Backtesting jobs
I'm seeking an expert to implement my TradingView automated trading code into IBKR for Mini Futures Nasdaq trading. The code includes entry and exit signals, risk management, and backtesting capabilities. Key Requirements: - Connect IBKR and TradingView - Implement existing code without modifications - Ensure all functionalities work seamlessly Ideal Skills: - Experience with IBKR and TradingView integration - Proficiency in trading automation - Familiarity with Mini Futures and associated strategies Please provide relevant experience in your bids.
...ideas should build upon that document rather than repeat it. What we do: * Custom MT4 & MT5 Bot Development * TradingView Pine Script Development * Python Trading Bots * Crypto Trading Bots * Copy Trading Platforms * Indian Broker API Integrations * Binance & Delta Exchange Automation * Nifty, Bank Nifty, Futures & Options Automation * AI Trading Bots * Trading Scanners & Screeners * Strategy Backtesting Platforms * Custom Trading Software Who we're targeting: * Professional Traders * Algo Traders * Prop Firms * Fund Managers * Fintech Startups * Trading Communities * Signal Providers * Serious Retail Traders What I'm looking for: * Unique, scroll-stopping video ideas * Strong hooks within the first 3 seconds * Storytelling that generates curiosity...
Project Overview I am looking for an experienced quantitative trading developer with strong expertise in TradingView Pine Script, Python backtesting, and statistical strategy validation. The goal is not to create another simple indicator based on RSI or MACD. Instead, I want to develop a data-driven multi-factor trading score for XRP that identifies high-probability buy zones, sell zones, and warning zones based on historical validation. The project should focus on objective statistical evidence, not subjective technical analysis. Objectives The project consists of three phases: Phase 1 – Historical Research & Validation Analyze the historical performance of various technical indicators and determine which combinations have produced the highest probability trading s...
...identify trading opportunities using artificial intelligence, provide clear explanations for each trading decision, and automatically execute trades through supported broker APIs based on predefined strategies and user-configurable risk management settings. The platform should include a secure user dashboard, real-time market data integration, AI-driven trade analysis, automated trade execution, backtesting, performance analytics, subscription billing, an admin portal, and enterprise-grade security. Experience with fintech applications, AI/ML, trading platforms, API integrations, and cloud deployment is highly desirable. This description is suitable for posting on freelance platforms, sharing with software agencies, or using as the opening section of a formal Scope of Work docu...
...Risk-Reward ratio - Filtering low-quality setups --- Fallback Logic If no valid option support/resistance levels are available, the strategy should automatically switch to an alternate execution model based on: - EMA crossover - NIFTY directional confirmation - Price action confirmation --- Features Required Market Data - Live market data - Historical data - Expired options data (for backtesting) - Multiple timeframes --- Scanner The system should continuously scan: - NIFTY - CE options - PE options and identify valid trading opportunities. --- Trade Management Automatic calculation of: - Entry Price - Stop Loss - Target - Position Size - Maximum Risk - Risk-Reward Ratio --- Order Management - Paper trading mode - Live trading mode - Automatic order placement ...
...futures, and crypto. In this role, you will bridge the gap between quantitative research and production-grade software engineering, focusing heavily on intra-day trading systems and complex portfolio optimization. ### **Key Responsibilities** * **Strategy Development:** Design and implement robust, high-performing intra-day trading algorithms for equities, futures, and digital assets. * **Backtesting & Validation:** Build, maintain, and optimize simulation frameworks to backtest strategies using historical and live market data. * **Portfolio Optimization:** Implement mathematical models for asset allocation, risk management, and portfolio rebalancing. * **Risk & Execution:** Develop risk management modules to monitor real-time exposure, drawdowns, and transaction costs....
...Dashboard showing account balance, profit/loss, trade history, win rate, and compounding performance. - Notifications via Telegram or mobile for completed trades, profits, losses, and important events. - Emergency safety features, including maximum daily loss, maximum drawdown limits, and automatic trading pause during extreme market conditions. - Secure API integration with encrypted credentials. - Backtesting and paper trading before live deployment. - Easy-to-use settings so risk levels and compounding percentages can be adjusted. Performance Goals The bot should prioritize: - Consistent long-term profitability. - Stable account growth through compounding. - Capital preservation. - Low drawdown. - High-quality trades rather than a high number of trades. I am looking for a ...
