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Bands and Channels

SmartScale Envelope DCA This is a Dollar-Cost Averaging (DCA) long strategy that buys when price dips below a moving average envelope and adds to the position in a stepwise, risk-controlled way. It uses up to 8 buy-ins, applies a cooldown between entries, and exits based on either a take profit from average entry price or a stop loss. Backtest range limits trades to the last 365 days for backtest control. All input settings can and should be adjusted to the chart, as volatility in price action varies. Simply go into the inputs settings, and start from the top and move down to get better backtest results. Moving from the top down has been proven to give the best results. Then, move to properties and set your order size, pyramiding, and so on. It may be necessary to then fine tune your adjustments a second time to dial it in. Works well on 1 hour time frames and in volatility. Happy Trading!
Pine Script® strategy
by Simple_Investment_Strategies
DI+/- Cross Strategy with ATR SL and 2% TPDI+/- Cross Strategy with ATR Stop Loss and 2% Take Profit 📝 Script Description for Publishing: This strategy is based on the directional movement of the market using the Average Directional Index (ADX) components — DI+ and DI- — to generate entry signals, with clearly defined risk and reward targets using ATR-based Stop Loss and Fixed Percentage Take Profit. 🔍 How it works: Buy Signal: When DI+ crosses above 40, signaling strong bullish momentum. Sell Signal: When DI- crosses above 40, indicating strong bearish momentum. Stop Loss: Dynamically calculated using ATR × 1.5, to account for market volatility. Take Profit: Fixed at 2% above/below the entry price, for consistent reward targeting. 🧠 Why it’s useful: Combines momentum breakout logic with volatility-based risk management. Works well on trending assets, especially when combined with higher timeframe filters. Clean BUY and SELL visual labels make it easy to interpret and backtest. ✅ Tips for Use: Use on assets with clear trends (e.g., major forex pairs, trending stocks, crypto). Best on 30m – 4H timeframes, but can be customized. Consider combining with other filters (e.g., EMA trend direction or Bollinger Bands) for even better accuracy.
Pine Script® strategy
by electricalPers55976
JBGBt - Bollinger Bands Strategy v4This is an enhanced Bollinger Band Strategy that works on the 1 day or 12 hour timeframe on the Blue Chip Cryptos like BTC , ETH, and SOL both Spot and Perpetual I have added RSI filters, and ADX and ATR to dynamically trim and augment your wins and losses. This even works with starting on a small account of $250 which delivered 2500% P&L with only 11.3 percent drawdown Im sure there is lot of room for tweaking. Also, I wanted to give a nod, and thank you for Michael of Signum /Dapp R for the inspiration to develop with AI, and turn boring indicators into Strategies, and Stategy into $$
Pine Script® strategy
by shangotango1969
RSI EMA Candle Size Strategy//@version=5 strategy("RSI EMA Candle Size Strategy", overlay=true) // Indikator teknikal emaFast = ta.ema(close, 10) emaSlow = ta.ema(close, 50) rsiValue = ta.rsi(close, 14) candleSize = math.abs(close - open) // Kondisi Buy buyCondition = rsiValue < 51 and emaFast < emaSlow and candleSize < 0.00025 if buyCondition strategy.entry("BUY", strategy.long) alert("BUY", alert.freq_once_per_bar_close) // Kondisi Sell sellCondition = rsiValue > 49 and emaFast > emaSlow and candleSize < 0.00025 if sellCondition strategy.entry("SELL", strategy.short) alert("SELL", alert.freq_once_per_bar_close) // Plot plot(emaFast, title="EMA 10", color=color.orange) plot(emaSlow, title="EMA 50", color=color.blue)
Pine Script® strategy
by froztyboyz09121988
Bollinger + EMA Strategy with Statssharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")
Pine Script® strategy
by Trader_dake
Bollinger + EMA Strategy with Statsif show_stats and bar_index == ta.highest(bar_index, 50) winrate = strategy.closedtrades > 0 ? (strategy.wintrades / strategy.closedtrades) * 100 : na label_text = "Net Profit: " + str.tostring(strategy.netprofit, "#.##") + " " + "Max DD: " + str.tostring(max_dd * 100, "#.##") + "% " + "Win Rate: " + str.tostring(winrate, "#.##") + "% " + "Trades: " + str.tostring(strategy.closedtrades) label.new(x=bar_index, y=high, text=label_text, style=label.style_label_right, color=color.gray, textcolor=color.white)
Pine Script® strategy
by Trader_dake
