Receive up to 50% account growth every month!
Key Features of SamurAI AUTOMATED TRADING BOT
- Uses 10 assets for trading: GBPCAD, EURGBP, EURAUD, GBPAUD, AUDCAD, AUDNZD, EURUSD, GBPUSD, USDCAD, EURCAD, USDCHF
- Recommended leverage: any
- Recommended account size: $200 and more
- Uses a system of smart management of trading positions and automatic calculation of a trading lot
- Trading strategy: trading for price reversals inside the channel
- Uses Stop Loss for every trade
- Does not use martingale or averaging
- Required account type: tight spread account
- Supports platforms MT5/4
- Trading time: Asian session
Samurai TRADING SOFTWARE profitability
Independent monitoring
Gain: +511.27%
Drawdown: 16.97%
Monthly: 16.12%
Balance: $ 2,152.78
Profit: $ 8,505.19
Withdrawals: $ 6,352.41
Updated: Live
Tracking: 344
This monitoring has been carried out from May 2021 to the present. Transaction tracking is carried out online. The schedule is updated once a month on every first day. This monitoring shows the trading performance of the Samurai Day Trading strategy and by studying this monitoring you can decide whether to trust this trading bot.
Samurai INTRADAY TRADING ROBOT test results
Rapid growth Up to $4.5 million!
In the fast-paced world of day trading, where opportunities come and go in the blink of an eye, every advantage counts. Imagine a tool that can enhance your trading strategy, offering you a sharper edge in the competitive market. The Samurai Day Trading Bot is designed with precision, utilizing cutting-edge technology to analyze market trends and execute trades at optimal moments. This bot is your steadfast ally, tirelessly working to maximize your profits while minimizing risks. Embrace the future of trading with Samurai Day Trading Bot and transform your trading journey into a saga of success. Let the power of automation unlock new horizons in your trading endeavors, empowering you to focus on strategy and growth. The time is now to elevate your trading game.
2 bots for 2 platforms
You buy 1 Samurai Scalping EA product and immediately get 2 bots that will work on MT4 and MT5 platforms!
Samurai TRADING SOFTWARE in strategy tester
Data from the strategy tester
AUDCAD
Total net profit $4 307 230
EURAUD
Total net profit $49 320
GBPUSD
Total net profit $9 137 623
USDCHF
Total net profit $4 872 781
GBPCAD
Total net profit $9 137 623
GBPCHF
Total net profit $9 842 403
EURCAD
Total net profit $44 008
EURGBP
Total net profit $156 535
EURUSD
Total net profit $247 425
GBPAUD
Total net profit $5 368 428
See Real Results with Samurai Day Trading Bot: Users Averaged $2 Million Profits from 10 Currency Pairs! Explore our tested strategies on GBPCAD, EURGBP, EURAUD, GBPAUD, AUDCAD, AUDNZD, EURUSD, GBPUSD, USDCAD, EURCAD, USDCHF. Ready to elevate your trading? Discover how our bot can change the game for you. Dive into success with Samurai Day Trading Bot – where your trading journey meets real profits.
Advantages of Project DAY TRADING software
You'll hardly find better
Trading accuracy 98%
Project Samurai trading bot makes trades with over 98% accuracy. Imagine - almost all trading operations will bring you growth!
Smart trailing stop
Trailing stops of this trading robot helps to increase the profit size several times and get the largest possible positive result.
10 assets to trade
This Day trading robot trades on 10 different assets and this helps you make a lot more profits with good diversification.
Step-by-step manual
Each buyer receives a step-by-step manual. In simple words, installing this software will be hassle-free.
Consecutive wins = 8
Consecutive wins of Project Samurai Bot's trading operations is equal to "8", which means that it makes an average of 8 profitable trades in a row.
Maximum DD 7%
The maximum trading drawdown of this day trading bot does not exceed 7%. Your capital will be safe!
How it works?
