gilded-python
onlytrading 009Here is a structured AI prompt designed to build your prediction tool. You can copy and paste this into an advanced LLM (like Claude 3.5 Sonnet or GPT-4o) to execute your three-step plan. ## AI Tool Development Prompt Role: You are a Quantitative Trading Developer and Technical Analyst. Objective: Create a Python-based predictive model that forecasts the next period's High and Low prices based on the previous High/Low data, following the three steps outlined below. [1] ------------------------------ ## Step 1: Literature Analysis (Free Ebooks & Knowledge) Research and synthesize advanced technical analysis concepts from authoritative trading literature available online (e.g., John J. Murphy’s Technical Analysis of the Financial Markets, James Dalton’s [Mind Over Markets](https://www.google.com/search?q=Mind+Over+Markets&kgmid=/hkb/Cg4KCGxhbmd1YWdlEgJlbgoMCgR0eXBlEgRCT09LCiAKC2VudGl0eV9uYW1lEhFtaW5kIG92ZXIgbWFya2V0cw%3D%3D#sv=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_77EH), or Steve Nison’s [Candlestick Charting](https://www.google.com/search?q=Candlestick+Charting&kgmid=/hkb/Cg4KCGxhbmd1YWdlEgJlbgoMCgR0eXBlEgRCT09LCiMKC2VudGl0eV9uYW1lEhRjYW5kbGVzdGljayBjaGFydGluZw%3D%3D#sv=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)). Specifically, extract: * Price Action Rules: How "Previous Day High/Low" (PDH/PDL) act as "kill zones" or liquidity pivots. * Mean Reversion: Using Z-score or Bollinger Band deviations to predict when an extreme high/low will snap back to the mean. * Sequence of Highs/Lows: Logic for identifying trend continuation (Higher Highs/Higher Lows) vs. reversals (Lower Highs/Lower Bottoms). [2, 3, 4, 5, 6] ## Step 2: Database & Model Preparation Create a Python blueprint to handle a historical OHLC (Open, High, Low, Close) database. * Technical Indicator Layer: Integrate code for EMA (20/50/200), RSI (momentum signals), and ATR (volatility for range prediction). * Predictive Logic: Implement an LSTM (Long Short-Term Memory) or Random Forest framework to process the sequence of previous lows/highs and output a predicted range for the next candle. * Risk Management: Add a module to calculate stop-loss levels based on a "7% rule" or ATR-based volatility. [7, 8, 9, 10, 11] ## Step 3: Asset Selection (Indian & Forex Markets) Present a list of the most liquid and "technically clean" assets for analysis. Use the following as a baseline of popular choices for 2026: Indian Market (NSE/BSE) Top Picks: * Blue-chips: Reliance Industries (RELIANCE), HDFC Bank (HDFCBANK), and ICICI Bank (ICICIBANK). * Momentum/Growth: Bajaj Auto and Asian Paints. * Indices: NIFTY 50 and BANK NIFTY (best for range-bound predictions). [4, 12, 13] Forex Market Top Picks: * Majors: [EUR/USD](https://www.oanda.com/us-en/trade-tap-blog/asset-classes/forex/forex-pairs-to-watch-march-2026/) (High liquidity, tightest spreads), [USD/JPY](https://www.tradetaurex.com/forex-insights/best-forex-pairs-to-trade/) (Strong trends), and [GBP/USD](https://www.bitmex.com/blog/best-forex-to-trade-2026) (Clean technical setups). * Commodity-linked: [AUD/USD](https://justmarkets.com/trading-articles/forex/what-forex-pairs-to-trade) (Metal/Gold correlation) and [USD/CAD](https://www.religareonline.com/blog/best-currency-pairs-to-trade-in-2025-for-beginners/) (Oil correlation). [14, 15, 16, 17, 18] ------------------------------ Instruction: After providing the list, ask me which script I would like to analyze first. Once I select one, generate the specific Python code to perform the analysis and prediction for that asset. Would you like to focus the tool's prediction on intraday (1-minute to 1-hour) or swing (daily/weekly) timeframes? [1] [https://www.godofprompt.ai](https://www.godofprompt.ai/blog/prompts-for-coaches-and-consultants) [2] [https://www.youtube.com](https://www.youtube.com/watch?v=4pYxq6gt3oQ) [3] [https://themarketstructuretrader.com](https://themarketstructuretrader.com/yesterdays-high-low-reversals-trading-strategy/) [4] [https://groww.in](https://groww.in/blog/algorithmic-trading-strategies) [5] [https://www.findoc.com](https://www.findoc.com/blog/5-algorithmic-trading-strategies) [6] [https://www.ig.com](https://www.ig.com/en/trading-strategies/top-7-price-action-trading-strategies-210510) [7] [https://www.nature.com](https://www.nature.com/articles/s41599-024-02807-x) [8] [https://dhan.co](https://dhan.co/blog/technical-analysis/top-20-trading-indicators/) [9] [https://www.plindia.com](https://www.plindia.com/blogs/new-year-2026-technical-stock-picks-to-watch/) [10] [https://www.bajajfinserv.in](https://www.bajajfinserv.in/7-rule-in-stocks) [11] [https://ai.plainenglish.io](https://ai.plainenglish.io/from-zero-to-ai-powered-side-income-my-journey-building-an-automated-trading-bot-with-python-aws-025017568fb8) [12] [https://www.youtube.com](https://www.youtube.com/watch?v=mjaJjoVBlDg) [13] [https://www.youtube.com](https://www.youtube.com/watch?v=1OxH8Cr8M34&t=20) [14] [https://www.oanda.com](https://www.oanda.com/us-en/trade-tap-blog/asset-classes/forex/forex-pairs-to-watch-march-2026/) [15] [https://www.tradetaurex.com](https://www.tradetaurex.com/forex-insights/best-forex-pairs-to-trade/) [16] [https://www.bitmex.com](https://www.bitmex.com/blog/best-forex-to-trade-2026) [17] [https://justmarkets.com](https://justmarkets.com/trading-articles/forex/what-forex-pairs-to-trade) [18] [https://www.religareonline.com](https://www.religareonline.com/blog/best-currency-pairs-to-trade-in-2025-for-beginners/)
