Backtestingemplois
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Je veux mettre en place les paramètres convenables pour tester une stratégie comme sur le réel c'est à dire prendre en considération les variations des prix, la commission, le slipage,...etc. et ne pas se baser sur l'ouverture et fermeture de bougie. Je pense vous m'av...slipage,...etc. et ne pas se baser sur l'ouverture et fermeture de bougie. Je pense vous m'avez compris. Je suis disponible pour répondre à toutes vos questions. Le travail peut-être réalisé soit sur mon ninjatrader directement à travers anydesk ou m'envoyer un fichier texte décrivant toutes étapes avec explications. La personne doit être professionnelle et ayant une bonne connaissance du backt...
Je suis en quête d'un Expert Advisor (EA) haute fréquence qui emploie l'apprentissage automatique et les technologies de réseaux de neurones. L'EA doit être prêt pour un déploiement sur le marché réel, avec une documentation étoffée des performances antérieures et une compatibilité avec ma plateforme de trading actuelle. J...vendeur en tant que de besoin. Le candidat idéal devra avoir : - Une expérience confirmée dans le développement et la vente d'EAs haute fréquence. - Une expertise en machine learning et en développement neuronal appliqués au trading financier. - Des retours positifs et un portfolio de projets similaires. - La capacit&ea...
Bonjour. Je suis trader et ai une stratégie en backtesting depuis 4 ans. Je travaillais depuis toujours sur Ninja mais depuis 1 an je suis passe à Ctrader. A présent je voudrai automatiser ma stratégie mais ne connais rien en programmation.
...Risk-Reward Ratio Strict Stop Loss rules Clear Take Profit levels 6. Entry & Exit Rules The script must include well-defined rules for: Buy entry Sell entry Stop Loss placement Take Profit exit Optional early exit conditions 7. Chart Signals The strategy should display: Buy signals on chart Sell signals on chart Stop loss and take profit levels Optional alerts 8. Backtesting Strategy must include built-in backtesting capability Developer should provide backtest results and logic explanation Deliverables Clean and well-commented Pine Script code Strategy that can be applied directly on TradingView Documentation explaining: Strategy logic Entry/exit rules Recommended timeframe Preferred Qualifications Proven experience with TradingView Pine Scrip...
...process should run automatically and reliably in real time. System Constraints All order executions must originate from inside AmiBroker. The implementation must use AmiBroker AFL or its plugin interface. The integration must not interfere with existing setups, including: Real-time market data feeds Historical data Custom data feeds already connected to AmiBroker Existing charting and backtesting environment Developer Deliverables 1. AmiBroker–OpenAlgo Bridge Create a stable integration layer (any of the following): AmiBroker Plugin (DLL) External middleware script AFL wrapper calling OpenAlgo APIs This bridge must convert AmiBroker signals into OpenAlgo orders. 2. Order Lifecycle Handling The system must properly manage the entire order lifecycle including:...
...sizing logic Integrate fully with Quantower Algo API. Enable: Strategy backtesting Strategy optimization Live auto-trading deployment Provide clean, well-documented, and maintainable code. Deliver compiled strategy files ready for deployment inside Quantower. Technical Requirements Strong experience in C# and .NET Prior experience with Quantower Algo / Quantower API Experience in algorithmic trading systems Knowledge of backtesting frameworks Understanding of order management systems Knowledge of risk management in trading Understanding of live trading execution issues (slippage, spread, latency) Deliverables Fully functional Quantower trading strategy Complete source code with documentation Backtesting results Optimization report Deployment ins...
...Institutional Trading Dashboard including: • Market regime dashboard • Sector rotation analysis • Market breadth indicators • Intraday momentum scanner • Swing breakout scanner • Pullback opportunity scanner • Relative strength ranking vs Nifty • Volume spike scanner • Multi-chart layout dashboard 5. Develop AFL scripts for: - stock ranking - exploration scans - signal generation - backtesting strategies Deliverables: • Fully configured AmiBroker setup • NSE data feed working properly • Custom AFL source code (not locked) • Exploration scanners • Dashboard layout • Documentation • 1–2 hours of training on how to use the system Experience Required: • Strong experience in Am...
...stack for the modelling and testing work. In addition, it would be a strong plus if they also have experience with Golang, as our backend is built in Golang and there may be some integration and collaboration with our engineering team. The core of our pricing and risk algorithm is already implemented. What we mainly need support with now is: - testing and validating the existing models; - backtesting and stress testing under different scenarios; - identifying weaknesses or edge cases; - recommending improvements and, where needed, refining the implementation in Python and aligning it with our Golang backend;...