Trading strategy
Trade smarter, not harder with the Samurai Day Trading Bot. Our strategy harnesses the unique calm of the Asian trading session, focusing on low-volatility price channels to secure consistent gains. While the market whispers, Samurai listens, identifying subtle movements that translate into profitable trades. This bot is your key to unlocking a world of steady returns, operating with precision while you enjoy peace of mind. Embrace the power of Samurai Day Trading Bot and turn the quiet hours into your most rewarding trading opportunity.
Selects the best periods for trades
This trading bot finds periods with low volatility and a horizontal flat channel of price movement. Trading in such a market is safe and easy.
Makes the most accurate trades
Using a special algorithm, Samurai bot makes very accurate trades with 98% accuracy. These trades allow your account to grow quickly.
Identifies maximum volatility spikes
Project Samurai EA makes trades with over 98% accuracy. Imagine - almost all trading operations will bring you profit!
Smart trailing stop
Using a sensitive trailing stop, the samurai bot fix a positive result until the price rolls back. Trade as accurately as possible!
What does each buyer receive?
Standard delivery set
- Samurai Trading bot for the platformMT4
- Samurai Trading bot for the platformMT5
- Set files for precise configuration on currency pairs: GBPCAD, EURGBP, EURAUD, GBPAUD, AUDCAD, AUDNZD, EURUSD, GBPUSD, USDCAD, EURCAD, USDCHF
- Step-by-step video instructions on how to install and configure this trading bot
- Assistance in installation and configuration (upon separate user request)
- Updated at least every 6 months
General information about Project Samurai presentation
Interesting to know
Automatic trading, also known as automated trading or algorithmic trading, refers to the use of computer algorithms to execute trading orders in financial markets. These algorithms are programmed to follow predefined sets of rules and criteria to make trading decisions without the need for human intervention.
The process of automatic trading typically involves the use of sophisticated software that analyzes market data, such as price movements, volume, and other relevant indicators, to identify trading opportunities. Based on this analysis, the algorithms generate buy or sell signals and execute trades at optimal times and prices.
There are various strategies employed in automatic trading, ranging from simple to highly complex algorithms. Some common strategies include trend-following, mean reversion, arbitrage, and statistical analysis. These strategies can be customized and fine-tuned by traders to suit their preferences and objectives.
Automatic trading offers several advantages over manual trading, including speed, efficiency, and the ability to execute trades in multiple markets simultaneously. It can also help eliminate emotional biases that can affect human traders and enable round-the-clock trading, as the algorithms can operate continuously without the need for rest.
However, automatic trading also comes with risks, such as technical failures, system errors, and the potential for losses if the algorithms are not properly designed or implemented. Additionally, the rapid pace of automated trading can sometimes contribute to market volatility and exacerbate price fluctuations.
Overall, automatic trading plays a significant role in modern financial markets, providing traders with powerful tools to execute trades more efficiently and effectively.
A trading strategy for automatic trading, also known as an algorithmic trading strategy, is a predefined set of rules and criteria used by computer algorithms to make trading decisions and execute orders in financial markets without human intervention. These strategies are designed to capitalize on specific market conditions, price movements, or patterns to generate profits.
A trading strategy for automatic trading typically involves several key components:
- Market Analysis: The strategy begins with analyzing market data, including price movements, volume, volatility, and other relevant indicators. This analysis helps identify potential trading opportunities and determines the conditions under which trades will be executed.
- Entry and Exit Signals: Based on the market analysis, the trading strategy generates specific entry and exit signals. These signals indicate when to initiate a trade (buy or sell) and when to exit a trade (close a position). Entry and exit signals are typically based on technical indicators, such as moving averages, oscillators, or chart patterns, as well as fundamental factors, news events, or macroeconomic trends.
- Risk Management: A crucial aspect of any trading strategy is risk management. This includes determining the size of each trade (position sizing), setting stop-loss orders to limit potential losses, and implementing risk-reward ratios to ensure that potential profits outweigh potential losses.
- Backtesting and Optimization: Before deploying a trading strategy in live markets, it is essential to backtest and optimize it using historical market data. Backtesting involves simulating the performance of the strategy over past market conditions to assess its effectiveness and identify potential weaknesses. Optimization involves fine-tuning the parameters of the strategy to maximize its performance and profitability.
