Power Of 3 ICT 01 [TradingFinder] AMD ICT & SMC Accumulations🔵 Introduction
The ICT Power of 3 (PO3) strategy, developed by Michael J. Huddleston, known as the Inner Circle Trader, is a structured approach to analyzing daily market activity. This strategy divides the trading day into three distinct phases: Accumulation, Manipulation, and Distribution.
Each phase represents a unique market behavior influenced by institutional traders, offering a clear framework for retail traders to align their strategies with market movements.
Accumulation (19:00 - 01:00 EST) takes place during low-volatility hours, as institutional traders accumulate orders. Manipulation (01:00 - 07:00 EST) involves false breakouts and liquidity traps designed to mislead retail traders. Finally, Distribution (07:00 - 13:00 EST) represents the active phase where significant market movements occur as institutions distribute their positions in line with the broader trend.
This indicator is built upon the Power of 3 principles to provide traders with a practical and visual tool for identifying these key phases. By using clear color coding and precise time zones, the indicator highlights critical price levels, such as highs and lows, helping traders to better understand market dynamics and make more informed trading decisions.
Incorporating the ICT AMD setup into daily analysis enables traders to anticipate market behavior, spot high-probability trade setups, and gain deeper insights into institutional trading strategies. With its focus on time-based price action, this indicator simplifies complex market structures, offering an effective tool for traders of all levels.
🔵 How to Use
The ICT Power of 3 (PO3) indicator is designed to help traders analyze daily market movements by visually identifying the three key phases: Accumulation, Manipulation, and Distribution.
Here's how traders can effectively use the indicator :
🟣 Accumulation Phase (19:00 - 01:00 EST)
Purpose : Identify the range-bound activity where institutional players accumulate orders.
Trading Insight : Avoid placing trades during this phase, as price movements are typically limited. Instead, use this time to prepare for the potential direction of the market in the next phases.
🟣 Manipulation Phase (01:00 - 07:00 EST)
Purpose : Spot false breakouts and liquidity traps that mislead retail traders.
Trading Insight : Observe the market for price spikes beyond key support or resistance levels. These moves often reverse quickly, offering high-probability entry points in the opposite direction of the initial breakout.
🟣 Distribution Phase (07:00 - 13:00 EST)
Purpose : Detect the main price movement of the day, driven by institutional distribution.
Trading Insight : Enter trades in the direction of the trend established during this phase. Look for confirmations such as breakouts or strong directional moves that align with broader market sentiment
🔵 Settings
Show or Hide Phases :mDecide whether to display Accumulation, Manipulation, or Distribution.
Adjust the session times for each phase :
Accumulation: 1900-0100 EST
Manipulation: 0100-0700 EST
Distribution: 0700-1300 EST
Modify Visualization : Customize how the indicator looks by changing settings like colors and transparency.
🔵 Conclusion
The ICT Power of 3 (PO3) indicator is a powerful tool for traders seeking to understand and leverage market structure based on time and price dynamics. By visually highlighting the three key phases—Accumulation, Manipulation, and Distribution—this indicator simplifies the complex movements of institutional trading strategies.
With its customizable settings and clear representation of market behavior, the indicator is suitable for traders at all levels, helping them anticipate market trends and make more informed decisions.
Whether you're identifying entry points in the Accumulation phase, navigating false moves during Manipulation, or capitalizing on trends in the Distribution phase, this tool provides valuable insights to enhance your trading performance.
By integrating this indicator into your analysis, you can better align your strategies with institutional movements and improve your overall trading outcomes.
Indicadores e estratégias
OA S/R PowerPurpose of the Script
This script identifies the strength of support and resistance levels based on key factors like volume, bounce frequency, and retests. Each level is assigned a score (0-100) and visualized with color-coded labels on the chart.
Key Features
Dynamic Strength Calculation:
Volume Strength: Measures the strength based on the volume of candles touching the level.
Bounce Strength: Evaluates how often the price bounces back from the level.
Retest Strength: Scores the consistency of retests over time.
Color-Coded Visualization:
Yellow: Strong levels (Strength ≥ 70).
Orange: Medium levels (Strength between 50-70).
Red: Resistance levels (Price is below the level).
Green: Support levels (Price is above the level).
Fully Customizable Settings:
Adjust the weight for volume, bounce, and retest contributions.
Configure timeframes, percentage range, and number of levels to analyze.
How It Works
Identify Peaks and Valleys: The script calculates local highs and lows using a configurable width setting to determine potential support and resistance levels.
Filter Key Levels: Nearby levels are merged based on a user-defined percentage range, ensuring clean and relevant levels.
Strength Scoring: Levels are scored dynamically based on:
The number of touches.
The volume of touches.
The frequency of bounces and retests.
Visual Feedback: Each level is plotted on the chart with a color-coded label, indicating its importance and price relationship.
Best Use Cases
Quickly identify strong support/resistance zones for breakout or reversal trades.
Use the dynamic scoring system to prioritize key levels for your strategy.
Customize weights to align with your trading style, such as emphasizing volume or retests.
Sharpe Ratio Indicator (180)Meant to be used on the 1D chart and on BTC.
The Sharpe Ratio Indicator (180 days) is a tool for evaluating risk-adjusted returns, designed for investors who want to assess whether BTC is overvalued, undervalued, or in a neutral state. It plots the Sharpe Ratio over the past 180 days, color-coded to indicate valuation states:
- Red: Overvalued (Sharpe Ratio > 5).
- Green: Undervalued (Sharpe Ratio < -1).
-Blue: Critically Undervalued (Sharpe Ratio <-3).
- Yellow: Neutral (between -1 and 5).
Note that you can change those values yourself in the settings of the indicator.
Strengths:
- Real-time feedback on risk-adjusted returns helps in making timely investment decisions.
- Color-coded signals (red, green, blue and yellow) provide an intuitive, visual indication of the asset's valuation.
- Flexible: Easily adjustable to different subjective valuation levels and risk-free rates.
All hail to Professor Adam and The Real World Community!
Simple Parallel Channel TrackerThis script will automatically draw price channels with two parallel trends lines, the upper trendline and lower trendline. These lines can be changed in terms of appearance at any time.
The Script takes in fractals from local and historic price action points and connects them over a certain period or amount of candles as inputted by the user. It tracks the most recent highs and lows formed and uses this data to determine where the channel begins.
The Script will decide whether to use the most recent high, or low, depending on what comes first.
Why is this useful?
Often, Traders either have no trend lines on their charts, or they draw them incorrectly. Whichever category a trader falls into, there can only be benefits from having Trend lines and Parallel Channels drawn automatically.
Trends naturally occur in all Markets, all the time. These oscillations when tracked allow for a more reliable following of Markets and management of Market cycles.
Supply and Demand [tambangEA]Supply and Demand Indicator Overview
The Supply and Demand indicator on TradingView is a technical tool designed to help traders identify areas of significant buying and selling pressure in the market. By identifying zones where price is likely to react, it helps traders pinpoint key support and resistance levels based on the concepts of supply and demand. This indicator plots zones using four distinct types of market structures:
1. Rally-Base-Rally (RBR) : This structure represents a bullish continuation zone. It occurs when the price rallies (increases), forms a base (consolidates), and then rallies again. The base represents a period where buying interest builds up before the continuation of the upward movement. This zone can act as support, where buyers may step back in if the price revisits the area.
