EMA X OverA straightforward indicator that plots two exponential moving averages (EMAs). Upon a crossover between the two EMAs, the chart will display a marker.
Furthermore, when the price closes above or below the long EMA, the chart will also indicate this occurrence with a marker.
Индикаторы и стратегии
Engulfing Bar RazoteIt indicates an Engulfing Bar.
Bullish Engulfing Bar:
(1) A bar that sweeps the LOW and closes above the previous day's close (If previous day is bullish)
(2) A bar that sweeps the LOW and closes above the previous day's open (If previous day is bearish)
Bearish Engulfing Bar:
(1) A bar that sweeps the HIGH and closes below the previous day's open (If previous day is bullish)
(2) A bar that sweeps the HIGH and closes below the previous day's close (If previous day is bearish)
With Notifications.
Trend Volume with Buy/Sell SignalsYou can customize the emaLength and volMultiplier to suit your trading style.
Stochastic RSI StrategyK çizgisi D çizgisini 10 değerinin altında aşağıdan yukarı keserse mum kapanışında short işlemi kapatıp long işleme girecek ve K çizgisi D çizgisini 90 üstünde yukardan aşağıya keserse mum kapandığında long işelemi kapatıp short işleme girecek
EMA Squeeze RythmHere's a description of this indicator and its purpose:
This indicator is based on the concept of price consolidation and volatility contraction using multiple Exponential Moving Averages (EMAs). It primarily looks for "squeeze" conditions where the EMAs converge, indicating potential market consolidation and subsequent breakout opportunities.
Key Features:
1. Uses 8 EMAs (20-55 period) to measure price compression
2. Measures the distance between fastest (20) and slowest (55) EMAs in ATR units
3. Identifies four distinct states:
- PRE-SQZE: Initial convergence of EMAs
- SQZE: Tighter convergence
- EXT-SQZE: Extreme convergence (highest probability of breakout)
- RELEASE: EMAs begin to expand (potential breakout in progress)
Best Used For:
- Identifying potential breakout setups
- Finding periods of low volatility before explosive moves
- Confirming trend strength using higher timeframe analysis
- Trading mean reversion strategies during squeeze states
- Catching momentum moves during release states
The indicator works well on any timeframe but is particularly effective on 15M to 4H charts for most liquid markets. It includes higher timeframe analysis to help confirm the broader market context.
Supply and Demand - Order Block Strategy BY ALGERNON STONEBreakout Logic:
topBreakCheckSource and bottomBreakCheckSource are used to define the break-out check based on user input.
If the price crosses over the topValue (the high of the last fractal) and topBreakBlock is not set, then a long entry is generated after creating a demandBox, based on the last red candle's low and high.
If the price crosses under the bottomValue and bottomBreakBlock is not set, then a short entry is generated after creating a supplyBox, based on the last green candle's low and high.
If a long or short is active, and a breakout of the price happens, the script will draw a new line object to indicate the breakout, where x2 of the line is set to the current bar index
Fractal Detection:
If a new up fractal is detected, the topValue and topLine variables are updated, and the old line object is deleted
If a new down fractal is detected, the bottomValue and bottomLine variables are updated, and the old line object is deleted
Box Color Update:
The script loops through all the active boxes and changes their color if the current candle close price is outside the range of the box.
Plots: Plots the up and down fractals for visualization.
Checklist Table: A table displays the status of different conditions of the script on the bottom right.
Shows status of Up Fractal, Down Fractal, Top Break, Bottom Break, Last Red Candle, Last Green Candle, Box Color Change Active using check and cross mark symbols.
How the Strategy Works:
Fractal Identification: The strategy continuously looks for fractal highs and lows.
Order Block Identification: When a new fractal is formed, the script stores the high and low of the last opposing candle.
Breakout Confirmation: When price breaks the range of a fractal, it indicates an order block breakout.
Trade Execution: When there is a valid breakout, it triggers a long or short trade, depending on whether a demand or supply zone is broken.
Box Visualization: The script visually represents the order blocks using boxes that are colored green for demand zones and red for supply zones. These boxes can be optionally re-colored if the price breaks beyond them.
Checklist Display: A checklist table at the bottom right of the chart helps the user to quickly understand the script status.
Critical MA's for Osiris(50, 111, 200)Indicator Name: Critical MAs for Osiris (50, 111, 200)
This indicator plots three critical Simple Moving Averages (SMA) — 50, 111, and 200 periods — directly on the chart. It provides a clear visual representation of these key moving averages, which are widely used for analyzing market trends, identifying potential support and resistance levels, and assessing overall market direction.
