The blade quantitative system provides comprehensive and complete market data all over the world. Data format including (but not limited to) ticks, minute, daily and other periodic data of shares ,futures and cryptocurrency.

The blade quantification system provides data processing functions, including data cleaning, data aggregation, data feature calculation and data splicing. Market data of various granularity can be directly processed into training and test data sets by using the data processing function of blade, without additional programming by users.

Blade may be the most advanced automatic strategy seeking software on the market:

1. The Blade Quantitative Strategy System comes in two versions: CPU version and GPU version. The GPU version utilizes NVIDIA graphics cards for acceleration,which has the fastest speed in the industry. It can try thousands of strategies according to the set strategy type with high efficiency and find profitable strategies. For example, on a Geforce 1080ti GPU graphics card of NVIDIA, it only takes 3 milliseconds (0.003 seconds) to complete the back test of one strategy and 14 million strategy in 12 hours for the futures data with 50k rows and 1000 columns.

2. The process of making blade strategy only needs to set parameters without programming. The process of making strategy is completely left to blade. It has built-in 60+ types of strategies, including several categories: shock, trend, grid, mixing and combination. It supports both timeframe bar or   non timeframe bar, meeting the needs of quantitative trading strategies for futures, stocks, precious metal spot, cryptocurrency and other varieties.

3. The blade has 40 kinds of performance objectives, including net profit, sharp ratio, profit factor, winning rate, etc., to meet the different performance requirements of different customers.

4. Blade has strong expansion ability. It naturally supports cluster deployment based on distributed architecture and can run in large CPU/GPU clusters and call hundreds of CPUs/GPUs at the same time. It does not limit the amount of information of the input algorithm (unlimited number of rows and columns), which greatly increases the probability of finding a good strategy.

The strategy evaluation function can continuously evaluate the strategy, test whether the strategy is still effective, and obtain important information such as transaction signal and position weight, which can be used for manual position adjustment.

Blade is a tool for analyzing data and generating strategies, but it does not provide a direct trading environment. You'll need to use a third-party trading platform to run the strategies created in Blade. However, Blade makes it easy to deploy those strategies by supporting translations into many popular platforms. These include international and domestic platforms like MultiCharts, TradeStation, MT4, MT5, TianQin Quant (TqSDK), Tongdaxin style platforms, Hummingbot, and TradingView.

Blade 1.0+ supports PowerLanguage/EasyLanguage for MultiCharts and TradeStation.

Blade 2.0+ supports JoinQuant and translates machine-learning indicators to Tongdaxin-style platforms.

Blade 2.6+ fully supports MT4/MT5 mq4 and mq5.

Blade 2.9.6+ supports Hummingbot.

Blade 2.9.10+ supports TianQin TqSdk.

Blade 2.9.18+ supports TradingView Pine Script.

We offer assistance for custom translations for CTP (futures, stocks). The core design of Blade is to express strategies as a set of rules and calculations not a black box, so they can be translated for use on live platforms.

The translated strategy code is directly copied and pasted into MultiCharts/TradeStation platform, compiled and run without any coding !

It also fully supports the MT4 or MT5 platform. It can be directly translated into their programs and compiled and run without writing any code!