Fix Crypto Scanner Side Detection

@softsolution2000

Hi, the long/short flip you're describing usually comes down to a sign error or a misread on the signal threshold, sometimes it's as simple as a comparison operator pointed the wrong way after a refactor. With pandas/numpy/ta already in your stack this should be fast to isolate once I can step through your existing unit tests against a known historical window. I'd pull the repo, run the current tests to see where they pass despite the mislabeling (that usually means the tests aren't actually checking direction), then trace the signal logic against a chunk of Bybit historical data where you know the right answer. Once it's fixed I'll extend the test suite to lock in both directions and a few edge cases, then send a short patch with before/after evidence. Happy to start with a quick look at the relevant function before any commitment if that helps.

@point2solutions

—>> Bybit Trading Scanner Debugging & Signal Validation <<— Hello, I’ll review, debug, and optimize your Python-based Bybit market scanner to ensure accurate buy/sell signal classification, eliminate side-detection errors, and validate performance against both historical and live market data. Features * Complete Trading Logic Audit * Buy/Sell Signal Detection Fixes * Bybit REST API Review * Bybit WebSocket Integration Validation * Strategy Logic Debugging * Signal Direction Verification * False Positive Reduction * Historical Data Backtesting * Live Market Data Testing * Edge Case Analysis * Pandas & NumPy Optimization * Technical Indicator Validation (TA Library) * Unit Test Enhancement * Additional Regression Tests * Performance & Reliability Improvements * Logging & Error Handling Improvements WITH 3 MONTHS FREE SUPPORT AFTER DEVELOPMENT READY TO START WORK IMMEDIATELY!!!!! LETS CHAT … Thanks

@intelliresponse

As an experienced developer with a deep understanding of Python and trading algorithms, I am confident in my ability to fix the side-detection issue in your Bybit market scanner. In my 13+ years in programming, I have successfully developed multiple solutions similar to what you require: intelligent web mining systems and Robo Advisors capable of extracting, analyzing, and utilizing complex data for trade recommendations. This makes me suitable for analyzing and correcting the detection algorithm in your project. Additionally, I am no stranger to testing and debugging trading platforms. Combining this with my prior experience with REST/WebSocket APIs such as Bybit, I'll ensure that every true buy or sell signal is accurately classified while eliminating false positive signals that may disrupt trading decisions. Furthermore, my contribution will include comprehensive tests covering both regular and edge cases to verify the proper functioning of the revamped scanner. Choose me for a seamless correction of your crypto scanner's side-detection logic. Unveiling the true potential of your trading system – minimizing losses and seizing profitable trades – is guaranteed with my dedicated assistance! Let's begin building a sophisticated algorithmic trading system together – contact me today!

@zyeloncomputech

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@krupnovdenis

Hello! We can help you review and fix the scanner logic for correct buy and sell signal detection. 1. Is the issue isolated to the side-labeling logic, or are the entry conditions also affected? 2. Can we validate the fix against your preferred historical period and a few live Bybit pairs first? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@durgesh8527

As a veteran Full-Stack Development Team with strategic expertise in PHP and Python, I am delighted to introduce myself as your all-in-one solution to resolve your Crypto Scanner Side Detection flaws. I bring you hands-on experience in fixing market-scanners particularly catered towards cryptographic markets. With astute knowledge leveraging the Bybit REST/WebSocket APIs and standard Python trading libraries, I'm well-acquainted with the optimization process that your project demands. As asserted by your prominence, it is fundamental to sort data accurately and quickly for effective decision-making in the crypto world. Being skilled in not only logic correction but also stress-testing solutions against live and historical datasets, my approach guarantees maximum error reduction and increased test coverage for eventual edge cases. My 12+ years of industry experience have bestowed upon me the ability to build scalable applications and automate systems, which aligns perfectly with streamlining your project.

@PINESCRIPTERR

Hi, I can review the signal side logic and fix the long/short inversion without turning the trading rules into a different strategy. I’d start by tracing where the scanner converts indicator conditions into `buy/sell` or `long/short` labels, then compare that against Bybit candles, position direction, and the existing tests. Once the wrong mapping is found, I’d patch it cleanly and add focused tests for the edge cases: bullish/bearish crossovers, threshold boundaries, flat/no-signal periods, and any reversed symbol/timeframe behavior. For validation, I’d run the existing unit suite, extend it where needed, and replay historical Bybit data so we can confirm the corrected labels match the expected market direction. If live WebSocket testing is available, I’d also run a short monitored session to make sure the real-time path matches the backtest path. Question 1: Do you already have examples of trades/signals that were mislabeled, or should I identify them from logs? Question 2: Should I preserve the current strategy rules exactly and only fix labeling, or also flag weak logic that may be creating false positives? Regards, Houssame

@toriquldev123

Hello dear, I’m Md Toriqul Islam, an experienced Python developer with 10+ years of expertise in trading bots, market scanners, API integrations, and algorithm debugging. I understand your Bybit scanner is misclassifying long and short signals, and you need the detection logic reviewed, fixed, and validated against live and historical data. I’ve worked on similar trading systems involving signal generation, technical indicators, and exchange APIs. My skills in Python, Bybit API, pandas, numpy, ta, and automated testing ensure accurate signal detection and reliable performance. I can quickly identify the issue, correct the logic, expand test coverage, and provide a clean, documented patch with validation results. Ready to start immediately. Best regards, Md. Toriqul Islam.

