IndicadorGH EVC v1 [Bielhpp]//@version=6
//Desenvolvido por Bielhpp Indicador Ponto de Entrada em tendencia
indicator(title='IndicadorGH EVC v1 ', overlay=true)
Bars = input.int(defval=8, title="Bars", minval=1, maxval=21, step=1)
MaxPercStop = input.int(defval=20, title="Max Percentual Stop", minval=1)
highValue = ta.highest(high, Bars + 1)
lowValue = ta.lowest(low, Bars + 1)
ColorUP = input.color(#66D8D8, "Buy")
ColorDown = input.color(#F2CC0D, "Sell")
ema9 = ta.ema(close, 9)
sma10 = ta.sma(close, 10)
ema27 = ta.ema(close, 27)
ema57 = ta.ema(close, 57)
ema200 = ta.ema(close, 200)
ema400 = ta.ema(close, 400)
plot(ema9, color=#fffeb4, title="9", linewidth=1)
plot(ema27, color=#1927bf, title="27", linewidth=2)
plot(ema200, color=#2CFFFE, title="200", linewidth=3)
plot(ema400, color=#FC28FC, title="400", linewidth=3)
crossUP = ta.crossover(ema27, ema57)
crossDOWN = ta.crossunder(ema27, ema57)
plotshape(series=crossUP ? ema27 : na, location=location.belowbar, color=#43f16c, style=shape.triangleup, text="BUY")
plotshape(series=crossDOWN ? ema27 : na, location=location.abovebar, color=color.rgb(241, 50, 50), style=shape.triangledown, text="SELL")
plot(ema27, color=color.blue)
plot(ema57, color=color.orange)
crossUPMAX = ta.crossover(ema9, ema400)
crossDOWNMAX = ta.crossunder(ema9, ema400)
plotshape(series=crossUPMAX ? ema9 : na, location=location.belowbar, color=#43f16c, style=shape.triangleup, text="MAX_BUY")
plotshape(series=crossDOWNMAX ? ema9 : na, location=location.abovebar, color=color.rgb(241, 50, 50), style=shape.triangledown, text="MAX_SELL")
// Configurar alertas para os cruzamentos
if (crossUPMAX)
alert("Alerta: Condição MAX_BUY foi ativada! Verifique o gráfico.", alert.freq_once_per_bar)
if (crossDOWNMAX)
alert("Alerta: Condição MAX_SELL foi ativada! Verifique o gráfico.", alert.freq_once_per_bar)
bUP = false
bDown = false
bDestaque = false
fTexto(vMsg, vTrigger, vStop, percStop) =>
syminfo.tickerid + ' ' + timeframe.period + vMsg + str.tostring(vTrigger) + ' Stop: ' + str.tostring(vStop + syminfo.mintick) + ' (' + str.tostring(percStop, format.percent) + ')'
if (sma10 >= sma10 ) and (open < sma10 ) and ((close > sma10) and (ema27 > ema57))
vStop = high - lowValue
pStop = vStop / high * 100
bUP := true
if pStop <= MaxPercStop
alert(fTexto((bDestaque ? ': *** DESTAQUE COMPRA *** ' : ': Compra: '), high, lowValue, pStop), alert.freq_once_per_bar_close)
if (sma10 <= sma10 ) and (open > sma10 ) and ((close < sma10) and (ema27 < ema57))
vStop = highValue - low
pStop = vStop / low * 100
bDown := true
if pStop <= MaxPercStop
alert(fTexto((bDestaque ? ': *** DESTAQUE VENDA *** ' : ': Venda: '), low, highValue, pStop), alert.freq_once_per_bar_close)
barcolor(bUP ? ColorUP : bDown ? ColorDown : na)
Wskaźniki i strategie
Strong Buy/Sell with Demand/Supply and Volume HighlightStrong Buy/Sell with Demand/Supply and Volume Highlight
This indicator combines key technical elements to provide traders with robust buy and sell signals while highlighting significant market zones and volume trends. It's designed for traders seeking clarity and precision in their decision-making process.
Features:
Dynamic Buy/Sell Signals:
Utilizes the crossover of a fast EMA (default: 9) and a slow EMA (default: 21) to generate reliable buy and sell signals.
Buy signals are marked with green upward labels, while sell signals are marked with red downward labels.
Demand and Supply Zone Detection:
Automatically plots demand (support) and supply (resistance) zones based on recent price movements when buy or sell signals are triggered.
