Micropullback (10s trigger 1min setup)**Micropullback Trading Strategy**
This strategy is designed for day traders on the 1-minute chart, identifying high-probability pullback entries within an upward trend. It starts with detecting a **large green candle** with **high relative volume** (based on a volume SMA and ATR filter) as the wave initiation point. The pullback phase follows, requiring shallow retracements (less than 50% of the move) with controlled volume (red candle volume below the largest green candle) and no more than 3 consecutive red candles. An **entry signal** is triggered when a green candle breaks above the high of the previous candle during the pullback.
Risk management includes a **stop-loss** set slightly (2 ticks) below the lowest point of the pullback and a **take-profit** at a 1:2 risk-to-reward ratio. The strategy dynamically tracks wave metrics such as start price, highest price, and largest green volume to ensure accurate pullback validation. Visual markers include blue diamonds for large green candles and green arrows for entry signals.
Leveraging partial 1-minute data on 10-second charts, the strategy provides granular insights and real-time alerts for timely execution. It’s perfect for intraday momentum traders looking for precise entries and disciplined risk management.
Motifs graphiques
Micropullback Detector w/ Stop Buy & Exits (1 min)**Micropullback Trading Strategy**
This strategy is designed for day traders on the 1-minute chart, identifying high-probability pullback entries within an upward trend. It starts with detecting a **large green candle** with **high relative volume** (based on a volume SMA and ATR filter) as the wave initiation point. The pullback phase follows, requiring shallow retracements (less than 50% of the move) with controlled volume (red candle volume below the largest green candle) and no more than 3 consecutive red candles. An **entry signal** is triggered when a green candle breaks above the high of the previous candle during the pullback.
Risk management includes a **stop-loss** set slightly (2 ticks) below the lowest point of the pullback and a **take-profit** at a 1:2 risk-to-reward ratio. The strategy dynamically tracks wave metrics such as start price, highest price, and largest green volume to ensure accurate pullback validation. Visual markers include blue diamonds for large green candles and green arrows for entry signals.
Leveraging 1-minute charts, the strategy provides granular insights and real-time alerts for timely execution. It’s perfect for intraday momentum traders looking for precise entries and disciplined risk management.
kyle trend v1The "Kyle Trend v1" indicator is a custom Pine Script indicator designed for trend detection and analysis on financial charts. It combines multiple moving averages, a custom Supertrend-like algorithm, and Keltner Channels to identify market trends, potential buy/sell signals, and overall market sentiment.
kyle trend v1(Tony Bii?)Kyle Trend v1 is a powerful multi-functional trading indicator designed to assist traders in identifying trends, reversals, and optimal entry/exit points. It combines the precision of a modified Supertrend strategy with the flexibility of custom Keltner Channels and dynamic EMA layers, making it suitable for traders of all styles.
Bullish/Bearish Engulfing with Ichimoku & VWMAKey Features:
Bullish and Bearish Engulfing Patterns:
Bullish Engulfing: A green "BUY" label is displayed below the candle when a bullish engulfing pattern is detected. This pattern occurs when a smaller bearish candle is followed by a larger bullish candle that completely engulfs the previous candle's body.
Bearish Engulfing: A red "SELL" label is displayed above the candle when a bearish engulfing pattern is detected. This pattern occurs when a smaller bullish candle is followed by a larger bearish candle that completely engulfs the previous candle's body.
Ichimoku Cloud:
The Ichimoku Cloud is a comprehensive indicator that provides insights into support/resistance, trend direction, momentum, and potential buy/sell signals.
The cloud consists of:
Conversion Line (Tenkan-sen): A short-term moving average.
Base Line (Kijun-sen): A medium-term moving average.
Lead Line 1 (Senkou Span A): The midpoint of the Conversion Line and Base Line, plotted 26 periods ahead.
Lead Line 2 (Senkou Span B): A long-term moving average, plotted 26 periods ahead.
Lagging Span (Chikou Span): The current closing price plotted 26 periods behind.
The cloud is filled with a teal color when bullish and an orange color when bearish.
Volume Weighted Moving Average (VWMA):
The VWMA is plotted to show the average price weighted by volume, providing a clearer picture of price trends based on trading activity.
It helps confirm the strength of a trend by incorporating volume data.
Alerts:
Custom alerts are set up for both bullish and bearish engulfing patterns, allowing traders to receive notifications when these patterns occur.
