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Richkids- Trading AI Helper-AI-driven trading insights and strategies.

AI-powered trading insights for smarter decisions.

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[TradingView PineScript AI helper] 트레이딩뷰 파인스크립트 코드 작성을 완벽하게 도와주는 AI봇

전략을 만들기 위해 도움이 필요해

인디게이터 코드 제작을 원해

프롬프트 예시를 알려줘

Webhook 자동매매를 만들고 싶어

텔레그램 연결하는 방법 가이드보기

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Richkids- Trading AI Helper — Purpose & Capabilities

Richkids- Trading AI Helper is a focused assistant that converts trading ideas into production-ready TradingView Pine Script (version 5) strategies and indicators, plus practical deployment and integration guidance. Its design purpose is threefold: (1) generate clean, backtest-ready Pine v5 code with configurable inputs and a required copyright header (e.g. // © Richkidskorean - AI codehelper), (2) implement battle-tested execution helpers (exchange-aware position sizing, TP/SL, TP splits, break-even logic, partial exits), and (3) provide operational runbooks for running strategy-to-execution pipelines (server cloud-init, .env templates, process managers, webhook/discord integration). The assistant produces ready-to-paste Pine v5 scripts with useful inputs such as start/end time, leverage, default_qty_type, TP_percent, SL_percent and TP_splits, following the structure shown in the TradingView sample templates. Example scenario (coding): a user asks "Build an EMA crossover strategy that opens a percent-of-equity position, uses 2 TP splits, and moves stop to break-even after TP1." Richkids returns a Pine v5 script that includes the input block (start_time, end_timeRichkids Trading AI Helper, leverage, percentageSize, TP_percent, SL_percent, TP_splits), a real_qty() sizing helper, strategy.entry and strategy.exit calls implementing partial TPs and break-even behavior, and the copyright header. Example scenario (operations): for live execution, the assistant provides a cloud-init / systemd / .env example to deploy a small webhook receiver and process manager (PM2), plus sample environment placeholders for exchange API keys and a webhook URL — enabling a workflow from TradingView alerts to a hosted execution endpoint. Example scenario (risk/exchange-handling): the helper includes robust position-sizing and rounding (real_qty) that accounts for different exchange prefixes and base currencies, enforces precision and contract_size adjustments, and computes leverage-aware quantities so generated strategies behave plausibly on Binance/OKX/other markets. This prevents unrealistic quantities and aligns backtests with expected exchange behavior.

Primary Functions & How They Are Applied

  • Pine Script v5 Strategy & Indicator Generation

    Example

    Given a trading rule set (signals, TP/SL preferences, inputs), the assistant returns a complete Pine Script v5 file: copyright header, configurable inputs (time window, leverage, percentageSize, TP_percent, SL_percent, TP_splits), signal computations (indicator crossovers, RSI, MACD, etc.), strategy.entry calls and strategy.exit for partial TPs and stops. The output follows the template and input pattern used in the TradingView sample resources.

    Scenario

    A trader with no Pine knowledge requests an RSI+EMA strategy. The helper produces a ready-to-run script that can be pasted into TradingView, tuned via inputs, backtested, and immediately evaluated. The script will include settings like process_orders_on_close and default_qty_type to make tests reproducible.

  • Advanced Risk Management, Position Sizing & TP/SL Logic

    Example

    The assistant supplies functions like real_qty(...) that calculate order quantity from percent_of_equity / cash / fixed sizing, apply leverage, and round to exchange-specific precision and contract_size. It also implements multi-tier TP (TP_splits), per-tier exits, dynamic stop-loss updates, and break-even triggers (move SL to entry once TP1 is reached). The TP/SL state machine and exit loops are implemented using strategy.exit and strategy.close patterns.

    Scenario

    A user needs to make sure their strategy respects Binance and OKX lot/precision rules for BTC/ETH/SHIB while using 3 TP splits and a break-even feature. The helper returns a script that computes a safe integer/precision quantity and sets up partial exits and break-even stop logic so paper/live execution is aligned with exchange constraints.

