HFTHaidra
Professional Programmer For More Than 10Years && 4Years in Finance. Freelance Worker On All Programming Languages (90%). Only accept long-term projects.
HFTHaidraEgypt
Pinned Repositories
-Copy-Trades-Forex-Website
Copy Trades System
blazor-docs
User guide documentation for Syncfusion Blazor UI components
Cpp-HFT-Systeme-2-LEG-LOCK-Arbitrage
A desktop program in C++ with all its offices and functions. Connects to trading platforms via EA with
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Strategy
Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. In this paper, we propose a deep ensemble reinforcement learning scheme that automatically learns a stock trading strategy by maximizing investment return. We train a deep reinforcement learning agent and obtain an ensemble trading strategy using the three actor-critic based algorithms: Proximal Policy Optimization (PPO), Advantage Actor Critic (A2C), and Deep Deterministic Policy Gradient (DDPG). The ensemble strategy inherits and integrates the best features of the three algorithms, thereby robustly adjusting to different market conditions. In order to avoid the large memory consumption in training networks with continuous action space, we employ a load-on-demand approach for processing very large data. We test our algorithms on the 30 Dow Jones stocks which have adequate liquidity. The performance of the trading agent with different reinforcement learning algorithms is evaluated and compared with both the Dow Jones Industrial Average index and the traditional min-variance portfolio allocation strategy. The proposed deep ensemble scheme is shown to outperform the three individual algorithms and the two baselines in terms of the risk-adjusted return measured by the Sharpe ratio.
Haidra27
Config files for my GitHub profile.
HFT-Arbitrage-EA-MQL4-MQL5
HFT Arbitrage EA is A trading system based on a backlog of data feed. HFT Arbitrage EA To work successfully, it needs a faster data feed agent and slow forex broker where data feed lag. Data feed lags occur because of the operation of the software error broker and problems on its server. Just the broker can use the bridge (Bridge), which connects it with the liquidity provider. In this way, data feed may also be breaking. Especially on time of the release of important news, analysts rating agencies, changes in economic data, and so on, can we see a noticeable difference in the data feed. HFT Arbitrage EA receives data feed every millisecond from Darwinex (MT5 ) and compares them with the prices in the terminal broker. When there is a backlog of data feed, expert arbitrage trading algorithm starts trading and allows to obtain the maximum profit from each signal.
iHaidra
high frequency trading algorithm
MetaTrader_API_C-_PHP
display his MT4 results and history at his website.
MT4_MT5_API
Metatrader API EAs ,Connect to trading accounts through advisors
MT5APIRESTFul.MT4APIRESTFull.ClientWebSockets
MT5APIRESTFul + MT4APIRESTFull ClientWebSockets our built-in WebSocket Test client
HFTHaidra's Repositories
HFTHaidra/HFT-Arbitrage-EA-MQL4-MQL5
HFT Arbitrage EA is A trading system based on a backlog of data feed. HFT Arbitrage EA To work successfully, it needs a faster data feed agent and slow forex broker where data feed lag. Data feed lags occur because of the operation of the software error broker and problems on its server. Just the broker can use the bridge (Bridge), which connects it with the liquidity provider. In this way, data feed may also be breaking. Especially on time of the release of important news, analysts rating agencies, changes in economic data, and so on, can we see a noticeable difference in the data feed. HFT Arbitrage EA receives data feed every millisecond from Darwinex (MT5 ) and compares them with the prices in the terminal broker. When there is a backlog of data feed, expert arbitrage trading algorithm starts trading and allows to obtain the maximum profit from each signal.
HFTHaidra/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Strategy
Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. In this paper, we propose a deep ensemble reinforcement learning scheme that automatically learns a stock trading strategy by maximizing investment return. We train a deep reinforcement learning agent and obtain an ensemble trading strategy using the three actor-critic based algorithms: Proximal Policy Optimization (PPO), Advantage Actor Critic (A2C), and Deep Deterministic Policy Gradient (DDPG). The ensemble strategy inherits and integrates the best features of the three algorithms, thereby robustly adjusting to different market conditions. In order to avoid the large memory consumption in training networks with continuous action space, we employ a load-on-demand approach for processing very large data. We test our algorithms on the 30 Dow Jones stocks which have adequate liquidity. The performance of the trading agent with different reinforcement learning algorithms is evaluated and compared with both the Dow Jones Industrial Average index and the traditional min-variance portfolio allocation strategy. The proposed deep ensemble scheme is shown to outperform the three individual algorithms and the two baselines in terms of the risk-adjusted return measured by the Sharpe ratio.
HFTHaidra/Cpp-HFT-Systeme-2-LEG-LOCK-Arbitrage
A desktop program in C++ with all its offices and functions. Connects to trading platforms via EA with
HFTHaidra/MT4_MT5_API
Metatrader API EAs ,Connect to trading accounts through advisors
HFTHaidra/iHaidra
high frequency trading algorithm
HFTHaidra/MT5APIRESTFul.MT4APIRESTFull.ClientWebSockets
MT5APIRESTFul + MT4APIRESTFull ClientWebSockets our built-in WebSocket Test client
HFTHaidra/MetaTrader_API_C-_PHP
display his MT4 results and history at his website.
HFTHaidra/-Copy-Trades-Forex-Website
Copy Trades System
HFTHaidra/blazor-docs
User guide documentation for Syncfusion Blazor UI components
HFTHaidra/Haidra27
Config files for my GitHub profile.
HFTHaidra/MetaTraderAPI
HFTHaidra/MTAPI
MT4 API TCP/IP Protocol __ MT5 API TCP/IP Protocol To Server Directly, API works directly with MetaTrader 4 and 5 servers.
HFTHaidra/SvgToPathGeometry
SvgToPathGeometry
HFTHaidra/WebAPI
Read Metatrader Accounts Trading history from any broker and any MT4/MT5 account to any Website(PHP) Like MyFxbook