Trend Pulse Channel Strategy by ADXAE
By ADXAE
Performance Metrics
- Author: ADXAE
- Symbol: NASDAQ:AAPL
- Timeframe: 1 day
- Win Rate: 26.7%
- Profit Factor: 2.062
Description
Trend Pulse Channel StrategyTrend Pulse Channel Strategy is an educational trend-following strategy designed to study breakout entries above an adaptive multi-pole price channel.The strategy builds a smoothed trend filter from the selected source price and then creates an upper and lower channel using a filtered true-range calculation. The goal is to study whether price breaking above the upper channel can represent bullish trend expansion, and whether price falling back below the upper channel can be used as an exit condition.This script is a strategy for research, backtesting, and forward-testing only. It is not financial advice, does not predict future price movement, and does not guarantee profitable results. Historical strategy results are hypothetical and can differ from live trading because of slippage, commissions, liquidity, spread, execution quality, timeframe selection, and market regime changes.Core conceptThe strategy is built around a smoothed adaptive channel.The center line is a filtered version of the selected source price. The upper and lower bands are calculated by adding and subtracting a filtered true-range value multiplied by the selected range multiplier.The channel is intended to provide a dynamic trend structure:* The center filter represents the main smoothed trend path.* The upper band represents upside expansion beyond the filtered trend.* The lower band represents downside expansion below the filtered trend.* The channel fill helps visualize the active trend zone.Strategy logicThe strategy is long-only.A long entry occurs when price closes above the upper channel band during the selected date range.A long exit occurs when price closes back below the upper channel band during the selected date range.The strategy does not open short positions.The logic is intentionally simple so that users can evaluate how channel breakouts behave across different symbols, timeframes, and market conditions.Main components1. Adaptive multi-pole filterThe script uses a multi-pole smoothing structure to calculate the main trend filter.The Poles input controls how many smoothing stages are applied. A higher number of poles generally produces a smoother filter, while a lower value reacts faster.2. PeriodThe Period input controls the main smoothing length used by the filter calculation.A shorter period makes the channel more responsive but may increase noise and false breakouts. A longer period makes the channel smoother but may react more slowly to trend changes.3. Range multiplierThe Range Multiplier controls the distance between the center filter and the upper/lower bands.A larger multiplier creates a wider channel and usually fewer breakout entries. A smaller multiplier creates a tighter channel and usually more frequent signals.4. Reduced Lag modeReduced Lag mode attempts to make the source and true-range inputs more responsive by applying a lag-reduction adjustment before filtering.This can make the channel react faster, but it may also increase sensitivity and noise.5. Fast Response modeFast Response mode blends the multi-pole filter with a faster single-pole version.This is designed to make the channel respond more quickly to price movement, but it may also increase whipsaws in sideways markets.Visual elementsThe script plots:* The main trend filter.* The upper channel band.* The lower channel band.* A filled channel area.* Colored bars based on price behavior relative to the filter and bands.* A strategy equity line in the data window / chart display.The filter and channel color change according to the filter slope:* Green tones indicate a rising filter.* Red tones indicate a falling filter.* Gray indicates a flat or neutral condition.Bar coloringThe script colors bars according to price behavior relative to the filter and channel:* Strong bullish bars appear when price advances above the filter or upper band.* Weaker bullish bars appear when price remains above the filter but shows less upside pressure.* Bearish bars appear when price falls below the filter or lower band.* Neutral bars appear when conditions are mixed.These colors are visual aids only. They are not separate trade signals by themselves.Default strategy propertiesThe script uses the following default strategy properties:* Initial capital: 10,000* Position sizing: percent of equity* Default order size: 10% of equity* Commission: 0.1%* Slippage: 1 tick* Fill orders on standard OHLC: enabled* Long-only executionThese settings are included for backtesting convenience. Users should adjust commission, slippage, order size, and test range to match the market and broker conditions they are trying to model.Backtesting noteTradingView strategy results are simulations based on historical bar data. They are not live trading results.Results can change significantly depending on:* Symbol.* Timeframe.* Date range.* Liquidity.* Spread.* Commission.* Slippage.* Source price.* Number of poles.* Filter period.* Range multiplier.* Reduced Lag mode.* Fast Response mode.* Market trend strength.* Sideways or choppy conditions.Users should test the strategy across a sufficiently large sample of trades and across different market regimes before drawing conclusions.How to use itA practical workflow is:1. Select the symbol and timeframe to test.2. Use a realistic date range that includes trending and sideways market conditions.3. Review the number of trades before evaluating performance.4. Adjust commission and slippage to match the market being tested.5. Test the default settings first.6. Compare results with Reduced Lag mode on and off.7. Compare results with Fast Response mode on and off.8. Adjust the Range Multiplier to control channel sensitivity.9. Forward-test before considering any real-world use.InputsDate Range* Start Date: first date included in the backtest.* End Date: last date included in the backtest.Source* Source: price input used by the filter. The default is HLC3.Channel Settings* Poles: number of smoothing stages used in the filter.* Period: main smoothing period.* Range Multiplier: controls the distance of the upper and lower channel bands.Response Modes* Reduced Lag: applies a lag-reduction adjustment before filtering.* Fast Response: blends the multi-pole filter with a faster single-pole version.LimitationsThis strategy is long-only and does not evaluate short trades.The strategy does not use a fixed stop-loss, fixed take-profit, trailing stop, or volatility-based exit. Exits are based on price crossing back below the upper channel band.Channel breakout systems can perform poorly in sideways, choppy, or low-volatility markets.A close above the upper band does not guarantee trend continuation.A close below the upper band does not guarantee that the trend has ended.The adaptive filter is based on historical price and true range, so it is lagging by nature.Changing the period, poles, multiplier, lag mode, or fast mode can materially change backtest results.Recommended useTrend Pulse Channel Strategy is best used as an educational framework for studying adaptive channel breakouts and trend-following behavior.It should be used with realistic backtesting assumptions, conservative position sizing, and independent validation before any trading decision.