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fx-hedging

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alfinohatta / cakra-treasury

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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.

kotlin quantitative-finance real-time-analytics multi-agent-systems risk-management decision-support-system agent-based-simulation cash-management treasury-management liquidity-management banking-integration working-capital-optimization financial-simulation enterprise-finance treasury-automation automated-execution open-source-finance fx-hedging fx-risk-management algorithmic-execution
  • Updated Jul 8, 2026
  • Kotlin

divyansh-sahai / FX_Hedging_Engine

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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.

python optimization scipy quantitative-finance risk-management backtesting ndf fx-trading yfinance trading-desk fx-hedging em-fx client-flow volatility-reduction
  • Updated Sep 1, 2026
  • Jupyter Notebook

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