...analyze market data, test strategies, and provide a live dashboard for monitoring Requirements Data Collection Connect to a trading platform API (example: Deriv or similar). Collect and store historical price data. Ability to update data automatically. Market Analysis Engine The tool should: Analyze price movements. Detect patterns or indicators. Allow custom strategy rules. Backtesting System Test strategies using historical data. Show results such as: Win rate Profit/loss Drawdown Number of trades Live Analysis Run the strategy on live data. Generate signals or alerts when conditions are met. Dashboard A simple web dashboard where I can: View charts Monitor signals See performance statistics Control strategy settings Suggested frameworks: Python Panda...
...estimating: * Probability of price moving away from the MA * Probability of price reverting toward the MA * Expected movement magnitude after MA interaction * Possible models may include: * Gradient Boosting * Random Forest * XGBoost / LightGBM * Deep Learning (optional if beneficial) 4. **Training & Validation** * Proper train/test separation * Backtesting methodology to avoid data leakage * Performance evaluation with appropriate metrics 5. **Output** * The model should produce a **confidence score or probability** for potential price movement relative to the moving average. **Important Constraints:** * The system must rely **only on the Moving Average and price data**. * No external indicators should be used. * Focu...
I need a Pine Script strategy that captures clear trend-following signals specifically for the forex market on TradingView. The goal is to translate my conceptual rules into clean, well-commented code that I can drop straight onto any major currency pair chart and begin forward-testing right away. At a minimum, the script should: • Detect trend direction reliably (you may propose MA crosses, ATR-based confirmation, or another robust method). • Provide entry and exit logic that suits a trend-following style, including optional stop-loss and take-profit parameters. • Plot visual cues on the chart and trigger strategy-tester orders for full performance stats. • Offer adjustable inputs so I can fine-tune parameters without editing the core code. I’m comfortabl...
...automatically trade execute karta hai. Flow: AI Signal → Bot → Exchange API → Execute Trade Example Python code: import ccxt exchange = ({ 'apiKey': 'API_KEY', 'secret': 'SECRET' }) order = exchange.create_market_buy_order('BTC/USDT', 0.001) 5️⃣ Bot Creator Dashboard User apna custom bot create kar sakta hai. Features: Strategy builder Risk control Stop loss / take profit Backtesting Paper trading Example UI: Create Bot │ ├ Strategy ├ Risk Settings ├ Trading Pair └ Activate Bot 6️⃣ Backend Infrastructure Recommended stack: Frontend React Backend Node.js Python AI server Database MongoDB Hosting Vercel Cloudflare 7️⃣ Security System (Very Important) Crypto bot platform me securit...
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I'm looking to develop a TradingView indicator coupled with a trading bot that executes commands based on the indicator's signals. My manual trading has been successful, but automation via Pine Script results in poor backtest outcomes. Scope of work - Develop a Pine Script v6 indicator for TradingView with robust backtesting showing 25-50% annual returns over 150-450 trades. - Create a Python trading bot using ccxt for multi-exchange operation with webhook integration. - Ensure the bot supports Bybit, Binance, OKX, and others, with configurable trading pairs and risk management settings. - Optimize the indicator by refining multi-timeframe levels, ATR positioning, and volume analysis to balance between price lag and premature entries. - Implement advanced trading strategie...
Title: Build Automated AI Sports Betting System + Discord Bot Description: I am building an AI-driven sports betting analytics platform. I need a developer to build a fully automated system that: • Pulls live and histor...Regression baseline + XGBoost improvement) • Calculates: • True probability • Implied probability • Expected Value (EV) • Edge % • Filters bets only if EV > 5% • Applies risk management rules: • Max 2 units per bet • Max daily loss 5 units • Max 5 bets per day • Automatically posts picks to Discord via bot • Logs all bets in database • Tracks ROI, drawdown, and Closing Line Value • Includes backtesting module Must deploy on DigitalOcean or AWS. Deliverables: • Working...
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...sizing logic Integrate fully with Quantower Algo API. Enable: Strategy backtesting Strategy optimization Live auto-trading deployment Provide clean, well-documented, and maintainable code. Deliver compiled strategy files ready for deployment inside Quantower. Technical Requirements Strong experience in C# and .NET Prior experience with Quantower Algo / Quantower API Experience in algorithmic trading systems Knowledge of backtesting frameworks Understanding of order management systems Knowledge of risk management in trading Understanding of live trading execution issues (slippage, spread, latency) Deliverables Fully functional Quantower trading strategy Complete source code with documentation Backtesting results Optimization report Deployment ins...
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Project Title:Backtest Nifty 50 1-Hour Triple Supertrend Strategy with Options Execution Simulation Objective:I want a complete backtest of my positional strategy on Nifty 50 futures/options to evaluate performance, risk, and viability. The output must be detailed, actionable, and clearly structured for decision-ma...in Excel or CSV format for all trades and metrics Include all calculations with clear column labels 5️⃣ Communication & Timeline Delivery Time: 7–10 days (negotiable) Regular updates are appreciated Freelancer should clarify doubts about entry/exit rules before starting 6️⃣ Skills Required Python / TradingView / Amibroker / Excel VBA Nifty 50 futures and options understanding Experience in backtesting technical strategies Ability to deliver clean, actionab...
...raw ideas and translate them into production-ready algorithms. The core of the job is end-to-end algorithm development: ingesting historical market data, crafting and refining signal logic, running robust backtests, and preparing the strategy for live execution through a broker API. You should be comfortable working with common quant tools—pandas, NumPy, SciPy, ta-lib, or similar—as well as a backtesting framework such as Zipline, Backtrader, or your preferred equivalent. Clean, modular code with thorough docstrings and unit tests is essential because I plan to iterate quickly once the initial version proves itself. I will supply any proprietary data or specific parameter ideas; you’ll advise on data cleaning, feature engineering, position sizing, and risk con...
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...AI-driven prediction models, backtesting capabilities, and supervised bet placement. Below are the key requirements: Data Collection & Storage: - Ethical scraping of historical data from official Spanish lottery websites (e.g., ). - Database: PostgreSQL or MongoDB. - Automatic updates daily at 00:02 after each draw. - Web scraping tools like BeautifulSoup or Scrapy, mimicking human behavior. AI Prediction Models: - Multiple AI models working collaboratively: Random Forest, Neural Networks (RNN/LSTM), Genetic/Evolutionary Algorithms, Bayesian Networks, and optionally Neuro-Symbolic AI. - Hot and cold number analysis. - Wheeling system for partial prize optimization. - Monte Carlo simulations for expected value estimation on high jackpots. Backtesting: - Test models a...
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Crypto Futures Trading Bot - Job Description Python automated trading system for perpetual futures. Analyzes funding rates, open interest, and price action to generate trading signals with 0-100 scoring system. Bot collects real-time market, stores in PostgreSQL, and executes trades with 1% risk per position using ATR-based stops and 2:1 risk/reward...generator - Trade execution with stop-loss/take-profit - Safety filters - Telegram notifications - Auto-reconnection for DB/exchange failures Simple Tasks Available: - Add trade statistics dashboard (win rate, P&L tracking) - Improve Telegram commands (/stats, /balance, /history) - Create database backup script - Integrate kill switch with trade execution - Add trailing stop-loss feature - Build backtesting module - Optimize sig...
...kiteconnect library WebSocket live data Modular code structure Error handling Daily access token auto generation Clean documentation Deployment Deploy on: AWS / DigitalOcean / Indian VPS Must include: Setup guide Backup instructions Logging system Phase 2 Dashboard (Streamlit) Backtesting engine Capital allocation logic Multi-strategy switch WhatsApp / Telegram trade alerts Performance analytics Deliverables Fully working source code Setup documentation 2 weeks support after delivery Strategy explanation Backtesting results Budget Open to: Fixed price OR Milestone-based payment Screening Question (Very Important) Please answer: Have you built systems using Zerodha Kite API before? Can you show live trading bot examples? How will you handle daily token refresh? How wi...
...controls: Slippage filters (max 5%), price range (0.30-0.90), fixed amount per trade ($5-10 initial), and max copy amount ($20-50). Automatic exit options (e.g., sell before expiry or if loss >10%). Basic interface: A Python or JS script that runs on cloud (AWS or similar), with logs in Telegram or email for notifications. Security: Use environment variables for keys, no hardcoding. Testing: Backtesting with historical data and dry-run before live. Required skills: Programming in Python (preferred) or JavaScript/Node.js. Blockchain experience (Ethereum/Polygon, or ). APIs and trading bots (e.g., Polymarket SDK, websockets for realtime). Knowledge of crypto and prediction markets (Polymarket specific is a plus). Cloud deployment (AWS, Heroku or similar for 24/7). Looking fo...
