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SuperTrend Zone Rejection [STRZ] CONCEPT - This indicator identifies trend-continuation setups by combining the Super Trend with dynamic Average True Range (ATR) value zones. It highlights specific price action behaviour's—specifically wick rejections and momentum closes—that occur during pullbacks into the trend baseline. HOW IT WORKS - The script operates on three logic gates: >> Trend Filter: Uses a standard Super Trend (Factor 3, Period 10 default) to define market direction. >> Dynamic Zones: Projects a volatility-based zone (default 2.0x ATR) above or below the Super Trend line to define a valid pullback area. >> Signal Detection: Identifies specific candle geometries occurring within these zones. >> Rejection: Candles with significant wicks testing the zone support/resistance. >> Momentum: Candles that open within the zone and close in the upper/lower quartile of their range. FEATURES - >> Dynamic Channel: Visualizes the active buy/sell zone using a continuous, non-repainting box. >> Volatile Filtering: Filters out low-volatility candles (doji's/noise) based on minimum ATR size. >> Visuals: Color-coded trend visualization with distinct signal markers for qualified entries. SETTINGS - >> Super Trend: Adjustable Factor and ATR Period. >> Zone Multiplier: Controls the width of the pullback zone relative to ATR. >> Visuals: Customizable colours for zones and signals to fit light/dark themes.
Indicador Pine Script®
por siddarth_banakar3
Supertrend & CCI Strategy ScalpThis strategy is based on 2 Super Trend Indicators along with CCI . The longer factor length gives you the current trend and the deviation in the short factor length gives us the opportunity to enter in the trade . CCI indicator is used to determine the overbought and oversold levels. Setup : Long : When atrLength1 > close and atrLength2 < close and CCI < -100 we look for long trades as the longer factor length will be bullish . Short : When atrLength1 < close and atrLength2 > close and CCI > 100 we look for short trades as the longer factor length will be bearish . Please tune the settings according to your use . Trade what you see not what you feel . Please consult with your financial advisor before you deploy any real money for trading .
Estrategia Pine Script®
por AdhiSudalaissj
1
SuperTrend VolatilityThis indicator is actually composition of 3 indicator to one common one it based on super trend , OBV and volatility % range obv act as our source for the super trend to make it more sensitive you can control it as a regular super trend + the addition of volatility % range (volatility factor) so 1 is volatility range , can be from 0.1 to 5 depend on your liking. i set it here in this example of btc 4 hour chart to be 0.5 which is 1/2 of the volatility % range since it fitted better this particular asset . for stock i prefer 1 as my factor this indicator as i normally do have alert and signal inside. the aim of this indicator is to maximize trend on one hand and other to keep sensitivity high one of the problem with regular super trend that as we keep the we increase the trend to be longer it lose sensitivity . by this method that i show here i try to minimize that bad effect and make it both sensitive and more responsive. this is one of the reason i use a modified version of OBV as a source to it . for each asset that you use try to find the best fit so this model can work properly here apple with factor=1 as range on daily it better half of volatility range NIO gold 4 hour gold 1 hour
Indicador Pine Script®
por RafaelZioni
23
FTMO Rules MonitorFTMO Rules Monitor: Stay on Track with Your FTMO Challenge Goals TLDR; You can test with this template whether your strategy for one asset would pass the FTMO challenges step 1 then step 2, then with real money conditions. Passing a prop firm challenge is ... challenging. I believe a toolkit allowing to test in minutes whether a strategy would have passed a prop firm challenge in the past could be very powerful. The FTMO Rules Monitor is designed to help you stay within FTMO’s strict risk management guidelines directly on your chart. Whether you’re aiming for the $10,000 or the $200,000 account challenge, this tool provides real-time tracking of your performance against FTMO’s rules to ensure you don’t accidentally breach any limits. NOTES The connected indicator for this post doesn't matter. It's just a dummy double supertrends (see below) The strategy results for this script post does not matter as I'm posting a FTMO rules template on