@sufyanasmat38

With a decade's worth of experience in software development under my belt, including proficient skills in multiple coding languages such as Python, Java, C++, and JavaScript, I have no doubt that I'm the perfect candidate for your project. Not only do I possess the programming skills you need to fix and enhance your scanning algorithm, but I also specialize in Python trading libraries like Pandas and Numpy that are essential for your project's Bybit REST/WebSocket API integration. Moreover, my thorough understanding of artificial intelligence (AI) and machine learning (ML) will be invaluable to your project. I have practical experience with Neural Network custom architecture (Tensorflow & PyTorch), image processing (OCR; YOLO & SSD models), and multi-stage classification designing. These experiences give me the dexterity needed to identify flaws in complex algorithms while ensuring precise results.

@arslanshahid386

Hi there, Thanks for sharing the details about your project. It sounds like you need some help fixing the side-detection logic in your Python market-scanner for Bybit. I can review the algorithm to ensure that it correctly identifies buy and sell signals, while also minimizing false positives. Given my 4+ years of experience with Python and algorithm development, I can analyze your existing code and make the necessary adjustments. I appreciate that you have unit tests in place, and I’ll make sure to extend them to cover any edge cases I find during debugging. After making the corrections, I’ll provide a clean patch or pull request along with a summary of the changes and the testing results to ensure everything works as intended. One question I have is: are there any specific market conditions or historical data patterns you want me to focus on during the stress-testing phase? Best regards, Arslan Shahid

@NeuralNetWorker

Hi! I build and debug crypto trading bots in Python for a living, so inverted side-detection is familiar ground. A clean flip of every long into a short usually comes down to one of a few things: a comparison operator the wrong way round, entry and exit conditions swapped, or a sign mismatch between the signal and the order side (mapping positive momentum to "Sell", say). I'll trace the logic against live and historical Bybit data, fix it, and extend your unit tests so each true buy and true sell is asserted and false positives get caught. You get a clean commented PR, a short summary, and the test output proving it labels correctly now. Point me at the repo and tell me which symbols and timeframes you scan, and I'll start from the side-detection function.

@ricardo686

⭐ Hi there, When buy and sell signals are being inverted, the root cause is often deeper than a simple conditional error—it can involve indicator interpretation, trend-state transitions, position logic, or signal confirmation rules. I can review the complete signal-generation pipeline, trace how long/short decisions are derived, validate behavior against historical and live Bybit data, and extend the existing test suite to cover edge cases and prevent future regressions. The goal will be to deliver a verified fix that correctly classifies buy and sell opportunities while reducing false positives and maintaining consistency across both REST and WebSocket-driven workflows. I've worked extensively with Python, trading systems, market data processing, algorithm debugging, and performance-sensitive financial applications. Ready to start immediately.

@dtk507

I can review and correct the side-detection logic in your Python-based Bybit market scanner, identify the root cause of the long/short inversion, and harden the signal-generation pipeline against false positives. Scope of work: * Audit the existing buy/sell detection and labeling logic. * Trace signal flow from indicator calculation through trade-side assignment. * Verify Bybit REST/WebSocket data handling and side mapping. * Review and extend unit tests to cover inversion, edge-case, and regression scenarios. * Backtest corrected logic against historical market data. * Validate behavior against live Bybit market feeds in a non-execution environment. * Deliver a clean, documented patch with a summary of findings and test results. Deliverables: * Corrected signal-detection implementation. * Additional unit and regression tests. * Validation report showing buy/sell classification accuracy before and after the fix. * Clear documentation of all changes made. Estimated timeline: 1–3 days depending on codebase size and test infrastructure. Estimated effort: 8–16 hours. To get started, I’ll need repository access, sample misclassified signals, and any existing backtesting or testing setup.

@mahads31

As a software development studio, my team and I at Solves Inn have extensive experience in API integration and Python coding—critical skills for your project. We have built and implemented numerous digital solutions involving complex data manipulation, such as those required by the Bybit REST/WebSocket APIs. Combined with our strong background in unit testing and debugging, we can not only fix the side-detection logic but also expand the existing tests to capture any edge cases we discover along the way. Our approach focuses on creating clean, scalable systems, designed for long-term success—which is precisely what you need for your market-scanner. After we fix the side-detection algorithm, we will thoroughly stress-test it against both live and historical Bybit data to ensure every true buy and sell signal is correctly tagged while eliminating false positives. Moreover, our broad range of industry experience means that beyond solving this specific issue, we thoroughly understand how essential reliable detection is for crypto trading. Our deliverable is more than just a cleaned-up code; it includes a detailed summary of the changes alongside comprehensive test evidence that affirms your scanner now behaves as desired. Make a sound investment for your trading operations by partnering with us at Solves Inn.

