History of ArrowBOT AUTOTRADER
At the heart of RawBot lies a revolutionary concept: markets move in cycles — and those cycles can be measured. By applying Fourier Transform mathematics to financial data, RawBot converts complex market activity into frequency signals that reveal the true rhythm of price movement.
From Fourier to Forecast
In 1822, mathematician Joseph Fourier discovered that any time-based signal could be expressed as a sum of simple sine and cosine waves. This principle — the Fourier Transform — remains one of the most powerful analytical tools in science and engineering. RawBot applies the same principle to markets, breaking down price data into its frequency components to identify underlying cyclical patterns invisible to conventional indicators.
The Cyclical Pressure Map
ArrowBot visualizes cyclical strength using a red/green histogram:
-Green Bars indicate positive pressure and rising momentum.
-Red Bars reveal negative pressure and potential pullbacks.
This simple visual distills vast data into a clear, intuitive signal that empowers faster decision-making.
NinjaTrader — Retrieves and processes real-time data.
Data Storage — Organizes intraday data for calculation.
Frequency Calibration Server — Runs frequency-domain computations.
Input Transfer — Feeds updated parameters into the strategy systeStrategy Engine —
Detects changes, updates analysis, and executes trades
Seamless Automation Flow
Why It Matters
RawBot’s frequency-based intelligence represents the evolution of algorithmic trading — from reaction to prediction. It merges mathematical precision with real-time adaptability, giving traders a scientific edge in markets that never stop moving.