Dynamic agent conversation window compactor balancing attention decay, entity retention, and token budget
-
Updated
Oct 24, 2026 - Python
Dynamic agent conversation window compactor balancing attention decay, entity retention, and token budget
Autonomous e-commerce cart bundle recommender calculating affinity lift, margin elasticity, and optimal discount tiers
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 multi-currency FX router computing real-time cross rates, volatility buffers, and forward hedging contracts
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 SQL query self-correction engine fixing syntax errors, column typos, schema joins, and group by clauses
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).
Autonomous e-commerce cart bundle recommender calculating affinity lift, margin elasticity, and optimal discount tiers
Dynamic agent conversation window compactor balancing attention decay, entity retention, and token budget
Autonomous SQL query self-correction engine fixing syntax errors, column typos, schema joins, and group by clauses
Real-time audio DSP analyzer calculating RMS energy, ZCR, crest factor, and dynamic range clipping saturation
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).
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
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.
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.
To associate your repository with the fx-hedging topic, visit your repo's landing page and select "manage topics."