...5+ years of MQL4/MQL5 programming experience (for MT4/MT5 EAs). - Proven experience building EAs specifically for proprietary firms. - Verified backtests and live forward-testing results to demonstrate performance rather than marketing claims. Additional expertise required: - Trading strategy development. - Risk management and position sizing. - Prop firm rules and how they are enforced. - Backtesting and forward testing. - Strategy optimization. - Multi-timeframe analysis. - Market structure and price action. - News and economic calendar integration. - API integration if external data or AI is used. - Debugging and performance optimization. - Version control (such as Git) and professional software development practices. If you want an advanced "AI" EA, the developer ...
...IGNORE YOU!!!!!!.......... $20 PROJECT MAX, OR $25 IF YOU ARE GOOD PROJECT: NON-PRINT BID/ASK STRUCTURE RESEARCH PLATFORM (PHASE 1) OBJECTIVE Build a lightweight Python application that uses Interactive Brokers (IBKR) Time & Sales data to create and maintain two custom Non-Print Line Break structure engines. This phase is focused on data collection, structure generation, storage, replay, and backtesting preparation only. No AI development is required. PHASE 1 SCOPE Build only two engines: ENGINE 1 * Bid Non-Print Structure Engine * Uses ONLY Bid-side Non-Print data * Structure Setting: * 1 Line Break * 1 Tick Interval ENGINE 2 * Ask Non-Print Structure Engine * Uses ONLY Ask-side Non-Print data * Structure Setting: * 1 Line Break * 1 Tick Interval DATA S...
...seven tightly-integrated modules: 1. Data Pipeline • Pull equities, options and futures data from Alpaca, Interactive Brokers and Yahoo Finance. • Prioritise data accuracy over raw ingestion speed, with validation, deduplication and time-zone normalisation baked in. • This pipeline and the Strategy Library are the only components that need to touch external APIs directly. 2. Backtesting Engine • A hybrid architecture: vectorised processing for speed, event-driven logic for realism. • Swappable execution models (market, limit, slippage) and portfolio-level handling. 3. Strategy Library • Five starter strategies: pairs trading, momentum, statistical arbitrage, regime detection and volatility trading. • Each st...
I’ve built an algorithmic strategy inside TradingView that trades both cryptocurrencies and major Forex pairs. What I’m missing is a clean, reliable way to connect this strategy to external tools (Claude or any other AI-driven assistant you recommend) so I can automate deeper analysis and run historical backtests withou...export the results in CSV or JSON. Acceptance criteria • Live connection from TradingView alerts to Claude confirmed by test alerts. • Comprehensive backtest report covering BTCUSD, ETHUSD, EURUSD, GBPUSD and one exotic pair of my choice. • Clean, commented code or integration steps I can reuse and extend. If you’re fluent in Pine Script, REST/webhook integrations, and have prior experience backtesting algorithmic s...
...Python API plus a lightweight dashboard where I can watch signals, order flow, and P&L in real time. Please make the architecture modular so I can swap data feeds, brokers, or models without rewiring everything. Deliverables 1. Source repository with strategy engine, data connectors, execution layer. 2. Trained AI models (minimum three months of intraday data) ready for online learning. 3. Backtesting module mirroring live logic, outputting Sharpe, drawdown, win rate, etc. 4. Deployment guide and short video walkthrough. 5. 3 year data of every F&O stocks with tic data Acceptance criteria: after hand-off, the system must run five consecutive sessions—either in paper trading or with small live capital—without critical errors and with a positive expec...
...classifications * Historical states * Line Break states * Replay data Database: Preferred: * PostgreSQL * TimescaleDB Alternative recommendations are welcome. DASHBOARD REQUIREMENTS The system should provide a single primary dashboard. The dashboard should contain: MAIN TRADING WINDOW One visual chart only. This chart will be used for: * Future strategy development * Historical replay * Backtesting * Trade simulation * Signal visualization This is the only full chart that requires rendering. STRUCTURAL STATUS PANELS Display: 100 Bid Structural Panels 100 Ask Structural Panels Total: 200 small status blocks These are NOT charts. These are lightweight dashboard elements. Each block should display the current classification state and scores for its corresponding...