@Jennycreation

With over 17 years of experience in the software development field, I can guarantee that my team and I have the necessary skills and expertise to solve any problem you encounter – including even the most complex algorithmic concerns. In fact, our specialization in Python Scaping and Automation development work, along with our comprehensive understanding of cryptocurrency trading, has already prepared us for a task such as this. Our deep understanding and use of APIs – including Bybit REST/WebSocket – combined with our ability to write clean, efficient code will ensure that every true buy signal is now flagged as intended and that no extra false positives slip through the cracks. Our extensive stock trading software knowledge sits comfortably alongside our Python proficiency, ensuring complete coverage of all your unique needs. At the end of the project, you'll be supplied with a full patch report alongside a brief summary denoting any changes made. Finally, we're not just interested in delivering a working product but also in fostering your total satisfaction. Therefore, expect nothing short of exceptional work from skilled professionals when you choose us for this job.

@jeanpatrickr8

Hello, I appreciate the opportunity to assist with your Python-based market scanner project. I understand that you need to correct the side-detection logic to ensure accurate buy and sell signals, while also stress-testing the algorithm against both live and historical Bybit data. With extensive experience in Python development and a strong background in algorithm optimization, I have worked on similar trading systems that integrate REST/WebSocket APIs and utilize libraries like pandas, numpy, and ta. My expertise in debugging and refining trading algorithms positions me well to address the issues you are facing. To ensure the successful completion of your project, I will: - Review the existing detection logic to identify discrepancies and implement necessary corrections. - Conduct thorough stress-testing using both historical and live data to confirm the accuracy of buy and sell signals. - Extend the existing unit tests to cover any edge cases I identify during debugging. - Deliver a well-commented patch or pull request alongside a detailed summary of changes and test results to demonstrate the improved functionality. I am eager to start working on this project and am confident in delivering the results you need. Please feel free to reach out to discuss further details.

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi there, Thank you for sharing your Python-based market-scanner project brief. I can enhance your market-scanner for Bybit exchange by fine-tuning the side-detection logic and stress-testing it against live and historical data. I will ensure accurate tagging of buy and sell signals while eliminating false positives. I will deliver: • Review, correction, and stress-testing of the detection algorithm • Tagging true buy and sell signals accurately • Preventing any false positives You will also receive: • Updated unit tests covering all edge cases • Clean, commented patch or pull request with a summary and test evidence I am confident I can execute this project efficiently. Looking forward to discussing further steps with you. Best regards, Chirag

@cliftonc20

Hello, your scanner sounds close to usable, but the side inversion points to a boundary error in how signal state is translated into trade intent, and that’s the part I’d inspect first. The real engineering risk is not the indicator math itself, but inconsistent decision logic between historical evaluation and live event handling from Bybit. I’ve built production systems that depend on correct classification under both streaming and historical replay conditions. In Python, I usually isolate the decision path, verify each intermediate state, and then prove the fix with deterministic tests plus replay validation. The closest match here is Dent-Cloud, where I worked on real-time and historical time-series analysis, anomaly detection, and validation logic. AI Translator Plugin is also relevant on the live-stream side because it required debugging correctness under continuous event flow. I’d approach this by separating data normalization, signal generation, and final side assignment so the inversion point is obvious. Then I’d extend tests around edge cases like partial updates, reversals, and duplicate event handling, and compare live behavior against historical replays to catch false positives. This is the kind of fix that should leave the scanner easier to reason about long term, not just patched. If useful, I can start by tracing the side-decision path and outlining a minimal test matrix before touching the logic. Clifton

@FreeLancers360

With my extensive experience as a Full Stack Developer and my proficiency in Python and PHP, I am the ideal candidate to fix the side-detection logic on your crypto scanner. I understand the criticality of accurate buy and sell signals in cryptocurrency trading and have a keen eye for catching even the slightest errors. I have worked with trading APIs, like Bybit's REST / WebSocket APIs in developing multiple reliable applications. Moreover, data integrity is central to any algorithmic trading system, which is why I take thorough testing very seriously. I will go beyond just fixing the current bug; I will conduct rigorous stress-testing with both historical and live data to ensure that your scanner identifies every true buy and sell signal accurately while eliminating false positives. Delivering clean, commented codes with unit tests that cover all critical scenarios won't be an issue for me. My primary focus is on delivering high-performance applications with optimum maintainability. Given the complexity of your project, you can trust me to deliver a sophisticated solution that not only fixes your problem but also enhances the overall performance of your trading system.