Bollinger + EMA Strategy with StatsThis strategy is a mean-reversion trading model that combines Bollinger Band deviation entries with EMA-based exits. It enters a long position when the price drops significantly below the lower Bollinger Band by a user-defined multiple of standard deviation (x), and a short position when the price exceeds the upper band by the same logic. To manage risk, it uses a wider Bollinger Band threshold (y standard deviations) as a stop loss, while take profit occurs when the price reverts to the n-period EMA, indicating mean reversion. The strategy maintains only one active position at a time—either long or short—and allocates a fixed percentage of capital per trade. Performance metrics such as equity curve, drawdown, win rate, and total trades are tracked and displayed for backtesting evaluation.
Pine Script® strategy
by Trader_dake
Scalping Strategy with Fixed CooldownThis is a sample scalping strategy is designed for short-term trading on lower timeframes. Entry Signals: Utilizes Hull Moving Average (HullMA) crossovers to generate buy and sell signals. Filters: -Bollinger Bands and RSI to avoid overbought or oversold conditions. -VWAP to confirm trend direction, ensuring trades align with momentum. Cooldown Mechanism: Implements a bar-based cooldown period to prevent immediate re-entries after trade closures, reducing the risk of overtrading.
Pine Script® strategy
by Raisontgh
Gaussian Channel StrategyGaussian Channel Strategy — User Guide 1. Concept This strategy builds trades around the Gaussian Channel. Based on Pine Script v4 indicator originally published by Donovan Wall. With rework to v6 Pine Script and adding entry and exit functions. The channel consists of three dynamic lines: Line Formula Purpose Filter (middle) N-pole Gaussian filter applied to price Market "equilibrium" High Band Filter + (Filtered TR × mult) Dynamic upper envelope Low Band Filter − (Filtered TR × mult) Dynamic lower envelope A position is opened when price crosses a user-selected line in a user-selected direction. When the smoothed True Range (Filtered TR) becomes negative, the raw bands can flip (High drops below Low). The strategy automatically reorders them so the upper band is always above the lower band. Visual colors still flip, but signals stay correct. 2. Entry Logic Choose a signal line for longs and/or shorts: Filter, Upper band, or Lower band. Choose a cross direction (Cross Up or Cross Down). A signal remains valid for Lookback bars after the actual cross, as long as price is still on the required side of the line. When the opposite signal appears, the current position is closed or reversed depending on Reverse on opposite. 3. Parameters Group Setting Meaning Source & Filter Source Price series used (close, hlc3, etc.) Poles (N) Number of Gaussian filter poles (1-9). More poles ⇒ smoother but laggier Sampling Period Main period length of the channel Filtered TR Multiplier Width of the bands in fractions of smoothed True Range Reduced Lag Mode Adds a lag-compensation term (faster but noisier) Fast Response Mode Blends 1-pole & N-pole outputs for quicker turns Signals Long → signal line / Short → signal line Which line generates signals Long when price / Short when price Direction of the cross Lookback bars for late entry Bars after the cross that still allow an entry Trading Enable LONG/SHORT-side trades Turn each side on/off On opposite signal: reverse True: reverse -- False: flat Misc Start trading date Ignores signals before this timestamp (back-test focus) 4. Quick Start Add the strategy to a chart. Default: hlc3, N = 4, Period = 144. Select your signal lines & directions. Example: trend trading – Long: Filter + Cross Up, Short: Filter + Cross Down. Disable either side if you want long-only or short-only. Tune Lookback (e.g. 3) to catch gaps and strong impulses. Run Strategy Tester, optimise period / multiplier / stops (add strategy.exit blocks if needed). When satisfied, connect alerts via TradingView webhooks or use the builtin broker panel. 5. Notes Commission & slippage are not preset – adjust them in Properties → Commission & Slippage. Works on any market and timeframe, but you should retune Sampling Period and Multiplier for each symbol. No stop-loss / take-profit is included by default – feel free to add with strategy.exit. Start trading date lets you back-test only recent history (e.g. last two years). 6. Disclaimer This script is for educational purposes only and does not constitute investment advice. Use entirely at your own risk. Back-test thoroughly and apply sound risk management before trading real capital.
