We architect and deploy custom smart contracts on EVM-compatible chains (Ethereum, Polygon, Arbitrum) and Solana. Our development process is built for security and speed, delivering a minimum viable product (MVP) in 2-4 weeks.
LABS
Services
Portfolio Backtesting & Simulation Platform Development
We build robust platforms for simulating and stress-testing AI-driven portfolio strategies against historical and synthetic market data, ensuring validated performance before live deployment.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3 experts to power your protocol.
We don't just write code; we build the secure foundation your entire business depends on.
- Security-First Development: Code built with
Solidity 0.8+orRust, using OpenZeppelin libraries and patterns. Every contract undergoes internal review and is prepped for third-party audits.
- Full-Stack Delivery: We provide the complete package: contract logic, comprehensive testing suites, deployment scripts, and gas optimization reports to minimize user costs.
- Protocol Specialization: Expertise in
ERC-20,ERC-721,ERC-1155, staking mechanisms, customAMMlogic, and governance systems for DAOs.
key-features-cards
PRODUCTION-READY MODULES
Core Platform Capabilities We Build
We deliver modular, battle-tested components for your portfolio backtesting and simulation platform, enabling rapid deployment and enterprise-grade reliability.
01
Multi-Chain Data Ingestion Engine
Real-time and historical data pipelines from Ethereum, Solana, and other major L1/L2s. Built-in data validation and cleansing ensures simulation accuracy.
< 100ms
Data Latency
99.9%
Data Integrity SLA
02
Custom Strategy Backtester
High-fidelity simulation environment for DeFi strategies (liquidity provision, yield farming, arbitrage). Supports custom slippage, fee, and MEV models.
1000x
Faster than Real-Time
10+
Pre-built Models
03
Risk & Performance Analytics Dashboard
Comprehensive metrics including Sharpe ratio, max drawdown, VaR, and protocol-specific risk exposure. Visualize PnL attribution across assets and time.
50+
Risk Metrics
Real-time
Portfolio Updates
04
API-First Architecture
REST and WebSocket APIs for seamless integration with your existing dashboards, trading bots, or risk management systems. Full documentation and SDKs provided.
< 50ms
API Response Time
24/7
Developer Support
05
Enterprise-Grade Security & Compliance
SOC 2 Type II compliant infrastructure. Role-based access control (RBAC), audit logging, and data encryption at rest and in transit.
SOC 2
Compliance
Zero
Security Incidents
06
Scalable Cloud Deployment
Automated deployment on AWS, GCP, or Azure. Auto-scaling handles simulation workloads from 100 to 1M+ historical transactions.
99.95%
Uptime SLA
< 2 weeks
Deployment Time
benefits
ACTIONABLE INSIGHTS
Business Outcomes for Your Neo-Bank
Our Portfolio Backtesting & Simulation Platform delivers quantifiable results for your neo-banking product, from risk mitigation to revenue optimization.
01
Quantified Risk Reduction
Backtest your crypto lending and staking strategies against 5+ years of historical market data to identify and mitigate tail-risk events before launch.
95%
Risk Coverage
5+ Years
Historical Data
02
Optimized Fee & Yield Strategy
Simulate dynamic fee models and yield aggregation across DeFi protocols to maximize APY for your users and revenue for your platform.
15-40%
APY Improvement
Multi-Chain
Protocol Coverage
03
Faster Product Launches
Validate new features—like cross-chain swaps or tokenized deposits—in a sandboxed environment, reducing development cycles and accelerating time-to-market.
< 4 Weeks
Validation Cycle
Zero-Loss
Test Environment
04
Regulatory Compliance Confidence
Model portfolio performance under stress scenarios to generate audit trails and demonstrate capital adequacy for regulatory reviews.
Fully Auditable
Simulation Logs
Basel III
Framework Support
05
Data-Driven Capital Allocation
Use Monte Carlo simulations to determine optimal capital reserves for your crypto vaults and lending pools, improving capital efficiency.
20-30%
Efficiency Gain
10k+
Simulation Runs
06
Enhanced User Trust & Retention
Provide clients with transparent, data-backed projections for their portfolios, building credibility and reducing churn through superior risk communication.
Proven Models
Client Reporting
Reduced Churn
Key Outcome
Scalable Implementation Path
Phased Development Tiers
A modular roadmap for building your portfolio backtesting platform, from MVP to full-scale production. Each tier builds upon the last, allowing you to launch quickly and scale with confidence.
| Core Capability | Foundation Tier | Advanced Analytics Tier | Institutional Tier |
|---|---|---|---|
Multi-Chain Historical Data Ingestion | EVM Mainnets (ETH, Polygon) | EVM + Solana, Cosmos SDK | All major L1/L2, custom RPC support |
Backtesting Engine Features | Basic strategy simulation, daily candles | High-frequency (1-min candles), slippage modeling | Tick-level simulation, MEV-aware modeling, custom fee structures |
Pre-built Strategy Library | 10+ common DeFi strategies | 50+ strategies, including cross-chain arbitrage | Unlimited, with custom strategy development |
Risk & Performance Metrics | Sharpe Ratio, Max Drawdown, P&L | VaR, CVaR, Omega Ratio, Monte Carlo simulation | Custom risk models, regulatory reporting templates, stress testing suite |
API & Integration Scope | REST API for results fetch | WebSocket live data, Python/JS SDKs | Full platform white-label, FIX protocol, enterprise SSO |
Data Retention & Lookback | 1 year historical | 5 years historical, real-time streaming | Full history archive, on-demand data reconstruction |
Team Collaboration Tools | Single user dashboard | Multi-user roles, shared workspaces | Department-level permissions, audit trails, compliance logging |
Deployment & Support | Cloud-hosted SaaS | VPC deployment, dedicated support engineer | On-premise/air-gapped deployment, 24/7 SRE team, 99.9% SLA |
Implementation Timeline | 2-4 weeks | 6-8 weeks | 10-12 weeks |
Investment Range | $25K - $50K | $75K - $150K | Custom (Contact for Quote) |
how-we-deliver
PROVEN FRAMEWORK
Our Development Methodology
We build institutional-grade backtesting platforms using a structured, four-phase process that ensures accuracy, security, and scalability from day one.
01
Discovery & Architecture
We define your core trading strategies, data requirements, and performance metrics. The output is a detailed technical specification and system architecture diagram.
1-2 weeks
Specification Phase
100%
Requirement Alignment
02
Data Pipeline Engineering
We build robust ETL pipelines for historical on-chain and market data (OHLCV, liquidity, events). Includes data validation, normalization, and storage optimization.
Sub-second
Query Latency
99.9%
Data Accuracy SLA
03
Core Engine Development
Development of the simulation engine with event-driven backtesting, slippage modeling, and gas fee calculations. Built in Python/Rust for performance.
10x
Faster Simulation
Parallel
Execution
04
Security & Deployment
Rigorous code review, vulnerability scanning, and performance testing. We deploy the platform to your cloud environment (AWS/GCP) with CI/CD and monitoring.
SOC 2
Compliant
< 1 day
Rollback Time
Technical & Commercial Questions
Portfolio Backtesting Platform FAQ
Common questions from CTOs and product leads evaluating our institutional-grade backtesting infrastructure.
We deliver a production-ready MVP in 4-6 weeks for standard deployments. This includes data pipeline integration, core strategy engine setup, and a basic UI/API. Complex requirements like multi-chain simulation or custom risk models extend this to 8-12 weeks. We follow a phased delivery model with weekly demos.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall