Backtesting Jobs

I need an independent ML engineer to audit and possibly fix an existing football/soccer match prediction system. The system is already built in Python/FastAPI and uses API-Football, The Odds API, scikit-learn, XGBoost/LightGBM/CatBoost/PyTorch models, and saved trained model files. The app runs locally and produces predictions, but the outputs look suspicious and I need an expert review before deciding whether to repair it or rebuild the model layer. Current issues found: - Many predictions are repeated with exact 95% confidence. - Batch test showed almost all matches predicted Under 2.5 / Under 3.5 / BTTS No. - Some models fail because live prediction has 103 features while trained models expect 122 features. - Some CatBoost models report missing features. - Some labels fail with previ...

I need a Pine Script strategy built for TradingView that follows the exact FRAMA-based rules demonstrated in this video: Core logic • Replicate the entry and exit logic shown in the clip, using the FRAMA indicator for signal generation. • Give me three independent exit options I can toggle on or off in the settings: – Stop-loss calculated from ATR – Take-profit calculated from ATR – The discretionary exit rule explained in the video ATR length and multiplier must be user-configurable. Higher-timeframe filter The strategy should open a new position only when there is already an active trade on one or more higher charts. I want to be able to specify Daily, 30-minute, 5-minute, and 1-minute as selectable filters. A simple drop-down or multi-select in...

I want a fully-tested Guardian automation file that executes my horse-racing strategy without manual input. The core logic is Lay/back trading with a second layer, that lays a runner pre-off once its price has drifted by a chosen percentage (20%), then offsets the lay by a fixed number of ticks (15) but only 80% outlay of the initial lay bet outlay. eg lay bet $100 @ $2, second layer bet $80 At$2.30 to lock in profit. Key elements to build inside BetAngel: • Entry rules – detect the target runner (the favourite), place the initial back or lay based on live price movement, and timestamp relative to scheduled off-time. (start 5 mins prior to finish at start time(lay bet only) and if back bet required is to finish 10 mins after start time • Drift trigger – calculate...

I’m building a fully automated trading system in Python that can execute both day-trading and swing-trading strategies on live equity and forex markets. The core objectives are: • Real-time data ingestion from a broker/API, with latency low enough for intraday decision making • Strategy engine that supports separate rule sets for day trades and multi-day swing positions • Robust risk-management layer (position sizing, stop-loss, take-profit, max draw-down guardrails) • Integrated backtesting module so I can validate ideas on historical data before going live • Clean, well-commented codebase that I can extend, plus simple configuration files for tweaking parameters without rewriting code I’m comfortable providing API keys and sample datasets; y...

I have a set of annotated screenshots that capture every element of an existing TradingView strategy, but no source code. Your job is to translate those images into a clean, fully functioning Pine Script Strategy that behaves exactly like the original: same plots, same signals, same back-test results. You will receive the screenshots and a brief explanation of the intended logic as soon as we start. I expect: • A single .pinescript file written in Pine v5 • Settings, inputs and plots matching what appears on my charts • Comments in the code so I can follow the logic and tweak parameters later • A short note comparing your back-test metrics to the ones visible in my images to confirm the match Please send me a private message that includes at least one TradingVi...

I need an end-to-end AI trading system that can operate across stocks, cryptocurrencies, and forex while holding a casual, friendly conversation with the user. The bot should ingest real-time market data, analyse it with machine-learning models, place trades automatically, and then explain its logic in plain language. Users must be able to ask questions like “Why did you take that position?” or “What’s the risk right now?” and receive understandable, jargon-light answers. Connectivity The engine has to plug into mainstream exchange APIs—Binance, Coinbase, Kraken—and be architected so additional brokers can be added with minimal code changes. Self-improvement Beyond static strategies, the system should evaluate its own performance, retrain whe...

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I'm seeking an experienced developer to create a sophisticated stock trading bot for the NYSE and NASDAQ. The bot should effectively implement scalping, day trading, and swing trading strategies. Key Requirements: - The bot must be capable of executing trades on both NYSE and NASDAQ. - It should support multiple trading strategies: scalping, day trading, and swing trading. - The bot needs to be robust, secure, and able to handle high-frequency transactions without lag. -The bot must be capable of trading on any time frame, such as 1 Day, 1 Hour, or 1 Minute. -The bot must be capable of also applying to forex and futures. Ideal Skills and Experience: - Proven experience in developing trading bots, especially for stock markets. - In-depth knowledge of stock trading strategies and mark...

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There is a suite of pre-configured Python bots that currently run on cTrader. I now want them fully aligned with my own trading system and expanded in two key areas: • Introduce a robust trend-following strategy that fits the logic and data feeds I already use. • Bolt on solid risk-management controls—hard stop-loss orders, dynamic position sizing, and trailing stops—so every position automatically respects my predefined exposure limits. All code must remain within the cTrader Automate (cAlgo) environment while leveraging Python connectors where necessary. Clean, well-commented modules and a brief “how-to” document for deployment are required once the work is complete. I’m based in Kazan and would strongly prefer a local, English-speaking de...

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