Comments (0)
Sign in to leave a comment
System Requirements
System Requirements Document for Gilded-Python
Introduction
The Gilded-Python project aims to develop a Python-based predictive model that forecasts the next period's High and Low prices based on historical High/Low data. This document outlines the system requirements for implementing a live website that hosts this predictive trading tool, enabling users to interact with the model and view predictions in real-time.
System Overview
Gilded-Python is designed to provide traders with a robust tool for predicting market movements using advanced technical analysis and machine learning models. The system will consist of a frontend interface for user interaction, a backend for data processing and model execution, and a deployment infrastructure to host the live website.
Functional Requirements
- As a User, I should be able to select assets from a list of Indian and Forex markets for analysis.
- As a User, I should be able to view predictions of the next period's High and Low prices.
- As a User, I should be able to choose between intraday and swing trading timeframes.
- As a User, I should be able to view technical indicators such as EMA, RSI, and ATR.
- As a User, I should be able to interact with prediction graphs and data visualizations.
User Personas
- Trader: A user who actively trades in the stock and forex markets and uses the tool to make informed decisions.
- Analyst: A user who analyzes market trends and uses the tool to support research and reporting.
Visuals Colors and Theme
- primary: #1A237E (Deep Indigo)
- primary_light: #534BAE (Light Indigo)
- secondary: #FF7043 (Coral)
- accent: #FFEB3B (Vibrant Yellow)
- highlight: #FFC107 (Amber)
- bg: #F5F5F5 (Light Gray)
- surface: rgba(255, 255, 255, 0.9) (White with opacity)
- text: #212121 (Dark Gray)
- text_muted: #757575 (Muted Gray)
- border: rgba(33, 33, 33, 0.1) (Subtle Gray)
Signature Design Concept
The homepage will feature an interactive "Market Galaxy" concept. Users will navigate a 3D galaxy map where each star represents a different asset. Clicking a star will open a detailed view of predictions and technical indicators for that asset. The galaxy will rotate and zoom based on user interactions, creating an immersive experience. This will be implemented using @react-three/fiber and @react-three/drei for 3D rendering, and gsap for smooth animations and transitions.
Interaction Model & Motion Direction
- Landing Page: Parallax interaction model with layered depth via scroll. The Market Galaxy will translate at different speeds for a dynamic effect.
- Internal Pages: Animated interaction model with moderate scroll-triggered reveals and hover transitions for a polished user experience.
Non-Functional Requirements
- The system should be highly available and capable of handling concurrent user interactions.
- The website should load predictions and data visualizations within 2 seconds.
- The system should ensure data security and user privacy.
Tech Stack
- Frontend: React.js
- Backend: Python with FastAPI
- Database: MySQL for structured data, MongoDB for unstructured data
- AI Models: LSTM or Random Forest for predictive analytics
- Deployment: Docker for containerization, Kubernetes for orchestration, hosted on AWS
Assumptions and Constraints
- The system assumes access to real-time market data via a reliable API.
- The system is constrained by the computational resources available for model training and prediction.
Glossary
- OHLC: Open, High, Low, Close - standard data format for market prices.
- EMA: Exponential Moving Average - a type of moving average that places a greater weight and significance on the most recent data points.
- RSI: Relative Strength Index - a momentum indicator used in technical analysis.
- ATR: Average True Range - a measure of market volatility.
This document provides a comprehensive overview of the requirements for the Gilded-Python project, ensuring a clear path forward for development and deployment.
Navigate Markets with AI-Powered Predictions
Forecast next-period High and Low prices across Indian and Forex markets. Built for traders who act fast and analysts who dig deep — powered by EMA, RSI, ATR, and machine learning models.
