Trend Volume * RMS BUY SELL * V4 By DemirkanThis indicator is a trading tool designed to assist in analyzing market trends. It primarily uses Hull Moving Average (HMA) and Root Mean Square (RMS) volume analysis to generate buy and sell signals. Below is a detailed explanation of the functions used and their purposes:
1. EMA and ATR User Settings
pine
Kodu kopyala
emaLength = input.int(10, title="EMA Length")
atrLength = input.int(14, title="ATR Length")
atrMin = input.float(0.1, title="ATR Min")
atrMax = input.float(1.5, title="ATR Max")
colorUp = input.color(color.green, title="Buy Color")
colorDown = input.color(color.red, title="Sell Color")
This section allows the user to customize the indicator's parameters:
EMA Length: The period length for the Exponential Moving Average (EMA).
ATR Length: The period length for the Average True Range (ATR) indicator.
ATR Min and ATR Max: Minimum and maximum values for ATR.
colorUp and colorDown: Colors for the buy and sell signals.
2. Hull Moving Average (HMA) Settings
pine
Kodu kopyala
src = input(close, title="Source")
length = input.int(55, title="Hull Length")
lengthMult = input.float(1.0, title="Length Multiplier")
useHtf = input.bool(false, title="Show Hull MA from X timeframe?")
htf = input.timeframe("240", title="Higher timeframe")
This section sets up the parameters for the Hull Moving Average (HMA):
Source: The price source to use for HMA calculation (e.g., close price).
Hull Length: The period length for HMA calculation.
Length Multiplier: Multiplier for the HMA period.
useHtf: Allows the user to display the HMA from a different time frame (e.g., 4-hour chart).
htf: The time frame for the HMA calculation.
3. Hull MA Function
pine
Kodu kopyala
HMA(_src, _length) =>
ta.wma(2 * ta.wma(_src, _length / 2) - ta.wma(_src, _length), math.round(math.sqrt(_length)))
Here, the function for calculating the Hull Moving Average (HMA) is defined:
WMA (Weighted Moving Average): The weighted moving average function used in HMA calculation.
math.sqrt: The square root of the period length is used to improve the accuracy of HMA.
4. RMS Volume Calculation
pine
Kodu kopyala
trendLength = input.int(20, title="RMS Trend Length")
rmsVolume = math.sqrt(ta.sma(math.pow(volume, 2), trendLength))
This section calculates the Root Mean Square (RMS) of volume:
RMS: The square root of the average of squared volume values is calculated to measure volume variability.
SMA (Simple Moving Average): The average volume is calculated over a specified period.
5. RMS Volume Categorization
pine
Kodu kopyala
rmsCategory = "Low"
if rmsVolume > 1.5
rmsCategory := "High"
else if rmsVolume > 0.5
rmsCategory := "Medium"
This code categorizes the RMS volume into Low, Medium, and High categories. It highlights the importance of price movements accompanied by high volume.
6. Buy and Sell Signals
pine
Kodu kopyala
buySignal = (close > HULL) and (rmsCategory == "High")
sellSignal = (close < HULL) and (rmsCategory == "High")
Buy Signal: A buy signal is generated when the price is above the HMA and the volume is high.
Sell Signal: A sell signal is generated when the price is below the HMA and the volume is high.
7. Plot Hull MA
pine
Kodu kopyala
plot(HULL, title="Hull MA", color=color.blue, linewidth=2)
The Hull Moving Average is plotted in blue with a line width of 2 pixels on the chart.
8. Buy/Sell Signals as Shapes
pine
Kodu kopyala
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=colorUp, style=shape.triangleup, size=size.small)
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=colorDown, style=shape.triangledown, size=size.small)
Buy and sell signals are displayed as triangle shapes with the specified colors on the chart.
9. Alert Conditions
pine
Kodu kopyala
alertcondition(buySignal, title="Buy Alert", message="Price crossed above Hull MA with High RMS")
alertcondition(sellSignal, title="Sell Alert", message="Price crossed below Hull MA with High RMS")
These alert conditions notify the user when a buy or sell signal is triggered based on the Hull MA and RMS volume criteria.
