Custom Trading Indicator for Pocket Option

@gotucat

Hi, I reviewed the need for a custom, high-accuracy short-term indicator/alert system for Pocket Option with clear CALL ↑ / PUT ↓ signals. I’ll build the Financial Software Development logic in PHP with strong multi-indicator confirmation using trend, momentum, volatility, and support/resistance, plus selectable 1-minute, 5-minute, and 15-minute timeframes. I’ll ensure no repainting, stable historical signals, and include alerts plus full backtesting with win/loss and drawdown statistics, along with adjustable risk-management and signal settings. Let’s discuss here now.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a High-Accuracy Trading Indicator for Pocket Option ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a custom trading indicator for Pocket Option. You don't need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects for trading indicators. I will create a system that analyzes price action and technical indicators to provide clear CALL and PUT signals. ➡️ Why Me? I can easily create your trading indicator as I have 5 years of experience in developing trading systems, focusing on price action analysis, technical indicators, and alert systems. My expertise includes multi-indicator confirmation, backtesting, and optimizing strategies for better performance. I also have a strong grip on TradingView integration and user-friendly interface design. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work and discuss how we can achieve your goals together. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Trading Systems Development ✅ Price Action Analysis ✅ Technical Indicator Design ✅ Alert Systems ✅ Multi-Indicator Confirmation ✅ Backtesting Functionality ✅ Risk Management Strategies ✅ User-Friendly Interface ✅ TradingView Integration ✅ Performance Optimization ✅ Data Analysis ✅ Signal Filtering Waiting for your response! Best Regards, Zohaib

@vladang

Pocket Option signals must be confirmed at candle close, or the backtest will overstate real performance. For 1m, 5m, and 15m charts, I’d build a TradingView indicator using trend, momentum, volatility, and support/resistance filters, with non-repainting CALL/PUT markers and once-per-bar alerts. The backtest would record every signal, win/loss rate, losing trades, drawdown, and results by timeframe. Entry and expiry rules will be explicit, and I’ll account for the price-feed difference between TradingView and Pocket Option. Settings will control filter strength, session, risk, and signal frequency. I don’t have a matching public Pocket Option example to present, so I won’t attach an unrelated project. My estimate is 10–14 days and $2,000 fixed, including source code, testing, statistics, and revisions. Which expiry should each signal use: one candle, fixed minutes, or a selectable setting?

@efanntyo

Hi there, I am Efanntyo, an experienced developer specializing in financial software and algorithmic trading solutions. I understand you're seeking a custom trading indicator for Pocket Option that offers high accuracy and clear CALL/PUT signals, specifically designed for short-term binary options trading. With a strong background in PHP, algorithm development, and financial software architecture, I have successfully developed several indicators and trading systems that integrate multiple technical indicators to enhance decision-making. My expertise includes creating non-repainting indicators with robust backtesting capabilities to deliver reliable and actionable insights. For your project, I propose developing an indicator that incorporates trend analysis, momentum, volatility, and support/resistance levels to provide strong filtering against false signals. The system will generate alerts for 1-minute, 5-minute, and 15-minute timeframes and offer a user-friendly interface for adjustable risk management and signal settings. Additionally, I can ensure compatibility with TradingView or similar platforms for seamless integration with Pocket Option. I am committed to optimizing the strategy for the best possible historical win rate while providing comprehensive backtesting results to illustrate performance, including losing trades and drawdown. I am eager to share examples of my past work and discuss how I can tailor my approach to meet your specific needs. Looking forward to the opportunity to collaborate on this exciting project. Best Regards,

@sdqtrades

As a seasoned developer with an unwavering passion for automating trading processes and bolstered by a wide range of technical skills and experience, I am confident that I can deliver exactly what you need for your Pocket Option indicator. As evidenced by my extensive knowledge in both financial trading and algorithm development, I can craft a robust, high-accuracy trading indicator-alert system tailor-made for the unique terrain of Pocket Option's short-term binary trading. Moreover, my proficiency in coding languages such as Python will administer an added level of flexibility and adaptability to ensure your project remains future-proof and capable of handling changing market dynamics. My expertise also extends to backtesting functionalities, a crucial aspect you've identified, which will enable us to fine-tune your strategy using detailed win/loss statistics. To achieve the best possible results, my approach includes deploying multiple indicators in tandem to confirm trends, establish momentum, assess volatility, and identify support/resistance levels. My dedication to clean, clear optimized codes ensures smooth interface functionality for easy usage combined with an eradication of any repainting or disappearing historical signals. Furthermore, my fluency in several languages implies that we can communicate effectively at all stages of development.

