Not every user who joins a trading platform wants to hand control over to a bot immediately.
Some simply want better market information. Others need alerts. More experienced users may eventually want exchange APIs, custom strategies, backtesting or automated execution.
Libre Creditance is interesting because its tools can be approached in exactly this modular way.
Its FAQ explicitly states that automated features are optional. Users can work with the platform purely for analysis or alerts and expand into more advanced functionality later.
That makes Libre Creditance more useful as a progressive trading toolkit than as a simple “switch on the AI and forget about it” product.
Start with market research rather than automation
Libre Creditance has a dedicated AI research environment built around organising market information.
According to the platform, its technology can continuously monitor available market data, identify notable changes and present information in a more structured format. It is designed for users who have limited time for manual research or want a more organised way to follow markets.
This is one of the most practical uses of financial technology.
Instead of manually checking the same markets throughout the day, users can let the platform handle part of the repetitive monitoring.
The final interpretation still remains with the user.
AI does not have to make the final decision
An important clarification appears on Libre Creditance’s own AI page.
When asked whether AI automatically makes decisions, the site says its AI analyses and organises market information while the user remains responsible for decisions.
This is a much more useful framing than treating automation as a substitute for judgement.
Technology can process data quickly.
It can highlight changes.
It can follow multiple markets continuously.
But the user still determines how much risk to take and whether a particular strategy makes sense.
Follow both stocks and cryptocurrencies
Libre Creditance is not limited to a single digital asset.
Its AI tools are positioned around monitoring both stocks and cryptocurrencies, while separate sections explain how users can research each market.
That gives the platform broader utility.
A user interested in equities can follow stock-market activity while also keeping track of digital assets within the same general workflow.
For investors researching several asset classes, this can be considerably more convenient than maintaining completely separate systems.
Crypto markets are where continuous monitoring makes particular sense
Cryptocurrencies trade around the clock.
Libre Creditance highlights this as one of the reasons technology-assisted monitoring can be useful.
The crypto section is designed to organise market information and help users follow notable changes without manually tracking every movement.
This can reduce one of the most exhausting habits in crypto trading: repeatedly checking prices throughout the day and night.
The platform can instead monitor predefined conditions while the user focuses on situations that actually require attention.
Analysis-only mode is a real option
One of the strongest details in the FAQ is that automation is not mandatory.
Libre Creditance specifically describes three possible usage styles:
- analysis only;
- alerts;
- adjustable settings.
This makes the product much easier to approach.
A beginner does not have to configure a sophisticated trading strategy immediately.
They can first learn how the market-monitoring tools work and only add complexity when they feel comfortable.
Alerts can already remove a lot of manual work
After connecting an exchange, users can configure:
- trading pairs;
- price conditions;
- alerts and notifications.
For many traders, this may be enough to improve their workflow significantly.
Instead of opening the same chart ten times per day, they can define what actually matters.
The platform then becomes a monitoring assistant rather than another screen that needs constant attention.
Connect an existing cryptocurrency exchange through API
Users who want to move beyond passive research can connect an exchange account through an API key.
This is important because Libre Creditance does not require the user to abandon an existing exchange setup.
The platform can act as an additional analytical and automation layer.
That is especially useful for people who already trade through a familiar exchange but want more structured monitoring or strategy tools.
Assets stay on the exchange
The Getting Started documentation makes a particularly important point:
Libre Creditance says it does not hold or manage client funds in this API setup.
Assets remain in the user’s own exchange account, and custody and withdrawals are handled through the relevant cryptocurrency exchange.
This separation makes the architecture easier to understand.
Libre Creditance provides the technology layer.
The exchange continues to handle asset custody.
Do not enable withdrawal permissions
Libre Creditance recommends creating API keys without withdrawal permissions.
This is one of the best security recommendations on the website.
A trading application may need permission to:
- read account data;
- monitor positions;
- place orders.
It usually does not need unrestricted permission to transfer assets away from the exchange.
Limiting API permissions reduces the potential impact of a compromised key.
Binance, Coinbase Pro and Kraken integrations
The current fee documentation lists API integrations with:
- Binance;
- Coinbase Pro;
- Kraken.
Libre Creditance currently lists the platform-side API integration fee for these connections as AED 0.
Actual exchange trading fees remain subject to the exchange itself.
This separation is useful because it distinguishes the cost of Libre Creditance from the cost of executing orders on an external venue.
Move from alerts to automation gradually
Libre Creditance itself recommends starting with essential features and gradually expanding usage.
That is probably the best way to use the platform.
A logical progression could look like this:
Stage 1: Research
Use AI-organised market information.
Stage 2: Alerts
Define specific prices or conditions worth monitoring.
Stage 3: API connection
Connect an existing exchange account.
Stage 4: Strategy testing
Experiment with custom rules and historical data.
Stage 5: Automation
Only automate parts of the process that are already understood.
This approach allows the technology to grow with the user’s experience.
Custom strategies without coding
Libre Creditance also presents a visual strategy builder.
Users can create their own strategies through a drag-and-drop interface without traditional programming.
The platform says users can define:
- entry rules;
- exit rules;
- risk parameters.
That is useful for people who understand trading logic but do not know how to build their own software bot.
Backtesting before live deployment
Custom strategies can also be tested against historical data before being used in live trading.
Backtesting can help reveal obvious weaknesses.
For example:
- too many trades;
- poor exit conditions;
- excessive risk;
- bad behaviour during volatile periods.
Historical performance naturally cannot predict future results.
But testing a rule set before deploying it is far more structured than activating an untested strategy immediately.
Demo access lowers the learning barrier
The website also promotes demo access for users who want to explore how its bots and platform tools behave before live usage.
