Bollinger Bands Breakout Strategy by Finesseking27Bollinger Bands Breakout Strategy by Finesseking27
Индикаторы и стратегии
SMT Divergence + IFVG Strategy with Buy/Sell Signals//@version=6
indicator("SMT Divergence + IFVG Strategy with Buy/Sell Signals", overlay=true)
// Input parameters
higherTimeframe = input.timeframe("60", "Higher Timeframe") // Corrected timeframe to "60" for hourly
defaultStopLossPct = input.float(15.0, "Stop Loss %", step=0.1) // Updated to 15% stop loss
defaultTakeProfitPct = input.float(30.0, "Take Profit %", step=0.1) // Added 30% take profit percentage
// Retrieve higher timeframe trend
htfClose = request.security(syminfo.tickerid, higherTimeframe, close)
higherTrend = ta.ema(htfClose, 50) > ta.ema(htfClose, 200) // Higher timeframe bias: bullish if EMA50 > EMA200
// Custom Divergence Detection
rsiPeriod = input.int(14, "RSI Period")
rsi = ta.rsi(close, rsiPeriod)
lookback = input.int(5, "Divergence Lookback")
// Detect bullish divergence: Price makes a lower low, RSI makes a higher low
priceLow = ta.lowest(close, lookback)
pricePrevLow = ta.lowest(close , lookback)
rsiLow = ta.lowest(rsi, lookback)
rsiPrevLow = ta.lowest(rsi , lookback)
bullishDivergence = (priceLow < pricePrevLow) and (rsiLow > rsiPrevLow)
// Detect bearish divergence: Price makes a higher high, RSI makes a lower high
priceHigh = ta.highest(close, lookback)
pricePrevHigh = ta.highest(close , lookback)
rsiHigh = ta.highest(rsi, lookback)
rsiPrevHigh = ta.highest(rsi , lookback)
bearishDivergence = (priceHigh > pricePrevHigh) and (rsiHigh < rsiPrevHigh)
smtDiv = bullishDivergence or bearishDivergence
// Inverse Fair Value Gap (IFVG)
gapThreshold = input.float(0.5, "IFVG Threshold (%)", step=0.1)
priceChange = math.abs(close - close )
previousHigh = ta.valuewhen(priceChange > gapThreshold * close , high, 1)
previousLow = ta.valuewhen(priceChange > gapThreshold * close , low, 1)
ifvgZone = not na(previousHigh) and not na(previousLow) and (close > previousHigh or close < previousLow)
// Entry Signal
entryConditionBuy = higherTrend and bullishDivergence and ifvgZone
entryConditionSell = not higherTrend and bearishDivergence and ifvgZone
// Plotting Buy and Sell Signals
if entryConditionBuy
label.new(bar_index, high, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small)
stopLossLevel = close * (1 - defaultStopLossPct / 100)
takeProfitLevel = close * (1 + defaultTakeProfitPct / 100)
line.new(bar_index, stopLossLevel, bar_index + 1, stopLossLevel, color=color.red, width=1, extend=extend.right)
line.new(bar_index, takeProfitLevel, bar_index + 1, takeProfitLevel, color=color.green, width=1, extend=extend.right)
if entryConditionSell
label.new(bar_index, low, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small)
stopLossLevel = close * (1 + defaultStopLossPct / 100)
takeProfitLevel = close * (1 - defaultTakeProfitPct / 100)
line.new(bar_index, stopLossLevel, bar_index + 1, stopLossLevel, color=color.red, width=1, extend=extend.right)
line.new(bar_index, takeProfitLevel, bar_index + 1, takeProfitLevel, color=color.green, width=1, extend=extend.right)
// Alerts
alertcondition(entryConditionBuy, title="Buy Signal", message="Buy signal detected. Target 30%, Stop Loss 15%.")
alertcondition(entryConditionSell, title="Sell Signal", message="Sell signal detected. Target 30%, Stop Loss 15%.")
P/L CalculatorDescription of the P/L Calculator Indicator
The P/L Calculator is a dynamic TradingView indicator designed to provide traders with real-time insights into profit and loss metrics for their trades. It visualizes key levels such as entry price, profit target, and stop-loss, while also calculating percentage differences and net profit or loss, factoring in fees.
Features:
Customizable Input Parameters:
Entry Price: Define the starting price of the trade.