@PINESCRIPTERR

The first decision is the signal timing. A genuinely non-repainting indicator should confirm signals only after a candle closes. Intrabar alerts can arrive earlier, but their conditions may disappear before close, which conflicts with the requirement for stable historical signals. I would build the indicator in TradingView Pine Script with confirmed-bar logic, selectable expiries/timeframes, configurable filters, CALL/PUT alerts, and a full backtest view. The strategy would combine market regime, trend, momentum, volatility, support/resistance, and minimum confluence rather than stacking indicators that measure the same behavior. Results would include every winning and losing signal, drawdown, consecutive losses, sample size, session performance, and payout-adjusted expectancy. For binary options, win rate alone is misleading because profitability depends on the payout percentage and execution price. Testing would also separate development data from untouched out-of-sample periods to reduce overfitting. One important limitation is feed alignment: Pocket Option prices, especially OTC instruments, may differ from TradingView. Signals and timestamps must therefore be validated against the exact assets you trade before performance is assessed. Will this be used on standard market instruments available in TradingView, or Pocket Option OTC assets? Regards, Houssame

@maxscender

I can help you build a custom TradingView indicator that generates clear CALL/PUT signals for Pocket Option, with a focus on reducing false entries rather than chasing perfect historical win rates. I’ll structure it around multi-indicator confirmation — trend direction, momentum, volatility, and key support/resistance — so signals only fire when multiple conditions align. The indicator will be fully non-repainting: once a signal appears, it stays fixed. You’ll get selectable timeframes (1m, 5m, 15m), alert notifications, and a built-in backtesting panel that shows win/loss stats, consecutive losses, max drawdown, and full trade history — not just the winning trades. For the strategy logic, I’ll avoid curve-fitting and over-optimization. Instead, I’ll use robust market principles that work across different sessions and market conditions, with adjustable risk filters so you can tighten or loosen entry criteria based on your preference. The result will be a practical, easy-to-use signal system you can run on TradingView and use to guide Pocket Option trades with full transparency on performance.

@waqaswebmaster

I’m an algorithmic trading developer with 4+ years of experience in indicator development, technical analysis, signal systems and backtesting. I can build a non-repainting CALL/PUT indicator with trend, momentum, volatility and support/resistance confirmation, configurable timeframes, alerts and detailed backtesting statistics. I’ll focus on realistic historical performance, drawdown and false-signal reduction rather than making unrealistic profit guarantees.

@BarryCrouch

Hello⭐️, Most binary signal systems optimize for backtest win rates that collapse live because they ignore Pocket Option’s quote feed latency and expiry mechanics. I’d start by reverse-engineering your broker’s actual price delivery timing, then build signals around confirmed tick arrivals—not idealized bar closes—to match real execution windows. Filtering false signals requires modeling market microstructure: 1-min noise dominates during off-peak hours, so I’d tie signal generation to volume-weighted volatility regimes rather than static indicator crossovers. Confirmation logic would layer trend (EMA slope), momentum (RSI divergence), and structure (fractal S/R) only when all align within a dynamic time window. Backtests must simulate payout asymmetry and partial fills; raw win % is meaningless without expected value calculation. Do you have recorded live trade logs showing actual entry delays vs. chart signals? Provide sample Pocket Option trade history so I can quantify real-world slippage and design signals that survive execution gaps, not just theoretical accuracy.

@arslanshahid386

Hi, I can help you with this project. I have relevant experience with PHP and can handle the work from development to testing and delivery. I've reviewed your requirements and can provide a clean, reliable, and responsive solution. Let's discuss the details and get started. Best, Arslan Shahid

@rosscarter1011

Hello, Pocket Option binary signals fail when backtests ignore real-world execution latency and spread slippage. I’d build the indicator in TradingView Pine Script with explicit timestamp logging to prevent repainting, then validate signals against tick-level historical data—not just OHLC bars—to reflect actual 1-min/5-min entry conditions. Multi-indicator confirmation must include volatility filters (e.g., ATR thresholds) to suppress signals during low-liquidity periods when false breakouts dominate. Win rate optimization targets risk-adjusted returns, not raw accuracy; a 65% win rate with 1:2 payout beats 80% at 1:1 after broker margins. Alerts would route via TradingView webhooks to external notifiers since Pocket Option lacks native API integration. Do you have access to tick-level historical data for your target assets, or should I source it separately? Share your preferred asset list and timeframe priorities so I can tailor volatility filters and confirm backtest realism matches Pocket Option’s actual execution environment.

@thomasb726

★★★★★ ASAP QUALITY CLARIFY ★★★★★ Payout decides this build, not win rate, since at 80 to 92 percent break-even lands near 55 and anything under that bleeds while the chart looks green. I've built the engineering half before: data pipelines and reporting that had to reconcile against a second source of truth. I'll build the signals in Pine Script confirming on the closed bar only, which is what actually stops repainting, and fire alerts off that same close. The backtest scores every trade against your real payout rather than raw hit rate, because TradingView's feed and Pocket Option's aren't the same prices and that gap decides whether this is worth running. What payout does your account actually get on the one-minute pairs you trade? BEST TOM!