How to Use:
Engulfing Patterns:
Look for "BUY" or "SELL" labels on the chart to identify potential reversal opportunities.
Use these signals in conjunction with other indicators for confirmation.
Ichimoku Cloud:
Use the cloud to determine the overall trend:
Bullish Trend: Price is above the cloud, and the cloud is teal.
Bearish Trend: Price is below the cloud, and the cloud is orange.
The Conversion Line and Base Line can act as dynamic support/resistance levels.
VWMA:
Use the VWMA to confirm the strength of the trend. A rising VWMA indicates bullish momentum, while a falling VWMA indicates bearish momentum.
Combining Signals:
For a stronger buy signal, look for:
A Bullish Engulfing pattern.
Price above the Ichimoku Cloud.
A rising VWMA.
For a stronger sell signal, look for:
A Bearish Engulfing pattern.
Price below the Ichimoku Cloud.
A falling VWMA.
Input Parameters:
Ichimoku Cloud:
Conversion Line Periods: Default is 9.
Base Line Periods: Default is 26.
Lagging Span 2 Periods: Default is 52.
Displacement: Default is 26.
VWMA:
VWMA Length: Default is 20.
Visualization:
Bullish Engulfing: Green "BUY" label below the candle.
Bearish Engulfing: Red "SELL" label above the candle.
Ichimoku Cloud: Teal (bullish) or orange (bearish) shaded area.
VWMA: Purple line on the chart.
Alerts:
Bullish Engulfing Alert: Triggers when a bullish engulfing pattern is detected.
Bearish Engulfing Alert: Triggers when a bearish engulfing pattern is detected.
Benefits:
Combines candlestick patterns, trend analysis, and volume-weighted indicators for a comprehensive trading strategy.
Provides clear visual cues for potential buy/sell opportunities.
Customizable parameters to suit different trading styles and timeframes.
This script is ideal for traders who want to combine candlestick pattern recognition with advanced technical indicators like the Ichimoku Cloud and VWMA for a more robust trading approach
Enhanced Professional Strategy with SupertrendThis Pine Script, designed for advanced traders, integrates a variety of sophisticated technical indicators and risk management tools to generate accurate buy and sell signals. The strategy combines multiple layers of market analysis to provide insights into price momentum, volatility, trend strength, and market sentiment.
Key Features:
Comprehensive Indicator Suite:
RSI (Relative Strength Index): Identifies oversold and overbought market conditions.
MACD (Moving Average Convergence Divergence): Tracks momentum and crossovers for trend direction.
Bollinger Bands: Measures volatility and identifies potential breakouts or reversals.
ADX (Average Directional Index): Evaluates the strength of the trend.
Stochastic Oscillator: Detects overbought and oversold levels for additional precision.
CCI (Commodity Channel Index): Highlights price deviations from its average.
VWAP (Volume Weighted Average Price): Helps confirm directional bias.
Supertrend: Adds a dynamic trend-following layer to filter buy and sell decisions.
Dynamic Sentiment Analysis:
Utilizes Bollinger Band width and volume spikes to approximate market fear and greed, enabling sentiment-driven trading decisions.
Trailing Stop-Loss:
Automatically manages risk by locking in profits or minimizing losses with dynamic trailing stops for both long and short positions.
Signal Visualization:
Clear visual cues for buy and sell signals are plotted directly on the chart using triangles, enhancing decision-making at a glance.
Bollinger Bands and Supertrend lines are plotted for added clarity of market conditions.
Customizable Parameters:
Fully adjustable inputs for all indicators, allowing traders to fine-tune the strategy to suit different trading styles and market conditions.
Alert System:
Integrated alerts notify traders in real time of new buy or sell opportunities, ensuring no trade is missed.
How It Works:
Buy Signal: Generated when the market shows oversold conditions, low sentiment, and aligns with a confirmed upward trend based on Supertrend and VWAP.
Sell Signal: Triggered when the market exhibits overbought conditions, high sentiment, and aligns with a confirmed downward trend.
This strategy combines technical, trend-following, and sentiment-driven methodologies to provide a robust trading framework suitable for equities, forex, or crypto markets.
Use Case:
Ideal for traders seeking to leverage a combination of indicators for precise entry and exit points, while managing risks dynamically with trailing stops.