Features:
1-Moving Average Calculation:
50-period SMA: Represents the short-term trend.
111-period SMA: Serves as a medium-term trend line.
200-period SMA: Indicates the long-term trend and is often used as a critical benchmark for trend reversals.
2-Visualization:
The 50-period SMA is displayed in blue, providing a quick reference for short-term price movements.
The 111-period SMA is displayed in orange, offering insights into medium-term price behavior.
The 200-period SMA is displayed in red, signifying the long-term market direction.
3-Customizable Parameters:
Each moving average length is defined as a constant, making it easy to adjust the indicator for different strategies.
Use Cases:
-Trend Analysis:
The alignment and slopes of these moving averages help identify the direction of the trend (bullish, bearish, or sideways).
-Support and Resistance:
Price reactions around these moving averages can signal potential support or resistance levels.
-Market Strength:
The position of the price relative to the moving averages can provide insights into the strength or weakness of the current trend.
This indicator is particularly useful for traders seeking to incorporate a multi-timeframe perspective into their trading strategies. It is simple, effective, and applicable across various financial instruments, including stocks, forex, and cryptocurrencies.
Jalambi Paul modelKey Components
Inputs:
Window Length (window): The number of periods for calculating the rolling statistics. Default is set to 50.
Risk Percentage (risk_percentage): The percentage of capital risked per trade. Default is 1.0%.
Stop Loss and Take Profit Levels:
Stop Loss: Default is 2% of the entry price.
Take Profit: Default is 4% of the entry price.
Logarithmic Returns:
Calculates the logarithmic return of the price series using:
log_return
=
log
(
close
close
)
log_return=log(
close
close
)
This helps in normalizing price changes.
Rolling Statistics:
Mean (rolling_mean): Calculated over the rolling window using the Simple Moving Average (SMA).
Standard Deviation (rolling_std): Measured over the rolling window to understand volatility.
Shiryaev-Zhou Index (SZI):
The SZI is a standardized z-score:
SZI
=
log_return
−
rolling_mean
rolling_std
SZI=
rolling_std
log_return−rolling_mean
This metric is used to detect overbought or oversold conditions.
Signal Generation:
Buy Signal (long_signal): Triggered when SZI is below a fixed threshold (-2.0).
Sell Signal (short_signal): Triggered when SZI is above a fixed threshold (2.0).
Visuals on the Chart:
Buy signals are plotted below the price bars with green upward-pointing labels.
Sell signals are plotted above the price bars with red downward-pointing labels.
Trade Execution:
Entry Conditions:
Long positions are opened when long_signal is true.
Short positions are opened when short_signal is true.
Exit Conditions:
Stop Loss and Take Profit levels are calculated based on the entry price and the respective percentage inputs.
Positions are closed automatically when these levels are hit.
Visualization:
Plots the stop-loss (red line) and take-profit (green line) levels on the chart for easier tracking.
Coinbase + BINANCE + BITFINEX Premium Index StrategyThe premium Index helps traders identify moments of increased buying pressure among U.S. investors, often indicative of bullish momentum on lower timeframes. Use this tool to monitor premium dynamics and gain a clearer understanding of market sentiment across major exchanges.
3PA RULES+ EMA + DI Crossover1st set
Ema cross of 50 and 200
2nd set
Give buy signal when price cross above buy alert candle and sell signal when price cross below sell alert candle
Buy alert candle:
Current candle high > previous candle high
Current candle low > previous candle low
Current candle close > previous candle high
Sell alert candle :
Current candle high < previous candle high
Current candle low < previous candle low
Current candle close < previous candle low
3rd set
DI crossover
Multi-EMA Indicator by Anand Padmanabhan @pBasic indicator which includes 21, 34, 50, 100 and 200 EMA
DotThis script allows users to mark a specific candlestick for multi-timeframe analysis or observation. It is designed to facilitate better tracking and analysis of selected areas across different timeframes.
RMA 15 and RMA 10 Cross Strategy (Exit on Next Signal)
The RMA Cross Strategy involves using two Rolling Moving Averages (RMA), typically one with a short period (e.g., 10) and another with a longer period (e.g., 15). The strategy generates trading signals based on the crossover of these RMAs:
Signals:
Buy Signal: When the RMA with a shorter period (RMA 10) crosses above the RMA with a longer period (RMA 15), indicating an upward trend.
Sell Signal: When the RMA with a shorter period (RMA 10) crosses below the RMA with a longer period (RMA 15), indicating a downward trend.