Purpose and Warnings:
This indicator analyzes market trends using Hull Moving Average and RMS volume analysis, generating buy and sell signals based on high volume and trend direction.
However, it should not be used as a standalone indicator. It must be complemented with other indicators and analysis methods. Always apply risk management and consider market conditions when making buy and sell decisions.
Indicators and strategies
Swing Percentile Lines [QuantVue]The Swing High/Low Percentile Indicator is designed to help traders identify key price levels based on the most recent swing high and low. By anchoring to the most recent swing high and swing low, the indicator automatically generates percentile lines ( 25%, 50%, 75%) that act as dynamic support and resistance levels.
What Does the Indicator Do?
The Swing High/Low Percentile Indicator works by identifying the most recent significant price swings, whether it's a swing high or swing low. It then calculates the range between these points and divides the distance into percentage-based levels. These levels are plotted on the chart as clear, easy-to-read lines at 25%, 50%, and 75% of the range between the swing high and low.
These percentile lines serve as dynamic price zones where traders can anticipate potential reactions, whether the market is trending or consolidating.
How Can Traders Use the Indicator?
Support and Resistance: The percentile lines act as evolving support and resistance zones. Traders can anticipate price bounces or breaks at these levels, providing opportunities for trend-following or reversal trades.
Trend Identification: The indicator helps traders determine the strength of a trend. In a strong uptrend, price will likely stay above the 50% or 75% lines, while in a downtrend, it may remain below the 50% or 25% lines. This gives traders an edge in recognizing the overall market direction.
Entry and Exit Points: Traders can use the percentile lines to time their entries and exits. For example, entering a trade on a pullback to the 25% or 50% line offers a favorable risk-to-reward ratio. Similarly, the percentile lines serve as natural profit targets, allowing traders to plan exits as the price approaches the 50% or 75% levels.
Risk Management: The clear delineation of price levels makes it easy for traders to set stop-loss orders. For example, if price falls below the 25% line in an uptrend, it may signal weakness, prompting an exit or reduced position size.
Breakout and Breakdown Scenarios: When price breaks above a recent swing high or below a swing low, the percentile lines provide traders with pullback entry opportunities or key levels to watch for continuation of the move.
SMC with Inducement and DWM HL and Asian sessionSMC with Inducement and previous DWM HL and Asian session
Buy/Sell SignalExplanation of the Code
Sell Signal Condition: Checks if the pattern is a green candle followed by two red candles.
Buy Signal Condition: Checks if the pattern is a red candle followed by two green candles.
Plotting: Uses plotshape to show arrows above/below the bars when the conditions are met.
This script should be placed in the TradingView Pine Editor and will display buy/sell arrows on the chart where the patterns occur. You can adjust it to refine the pattern or the candle color criteria based on exact requirements. Let me know if you need further adjustments!
rajinder//@version=5
indicator("Buy and Sell Signals on MA and RSI", overlay=true)
// Define the 50-period moving average
ma50 = ta.sma(close, 50)
// Define the 14-period RSI
rsi = ta.rsi(close, 14)
// Define the conditions for the buy signal
candleClosedAboveMA = close > ma50 // Current candle closed above the 50 MA
rsiCrossedAbove60 = ta.crossover(rsi, 60) // RSI crossed above 60
// Define the conditions for the sell signal
candleClosedBelowMA = close < ma50 // Current candle closed below the 50 MA
rsiCrossedBelow40 = ta.crossunder(rsi, 40) // RSI crossed below 40
// Generate buy and sell signals
buySignal = candleClosedAboveMA and rsiCrossedAbove60
sellSignal = candleClosedBelowMA and rsiCrossedBelow40
// Plot the moving average
plot(ma50, color=color.blue, linewidth=2, title="50 MA")
// Plot buy and sell signals on the chart
plotshape(series=buySignal, location=location.abovebar, color=color.green, style=shape.labelup, text="Buy", title="Buy Signal")
plotshape(series=sellSignal, location=location.belowbar, color=color.red, style=shape.labeldown, text="Sell", title="Sell Signal")
// Optional: Display buy and sell signals on the price chart with background color
bgcolor(buySignal ? color.new(color.green, 90) : na, title="Buy Signal Background")
bgcolor(sellSignal ? color.new(color.red, 90) : na, title="Sell Signal Background")
Sim Capital EMAA product of Sim Academy.