Disclaimer: Past performance does not guarantee future results. This script is for educational purposes and should be used with proper risk management.
Golbach Advanced Fibonacci LevelsAdvanced Custom Fibonacci Levels Indicator:
This custom indicator allows traders to apply multiple Fibonacci levels on the price chart, calculated based on a user-defined price (A) and a variable (a). The Fibonacci levels are displayed as lines at significant price levels with customizable enable/disable options, colors, and labels for easy identification.
For the Price value, we take the first 5 digits of the price (removing the decimal point).
DR Low = Int(Price/PO3) x PO3
DR High = DR Low + PO3
PO3 = 27,81, 243, 729, 2187, .....
Key Features:
Customizable Price & Variable: Enter your own price value (A) and select from predefined variable options (21, 81, 243, 729, 2187).
Multiple Fibonacci Levels: Enable or disable key Fibonacci levels, such as 3%, 11%, 17%, 29%, 41%, and more.
Customizable Colors: Adjust the color of each Fibonacci level according to your preferences.
Dynamic Plotting: View low and high levels, alongside the selected Fibonacci levels, for better decision-making.
This tool is designed for traders who wish to apply advanced Fibonacci analysis to identify potential support and resistance zones based on custom parameters.
Swing Highs and LowsSwing Highs and Lows Indicator:
This custom indicator identifies and marks significant swing highs and lows on the price chart. It calculates pivots based on user-defined left and right bars, plotting small circles on the main pivot candle when a swing high or low is found.
Key Features:
Swing Size Input: Adjust the number of bars to the left and right of the current bar to define the swing high and low.
Pivot Calculation: Automatically detects pivot highs and lows based on price action.
Visual Marking: Displays tiny circles at swing highs and lows for easy identification.
This tool is useful for traders looking to identify key turning points in the market, which can assist in making more informed entry and exit decisions.
Micro-pullback (1s trigger, 1min setup)Micropullback Trading Strategy
This strategy is designed for day traders on the 1-minute chart, identifying high-probability pullback entries within an upward trend. It starts with detecting a large green candle with high relative volume (based on a volume SMA and ATR filter) as the wave initiation point. The pullback phase follows, requiring shallow retracements (less than 50% of the move) with controlled volume (red candle volume below the largest green candle) and no more than 3 consecutive red candles. An entry signal is triggered when a green candle breaks above the high of the previous candle during the pullback.
Risk management includes a stop-loss set slightly (2 ticks) below the lowest point of the pullback and a take-profit at a 1:1.5 risk-to-reward ratio. The strategy dynamically tracks wave metrics such as start price, highest price, and largest green volume to ensure accurate pullback validation. Visual markers include blue diamonds for large green candles and green arrows for entry signals.
Leveraging partial 1-minute data on 10-second charts, the strategy provides granular insights and real-time alerts for timely execution. It’s perfect for intraday momentum traders looking for precise entries and disciplined risk management.
EMA-RSI Auto Trading Strategy AllyThis is test for Crypto. Its for a trial and educational. not yet ready. once ready i will let youll knw abt it
Raghu Supertrend Fakeout with Tablethis is EMA Cross over, RSI , super trend with false breakout signals u can use this for multiple indicator tool in one
ZigZag++DDzigzag trading
Please note the original one is dedicated to developers, The code is very minimal for fast understanding when anyone wants to use it in their development
In this script, I have included several features like multi-timeframe and alerts. Do take a look and enjoy
EMA Crossover Buy/Sell Signals with AlertsErste EMA kreuzt zweite EMA und generiert ein Buy oder Sell Signal.
EMAs kann man beide beliebig einstellen.
Falcon Liquidity Grab StrategyHow to Use This Script for Commodities and Indices
Best Timeframes: Start with 15-minute charts but test on higher timeframes like 1 hour for indices.
Risk Settings: Adjust the stop_loss_points and take_profit_multiplier to match the volatility of the chosen instrument.
SCE Price Action SuiteThis is an indicator designed to use past market data to mark key price action levels as well as provide a different kind of insight. There are 8 different features in the script that users can turn on and off. This description will go in depth on all 8 with chart examples.
#1 Absorption Zones
I defined Absorption Zones as follows.