Profit and Stop-Loss Levels (%): Set percentage thresholds for targets and risk levels.
USDT Amount: Specify the trade size for precise calculations.
Trade Type: Choose between "Long" or "Short" positions.
Visual Representation:
Entry Price, Profit Target, and Stop-Loss levels are plotted as horizontal lines on the chart.
Line styles, colors, and thicknesses are fully customizable for better visibility.
Real-Time Metrics:
Percentage difference between the live price and the entry price is calculated dynamically.
Profit/Loss (P/L) and fees are computed in real time to display net profit or loss.
Alerts:
Alerts are triggered when:
The live price hits the profit target.
The live price crosses the stop-loss level.
The price reaches the specified entry level.
A user-defined percentage difference is reached.
Labels and Annotations:
Displays percentage difference, P/L, and fee information in a clear label near the live price.
Custom Fee Integration:
Allows input of trading fees (%), enabling accurate net profit or loss calculations.
Price Scale Visualization:
Displays the percentage difference on the price scale for enhanced context.
Use Case:
The P/L Calculator is ideal for traders who want to monitor their trades' performance and make informed decisions without manually calculating metrics. Its visual cues and alerts ensure you stay updated on critical levels and price movements.
This indicator supports a wide range of trading styles, including swing trading, scalping, and position trading, making it a versatile tool for anyone in the market.
Sentiment Proxy (Enhanced Version)"Sentiment Proxy" indicator is designed to enhance your trading decisions by combining the power of an Adaptive EMA with a momentum-based Sentiment Proxy. This dual-layer approach ensures you are well-informed about market conditions and can act decisively.
Key Features:
Adaptive EMA (RSI-based):
Dynamically adjusts to market conditions using RSI-based smoothing.
Helps identify short-term trends and turning points.
Sentiment Proxy (Momentum Analysis):
Calculates momentum and its moving average to evaluate market sentiment.
Divides the market into three zones:
Bullish Zone: Positive momentum (green background).
Bearish Zone: Negative momentum (red background).
Neutral Zone: No clear sentiment (yellow background).
Filtered Buy & Sell Signals:
Buy signals occur when the Adaptive EMA crosses above the comparison EMA during bullish momentum.
Sell signals occur when the Adaptive EMA crosses below the comparison EMA during bearish momentum.
How to Use:
Add the Indicator to Your Chart:
Apply the indicator to any timeframe and asset class.
Interpret the Zones:
Look at the background color for a quick sentiment overview:
Green: Market is bullish.
Red: Market is bearish.
Yellow: Market is neutral.
Monitor the Buy & Sell Signals:
Buy signals appear as green "B" labels below candles.
Sell signals appear as red "S" labels above candles.
Adjust Parameters:
Modify RSI Length, Smoothing Factor, Momentum Length, or Momentum SMA Length to fit your strategy.
Example Strategy:
Bullish Setup:
Wait for a buy signal with a green background.
Confirm the trend by ensuring the price is above the comparison EMA.
Bearish Setup:
Look for a sell signal with a red background.
Ensure the price is below the comparison EMA for confirmation.
SMT Divergence + IFVG StrategyTrading Schedule: They trade when the New York stock market session begins (a major time for activity in trading).
Determine a Direction (Bias): They start by looking at higher timeframes (like daily or 4-hour charts) to decide if the price is likely to go up (bullish) or down (bearish).
Zoom In for Details: Once they have a general idea of the market’s direction, they switch to lower timeframes (like 5-minute or 15-minute charts) to look for specific trading opportunities.
Look for Patterns:
SMT Divergence: This likely means they compare price movements across similar assets (or indices) to spot inconsistencies that suggest a potential reversal or continuation of trends.
Inverse Fair Value Gap: They identify gaps in price (on the chart) where the market may want to return or "fill in" before continuing in a certain direction.
Set an Entry Point: They wait for the price to "tap" into their identified level (like a support or resistance zone) before entering a trade.
Set a Target: Their goal is to target "resting liquidity," which means areas where other traders are likely placing stop-losses or take-profits, and use those as price movement goals.
Risk-to-Reward Ratio: For every trade, they aim to make 2 to 3 times the amount they’re risking (a 1:2 or 1:3 risk-to-reward ratio).
Win Rate: They win about 70% of their trades, which means most of their trades are profitable.