This script is an upgrade of the existing Triple MA Forecast from Sim Capital
To allow the user to display 7 different EMAs
Default Value
8 ema
13 ema
21 ema
34 ema
89 ema
200 ema
777 ema
Note:
Best to use on high timeframe, if on low timeframe change the forecast maximum to lower
Average Bullish & Bearish Percentage ChangeAverage Bullish & Bearish Percentage Change
Processes two key aspects of directional market movements relative to price levels. Unlike traditional momentum tools, it separately calculates the average of positive and negative percentage changes in price using user-defined independent counts of actual past bullish and bearish candles. This approach delivers comprehensive and precise view of average percentage changes.
FEATURES:
Count-Based Averages: Separate averaging of bullish and bearish %𝜟 based on their respective number of occurrences ensures reliable and precise momentum calculations.
Customizable Averaging: User-defined number of candle count sets number of past bullish and bearish candles used in independent averaging.
Two Methods of Candle Metrics:
1. Net Move: Focuses on the body range of the candle, emphasizing the net directional movement.
2. Full Capacity: Incorporates wicks and gaps to capture full potential of the bar.
The indicator classifies Doji candles contextually, ensuring they are appropriately factored into the bullish or bearish metrics to avoid mistakes in calculation:
1. Standard Doji - open equals close.
2. Flat Close Doji - Candles where the close matches the previous close.
Timeframe Flexibility:
The indicator can be applied across any desired timeframe, allowing for seamless multi-timeframe analysis.
HOW TO USE
Select Method of Bar Metrics:
Net Move: For analyzing markets where price changes are consistent and bars are close to each other.
Full Capacity: Incorporates wicks and gaps, providing relevant figures for markets like stocks
Set the number of past candles to average:
🟩 Average Past Bullish Candles (Default: 10)
🟥 Average Past Bullish Candles (Default: 10)
Why Percentage Change Is Important
Standardized Measurement Across Assets:
Percentage change normalizes price movements, making it easier to compare different assets with varying price levels. For example, a $1 move in a $10 stock is significant, but the same $1 move in a $1,000 stock is negligible.
Highlights Relative Impact:
By measuring the price change as a percentage of the close, traders can better understand the relative impact of a move on the asset’s overall value.
Volatility Insights:
A high percentage change indicates heightened volatility, which can be a signal of potential opportunities or risks, making it more actionable than raw price changes. Percents directly reflect the strength of buying or selling pressure, providing a clearer view of momentum compared to raw price moves, which may not account for the relative size of the move.
By focusing on percentage change, this indicator provides a normalized, actionable, and insightful measure of market momentum, which is critical for comparing, analyzing, and acting on price movements across various assets and conditions.
My scriptA Script of indicator for convergence of various EMA Order blocks and alerts with buy sell signals
Raj Forex session 07Basically , the script is made for forex pairs where every sessions will be updated on the different colours boxes which will helps the individuals to identify the liquity sweep of every sessions.
Hope you love the indicator.....
Multi-Trend SynchronizerMulti-Trend Synchronizer
The Multi-Trend Synchronizer indicator provides a multi-timeframe trend analysis using SMMA (Smoothed Moving Average) across three user-defined timeframes: short, medium, and long-term. By synchronizing trends from these timeframes, this tool helps traders identify stronger alignment signals for potential trend continuation or reversal, enhancing decision-making in various market conditions.
Key Features
Multi-Timeframe Trend Analysis: Users can set three different timeframes, allowing flexibility in tracking trends over short (e.g., 15 minutes), medium (e.g., 1 hour), and long-term (e.g., 4 hours) intervals.
Clear Trend Visualization: The indicator plots SMMA lines on the main chart, color-coded by timeframe for intuitive reading. It also displays an at-a-glance trend alignment table, showing the current trend direction (bullish, bearish, or neutral) for each timeframe.
