It is completely transplanted from the “CTP Commodity Futures Variety Moving Average Strategy“. Since the Python version of the commodity futures strategy does not yet have a multi-variety...
Quantitative trading can be understood as an automated trading program, which is divided into three processes: input strategy, implementstrategy and output result. Strategy is easy to understand. For ...
High-frequency market maker strategy High liquidity and there is no commission fee or very low The principle of this strategy is extremely simple. It can be understood as a high-frequency market-makin...
What is a quantitative trading bot? Want to understand what is a quantitative trading robot? First of all, we must understand the basic concept of “quantitative trading”. Quantitative trad...
If you’re tired of manual trading, is there a better choice? Let me give you positive answer. Some people are broke and crying, and most of them are regretting for their greedy or fearful emotion in...
Quantitative trading Quantitative systemic traders, enter rules + exit rules + fund management are all quantified. The typical is the turtle trading rules. You are given the model and you know what to...
Why learn programming languages: 1. The trading strategy written by others is difficult for you to adjust. I often hear people say that the previous model that runs well is not performing well recentl...
Strategy Name: Upgraded Thermostat Strategy Data cycle: 1H Support: Commodity Futures, Digital Currency Futures, Digital Currency Spot Backtest on FMZ Quant to know more Source Code: https://www....
Strategy name: Channel strategy based on ATR volatility index Strategy idea: Channel Adaptive Strategy, Fixed Stop + Floating Stop Data Cycle: Multi-Cycle Backtest on FMZ Quant to know more Source Cod...
Place order after K line is done, open or close position when closing price is determined Data Level: Daily K Line Backtest on FMZ Quant to know more Source Code: https://www.fmz.com/strategy/128...