How to create your own automated AI trading bot in less than a minute?

Creating automated AI trading bots might sound complex, but with QUINETICS (https://quinetics.net/), it's easy. AI strategies for stocks, crypto, and ETFs can be created within seconds and without coding knowledge.

Often, self-proclaimed AI trading tools only focus on strategy creation without fully exploiting the technology for pattern recognition in market data. QUINETICS uses Tensorflow for the development of predictive models for a range of asset classes.

On the platform, users can still automate trading with traditional financial analysis methods such as Bollinger Bands or Moving Averages for strategy formulation, but QUINETICS emphasizes uncovering market patterns using AI. This involves training machine learning models with specific indicators.

The methodology is data-centric and thorough. After training a machine learning model on a particular indicator, the model is then applied to new market data to forecast upcoming trends.

Furthermore, QUINETICS utilizes a "Monte Carlo" backtesting method on thousands of AI-generated strategies, pinpointing the "strategy of the week." This title goes to the strategy demonstrating the best risk-adjusted performance, measured by the Sharpe Ratio, over the previous year. Essentially, our system continually runs backtests in the background and identifies the strategy with the highest Sharpe Ratio for a chosen asset, serving as a launching pad for the user.

QUINETICS also empowers users to tailor their AI strategies. Adjustments can be made to forecast periods or holding periods, allowing users to fine-tune their approach based on personal preferences. The machine learning models at QUINETICS are developed using fundamental, economic, sentiment and price data sourced from EOD HD.

At its core, QUINETICS transforms the use of AI in trading by moving past simple indicator-driven strategies. It harnesses AI's power to give users the opportunity to navigate the financial markets with a nuanced, AI-enhanced perspective.

Posted by Fabian on 2024-04-07