Pine Script® strategy
by RezzoRedPriest
Ultimate SuperTrend ProThe ultimate script works correctly while maintaining all the original features: Customizable Inputs: Separate input groups for SuperTrend, visualization, profit booking, and risk management Adjustable ATR length and multiplier Cloud opacity control ATR-Based Cloud Visualization: Bullish trend shows green cloud between upper band and upper band - 0.5 ATR Bearish trend shows red cloud between lower band and lower band + 0.5 ATR Adjustable opacity for better chart visibility Profit Booking System: Calculates profit booking levels based on ATR multiplier Visual markers (circles) show where to take profits Arrows appear when price hits profit booking level Fully customizable color and ratio Enhanced Risk Management: ATR-based stop loss system Visual indication of stop levels in the info table Option to disable stop loss if desired Improved Visual Feedback: Cleaner signal markers Comprehensive info table showing current status Distance to profit booking level displayed Strategy Integration: Automatically exits positions at profit booking levels Stop loss protection Clear alert conditions
Pine Script® strategy
by vivekm8955
1
Support & Resistance Breakout StrategyThis Support & Resistance Breakout Strategy automatically identifies key price levels using pivot highs and lows over a configurable lookback period. It plots support (green) and resistance (red) lines directly on the chart and removes them dynamically when the price breaks through. The script also provides optional labeling for easier visual reference. It’s designed to help traders spot potential breakout opportunities and key decision zones.
Pine Script® strategy
by dodgeyouself
Supertrend Hombrok BotSupertrend Hombrok Bot – Automated Trading Strategy for Dynamic Market Conditions This trading strategy script has been developed to operate automatically based on detailed market conditions. It combines the popular Supertrend indicator, RSI (Relative Strength Index), Volume, and ATR (Average True Range) to determine the best entry and exit points while maintaining proper risk management. Key Features: Supertrend as the Base: Uses the Supertrend indicator to identify the market's trend direction, generating buy signals when the market is in an uptrend and sell signals when in a downtrend. RSI Filter: The RSI is used to determine overbought and oversold conditions, helping to avoid entries in extreme market conditions. Entries are avoided when RSI > 70 (overbought) and RSI < 30 (oversold), reducing the risk of false movements. Volume Filter: The strategy checks if the trading volume is above the average multiplied by a user-defined factor. This ensures that only significant movements, with higher liquidity, are considered. Candle Body Size: The strategy filters only candles with a body large enough relative to the ATR (Average True Range), ensuring that the price movements on the chart have sufficient strength. Risk Management: The bot is configured to operate with an adjustable Risk/Reward Ratio (R:R). This means that for each trade, both Take Profit (TP) and Stop Loss (SL) are adjusted based on the market's volatility as measured by the ATR. Automatic Entries and Exits: The script automatically executes entries based on the specified conditions and exits with predefined Stop Loss and Take Profit levels, ensuring risk is controlled for each trade. How It Works: Buy Condition: Triggered when the market is in an uptrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is below the overbought level. Sell Condition: Triggered when the market is in a downtrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is above the oversold level. Alerts: Buy and Sell Alerts are configured with detailed information, including Stop Loss and Take Profit values, allowing the user to receive notifications when trading conditions are met. Capital Management: The capital per trade can be adjusted based on account size and risk profile. Important Note: Always test before trading with real capital: While the strategy has been designed based on solid technical analysis methods, always perform tests in real-time market conditions with demo accounts before applying the bot in live trading. Disclaimer: This script is a tool to assist in the trading process and does not guarantee profit. Past performance is not indicative of future results, and the trader is always responsible for their investment decisions.