In short, they have a systematic approach where they identify a market trend, spot good entry opportunities based on patterns, and stick to a strategy with good risk management. Their success comes from consistency and discipline.
1h apertura de New_Yorkprobando apertura de new york ., miramos vela horaria anterior a la apertura y entramos en sentido contrario a esa vela.,
gestionamos stop loss y take proffit en % ., modificandolos en caso d eser necesario por activo
Adaptive Fibonacci ClusterThe Adaptive Fibonacci Cluster dynamically adjusts Fibonacci levels based on historical price ranges, identifying key support and resistance zones. It helps traders spot potential reversal points and strengthen their market analysis.
How to Use:
Support Levels: Look for price interactions near the lower Fibonacci clusters.
Resistance Levels: Watch for rejections around the upper Fibonacci clusters.
Dynamic Updates: The clusters adjust automatically to the latest price data, ensuring relevance in all market conditions.
Integrate this tool into your trading strategy to uncover hidden opportunities and boost confidence in decision-making.
PremiumDiscountLibraryLibrary "PremiumDiscountLibrary"
isInZone(currentTime, price, trend, tz)
Vérifie si le prix est en zone premium ou discount
Parameters:
currentTime (int) : L'heure actuelle (timestamp)
price (float) : Le prix actuel
trend (string) : La tendance ("bullish" ou "bearish")
tz (string) : Le fuseau horaire pour calculer les sessions (par défaut : "GMT+1")
Returns: true si le prix est dans la zone correcte, sinon false
Pivot Points Fibonacci and StandardTraditional and Fibonacci Pivot Points Formula:
Pivot Point (P) is calculated as the average of the previous period's High, Low, and Close prices:
P=(High+Low+Close)/3
Where:
High = High price of the previous period
Low = Low price of the previous period
Close = Close price of the previous period
Bollinger Bands color candlesThis Pine Script indicator applies Bollinger Bands to the price chart and visually highlights candles based on their proximity to the upper and lower bands. The script plots colored candles as follows:
Bullish Close Above Upper Band: Candles are colored green when the closing price is above the upper Bollinger Band, indicating strong bullish momentum.
Bearish Close Below Lower Band: Candles are colored red when the closing price is below the lower Bollinger Band, signaling strong bearish momentum.
Neutral Candles: Candles that close within the bands remain their default color.
This visual aid helps traders quickly identify potential breakout or breakdown points based on Bollinger Band dynamics.
Autonomous 5-Minute RobotKey Components of the Strategy:
Trend Detection:
A 50-period simple moving average (SMA) is used to define the market trend. If the current close is above the SMA, the market is considered to be in an uptrend (bullish), and if it's below, it's considered a downtrend (bearish).
The strategy also looks at the trend over the last 30 minutes (6 candles in a 5-minute chart). The strategy compares the previous close with the current close to detect an uptrend or downtrend.
Volume Analysis:
The strategy calculates buyVolume and sellVolume based on price movement within each candle.
The condition for entering a long position is when the market is in an uptrend, and the buy volume is greater than the sell volume.
The condition for entering a short position is when the market is in a downtrend, and the sell volume is greater than the buy volume.
Trade Execution:
The strategy enters a long position when the trend is up and the buy volume is higher than the sell volume.
The strategy enters a short position when the trend is down and the sell volume is higher than the buy volume.
Positions are closed based on stop-loss and take-profit conditions.
Stop-loss is set at 3% below the entry price.
Take-profit is set at 29% above the entry price.
Exit Conditions:
Long trades will be closed if the price falls 3% below the entry price or rises 29% above the entry price.
Short trades will be closed if the price rises 3% above the entry price or falls 29% below the entry price.
Visuals:
The SMA (50-period) is plotted on the chart to show the trend.
Buy and sell signals are marked with labels on the chart for easy identification.
With this being said this algo is still being worked on to be autonomous
Analyze the Market Direction: Determine whether the market is in an uptrend or downtrend over the past 30 minutes (using the last 6 candles in a 5-minute chart).
Use Trend Indicators and Volume: Implement trend-following indicators like moving averages or the SMA/EMA crossover and consider volume to decide when to enter or exit a trade.
Enter and Exit Trades: The robot will enter long positions when the trend is up and short positions when the trend is down. Additionally, it will close positions based on volume signals and price action (e.g., volume spikes, price reversals).
