OPEN-SOURCE SCRIPT
Oracle
# Oracle
**Oracle** fits an adaptive, weighted polynomial regression to recent price action and projects the most likely path forward as **Japanese candlesticks** — so the forecast reads exactly like the chart you're already looking at, not an abstract line. On top of the forecast, Oracle draws a **Prediction Trail** of its own past forecasts, giving you an honest, visual track record of how accurate the model has actually been on the current symbol and timeframe.
It's designed around one principle: a projection is only as useful as your ability to trust it — so Oracle constantly shows you its confidence and adapts itself to fit the market better.
## 🔮 What it does
- Studies the last *N* candles and models their underlying curve (trend + curvature).
- Projects the next candles into the future and renders them as **up/down candlesticks with wicks**.
- Continuously scores the fit quality with **R²** and adjusts (or hides) the projection accordingly.
- Plots a **trail of past predictions** so you can compare "what the model expected" against "what actually happened."
## 🧠 How it works
- A **weighted quadratic regression** is fitted to recent closes, with more weight on the newest candles so the model stays responsive.
- The fitted curve is extrapolated forward to build the projected candles.
- An **R² confidence score** (0–100%) measures how cleanly price fits the model — high R² means a clean, trend-like structure; low R² means choppy, unpredictable conditions.
- Optional market filters refine the raw projection so it respects real market behavior.
## ✨ Key features
**Projection**
- Future path drawn as **projected candlesticks** (body + wick), color-coded up/down.
- Adjustable projection length, candle body width, and wick size.
**Prediction Trail (track record)**
- Plots the model's earlier forecasts, shifted forward, so each point lines up with the candle it was predicting.
- Instantly shows whether the model has been leading price accurately or diverging.
- Adjustable horizon, color, and width.
**Accuracy Enhancements (all optional)**
- **Auto-Optimize Lookback** — automatically selects the lookback window with the best fit (highest R²), so you don't have to guess.
- **Damp Far Extrapolation** — blends distant candles toward a straight line so the curve stays realistic and never "explodes."
- **Scale by Confidence** — flattens the projection toward price when fit quality is low, keeping forecasts conservative when the market is unclear.
**Context & filters**
- **ATR confidence bands** around the projection (static or volatility-adjusted).
- **Volume Delta** bias, **EMA trend** filter, **RSI** softening, and **Support/Resistance** capping — each toggled independently.
**Usability**
- R² confidence label + info readout (ATR, volume ratio, volatility factor).
- Fully customizable colors, widths, label sizes, and an analysis start-date filter.
- **Every input has a built-in tooltip** explaining what it does.
## ⚙️ Suggested workflow
1. Add Oracle to a clean chart and keep the default enhancements on.
2. Read the **R² label** first — the higher it is, the more weight the projection deserves.
3. Check the **Prediction Trail**: if it has been hugging price recently, the model is in tune with this market; if it's diverging, treat the forecast with caution.
4. Use the projected candles as a **scenario / bias**, then confirm with your own strategy and risk plan.
**Tips:** Raise the *Min Confidence Threshold* and keep *Damping* on for calmer, more realistic forecasts. Use a longer lookback for swing context and a shorter one for intraday.
## 📈 Best on
Works on **any market and timeframe** — crypto, forex, indices, metals, and stocks. Trending and structured conditions produce the highest R² and the most reliable projections; in pure chop, low confidence will (correctly) flag the projection as unreliable.
## ⚠️ Disclaimer
Oracle is a **statistical projection and study tool**. It does not predict the future, guarantee any outcome, or constitute financial advice. Markets are uncertain — always do your own analysis and manage your risk. Past model behavior (including the Prediction Trail) does not guarantee future accuracy.
オープンソーススクリプト
TradingViewの精神に則り、このスクリプトの作者はコードをオープンソースとして公開してくれました。トレーダーが内容を確認・検証できるようにという配慮です。作者に拍手を送りましょう！無料で利用できますが、コードの再公開はハウスルールに従う必要があります。
هوزان طاهر: مبرمج ومتداول خبير (6+ سنوات). متخصص في التحليل الفني (إليوت، SMC، وايكوف، التحليل الزمني) واستراتيجيات التداول (Alpha). أقدم تدريبًا وأطور روبوتات تداول ذكية. (للتواصل، انظر روابط الملف الشخصي)
免責事項
これらの情報および投稿は、TradingViewが提供または承認する金融、投資、取引、またはその他の種類の助言もしくは推奨であることを意図したものではなく、またこれらに該当するものでもありません。詳細は利用規約をご覧ください。
オープンソーススクリプト
TradingViewの精神に則り、このスクリプトの作者はコードをオープンソースとして公開してくれました。トレーダーが内容を確認・検証できるようにという配慮です。作者に拍手を送りましょう！無料で利用できますが、コードの再公開はハウスルールに従う必要があります。
هوزان طاهر: مبرمج ومتداول خبير (6+ سنوات). متخصص في التحليل الفني (إليوت، SMC، وايكوف، التحليل الزمني) واستراتيجيات التداول (Alpha). أقدم تدريبًا وأطور روبوتات تداول ذكية. (للتواصل، انظر روابط الملف الشخصي)
免責事項
これらの情報および投稿は、TradingViewが提供または承認する金融、投資、取引、またはその他の種類の助言もしくは推奨であることを意図したものではなく、またこれらに該当するものでもありません。詳細は利用規約をご覧ください。