Pine Script® strategy
by sidimarvinicius
Vinicius Setup ATR Description: This script is a strategy based on the Supertrend indicator combined with volume analysis, candle strength, and RSI. Its goal is to identify potential entry points for buy and sell trades based on technical criteria, without promising profitability or guaranteed results. Script Components: Supertrend: Used as the main trend compass. When the trend is positive (direction = 1), buy signals are considered; when negative (direction = -1), sell signals are considered. Volume: Entries are only validated if the volume is above the average of the last 20 candles, adjusted with a 1.2 multiplier. Candle Body: The candle body must be larger than a certain percentage of the ATR, ensuring sufficient strength and volatility. RSI: Used as a filter to avoid trades in extreme overbought or oversold zones. Support and Resistance: Identified based on simple pivots (5 periods before and after). Customizable Parameters: ATR Length and Multiplier: Controls the sensitivity of the Supertrend. RSI Period: Adjusts the relative strength filter. Minimum Volume and Candle Body: Settings to validate entry signals. Entry Conditions: Buy: Positive trend + strong candle + high volume + RSI below 70. Sell: Negative trend + strong candle + high volume + RSI above 30. Exit Conditions: The trade is closed upon the appearance of an opposite signal. Notes: This is a technical system with no profit guarantees. It is recommended to test with realistic capital values and parameters suited to your risk management. The script is not optimized for specific profitability, but rather to support study and the construction of setups with objective criteria.
Pine Script® strategy
by sidimarvinicius
TASC 2025.05 Trading The Channel█ OVERVIEW This script implements channel-based trading strategies based on the concepts explained by Perry J. Kaufman in the article "A Test Of Three Approaches: Trading The Channel" from the May 2025 edition of TASC's Traders' Tips . The script explores three distinct trading methods for equities and futures using information from a linear regression channel. Each rule set corresponds to different market behaviors, offering flexibility for trend-following, breakout, and mean-reversion trading styles. █ CONCEPTS Linear regression Linear regression is a model that estimates the relationship between a dependent variable and one or more independent variables by fitting a straight line to the observed data. In the context of financial time series, traders often use linear regression to estimate trends in price movements over time. The slope of the linear regression line indicates the strength and direction of the price trend. For example, a larger positive slope indicates a stronger upward trend, and a larger negative slope indicates the opposite. Traders can look for shifts in the direction of a linear regression slope to identify potential trend trading signals, and they can analyze the magnitude of the slope to support trading decisions. One caveat to linear regression is that most financial time series data does not follow a straight line, meaning a regression line cannot perfectly describe the relationships between values. Prices typically fluctuate around a regression line to some degree. As such, analysts often project ranges above and below regression lines, creating channels to model the expected extent of the data's variability. This strategy constructs a channel based on the method used in Kaufman's article. It measures the maximum distances from points on the linear regression line to historical price values, then adds those distances and the current slope to the regression points. Depending on the trading style, traders might look for prices to move outside an established channel for breakout signals, or they might look for price action to reach extremes within the channel for potential mean reversion opportunities. █ STRATEGY CALCULATIONS Primary trade rules This strategy implements three distinct sets of rules for trend, breakout, and mean-reversion trades based on the methods Kaufman describes in his article: Trade the trend (Rule 1) : Open new positions when the sign of the slope changes, indicating a potential trend reversal. Close short trades and enter a long trade when the slope changes from negative to positive, and do the opposite when the slope changes from positive to negative. Trade channel breakouts (Rule 2) : Open new positions when prices cross outside the linear regression channel for the current sample. Close short trades and enter a long trade when the price moves above the channel, and do the opposite when the price moves below the channel. Trade within the channel (Rule 3) : Open new positions based on price values within the channel's range. Close short trades and enter a long trade when the price is near the channel's low, within a specified percentage of the channel's range, and do the