Pamplona Enhanced TP/SL ToggleableName: Pamplona Enhanced TP/SL Toggleable
Type: Strategy
Description:
This strategy introduces flexibility and innovation in managing Take Profit (TP) and Stop Loss (SL) levels, making it a valuable tool for traders. It offers three configurable modes: Tick-Based, Dollar-Based, and Risk-Reward Ratio-Based, allowing users to toggle between them based on trading preferences. The strategy combines robust technical indicators to identify optimal trade opportunities and improves reliability by entering trades only on the second signal.
Key Features:
TP/SL Modes:
Tick-Based: Uses a fixed number of ticks to calculate TP/SL.
Dollar-Based: Uses fixed dollar amounts for TP/SL.
Risk-Reward Ratio-Based: Calculates TP/SL based on a user-defined ratio.
The user can toggle one mode at a time for precise control.
Trade Logic:
Long Trades: Triggered when price trends above the 200 EMA, the Madrid Ribbon turns bullish, and price exceeds the Donchian Channel high. The trade is confirmed only after the second valid signal.
Short Trades: Triggered when price trends below the 200 EMA, the Madrid Ribbon turns bearish, and price breaks the Donchian Channel low. The trade is confirmed only after the second valid signal.
Dynamic Configuration:
Adjustable ticks, dollar amounts, and risk-reward ratios in the settings.
Allows users to define contract size and Donchian Channel length.
Originality and Usefulness:
This strategy enhances common trading methodologies by:
Offering a configurable multi-mode TP/SL system that adapts to diverse trading styles.
Using a confirmation-based entry system, which reduces false signals and increases reliability.
Combining widely used indicators (EMA, Madrid Ribbon, Donchian Channel) into a practical framework for trend-following strategies.
How to Use:
Set TP/SL Mode:
In the settings, enable only one mode (Tick-Based, Dollar-Based, or Risk-Reward).
Adjust relevant parameters for the selected mode (e.g., ticks, dollar values, or risk-reward ratio).
Customize Trade Settings:
Define the contract size and Donchian Channel period.
The default configuration is suited for swing trading but can be adapted to other timeframes.
Understand Trade Logic:
The background highlights potential long (green) and short (red) zones.
Long entries occur when all conditions align bullishly, confirmed on the second signal.
Short entries occur when all conditions align bearishly, confirmed on the second signal.
Review Backtesting Results:
Use realistic commission, slippage, and risk values.
Ensure settings align with your trading style and risk management rules.
Notes:
No repainting: The script operates entirely on historical and current data without lookahead bias.
Backtesting: Test the strategy across multiple assets and timeframes to ensure robustness.
Customizability: The toggling system and configurable parameters make this strategy highly adaptable.
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Volume Delta Filtered Overlay v1.1 by RamtraderbookVolume Delta Filtered Overlay v1.1 by Ramtraderbook
This indicator visually displays the volume delta directly on the price chart using colored circles. Its main goal is to highlight significant changes in the volume delta, categorizing them by direction and magnitude.
How It Works
1. Volume Delta Calculation
- Measures the difference between buying and selling volume on a lower time frame.
2. Threshold Filter
- Only displays data if the delta exceeds a minimum threshold set by the user.
3. Colors by Direction
- Bullish color: If the delta is positive (more buying).
- Bearish color: If the delta is negative (more selling).
4. Circle Placement
- Circles are placed above the candle for a positive delta and below the candle for a negative delta.
Customizable Inputs
- Delta Threshold: Defines the minimum delta value that will be plotted.
- Customizable Colors: Allows you to set different colors for positive and negative delta circles.
- **Lower Time Frame**: Scans data on a lower time frame for greater accuracy.
Important Note on Data
TradingView does not handle market depth data such as order book information. The volume delta calculation is an approximation based on the asset’s volume and price behavior. This means it does not precisely reflect the actual flow of buy or sell orders in the market, but rather an estimate derived from available data.
Conclusion
The **Volume Delta Filtered Overlay v1.1 by Ramtraderbook** is a visual tool that helps quickly identify significant buy or sell volume movements, making it ideal for strategies that rely on order flow analysis. However, it is recommended to combine it with other tools for a more comprehensive analysis.