2. Drop-Base-Rally (DBR) : This structure marks a bullish reversal zone. It forms when the price drops, creates a base, and then rallies. The base indicates a potential exhaustion of selling pressure and a build-up of buying interest. When price revisits this zone, it may act as support, signaling a buying opportunity.
3. Rally-Base-Drop (RBD) : This structure signifies a bearish reversal zone. Here, the price rallies, consolidates into a base, and then drops. The base indicates a temporary balance before sellers overpower buyers. If price returns to this zone, it may act as resistance, with selling interest potentially re-emerging.
4. Drop-Base-Drop (DBD) : This structure is a bearish continuation zone. It occurs when the price drops, forms a base, and then continues dropping. This base reflects a pause before further downward movement. The zone may act as resistance, with sellers possibly stepping back in if the price revisits the area.
Features of Supply and Demand Indicator
Automatic Zone Detection : The indicator automatically identifies and plots RBR, DBR, RBD, and DBD zones on the chart, making it easier to see potential supply and demand areas.
Customizable Settings : Users can typically adjust the color and transparency of the zones, time frames for analysis, and zone persistence to suit different trading styles.
Visual Alerts : Many versions include alert functionalities, notifying users when price approaches a plotted supply or demand zone.
How to Use Supply and Demand in Trading
Identify High-Probability Reversal Zones : Look for DBR and RBD zones to identify potential areas where price may reverse direction.
Trade Continuations with RBR and DBD Zones : These zones can indicate strong trends, suggesting that price may continue in the same direction.
Combine with Other Indicators: Use it alongside trend indicators, volume analysis, or price action strategies to confirm potential trade entries and exits.
This indicator is particularly useful for swing and day traders who rely on price reaction zones for entering and exiting trades.
LiquidFusion SignalPro [CHE] LiquidFusion SignalPro – Indicator Overview
The LiquidFusion SignalPro is a powerful and sophisticated TradingView indicator designed to identify high-quality trade entries and exits. By combining seven unique sub-indicators, it provides comprehensive market analysis, ensuring traders can make informed decisions. This tool is suitable for all market conditions and supports customization to fit individual trading strategies.
Key Components (Sub-Indicators):
1. RPM (Relative Price Momentum):
- Measures cumulative price momentum over a specified period.
- Provides insights into price strength and directional bias.
- Input Customization:
- Source: Data for momentum calculation.
- Period: Length for momentum measurement.
- Resolution: Timeframe for data fetching.
2. BBO (Bull-Bear Oscillator):
- Calculates the strength of bullish or bearish momentum based on price movement and RSI conditions.
- Uses a super-smoothing technique for reliable signals.
- Customizable parameters include the oscillator's period and repainting options.
3. MACD (Moving Average Convergence Divergence):
- A classic momentum indicator for trend direction and strength.
- Provides buy/sell signals based on the crossover of the MACD line and signal line.
- Input Customization:
- Fast/Slow EMA Periods.
- Signal Line Period.
- Resolution and Source Data.
4. RSI (Relative Strength Index):
- Tracks overbought and oversold conditions.
- A key tool to validate trend continuation or reversals.
- Customizable period, resolution, and source.
5. CCI (Commodity Channel Index):
- Measures the deviation of price from its average.
- Useful for identifying cyclical trends.
- Input Customization includes period, resolution, and source.
6. Stochastic Oscillator:
- Indicates momentum by comparing closing prices to a range of highs and lows.
- Includes smoothing factors for %K and %D lines.
- Customizable parameters:
- %K Length and Smoothing.
- Resolution and Repainting Options.
7. Supertrend:
- A trailing stop-and-reverse system for trend-following strategies.
- Excellent for identifying strong trends and potential reversals.
- Inputs include the multiplier factor and period for ATR-like calculations.
Inputs Overview:
The indicator supports extensive customization for each sub-indicator, grouped under intuitive categories:
- Color Settings: Define bullish and bearish plot colors.
- RPM, BBO, MACD, RSI, CCI, Stochastic, and Supertrend Settings: Tailor each sub-indicator's behavior with adjustable parameters.
- UI Options: Toggle features such as bar coloring, indicator names, and plotted candles.
Trade Signals:
- Long Signal:
- All indicators align in a bullish state:
- RPM > 0, MACD > 0, RSI > 50, Stochastic > 50, CCI > 0, BBO > 0, Supertrend below price.
- Plot: Green triangle below the candle.
- Alert: Notifies the trader of a potential long entry.
- Short Signal:
- All indicators align in a bearish state:
- RPM < 0, MACD < 0, RSI < 50, Stochastic < 50, CCI < 0, BBO < 0, Supertrend above price.
- Plot: Red triangle above the candle.
- Alert: Notifies the trader of a potential short entry.
Features:
- Enhanced Visuals: Plots sub-indicator statuses using labels and color-coded shapes for clarity.
- Alerts: Integrated alert conditions for both long and short trades.
- Bar Coloring: Provides overall trend bias with green (bullish), red (bearish), or gray (neutral) bars.
- Customizable Table: Displays the indicator's status in the chart’s top-right corner.
Trading Benefits:
The LiquidFusion SignalPro excels in generating high-quality entries and exits by:
- Reducing noise through multiple indicator alignment.
- Supporting multiple timeframes and resolutions for flexibility.
- Offering customizable inputs for personalized trading strategies.
Use this tool to enhance your market analysis and improve your trading performance.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work.
Happy trading and best regards
Chervolino
Trendlines with Breaks ema ALARM//@version=5
strategy('HalfTrend Strategy', overlay=true, initial_capital=1000)
tlpc = input.string(title="Alert", defval="PineConnector", options= , tooltip="Go to alertatron to have alerts automatically sent to Telegram")
// Setting
ID = input("1234567890123", title="License ID (PineConnector)", group="Setting")
risk = input.float(2, title="Risk per Trade %", group="Setting", step=0.5)
typeSL = input.string(title="StopLoss", defval="ATR", options= , group="Setting")
typeTP = input.string(title="TakeProfit", defval="R:R", options= , group="Setting")
trendA = input.string(title="Trend Indicator", defval="EMA", options= , group="Setting")
_x = input.bool(false, title="do not take too small positions", group="Setting", tooltip="This parameter is used to avoid positions that have a stoploss too close to the entry point and that the broker's spreads take all the gains")
security = input.float(10, title="min of pips (00001.00)", group="Setting")
riskt = risk / 100 + 1
//Backtest Time Period
useDateFilter = input.bool(false, title="Filter Date Range of Backtest", group="Backtest Time Period")
backtestStartDate = input.time(timestamp("1 June 2022"), title="Start Date", group="Backtest Time Period", tooltip="This start date is in the time zone of the exchange " + "where the chart's instrument trades. It doesn't use the time " + "zone of the chart or of your computer.")
backtestEndDate = input.time(timestamp("1 July 2022"), title="End Date", group="Backtest Time Period", tooltip="This end date is in the time zone of the exchange " + "where the chart's instrument trades. It doesn't use the time " + "zone of the chart or of your computer.")
inTradeWindow = not useDateFilter or (time >= backtestStartDate and time < backtestEndDate)
//StopLoss
swingHighV = input.int(7, title="Swing High", group="Stop Loss", tooltip="Number of candles in which the parameter targets the highest")
swingLowV = input.int(7, title="Swing Low", group="Stop Loss", tooltip="Number of candles in which the parameter targets the lowest point")
atr1 = input.int(14, title="ATR Period", group="Stop Loss")
atrMultiplierSL = input.int(2, title = "ATR Multiplier", group="Stop Loss")
atr = ta.atr(atr1)
swingHigh = ta.highest(high, swingHighV)
swingLow = ta.lowest(low, swingLowV)
atrSell = close + atr * atrMultiplierSL
atrBuy = close - atr * atrMultiplierSL
//TakeProfit
target_stop_ratio = input.float(title='Risk/Reward (R:R)', defval=3, minval=0.5, maxval=100, step=0.1, group="TakeProfit")
target1 = input.float(1, title='Target 1 R:R (Multiple Target)', group="TakeProfit", step=0.1)
target2 = input.float(2, title='Target 2 R:R (Multiple Target)', group="TakeProfit", step=0.1)
//HalfTrend
amplitude = input(title='Amplitude', defval=2, group="HalfTrend")
channelDeviation = input(title='Channel Deviation', defval=2, group="HalfTrend")
showArrows = input(title='Show Arrows', defval=true, group="HalfTrend")
showChannels = input(title='Show Channels', defval=true, group="HalfTrend")
var int trend = 0
var int nextTrend = 0
var float maxLowPrice = nz(low , low)
var float minHighPrice = nz(high , high)
var float up = 0.0
var float down = 0.0
float atrHigh = 0.0
float atrLow = 0.0
float arrowUp = na
float arrowDown = na
atr2 = ta.atr(100) / 2
dev = channelDeviation * atr2
highPrice = high
lowPrice = low
highma = ta.sma(high, amplitude)
lowma = ta.sma(low, amplitude)
if nextTrend == 1
maxLowPrice := math.max(lowPrice, maxLowPrice)
if highma < maxLowPrice and close < nz(low , low)
trend := 1
nextTrend := 0
minHighPrice := highPrice
minHighPrice
else
minHighPrice := math.min(highPrice, minHighPrice)
if lowma > minHighPrice and close > nz(high , high)
trend := 0
nextTrend := 1
maxLowPrice := lowPrice
maxLowPrice
if trend == 0
if not na(trend ) and trend != 0
up := na(down ) ? down : down
arrowUp := up - atr2
arrowUp
else
up := na(up ) ? maxLowPrice : math.max(maxLowPrice, up )
up
atrHigh := up + dev
atrLow := up - dev
atrLow
else
if not na(trend ) and trend != 1
down := na(up ) ? up : up
arrowDown := down + atr2
arrowDown
else
down := na(down ) ? minHighPrice : math.min(minHighPrice, down )
down
atrHigh := down + dev
atrLow := down - dev
atrLow
ht = trend == 0 ? up : down
var color buyColor = color.blue
var color sellColor = color.orange
htColor = trend == 0 ? buyColor : sellColor
htPlot = plot(ht, title='HalfTrend', linewidth=2, color=htColor)
buySignal = not na(arrowUp) and trend == 0 and trend == 1
sellSignal = not na(arrowDown) and trend == 1 and trend == 0
//EMA
srce = input.source(close, title="Source", group="EMA (Trend)")
emav = input.int(200, title="Length", group="EMA (Trend)")
ema = ta.ema(srce, emav)
//Superichi
tenkan_len = input(9,'Tenkan',inline='tenkan', group="Superichi (Trend)")
tenkan_mult = input(2.,'',inline='tenkan', group="Superichi (Trend)")
kijun_len = input(26,'Kijun',inline='kijun', group="Superichi (Trend)")
kijun_mult = input(4,'',inline='kijun', group="Superichi (Trend)")
spanB_len = input(52,'Senkou Span B',inline='span', group="Superichi (Trend)")
spanB_mult = input(6, '', inline='span', group="Superichi (Trend)")
offset = input(26,'Displacement', group="Superichi (Trend)")
avg(src,length,mult)=>
atr = ta.atr(length)*mult
up = hl2 + atr
dn = hl2 - atr
upper = 0.,lower = 0.
upper := src < upper ? math.min(up,upper ) : up
lower := src > lower ? math.max(dn,lower ) : dn
os = 0,max = 0.,min = 0.
os := src > upper ? 1 : src < lower ? 0 : os
spt = os == 1 ? lower : upper
max := ta.cross(src,spt) ? math.max(src,max ) : os == 1 ? math.max(src,max ) : spt
min := ta.cross(src,spt) ? math.min(src,min ) : os == 0 ? math.min(src,min ) : spt
math.avg(max,min)
tenkan = avg(close,tenkan_len,tenkan_mult)
kijun = avg(close,kijun_len,kijun_mult)
senkouA = math.avg(kijun,tenkan)
senkouB = avg(close,spanB_len,spanB_mult)
tenkan_css = #2157f3
kijun_css = #ff5d00
cloud_a = color.new(color.teal,50)
cloud_b = color.new(color.red,50)
//Alert
getpips() =>
syminfo.mintick * (syminfo.type == "forex" ? 10 : 1)
mess_buyT = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(swingLow) + " ⛔️ " + "TP " + str.tostring(((close-swingLow)*target_stop_ratio)+close) + " 🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade."
mess_sellT = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(swingHigh) + " ⛔️ " + "TP " + str.tostring(close-((swingHigh-close)*target_stop_ratio)) + " 🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade."
mess_buyP = "" + str.tostring(ID) + ",buy," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(swingLow) + ",tp=" + str.tostring(((close-swingLow)*target_stop_ratio)+close) + ",risk=" + str.tostring(risk) + ""
mess_sellP = "" + str.tostring(ID) + ",sell," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(swingHigh) + ",tp=" + str.tostring(close-((swingHigh-close)*target_stop_ratio)) + ",risk=" + str.tostring(risk) + ""
mess_buyAT = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(atrBuy) + " ⛔️ " + "TP " + str.tostring(((close-atrBuy)*target_stop_ratio)+close) + " 🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade."
mess_sellAT = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(atrSell) + " ⛔️ " + "TP " + str.tostring(close-((atrSell-close)*target_stop_ratio)) + " 🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade."
