Transparency Policy

algo trade notes is committed to operating with openness and honesty. This Transparency Policy explains how we make decisions, handle data, communicate with users, and govern our services. We believe that informed users are empowered users, and this document reflects our ongoing commitment to clarity in all aspects of our operations.

We recognize that trust is earned through consistent, honest communication. Our transparency commitments include:

• Clearly explaining how our services function and what they are designed to do
• Disclosing meaningful changes to our platform, policies, or terms in advance where possible
• Providing honest descriptions of our capabilities and limitations
• Acknowledging errors and communicating how we address them
• Making our policies accessible and written in plain language

Our platform provides tools and infrastructure for building, deploying, and managing conversational AI systems. We disclose the following about how these systems operate:

• Conversational AI responses are generated by machine learning models and may not always be accurate or complete
• AI-generated outputs should be reviewed by qualified humans before use in critical decisions
• Our systems do not possess consciousness, intent, or subjective understanding
• Performance and accuracy depend on the quality and scope of training data and configuration

Where our services involve automated processes that affect users or their data, we disclose:

• The nature and purpose of any automated decision-making applied to user interactions
• That users may request human review of automated outcomes where technically feasible
• The general logic behind content filtering, moderation, or quality controls applied to outputs

We collect only the data necessary to deliver and improve our services. Our data practices are governed by our Privacy Policy, which details:

• Categories of data collected from users and clients
• The purposes for which each category of data is used
• Retention periods and deletion procedures
• Third parties who may process data on our behalf

We are transparent about how user interactions may contribute to service improvement:

• We will always disclose if interaction data is used to train or fine-tune AI models
• Users and clients will be informed of their options to opt out of such use
• Aggregated or anonymized data may be used for research and quality assurance purposes

We use third-party providers for infrastructure, analytics, and support functions. We disclose the categories of such providers and ensure they operate under data processing agreements consistent with our standards. We do not sell user data to third parties.

We are committed to clear and honest commercial communication:

• Pricing for our services is published clearly and updated with reasonable notice before changes take effect
• Any fees, limitations, or conditions attached to free tiers or trial periods are disclosed upfront
• We do not engage in hidden charges or automatic upsells without explicit user consent
• Promotional terms and conditions are clearly stated and not misleading

When we update our policies or terms of service, we will:

• Notify users through appropriate channels before changes take effect
• Clearly summarize what has changed and why
• Maintain an accessible record of previous policy versions upon request
• Provide a reasonable period for users to review changes before they apply

We implement technical and organizational measures to protect user data and service integrity. While we do not publicly disclose implementation details that could create security risks, we are committed to transparency about our general security posture and the standards we follow.

In the event of a security incident that affects user data or service availability, we commit to:

• Notifying affected users and clients as promptly as reasonably possible
• Describing the nature of the incident, data involved, and steps taken to address it
• Providing guidance on actions users can take to protect themselves
• Conducting a post-incident review and sharing relevant findings where appropriate

Our services are subject to Acceptable Use policies that define prohibited content and behaviors. We are transparent about:

• The categories of content and use cases that are not permitted on our platform
• The general process by which violations are identified and acted upon
• The actions we may take in response to policy violations, including suspension or termination
• The process by which users may appeal or contest enforcement decisions

We disclose material relationships that could influence our recommendations, partnerships, or service design. Where we have commercial relationships with third-party tools or integrations featured in our platform, this will be clearly indicated. Our editorial and product decisions are not for sale.

We maintain internal processes for reviewing compliance with this policy and our broader commitments. Responsibility for transparency practices is assigned to designated roles within our organization.

We welcome feedback on our transparency practices. If you believe we have fallen short of the commitments described in this policy, you are encouraged to contact us. We will review concerns and respond in good faith.

This policy describes our intentions and general practices. There may be circumstances in which full disclosure is not possible, including:

• Legal obligations that restrict what we may share
• Confidentiality obligations owed to other clients or partners
• Security considerations that require limiting public disclosure
• Ongoing investigations where premature disclosure could cause harm

In such cases, we will disclose that a limitation exists even if we cannot explain its full nature.

If you have questions about this Transparency Policy or our practices, please contact us:

• Company: algo trade notes
• Email: support@algotradenotes.com
• Phone: +886 3 479 1976
• Address: No. 63號, Sanduo 2nd Rd, Lingya District, Kaohsiung City, Taiwan 802
• Website: algotradenotes.com