Enhanced Cognitive Learning Indicator 2.0 - Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning 2.0
improved integration and inputs
Zones by PACEEE (UTC)This code is designed to display vertical lines and labels on a trading chart at specified predefined times, all in UTC. The times to mark on the chart are provided in the predefinedTimes array (in HH:MM format), and each time is associated with a custom label from the lineNames array. The code calculates and plots vertical lines on the chart to mark these times, with the option to display a label above each line.
Times defined by PACE!!
True CB Premium - USDT/USD adjustedCoinbase Discount/Premium indicator with adjustment for USDT/USD price volatility.
US Market Opening UTC+1Description:
This script highlights the opening time of the US stock market (15:30 UTC+1) on a TradingView chart. It is designed to help traders quickly identify market openings and analyze price movements during this key trading period.
Key Features:
Market Opening Identification:
Automatically detects the exact moment the US stock market opens each day (15:30 UTC+1).
Marks the opening with a vertical line spanning the entire chart and a label for visual clarity.
Custom Indicators:
A blue line is drawn from the lowest to the highest price of the opening candle, extending across the chart to visually indicate the start of the trading day.
A labeled marker reading "US-Opening" is placed at the top of the opening candle for additional clarity.
Ease of Use:
Simple overlay indicator that works seamlessly on any timeframe chart.
Helps traders focus on key opening price action.
Use Case:
This script is particularly useful for day traders and scalpers who want to identify and analyze the price behavior around the opening of the US stock market. It provides a visual cue to help traders develop strategies or make informed decisions during this active trading period.
Note:
Ensure your chart’s timezone is set to match UTC+1 or appropriately adjust for your location to ensure accurate time alignment.
If you have questions or suggestions, feel free to provide feedback!
XRP/USD Scalping Strategy with Alerts
The strategy in your script is designed for scalping XRP/USD, utilizing a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Volume analysis, and N-Bar detection to identify potential buy and sell signals. It aims to make quick, small profits by taking advantage of short-term price movements. Here's a detailed breakdown:
Key Components of the Strategy:
Exponential Moving Averages (EMAs):
Short EMA (8-period) and Long EMA (21-period) are used to identify the trend.
A buy signal is generated when the Short EMA crosses above the Long EMA (bullish crossover).
A sell signal is generated when the Short EMA crosses below the Long EMA (bearish crossunder).
Relative Strength Index (RSI):
The RSI (with a 14-period) is used to assess whether the market is in an overbought or oversold condition.
For a long position, the strategy checks if the RSI is above 50 to ensure that the market is not in an oversold condition.
For a short position, the strategy checks if the RSI is below 50, which signals a weaker or bearish market.
Volume Analysis:
The strategy checks if the current volume is greater than the average volume over a defined period (20 bars in this case).
Higher volume indicates stronger market participation and gives more confidence in the signals.
N-Bar Detection:
The strategy uses a custom function to detect the price action of the last n bars.
Bullish N-bars: If the lowest low of the last n_bars is higher than the lowest low of the previous 2*n_bars (indicating a bullish reversal pattern).
Bearish N-bars: If the highest high of the last n_bars is lower than the highest high of the previous 2*n_bars (indicating a bearish reversal pattern).
Buy (Long) Condition:
EMA Crossover: The Short EMA crosses above the Long EMA, indicating a potential upward trend.
RSI > 50: The market is not in an oversold state (indicating that the market is bullish).
Volume > Average Volume: The current volume is higher than the average volume, signaling increased market activity.
Bullish N-bars: The price action of the last n_bars shows a bullish reversal, providing additional confirmation for a buy.
Sell (Short) Condition:
EMA Crossunder: The Short EMA crosses below the Long EMA, indicating a potential downward trend.
RSI < 50: The market is not in an overbought state (indicating that the market is bearish).
Volume > Average Volume: The current volume is higher than the average volume, signaling increased market activity.
Bearish N-bars: The price action of the last n_bars shows a bearish reversal, providing additional confirmation for a sell.
Take Profit and Stop Loss:
The strategy includes a take profit and stop loss mechanism to limit the risk and secure profits.
Take Profit: Set at 1.5% of the entry price.
Stop Loss: Set at 0.7% of the entry price.
Alerts:
The strategy has alerts for both buy and sell signals.
When the buy or sell conditions are met, it triggers an alert, sending notifications (pop-up, email, etc.) to the user.
Summary of the Strategy:
Trend Following with EMA: The strategy relies on the crossover of short and long EMAs to determine the trend direction.
Momentum Analysis with RSI: The RSI confirms that the market is not overbought or oversold, ensuring that the trade is made in favorable conditions.
Volume Confirmation: Only signals with increased market participation (higher volume than the average) are considered valid.