mess_buyAP = "" + str.tostring(ID) + ",buy," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(atrBuy) + ",tp=" + str.tostring(((close-atrBuy)*target_stop_ratio)+close) + ",risk=" + str.tostring(risk) + ""
mess_sellAP = "" + str.tostring(ID) + ",sell," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(atrSell) + ",tp=" + str.tostring(close-((atrSell-close)*target_stop_ratio)) + ",risk=" + str.tostring(risk) + ""
mess_buyAMT = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(atrBuy) + " ⛔️ " + "TP1 " + str.tostring(((close-atrBuy)*target1)+close) + " 🎯 " + "TP2 " + str.tostring(((close-atrBuy)*target2)+close) + "🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade. BE si TP1 touché"
mess_sellAMT = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(atrSell) + " ⛔️ " + "TP1 " + str.tostring(close-((atrSell-close)*target1)) + " 🎯 " + "TP2 " + str.tostring(close-((atrSell-close)*target2)) + "🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade. BE si TP1 touché"
mess_buyAMP1 = "" + str.tostring(ID) + ",buy," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(atrBuy) + ",tp=" + str.tostring(((close-atrBuy)*target1)+close) + ",risk=" + str.tostring(risk/2) + ""
mess_buyAMP2 = "" + str.tostring(ID) + ",buy," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(atrBuy) + ",tp=" + str.tostring(((close-atrBuy)*target2)+close) + ",risk=" + str.tostring(risk/2) + ",betrigger=" + str.tostring(((((close-atrBuy)*target1)+close)-close)/getpips()) + ",beoffset=0"
mess_sellAMP1 = "" + str.tostring(ID) + ",sell," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(atrSell) + ",tp=" + str.tostring(close-((atrSell-close)*target1)) + ",risk=" + str.tostring(risk/2) + ""
mess_sellAMP2 = "" + str.tostring(ID) + ",sell," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(atrSell) + ",tp=" + str.tostring(close-((atrSell-close)*target2)) + ",risk=" + str.tostring(risk/2) + ",betrigger=" + str.tostring((close-(close-((atrSell-close)*target1)))/getpips()) + ",beoffset=0"
mess_buyMT = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(swingLow) + " ⛔️ " + "TP1 " + str.tostring(((close-swingLow)*target1)+close) + " 🎯 " + "TP2 " + str.tostring(((close-swingLow)*target2)+close) + "🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade. BE si TP1 touché"
mess_sellMT = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "Prix d'entrée " + str.tostring(close) + " " + "SL " + str.tostring(swingHigh) + " ⛔️ " + "TP1 " + str.tostring(close-((swingHigh-close)*target1)) + " 🎯 " + "TP2 " + str.tostring(close-((swingHigh-close)*target2)) + "🎯 " + "⚠️ Avertissement : Respectez votre money management, risquez seulement " + str.tostring(risk) + "% de votre capital sur ce trade. BE si TP1 touché"
mess_buyMP1 = "" + str.tostring(ID) + ",buy," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(swingLow) + ",tp=" + str.tostring(((close-swingLow)*target1)+close) + ",risk=" + str.tostring(risk/2) + ""
mess_buyMP2 = "" + str.tostring(ID) + ",buy," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(swingLow) + ",tp=" + str.tostring(((close-swingLow)*target2)+close) + ",risk=" + str.tostring(risk/2) + ",betrigger=" + str.tostring(((((close-swingLow)*target1)+close)-close)/getpips()) + ",beoffset=0"
mess_sellMP1 = "" + str.tostring(ID) + ",sell," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(swingHigh) + ",tp=" + str.tostring(close-((swingHigh-close)*target1)) + ",risk=" + str.tostring(risk/2) + ""
mess_sellMP2 = "" + str.tostring(ID) + ",sell," + str.tostring(syminfo.ticker) + ",sl=" + str.tostring(swingHigh) + ",tp=" + str.tostring(close-((swingHigh-close)*target2)) + ",risk=" + str.tostring(risk/2) + ",betrigger=" + str.tostring((close-(close-((swingHigh-close)*target1)))/getpips()) + ",beoffset=0"
// Strategy
float risk_long = na
float risk_short = na
float stopLoss = na
float takeProfit1 = na
float takeProfit2 = na
float entry_price = na
bool longcondition = na
bool shortcondition = na
if trendA == "Superichi"
longcondition := buySignal and close > senkouA and senkouA > senkouB
shortcondition := sellSignal and close < senkouA and senkouA < senkouB
if trendA == "EMA"
longcondition := buySignal and close > ema
shortcondition := sellSignal and close < ema
risk_long := risk_long
risk_short := risk_short
lotB = (strategy.equity*riskt-strategy.equity)/(close - swingLow)
lotS = (strategy.equity*riskt-strategy.equity)/(swingHigh - close)
lotB1 = (strategy.equity*riskt-strategy.equity)/(close - atrBuy)
lotS1 = (strategy.equity*riskt-strategy.equity)/(atrSell - close)
if typeSL == "ATR"
if typeTP == "Multiple Target"
if strategy.position_size == 0 and longcondition and inTradeWindow
risk_long := (close - atrBuy) / close
minp = close - atrBuy
if _x
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAMT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAMP1, when = minp > security)
alert(mess_sellAMP2, alert.freq_once_per_bar_close)
else
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAMT)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAMP1)
alert(mess_sellAMP2, alert.freq_once_per_bar_close)
if strategy.position_size == 0 and shortcondition and inTradeWindow
risk_short := (atrSell - close) / close
minp = atrSell - close
if _x
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAMT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAMP1, when = minp > security)
alert(mess_sellAMP2, alert.freq_once_per_bar_close)
else
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAMT)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAMP1)
alert(mess_sellAMP2, alert.freq_once_per_bar_close)
if typeTP == "R:R"
if strategy.position_size == 0 and longcondition and inTradeWindow
risk_long := (close - atrBuy) / close
minp = close - atrBuy
if _x
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAP, when = minp > security)
else
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAT)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB1, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyAP)
if strategy.position_size == 0 and shortcondition and inTradeWindow
risk_short := (atrSell - close) / close
minp = atrSell - close
if _x
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAP, when = minp > security)
else
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAT)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS1, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellAP)
if typeSL == "Swing"
if typeTP == "Multiple Target"
if strategy.position_size == 0 and longcondition and inTradeWindow
risk_long := (close - swingLow) / close
minp = close - swingLow
if _x
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyMT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyMP1, when = minp > security)
alert(mess_buyMP2, alert.freq_once_per_bar_close)
else
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyMT)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyMP1)
alert(mess_buyMP2, alert.freq_once_per_bar_close)
if strategy.position_size == 0 and shortcondition and inTradeWindow
risk_short := (swingHigh - close) / close
minp = swingHigh - close
if _x
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellMT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellMP1, when = minp > security)
alert(mess_sellMP2, alert.freq_once_per_bar_close)
else
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellMT)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellMP1)
alert(mess_sellMP2, alert.freq_once_per_bar_close)
if typeTP == "R:R"
if strategy.position_size == 0 and longcondition and inTradeWindow
risk_long := (close - swingLow) / close
minp = close - swingLow
if _x
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyP, when = minp > security)
else
if tlpc == "Telegram"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyT)
if tlpc == "PineConnector"
strategy.entry("long", strategy.long, qty=lotB, comment="Buy " + str.tostring(close) + "", alert_message = mess_buyP)
if strategy.position_size == 0 and shortcondition and inTradeWindow
risk_short := (swingHigh - close) / close
minp = swingHigh - close
if _x
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellT, when = minp > security)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellP, when = minp > security)
else
if tlpc == "Telegram"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellT)
if tlpc == "PineConnector"
strategy.entry("short", strategy.short, qty=lotS, comment="Sell " + str.tostring(close) + "", alert_message = mess_sellP)
if typeTP == "Multiple Target"
if tlpc == "Telegram"