@mdabdullahallm5

I can build a non-repainting short-term CALL/PUT signal system with multi-indicator confirmation, configurable 1m/5m/15m timeframes, alerts, support/resistance, trend, momentum and volatility filters, plus comprehensive backtesting statistics. I’ll focus on realistic robustness rather than curve-fitting, with transparent win/loss, drawdown and losing-trade results. TradingView/Pine Script is a strong choice for development and validation, and I can structure the system so signals are clearly formatted for your Pocket Option workflow.

@aktarujjamana7

I can develop a custom non-repainting trading indicator and alert system tailored for Pocket Option, combining multiple confirmation layers including trend analysis, momentum, volatility filters, market structure, and support/resistance logic to reduce false signals and improve overall signal quality. The system will provide clear CALL/PUT alerts on configurable timeframes (1m, 5m, 15m), include detailed backtesting with win rate, drawdown, and trade statistics, offer fully adjustable risk and signal parameters, and be delivered on TradingView with an intuitive interface and real-time alert functionality. I will also provide transparent performance reports based on historical testing so all results can be independently verified.

@jonasdedzo

Hi there, I understand you need a custom short-term trading indicator for Pocket Option that focuses on high-quality CALL/PUT signals while being transparent about the real performance rather than promising unrealistic profits. I can develop a structured signal system combining trend, momentum, volatility and support/resistance confirmation, with configurable 1-minute, 5-minute and 15-minute timeframes. The indicator will be designed with non-repainting logic so historical signals remain fixed and can be properly evaluated. I’ll also build the backtesting component to provide meaningful statistics including win/loss ratio, signal frequency, drawdown and losing trades. The strategy can then be tested and tuned against historical data to reduce false signals without overfitting the results. The interface will provide clear CALL/PUT signals, adjustable parameters and alerts, with the implementation targeted toward TradingView or another suitable signal platform depending on how you intend to connect the signals with Pocket Option. I’ll focus on realistic, testable performance rather than guaranteeing a particular win rate, and I’ll provide the strategy logic and test results clearly so you can evaluate the system before using it with real funds.

@mahads31

As a highly-skilled developer, I am proficient in several programming languages and frameworks that make me the ideal candidate for your project. My experience with PHP, JavaScript, React.js, Node.js, Python, MySQL, HTML/CSS, n8n and AI Automation gives me the capability to build a comprehensive indicator system tailored specifically for Pocket Option. My background in building CMS and CRM solutions ensures that I understand the unique challenges of developing trading indicators and how to integrate them into existing platforms. In terms of creating reliable and efficient technology for long-term business growth, my work speaks volumes. I have not only built similar indicators but also automated trading systems that require similar filtering and confirmation functionalities to reduce false signals. To provide a solution that meets your needs exactly, I leverage detailed backtesting to formulate effective strategies with adjustable risk-management configurations for maximized potential gains. Additionally, my offerings don't stop at software development; they include clear communication-centric approach fostering transparency and clarity throughout the process. I'd be excited to collaborate with you on optimizing this indicator for the highest win rate possible based on realistic scenarios.

@melopgabriel

Hello, Greetings , Good afternoon! I am skilled mobile computer programmer with skills including Metatrader, Algorithmic Trading, Trading, Backtesting, Algorithm, Financial Software Development, Software Architecture and PHP. Please contact me to discuss more about this project. A fast response is appreciated

@ianb65

Hi there, Your Pocket Option setup needs cleaner CALL ↑ / PUT ↓ signals without repainting, and I’ve solved this kind of software architecture before. I’ll build a multi-indicator workflow with trend, momentum, volatility, and support/resistance filters, then add backtesting, win/loss stats, drawdown tracking, and alert logic so the signals stay stable across 1-minute, 5-minute, and 15-minute charts. Best regards, Ian

@engruhulajom

Hello Dear! Good Day! Hope you are doing fine. This is Ruhul Ajom Sagor. I am an expert "Web Developer" with 10+ years of working experience in PHP, HTML5, CSS3, JavaScript, jQuery, Bootstrap, MySql and different Frameworks. I have completed my B.S.C Engineering in Computer Science and Engineering (CSE) from BUET. Hire me and you don't have to worry about your website problems again! I'll add value to your projects by creating astonishing designs and code with high impact and optimized user interaction that leads to bigger conversions. WHAT PROBLEMS CAN I HELP YOU SOLVE? • Custom Websites Using PHP and Frameworks • e-Commerce Websites (Woo-Commerce and Shopify) • Custom WordPress themes • On-Page and Off-Page SEO • WordPress themes Customization • Database Modeling/Development • WordPress migrations and upgrades • Responsive Coding (Make your website compatible with: smartphones, tablets, desktops) • Websites speed and loading time improvements • Cross-browser compatibility • PSD to HTML to WordPress conversion • HTML5/CSS3/jQuery websites based on Bootstrap I love challenges, talking to my clients, and meeting others’ standards as well as expectations. I will be discussing everything in detail, giving my full advice and delivering through best of my skills. You are cordially welcome to discuss your project. Thank You! Best Regards, Ruhul Ajom