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...deploying systematic trading strategies. Scope of work Develop algorithmic trading strategies in Python (QuantConnect / LEAN) Backtesting and performance optimization Integrate strategies with Interactive Brokers (IBKR) Implement risk management and position sizing logic Work with historical and live market data Deploy and maintain strategies in live trading environment Analyze performance (PnL, Sharpe, drawdown) Requirements Proven experience in algorithmic trading / quant development Strong Python programming Experience with QuantConnect or LEAN Engine Experience with IBKR API integration Understanding of US equities / ETFs markets Experience with backtesting frameworks Knowledge of trading risk management Nice to have Intraday or HFT strategies pandas...
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...Expectation Developer must: Take responsibility for automation state machine integrity Ensure backend is authoritative over GUI Ensure wiring and plumbing operate cohesively Deliver documented state transitions Deliver inspectable logs Provide a clear fail-closed policy Be available during US market hours for validation testing Required Experience Do not apply if: You have only built backtesting systems You have not routed live broker API orders You have not handled OAuth lifecycle management You have not handled partial fills You have not debugged race conditions Must demonstrate: Broker API production experience Idempotent order routing Distributed locking models Execution reconciliation systems Cash-account enforcement logic Asynchronous concurrency handl...
...infrastructure. Project Scope The platform will provide: Core Features Real-time crypto charts (BTC/USDT and other pairs) WebSocket market data integration (Binance, Bybit, OKX, etc.) Technical indicators: RSI, MACD, EMA/SMA, VWAP, Bollinger Bands AI-powered signal engine (not simple indicator crossover logic) Entry, take-profit, stop-loss suggestions Multi-timeframe analysis Historical backtesting and signal performance metrics User System User authentication & dashboard Premium subscription plans Signal history & performance tracking Alerts via Telegram, email, webhook, or mobile push Admin System Signal monitoring dashboard Strategy performance analytics User & subscription management Technical Stack (Flexible) We are open to: Frontend: React...
I'm looki...experienced Python developer to create an algorithmic trading bot based on my own unique strategy for options trading. The bot should incorporate the following key functionalities: - Backtesting: Ability to test the strategy against historical data. - Real-time data feed: Integrate with reliable data sources for live market updates. - Automatic order execution: Execute trades automatically based on the strategy signals. Ideal Skills and Experience: - Proficiency in Python and experience with trading libraries. - Strong understanding of options trading and market dynamics. - Experience in developing and backtesting trading algorithms. - Familiarity with integrating real-time data feeds and order execution systems. Please provide examples of previous work an...
Necesito desarrollar un bot de trading avanzado enfocado exclusivamente en criptomonedas y orientado a estrategias de day trading. Busco una solución completa: desde la arquitectura del sis...similar) para alertas clave y registros de actividad. Entrego la estrategia base y quedo abierto a sugerencias sobre indicadores, patrones o lenguajes (Python, Node.js, etc.). Requiero: 1. Código fuente bien documentado. 2. Archivo de configuración para pares de trading y parámetros. 3. Instrucciones de despliegue en VPS o servidor local. 4. Pruebas unitarias y reporte de resultados en backtesting. Valoro experiencia previa con bots de criptomonedas, manejo de WebSocket/REST, y buenas prácticas de seguridad al firmar órdenes. Si tienes eje...
...Overview: I need a freelancer to extract detailed stock portfolio data from ~24 Mutual Fund Monthly Factsheets (PDFs). I will provide the URLs/Files. Your job is to extract the full stock holdings table for specific funds and deliver a consolidated, clean Excel/CSV file. The Goal: I need the complete list of stocks (100% of the portfolio), NOT just the Top 10. The data is used for financial backtesting, so accuracy is critical. Even top 85-90% data works. Scope of Work: Input: ~24 PDF Files (Monthly Factsheets). Target Funds: For each month, extract data for the Top 10 Equity Funds (e.g., Bluechip, Midcap, Smallcap, Value Discovery, etc. - list will be provided). Total Volume: Approx. 240 tables (24 months × 10 funds). Output Format: A single Consolidated Excel/CSV fi...
...Overview: I need a freelancer to extract detailed stock portfolio data from ~24 Mutual Fund Monthly Factsheets (PDFs). I will provide the URLs/Files. Your job is to extract the full stock holdings table for specific funds and deliver a consolidated, clean Excel/CSV file. The Goal: I need the complete list of stocks (100% of the portfolio), NOT just the Top 10. The data is used for financial backtesting, so accuracy is critical. Even top 85-90% data works. Scope of Work: Input: ~24 PDF Files (Monthly Factsheets). Target Funds: For each month, extract data for the Top 10 Equity Funds (e.g., Bluechip, Midcap, Smallcap, Value Discovery, etc. - list will be provided). Total Volume: Approx. 240 tables (24 months × 10 funds). Output Format: A single Consolidated Excel/CSV fi...