if strategy.position_size > 0
stopLoss := strategy.position_avg_price * (1 - risk_long)
takeProfit1 := strategy.position_avg_price * (1 + target1 * risk_long)
takeProfit2 := strategy.position_avg_price * (1 + target2 * risk_long)
entry_price := strategy.position_avg_price
mess_profit1 = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "TP1 Touché ✅ +" + str.tostring(risk*target1) + "% "
strategy.exit("Exit 1", "long", limit = takeProfit1, qty_percent=50, comment_profit = "TP1 ✅", alert_profit = mess_profit1)
if ta.crossover(high, takeProfit1)
mess_profit2 = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "TP2 Touché ✅ +" + str.tostring(risk*target2) + "% "
mess_be = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "BE ❎"
strategy.exit("Exit 2", "long", stop = entry_price, limit = takeProfit2, qty_percent = 100, comment_profit = "TP2 ✅", comment_loss = "BE ❎", alert_profit = mess_profit2)
else
mess_loss = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "SL Touché ❌ -" + str.tostring(risk) + "% "
strategy.exit("Exit 1", "long", stop = stopLoss, qty_percent = 100, comment_loss = "SL ❌", alert_loss = mess_loss)
if strategy.position_size < 0
stopLoss := strategy.position_avg_price * (1 + risk_short)
takeProfit1 := strategy.position_avg_price * (1 - target1 * risk_short)
takeProfit2 := strategy.position_avg_price * (1 - target2 * risk_short)
entry_price := strategy.position_avg_price
mess_profit1 = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "TP1 Touché ✅ +" + str.tostring(risk*target1) + "% "
strategy.exit("Exit 1", "short", limit = takeProfit1, qty_percent = 50, comment_profit = "TP1 ✅", alert_profit = mess_profit1)
if ta.crossunder(low, takeProfit1)
mess_profit2 = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "TP2 Touché ✅ +" + str.tostring(risk*target2) + "% "
mess_be = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "BE ❎"
strategy.exit("Exit 2", "short", stop = entry_price, limit = takeProfit2, qty_percent = 100, comment_profit = "TP2 ✅", comment_loss = "BE ❎", alert_profit = mess_profit2)
else
mess_loss = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "SL Touché ❌ -" + str.tostring(risk) + "% "
strategy.exit("Exit 1", "short", stop = stopLoss, qty_percent = 100, comment_loss = "SL ❌", alert_loss = mess_loss)
if tlpc == "PineConnector"
if strategy.position_size > 0
stopLoss := strategy.position_avg_price * (1 - risk_long)
takeProfit1 := strategy.position_avg_price * (1 + target1 * risk_long)
takeProfit2 := strategy.position_avg_price * (1 + target2 * risk_long)
entry_price := strategy.position_avg_price
strategy.exit("Exit 1", "long", limit = takeProfit1, qty_percent=50, comment_profit = "TP1 ✅")
if ta.crossover(high, takeProfit1)
strategy.exit("Exit 2", "long", stop = entry_price, limit = takeProfit2, qty_percent = 100, comment_profit = "TP2 ✅", comment_loss = "BE ❎")
else
strategy.exit("Exit 1", "long", stop = stopLoss, qty_percent = 100, comment_loss = "SL ❌")
if strategy.position_size < 0
stopLoss := strategy.position_avg_price * (1 + risk_short)
takeProfit1 := strategy.position_avg_price * (1 - target1 * risk_short)
takeProfit2 := strategy.position_avg_price * (1 - target2 * risk_short)
entry_price := strategy.position_avg_price
strategy.exit("Exit 1", "short", limit = takeProfit1, qty_percent = 50, comment_profit = "TP1 ✅")
if ta.crossunder(low, takeProfit1)
strategy.exit("Exit 2", "short", stop = entry_price, limit = takeProfit2, qty_percent = 100, comment_profit = "TP2 ✅", comment_loss = "BE ❎")
else
strategy.exit("Exit 1", "short", stop = stopLoss, qty_percent = 100, comment_loss = "SL ❌")
if typeTP == "R:R"
if strategy.position_size > 0
stopLoss := strategy.position_avg_price * (1 - risk_long)
takeProfit1 := strategy.position_avg_price * (1 + target_stop_ratio * risk_long)
entry_price := strategy.position_avg_price
if tlpc == "Telegram"
mess_profit = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "TP Touché ✅ +" + str.tostring(risk*target_stop_ratio) + "% "
mess_loss = "📈 𝗔𝗖𝗛𝗔𝗧 🔵 " + str.tostring(syminfo.ticker) + " " + "SL Touché ❌ -" + str.tostring(risk) + "% "
strategy.exit("Exit long", "long", stop = stopLoss, limit = takeProfit1, comment_profit="TP ✅", comment_loss="SL ❌", alert_profit = mess_profit, alert_loss = mess_loss)
if tlpc == "PineConnector"
strategy.exit("Exit long", "long", stop = stopLoss, limit = takeProfit1, comment_profit="TP ✅", comment_loss="SL ❌")
if strategy.position_size < 0
stopLoss := strategy.position_avg_price * (1 + risk_short)
takeProfit1 := strategy.position_avg_price * (1 - target_stop_ratio * risk_short)
entry_price := strategy.position_avg_price
if tlpc == "Telegram"
mess_profit = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "TP Touché ✅ +" + str.tostring(risk*target_stop_ratio) + "% "
mess_loss = "📉 𝗩𝗘𝗡𝗧𝗘 🔴 " + str.tostring(syminfo.ticker) + " " + "SL Touché ❌ -" + str.tostring(risk) + "% "
strategy.exit("Exit short", "short", stop = stopLoss, limit = takeProfit1, comment_profit="TP ✅" , comment_loss="SL ❌", alert_profit = mess_profit, alert_loss = mess_loss)
if tlpc == "PineConnector"
strategy.exit("Exit short", "short", stop = stopLoss, limit = takeProfit1, comment_profit="TP ✅" , comment_loss="SL ❌")
//plot
trendema = trendA == "EMA" ? ema : na
plot(trendema, title="EMA", color=color.white, linewidth=2)
trendsuperA = trendA == "Superichi" ? senkouA : na
trendsuperB = trendA == "Superichi" ? senkouB : na
A = plot(trendsuperA,'Senkou Span A', na, offset=offset-1)
B = plot(trendsuperB,'Senkou Span B', na, offset=offset-1)
fill(A,B,senkouA > senkouB ? cloud_a : cloud_b)
plotshape(showArrows and buySignal ? atrLow : na, title='Arrow Up', style=shape.triangleup, location=location.absolute, size=size.tiny, color=color.new(buyColor, 0))
plotshape(showArrows and sellSignal ? atrHigh : na, title='Arrow Down', style=shape.triangledown, location=location.absolute, size=size.tiny, color=color.new(sellColor, 0))
exswingH = typeSL == "Swing" ? swingHigh : na
exswingL = typeSL == "Swing" ? swingLow : na
plot(exswingH, color=color.new(color.white, 60), style=plot.style_cross, title='Swing High')
plot(exswingL, color=color.new(color.white, 60), style=plot.style_cross, title='Swing Low')
exatrS = typeSL == "ATR" ? atrSell : na
exatrB = typeSL == "ATR" ? atrBuy : na
plot(exatrS, color=color.new(color.white, 60), title='ATR')
plot(exatrB, color=color.new(color.white, 60), title='ATR')
p_ep = plot(entry_price, color=color.new(color.white, 0), linewidth=2, style=plot.style_linebr, title='entry price')
p_sl = plot(stopLoss, color=color.new(color.red, 0), linewidth=2, style=plot.style_linebr, title='stopLoss')
p_tp2 = plot(takeProfit2, color=color.new(color.green, 0), linewidth=2, style=plot.style_linebr, title='takeProfit1')
p_tp1 = plot(takeProfit1, color=color.new(#52F071, 0), linewidth=1, style=plot.style_linebr, title='takeProfit2')
fill(p_sl, p_ep, color.new(color.red, transp=85))
fill(p_tp2, p_ep, color.new(color.green, transp=85))
fill(p_tp1, p_ep, color.new(#52F071, transp=85))
colorresult = strategy.netprofit > 0 ? color.green : color.red
profitprc = strategy.netprofit / strategy.initial_capital * 100
periodzone = (backtestEndDate - backtestStartDate) / 3600 / 24 / 1000
var tbl = table.new(position.top_right, 4, 2, border_width=3)
table.cell(tbl, 0, 0, "Symbole", bgcolor = #9B9B9B, width = 6, height = 6)
table.cell(tbl, 1, 0, "Net Profit", bgcolor = #9B9B9B, width = 6, height = 6)
table.cell(tbl, 2, 0, "Trades", bgcolor = #9B9B9B, width = 6, height = 6)
table.cell(tbl, 3, 0, "Period", bgcolor = #9B9B9B, width = 6, height = 6)
table.cell(tbl, 0, 1, str.tostring(syminfo.ticker), bgcolor = #E8E8E8, width = 6, height = 6)
table.cell(tbl, 1, 1, str.tostring(profitprc, format.mintick) + " %", bgcolor = colorresult, width = 6, height = 6)
table.cell(tbl, 2, 1, str.tostring(strategy.closedtrades), bgcolor = colorresult, width = 6, height = 6)
table.cell(tbl, 3, 1, str.tostring(periodzone) + " day", bgcolor = colorresult, width = 6, height = 6)
B-Xtrender By Neal inspired from @PuppytherapyThanks to @puppytherapy for creating the original B-Xtrender indicator, available at this link: B-Xtrender by @QuantTherapy
I played around the code to have entry and exit condition. The B-Xtrender @QuantTherapy
indicator is a momentum-based tool designed to help traders identify potential trade opportunities by tracking shifts in market momentum. Using a smoothed momentum oscillator, it detects changes in trend direction and provides clear signals for entry and exit points.
