Robust Risk Management

Our Approach

Our independent, centralized risk management function ensures robust oversight and clear segregation between trading and control responsibilities. We embed dynamic, multi-layered risk controls, supported by exogenous risk monitoring.

Key Pillars

Systematic Risk Management

Multi-level controls to balance risk with return optimization.

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Pre- and Post-Trade Checks

Enforce compliance with limits.

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Portfolio-Level Mitigation

Diversification across strategies, assets, factors, horizons, and insights to reduce correlation and enhance resilience.

Diversification across strategies, assets, factors, horizons, and insights to reduce correlation and enhance resilience.


Our solution

Your stack

Our solution

Your stack

Our solution

Your stack

Operational Risk Management

Automation and reconciliations to minimize
exposures.

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

Sales system

Up to date

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

Sales system

Up to date

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

Sales system

Up to date

High-Frequency Adaptive Controls

Operate within seconds for intraday strategies.

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Exogenous Monitoring

Inclusion of strategies that benefit from risk-off moves.

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Through this proactive approach, we mitigate strategy decay, ensure liquidity, and deliver resilient performance.



Through this proactive approach, we mitigate strategy decay, ensure liquidity, and deliver resilient performance.



Through this proactive approach, we mitigate strategy decay, ensure liquidity, and deliver resilient performance.



Through this proactive approach, we mitigate strategy decay, ensure liquidity, and deliver resilient performance.




By Octanom Tech Pvt. Ltd
SEBI Registered RA INH000009825
CIN Number U74999MH2021PTC365248
BSE Enrollment Number 5586
Type of Registration: Corporate
Validity of Registration: June 13,
2022 – Perpetual

Have Questions?

In case you have any doubts or queries, kindly reach out to us on the below email address contactus@octanom.com

Investment in securities market are subject to market risks. Read all the related documents carefully before investing. Registration granted by SEBI and certification from NISM in no way guarantee performance of the intermediary or provide any assurance of returns to investors. https://smartodr.in/ SEBI SCORES 2.0: https://scores.sebi.gov.in/ SEBI Corresponding Local Office Address: Securities and Exchange Board of India, SEBI Bhavan II, Plot No: C7, “G” Block, Bandra Kurla Complex, Bandra (East), Mumbai-400051

Octanom


By Octanom Tech Pvt. Ltd
SEBI Registered RA INH000009825
CIN Number U74999MH2021PTC365248
BSE Enrollment Number 5586
Type of Registration: Corporate
Validity of Registration: June 13,
2022 – Perpetual

Have Questions?

In case you have any doubts or queries, kindly reach out to us on the below email address contactus@octanom.com

Investment in securities market are subject to market risks. Read all the related documents carefully before investing. Registration granted by SEBI and certification from NISM in no way guarantee performance of the intermediary or provide any assurance of returns to investors. https://smartodr.in/ SEBI SCORES 2.0: https://scores.sebi.gov.in/ SEBI Corresponding Local Office Address: Securities and Exchange Board of India, SEBI Bhavan II, Plot No: C7, “G” Block, Bandra Kurla Complex, Bandra (East), Mumbai-400051

Octanom


By Octanom Tech Pvt. Ltd
SEBI Registered RA INH000009825
CIN Number U74999MH2021PTC365248
BSE Enrollment Number 5586
Type of Registration: Corporate
Validity of Registration: June 13,
2022 – Perpetual

Have Questions?

In case you have any doubts or queries, kindly reach out to us on the below email address contactus@octanom.com

Investment in securities market are subject to market risks. Read all the related documents carefully before investing. Registration granted by SEBI and certification from NISM in no way guarantee performance of the intermediary or provide any assurance of returns to investors. https://smartodr.in/ SEBI SCORES 2.0: https://scores.sebi.gov.in/ SEBI Corresponding Local Office Address: Securities and Exchange Board of India, SEBI Bhavan II, Plot No: C7, “G” Block, Bandra Kurla Complex, Bandra (East), Mumbai-400051

Octanom


By Octanom Tech Pvt. Ltd
SEBI Registered RA INH000009825
CIN Number U74999MH2021PTC365248
BSE Enrollment Number 5586
Type of Registration: Corporate
Validity of Registration: June 13,
2022 – Perpetual

Have Questions?

In case you have any doubts or queries, kindly reach out to us on the below email address contactus@octanom.com

Investment in securities market are subject to market risks. Read all the related documents carefully before investing. Registration granted by SEBI and certification from NISM in no way guarantee performance of the intermediary or provide any assurance of returns to investors. https://smartodr.in/ SEBI SCORES 2.0: https://scores.sebi.gov.in/ SEBI Corresponding Local Office Address: Securities and Exchange Board of India, SEBI Bhavan II, Plot No: C7, “G” Block, Bandra Kurla Complex, Bandra (East), Mumbai-400051

Octanom