Consultation – Wavervanir

Consultation Services

Quantitative Trading Systems Built to Perform

Institutional-grade algorithmic trading consultation. Strategy architecture,
ML model development, risk infrastructure, and end-to-end system
deployment from a practitioner who builds and trades these systems daily.

Years Trading

0 +

Dev Hours

0 +

MBA GPA

CMT

Candidate

Services

Engagement Models

Three ways to work together. Every engagement begins with a
paid discovery session to assess scope, feasibility, and fit.

Strategy Session

Trading System Review

$500

MSc

Strategy architecture review and edge assessment
Backtest methodology validation
Risk management and position sizing analysis
ML model selection guidance
Written recommendations within 48 hours
One follow-up email exchange included

System Audit

Full Trading System Audit

$3,500 — $7,500

scoped to system complexity

Complete codebase and architecture review
Backtest integrity (walk-forward, Monte Carlo)
Signal quality and feature engineering review
Risk infrastructure evaluation (VaR, drawdown, Sharpe)
Execution logic and slippage modeling
Detailed audit report with prioritized fixes
2-hour debrief session included
30-day email support post-delivery

Enterprise

Custom System Development

$15,000+

project-based · SOW required

End-to-end algorithmic trading system build
ML ensemble pipeline (LSTM, GRU, XGBoost, LightGBM)
Broker API integration (IBKR, Alpaca, Rithmic)
Real-time execution with dynamic stop/TP logic
Performance dashboard and monitoring
Options flow and gamma analysis tools
Full documentation and codebase transfer
90-day post-delivery support

Ongoing Advisory

$5,000

per month · 3-month minimum

Three ways to work together. Every engagement begins with a
paid discovery session to assess scope, feasibility, and fit.

Up to 10 hours of dedicated consultation per month
Priority access — 24-hour response guarantee
Ongoing strategy optimization and system iteration
Weekly market regime briefings
Code reviews and architecture guidance
Direct Slack / Telegram channel access
Quarterly performance review and recalibration
Unused hours do not roll over

Capabilities

What I Build

Quantitative systems from concept through live deployment.

01 Strategy Architecture

Entry/exit logic, regime detection, multi-timeframe signal aggregation, Smart Money Concepts, and Elliott Wave systematic frameworks.

02 ML Prediction Pipelines

LSTM, GRU, XGBoost, LightGBM, Random Forest ensembles with 50+ indicators, time-series cross-validation, and walk-forward optimization.

03 Backtesting Infrastructure

Custom Python frameworks with realistic transaction costs, slippage modeling, Monte Carlo simulation, and institutional risk metrics.

04 Risk Management

Dynamic position sizing, correlation-based exposure limits, volatility targeting, drawdown controls, and automated kill switches.

05 Execution & Integration

Interactive Brokers, Alpaca, Rithmic, Binance connectivity. Real-time feeds, order management, and execution analytics.

06 Options Flow Analysis

Gamma exposure scanners, put/call scoring, unusual activity detection, sweep classification, and real-time sentiment dashboards.

Process

How Engagements Work

01

Discovery Call

30-minute paid intro ($250) to assess your current system, goals, and scope. Delivers immediate value.

02

Proposal & SOW

Within 5 business days — detailed scope of work with deliverables, timeline, milestones, and fixed pricing.

03

Build & Iterate

Execution with milestone check-ins. Full visibility at every stage. Code documented, tested, and delivered per SOW.

04

Delivery & Support

Final deliverables, documentation handoff, debrief session. All IP transfers to you upon final payment.

Background

I’m Prabhawa Koirala (Pravo), founder and CEO of WaverVanir International LLC. I’ve been building algorithmic trading systems since 2016, with over 15,600 documented development hours across systematic strategy design, ML model engineering, and trading infrastructure.

My technical foundation spans LSTM/GRU neural networks, XGBoost/LightGBM ensembles, Smart Money Concepts, Elliott Wave analysis, volume profiling, and options flow analysis. The proprietary VolanX Trading System combines these into a unified execution framework actively validated through institutional prop trading challenges.

I’m pursuing dual graduate degrees — an MBA in AI & Business Analytics (4.0 GPA, Keller Graduate School) and an MSc in Financial Engineering (WorldQuant University) — while preparing for the CMT Level 1 examination. This academic rigor informs every consulting engagement.

I believe in showing the work. My analysis is published daily on TradingView and LinkedIn. I trade the systems I build.