OHLCV structures
Candles, volume and intervals represented as typed context.
Adapter · In development
Time-series trading
FENKI’s next adapter applies the same pipeline to financial time series, turning market observations into context from which an LLM can explain patterns and construct forecasts.
Actively being developed · conceptual stage
Vision
Market data as context
Trading is time-series data. FENKI prepares it so a model sees market structure rather than an unlabelled stream of numbers.
Indicators
Derived features such as RSI and MACD alongside price.
Windows and timeframes
Context at the required scale, from minutes to days.
Roadmap
Adapter roadmap
From a basic OHLCV exporter to model-assisted interpretation of market patterns.
OHLCV exporter
A baseline exporter for open, high, low, close and volume candle series.
Window transforms
Rolling windows, normalization, RSI, MACD and Bollinger Bands in LLM context.
Multiple timeframes
Join series from different timeframes into one semantic forecast block.
Pattern interpretation
A model explains market movements from prepared FENKI context.
market data→
FENKI context→
forecast / interpretation
This page documents a planned exporter. It does not provide investment advice or a production trading signal.