Volume Delta Filtered v1.1 by RamtraderbookIndicator Explanation: Volume Delta_RTB (Filtered)
General Description
The Volume Delta_RTB (Filtered) indicator is designed to analyze the volume delta of a financial asset and highlight only significant changes based on a configured threshold. This indicator is useful for detecting moments when buying volume exceeds selling volume (or vice versa), providing a clear view of market pressure.
What is Volume Delta?
Volume delta measures the difference between buying and selling volume over a given time period. A positive delta indicates that buying prevails over selling, while a negative delta indicates the opposite.
Indicator Inputs
The indicator has several customizable parameters to suit the user’s needs:
1. Volume Delta Threshold
- Allows you to set a minimum volume delta value.
- Only indicator values that exceed this absolute delta threshold will be displayed.
- Default value: 100,000.
2. Use of a Lower Time Frame
- Option to analyze data from a lower time frame than the main chart.
Operating Logic
1. Selection of the Lower Time Frame
- The indicator scans data from a lower time frame to accurately calculate the volume delta.
- By default, it automatically selects an appropriate lower time frame, though it can be set manually.
2. Calculation of Volume Delta
- Using the `ta.requestVolumeDelta` function, the indicator calculates:
- Volume delta at the start of the period (`openVolume`).
- Maximum delta (`maxVolume`).
- Minimum delta (`minVolume`).
- Last recorded delta (`lastVolume`).
3. Filtering Values
- If the absolute value of `lastVolume` (the last volume delta) is below the configured threshold (`deltaThreshold`), the data will not be displayed on the chart.
- This allows the indicator to highlight only significant movements, avoiding unnecessary noise.
4. Visualization
- Volume delta is represented by candles to facilitate interpretation:
- Yellow candles for positive delta (buying prevails).
- Pink candles for negative delta (selling prevails).
- A horizontal line at `0` serves as a reference.
- Colors can be configured as needed.
5. Data Validation
- If the data provider does not provide volume information for the asset, the indicator will display an error message.
Indicator Advantages
- Efficient Filtering: Focus on the most relevant movements in terms of volume, ignoring small or insignificant values.
- Adaptable: Offers customization options for both the delta threshold and the time frame.
- Clear Visualization: Colored candles make it easier to spot dominant buying or selling trends.
NOTE:
- Estimated Delta Data: Since TradingView does not have access to market depth data or an exact breakdown of buying and selling volume, the delta calculations are approximations based on price and volume behavior.
- Data Provider Dependency: Some assets or instruments may not have volume information available, limiting the indicator’s use.
GainzAlgo Pro// © 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(true, '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
bearish_engulfing = close > open and close < open and close < open
rsi_above = rsi > 100 - rsi_index_param
increase_over = close > close
bear = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed
var last_signal = ''
if bull and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true)
if label_style == 'text bubble'
label.new(bull ? bar_index : na, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size)
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')
Bearish Candlestick Patterns (Patrones de velas Bajista)English
Bearish Candlestick Patterns Indicator
The "Bearish Candlestick Patterns" indicator is designed to identify and highlight key bearish candlestick patterns directly on your chart. This tool is highly beneficial for traders looking to spot potential trend reversals or bearish continuations in various markets, including forex, stocks, and cryptocurrencies. The indicator is built using Pine Script version 6 and includes several customizable options to adapt to your trading strategy.
Features:
Detects a variety of bearish candlestick patterns, including:
Evening Star
Bearish Engulfing
Shooting Star
Three Black Crows
Dark Cloud Cover
Hanging Man
Gravestone Doji
Trend Analysis: Automatically identifies uptrends or downtrends using SMA50 or SMA200 as references, or allows manual trend detection.
Alerts: Sends notifications when a new bearish pattern is detected, ensuring you never miss an opportunity.
Customizable Parameters: Fine-tune the detection settings, including shadow percentage, average body length, and trend rules.
Visual Representation: Patterns are labeled on the chart with clear tooltips for detailed explanations.
Who is it for? This indicator is ideal for traders at all levels who want to improve their technical analysis by integrating bearish candlestick patterns into their strategies. Whether you trade manually or use automated systems, this tool provides valuable insights into market trends and potential reversals.
Español
Indicador de Patrones de Velas Bajistas
El indicador "Patrones de Velas Bajistas" está diseñado para identificar y resaltar patrones clave de velas bajistas directamente en tu gráfico. Esta herramienta es altamente útil para traders que buscan detectar posibles reversas de tendencia o continuaciones bajistas en diversos mercados, incluyendo forex, acciones y criptomonedas. El indicador está desarrollado con Pine Script versión 6 y ofrece múltiples opciones personalizables para adaptarse a tu estrategia de trading.
