FMZ Quantfmzquant.hashnode.dev·Dec 18, 2024Discussion on External Signal Reception of FMZ Platform: A Complete Solution for Receiving Signals with Built-in Http Service in StrategyPreface In the previous article Discussion on External Signal Reception of FMZ Platform: Extended API vs. Strategy Built-in HTTP Service , we compared two different ways of receiving external signals for programmatic trading and analyzed the details....Cryptocurrency
FMZ Quantfmzquant.hashnode.dev·Dec 13, 2024Discussion on External Signal Reception of FMZ Platform: Extended API VS Strategy Built-in HTTP ServicePreface There are several articles in the platform "Digest" about connecting to Trading View webhooks, which allows strategies to drive tradings with signals from external systems. At that time, the platform did not support the built-in http service ...APIs
FMZ Quantfmzquant.hashnode.dev·Dec 2, 2024Discussion on Strategy Testing Method Based on Random Ticker GeneratorPreface The backtesting system of the FMZ Quant Trading Platform is a backtesting system that is constantly iterating, updating and upgrading. It adds functions and optimizes performance gradually from the initial basic backtesting function. With the...Strategy
FMZ Quantfmzquant.hashnode.dev·Nov 13, 2024New Feature of FMZ Quant: Use _Serve Function to Create HTTP Services EasilyIn quantitative trading and automated strategy development, http services are sometimes used. The FMZ Quant Trading Platform has added a function _Serve() recently, which provides users with flexible HTTP, HTTPS and TCP service creation capabilities....FMZQuant
DolphinDBdolphindb.hashnode.dev·Oct 22, 2024Optimizing Crypto Trading Algorithms: High-Performance Backtesting InsightsIn the previous section, we introduced our tailored high-performance backtesting solutions. This section will offer an illustration of implementing a backtesting system for a grid trading strategy. Grid trading is a strategic approach that traders pl...Cryptocurrency
Akshay Pariharakshayparihar.hashnode.dev·Oct 4, 2024Efficient Backtracking Strategies: A Comprehensive GuideIntroduction Backtracking is a powerful algorithmic technique for solving problems incrementally by trying partial solutions and then abandoning them if they are not viable. It is particularly useful in problems involving permutations, combinations, ...1 like·176 readsdata structures
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 12, 2024How to Use Python for Financial Analysis and Algorithmic TradingPython has become one of the most popular programming languages for financial analysis and algorithmic trading, thanks to its simplicity, versatility, and a robust ecosystem of libraries. Whether you're a finance professional looking to automate your...10 likes·176 readsPythonPython
FMZ Quantfmzquant.hashnode.dev·Jul 10, 2024Evaluation of backtest capital curve using "pyfolio" toolForeword A few days ago, it was found that the profit and loss curve output of the FMZ strategy backtest result was relatively simple, so I thought about whether to obtain the income result data and then process it myself to get a more detailed capit...pyfolio
FMZ Quantfmzquant.hashnode.dev·Jul 10, 2024Interfacing with FMZ robot using "Tradingview" indicatorBackground introduction TradingView is a good market quotes drawing tool. The pine script is also a powerful existence! Backtesting, alarming, and various docking is a very complete financial tool. But there are two issues that have been plaguing us....tradingview
FMZ Quantfmzquant.hashnode.dev·Jul 10, 2024High-frequency backtest system based on each transaction and the defects of K-line backtestWhen I wrote Research on Binance Futures Multi-currency Hedging Strategy, I also released a backtest engine. And the first report was based on the one-hour K-line backtest, which verified the effectiveness of the strategy. But the sleep time of the a...Backtesting