Buy and Sell Signals: Alignment across all timeframes generates Buy and Sell signals, visualized on the chart with distinct markers to aid entry/exit timing.
Usage Notes
This indicator is best used for trend-following strategies. The SMMA-based design provides smoother trend transitions, reducing noise compared to standard moving averages. However, as with all indicators, it is not foolproof and should be combined with other analyses for robust decision-making.
How It Works
The indicator calculates SMMA values for each selected timeframe and tracks trend changes based on SMMA's direction. When all timeframes show a unified direction (either bullish or bearish), the indicator generates a Buy or Sell signal. A table displays real-time trend direction, with color codes to assist traders in quickly assessing the market's overall direction.
Indicator Settings
Timeframes: Customize each SMMA timeframe to align with personal trading strategies or market conditions.
SMMA Length: Adjust the length of the SMMA to control sensitivity. Lower values may increase signal frequency, while higher values provide smoother, more stable trend indicators.
Disclaimer: As with any trend-following tool, this indicator is most effective when used in trending markets and may be less reliable in sideways conditions. Past performance does not guarantee future results, and users should be cautious of market volatility.
Use it for educational purposes!
asasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasas
Simplified MetroThis is a derivative of J. Welles Wilder's RSI (Relative Strength Index) from 1978. This version uses a fast and slow offset of the RSI to create signals. The RSI itself has been removed from this version for visual simplicity, but its setting still has an impact on the fast and slow stepped lines.
The "RSI Period" sets the number of bars used to calculate the RSI. A higher value results in a smoother RSI, while a lower value makes it more reactive to price changes.
The "Fast Step Size" defines the step size for the fast trend line. A larger value makes the fast step line less sensitive to RSI changes, creating a smoother line.
The "Slow Step Size" defines the step size for the slow trend line. A larger value makes the slow step line less sensitive to RSI changes, resulting in a smoother line compared to the fast step.
When the faster blue line crosses and closes above the slower fuchsia line we have a signal to go long, and vice versa we take a short position.
This indicator should not be traded on its own, but could be a valuable addition to a system used for identifying trends.
Zonas de Volumen, POC, Stop/Take ProfitEste indicador en TradingView, denominado "Zonas de Volumen, POC y Stop/Take Profit", permite visualizar las áreas clave de negociación en un activo, ayudando a identificar puntos estratégicos para gestionar posiciones.
EMA 10 Breakout Scalping IndicatorEMA 10 Scalping Breakout Indicator
The EMA 10 Breakout Scalping Indicator is designed to help traders catch short-term price movements by signaling potential breakout opportunities. This indicator uses a 10-period exponential moving average (EMA) to identify key support and resistance levels. It provides clear buy and sell signals based on price breaking above or below the EMA.
Features:
BUY Signal: The indicator generates a green label below the bar when the price crosses above the EMA, indicating a potential uptrend and buying opportunity.
SELL Signal: A red label appears above the bar when the price crosses below the EMA, suggesting a potential downtrend and opportunity to sell.
EMA Visualization: The 10-period EMA is plotted on the chart to visually track the short-term trend.
Real-Time Alerts: Quickly identify breakout points on any time frame for active scalping or trend-following strategies.
How to use:
BUY Signal: Enter a long position when the price crosses above the EMA.
SELL Signal: Enter a short position when the price crosses below the EMA.
EMA: EMA helps determine the direction of the trend. A price above the EMA indicates an uptrend, while a price below it suggests a downtrend.
Personalization:
You can easily adjust the EMA period to suit your trading style and time frame.
This indicator is ideal for scalpers or day traders looking to trade based on short-term price movements.
Perfect for:
Scalping: Catch small price movements with quick entries and exits.
Trend Following: Use the EMA to identify the current trend and enter trades accordingly.
Conclusion:
This simple yet powerful indicator helps traders spot potential breakouts based on the EMA 10. By combining price action and EMA, traders can execute timely trades and improve their decision-making process in both trend and range markets.