//----------------------------------------------
//---------------Absorption---------------------
//----------------------------------------------
box absorptionBox = na
absorptionBar = ta.highest(bodySize, absorptionLkb)
bsab = ta.barssince(bool(ta.change(absorptionBar)))
if bsab == 0 and upBar and showAbsorption
absorptionBox := box.new(left = bar_index - 1, top = close, right = bar_index + az_strcuture, bottom = open, border_color = color.rgb(0, 80, 75), border_width = boxLineSize, bgcolor = color.rgb(0, 80, 75))
absorptionBox
else if bsab == 0 and downBar and showAbsorption
absorptionBox := box.new(left = bar_index - 1, top = close, right = bar_index + az_strcuture, bottom = open, border_color = color.rgb(105, 15, 15), border_width = boxLineSize, bgcolor = color.rgb(105, 15, 15))
absorptionBox
What this means is that absorption bars are defined as the bars with the largest bodies over a selected lookback period. Those large bodies represent areas where price may react. I was inspired by the concept of a Fair Value Gap for this concept. In that body price may enter to be a point of support or resistance, market participants get “absorbed” in the area so price can continue in whichever direction.
#2 Candle Wick Theory/Strategy
I defined Candle Wick Theory/Strategy as follows.
//----------------------------------------------
//---------------Candle Wick--------------------
//----------------------------------------------
highWick = upBar ? high - close : downBar ? high - open : na
lowWick = upBar ? open - low : downBar ? close - low : na
upWick = upBar ? close + highWick : downBar ? open + highWick : na
downWick = upBar ? open - lowWick : downBar ? close - lowWick : na
downDelivery = upBar and downBar and high > upWick and highWick > lowWick and totalSize > totalSize and barstate.isconfirmed and session.ismarket
upDelivery = downBar and upBar and low < downWick and highWick < lowWick and totalSize > totalSize and barstate.isconfirmed and session.ismarket
line lG = na
line lE = na
line lR = na
bodyMidpoint = math.abs(body) / 2
upWickMidpoint = math.abs(upWickSize) / 2
downWickkMidpoint = math.abs(downWickSize) / 2
if upDelivery and showCdTheory
cpE = chart.point.new(time, bar_index - 1, downWickkMidpoint)
cpE2 = chart.point.new(time, bar_index + bl, downWickkMidpoint)
cpG = chart.point.new(time, bar_index + bl, downWickkMidpoint * (1 + tp))
cpR = chart.point.new(time, bar_index + bl, downWickkMidpoint * (1 - sl))
cpG1 = chart.point.new(time, bar_index - 1, downWickkMidpoint * (1 + tp))
cpR1 = chart.point.new(time, bar_index - 1, downWickkMidpoint * (1 - sl))
lG := line.new(cpG1, cpG, xloc.bar_index, extend.none, color.green, line.style_solid, 1)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.white, line.style_solid, 1)
lR := line.new(cpR1, cpR, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
lR
else if downDelivery and showCdTheory
cpE = chart.point.new(time, bar_index - 1, upWickMidpoint)
cpE2 = chart.point.new(time, bar_index + bl, upWickMidpoint)
cpG = chart.point.new(time, bar_index + bl, upWickMidpoint * (1 - tp))
cpR = chart.point.new(time, bar_index + bl, upWickMidpoint * (1 + sl))
cpG1 = chart.point.new(time, bar_index - 1, upWickMidpoint * (1 - tp))
cpR1 = chart.point.new(time, bar_index - 1, upWickMidpoint * (1 + sl))
lG := line.new(cpG1, cpG, xloc.bar_index, extend.none, color.green, line.style_solid, 1)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.white, line.style_solid, 1)
lR := line.new(cpR1, cpR, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
lR
First I get the size of the wicks for the top and bottoms of the candles. This depends on if the bar is red or green. If the bar is green the wick is the high minus the close, if red the high minus the open, and so on. Next, the script defines the upper and lower bounds of the wicks for further comparison. If the candle is green, it's the open price minus the bottom wick. If the candle is red, it's the close price minus the bottom wick, and so on. Next we have the condition for when this strategy is present.
Down delivery:
Occurs when the previous candle is green, the current candle is red, and:
The high of the current candle is above the upper wick of the previous candle.
The size of the current candle's top wick is greater than its bottom wick.
The total size of the previous candle is greater than the total size of the current candle.
The current bar is confirmed (barstate.isconfirmed).