- Execution: Once deployed, the trading strategy automatically executes trades based on the predefined rules and criteria. This typically involves connecting the strategy to a trading platform or broker's API (Application Programming Interface) to place orders directly in the market.
Trading strategies for automatic trading can vary widely in complexity and sophistication, ranging from simple trend-following or mean reversion strategies to more advanced machine learning algorithms and quantitative models. Traders may develop their own custom strategies or utilize pre-built strategies offered by trading platforms or third-party providers.
Overall, a trading strategy for automatic trading is a systematic approach to trading that aims to remove human emotions and biases from the decision-making process, while efficiently capitalizing on market opportunities to generate profits.
Creating automated trading software involves several key steps, which encompass programming, data analysis, testing, and deployment. Below is a detailed overview of the process:
- Define Trading Strategy: The first step is to define the trading strategy that the automated software will implement. This includes determining the entry and exit criteria, risk management rules, and any other parameters that govern trading decisions. The strategy can be based on technical indicators, fundamental analysis, quantitative models, or a combination of these approaches.
- Choose Programming Language and Tools: Selecting the appropriate programming language and development tools is crucial for building automated trading software. Common languages used include Python, C++, Java, and R, with Python being particularly popular due to its versatility and extensive libraries for data analysis and algorithmic trading.
- Access Market Data: Accessing real-time and historical market data is essential for analyzing market conditions and making informed trading decisions. Developers can obtain market data from various sources, including financial data providers, APIs (Application Programming Interfaces) offered by exchanges or brokers, and publicly available data repositories.
- Develop Algorithms: Program the trading algorithms that will execute the predefined trading strategy. This involves writing code to analyze market data, generate trading signals, calculate position sizes, implement risk management rules, and execute trades automatically. Algorithms can range from simple rule-based strategies to complex machine learning models.
- Backtesting: Backtesting is a crucial step in the development process, involving testing the trading algorithms using historical market data to assess their performance and profitability. Developers use backtesting frameworks and historical market data to simulate how the automated trading software would have performed under past market conditions. This helps identify strengths and weaknesses in the strategy and fine-tune parameters for optimal performance.
- Optimization: After conducting backtests, developers may optimize the trading strategy by adjusting parameters to improve performance metrics such as profitability, risk-adjusted returns, and drawdowns. Optimization involves finding the optimal values for parameters through iterative testing and analysis.
- Risk Management: Implement robust risk management mechanisms to control the level of risk exposure and protect capital. This includes setting stop-loss orders, position sizing rules, maximum drawdown limits, and other risk controls to manage downside risk effectively.
- Integration with Brokerage or Trading Platform: Integrate the automated trading software with a brokerage account or trading platform to enable live trading. This typically involves connecting to the broker's API to place orders, monitor account balances, and receive real-time market data.
- Deployment and Monitoring: Deploy the automated trading software in live market conditions and monitor its performance closely. Continuously monitor the software for any technical issues, anomalies, or deviations from expected behavior. Make necessary adjustments and refinements as needed to ensure optimal performance over time.
- Compliance and Regulations: Ensure that the automated trading software complies with relevant regulations and guidelines, particularly regarding algorithmic trading, market access, risk management, and data privacy. Adhere to best practices and regulatory requirements to mitigate legal and compliance risks.
Overall, creating automated trading software requires a combination of programming skills, domain expertise in financial markets, data analysis capabilities, and rigorous testing and optimization processes. By following these steps, developers can build robust and effective automated trading systems that can execute trading strategies efficiently in various market conditions.
Samuel A –
I invested $720 in Forex software from this website. In just one month, I earned approximately $2500, tripling my initial outlay. It’s been a fantastic investment!
Franz1999 –
Greetings. The scalping software under consideration necessitates an account featuring a narrow spread for optimal performance. Regrettably, its compatibility is limited in scope and may not align with the operational requirements of all Proprietary Trading Firms.