Let me know if you find this indicator useful, or feel free to suggest features you'd like to see added. Happy trading!
ATT Model with Buy/Sell SignalsIndicator Summary
This indicator is based on the ATT (Arithmetic Time Theory) model, using specific turning points derived from the ATT sequence (3, 11, 17, 29, 41, 47, 53, 59) to identify potential market reversals. It also integrates the RSI (Relative Strength Index) to confirm overbought and oversold conditions, triggering buy and sell signals when conditions align with the ATT sequence and RSI level.
Turning Points: Detected based on the ATT sequence applied to bar count. This suggests high-probability areas where the market could turn.
RSI Filter: Adds strength to the signals by ensuring buy signals occur when RSI is oversold (<30) and sell signals when RSI is overbought (>70).
Max Signals Per Session: Limits signals to two per session to reduce over-trading.
Entry Criteria
Buy Signal: Enter a buy trade if:
The indicator displays a green "BUY" marker.
RSI is below the oversold level (default <30), suggesting a potential upward reversal.
Sell Signal: Enter a sell trade if:
The indicator displays a red "SELL" marker.
RSI is above the overbought level (default >70), indicating a potential downward reversal.
Exit Criteria
Take Profit (TP):
Define TP as a fixed percentage or point value based on the asset's volatility. For example, set TP at 1.5-2x the risk, or a predefined point target (like 50-100 points).
Alternatively, exit the position when price approaches a key support/resistance level or the next significant swing high/low.
Stop Loss (SL):
Place the SL below the recent low (for buys) or above the recent high (for sells).
Set a fixed SL in points or percentage based on the asset’s average movement range, like an ATR-based stop, or limit it to a specific risk amount per trade (1-2% of account).
Trailing into Profit
Use a trailing strategy to lock in profits and let winning trades run further. Two main options:
ATR Trailing Stop:
Set the trailing stop based on the ATR (Average True Range), adjusting every time a new candle closes. This can help in volatile markets by keeping the stop at a consistent distance based on recent price movement.
Break-Even and Partial Profits:
When the price moves in your favor by a set amount (e.g., 1:1 risk/reward), move SL to the entry (break-even).
Take partial profit at intermediate levels (e.g., 50% at 1:1 RR) and trail the remainder.
Risk Management for Prop Firm Evaluation
Prop firms often have strict rules on daily loss limits, max drawdowns, and minimum profit targets. Here’s how to align your strategy with these:
Limit Risk per Trade:
Keep risk per trade to a conservative level (e.g., 1% or lower of your account balance). This allows for more room in case of a drawdown and aligns with most prop firm requirements.
Daily Loss Limits:
Set a daily stop-loss that ensures you don’t exceed the firm’s rules. For example, if the daily limit is 5%, stop trading once you reach a 3-4% drawdown.
Avoid Over-Trading:
Stick to the max signals per session rule (one or two trades). Taking only high-probability setups reduces emotional and reactive trades, preserving capital.
Stick to a Profit Target:
Aim to meet the evaluation’s profit goal efficiently but avoid risky or oversized trades to reach it faster.
Avoid Major Economic Events:
News events can disrupt technical setups. Avoid trading around significant releases (like FOMC or NFP) to reduce the chance of sudden losses due to high volatility.
Summary
Using this strategy with discipline, a structured entry/exit approach, and tight risk management can maximize your chances of passing a prop firm evaluation. The ATT model’s turning points, combined with the RSI, provide an edge by highlighting reversal zones, while limiting trades to 1-2 per session helps maintain controlled risk.
GPT_Custum - Trendline Breakouts With Targetschỉ báo đc Custum lại và hoạt động tốt trên khung 1h BTC-USDT
Threshold-Based Delta Price-Volume StrategyThis strategy observed change in price with reference to change in volume.
Rising Price (Strong Buy):
Price change > 3%.
Volume change > 10%.
Falling Price (Strong Buy):
Price change < -4%.
Volume change < 4%.
EMA Monitoring [Poltak]The indicator shows EMA 50, 100, 150, and 200 trend status.
You can configure time frame that you need as well.