Nirbhôr Ongshamika analyzes real-time market data to identify risks and clarifies the rationale behind each decision, so you can move based on information, not haste.
Thousands of data points are processed daily to produce a concise, understandable report — not a pile of complicated charts.
Nirbhôr Ongshamika is an analytics and decision-support platform that makes institutional-level data analytics accessible to traders and individual investors in Bangladesh.
Market volatility, regulatory framework and data security — the system has been developed with separate emphasis on these three factors, so that even cautious investors can use the technology with ease.
International markets and crypto asset movements change within hours. It is not practical for one person to manually monitor data from hundreds of sources every day, and this lag often leads to hasty decisions.
Pricing, news and regulatory announcements are spread across different platforms, making it difficult to get the full picture.
When the market suddenly fluctuates, many investors abandon the plan and make immediate reaction decisions, which can lead to losses in the long run.
It is also a big challenge for Bangladeshi investors to verify that the procedure is conducted within the rules.
The three pillars — analytics, security and compliance — work together to ensure your decisions are informed and your information is secure.
Potential trends are identified by analyzing historical price movements, trading volume and market sensitivity together. Results are presented in straightforward summaries, so that technical jargon does not create obstacles.
Every account and transaction information is protected with military-grade encryption. Sensitive information is never shared unsecured, and access is controlled through multiple layers of verification.
The operating procedures of the platform are structured in accordance with the applicable financial regulatory guidelines. Before any decision or recommendation is given, it is checked whether it is consistent with prevailing policy.
The process behind each recommendation is divided into three steps to maintain transparency.
Market prices, transaction volumes, news and regulatory announcements — information is collected consistently from multiple sources, so as not to create over-reliance on any single source.
Irrelevant and overly volatile signals are eliminated from the collected data, so that decisions are made based on stable trends rather than baseless hunches.
The results of the analysis are converted into a specific recommendation tailored to your investment goals and risk tolerance, with the rationale for each recommendation noted.
The goal is not to maximize profits, but to protect capital against unexpected losses. AI takes the role of a watchful observer here, not promising quick profits.
The system generates alerts when abnormal price fluctuations are detected, so that decisions can be made based on situational analysis rather than emotion.
Predefined thresholds can be defined for each location, which are triggered by predefined rules when the threshold is exceeded.
Allocation of risk between different asset classes is taken into account while making recommendations, so that a decline in one asset does not expose the overall position to major losses.
All personal and transactional information is stored with military-grade encryption and access is controlled through a multi-level verification process. Information is never sold to third parties.
No forecasting model can offer 100% certainty, and Nirbhôr Ongshamika makes no such promise. The aim of the platform is to make logical probabilities based on data, so that decisions can be made based on analysis rather than guesswork.
Withdrawal requests go through a verification process, which is conducted following applicable regulatory policies. Detailed information on processing times and steps is provided during account activation.
Request a demo to see an analytics system powered by encrypted infrastructure and regulatory compliance — with no commitments.
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