Características:
Detecta una variedad de patrones de velas bajistas, incluyendo:
Estrella Vespertina (Evening Star)
Envuelven Bajista (Bearish Engulfing)
Estrella Fugaz (Shooting Star)
Tres Cuervos Negros (Three Black Crows)
Cubierta de Nube Oscura (Dark Cloud Cover)
Hombre Colgado (Hanging Man)
Doji Lápida (Gravestone Doji)
Análisis de Tendencia: Identifica automáticamente tendencias alcistas o bajistas utilizando las medias SMA50 o SMA200 como referencia, o permite detección manual de tendencia.
Alertas: Envía notificaciones cuando se detecta un nuevo patrón bajista, asegurándote de no perder oportunidades.
Parámetros Personalizables: Ajusta la configuración de detección, incluyendo porcentaje de sombras, longitud promedio del cuerpo, y reglas de tendencia.
Representación Visual: Los patrones son etiquetados en el gráfico con tooltips claros que ofrecen explicaciones detalladas.
¿Para quién es? Este indicador es ideal para traders de todos los niveles que deseen mejorar su análisis técnico integrando patrones de velas bajistas en sus estrategias. Ya sea que operes manualmente o utilices sistemas automatizados, esta herramienta ofrece valiosos insights sobre tendencias de mercado y posibles reversas.
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Moving Average with Std DeviationsUse this script to do multiple things.
1) If the pricing is extended (close to 2nd and 3rd deviation) on Day chart
2) On intraday chart the extension is identified too the same way as above.
3) If you are Long and the price is dropping and is crossing 1 and 2nd deviation. Get out. This should be your drop dead stop loss.
Hope this helps.
Thanks.
Pivot Points Standard With LabelsThis Pine Script code calculates Support and Resistance levels using Pivot Points, which are widely used in technical analysis for identifying potential price levels where the market might reverse direction. The methodology is based on two different calculation approaches: Traditional Pivot Points and Fibonacci Pivot Points. Here's an overview of the methodology:
Traditional and Fibonacci Pivot Points Formula:
Pivot Point (P) is calculated as the average of the previous period's High, Low, and Close prices:
P=(High+Low+Close)/3
where:
H = High price of the previous period
L = Low price of the previous period
C = Close price of the previous period
Resistance 1 (R1):
R1=P+0.382×(H−L)
Support 1 (S1):
S1=P−0.382×(H−L)
Resistance 2 (R2):
R2=P+0.618×(H−L)
Support 2 (S2):
S2=P−0.618×(H−L)
Resistance 3 (R3):
S2=P−0.618×(H−L)
R3=P+(H−L)
Support 3 (S3):
R3=P+(H−L)
S3=P−(H−L)
Pamplona Enhanced TP/SL ToggleableName: Pamplona Enhanced TP/SL Toggleable
Type: Strategy
Description:
This strategy introduces flexibility and innovation in managing Take Profit (TP) and Stop Loss (SL) levels, making it a valuable tool for traders. It offers three configurable modes: Tick-Based, Dollar-Based, and Risk-Reward Ratio-Based, allowing users to toggle between them based on trading preferences. The strategy combines robust technical indicators to identify optimal trade opportunities and improves reliability by entering trades only on the second signal.
Key Features:
TP/SL Modes:
Tick-Based: Uses a fixed number of ticks to calculate TP/SL.
Dollar-Based: Uses fixed dollar amounts for TP/SL.
Risk-Reward Ratio-Based: Calculates TP/SL based on a user-defined ratio.
The user can toggle one mode at a time for precise control.
Trade Logic:
Long Trades: Triggered when price trends above the 200 EMA, the Madrid Ribbon turns bullish, and price exceeds the Donchian Channel high. The trade is confirmed only after the second valid signal.
Short Trades: Triggered when price trends below the 200 EMA, the Madrid Ribbon turns bearish, and price breaks the Donchian Channel low. The trade is confirmed only after the second valid signal.
Dynamic Configuration:
Adjustable ticks, dollar amounts, and risk-reward ratios in the settings.
