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RichmondHillCM - Log-Price Regression Channel V1.2
RichmondHillCM - Log-Price Regression Channel V1.2
An OLS linear regression fitted to the logarithm of price, with standard-deviation bands (±1σ / ±2σ / ±3σ) projected around the fitted mean. Because the fit is done in log-space, the channel is geometric — it scales proportionally across very different price levels, which makes it well suited to long-trending instruments like SPY where a raw-price channel would distort.
⚠️ Designed for the WEEKLY (1W) timeframe. The default 252-bar lookback (~5 years of weekly data) and the band logic are tuned for weekly candles. A live banner at the top of the stats table turns red whenever the chart is not on a weekly timeframe.
Features
Log-space regression mean + ±1σ/±2σ/±3σ bands with optional fills
BUY / SELL labels on ±2σ crosses, optional STRONG BUY / SELL on ±3σ
Stats table: each band's price, % distance from current price, and Z-score
Background shading when price is stretched beyond ±2σ / ±3σ
Built-in alert conditions for every band cross and the mean
How to use
Best suited to long-term growth compounders like Google (GOOGL, SPY, NDX). Use it on the weekly (1W) timeframe and set your price axis to logarithmic scale for the bands to line up correctly.
Instrument: growth compounders / steady long-term trenders (e.g. GOOGL, MSFT, SPY)
Timeframe: weekly (1W)
Price axis: log scale (right-click the axis → "Logarithmic")
How to read it: price drifting toward ±2σ/±3σ is unusually far from its own trend; the bands act like a statistical rubber band. Use band touches as context, not standalone entries.
For research and educational purposes only. Not financial advice.
An OLS linear regression fitted to the logarithm of price, with standard-deviation bands (±1σ / ±2σ / ±3σ) projected around the fitted mean. Because the fit is done in log-space, the channel is geometric — it scales proportionally across very different price levels, which makes it well suited to long-trending instruments like SPY where a raw-price channel would distort.
⚠️ Designed for the WEEKLY (1W) timeframe. The default 252-bar lookback (~5 years of weekly data) and the band logic are tuned for weekly candles. A live banner at the top of the stats table turns red whenever the chart is not on a weekly timeframe.
Features
Log-space regression mean + ±1σ/±2σ/±3σ bands with optional fills
BUY / SELL labels on ±2σ crosses, optional STRONG BUY / SELL on ±3σ
Stats table: each band's price, % distance from current price, and Z-score
Background shading when price is stretched beyond ±2σ / ±3σ
Built-in alert conditions for every band cross and the mean
How to use
Best suited to long-term growth compounders like Google (GOOGL, SPY, NDX). Use it on the weekly (1W) timeframe and set your price axis to logarithmic scale for the bands to line up correctly.
Instrument: growth compounders / steady long-term trenders (e.g. GOOGL, MSFT, SPY)
Timeframe: weekly (1W)
Price axis: log scale (right-click the axis → "Logarithmic")
How to read it: price drifting toward ±2σ/±3σ is unusually far from its own trend; the bands act like a statistical rubber band. Use band touches as context, not standalone entries.
For research and educational purposes only. Not financial advice.
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Penafian
Maklumat dan penerbitan adalah tidak bertujuan, dan tidak membentuk, nasihat atau cadangan kewangan, pelaburan, dagangan atau jenis lain yang diberikan atau disahkan oleh TradingView. Baca lebih dalam Terma Penggunaan.
Skrip sumber terbuka
Dalam semangat TradingView sebenar, pencipta skrip ini telah menjadikannya sumber terbuka, jadi pedagang boleh menilai dan mengesahkan kefungsiannya. Terima kasih kepada penulis! Walaupuan anda boleh menggunakan secara percuma, ingat bahawa penerbitan semula kod ini tertakluk kepada Peraturan Dalaman.
Penafian
Maklumat dan penerbitan adalah tidak bertujuan, dan tidak membentuk, nasihat atau cadangan kewangan, pelaburan, dagangan atau jenis lain yang diberikan atau disahkan oleh TradingView. Baca lebih dalam Terma Penggunaan.