which you can connect any indicator/strategy. //@version=5 indicator("Supertrends", overlay=true) // Supertrend 1 Parameters var string ST1 = "Supertrend 1 Settings" st1_atrPeriod = input.int(10, "ATR Period", minval=1, maxval=50, group=ST1) st1_factor = input.float(2, "Factor", minval=0.5, maxval=10, step=0.5, group=ST1) // Supertrend 2 Parameters var string ST2 = "Supertrend 2 Settings" st2_atrPeriod = input.int(14, "ATR Period", minval=1, maxval=50, group=ST2) st2_factor = input.float(3, "Factor", minval=0.5, maxval=10, step=0.5, group=ST2) // Calculate Supertrends = ta.supertrend(st1_factor, st1_atrPeriod) = ta.supertrend(st2_factor, st2_atrPeriod) // Entry conditions longCondition = direction1 == -1 and direction2 == -1 and direction1 == 1 shortCondition = direction1 == 1 and direction2 == 1 and direction1 == -1 // Optional: Plot Supertrends plot(supertrend1, "Supertrend 1", color = direction1 == -1 ? color.green : color.red, linewidth=3) plot(supertrend2, "Supertrend 2", color = direction2 == -1 ? color.lime : color.maroon, linewidth=3) plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.triangleup, title="Long") plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.triangledown, title="Short") signal = longCondition ? 1 : shortCondition ? -1 : na plot(signal, "Signal", display = display.data_window) To connect your indicator to this FTMO rules monitor template, please update it as follow Create a signal variable to store 1 for the long/buy signal or -1 for the short/sell signal Plot it in the display.data_window panel so that it doesn't clutter your chart signal = longCondition ? 1 : shortCondition ? -1 : na plot(signal, "Signal", display = display.data_window) In the FTMO Rules Monitor template, I'm capturing this external signal with this input.source variable entry_connector = input.source(close, "Entry Connector", group="Entry Connector") longCondition = entry_connector == 1 shortCondition = entry_connector == -1 🔶 USAGE This indicator displays essential FTMO Challenge rules and tracks your progress toward meeting each one. Here’s what’s monitored: Max Daily Loss • 10k Account: $500 • 25k Account: $1,250 • 50k Account: $2,500 • 100k Account: $5,000 • 200k Account: $10,000 Max Total Loss • 10k Account: $1,000 • 25k Account: $2,500 • 50k Account: $5,000 • 100k Account: $10,000 • 200k Account: $20,000 Profit Target • 10k Account: $1,000 • 25k Account: $2,500 • 50k Account: $5,000 • 100k Account: $10,000 • 200k Account: $20,000 Minimum Trading Days: 4 consecutive days for all account sizes 🔹 Key Features 1. Real-Time Compliance Check The FTMO Rules Monitor keeps track of your daily and total losses, profit targets, and trading days. Each metric updates in real-time, giving you peace of mind that you’re within FTMO’s rules. 2. Color-Coded Visual Feedback Each rule’s status is shown clearly with a ✓ for compliance or ✗ if the limit is breached. When a rule is broken, the indicator highlights it in red, so there’s no confusion. 3. Completion Notification Once all FTMO requirements are met, the indicator closes all open positions and displays a celebratory message on your chart, letting you know you’ve successfully completed the challenge. 4. Easy-to-Read Table A table on your chart provides an overview of each rule, your target, current performance, and whether you’re meeting each goal. The table adjusts its color scheme based on your chart settings for optimal visibility. 5. Dynamic Position Sizing Integrated ATR-based position sizing helps you manage risk and avoid large drawdowns, ensuring each trade aligns with FTMO’s risk management principles. Daveatt
Estrategia Pine Script®
por Daveatt
4
D-BoT Alpha Volume SpikeHello traders, Let me explain the code and provide an example of how to trade using this indicator. The code you provided is a Pine Script indicator that combines multiple technical indicators, such as Supertrend, ADX, RSI, and MFI, to generate buy and sell signals. Here's a breakdown of the code: User Settings: The user can adjust parameters like overbought_limit, oversold_limit, volume_multiplier, volume_ma_length, volume_spike_multiple, lookback_period, and use_extremities_confirmation according to their preference. Calculate Supertrend: The Supertrend indicator is calculated using three different ATR lengths (supertrend_atr_period1, supertrend_atr_period2, supertrend_atr_period3) and corresponding factors (supertrend_factor1, supertrend_factor2, supertrend_factor3). The supertrend_value1, supertrend_value2, and supertrend_value3 represent the Supertrend values, while