...classifications * Historical states * Line Break states * Replay data Database: Preferred: * PostgreSQL * TimescaleDB Alternative recommendations are welcome. DASHBOARD REQUIREMENTS The system should provide a single primary dashboard. The dashboard should contain: MAIN TRADING WINDOW One visual chart only. This chart will be used for: * Future strategy development * Historical replay * Backtesting * Trade simulation * Signal visualization This is the only full chart that requires rendering. STRUCTURAL STATUS PANELS Display: 100 Bid Structural Panels 100 Ask Structural Panels Total: 200 small status blocks These are NOT charts. These are lightweight dashboard elements. Each block should display the current classification state and scores for its corresponding...
...classifications * Historical states * Line Break states * Replay data Database: Preferred: * PostgreSQL * TimescaleDB Alternative recommendations are welcome. DASHBOARD REQUIREMENTS The system should provide a single primary dashboard. The dashboard should contain: MAIN TRADING WINDOW One visual chart only. This chart will be used for: * Future strategy development * Historical replay * Backtesting * Trade simulation * Signal visualization This is the only full chart that requires rendering. STRUCTURAL STATUS PANELS Display: 100 Bid Structural Panels 100 Ask Structural Panels Total: 200 small status blocks These are NOT charts. These are lightweight dashboard elements. Each block should display the current classification state and scores for its corresponding...
...(daily), EMA 20 (4H) all pointing same direction • Gate 2: Momentum strength — ADX > 25, MACD crossover, RSI > 50 (longs) / < 50 (shorts) • Gate 3: Entry trigger — Breakout/retest or Supertrend flip, volume spike above 20-period avg Score 7/9 or above = actionable signal. Below 7 = watch only. Output: Daily report with score, entry zone, stop loss level, ATR — in plain English. MODULE 2 — Backtesting Run 7+ scoring strategies on 3 years of historical data. Report: Sharpe Ratio, Max Drawdown, Win Rate. MODULE 3 — Paper Trading (optional live execution later) 4 weeks of simulated trading before any real capital. Live execution via Zerodha Kite / Binance API only after validation. Every live trade requires one-click human approval....
Custom HiLo Activator Backtest for B3 Stocks with Options Liquidity Hello! I am looking for a professional with experience in quantitative backtesting to develop a custom study using the HiLo Activator indicator. Objective The goal is to identify, for each Brazilian stock (B3) with options liquidity, which HiLo period provides the best performance in both bullish and bearish trends. Each stock may have its own optimal period. For example, some stocks may perform best with a 10-period HiLo, while others may achieve better results with 15, 20, 32 periods, and so on. Study Period * Approximately the last 5 years. What Needs to Be Tested Test multiple HiLo Activator periods for each stock, evaluating both upward and downward trends. I am open to suggestions regarding the metho...
Title: Crypto Trading Bot Developer (Python) Description: We are looking for an experienced developer to help build and im...reliability Debug and improve existing trading systems Requirements: Strong Python experience Experience with cryptocurrency exchange APIs Experience building trading bots or algorithmic trading systems Familiarity with WebSockets, REST APIs, and real-time market data Knowledge of risk management and trading concepts Nice to Have: Experience with futures trading Experience with backtesting frameworks Experience with cloud deployment (AWS, DigitalOcean, VPS) Please include: Relevant trading bot experience Exchanges you have worked with Hourly rate Availability to start Project Type: Short-term project with potential for ong...
Project Title: ATR Trend Indicator Conversion to Automated Trading Strategy Project Overview I would like to convert an existing TradingView indicator into a fully automated TradingView strategy (Pine Script v6). The indicator already generates blue and red triangle signals. The goal is to use these existing signals to automate long and short trading with simple position management and...webhook automation through TraderPost. Deliverable A complete Pine Script v6 strategy based on the existing ATR Trend indicator signals, including: Long and short reversal logic. Configurable fixed stop-loss. Configurable dollar amount per trade. Optional short-selling enable/disable switch. TraderPost-compatible alert conditions. Clean and well-structured code suitable for live trading and backte...
Project Title: Advanced Zerodha Kite API Intraday Trading Algorithm (Python) Project Description: I need an experienced Python developer to build a fully automate...using: - Previous Day High/Low - Volume Confirmation - Structure Break - 2–3 Candle Acceptance - No trade during low-volume sideways markets. - Support staged entries (100, 200, 700 shares). - Automatic hedge order based on my custom rules. - Automatic exit on: - Structure break - Volume fade - Opposite high-volume candle - Time exit before market close Additional Requirements - Backtesting support - Paper trading mode - Live trading mode - Clean, well-commented source code - Installation guide and documentation The developer should be available for future updates as I continue improving my tra...
I need a skilled developer to integrate the IBKR API with Pydantic models, focusing on financial transaction data. Step 1. Basic Prototype. Let's build a relationship and grow together if we're both happy. Key tasks include: - Integrate IBKR API for: - Ticker information - Historical data - Real-time quotes - Data validation and parsing using Pydantic -backtesting Ideal skills and experience: - Proficiency in Python, Pydantic, and API integration - Familiarity with IBKR API and financial data - Strong error handling and logging capabilities
I am looking for someone who understands: Python / Pandas / NumPy Financial time series Macro indicators Backtesting Portfolio performance metrics Optimization methods such as grid search, random search, or Optuna Walk-forward testing / avoiding overfitting Questions for Applicants Please answer: Have you built any Python financial backtest or quant research notebook before? Have you worked with FRED or macroeconomic data? How would you test different weights without overfitting? What Python libraries would you use? Can you share a relevant example of your previous work?
...prioritize developers who can explain why a trade should be taken or avoided, rather than those who simply code mechanical rules. --- # Main Objective I already have a Smart Money Concept indicator that plots: * BOS (Break of Structure) * CHoCH (Change of Character) I would like to convert this logic into a complete TradingView strategy with: * Automated entries * Automated exits * Full backtesting * TradingView alerts * Webhook automation compatibility The goal is to enter explosive moves in US small-cap stocks as early as possible while avoiding false CHoCH signals that do not lead to a genuine trend. --- # Primary Timeframe The strategy will mainly be used on: * 1-minute charts The objective is to capture explosive moves in highly volatile US stocks. I would also ...
I’m ready to turn my existing ...(separate data, logic, execution, and reporting layers) and clear in-line comments so I can extend the system later. Preference for standard libraries plus proven packages such as pandas, numpy, TA-Lib (if helpful), and FastAPI or Streamlit for the monitoring front end—though I’m open to your suggestions. Deliverables will be: 1. Fully commented Python source files and 2. A backtesting notebook or script with sample results 3. Setup instructions to run everything on my local machine or a VPS 4. A brief hand-off session (video or chat) to walk me through deployment and daily use If you’ve built live trading bots on Kite before and can demonstrate solid error handling as well as latency-aware execution, I’d love...
Project Title: Pine Script V5 Strategy: 200 EMA Trend Following with Advanced Trailing Stop Project Overview:I need a professional Pine Script (Version 5) developer to create a backtesting and automated trading strategy for TradingView. The strategy is focused on trend-following for Cryptocurrency markets using the 200 Exponential Moving Average (EMA) with strict risk management. Core Strategy Logic:Long Entry: Enter a Buy position when a candle closes above the 200 Entry: Enter a Sell position when a candle closes below the 200 EMA. Initial Risk Management:Stop Loss (SL): For a Long trade, the SL will be the Low of the entry candle. For a Short trade, the SL will be the High of the entry Profit (TP): Fixed target at 1:5 Risk-to-Reward (RR) Trailing Stop-Loss
...technical indicators including RSI, MACD, Bollinger Bands, ATR, Stochastic Oscillator, Williams %R, OBV, moving averages, volatility metrics, and momentum-based features. • Implemented feature engineering pipelines to transform raw OHLCV market data into predictive trading intelligence. • Built time-series forecasting systems with proper train-test separation, walk-forward validation, and backtesting to eliminate data leakage. • Created confidence-based prediction models capable of generating future price forecasts and probability-driven trading signals. • Developed scalable REST APIs using FastAPI for stock predictions, technical indicators, portfolio operations, and market analytics. • Integrated Pydantic validation and structured API architecture ...
Need an experienced Python Quant Developer to build a backtesting and research engine for a crypto futures trading strategy (BTC and ETH perpetual futures). This is a Phase 1 research project only. I am NOT looking for a live trading bot at this stage. The objective is to validate the strategy using historical data, realistic execution assumptions, fees, slippage and performance analysis before considering live deployment.
I have several raw financial data sets—daily price feeds, transaction logs, and balance-sheet snapshots—sitting in CSV format. The task is to load these files into Python (think pandas and NumPy), clean and merge them where necessary, then dig into the numbers to pinpoint meaningful trends. I need clear, reproducible insight rather than black-box output, so please organise the work in a Jupyter Notebook that: • shows each transformation step, • highlights any assumptions or filters applied, and • concludes with well-labelled visualisations (matplotlib or seaborn are fine) that make the identified trends obvious at a glance. A short written summary of the findings—key upward or downward movements, cyclical patterns, and anything unusual worth fla...
I'm seeking an experienced Python developer specializing in data analysis for financial data backtesting. Key Requirements: - Proficiency in Python - Strong background in financial data - Expertise in backtesting algorithms and strategies Ideal Skills: - Experience with libraries such as Pandas, NumPy, and Matplotlib - Knowledge of financial markets and instruments - Ability to create efficient and accurate backtesting models Please provide examples of previous work in financial data analysis and backtesting.
I have an index-futures trading strategy that I want rigorously back-tested to determine whether it is genuinely viable before I commit real capital. The idea is straightforward: feed clean historical price data into the model, reproduce every trade exactly as defined, and then report how it would have performed over multiple market cycles. You will receive: • The full set of entry, exit and position-sizing rules in plain language. • A link to the historical price files I already maintain. What I need from you: • Well-structured code (Python with Pandas/NumPy, or another language you prefer) that replicates the rules accurately. • Clear performance statistics—total and annualised return, max drawdown, Sharpe and win-rate. • An equity-curve chart plus ...
...providing insights like: - Reasons behind stock movements (news influences, sector-specific reasons, etc.). - Specific news or events associated with past patterns. 5. Predictive targets when a pattern is detected, showing estimates for stock movement, including worst, medium, and high scenarios. 6. A clean dashboard for monitoring live positions, P&L metrics, and analytics in real-time. 7. Backtesting capabilities to validate strategies before live execution. 8. Robust error handling for invalid inputs or prompts to maintain system reliability. 9. Ability to toggle between live trading and paper trading modes seamlessly. Please focus on equity-friendly broker APIs such as Interactive Brokers, Alpaca, or similar real-time equities feed ensuring fast and reliable integr...
...(negotiable) Location Remote (India preferred) About the Role We are looking for an experienced Full-Stack Algo Trader who can independently handle the complete lifecycle of algorithmic trading — from strategy research and backtesting to live deployment and monitoring on Indian markets (NSE/BSE). This is a results-driven contract role suited for someone who thinks like a trader and codes like a developer. Key Responsibilities Strategy Research & Development •Design and develop quantitative trading strategies for NSE/BSE equities, futures, and options •Conduct thorough backtesting using historical tick/OHLC data with realistic slippage and transaction cost assumptions •Optimize strategies for risk-adjusted returns (Sharpe ratio, max drawdown, win ...
...distinct styles—scalping, swing trading, and day trading—without manual intervention. The core of the system should ingest live market data, analyse it in real time, and execute orders automatically through my broker’s API while keeping latency to a minimum. Essential capabilities • Automated trade execution with configurable order-routing and fail-safe handling • Historical and walk-forward backtesting so I can validate each strategy against past data and forward-looking scenarios • A real-time analytics dashboard that streams price action, positions, and P&L, updating every tick • A reinforcement-learning risk-management engine that adjusts position sizing, stop levels, and portfolio exposure dynamically as new data arrives ...
I want to take my current Python back-testing setup—which already supports about 250 live brokerage accounts—and scale it to handle 1,000 accounts without sacrificing speed or accuracy. At the same time, I need an XGBoost-based recommendation layer that can suggest the best mix of strategy combinations, sector allocations, holding periods, and lot sizes. The model will rely on risk appetite, investment amount, alpha vs. benchmark, Sharpe ratio, and beta (or an appropriate proxy) as core features. To keep the work structured, I have mapped out five milestones and an overall 4–5 week calendar window that includes review cycles: • Milestone 1 – Repository Baseline & Data Standardization (4 days) A clean, reproducible codebase plus a unified data schema t...
I'm looking for a skilled Python developer to assist with an algorithmic trading project on the Indian Stock Market via Angel One. Key requirements include: - Strategy Development: Create robust trading strategies. - Backtesting: Validate strategies against historical data. - Live Trading Integration: Seamlessly connect and execute trades. Ideal Skills and Experience: - Proficiency in Python. - Experience with algorithmic trading, especially in the Indian market. - Familiarity with Angel One API. - Strong background in financial markets and data analysis. Looking for someone with a proven track record in similar projects. Please share relevant experience in your bids.