Features
Momentum Detection:
Tracks market momentum using the BX-Trender Oscillator.
Green bars indicate bullish momentum, while red bars indicate bearish momentum.
Lighter shades of green/red reflect weakening momentum.
Entry and Exit Signals:
Entry Condition: A long trade is triggered when the oscillator changes from red to green .
Exit Condition: A long trade exit is triggered when the oscillator changes from green to red .
Dynamic PnL Calculation:
Automatically calculates profit or loss in percentage (%) when a trade is exited.
Positive PnL values are prefixed with `+`, and negative values are shown as `-`.
Clear Visualization:
Bar chart-style oscillator in a separate pane for better trend visualization.
Trade labels on the main price chart for clear entry and exit points.
Inputs
Short-Term Momentum Parameters:
Short - L1: Length of the first EMA for short-term momentum calculations.
Short - L2: Length of the second EMA for short-term momentum calculations.
Short - L3: RSI smoothing period applied to the short-term momentum.
Long-Term Momentum Parameters:
Long - L1: Length of the EMA for long-term momentum calculations.
Long - L2: RSI smoothing period applied to the long-term momentum.
Entry and Exit Logic
Entry Condition:
A long trade is triggered when:
The BX-Trender Oscillator changes from red to green .
This shift indicates bullish momentum.
Exit Condition:
A long trade exit is triggered when:
The BX-Trender Oscillator changes from green to red .
This shift indicates a loss of bullish momentum or the start of bearish momentum.
PnL Calculation:
When exiting a trade, the indicator calculates the profit or loss as a percentage of the entry price.
Example:
A profit is displayed as +5.67% .
A loss is displayed as -3.21% .
Visualization
Oscillator Bars:
Green Bars: Represent increasing bullish momentum.
Light Green Bars: Represent weakening bullish momentum.
Red Bars: Represent increasing bearish momentum.
Light Red Bars: Represent weakening bearish momentum.
Just make sure that you checked off the B-Xtrend oscillator off from the style so chart can be active
Trade Labels:
Entry Labels: Displayed below the candle with the text Entry, long .
Exit Labels: Displayed above the candle with the text Exit .
Bar Chart Pane:
The oscillator is displayed in a separate pane for clear trend visualization.
Default Style
Oscillator Colors:
Green for bullish momentum.
Red for bearish momentum.
Light green and light red for weaker momentum.
Trade Labels:
Green labels for entries.
Red labels for exits, with percentage PnL displayed.
Use Cases
Momentum-Based Entries:
Detects shifts in momentum from bearish to bullish for precise trade entry points.
Trend Reversal Detection:
Identifies when bullish momentum weakens, signaling an exit opportunity.
Visual Simplicity:
Offers an intuitive way to track trends with its bar chart-style oscillator and clear trade labels.
This indicator doesn't indicate that it will work perfectly. More updates on the way.
Dynamic TestingInput Parameters
`lookbackPeriod` : Number of candles to check for determining the highest high (resistance) and lowest low (support) levels.
`atrPeriod` : The period for calculating the Average True Range (ATR), a measure of market volatility.
`atrMultiplierSL` : Multiplier to calculate the stop-loss distance relative to the ATR.
`atrMultiplierTP1` and `atrMultiplierTP2` : Multipliers to calculate two take-profit levels relative to ATR.
`rewardToRisk` : The ratio between reward (profit) and risk (stop loss) for trade management.
---
Core Calculations
ATR (Average True Range)
atr = ta.atr(atrPeriod)
ATR is computed using the specified period to gauge price volatility.
Volume SMA
volumeSMA = ta.sma(volume, atrPeriod)
The script calculates the simple moving average of volume over the same period as ATR. This is used as a threshold for validating high-volume scenarios.
---
Support and Resistance Levels
`support` : Lowest price over the last `lookbackPeriod` candles.
`resistance` : Highest price over the same period.
`supportBuffer` and `resistanceBuffer` : These are "buffered" zones around support and resistance, calculated using half of the ATR to prevent false breakouts.
---
Entry Scenarios
Bullish Entry (`isBullishEntry`)
The close is above the buffered support level.
The low of the current candle touches or breaks below the support level.
The trading volume is greater than the `volumeSMA`.
Bearish Entry (`isBearishEntry`)
The close is below the buffered resistance level.
The high of the current candle touches or exceeds the resistance level.
The trading volume is greater than the `volumeSMA`.
---
Box Visualization
Bullish and Bearish Boxes
Bullish Box (`bullishBox`):
- A green, semi-transparent rectangle around the support level to highlight the bullish entry zone.
- Dynamically updates based on recent price action.
Bearish Box (`bearishBox`):
- A red, semi-transparent rectangle around the resistance level to highlight the bearish entry zone.
- Adjusts similarly as price evolves.
---
Stop Loss and Take Profit Calculations
Bullish Trades
Stop Loss (`bullishSL`): Calculated as support - atrMultiplierSL * ATR .
Take Profit 1 (`bullishTP1`): support + rewardToRisk * atrMultiplierTP1 * ATR .
Take Profit 2 (`bullishTP2`): support + rewardToRisk * atrMultiplierTP2 * ATR .
Bearish Trades
Stop Loss (`bearishSL`): resistance + atrMultiplierSL * ATR .
Take Profit 1 (`bearishTP1`): resistance - rewardToRisk * atrMultiplierTP1 * ATR .
Take Profit 2 (`bearishTP2`): resistance - rewardToRisk * atrMultiplierTP2 * ATR .
---
Visualization for Key Levels
Bullish Scenario
Green lines represent `bullishTP1` and `bullishTP2` for profit targets.
A red line indicates the `bullishSL` .
Labels like "TP1," "TP2," and "SL" dynamically appear at respective levels to make the targets and risk visually clear.
Bearish Scenario
Red lines represent `bearishTP1` and `bearishTP2` .