trend_direction1, trend_direction2, and trend_direction3 indicate the trend direction (negative for downtrend, positive for uptrend). Candle calculations: The high and low values are checked to identify bullish and bearish candles based on specific conditions. Volume Spikes: Volume spikes are detected by comparing the current volume with a median volume over a specified lookback period. If the volume exceeds a certain multiple of the median volume and the DI+ value is greater than the DI- value, an "up" signal is generated. Similarly, if the DI- value is greater than the DI+ value, a "down" signal is generated. Additional Filters (RSI and MFI): Relative Strength Index (RSI) and Money Flow Index (MFI) are used as additional filters. The RSI and MFI parameters can be adjusted according to the user's preference. The signals generated by the volume spikes are filtered based on RSI and MFI conditions. Plotting: The indicator plots shapes (triangles) to represent buy and sell signals. The Supertrend lines are plotted using different colors and transparency levels based on the distance from the current price. The "bodyMiddle" plot is used for filling the area between the Supertrend lines. Example Trade Scenario: Let's consider an example trade scenario using this indicator: When the indicator generates an "up" signal (trendBuy = true), indicating a potential bullish trend, and all the confirmation conditions (RSI, MFI, Supertrend) are met, you can consider opening a long position. Conversely, when the indicator generates a "down" signal (trendSell = true), indicating a potential bearish trend, and all the confirmation conditions are met, you can consider opening a short position. Remember, this is just an example, and it's crucial to perform thorough analysis and consider other factors before making trading decisions. It's recommended to backtest the strategy, assess risk management, and apply appropriate position sizing techniques. Please note that the code provided is a simplified version, and there might be additional factors and considerations specific to your trading strategy that are not included in this code. *******"I have also reviewed the following indicators, and the volume calculation approaches of my friends have been very helpful in creating this indicator: "Volume Spikes " © tradeforopp and "Volume Spikes & Growing Volume Signals With Alerts & Scanner" © FriendOfTheTrend."*******
Indicador Pine Script®
por Genesis-Trader
4
The Quantum Leap: Renko + ML(Note: This indicator uses the BackQuant & SuperTrend which takes a 4-5 seconds to load) This strategy uses the following indicators (please see source code) Synthetic Renko: Ignores time and focuses purely on price movement to detect clear trend reversals (Red-to-Green). ATR (Average True Range): Measures volatility to calculate the Renko brick sizes and SuperTrend sensitivity. Adaptive SuperTrend: A trend filter that uses volatility clustering to confirm if the market is currently in a "Bearish" state. RSI (Relative Strength Index): A momentum gauge ensuring the asset is "Oversold" (exhausted) before we consider a setup. Monthly Pivots: Horizontal support lines based on last month's data acting as price "floors" (S1, S2, S3). SMA (Simple Moving Average): A 100-bar average ensuring we are strictly buying below the long-term mean (deep value). BackQuant (KNN): A Machine Learning engine that compares current data to historical patterns to predict immediate momentum. This is a sophisticated, multi-stage strategy script. It combines "Old School" price action (Renko) with "New School" Machine Learning (KNN and Clustering). Here is the high-level summary of how we will break this down: Topic 1: The "Bottom Hunter" Setup. How the script uses Renko bricks and aggressive filtering (SuperTrend, SMA, RSI, Pivots) to find a potential market bottom. Topic 2: The ML Engine (BackQuant & SuperTrend). How the script uses K-Nearest Neighbors (KNN) to predict momentum and Volatility Clustering to adjust the SuperTrend. Topic 3: The "Leap" Execution. How the script synchronizes the Setup (Topic 1) with the ML Trigger (Topic 2) using a time window. Topic 1: The "Bottom Hunter" Setup This script is designed as a Mean Reversion strategy (often called "catching a falling knife" or "bottom fishing"). It is trying to find the exact moment a downtrend stops and reverses. Most strategies buy when price is above the 200 SMA or above the SuperTrend. This script does the exact opposite. The Logic: Renko Bricks: It simulates Renko bricks internally (without changing