I need a skilled Python developer to build and integrate a Nifty options strategy using the XTS market data API. Key Requirements: - Backtesting - Live trading - Data visualization - Use of real-time market data Ideal Skills & Experience: - Proficiency in Python - Experience with trading strategies, especially options - Familiarity with XTS market data API - Strong background in data visualization tools Please provide relevant experience in your bids.
...* Reasoning * Decision assistance * Strategy execution * Build dashboards or interfaces for monitoring trades and alerts * Implement alert systems via WhatsApp, Telegram, Email, or Mobile Notifications * Optimize prompts and AI reasoning for high-quality outputs * Ensure data security, stability, and scalable architecture * Fine-tune agent performance using historical market data and backtesting * Develop automation pipelines for repetitive trading/research tasks ⸻ Required Skills & Experience AI & Automation * Strong expertise in Claude AI / Anthropic APIs * Experience building AI agents and autonomous workflows * Advanced prompt engineering skills * Experience with: * LangChain * CrewAI * AutoGen * MCP servers/tools * Vector databases ...
...prediction generation Suitable for continuous daily operation ============================================================ 2. RE-RUN MACHINE LEARNING FROM FIRST DATA Purpose: Perform complete AI rebuilding from earliest historical dataset. Functions: Retrain all models from beginning Rebuild ensemble structure Recalculate feature importance Perform deep optimization cycle Execute full walk-forward backtesting Recalibrate confidence weighting Advantages: Maximum optimization quality Full AI recalibration Better long-term adaptation More stable ensemble rebuilding ============================================================ PREDICTION MODES 1. RUN NEXT-DAY MARKET PREDICTION Purpose: Predict next FCPO trading day direction using completed OHLC historical candles. Prediction Output: ...
...1985 – modern version) El Gordo de la Primitiva: (since Oct 31, 1993) Updates automatic at exactly 00:02 the day after each draw, using ethical scraping (BeautifulSoup/Scrapy) with proper user-agent headers to mimic human behavior. Store data in PostgreSQL (structured) or MongoDB (flexible), including all prize categories to enable ROI calculations and backtesting. 2.2. Number Prediction Generate predictions for Euromillones, La Primitiva and/or El Gordo simultaneously using explicit advanced AI models: Machine Learning ensembles (Random Forests) for frequency/statistical patterns Deep Learning RNN/LSTM for time-series analysis and sequential trends Neuro-Symbolic AI to combine logical rules with neural learning Evolutionary/Genetic Algorithms to evolve
I am looking for a technical collaborator to refin...Optimizing Python code for execution speed using libraries like NumPy, Pandas, and Asyncio for concurrent data handling. REST & WebSocket Integration: Detailed examples of robust authentication, order routing, and real-time market data streaming from global exchanges. Risk Management Frameworks: Implementation of automated stop-loss, take-profit, and rate-limit handling to ensure system stability. Backtesting Engine: Developing a module for testing strategies against historical tick data with slippage and fee considerations. Requirements: Deep understanding of Python 3.10+ and financial market structures. Experience with API integrations (Binance, Alpaca, or similar). Ability to write clean, PEP-8 compliant code and technical ...
...objective of this project is to develop a Python-based algorithmic options trading system that supports a configurable Strangle Strategy Engine, allowing the user to run either: ● Long Strangle, or ● Short Strangle. The strategy mode will be selectable from the web-based user interface. This application is designed exclusively for Live Trading and does not include paper trading or historical backtesting. The system will use a dual-broker architecture: 1. Upstox API for real-time market data, option chain, and any option Greeks made available by the API. 2. Zerodha Kite Connect API for live order execution, order monitoring, and position management. Milestone 1 – Core Framework and Dual Broker Integration Scope ● Flask project setup ● Single-user authentication ● Upstox API...
...dynamically. Main Features Required 1. Multi-Exchange Integration Integrate APIs for: Binance API CoinDCX API Delta Exchange API Features: API key connection Spot trading Futures trading Balance fetching Order placement Trade history WebSocket live price streaming 2. Strategy Engine The platform should support: Custom strategy creation Strategy editor Strategy templates Enable/disable strategy Backtesting support Paper trading mode Live trading mode Example strategies: Momentum Trading Scalping Breakout Strategy Grid Trading Arbitrage EMA Crossover RSI + MACD Strategy Meme Coin Pump Detection AI/ML-based prediction strategy (optional) 3. Auto Coin Selection Bot should: Automatically scan market Detect bullish/bearish trends Find high-volume and high-momentum coins Dete...
