Python (Quant & AI)
Quantitative research, machine learning and API trading — built in the language quants use.
Python is the backbone of modern quantitative finance. We use it to research ideas, backtest them rigorously and run them live through broker and exchange APIs. Whether you need a single strategy or a full research-to-execution pipeline, we build it clean, tested and ready to scale.
Python (Quant & AI) Solutions
From a single strategy to a complete trading platform — engineered, tested and delivered with full source code.
Backtesting Engines
Event-driven or vectorised backtests with realistic fills, fees and slippage so results hold up live.
ML Signal Models
Feature engineering, classification and regression models that turn market data into tradable signals.
Broker API Bots
Automated execution on Zerodha Kite, Binance, Interactive Brokers and other REST/WebSocket APIs.
Portfolio Analytics
Risk, exposure and performance dashboards — Sharpe, drawdown, correlation and attribution.
Market Data Pipelines
Collection, cleaning and storage of tick, OHLC and alternative data in fast, queryable formats.
Schedulers & Monitors
Always-on runners with alerting, auto-restart and trade logs so nothing fails silently.
Built for the Way Markets Really Behave
- Research and live trading share one codebase — no rewrite between backtest and production
- Walk-forward and out-of-sample testing to reduce curve-fitting
- Strict risk controls: position sizing, max daily loss and kill switches
- Clean, documented source code that you fully own
- Deployment on your VPS or cloud with monitoring and alerts
Project Deliverables
- Full Python source code
- Backtest report with equity curve
- Configuration & run guide
- Deployment on VPS / cloud
- 30 days of post-launch support
From Idea to Live Trading
A clear, four-stage process that keeps you in control at every step.
Strategy Discovery
We document your entry, exit, risk and money-management rules until there is zero ambiguity.
Build & Backtest
We code the strategy, then validate it on historical data with realistic spreads, slippage and commissions.
Forward Test
The system runs on a demo or small live account so we can confirm behaviour matches the backtest.
Deploy & Support
We hand over source code, set up VPS or cloud hosting, and stay on call for updates and tuning.
Tools & Integrations
Common Questions
Can you convert my Excel or TradingView strategy to Python?
Yes. Share the rules or existing code and we translate it into a tested Python system, flagging any ambiguities before we build.
Do you guarantee profitability?
No. We guarantee the system executes your rules exactly and is thoroughly tested. Market performance can never be guaranteed.
Which markets are supported?
Equities, F&O, forex and crypto — anywhere a broker or exchange offers an API.
Trading forex, CFDs, crypto and other leveraged products carries a high level of risk. Automated systems execute your rules but cannot guarantee profits; past or backtested performance is not indicative of future results.
Explore More Products
Forex CRM
A complete brokerage back-office and client portal with Copy Trading and Bonus plugins.
Ready-Made Expert Advisors
Plug-and-play MetaTrader algorithms that trade 24/5 without emotional bias.
MQL5 (MetaTrader 5)
Complex, object-oriented Expert Advisors and advanced custom indicators built natively for MT5.
MQL4 (MetaTrader 4)
New MT4 bots, optimisation of legacy code, and upgrades of existing MQL4 systems for reliable execution.
Pine Script™ & Webhooks
Custom TradingView indicators, with alerts bridged to automated execution platforms through webhooks.
C++ (HFT Systems)
High-frequency trading plugins, FIX API integrations and ultra-low-latency execution engines.
Node.js & React Dashboards
Custom trading dashboards, algorithmic SaaS platforms and real-time WebSocket bridges for crypto and equities.
Ready to Automate Your Strategy?
Share your trading idea and we'll turn it into a robust, fully tested Python (Quant & AI) system — with full source code you own.