your chart view). It waits for a specific pattern: A Red Brick followed immediately by a Green Brick (a reversal). The "Bearish" Filters: To generate a "WATCH" signal, the following must be true: Price < SuperTrend: The market must officially be in a downtrend. Price < SMA: Long-term trend is down. Price < Monthly Pivot: Price is deeply discounted. RSI < Threshold: The asset is oversold (exhausted). Recommended Settings for daily signals for Stocks : Confirmation : 10. (How many bars after Renko Buy signal the AI has to identify a bullish move). Percentage : 2 (This is the Renko bar size. This represents 2% move.) SMA: 100 (Signal must be found below 100 SMA) Price must be below: PIVOT (This is the monthly Pivot levels)
Indicador Pine Script®
por dr_lobo
IU Trailing Stop Loss MethodsThe 'IU Trailing Stop Loss Methods' it's a risk management tool which allows users to apply 12 trailing stop-loss (SL) methods for risk management of their trades and gives live alerts when the trailing Stop loss has hit. Below is a detailed explanation of each input and the working of the Script. Main Inputs: - bar_time: Specifies the date from which the trade begins and entry price will be the open of the first candle. - entry_type: Choose between 'Long' or 'Short' positions. - trailing_method: Select the trailing stop-loss method. Options include ATR, Parabolic SAR, Supertrend, Point/Pip based, Percentage, EMA, Highest/Lowest, Standard Deviation, and multiple target-based methods. - exit_after_close: If checked, exits the trade only after the candle closes. Optional Inputs: ATR Settings: - atr_Length: Length for the ATR calculation. - atr_factor: ATR multiplier for SL calculation. Parabolic SAR Settings: - start, increment, maximum: Parameters for the Parabolic SAR indicator. Supertrend Settings: - supertrend_Length, supertrend_factor: Length and factor for the Supertrend indicator. Point/Pip Based: - point_base: Set trailing SL in points/pips. Percentage Based: - percentage_base: Set SL as a percentage of entry price. EMA Settings: - ema_Length: Length for EMA calculation. Standard Deviation Settings: - std_Length, std_factor: Length and factor for standard deviation calculation. Highest/Lowest Settings: - highest_lowest_Length: Length for the highest/lowest SL calculation. Target-Based Inputs: - ATR, Point, Percentage, and Standard Deviation based target SL settings with customizable lengths and multipliers. Entry Logic: - Trades initiate based on the entry_type selected and the specified bar_time. - If Long is selected, a long trade is initiated when the conditions match, and vice versa for Short. Trailing Stop-Loss (SL) Methods Explained: The strategy dynamically adjusts stop-loss based on the chosen method. Each method has its calculation logic: - ATR: Stop-loss calculated using ATR multiplied by a user-defined factor. - Parabolic SAR: Uses the Parabolic SAR indicator for trailing stop-loss. - Supertrend: Utilizes the Supertrend indicator as the stop-loss line. - Point/Pip Based: Fixed point-based stop-loss. - Percentage Based: SL set as a percentage of entry price. - EMA: SL based on the Exponential Moving Average. - Highest/Lowest: Uses the highest high or lowest low over a specified period. - Standard Deviation: SL calculated using standard deviation. Exit Conditions: - If exit_after_close is enabled, the position will only close after the candle confirms the stop-loss hit. - If exit_after_close is disabled, the strategy will close the trade immediately when the SL is breached. Visualization: The script plots the chosen trailing stop-loss method on the chart for easy visualization. Target-Based Trailing SL Logic: - When a position is opened, the strategy calculates the initial stop-loss and progressively adjusts it as the price moves favorably. - Each SL adjustment is stored in an array for accurate tracking and visualization. Alerts and Labels: - When the Entry or trailing stop loss is hit this scripts draws a label and give alert to the user that trailing stop has been hit for the trade. Note - on the historical data The Script will show nothing if the entry and the exit has happened on the same candle, because we don't know what was hit first SL or TP (basically how the candle was formed on the lower timeframe). Summary: This script offers flexible trailing stop-loss options for traders who want dynamic risk management in their strategies. By offering multiple methods like ATR, SAR, Supertrend, and EMA, it caters to various trading styles and risk preferences.
Indicador Pine Script®
por Shivam_Mandrai
8