This fits well with the modular approach.
Users can learn what different settings actually do before taking on real market exposure.
For beginners, that can be much more useful than reading technical descriptions alone.
Several strategy styles are presented
Libre Creditance references multiple trading approaches, including:
- scalping;
- swing trading;
- arbitrage;
- long-term investing.
This reinforces the idea that there is no single universal trading configuration.
Different market environments may require completely different logic.
A long-term investor should not necessarily use the same settings as someone trading short-term volatility.
Security gets its own detailed section
Libre Creditance publishes a substantial security page rather than treating security as a single marketing bullet.
The measures described include:
- multi-factor authentication;
- 2FA;
- SSL/TLS encryption;
- encrypted stored data;
- session management;
- login notifications;
- suspicious-login monitoring;
- automated fraud detection.
This is appropriate for a platform that can connect to external exchange accounts.
Two-factor authentication
The platform recommends TOTP-based 2FA using authentication apps such as Google Authenticator or Authy.
This should be one of the first settings users enable.
If a password is exposed, the second authentication factor can prevent an attacker from simply logging into the account.
Suspicious behaviour is monitored
Libre Creditance says its systems can monitor patterns including:
- unusual IP addresses;
- sudden increases in account access;
- simultaneous logins;
- rapid changes in trading patterns.
Suspicious activity may trigger additional verification or temporary restrictions.
This adds another layer beyond password and 2FA protection.
Personal support for users who prefer human assistance
Libre Creditance is not entirely self-service.
Its Personal Support section offers individual assistance with:
- account setup;
- initial onboarding;
- platform tools;
- account methods;
- updating account details;
- general feature questions.
This is useful because API connections and trading automation can feel complicated for first-time users.
Having someone explain the setup can make the transition much easier.
Basic platform access currently costs AED 0
The fee page lists basic platform access at AED 0 with no monthly fee.
Optional premium analytics are currently listed at AED 1,100.
Automated trading has its own pricing structure:
- Basic Automated Trading: 10% performance fee;
- Pro Automated Trading: 15% performance fee;
- Fixed Subscription Plan: AED 60 per month.
This lets users separate free basic access from paid advanced features.
Electronic deposit methods are broad
The Deposit & Withdrawal page lists several methods, including:
- PayPal;
- Visa;
- Mastercard;
- Apple Pay;
- Google Pay.
These are currently displayed as free and instant on the platform side.
Bank and provider fees can still vary depending on the service used.
Withdrawal procedures are documented separately
Libre Creditance also maintains a formal withdrawal policy.
It lists possible withdrawal routes such as:
- bank transfer;
- approved digital wallet;
- linked cryptocurrency exchange.
The policy states a typical processing window of 24–72 business hours, depending on method, verification requirements and other factors.
KYC documentation may also be required before a withdrawal can be completed.
There is an important distinction between the product and the marketing
The homepage contains highly aggressive promotional claims, including very large alleged earnings and testimonials describing exceptionally rapid gains.
These should not be treated as verified performance expectations.
Libre Creditance’s own FAQ states that profits and investment results are not guaranteed, while its risk documentation discusses volatility, execution risk, system outages, API limitations and third-party risks.
For a serious evaluation, the platform’s actual tools are much more useful than the headline earnings examples.
Some editorial inconsistencies remain
The homepage still contains several references to Astrax instead of Libre Creditance.
There are also different office presentations across the site.
The Company page lists a Dubai location, while the Contact page lists offices in São Paulo, Tokyo and Zagreb.
These look like content-management or template inconsistencies and should ideally be cleaned up.
Users who rely on corporate-location information should verify it independently.
Understand Libre Creditance’s formal role
Another important detail appears in the legal footer.
The website describes itself as a general informational and marketing platform and says its operators do not themselves provide trading, brokerage or investment services. Registration information may be shared with third-party providers offering education, training or analytical services.
That means any external financial provider should be reviewed separately.
Libre Creditance itself is better evaluated as an analysis, information and trading-technology layer.
Who is Libre Creditance best suited for?
Libre Creditance can be particularly relevant for users who want to:
- begin with market research rather than immediate automation;
- follow both stocks and cryptocurrencies;
- receive alerts instead of constantly checking markets;
- connect an existing exchange through API;
- keep assets on their exchange account;
- disable API withdrawal permissions;
- create strategies without coding;
- backtest rules;
- experiment with demo functionality;
- introduce automation gradually;
- access personal onboarding support.
The flexibility to use only the features required at each stage is one of the strongest aspects of the product.
Our view on Libre Creditance
Libre Creditance makes the most sense as a modular market-research and automation platform.
Users are not forced to begin with automated trading.
They can start with AI-organised market information and alerts, then connect an exchange API and experiment with more sophisticated tools only when they are ready.
The no-custody API setup is another important advantage: Libre Creditance says assets remain at the user’s exchange, while it explicitly recommends disabling withdrawal permissions on connected API keys.
Its visual strategy builder, backtesting and demo functionality provide a logical next step for users who eventually want more automation.
For users who prefer to increase complexity gradually rather than hand everything to a trading bot on day one, Libre Creditance offers a coherent workflow:
research first, configure alerts second, connect the exchange when needed, test strategies and automate only the parts you actually understand.

Quantitative market analyst and AI trading systems researcher with over a decade of experience in algorithmic finance and digital asset markets. His work focuses on how machine learning and data-driven models can improve trade execution, risk control, and market efficiency in highly volatile environments. At Evolution Zenith, Alex writes about the practical application of artificial intelligence in modern trading and the technologies shaping the future of global markets.