opposite when the price is near the channel's high. With this rule, users can also filter the trades based on the channel's slope. When the filter is active, long positions are allowed only when the slope is positive, and short positions are allowed only when it is negative. Position sizing Kaufman's strategy uses specific trade sizes for equities and futures markets: For an equities symbol, the number of shares traded is $10,000 divided by the current price. For a futures symbol, the number of contracts traded is based on a volatility-adjusted formula that divides $25,000 by the product of the 20-bar average true range and the instrument's point value. By default, this script automatically uses these sizes for its trade simulation on equities and futures symbols and does not simulate trading on other symbols. However, users can control position sizes from the "Settings/Properties" tab and enable trade simulation on other symbol types by selecting the "Manual" option in the script's "Position sizing" input. Stop-loss This strategy includes the option to place an accompanying stop-loss order for each trade, which users can enable from the "SL %" input in the "Settings/Inputs" tab. When enabled, the strategy places a stop-loss order at a specified percentage distance from the closing price where the entry order occurs, allowing users to compare how the strategy performs with added loss protection. █ USAGE This strategy adapts its display logic for the three trading approaches based on the rule selected in the "Trade rule" input: For all rules, the script plots the linear regression slope in a separate pane. The plot is color-coded to indicate whether the current slope is positive or negative. When the selected rule is "Trade the trend", the script plots triangles in the separate pane to indicate when the slope's direction changes from positive to negative or vice versa. Additionally, it plots a color-coded SMA on the main chart pane, allowing visual comparison of the slope to directional changes in a moving average. When the rule is "Trade channel breakouts" or "Trade within the channel", the script draws the current period's linear regression channel on the main chart pane, and it plots bands representing the history of the channel values from the specified start time onward. When the rule is "Trade within the channel", the script plots overbought and oversold zones between the bands based on a user-specified percentage of the channel range to indicate the value ranges where new trades are allowed. Users can customize the strategy's calculations with the following additional inputs in the "Settings/Inputs" tab: Start date : Sets the date and time when the strategy begins simulating trades. The script marks the specified point on the chart with a gray vertical line. The plots for rules 2 and 3 display the bands and trading zones from this point onward. Period : Specifies the number of bars in the linear regression channel calculation. The default is 40. Linreg source : Specifies the source series from which to calculate the linear regression values. The default is "close". Range source : Specifies whether the script uses the distances from the linear regression line to closing prices or high and low prices to determine the channel's upper and lower ranges for rules 2 and 3. The default is "close". Zone % : The percentage of the channel's overall range to use for trading zones with rule 3. The default is 20, meaning the width of the upper and lower zones is 20% of the range. SL% : If the checkbox is selected, the strategy adds a stop-loss to each trade at the specified percentage distance away from the closing price where the entry order occurs. The checkbox is deselected by default, and the default percentage value is 5. Position sizing : Determines whether the strategy uses Kaufman's predefined trade sizes ("Auto") or allows user-defined sizes from the "Settings/Properties" tab ("Manual"). The default is "Auto". Long trades only : If selected, the strategy does not allow short positions. It is deselected by default. Trend filter : If selected, the strategy filters positions for rule 3 based on the linear regression slope, allowing long positions only when the slope is positive and short positions only when the slope is negative. It is deselected by default. NOTE: Because of this strategy's trading rules, the simulated results for a specific symbol or channel configuration might have significantly fewer than 100 trades. For meaningful results, we recommend adjusting the start date and other parameters to achieve a reasonable number of closed trades for analysis. Additionally, this strategy does not specify commission and slippage amounts by default, because these values can vary across market types. Therefore, we recommend setting realistic values for these properties in the "Cost simulation" section of the "Settings/Properties" tab.
Pine Script® strategy
by PineCodersTASC
1