Allows users to define contract size and Donchian Channel length.
Originality and Usefulness:
This strategy enhances common trading methodologies by:
Offering a configurable multi-mode TP/SL system that adapts to diverse trading styles.
Using a confirmation-based entry system, which reduces false signals and increases reliability.
Combining widely used indicators (EMA, Madrid Ribbon, Donchian Channel) into a practical framework for trend-following strategies.
How to Use:
Set TP/SL Mode:
In the settings, enable only one mode (Tick-Based, Dollar-Based, or Risk-Reward).
Adjust relevant parameters for the selected mode (e.g., ticks, dollar values, or risk-reward ratio).
Customize Trade Settings:
Define the contract size and Donchian Channel period.
The default configuration is suited for swing trading but can be adapted to other timeframes.
Understand Trade Logic:
The background highlights potential long (green) and short (red) zones.
Long entries occur when all conditions align bullishly, confirmed on the second signal.
Short entries occur when all conditions align bearishly, confirmed on the second signal.
Review Backtesting Results:
Use realistic commission, slippage, and risk values.
Ensure settings align with your trading style and risk management rules.
Notes:No repainting: The script operates entirely on historical and current data without lookahead bias.
Backtesting: Test the strategy across multiple assets and timeframes to ensure robustness.
Customizability: The toggling system and configurable parameters make this strategy highly adaptable.
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Trading Toolkit (Michaël van de Poppe) [BigBeluga]Trading Toolkit is a comprehensive indicator inspired by the trading strategies of the renowned crypto influencer Michaël van de Poppe. This tool combines RSI divergences, correction zones, and advanced support/resistance levels to provide traders with a robust framework for analyzing market movements.
🔵Key Features:
RSI Divergences on Chart:
Automatically identifies and plots RSI divergences (bullish and bearish) directly on the main price chart.
Green lines indicate bullish divergences, suggesting potential upward reversals.
Red lines indicate bearish divergences, signaling possible downward movements.
Forex Hammer and Hanging Man StrategyThe strategy is based on two key candlestick chart patterns: Hammer and Hanging Man. These chart patterns are widely used in technical analysis to identify potential reversal points in the market. Their relevance in the Forex market, known for its high liquidity and volatile price movements, is particularly pronounced. Both patterns provide insights into market sentiment and trader psychology, which are critical in currency trading, where short-term volatility plays a significant role.
1. Hammer:
• Typically occurs after a downtrend.
• Signals a potential trend reversal to the upside.
• A Hammer has:
• A small body (close and open are close to each other).
• A long lower shadow, at least twice as long as the body.
• No or a very short upper shadow.
2. Hanging Man:
• Typically occurs after an uptrend.
• Signals a potential reversal to the downside.
• A Hanging Man has:
• A small body, similar to the Hammer.
• A long lower shadow, at least twice as long as the body.
• A small or no upper shadow.
These patterns are a manifestation of market psychology, specifically the tug-of-war between buyers and sellers. The Hammer reflects a situation where sellers tried to push the price down but were overpowered by buyers, while the Hanging Man shows that buyers failed to maintain the upward movement, and sellers could take control.
Relevance of Chart Patterns in Forex
In the Forex market, chart patterns are vital tools because they offer insights into price action and market sentiment. Since Forex trading often involves large volumes of trades, chart patterns like the Hammer and Hanging Man are important for recognizing potential shifts in market momentum. These patterns are a part of technical analysis, which aims to forecast future price movements based on historical data, relying on the psychology of market participants.
Scientific Literature on the Relevance of Candlestick Patterns
1. Behavioral Finance and Candlestick Patterns:
Research on behavioral finance supports the idea that candlestick patterns, such as the Hammer and Hanging Man, are relevant because they reflect shifts in trader psychology and sentiment. According to Lo, Mamaysky, and Wang (2000), patterns like these could be seen as representations of collective investor behavior, influenced by overreaction, optimism, or pessimism, and can often signal reversals in market trends.
2. Statistical Validation of Chart Patterns:
Studies by Brock, Lakonishok, and LeBaron (1992) explored the profitability of technical analysis strategies, including candlestick patterns, and found evidence that certain patterns, such as the Hammer, can have predictive value in financial markets. While their study primarily focused on stock markets, their findings are generally applicable to the Forex market as well.
