TSL and PredictNow.ai just completed a study combining PredictNow’s Corrective AI and a Machine Designed Trading Strategy produced by TSL. First a strategy was designed using one of TSL’s strategy design engines. Next, the returns were post processed and used in the Corrective AI engine from PredictNow. Finally, a before and after analysis of returns based Sharpe Ratio was produced. The results showed an improved cross validation Sharpe from 2.11 to 2.61 and an improved OOS Sharpe from 3.195 to 3.43. This improvement is substantial and shows that a post ML design Corrective AI application may have substantial benefit. Further work is planned.
“AI Trading Strategies that Write Themselves”
Welcome to Trading System Lab®
A Silicon Valley, California Company
TSL Pro Platform
Quant Systems Lab™
Easily Design and Test Trading Strategies. Then trade these strategies with your broker by simply copy and pasting the generated strategy code into the live trading platform of your choice.
No programming required!
Contact TSL for other Platforms supported
TSL was #1 rated by Futures Truth on a variety of markets and the systems were Machine created. To use TSL simply run the design engine then copy and paste the strategy into your execution platform of choice. The TSL Machine will design Strategies for Daytrading, Overnight Trading, Portfolios, Stocks, Bonds, ETF’s, Crypto, Commodities, Indices, etc. Running 60 to 200 times faster than other approaches, TSL uses an advanced Machine Learning algorithm known as a Register Genetic Program (LAIMGP). One on one training is available for every Platform sold. TSL is simply the best Automatic Strategy Design Platform available. TSL has been supplying the worlds traders and investors with the TSL Platform since 2006.
NEW DEMO #83: TSL Pro to Ninja Trader!
Or Click “TSL to Ninja” below.
Introduction To TSL
Trading System Lab will automatically generate Trading Systems on any market in a few minutes using a very advanced computer program known as a AIMGP (Automatic Induction of Machine Code with Genetic Programming). Creation of a Trading System within Trading System Lab is accomplished in 3 easy steps…
CHAT.OPENAI, meet LAIMGP, and say “Hello to automatic code writers”
Type in “Who are Trading System Lab(TSL)” into Chat.openai.com and you get:
“Trading System Lab (TSL) is a software development company that provides algorithmic trading solutions for individuals and organizations in the finance industry. They offer a suite of tools and services for designing, testing, and deploying algorithmic trading strategies, including a high-performance backtesting engine and automated trading software. TSL provides a platform for traders and quants to create, test, and deploy their trading ideas without the need for programming expertise. Their products and services are designed to help traders and investors reduce risk, increase efficiency, and achieve better returns.”
Type in “What is Linear Automatic Induction of Machine Code with Genetic Programming” and you get:
“Linear Automatic Induction of Machine Code with Genetic Programming (LAIMCGP) is a hybrid genetic programming approach that combines genetic programming and linear genetic programming to automatically generate efficient machine code programs. It uses a genetic algorithm to evolve a population of linear genetic programs, which are then translated into machine code. This approach aims to generate programs that are both highly performant and easy to understand, and it has been applied to a variety of problems, including function optimization and control systems design.”
TSL has begun the development of World Algo, a revolutionary trading application geared toward the World Trader who wishes to trade Machine Designed Trading Algorithms using a Cloud and Web based, fault tolerant, and scalable trading application. World Algo aims to solve the gap between Machine Learning and trading strategy execution. World Algo will not replace Quant Systems Lab or Trading System Lab’s Professional or Lite Platform but will solve a long standing problem which has faced algorithmic traders for years.
- Previous simulations resulted in combined Training and OutOfSample levels of fitness that appeared to be impenetrable. Now we see that using standard settings, that were previously unused, we have broken through those levels. See the latest demos for discussions on this and other important research work.
Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.