Real time market intelligence that predicts price direction

Predicting Market Movements with Advanced Military-Grade Pattern Detection

How it works

Proprietary predictive trading systems that profit across multiple assets

Our system detects systematic patterns in price data using advanced AI that we built in house

Multi-asset signal detection across crypto, equities, FX, and derivatives

Our models are designed to operate across multiple asset classes, enabling consistent pattern recognition regardless of market structure or instrument type

Real-time data ingestion and continuous model recalibration

The system processes live market data at frequent intervals, allowing predictive models to adjust dynamically based on observed performance and evolving market conditions

Research-driven methodology focused on statistical robustness

Our approach draws on decades of experience from founders with backgrounds at Google and in military analytical environments, where rigorous research and statistical validation are essential.

Research & Technology - Our Approach

We build adaptive trading systems by combining market research, statistical modeling, and continuous automation.

Step 1

Continuous Market Analysis

We continuously monitor price, volume, and market structure across multiple timeframes

Analyzing current market sentiment

System check

Process check

Price Integration

Process Data

Repeat

Analyzing current market sentiment

System check

Process check

Price Integration

Process Data

Repeat

Step 2

Signal Generation & Scoring Logic

Pattern recognition logic and statistical validation, Signals are generated when multiple conditions align

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}"

Step 3

Automated Execution & Integration

Signals are executed automatically through our trading infrastructure. The system integrates directly with exchanges and execution venues via APIs, enabling seamless deployment across markets.

Our System

Exchange

Our System

Exchange

Step 4

Continuous Learning & Optimization

All results are fed back into our data pipeline for analysis and model refinement. AI and machine-learning are used to optimize logic, improve pattern detection, and adapt to changing market regimes.

System Logic

Signals improved by 20% accuracy

Workflow system

API's online and functioning

Infrastructure Online

No Bugs Found

System Logic

Signals improved by 20% accuracy

Workflow system

API's online and functioning

Infrastructure Online

No Bugs Found

Performance - Live Trading

Our strategies are deployed in live market conditions, alongside an ongoing research process that uses backtesting to develop new approaches.

Our system is live and profitable with real money, not just backtests.
168+ trades completed in the last 3 months, For every unit of risk taken, we generate nearly 3 units of return. Hedge funds celebrate ratios above 2.0. At 2.97 already, we can keep improving.
Performance
Win Rate - 55%
Sharpe Ratio - 2.97
Profit Factor - 2.31
Max Drawdown - 0.44%
"AI-powered workflows reduced error rate by 80% in daily operations"
MepixChain, a healthcare logistics company, was dealing with frequent data errors and delays. We introduced AI validation and live tracking to improve accuracy and speed across their supply chain.
Performance
Win rate - 55%
Sharpe Ratio - 2.97
Profit factor - 2.31
Max Drawdown - 0.44%
"Automating 50% of operations saved 20% in costs within 2 months"
FinSolve, a financial services firm, was overloaded with repetitive admin tasks. By automating internal workflows and integrating data systems, they streamlined operations and reduced overhead.
Performance
50% Operations Automated
20% Cost Reduction
70+ Hours Saved/Month
2x Faster Client Onboarding
"AI integration helped ScaleByte close 3x more deals in less time"
ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.
Performance
3x More Deals
40% Faster Responses
95% Lead Accuracy
CRM Fully Synced
Our system is live and profitable with real money, not just backtests.
168+ trades completed in the last 3 months, For every unit of risk taken, we generate nearly 3 units of return. Hedge funds celebrate ratios above 2.0. At 2.97 already, we can keep improving.
Performance
Win Rate - 55%
Sharpe Ratio - 2.97
Profit Factor - 2.31
Max Drawdown - 0.44%
"AI-powered workflows reduced error rate by 80% in daily operations"
MepixChain, a healthcare logistics company, was dealing with frequent data errors and delays. We introduced AI validation and live tracking to improve accuracy and speed across their supply chain.
Performance
Win rate - 55%
Sharpe Ratio - 2.97
Profit factor - 2.31
Max Drawdown - 0.44%
"Automating 50% of operations saved 20% in costs within 2 months"
FinSolve, a financial services firm, was overloaded with repetitive admin tasks. By automating internal workflows and integrating data systems, they streamlined operations and reduced overhead.
Performance
50% Operations Automated
20% Cost Reduction
70+ Hours Saved/Month
2x Faster Client Onboarding
"AI integration helped ScaleByte close 3x more deals in less time"
ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.
Performance
3x More Deals
40% Faster Responses
95% Lead Accuracy
CRM Fully Synced
Our system is live and profitable with real money, not just backtests.
168+ trades completed in the last 3 months, For every unit of risk taken, we generate nearly 3 units of return. Hedge funds celebrate ratios above 2.0. At 2.97 already, we can keep improving.
Performance
Win Rate - 55%
Sharpe Ratio - 2.97
Profit Factor - 2.31
Max Drawdown - 0.44%
"AI-powered workflows reduced error rate by 80% in daily operations"
MepixChain, a healthcare logistics company, was dealing with frequent data errors and delays. We introduced AI validation and live tracking to improve accuracy and speed across their supply chain.
Performance
Win rate - 55%
Sharpe Ratio - 2.97
Profit factor - 2.31
Max Drawdown - 0.44%
"Automating 50% of operations saved 20% in costs within 2 months"
FinSolve, a financial services firm, was overloaded with repetitive admin tasks. By automating internal workflows and integrating data systems, they streamlined operations and reduced overhead.
Performance
50% Operations Automated
20% Cost Reduction
70+ Hours Saved/Month
2x Faster Client Onboarding
"AI integration helped ScaleByte close 3x more deals in less time"
ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.
Performance
3x More Deals
40% Faster Responses
95% Lead Accuracy
CRM Fully Synced
Our system is live and profitable with real money, not just backtests.
168+ trades completed in the last 3 months, For every unit of risk taken, we generate nearly 3 units of return. Hedge funds celebrate ratios above 2.0. At 2.97 already, we can keep improving.
Performance
Win Rate - 55%
Sharpe Ratio - 2.97
Profit Factor - 2.31
Max Drawdown - 0.44%
"AI-powered workflows reduced error rate by 80% in daily operations"
MepixChain, a healthcare logistics company, was dealing with frequent data errors and delays. We introduced AI validation and live tracking to improve accuracy and speed across their supply chain.
Performance
Win rate - 55%
Sharpe Ratio - 2.97
Profit factor - 2.31
Max Drawdown - 0.44%
"Automating 50% of operations saved 20% in costs within 2 months"
FinSolve, a financial services firm, was overloaded with repetitive admin tasks. By automating internal workflows and integrating data systems, they streamlined operations and reduced overhead.
Performance
50% Operations Automated
20% Cost Reduction
70+ Hours Saved/Month
2x Faster Client Onboarding
"AI integration helped ScaleByte close 3x more deals in less time"
ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.
Performance
3x More Deals
40% Faster Responses
95% Lead Accuracy
CRM Fully Synced

