In the freelance model, income varies periodically depending on the project flow. Kazançtunç is an analysis platform that provides concrete data for your decision process when evaluating your savings by backtesting past market data.
Discover NowIn the dashboard, you view the historical test results, risk score and recommended entry conditions of your chosen strategy on a single screen.
Market movements are often perceived as danger. However, the real determining factor is whether there is historical data and analysis capacity to interpret that movement. A decision made without data becomes closer to a prediction; The decision supported by data is based on a measurable basis.
Kazançtunç detects patterns by continuously processing extensive market data and compares these patterns with results from previous periods. While you focus on your project deadlines, the system filters potential opportunities in the background and provides a summary evaluation.
This approach creates a decision support model that does not require manual tracking; The final decision always belongs to the user.
Kazançtunç does not provide investment advice; It is a platform that produces decision support outputs based on systematic analysis of historical data. All indicators used in the modeling process are presented along with records of how they performed in previous periods.
This transparency allows users to review underlying data before accepting recommendations. The aim is to enable freelancers to support their savings decisions with data while allocating their limited time to project work.
Each component is designed to shorten the decision process for freelancers with limited time.
The system calculates possible scenarios by processing past price movements and associated indicators. This way, you save time by going through a prioritized list instead of researching each opportunity one by one.
Each strategy recommendation is presented with results tested against historical data. In this way, before accepting the suggestion, you can make a data-based decision by seeing what results have occurred in the past under similar conditions.
A risk score is created for each opportunity by calculating volatility, possible loss range and historical sensitivity. This clarifies how much of your capital you are positioning and under what circumstances.
You will receive notifications when market conditions reach the thresholds you set. You don't need to constantly monitor the screen while working on the project; The system notifies you when the condition occurs.
The process consists of verifiable steps; The output of each stage is the input of the next stage.
Historical and current data from different market sources are collected at regular intervals and converted into a standard format.
Within the collected data set, past recurring price and volume patterns are detected using statistical methods.
Detected patterns are compared with current market conditions and ranked according to the degree of similarity.
The results, along with historical test data and risk score, are presented as a structured recommendation to help you make a decision.
The following scenarios show how you can use the platform's decision support functionality in different contexts.
When you want to review the risk distribution of the assets you hold, the system offers balancing position recommendations based on historical correlation data. The aim is to reduce dependence on a single asset class.
You can utilize the gap between project deliveries with strategies that are low-risk and have yielded stable results in the past. The process proceeds without requiring active monitoring; You confirm the decision.
When you plan to open a new position, you can support your timing decision by examining which entry points have yielded more stable results under similar conditions in the past.
User data is transmitted over encrypted connections and access is limited to authorized system components only. The platform keeps data sharing with third parties only to the minimum level necessary for the operation of the service.
The model works on publicly available market data and historical price movements. The data sets used are updated regularly and backtest results are calculated based on these data sets.
The platform presents decision support outputs in an independent panel. The transaction execution step is done through the brokerage firm or platform of the user's choice.
No. Kazançtunç is a decision support tool that offers pattern analysis based on historical data. Past performance is not indicative of future results; The final investment decision and responsibility belongs to the user.