The session is during market hours (session.ismarket).
Up delivery:
Occurs when the previous candle is red, the current candle is green, and:
The low of the current candle is below the lower wick of the previous candle.
The size of the current candle's bottom wick is greater than its top wick.
The total size of the previous candle is greater than the total size of the current candle.
The current bar is confirmed.
The session is during market hours
Then risk is plotted from the percentage that users can input from an ideal entry spot.
#3 Candle Size Theory
I defined Candle Size Theory as follows.
//----------------------------------------------
//---------------Candle displacement------------
//----------------------------------------------
line lECD = na
notableDown = bodySize > bodySize * candle_size_sensitivity and downBar and session.ismarket and barstate.isconfirmed
notableUp = bodySize > bodySize * candle_size_sensitivity and upBar and session.ismarket and barstate.isconfirmed
if notableUp and showCdSizeTheory
cpE = chart.point.new(time, bar_index - 1, close)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, close)
lECD := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.rgb(0, 80, 75), line.style_solid, 3)
lECD
else if notableDown and showCdSizeTheory
cpE = chart.point.new(time, bar_index - 1, close)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, close)
lECD := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.rgb(105, 15, 15), line.style_solid, 3)
lECD
This plots candles that are “notable” or out of the ordinary. Candles that are larger than the last by a value users get to specify. These candles' highs or lows, if they are green or red, act as levels for support or resistance.
#4 Candle Structure Theory
I defined Candle Structure Theory as follows.
//----------------------------------------------
//---------------Structure----------------------
//----------------------------------------------
breakDownStructure = low < low and low < low and high > high and upBar and downBar and upBar and downBar and session.ismarket and barstate.isconfirmed
breakUpStructure = low > low and low > low and high < high and downBar and upBar and downBar and upBar and session.ismarket and barstate.isconfirmed
if breakUpStructure and showStructureTheory
cpE = chart.point.new(time, bar_index - 1, close)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, close)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.teal, line.style_solid, 3)
lE
else if breakDownStructure and showStructureTheory
cpE = chart.point.new(time, bar_index - 1, open)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, open)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.red, line.style_solid, 3)
lE
It is a series of candles to create a notable event. 2 lower lows in a row, a lower high, then green bar, red bar, green bar is a structure for a breakdown. 2 higher lows in a row, a higher high, red bar, green bar, red bar for a break up.
#5 Candle Swing Structure Theory
I defined Candle Swing Structure Theory as follows.
//----------------------------------------------
//---------------Swing Structure----------------
//----------------------------------------------
line htb = na
line ltb = na
if totalSize * swing_struct_sense < totalSize and upBar and downBar and high > high and showSwingSturcture and session.ismarket and barstate.isconfirmed
cpS = chart.point.new(time, bar_index - 1, high)
cpE = chart.point.new(time, bar_index + bl_strcuture, high)
htb := line.new(cpS, cpE, xloc.bar_index, color = color.red, style = line.style_dashed)
htb
else if totalSize * swing_struct_sense < totalSize and downBar and upBar and low > low and showSwingSturcture and session.ismarket and barstate.isconfirmed
cpS = chart.point.new(time, bar_index - 1, low)
cpE = chart.point.new(time, bar_index + bl_strcuture, low)
ltb := line.new(cpS, cpE, xloc.bar_index, color = color.teal, style = line.style_dashed)
ltb
A bearish swing structure is defined as the last candle’s total size, times a scalar that the user can input, is less than the current candles. Like a size imbalance. The last bar must be green and this one red. The last high should also be less than this high. For a bullish swing structure the same size imbalance must be present, but we need a red bar then a green bar, and the last low higher than the current low.
#6 Fractal Boxes
I define the Fractal Boxes as follows
//----------------------------------------------
//---------------Fractal Boxes------------------
//----------------------------------------------
box b = na
int indexx = na
if bar_index % (n * 2) == 0 and session.ismarket and showBoxes
b := box.new(left = bar_index, top = topBox, right = bar_index + n, bottom = bottomBox, border_color = color.rgb(105, 15, 15), border_width = boxLineSize, bgcolor = na)
indexx := bar_index + 1
indexx
The idea of this strategy is that the market is fractal. It is considered impossible to be able to tell apart two different time frames from just the chart. So inside the chart there are many many breakouts and breakdowns happening as price bounces around. The boxes are there to give you the view from your timeframe if the market is in a range from a time frame that would be higher than it. Like if we are inside what a larger time frame candle’s range. If we break out or down from this, we might be able to trade it. Users can specify a lookback period and the box is that period’s, as an interval, high and low. I say as an interval because it is plotted every n * 2 bars. So we get a box, price moves, then a new box.