3. Market Efficiency and Candlestick Patterns:
The efficient market hypothesis (EMH) posits that all available information is reflected in asset prices, but some studies suggest that markets may not always be perfectly efficient, allowing for profitable exploitation of certain chart patterns. For instance, Jegadeesh and Titman (1993) found that momentum strategies, which often rely on price patterns and trends, could generate significant returns, suggesting that patterns like the Hammer or Hanging Man may provide a slight edge, particularly in short-term Forex trading.
Testing the Strategy in Forex Using the Provided Script
The provided script allows traders to test and evaluate the Hammer and Hanging Man patterns in Forex trading by entering positions when these patterns appear and holding the position for a specified number of periods. This strategy can be tested to assess its performance across different currency pairs and timeframes.
1. Testing on Different Timeframes:
• The effectiveness of candlestick patterns can vary across different timeframes, as market dynamics change with the level of detail in each timeframe. Shorter timeframes may provide more frequent signals, but with higher noise, while longer timeframes may produce more reliable signals, but with fewer opportunities. This multi-timeframe analysis could be an area to explore to enhance the strategy’s robustness.
2. Exit Strategies:
• The script incorporates an exit strategy where positions are closed after holding them for a specified number of periods. This is useful for testing how long the reversal patterns typically take to play out and when the optimal exit occurs for maximum profitability. It can also help to adjust the exit logic based on real-time market behavior.
Conclusion
The Hammer and Hanging Man patterns are widely recognized in technical analysis as potential reversal signals, and their application in Forex trading is valuable due to the market’s high volatility and liquidity. This strategy leverages these candlestick patterns to enter and exit trades based on shifts in market sentiment and psychology. Testing and optimization, as offered by the script, can help refine the strategy and improve its effectiveness.
For further refinement, it could be valuable to consider combining candlestick patterns with other technical indicators or using multi-timeframe analysis to confirm patterns and increase the probability of successful trades.
References:
• Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation. The Journal of Finance, 55(4), 1705-1770.
• Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. The Journal of Finance, 47(5), 1731-1764.
• Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65-91.
This provides a theoretical basis for the use of candlestick patterns in trading, supported by academic literature and research on market psychology and efficiency.
BTCUSDT with bullish_entryAs an experienced crypto day trader, it's essential to analyze current market conditions, historical data, and emerging trends to identify optimal trading opportunities. With a capital of 200 USDT, focusing on liquid assets with significant volatility can enhance profitability. Below is a comprehensive analysis of selected cryptocurrencies, including recent price action, technical indicators, and relevant news, followed by recommended entry points, stop-loss levels, and target prices.
1. Bitcoin (BTC)
Current Price: $75,690
Recent Price Action: Bitcoin has surged to record highs, recently reaching $75,000, influenced by favorable political developments and increased institutional interest.
THE SUN
Technical Indicators:
Relative Strength Index (RSI): Currently at 70, indicating overbought conditions.
Moving Averages: The 50-day moving average is at $68,000, and the 200-day moving average is at $60,000, showing a strong upward trend.
News Impact: The recent U.S. election results have positively impacted Bitcoin's price, with expectations of a more crypto-friendly regulatory environment.
INVESTOPEDIA
Trading Strategy:
Entry Point: $74,500
Stop-Loss: $73,000
Target Price: $78,000
2. Ethereum (ETH)
Current Price: $2,918.96
Recent Price Action: Ethereum has experienced a significant rise, correlating with Bitcoin's upward movement and increased activity in decentralized finance (DeFi) platforms.
Technical Indicators:
RSI: At 65, approaching overbought territory.
Moving Averages: The 50-day moving average is at $2,500, and the 200-day moving average is at $2,200, indicating a bullish trend.
News Impact: The growth of DeFi and non-fungible tokens (NFTs) continues to drive demand for Ethereum.
Trading Strategy:
Entry Point: $2,900
Stop-Loss: $2,800
Target Price: $3,100
3. Solana (SOL)
Current Price: $201.40
Recent Price Action: Solana has shown strong performance, reaching new highs, driven by its scalability and growing ecosystem.
Technical Indicators:
RSI: At 72, indicating overbought conditions.
Moving Averages: The 50-day moving average is at $180, and the 200-day moving average is at $150, reflecting a strong uptrend.
News Impact: Increased adoption of Solana's blockchain for DeFi projects and NFTs has contributed to its price surge.