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...Overview: I need a freelancer to extract detailed stock portfolio data from ~24 Mutual Fund Monthly Factsheets (PDFs). I will provide the URLs/Files. Your job is to extract the full stock holdings table for specific funds and deliver a consolidated, clean Excel/CSV file. The Goal: I need the complete list of stocks (100% of the portfolio), NOT just the Top 10. The data is used for financial backtesting, so accuracy is critical. Even top 85-90% data works. Scope of Work: Input: ~24 PDF Files (Monthly Factsheets). Target Funds: For each month, extract data for the Top 10 Equity Funds (e.g., Bluechip, Midcap, Smallcap, Value Discovery, etc. - list will be provided). Total Volume: Approx. 240 tables (24 months × 10 funds). Output Format: A single Consolidated Excel/CSV fi...
I need a custom algorithmic trading application built specifically for stocks. The software must integrate smoothly with a mainstream brokerage API (please indicate which APIs you already support) and provide a clean, dashboard-style interface so I can design, test, and run strategies without digging into the code each time. Key functional requirements • Backtesting capabilities – historical data import, parameter optimisation, and walk-forward testing in one place. • Automated trading – real-time order generation and execution with the option to pause, step, or switch to paper trading instantly. • Risk management tools – position sizing rules, max-drawdown stops, and alerting so the system can throttle or halt trading when limits are breached...
I am looking for a quantitative finance freelancer to help me implement, backtest, and document fixed-income trading strategies as part of a university-level research project in Fixed Income Securities. This is a serious quantitative project, close to what you’d see in asset management, hedge funds, o...financial logic No “black-box” solutions — everything must be explainable Timeline Flexible but ideally completed within 2–3 weeks Milestones possible (Part B → Part C) Budget Open / negotiable Will prioritize quality and expertise over lowest price Ideal Freelancer Profile Background in quant finance, financial engineering, or economics Experience with rates or credit markets Has done backtesting projects before Can communicate clearly...
Manual Chart Backtesting for Futures Trading Strategy (TradingView) I need a detail-oriented person to help backtest a trading strategy on NQ (Nasdaq 100) futures charts. What you'll do: - Review historical NQ futures charts on TradingView (1m, 5m, and 15m timeframes) - Identify specific setups using a public indicator (training provided) - Log setup formations and outcomes in a Google Sheet - Work through historical data week by week - Cover all trading hours including overnight sessions Note: If AI could do this work, I would be using it. This requires manual visual chart analysis and human judgment. Please don't apply if you plan to automate or shortcut the process. Requirements: - TradingView account (free tier works, Premium preferred) - Attention to detail &mdash...
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...Trading & Backtesting platform for Indian markets (Options-focused). The project is ~70% already complete, and I’m now taking it from a single-user system to a multi-user, production-ready platform. The idea is similar in spirit to OpenAlgo (GitHub reference), with the goal to: Finalize multi-user architecture Fix remaining bugs & edge cases Deploy on cloud infrastructure Make the system stable and ready to launch I’m looking for an experienced full-stack Python developer who can work closely with me, actively code, and guide me through the final stretch. Scope of Work Convert single-user algo → multi-user platform Implement user isolation (strategies, brokers, capital, risk) Debug and stabilize the existing 70% completed codebase Improve execu...
Manual Chart Backtesting for Futures Trading Strategy (TradingView) I need a detail-oriented person to help backtest a trading strategy on NQ (Nasdaq 100) futures charts. What you'll do: - Review historical NQ futures charts on TradingView (1m, 5m, and 15m timeframes) - Identify specific setups using a public indicator (training provided) - Log setup formations and outcomes in a Google Sheet - Work through historical data week by week - Cover all trading hours including overnight sessions Note: If AI could do this work, I would be using it. This requires manual visual chart analysis and human judgment. Please don't apply if you plan to automate or shortcut the process. Requirements: - TradingView account (free tier works, Premium preferred) - Attention to detail &mdash...
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...Parameter-tunable by the user 2. Automated Bot Implementation The bot must: Be coded in a reliable backend language (Python/Node.js/GO, etc.) Connect to exchange APIs securely (API keys with no withdrawal permission) Handle rate limits and errors properly Store logs and trade history Support real money and testnet environments Support configurable parameters (trade size, risk limits, pairs, etc.) 3. Backtesting + Reporting Provide: Backtest results on historical data Performance statistics (profit / loss / drawdown) Visual reports Confidence intervals 4. Delivery & Documentation Deliverables include: Full source code Installation instructions Strategy documentation + parameter explanations Example configuration files Optional UI or command-line interface Technical Requirement...