Explore the Asset Universe
Navigate through Indian equities, forex pairs, and commodities in an interactive 3D galaxy. Each star represents a tradeable asset — click to reveal predictions and sentiment analysis.
Everything You Need to Trade Smarter
Powerful predictive analytics and technical indicators designed for Indian and Forex markets — from real-time forecasts to intelligent risk controls.
Real-Time Predictions
Forecast next-period High and Low prices using LSTM and Random Forest models trained on live OHLC data from Indian and Forex markets.
Technical Indicators
Analyze trends with EMA for smoothed momentum, RSI for overbought/oversold signals, and ATR for precise volatility measurement.
Multiple Timeframes
Switch seamlessly between intraday and swing trading views. Adapt predictions to your strategy whether you trade in minutes or days.
Risk Management Tools
Set stop-loss and take-profit levels informed by ATR-based volatility bands. Protect your portfolio with data-driven position sizing.
Navigate the Markets Like a Galaxy
Every asset is a star in your trading universe. gilded-python transforms complex market data into an intuitive galaxy map, where you can explore assets, view AI-powered predictions, and layer technical indicators — all in one immersive interface.
Powered by 3 Core Indicators
gilded-python combines EMA, RSI, and ATR to generate precise High/Low predictions. Each indicator is calibrated per asset class and timeframe.
EMA places greater weight on the most recent price data, making it more responsive to new information than a simple moving average. gilded-python uses adaptive EMA crossovers to identify trend shifts and generate entry signals for both Indian equities and Forex pairs.
View in Charts→EMA places greater weight on the most recent price data, making it more responsive to new information than a simple moving average. gilded-python uses adaptive EMA crossovers to identify trend shifts and generate entry signals for both Indian equities and Forex pairs.
View in Charts→Two Personas, One Powerful Platform
Whether you execute trades in real-time or build research reports for your team, gilded-python adapts to your workflow and delivers the insights you need.
Active Trader
Day & Swing TraderKey Challenges- Missing optimal entry and exit points due to delayed signals
- Overwhelmed by conflicting indicator readings across timeframes
- Struggling to manage risk exposure across multiple open positions
- ✓Real-time High/Low predictions pinpoint exact entry and exit levels
- ✓Unified EMA, RSI, and ATR dashboard eliminates conflicting signals
- ✓Built-in risk manager calculates position sizing and stop-losses automatically
gilded-python cut my analysis time in half. I used to spend hours cross-referencing indicators — now I get a clear prediction and act on it within minutes.
Market Analyst
Research & ReportingKey Challenges- Time-consuming manual data collection across Indian and Forex markets
- Difficulty validating predictive models against historical performance
- Lack of visual tools that communicate findings to stakeholders clearly
- ✓Comprehensive asset selector covers Indian equities and major Forex pairs instantly
- ✓Historical prediction accuracy tracking validates model performance over time
- ✓Interactive charts and exportable reports make stakeholder presentations effortless
The prediction accuracy reports alone justify the subscription. I can now present data-backed forecasts to my team with full confidence in the underlying model.
Tap a card to flip it
Real-World Trading Scenarios
See how gilded-python predictions perform against actual market outcomes using EMA, RSI, and ATR indicators across Indian and Forex markets.
Choose Your Trading Edge
From casual market watchers to institutional teams, gilded-python scales with your ambition. Start free, upgrade when you need more power.
- 3 asset predictions per day
- Basic EMA & RSI indicators
- Daily High/Low forecasts
- Community forum access
- Single watchlist (5 assets)
- Unlimited asset predictions
- EMA, RSI & ATR indicators
- Intraday + Swing timeframes
- Real-time market alerts
- Market Galaxy 3D explorer
- Custom watchlists (unlimited)
- Priority data refresh
- Everything in Pro
- REST API access (10k calls/day)
- LSTM model customization
- Team collaboration (10 seats)
- Dedicated account manager
- Custom report generation
Trusted by Traders & Analysts
See how professionals across Indian equities, Forex, and global markets are leveraging our predictive intelligence to gain an edge.
Gilded-Python transformed how I approach intraday trades on NSE. The EMA crossover predictions are incredibly accurate — I've seen my win rate improve by 30% in just two months of using the platform.
The ATR-based volatility forecasts for USD/INR pairs are spot-on. I rely on gilded-python's High/Low predictions daily for setting my stop-loss levels. It's become indispensable for my workflow.
What sets this apart is the Market Galaxy visualization. Being able to see asset correlations in 3D and click into individual RSI divergence signals has completely changed how I screen opportunities.
I switched from three different platforms to gilded-python for swing trading. The predicted High/Low ranges on weekly timeframes give me confidence to hold positions longer and capture bigger moves.
The Risk Manager module integrates perfectly with our existing portfolio analytics. Real-time ATR alerts and predicted range breaches have reduced our overnight exposure incidents by 45%.
Ready to Predict Markets?
Start exploring the Market Galaxy today. Forecast High & Low prices across Indian and Forex markets with confidence.
No comments yet. Be the first!