Reversal Patterns with N-bars: The N-bar detection adds a layer of confirmation for potential reversals, improving the accuracy of entry signals.
Risk Management: The take profit and stop loss levels are designed to capture small, profitable moves while protecting from large losses.
This scalping strategy aims for quick, small profits with controlled risk, making it suitable for highly liquid markets like XRP/USD. The use of EMAs, RSI, volume analysis, and N-bar patterns increases the reliability of the signals and helps minimize false entries.
Simple y bien// © GainzAlgo
//@version=5
indicator('GainzAlgo Pro', overlay=true, max_labels_count=500)
candle_stability_index_param = input.float(0.5, 'Candle Stability Index', 0, 1, step=0.1, group='Technical', tooltip='Candle Stability Index measures the ratio between the body and the wicks of a candle. Higher - more stable.')
rsi_index_param = input.int(50, 'RSI Index', 0, 100, group='Technical', tooltip='RSI Index measures how overbought/oversold is the market. Higher - more overbought/oversold.')
candle_delta_length_param = input.int(5, 'Candle Delta Length', 3, group='Technical', tooltip='Candle Delta Length measures the period over how many candles the price increased/decreased. Higher - longer period.')
disable_repeating_signals_param = input.bool(false, 'Disable Repeating Signals', group='Technical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity')
GREEN = color.rgb(29, 255, 40)
RED = color.rgb(255, 0, 0)
TRANSPARENT = color.rgb(0, 0, 0, 100)
label_size = input.string('normal', 'Label Size', options= , group='Cosmetic')
label_style = input.string('text bubble', 'Label Style', , group='Cosmetic')
buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic')
sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic')
label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic')
stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param
rsi = ta.rsi(close, 14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
bull = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
else if label_style == 'triangle'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
last_signal := 'buy'
if bear and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
if label_style == 'text bubble'
label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size)
last_signal := 'sell'
alertcondition(bull, 'BUY Signals', 'New signal: BUY')
alertcondition(bear, 'SELL Signals', 'New signal: SELL')
Macd and RSI % Change Signals Devis'SoLong Signal Strategy
RSI-Based Long Signals:
A long signal is triggered when the percentage change in RSI of the close price crosses over thresholds like 10 or 20.
Similarly, a long signal is triggered when the percentage change in RSI of the low price crosses over 20.
MACD-Based Long Signals:
A long signal is triggered when the MACD, its signal line, or the midpoint of the two crosses over thresholds such as 2, 3, 4, or 5.
When a long signal is triggered, the low of the corresponding candle is recorded as the "pullback level." This pullback level is displayed on the chart to help identify potential areas of support.
Short Signal Strategy
RSI-Based Short Signals:
A short signal is triggered when the percentage change in RSI of the low price crosses under -20.
Similarly, a short signal is triggered when the percentage change in RSI of the close price crosses under thresholds like -10 or -20.
MACD-Based Short Signals:
A short signal is triggered when the MACD, its signal line, or the midpoint of the two crosses under thresholds such as -2, -3, -4, or -5.
When a short signal is triggered, the high of the corresponding candle is recorded as the "pullback level." This pullback level is displayed on the chart to help identify potential areas of resistance.
Visualization
Signals:
Long signals are plotted as green upward triangles below the price bars.
Short signals are plotted as red downward triangles above the price bars.
Pullback Levels:
Long pullback levels are plotted as a green line below the price.
Short pullback levels are plotted as a red line above the price.
Alerts
Alerts are defined for specific signals, allowing traders to receive notifications when important levels are crossed, such as:
Long signal based on RSI or MACD changes.
Short signal based on RSI or MACD changes.
Monthly Performance by YearYıllar boyunca aylık ısı haritası
Tüm zamanların zirveye olan uzaklık
Tablo gösterimlerini kapat - aç
Etiket gösterimini kapat aç
___________________________________________
Monthly heatmap over the years
Distance to all-time peak
Close - open table display
Close label display open
EMA (Exponential Moving Avarage) Performance6 EMA değerini dilediğiniz gibi değiştirin
Hangi EMA'nın grafikte görüneceğini belirleyin
EMA değerinin fiyata olan uzaklığını tabloda görün
MFT değerini görün
Tabloyu açın yafa kapatın
____________________________________________
6 Change the EMA value as you wish
Determine which EMA will appear on the chart
See the distance of the EMA value from the price on the chart
See the MFT value
Open the chart and close it
Pivot Points S/R- Ashish SinghThis indicator is pivot based support and resistance.
modified with the necessary adjustment and setting as required to trade a swing trade.
You just need to apply on the chart.
This indicator will make your work easier for support and resistance
