fx-hedging

It provides a centralized Command Center for liquidity management, risk mitigation, and automated financial execution. By leveraging a multi-agent architectural simulation, it offers treasurers real-time insights and autonomous recommendation engines to optimize working capital and mitigate FX risks.

Python tool that simulates an EM FX NDF trading book, identifies fixing date risk spikes, recommends cost-optimal hedges using scipy.optimize, monetizes client flow imbalances, and backtests the strategy on real historical FX data. Built in Jupyter Notebook with pandas, numpy, matplotlib, and yfinance.

Autonomous SQL query self-correction engine fixing syntax errors, column typos, schema joins, and group by clauses

Rolling forward contract scheduler, value-at-risk (VaR) fx exposure, multi-currency cash flow netting, and slippage tolerance. Built for GenPark (https://www.genpark.ai).

Autonomous e-commerce cart bundle recommender calculating affinity lift, margin elasticity, and optimal discount tiers

Real-time foreign exchange volatility monitoring, cross-border multi-currency invoice cost projection, and automated forward contract rate-lock advisor. Built for GenPark (https://www.genpark.ai).

Monthly, reproducible index of the theoretical cost of hedging USD exposure in Colombian pesos (CIP with TRM, IBR, SOFR). Data CC BY 4.0, code MIT. By QuantikQI.

Dynamic agent conversation window compactor balancing attention decay, entity retention, and token budget

Autonomous multi-currency FX router computing real-time cross rates, volatility buffers, and forward hedging contracts

Real-time audio DSP analyzer calculating RMS energy, ZCR, crest factor, and dynamic range clipping saturation