  • Deployment, Webhook & API Integration Guidance

    Example

    For production execution the assistant provides operational artifacts: cloud-init YAML to bootstrap an Ubuntu instance, systemd unit files for services (pm2-root, pocketbase, ntpd-sync), a sample .env template to store exchange keys and webhook URLs, and PM2/Caddy/pocketbase install steps so a webhook listener and small DB can be deployed. The .env shows placeholders for BINANCE/OKX/BYBIT keys and webhook/discord endpoints.

    Scenario

    A trader wants live execution: the helper gives a cloud-config to create a Vultr/Ubuntu server that installs PM2, a minimal webhook receiver, and a process manager. It also explains how to format TradingView alert messages (JSON payload), where to store API keys (.env), and how to keep services running with PM2 and systemd. This turns TradingView alerts into actionable webhook requests for the execution engine.

Target Users Who Benefit Most

  • Retail Traders & Aspiring Algo Traders

    Individuals who trade part-time or are learning algorithmic trading. They benefit because Richkids removes the steep Pine-script learning curve by providing ready-made, customizable Pine v5 scripts with input-driven parameters, clear TP/SL /break-even controls, and example templates to iterate quickly. The TradingView sample template demonstrates how easily non-coders can run backtests and tune settings like percentageSize, TP_percent, SL_percent and TP_splits.

  • Quantitative Traders, Algo Developers & Ops-Savvy Deployers

    Developers and traders who require production-grade controls: precise exchange-aware sizing, partial exits and break-even rules, and integration to execution endpoints. They gain from the assistant's advanced helpers (e.g., real_qty() that handles exchange prefixes, basecurrency precision, contract sizes) and from operational templates (cloud-init, service units, .env) to run webhook receivers and small control services. This makes it suitable for teams/pro traders who want to bridge TradingView signals into automated execution while minimizing mismatch between backtest assumptions and exchange realities.

How to Use Richkids- Trading AI Helper

  • 1.Richkids Trading AI Helper Visit the website

    Go to aichatonline.org for a free trial without needing to log in or subscribe to ChatGPT Plus. You can access the tool instantly to explore its capabilities.

  • 2. Input your data

    Once on the platform, enter your trading-related data, such as historical trading performance, assets, and market trends that you want the AI to analyze.

  • 3. Choose your trading goals

    Select the type of trading assistance you need, such as risk assessment, profit forecasting, or strategy optimization. This helps tailor the AI's recommendations.

  • 4. Review AI-generated insights

    The AI will process your input and provide detailed insights, predictions, and suggestions. These can range from market behavior predictions to tailored investment strategies.

  • 5. Apply insights and monitor progress

    Use the AI's insights to inform your trading decisions. Continuously monitor your trades and adjust as needed based on new data or updated AI analysis.

  • Market Analysis
  • Risk Assessment
  • Investment Strategy
  • Profit Forecasting
  • Trading Optimization

Frequently Asked Questions about Richkids-Richkids Trading AI guide Trading AI Helper

  • What is Richkids- Trading AI Helper?

    Richkids- Trading AI Helper is an AI-powered tool designed to assist traders by providing data-driven insights, predictions, and personalized trading strategies. It processes historical and current market data to offer advice on improving trading decisions.

  • Do I need to pay for using Richkids- Trading AI Helper?

    No, you can access a free trial of the tool without the need for a login or subscription to services like ChatGPT Plus. The tool allows for an initial exploration with no commitment.

  • What kind of data does Richkids- Trading AI Helper require?

    The AI works best when provided with detailed data, such as past trades, asset details, current market trends, and your trading preferences. This information helps generate more accurate insights.

  • How accurate are the predictions made by Richkids- Trading AI Helper?

    While the AI is highly accurate based on historical data and market patterns, predictions are not foolproof. Market conditions can change unexpectedly, so it’s recommended to use the AI as a supplementary tool rather than a sole decision-maker.

  • Can Richkids- Trading AI Helper help with both beginner and advanced trading strategies?

    Yes, the tool is versatile and can cater to both beginner traders and seasoned investors. It provides simplified insights for newcomers while offering complex strategies and advanced analytics for more experienced users.

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