Build trading, analytics, and Web3 systems that turn market data into execution-ready decisions.
- Trading bots, signal routers and on-chain analytics pipelines
- Smart contract audits and exchange API rate-limit management
- AI-powered risk scoring and anomaly detection
- Full code ownership — your IP, your infrastructure
No obligations. NDA on request.
Is this the right fit?
Built for you if…
- You're a scale-up building a trading or analytics product
- Your team integrates exchange APIs (Binance, Kraken, FIX protocol)
- You need on-chain data pipelines or DeFi protocol integrations
- You value backtesting, paper trading and staged rollouts
- You want full code ownership and auditable architecture
Not the right fit if…
- You expect bots that guarantee profits
- You need a quick no-code trading signal copier
- You're looking for financial advice or portfolio management
- You want a generic WordPress site with a crypto theme
Data fragmentation and execution errors are destroying your product.
- Fragmented data sources — price feeds, order books and on-chain events live in separate silos with no unified pipeline
- Execution risk — non-idempotent order placement leads to duplicate trades, slippage and uncontrolled exposure
- Slow iteration — manual backtesting and no paper-trading environment mean weeks of wasted cycles
- Compliance blind spots — missing audit trails, no rate-limit management, smart contracts deployed without thorough testing
Based on production telemetry from exchange-integrated systems.
Execution latency vs. error rate
What you get (not just code).
Full observability
Real-time dashboards for order flow, latency percentiles, and P&L attribution — so your team sees every trade's lifecycle.
Faster iteration cycles
Paper-trading sandboxes, automated backtesting pipelines, and CI/CD for strategy deployment — ship strategies in days, not months.
Production-grade integrations
Exchange connectors with idempotent order handling, rate-limit throttling, and automatic failover across venues.
Unified data layer
One normalized pipeline for CEX feeds, DEX events, and on-chain data — no more duct-taped integrations.
Auditable architecture
Every decision, trade, and state change is logged with immutable audit trails — ready for compliance reviews.
Scalable from day one
Event-driven microservices, horizontal scaling, and queue-based processing — built to handle market volatility spikes.
Tailored technology solutions for trading & Web3.
Trading bots & execution platforms
Custom-built execution engines with multi-venue order routing, risk checks, and real-time position management. From signal ingestion to fill confirmation.
- Multi-exchange order routing (REST + WebSocket + FIX)
- Idempotent order placement with deduplication
- Real-time P&L and position tracking dashboards
- Paper-trading sandbox for strategy validation
Pine Script, webhooks & signal routing
End-to-end TradingView integration — from Pine Script indicators to webhook-driven execution bridges. Alert → validate → route → execute → confirm.
- Custom Pine Script indicators and strategies
- Webhook signal ingestion with schema validation
- Multi-exchange execution bridge
- Alert deduplication and rate-limit management
dApps, on-chain analytics & DeFi
Audited smart contracts, real-time on-chain monitoring dashboards, and DeFi protocol integrations. From whale tracking to liquidity pool analytics.
- Solidity smart contracts with comprehensive testing
- On-chain whale monitoring and alert pipelines
- DEX aggregation and liquidity analytics
- Multi-chain indexing (EVM, Solana, Cosmos)
AI risk scoring & anomaly detection
ML-powered risk models, real-time anomaly detection, and LLM-driven compliance checks. From market regime classification to automated KYC/AML workflows.
- Real-time anomaly detection on trade streams
- Market regime classification (trending, ranging, volatile)
- LLM-driven compliance screening and report generation
- Risk scoring with explainable AI (SHAP / LIME)
Typical use cases we build for trading & analytics teams.