A green line marks the `bearishSL` .
Similar dynamic labeling for `TP1` , `TP2` , and `SL` at corresponding bearish levels.
---
Dynamic Updates
Both the entry boxes and key level visualizations (lines and labels) adjust dynamically based on real-time price and volume data.
---
Purpose
Identify high-probability bullish and bearish trade setups.
Define clear entry zones (using boxes) and exit levels (TP1, TP2, SL).
Incorporate volatility (via ATR) and volume into decision-making.
---
Technical Summary
Dynamically visualize support/resistance levels.
Set risk-managed trades using ATR-based stop-loss and profit levels.
Automate visual trade zones for enhanced chart clarity.
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SOL 2X with DecayThe SOL 2X with Decay indicator models the theoretical performance of a 2x leveraged Solana (SOL) token, factoring in daily decay from borrowing costs and compounding effects.
Core Formula:
The indicator calculates the leveraged price using the following formula:
Use this image to check the Formula-
* I have used formula 1 for the easy calculations. *
Where:
SOL Price: Current price of Solana (SOL) in USDT.
2 : Leverage multiplier, doubling the daily returns of SOL.
Decay Rate : Daily cost or decay rate (default: 0.03% or 0.0003).
(Decay rate vary from 0.03% to 0.1%. You can take 0.05% if you want to add more decay)
Days Elapsed: Time (in days) since the specified start date.
How It Works:
Blue Line: Simulates the price of a 2x leveraged SOL token, considering exponential decay.
Orange Line: Plots the actual SOL/USDT price for comparison.
Use Cases:
Understand the long-term impact of decay on leveraged tokens.
Compare leveraged token performance with the underlying asset.
If you have any doubts feel free to Tag me in the chat at Vritant Sawhney or UID 01HJ30D3E0XY6WDKWRCRD93G40.
Thanks to Prof Adam. NO DAYS OFF.
Magic Trend LineThe Magic Trend line in your script is derived using the Commodity Channel Index (CCI), along with adjustments based on the Average True Range (ATR) to create a dynamic trend-following indicator. The key idea behind this is to provide a smoothed trend line that responds to both market volatility (using ATR) and the underlying price action (via CCI).
Here’s a step-by-step breakdown of how the Magic Trend line is calculated:
1. CCI Calculation
The Commodity Channel Index (CCI) is a momentum-based indicator that measures the deviation of the current price from its average over a specified period. In this script:
The CCI period is set to 20 bars by default, controlled by the lengthCCI input.
The CCI formula is:
𝐶
𝐶
𝐼
=
Close
−
SMA(Close, lengthCCI)
0.015
×
Mean Deviation
CCI=
0.015×Mean Deviation
Close−SMA(Close, lengthCCI)
where the Mean Deviation is the average of the absolute differences between the close price and the SMA of the close.
2. ATR-Based Trend Bands
The Average True Range (ATR) is a measure of volatility, and it's used here to define dynamic upper and lower trend bands. These bands adjust based on the volatility of the market, providing a flexible trend filter.
The ATR period is set to 5 bars by default, controlled by the AP input.
The ATR multiplier (coeff) is set to 1.0 by default.
Using the ATR, two trend bands are calculated:
Upper Trend Band (upT): low - ATR * coeff
Lower Trend Band (downT): high + ATR * coeff
These bands help to determine whether the market is in an uptrend or a downtrend, and they dynamically adjust to market conditions.
3. Magic Trend Line Adjustment
Once the CCI is calculated and the ATR-based bands are defined, the Magic Trend line (MagicTrend) is determined as follows:
If the CCI is greater than or equal to 0 (indicating a bullish market condition), the Magic Trend is pushed upwards towards the upper trend band, ensuring the trend does not dip below the upward ATR-based boundary. The line is adjusted to be the maximum of the previous Magic Trend value and the upper trend boundary.
MagicTrend
=
max
(
upT
,
MagicTrend
)
MagicTrend=max(upT,MagicTrend )
If the CCI is less than 0 (indicating a bearish market condition), the Magic Trend is pushed downwards towards the lower trend band, ensuring the trend does not rise above the downward ATR-based boundary. The line is adjusted to be the minimum of the previous Magic Trend value and the lower trend boundary.
MagicTrend
=
min
(
downT
,
MagicTrend
)
MagicTrend=min(downT,MagicTrend )
This approach smooths the CCI values while constraining them within dynamically adjusted trend bands based on market volatility.
4. Trend Coloring
The Magic Trend line is colored blue when the trend is bullish (CCI ≥ 0).
It is colored red when the trend is bearish (CCI < 0).
In Summary:
The Magic Trend is essentially a dynamic trend line that adapts to both price momentum (via CCI) and market volatility (via ATR). It is designed to smooth out the market's fluctuations and provide a clear visual indication of the trend direction. The line itself is adjusted to never exceed certain volatility boundaries defined by the ATR, ensuring it remains in sync with the market's natural fluctuations. The trend direction is color-coded for easy interpretation: blue for bullish trends and red for bearish trends.
Trend Levels [RD]This is the same script as the one from ChartPrime, just with the default length set to 200 (for BTC on the 15min it seems to give a good response), and the flip level shown in the table. The flip level is the level at which if hit, it will flip from the existing trend to the other.
Advanced Pivot Manipulation SuperTrend - Consolidation ZoneHere’s the description translated into English for your TradingView publication:
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Advanced Pivot Manipulation SuperTrend - Consolidation Zone
Description :
This advanced indicator combines multiple technical tools to provide a comprehensive analysis of trends, key levels, and consolidation zones. Ideal for traders seeking to spot opportunities while avoiding the traps of flat markets, it helps you better understand market dynamics and improve your trading decisions.
Key Features:
1.
Dynamic SuperTrend with Pivot Points:
- An enhanced SuperTrend algorithm based on pivot points for more precise trend tracking.
- Thresholds (Up/Dn) are dynamically adjusted using ATR (Average True Range) for improved volatility adaptation.
2. Consolidation Zones:
- Automatically identifies periods when the market moves within a narrow range (1% by default).
- Consolidation zones are visually highlighted to help avoid risky trades.
3. Dynamic Support and Resistance:
- Automatically calculates support and resistance levels based on a rolling period (configurable).
- These levels serve as key references for potential breakouts or trend reversals.
4. Advanced Detection Tools:
- Includes a volume multiplier and shadow-to-body ratio to signal unusual or potentially manipulated moves (e.g., spoofing).
5. Intuitive Visuals:
- SuperTrend lines are color-coded to indicate bullish (green) or bearish (red) trends.
- Semi-transparent lines mark support and resistance levels, and red backgrounds indicate consolidation zones.
Customizable Parameters:
- Pivot Point Period: Adjust the period for detecting pivot highs and lows.
- ATR Factor and Period: Control the sensitivity of the SuperTrend indicator.
- Lookback Period for S/R: Define the duration for calculating support and resistance levels.
- Volume Multiplier and Shadow/Body Ratio: Configure thresholds for detecting high volumes or anomalies in candlestick patterns.
How to Use:
- Easily identify dominant trends using the SuperTrend.
- Spot consolidation zones to avoid inefficient trades or prepare breakout strategies.
- Use support and resistance levels as reference points for placing orders or adjusting risk management.
Target Audience:
- Intraday and swing traders.
- Anyone looking for a comprehensive and customizable indicator to effectively analyze volatile markets.
