AI & machine learning integration for trading systems
Infuse intelligence across your trading stack from signal generation and risk scoring to execution optimisation and research automation. Our team builds, deploys, and monitors ML models purpose-built for the speed and stakes of live markets.
Where AI/ML makes a measurable difference
Not every problem needs a neural network. We focus on use cases where ML delivers a clear, measurable edge over rule-based approaches and where the infrastructure cost is justified by the outcome.
Pattern recognition & signal generation
Train models on price action, order flow, and market microstructure to detect setups human eyes miss. We deploy CNN, LSTM, and transformer architectures depending on the data modality and latency budget.
Risk scoring & anomaly detection
Real-time models that flag unusual portfolio exposure, correlation breakdowns, or liquidity gaps before they become losses. Alerts integrate with your existing dashboards and messaging channels.
Execution optimisation
ML-driven order routing that adapts to venue liquidity, spread dynamics, and queue position estimates. Reduce slippage on large orders and improve fill quality across Indian brokers.
LLM-powered research copilots
Custom AI assistants that parse earnings transcripts, RBI policy documents, and brokerage reports surfacing actionable insights without manual reading. Built on private LLMs for data security.
Models & techniques we work with
Time-series forecasting
LSTMs, Temporal CNNs, Transformer models, Prophet
Classification & detection
Random Forest, XGBoost, Isolation Forest, autoencoders
Reinforcement learning
DQN and PPO agents for execution optimisation and order scheduling
NLP & LLMs
Fine-tuned LLMs for earnings analysis, sentiment scoring, and research summarisation
Feature engineering
Order flow imbalance, Greeks surfaces, cross-asset correlation, volatility regime tagging
MLOps & monitoring
Automated retraining, drift detection, A/B testing, model versioning with MLflow
How Arkalogi integrates AI/ML into your stack
Audit your data & infrastructure
We map your existing data sources, compute resources, and latency requirements to identify the highest-impact ML integration points.
Prototype & validate
Build a lightweight proof-of-concept that demonstrates model performance on your data. No production risk just measurable results on historical or paper-trading data.
Production deployment
Deploy the validated model with proper monitoring, fallback logic, and performance tracking. Models run alongside your existing strategy stack without disrupting live trading.
Monitor & retrain
Markets evolve, and so should your models. We set up automated drift detection, periodic retraining pipelines, and A/B testing frameworks to keep model accuracy high.
Typical engagement timeline
Audit & scoping
Data assessment, use-case prioritisation, and technical specification.
Prototype & validate
Model development, backtesting against your data, and performance benchmarking.
Deploy & monitor
Production integration, monitoring setup, and handoff with documentation.
Learn how we can help.
Talk to our team about your project or product idea. We'll show
you how Arkalogi can make it real.