What does the tool generate and which Pine Script version does it use?

It generates complete TradingView indicators and backtestable strategies written in Pine Script v5, including plots, alerts, and optional risk-management code. Generated scripts include comments and configurable input() calls so you can tune parameters directly in TradingView.

Can I request custom entry and exit logic or complex multi-condition strategies?

Yes — provide a clear description of the rules (e.g., indicator combinations, time-based filters, position sizing, trade state machine). The tool can implement multi-condition entries/exits, pyramiding rules, session filters, and time-based stops. For highly bespoke algorithms, expect iterative refinement after initial generation.

How do I validate and safely backtest scripts produced by the tool?

Always run the script in TradingView’s Strategy Tester on multiple symbols and timeframes, check trade list and performance metrics, run out-of-sample tests, and add sanity checks (max position size, daily loss limit). The tool provides comments and test suggestions, but you must perform validation — this is development support, not investment advice.

Can the tool create alerts and webhook messages for live execution?

Yes — generated scripts can include alertcondition() calls and formatted alert messages (JSON-friendly) suitable for webhooks. The tool can craft templated messages containing symbol, price, side, and custom tags for downstream execution systems; you must configure your webhook receiver and ensure safety checks on the receiver side.

Are there limitations or caveats I should know about?

Limitations include Pine Script execution constraints (no persistent external state beyond vars, limited loops), exchange-specific order emulation, and the need to validate on live data. Extremely complex ML-driven logic that requires heavy computation should be offloaded outside TradingView. The tool focuses on correct, readable Pine v5 code but cannot guarantee profitability or trading performance.

TradingView Indicator & Strategy @DaviddTech-AI TradingView script generator

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TradingView Indicator & Strategy @DaviddTech — Overview

TradingView Indicator & Strategy @DaviddTech is a specialised Pine Script (v5) development service and a reference implementation set of indicators and strategies designed to help traders and developers turn trading ideas into working TradingView indicators, visualizations, and automated strategy backtests. The design purpose is threefold: (1) translate trading concepts into clear, maintainable Pine Script code; (2) provide production-ready indicators and strategies that are performance-aware, well-commented, and configurable; and (3) educate users through examples, parameter explanations, and modular code that’s easy to extend. Example: a user has a discretionary rule "buy when price breaks above a 20-period EMA and RSI(14) < 60" — @DaviddTech would produce a Pine v5 indicator that plots the EMA, computes RSI, colors bars when the buy condition is true, exposes the parameters (EMA length, RSI length, RSI cutoff) in the settings panel, and provides a matching strategy script for backtesting and visual trade plotting. Another example: a quant developer wants an optimized intraday mean-reversion strategy with session filters and slippage modeling; @DaviddTech would deliver a strategy script with session-aware logic, realistic order fills (commission, slippage), and a clear report of performance metrics and drawdown behavior.

Primary Functions & How They Are Used

TradingView Indicator overviewCustom Indicator Development (Pine Script v5)
Example
A multi-timeframe momentum oscillator that combines MACD and RSI signals with volatility-adjusted thresholds and plots an upper/lower band with color-coded histogram bars.
Scenario
A swing trader wants a single visual tool showing both momentum direction and strength across the daily and 4-hour timeframes. The delivered indicator synchronizes higher timeframe calculations, exposes smoothing/normalization parameters, includes alert conditions (crossovers, band breaches), and supports plotting on the lower pane and overlay. The trader uses this to confirm entries aligned with higher timeframe momentum and reduce false signals.
Strategy Coding & Backtesting (with realistic order modeling)
Example
A trend-following strategy coded as a Pine v5 strategy that uses ATR-based trailing stops, position sizing by fixed fractional risk, session filters (e.g., avoid first 30 minutes of open), slippage, and commission modeling.
Scenario
An algorithmic trader needs to evaluate a hypothesis over 5 years of historical price data. @DaviddTech delivers a strategy that correctly simulates entry/exit mechanics (market vs. limit), models slippage and commissions, logs trade-level data (entry/exit timestamps, profit, R-multiples), and plots cumulative equity and drawdown curves. The trader runs parameter sweeps and receives suggestions about parameter sensitivity and robustness (e.g., whether the ATR multiplier materially changes max drawdown).
Alerts, Notifications & Automation Ready Code
Example
Indicator and strategy scripts include named alert conditions compatible with TradingView’s alert system, with templated alert messages containing variables (e.g., {{strategy.order.alert_message}}), plus example webhook payloads for integration with order-execution services (e.g., a REST JSON payload for a broker API).
Scenario
A semi-automated trader wants to receive real-time trade signals and forward them to an execution gateway. @DaviddTech adds precise alert triggers (entry, exit, stop-hit), example webhook JSON payloads and recommended alert text, and documents how to create alerts in TradingView using those conditions. The trader copies the JSON payload into an alert and wires it to a webhook receiver (third-party or custom) to execute trades or to an alert forwarding service.

Target Users & Why They Benefit

Retail Traders (discretionary & systematic)
Individual traders who want polished, reliable indicators or proof-of-concept strategies without learning all Pine Script intricacies. They benefit because @DaviddTech provides clear UI-exposed parameters, simple documentation for usage, visual cues on the chart, and optional strategy equivalents to backtest ideas. This shortens the time from idea to actionable system and reduces implementation mistakes that can occur when translating a trading rule into code.
Algorithmic Developers, Quant Traders & Prop Firms
Developers and institutional users needing robust, extensible Pine v5 code for research, live alerts, or rapid prototyping. They value modular, well-documented scripts with attention to realistic order simulation (slippage/commission), multi-timeframe logic, and reproducible backtests. @DaviddTech’s deliverables help these users move quickly from hypothesis to backtest, integrate TradingView alerts with execution stacks, and produce code that can be ported or adapted into other environments.

How to use TradingView Indicator & Strategy @DaviddTech

Visit aichatonline.org for a free trial without login, also no need for ChatGPT Plus.
Open your browser, go to aichatonline.org and start the free trial — no account or ChatGPT Plus required. This gives you immediate access to the tool interface and example templates.
Connect to TradingView and prepare your chart
Open TradingView in another tab, choose the symbol and timeframe you want to test, and ensure the Pine Script editor is accessible. Having a chart ready makes it quick to paste or test generated scripts.
Describe your objective and inputs
Provide the tool a clear brief (indicator vs strategy, indicators to combine, entry/exit logic, risk rules, plotting preferences, alert needs). Include numeric parameters or say 'optimize' for adaptive defaults.
Review, customize, and test the generated Pine Script
Inspect the generatedTradingView Indicator Guide Pinescript v5: variable names, comments, risk management, and plotting code. Paste into TradingView’s Pine editor, run strategy tester, forward-test on multiple symbols/timeframes, and adjust parameters as needed.
Optimize and iterate for production use
Use built-in optimization (parameter sweeps) and walk-forward checks. Add failsafes (order size caps, max consecutive losses) and simple documentation comments. Keep versions and change-log comments for reproducibility.