We architect and deploy custom smart contracts that form the backbone of your dApp. Our development process is built on security-first principles, utilizing battle-tested libraries like OpenZeppelin and rigorous internal audits before deployment on EVM or Solana.
LABS
Services
Custom Indicator Backtesting Frameworks
We build tailored frameworks for defining, simulating, and rigorously backtesting custom trading indicators against historical on-chain and market data to validate forecasting signals before deployment.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3 experts.
Deliver a secure, auditable, and gas-optimized foundation for your protocol in 4-6 weeks.
- Token Systems: Custom
ERC-20,ERC-721, andERC-1155implementations with advanced features like vesting and governance. - DeFi Protocols: Automated Market Makers (AMMs), lending/borrowing pools, and yield aggregators.
- Enterprise Logic: Multi-signature wallets, supply chain tracking, and verifiable credential systems.
- Full Lifecycle Support: From architecture and development to deployment, verification, and post-launch maintenance.
key-features-cards
FRAMEWORK ARCHITECTURE
Engineered for Precision and Scale
Our backtesting frameworks are built from the ground up for institutional-grade accuracy and the high-throughput demands of modern crypto markets. We deliver production-ready systems, not just prototypes.
01
High-Fidelity Market Simulation
Backtest against historical on-chain data (Uniswap V3, Aave, Compound) with precise slippage, fee, and MEV modeling. Our event-driven engine reconstructs the exact state of the blockchain at any historical block.
99.5%+
Historical Accuracy
Sub-second
Event Replay
02
Multi-Asset & Cross-Chain Strategy Testing
Design and validate strategies that span Ethereum, Arbitrum, Base, and Solana. Simulate complex interactions across DeFi protocols, including flash loans and cross-chain arbitrage, in a single sandbox.
10+
Chains Supported
100+
Protocols Modeled
03
Deterministic & Reproducible Results
Eliminate "flaky" backtests. Our framework guarantees bit-for-bit identical results on every run, enabling rigorous A/B testing, version control for strategies, and confident deployment to production.
100%
Result Reproducibility
CI/CD Ready
Integration
04
Enterprise-Grade Performance
Process years of market data in minutes, not days. Our parallelized, Rust-core engine scales horizontally to test thousands of parameter combinations, delivering actionable insights for quantitative teams.
1000x
Faster vs. Python
Petabyte-scale
Data Throughput
05
Security-First Architecture
Built with audited smart contract libraries and formal verification patterns. Isolate strategy logic from core engine risks. Every framework includes a comprehensive security review by our in-house audit team.
Zero Critical
Audit Findings
SOC 2 Compliant
Infrastructure
06
Seamless Production Pipeline
Deploy validated strategies directly to our managed execution infrastructure with one command. The same code that powers your backtest runs your live trading bots, eliminating translation errors.
< 1 Hour
Backtest to Live
99.9% SLA
Execution Uptime
benefits
DELIVERABLES
Quantifiable Outcomes for Your Trading Desk
Our custom backtesting frameworks deliver measurable improvements to your trading strategy development lifecycle, from validation to production.
01
Strategy Validation Speed
Test new trading logic against 5+ years of historical on-chain and CEX data in under 5 minutes, accelerating your R&D cycle.
< 5 min
Backtest Runtime
5+ years
Historical Data
02
Production-Ready Code
Receive modular, auditable Solidity/Vyper smart contracts and Python/Node.js execution bots derived directly from your validated strategies.
100%
Code Coverage
2-4 weeks
Avg. Delivery
03
Risk & P&L Analytics
Gain clear insights with detailed reports on max drawdown, Sharpe ratio, and fee-adjusted profitability for every simulated trade.
20+
Risk Metrics
Sub-second
Result Generation
04
Multi-Chain & DEX Support
Framework natively supports backtesting across Ethereum, Arbitrum, Solana, and Avalanche with real fee structures for Uniswap V3, Curve, and more.
10+
Protocols
4
Major Chains
Quantitative Trading Infrastructure
Build vs. Buy: The Strategic Choice for Quant Teams
A detailed comparison of the resource investment, risk, and time required to build a custom backtesting framework in-house versus partnering with Chainscore Labs.
| Factor | Build In-House | Chainscore Framework |
|---|---|---|
Time to Initial Deployment | 6-12 months | 4-8 weeks |
Upfront Development Cost | $250K - $600K+ | $75K - $200K |
Core Infrastructure (Data Feeds, Execution Sim) | Build from scratch | Pre-built, production-ready modules |
Security & Audit Overhead | High (unaudited, custom risk) | Low (audited, battle-tested patterns) |
Ongoing Maintenance & Updates | Dedicated 2-3 engineer team | Optional SLA with 24/7 support |
Access to Latest Protocols (DeFi, RWAs) | Lagging, requires constant integration | Continuously updated, plug-and-play |
Performance Optimization (Speed, Gas) | Months of profiling & tuning | Built-in with sub-second backtest cycles |
Total Cost of Ownership (Year 1) | $500K - $1.2M+ | $150K - $350K |
Strategic Focus | Infrastructure development | Alpha generation & strategy refinement |
how-we-deliver
TRANSPARENT & PREDICTABLE
Our Delivery Process: Collaborative and Iterative
We build your custom backtesting framework through a structured, agile process designed for technical founders. Each phase delivers a tangible, testable outcome, ensuring alignment and accelerating your time-to-market.
01
Phase 1: Discovery & Strategy
We conduct a deep technical deep dive to define your unique trading logic, data sources, and success metrics. Deliverables include a detailed technical specification and a prioritized development roadmap.
1-2 weeks
Duration
100%
Specification Lock
02
Phase 2: Core Engine Development
We architect and build the high-performance backtesting engine in Python/Rust, integrating your custom indicators, data feeds, and execution logic. Includes weekly demos and performance benchmarks.
2-4 weeks
Typical Build
> 1M
Simulations/Day
03
Phase 3: Integration & Validation
We rigorously test the framework against historical and live market data, validate P&L calculations, and integrate with your existing data pipelines or trading infrastructure.
99.9%
Result Accuracy
< 50ms
Simulation Latency
04
Phase 4: Deployment & Knowledge Transfer
We deploy the production-ready framework to your cloud environment (AWS/GCP), provide comprehensive documentation, and conduct training sessions for your engineering and quant teams.
1 week
Deployment SLA
Full
Source Code Access
Custom Indicator Backtesting
Frequently Asked Questions
Get clear answers on how we build, deploy, and support your custom backtesting framework.
A standard custom backtesting framework is delivered in 4-6 weeks from kickoff to production-ready deployment. This includes requirements analysis, architecture design, core development, and integration with your data sources. Complex multi-asset or high-frequency strategies may extend to 8-10 weeks. We provide a detailed project plan with weekly milestones.
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