Bybit Crypto Signal Strategy Integration

Looking for a Profitable Crypto Trading Strategy, Signal Module or Existing Trading System – Bybit **Budget: $1,000 USD – Fixed Price** ### Project Overview I am looking for an experienced developer or quantitative trader who can provide, develop or adapt a **profitable cryptocurrency trading strategy or signal-generation system** for Bybit USDT perpetual futures. I am particularly interested in identifying LONG and SHORT trading opportunities with the potential for **significant price movements, preferably 5% or more**. I am completely open to different trading approaches. You may propose: - An existing, proven trading strategy. - A ready-made trading signal module or algorithm. - An established trading system that can be adapted to Bybit. - A custom-developed quantitative trading strategy. - A combination of existing tools, indicators and models. **You do not need to develop everything from scratch.** The most important requirement is that the solution demonstrates a genuine, reproducible trading edge. ### What I Am Looking For The system should: - Identify potentially profitable LONG and SHORT opportunities. - Focus on substantial market movements rather than small, random price fluctuations. - Generate actionable signals early enough to capture meaningful profit potential. - Monitor a broad selection of Bybit USDT perpetual markets. - Minimize false signals and avoid entering trades after most of the movement has already occurred. - Operate automatically and reliably. - Be suitable for integration with my existing Python trading bot. I am not requiring any specific indicator, trading model, timeframe or technical architecture. The developer is responsible for selecting the most effective approach. ### Existing Trading Bot I already have a Python trading bot with trade execution, risk management and position management. The proposed solution only needs to generate trading signals and integrate with this existing system. It must not replace or modify the bot's existing trade execution, position sizing, leverage or exit logic. ### Performance Verification **Claims of profitability must be supported by verifiable evidence.** The selected solution must undergo realistic historical backtesting using the existing bot's execution and exit rules. Final historical acceptance requirements: - At least 100 independent, fully closed out-of-sample LONG trades. - At least 100 independent, fully closed out-of-sample SHORT trades. - Profit factor of at least 1.50 separately for LONG and SHORT. - Positive net expectancy for both directions after realistic trading costs. - Maximum portfolio drawdown of 15%. - Positive overall net results after excluding the five largest winning trades. - No lookahead bias, cherry-picking or unrealistic execution assumptions. The final strategy must be frozen before testing on untouched out-of-sample data. Existing strategies and ready-made modules are welcome, but they must meet the same verification requirements. ### Demo Trading and Delivery After successful historical validation and integration, the system must complete: - Four full weeks of Bybit Demo Trading. - Verification of actual signal generation and execution. - Comparison between historical and Demo Trading performance. - Ten business days of independent technical review. The final delivery must include the complete working system, source code, configuration, documentation and reproducible test results. ### Budget and Payment The total budget is **$1,000 USD, fixed and all-inclusive**. One Freelancer escrow milestone may be funded upfront. No partial milestone releases. Final payment is made after successful completion and acceptance of all agreed requirements, subject to Freelancer's escrow and dispute-resolution rules. Future profitability cannot be guaranteed. Acceptance is based on the specified, independently verifiable historical and Demo Trading results. ### When Applying Please briefly explain: 1. Do you already have a profitable strategy, trading module or existing system that could be used for this project? 2. What historical or live trading results can you provide as evidence? 3. What makes your approach suitable for identifying substantial cryptocurrency price movements? 4. Can your solution integrate with an existing Python/Bybit trading bot? 5. Do you accept the $1,000 fixed budget and all verification, Demo Trading and payment conditions? **I welcome both developers with proven existing solutions and experienced quantitative developers who can build a new one.** I am interested in verifiable performance, not promises or a particular trading methodology.