Our system is live and profitable with real money, not just backtests.

168+ trades completed in the last 3 months, For every unit of risk taken, we generate nearly 3 units of return. Hedge funds celebrate ratios above 2.0. At 2.97 already, we can keep improving.

Performance

Win rate - 55%

Sharpe Ratio - 2.97

Profit factor - 2.31

Max Drawdown - 0.44%

Our system is live and profitable with real money, not just backtests.

168+ trades completed in the last 3 months, For every unit of risk taken, we generate nearly 3 units of return. Hedge funds celebrate ratios above 2.0. At 2.97 already, we can keep improving.

Performance

Win rate - 55%

Sharpe Ratio - 2.97

Profit factor - 2.31

Max Drawdown - 0.44%

Invest with us - Partnership Model

How investors participate in QuantMav’s growth and long-term value creation, we'd love to hear from you.

Series A Growth Round

QuantMav is currently raising $20M at $100M Valuation. Series A to accelerate technology development and structure the investment fund

Series A Growth Round

QuantMav is currently raising $20M at $100M Valuation. Series A to accelerate technology development and structure the investment fund

Series A Growth Round

QuantMav is currently raising $20M at $100M Valuation. Series A to accelerate technology development and structure the investment fund

Founder Seed Funded

Seed-funded by the founders over a 3–4 year period, ensuring strong alignment, discipline, and long-term vision prior to external capital

Founder Seed Funded

Seed-funded by the founders over a 3–4 year period, ensuring strong alignment, discipline, and long-term vision prior to external capital

Founder Seed Funded

Seed-funded by the founders over a 3–4 year period, ensuring strong alignment, discipline, and long-term vision prior to external capital

Technology Expansion

Capital will be used to further develop proprietary research infrastructure, signal generation, and execution systems to support institutional-scale strategies

Technology Expansion

Capital will be used to further develop proprietary research infrastructure, signal generation, and execution systems to support institutional-scale strategies

Technology Expansion

Capital will be used to further develop proprietary research infrastructure, signal generation, and execution systems to support institutional-scale strategies

Investment Fund Formation

Investors will gain exposure not only to the operating company but also to the formation and growth of QuantMav-managed investment vehicles

Investment Fund Formation

Investors will gain exposure not only to the operating company but also to the formation and growth of QuantMav-managed investment vehicles

Investment Fund Formation

Investors will gain exposure not only to the operating company but also to the formation and growth of QuantMav-managed investment vehicles

Strategic Partners & Advisors

We work closely with strategic advisors and partners from leading investment funds and technology firms, while actively expanding its global institutional network

Strategic Partners & Advisors

We work closely with strategic advisors and partners from leading investment funds and technology firms, while actively expanding its global institutional network

Strategic Partners & Advisors

We work closely with strategic advisors and partners from leading investment funds and technology firms, while actively expanding its global institutional network

Aligned Long-Term Incentives

The partnership model is designed to align incentives across founders, investors, and future fund participants, with a focus on transparency and disciplined scaling

Aligned Long-Term Incentives

The partnership model is designed to align incentives across founders, investors, and future fund participants, with a focus on transparency and disciplined scaling

Aligned Long-Term Incentives

The partnership model is designed to align incentives across founders, investors, and future fund participants, with a focus on transparency and disciplined scaling

We are seeking the smartest minds and strategic investors to help us scale

Get in touch with us, collaboration is key to growth