---
Notes:
The indicator is fully customizable to suit your needs and strategies. Feel free to experiment with the parameters to maximize its effectiveness according to your trading style.
Keywords: SuperTrend, Support and Resistance, Consolidation, Pivot Points, Trends, ATR, Advanced Trading.
---
This description highlights the indicator’s strengths and is designed to appeal to the TradingView community.
Pivot Points W/ Mids and VWAP, 4-EMA's, Crossover & HA OverlapWith this indicator i included my basic Pivot Points with Mids, 4 EMA's that you can change to to whatever length you desire with the ability to have crossover alert for you 1st and 2nd EMA's only and the standard VWAP, i also included the Heiken Ashi and to use it you must go to chart Settings>Symbol and uncheck the candle colors, the reason for this is so that you can have the Pivot Points based on candle stick data and not based on Heiken Ashi data that will skew with the pivot point levels. This is what i typically have on my chart for trading and as time goes i might change/update with add ons to adjust the needs. Hope you guys enjoy it as i do. Happy Trading
Multiple RSITitle: MultiRSI: A Versatile Multi-Timeframe RSI Indicator
Short Description:
A powerful RSI-based indicator that incorporates three RSI lengths (Fast, Medium, and Slow) to help traders analyze trends, momentum, and potential reversals with clear visual signals.
Full Description:
Overview:
The MultiRSI script provides traders with a dynamic tool to assess market conditions across multiple RSI timeframes. It calculates Fast, Medium, and Slow RSI values, assigns meaningful colors based on trend analysis, and highlights key crossover points for actionable insights.
Key Features:
Triple RSI Display:
Fast RSI (default: 8): Ideal for capturing short-term momentum.
Medium RSI (default: 12): Provides a balanced perspective.
Slow RSI (default: 16): Helps identify longer-term trends.
Trend Analysis:
Color-coded RSI lines:
Green, blue, and aqua for uptrends.
Yellow, orange, and red for potential downtrends.
Visual differentiation for easy interpretation.
Crossover Signals:
Upward Cross (triangle up): Indicates potential bullish momentum.
Downward Cross (triangle down): Suggests possible bearish momentum.
Marked directly on the chart for clarity.
Customizable Inputs:
Adjust RSI lengths to suit your trading strategy.
Grouped input settings for a seamless configuration experience.
Usage Scenarios:
Identify trend strength and reversals in different timeframes.
Spot key momentum shifts with crossover signals.
Combine with other indicators for a comprehensive trading strategy.
How It Works:
The script compares the Fast RSI against the Medium RSI and the Medium RSI against the Slow RSI to determine short-, medium-, and long-term trends. Crossovers between Medium and Slow RSI values signal potential momentum shifts.
Visualization:
Clear, color-coded plots for the three RSI levels.
Highlighted crossovers for quick decision-making.
License:
This script is open-source under the Mozilla Public License 2.0. Feel free to use, modify, and share!
RSI ve MA Al/Sat Stratejisi RSI Hesaplaması: 14 periyotluk RSI kullanarak, fiyatın aşırı alım ya da aşırı satım seviyelerine gelip gelmediğini belirleriz. RSI 50'nin üzerindeyse, bu piyasada bir yükseliş sinyali anlamına gelir.
London USDEGP priceThis indicator calculates the hypothetical USDEGP price using CIB receipts price in London Stock Exchange and its price in EGX. Values are smoothed.
Super Scalping Indicator (Heikin Ashi Optimized)The Super Scalping Indicator is a custom trading indicator designed to assist traders in identifying potential buy and sell signals using a combination of technical analysis tools. This indicator is optimized for Heikin Ashi candles, which smooth out price data to highlight trends more clearly.
Key Features
MACD (Moving Average Convergence Divergence): Identifies momentum changes by comparing two exponential moving averages (EMAs).
RSI (Relative Strength Index): Measures the speed and change of price movements to identify overbought and oversold conditions.
Bollinger Bands: Provides a relative definition of high and low prices by using a moving average and standard deviations.
Volume Spike Detection: Highlights significant changes in trading volume, which can precede price movements.
Buy and Sell Signals: Combines the above indicators to generate potential entry and exit points.
Overbought and Oversold Markers: Visual cues for extreme RSI conditions.
Indicator Components
Inputs
EMA Lengths: fast_length and slow_length determine the periods for the fast and slow EMAs in the MACD calculation.
Signal Line Length: signal_length sets the period for the MACD signal line.
RSI Length: rsi_length defines the period for the RSI calculation.
Overbought/Oversold Levels: upper_rsi and lower_rsi set the thresholds for RSI conditions.
Bollinger Bands Parameters: bb_length and bb_std control the Bollinger Bands' moving average period and standard deviation multiplier.
Volume Multiplier: volume_multiplier is used to detect significant volume spikes.
Calculations
Heikin Ashi Data:
Since the chart is set to Heikin Ashi candles, the standard open, high, low, and close variables reference Heikin Ashi values.
Variables ha_open, ha_high, ha_low, and ha_close are assigned these values for clarity.
MACD Calculation:
fast_ema: Fast EMA of ha_close.
slow_ema: Slow EMA of ha_close.
macd_line: Difference between fast_ema and slow_ema.
signal_line: EMA of macd_line.
Signal Conditions
Buy Condition:
MACD line crosses above the signal line.
RSI is below the lower_rsi threshold.
ha_close is below the lower Bollinger Band.
Volume spike is detected.
Sell Condition:
MACD line crosses below the signal line.
RSI is above the upper_rsi threshold.
ha_close is above the upper Bollinger Band.
Volume spike is detected.
Overbought/Oversold Conditions:
Overbought: RSI exceeds upper_rsi.
Oversold: RSI falls below lower_rsi.
Plotting
Bollinger Bands:
Plots upper_band and lower_band with shaded area in between.
Buy and Sell Signals:
Buy: Green upward-pointing triangles below price bars.
Sell: Red downward-pointing triangles above price bars.
Overbought/Oversold Markers:
Overbought: Purple circles above price bars.
Oversold: Teal crosses below price bars.
Alerts
Buy Alert: Triggered when buy conditions are met.
Sell Alert: Triggered when sell conditions are met.
How to Use the Indicator
Set Chart to Heikin Ashi Candles:
Select "Heikin Ashi" from the chart type options.
Disclaimer
Not Investment Advice: This indicator is a tool for analysis and does not constitute financial advice.
Test Thoroughly: Always test on a demo account before live trading.
Use in Conjunction: Combine this tool with other forms of analysis for best results.
Developed by: Mohd Faizan Othman
Contact: @ibudata on Twitter / x
Support My Work: Donations are welcome at Ethereum address: 0x0F1397469a0333c899aad52b4ada89Bb816ADFd7.
BR Relative StrengthI.D. Relative Strength Easily with this indicator.
Bright green is increasing bullish relative strength.
Dark green is fading bullish relative strength.
Bright red is increasing bearish relative weakness.
Dark red is fading bearish relative weakness.
Strat Screener - Cristiano_m16Screener Including Miyagi setup, made for ATH. Basic Start Patterns for Rob Smith the Strat, mastered by Ayce. Mr Miyagi
Miyagi Screener - Cristiano_m16Scans 15 stocks for the Miyagi Setup (1-3-1)
Make sure to be on the 12h time frame first
USDEGP Rate MultipleIndicator shows the ratio between USDEGP rate calculated using CIB GDR and the official rate. In no stress, value should be stable.