#7 Potential Move Width
I define the Potential Move Width as follows
//----------------------------------------------
//---------------Move width---------------------
//----------------------------------------------
velocity = V(n)
line lC = na
line l = na
line l2 = na
line l3 = na
line l4 = na
line l5 = na
line l6 = na
line l7 = na
line l8 = na
line lGFractal = na
line lRFractal = na
cp2 = chart.point.new(time, bar_index + n, close + velocity)
cp3 = chart.point.new(time, bar_index + n, close - velocity)
cp4 = chart.point.new(time, bar_index + n, close + velocity * 5)
cp5 = chart.point.new(time, bar_index + n, close - velocity * 5)
cp6 = chart.point.new(time, bar_index + n, close + velocity * 10)
cp7 = chart.point.new(time, bar_index + n, close - velocity * 10)
cp8 = chart.point.new(time, bar_index + n, close + velocity * 15)
cp9 = chart.point.new(time, bar_index + n, close - velocity * 15)
cpG = chart.point.new(time, bar_index + n, close + R)
cpR = chart.point.new(time, bar_index + n, close - R)
if ((bar_index + n) * 2 - bar_index) % n == 0 and session.ismarket and barstate.isconfirmed and showPredictionWidtn
cp = chart.point.new(time, bar_index, close)
cpG1 = chart.point.new(time, bar_index, close + R)
cpR1 = chart.point.new(time, bar_index, close - R)
l := line.new(cp, cp2, xloc.bar_index, extend.none, color.aqua, line.style_solid, 1)
l2 := line.new(cp, cp3, xloc.bar_index, extend.none, color.aqua, line.style_solid, 1)
l3 := line.new(cp, cp4, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
l4 := line.new(cp, cp5, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
l5 := line.new(cp, cp6, xloc.bar_index, extend.none, color.teal, line.style_solid, 1)
l6 := line.new(cp, cp7, xloc.bar_index, extend.none, color.teal, line.style_solid, 1)
l7 := line.new(cp, cp8, xloc.bar_index, extend.none, color.blue, line.style_solid, 1)
l8 := line.new(cp, cp9, xloc.bar_index, extend.none, color.blue, line.style_solid, 1)
l8
By using the past n bar’s velocity, or directional speed, every n * 2 bars. I can use it to scale the close value and get an estimate for how wide the next moves might be.
#8 Linear regression
//----------------------------------------------
//---------------Linear Regression--------------
//----------------------------------------------
lr = showLR ? ta.linreg(close, n, 0) : na
plot(lr, 'Linear Regression', color.blue)
I used TradingView’s built in linear regression to not reinvent the wheel. This is present to see past market strength of weakness from a different perspective.
User input
Users can control a lot about this script. For the strategy based plots you can enter what you want the risk to be in percentages. So the default 0.01 is 1%. You can also control how far forward the line goes.
Look back at where it is needed as well as line width for the Fractal Boxes are controllable. Also users can check on and off what they would like to see on the charts.
No indicator is 100% reliable, do not follow this one blindly. I encourage traders to make their own decisions and not trade solely based on technical indicators. I encourage constructive criticism in the comments below. Thank you.
Weinstein Stage Analysis Candles By IAMOZAKWeinstein Stage Analysis Candles By IAMOZAK Önemli Değişiklikler
stage Değişkeninin Başlatılması:
var int stage = 0 ile başlangıç değeri olarak 0 atanır. Bu, na hatasını önler.
stage her yeni mum için hesaplanır ve uygun aşama atanır.
Koşul Yapıları:
if-else bloklarıyla fiyatın hareketine göre aşama (stage) belirlenir.
Renk Ataması:
Eğer aşama belirlenemezse (stage = 0), hiçbir renk atanmaz (na).
Support Resistance and inside bar by Ersoy BilgeSupport Resistance with inside bar together easy for understanding.
Cotuk Cumulative Volume IndicatorThis indicator is used for tracking cumulative volumes and useful for generating buy/sell signals