Signal alerting pipeline
TradingView webhooks, CEX WebSocket feeds, custom indicators
Signal ingestion service, schema validator, multi-venue router, execution bridge
Dedup guard, max-position limits, kill switch, paper-trade mode
On-chain whale monitoring
Ethereum/Solana RPC, The Graph subgraphs, Dune Analytics, Chainlink oracles
Event indexer, wallet classifier, movement alerter, analytics dashboard
False-positive filter, cooldown periods, multi-chain validation
Automated market making
Order book snapshots, trade tapes, funding rates, volatility indices
Spread engine, inventory manager, quote generator, hedge executor
Max inventory caps, latency circuit breaker, PnL drawdown limits
DeFi yield aggregation
DEX pool events, lending protocol rates, bridge tx data, gas oracles
Yield optimizer, rebalancer, vault contracts, analytics layer
IL monitoring, smart contract timelocks, exposure limits per protocol
AI-powered risk scoring
Trade history, wallet graphs, market microstructure, news sentiment
Feature store, model serving (ONNX), scoring API, explanation module
Model drift monitor, A/B testing, human-in-the-loop escalation
Architecture and results from real deployments.
Problem
A TradingView-based signal platform was losing 12% of webhook alerts to race conditions and duplicate processing. Average signal-to-execution latency: 1,800ms.
Architecture
We rebuilt the pipeline: webhook ingestion with schema validation → idempotent dedup layer → priority queue → multi-venue execution bridge with automatic failover. Added a paper-trading sandbox for pre-production validation.
Tech stack
Problem
A crypto fund needed real-time whale tracking across Ethereum and Solana. Their existing solution had 15-minute delays and 30% false-positive alerts.
Architecture
Multi-chain indexer with event classification → wallet clustering engine → movement significance scorer → real-time dashboard with configurable alert thresholds and cooldown periods.
Tech stack
Problem
A regulated crypto exchange needed automated risk scoring for new wallet onboarding. Manual KYC reviews took 48h and missed 22% of high-risk patterns.
Architecture
Wallet graph analyzer → transaction pattern classifier (XGBoost + GNN) → risk score API with SHAP explanations → compliance dashboard with human-in-the-loop escalation.
Tech stack
Delivery model & risk management.
Every engagement follows a structured process with built-in risk controls — critical in financial systems.
Discovery & Diagnostic
We audit your current data pipeline, exchange integrations, and execution flow. Identify bottlenecks, single points of failure, and compliance gaps.
Architecture Design
C4-level architecture with data flow diagrams, API contracts, risk control placement, and environment segmentation plan.
Prototype & Paper Trading
Working prototype connected to sandbox/testnet. Paper-trading validation with real market data but zero capital risk.
Production Deployment
Staged rollout: canary deployment → limited exposure → full production. Circuit breakers, kill switches, and monitoring from day one.
Testing & Hardening
Load testing with simulated market conditions, chaos engineering for exchange disconnects, penetration testing for Web3 components.
Built-in safeguards for financial systems
Paper Trading First
Every strategy runs in a paper-trading sandbox before touching real capital. Validated against historical and live market data.
Smart Contract Audits
Formal verification, Slither/Mythril analysis, and manual review for every deployed contract. No unaudited code touches mainnet.
API Rate-Limit Management
Adaptive throttling per exchange, request queuing with priority levels, and automatic backoff to prevent IP bans.
Environment Segmentation
Strict separation: dev → staging (testnet) → production (mainnet). No shared credentials, no cross-environment leaks.
Definitions and frequently asked questions.
- Paper Trading
- Simulated trading environment that uses live market data but executes orders with virtual capital. Used to validate strategies before deploying real funds.
- Webhook Signal Routing
- Architecture pattern where trading signals (e.g. from TradingView) are received via HTTP webhooks, validated, deduplicated, and routed to one or more execution venues.
- On-Chain Monitoring
- Real-time observation and analysis of blockchain transactions, smart contract events, and wallet behaviors. Commonly used for whale tracking, DeFi analytics, and compliance surveillance.
- Idempotent Order Placement
- Design pattern ensuring that submitting the same order request multiple times produces exactly one execution. Critical for preventing duplicate trades caused by network retries or webhook re-delivery.
- Execution Bridge
- Middleware layer that translates normalized trade signals into exchange-specific API calls. Handles authentication, rate limiting, order lifecycle management, and fills confirmation across multiple venues.
Let's scope your trading / analytics / Web3 build.
On the call you'll get: technical fit assessment, architecture sketch, and a realistic build path. No pitch decks.
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