitations, we primarily focus on selected U.S. stocks. As we expand, we plan to add more stocks and markets from other countries to our coverage.

Our forecasting model is unique and doesn't rely on price averaging like most competitors. Instead, we focus on time pattern analysis and treat each stock as a unique entity. There's no "one-size-fits-all" model in our approach.

No forecast is 100% foolproof. Our metrics include factors like Forecast Direction Reliability, Forecast Date Deviation, and Forecast Date Accuracy to gauge overall performance. While we provide tools and insights, it’s crucial for traders to manage risk and take responsibility for their actions. 

Ntime is best suited for Swing Traders, but other trading styles can also benefit from our forecasts, depending on the trader's skills and strategy. 

We use three key metrics to assess the accuracy of our forecasts: Forecast Direction Reliability, Forecast Date Deviation, and Forecast Date Accuracy. While results vary by stock, our historical data shows that market direction accuracy ranges from 80-90%. We focus more on predicting market direction rather than specific prices. 

In time cycle analysis, inversion occurs when a recurring pattern is disrupted or reversed. This phenomenon is challenging to predict and may affect our forecasts. Historically, inversion happens about 10-20% of the time depending on stock. Meaning that 1 or 2 out of every 10 forecasted dates might not align with expected swings. Therefore, effective risk management is essential for traders. 

We typically provide forecasts for 4 cycles in advance, which is about 1 month. Once published, we do not adjust the data unless there is an inversion or significant deviation. As time progresses, future forecast dates may be shortened as cycles pass. We will update the forecast with new dates when we approach the end of the current cycle, usually around 1 swing cycle remaining. 

As we are still in the development phase, our IT infrastructure has some limitations that can affect processing speed. We are actively working to upgrade our systems to enhance your experience. We appreciate your patience and support as we strive to provide the best forecasting services.

Forecast Direction Reliability measures how accurately our model predicts the market’s movement direction, whether up or down. This value varies by stock and forecast cycle—the higher the value, the better the model’s predictive accuracy.

Forecast Date Deviation measures how often the predicted high or low points occur on dates different from the expected ones. Expressed as a percentage, this metric helps assess the accuracy of our predictions—the lower the percentage, the better the forecast accuracy. 

Forecast Date Accuracy measures the percentage of times our model predicts the exact dates of market peaks or troughs, regardless of the direction. It shows how precise our date predictions are. The higher the percentage, the better. 

We use reports from Zoya (https://zoya.finance) to determine Shariah compliance. Our database is updated monthly to ensure it reflects the latest Zoya list. 

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No, sharing your login credentials or any information provided by us without permission is strictly prohibited. Our forecasts are the result of extensive time and effort, and they are protected as intellectual property. Sharing this information without authorization is a violation of our terms and unfair to the work that has gone into developing our forecasting tools. We may also take legal action if you share information without our authorization. 

Currently, we provide forecast dates and prices with a one-month horizon using a daily timeframe. Because of this, we don’t see the necessity for real-time ticker data at the moment. The daily ticker data we provide may have a slight delay. However, as we grow and assess system requirements, we may review this policy in the future.