Zones are visually marked with lines for quick identification of key price levels.
Volume Analysis:
Highlights candles with high volume relative to the average 20-period volume (adjustable via the volume multiplier input).
High-volume bullish candles are marked green, and bearish candles are marked red, allowing traders to spot significant market activity instantly.
Inputs:
EMA Periods: Customizable fast and slow EMA settings to adjust signal sensitivity.
Demand/Supply Zones: Option to toggle the visibility of demand and supply levels.
Volume Multiplier: Control the threshold for detecting high-volume candles.
How to Use:
Buy Opportunities: Look for buy signals when the fast EMA crosses above the slow EMA, supported by demand zones and high volume.
Sell Opportunities: Observe sell signals when the fast EMA crosses below the slow EMA, reinforced by supply zones and bearish high-volume candles.
Combine this indicator with your trading strategy to enhance decision-making and improve trade timing.
This indicator is suitable for multiple timeframes and markets, making it a versatile tool for scalpers, day traders, and swing traders.
Super Trader by CryptoMitchXDocumentation for "Super Trader by CryptoMitchX"
This indicator combines two powerful trading tools: a swing trading system and a liquidity level detector. Below are strategies, optimization tips, and best practices for using this script effectively on TradingView.
Key Features:
Swing Trader:
Moving averages (MA50 and MA100) to identify trends.
Heiken Ashi style bars for smoothing price action.
SuperTrend indicator for generating delayed buy/sell signals to reduce noise and false signals.
Liquidity Levels:
Detects and visualizes bullish and bearish liquidity zones.
Allows users to choose between "Wicks Only," "Breaks & Retests," or a combined mode.
Configurable zone extension to see how long a zone remains valid.
Strategies for Use:
Trend Following:
Use the MA50 and MA100 to determine the overall trend direction.
Uptrend: MA50 is above MA100.
Downtrend: MA50 is below MA100.
Enter trades in the direction of the trend when buy/sell signals align with liquidity levels.
Liquidity Zone Interaction:
Watch for price interactions with identified liquidity zones.
Bullish Zone: Look for buy signals near bullish zones.
Bearish Zone: Look for sell signals near bearish zones.
Combine this with Heiken Ashi bars to confirm strong momentum before entering trades.
SuperTrend Signals:
Delayed buy/sell signals reduce overtrading and help capture stronger market moves.
Use these signals as confirmation rather than standalone triggers.
Optimization Ideas:
Adjust Swing Sensitivity:
The default swing length is set to 5. Increase it (e.g., to 7-10) for higher timeframes to focus on major price pivots.
Customize Zone Behavior:
Use the "Extend Zones" option to track long-lasting zones and assess market structure.
Adjust the "Maximum Zone Bars" parameter to manage clutter and maintain relevance.
Fine-Tune SuperTrend:
Modify the ATR Period and Factor settings to suit your preferred trading timeframe.
Lower ATR: More reactive to price changes.
Higher Factor: Reduces noise and false signals.
Use Volume Data:
Pay attention to the volume histogram. Zones with high-volume interactions are more significant and likely to hold as support or resistance.
Tips for Buying and Selling:
Buying:
Look for buy signals when price interacts with bullish liquidity zones and the MA50 is above MA100.
Confirm upward momentum with Heiken Ashi candles and high volume.
Use the delayed buy signal to ensure the market has committed to the move.
Selling:
Look for sell signals when price interacts with bearish liquidity zones and the MA50 is below MA100.
Confirm downward momentum with Heiken Ashi candles and increasing volume.
Wait for delayed sell signals to reduce false exits in a volatile market.
Additional Notes:
This indicator is best used on higher timeframes (e.g., 1H, 4H, or Daily) to reduce noise.
Combine with other indicators (e.g., RSI or MACD) for additional confirmation.
Always test and refine settings using the "Replay" mode on TradingView to optimize for your trading style.
Gaussian Channel Strategy v3.0 - CAFGaussian channel strategy using stochastic RSI to mark buy and sell
Trend Retest Strategy1. The Two Lines: Support & Resistance Levels
Red Line (recentHigh):
Plots the highest price level over the last 7 days (42 bars on the 4-hour timeframe). This acts as a dynamic resistance level.
Example: If price approaches this line and reverses, it signals a potential resistance retest.
Green Line (recentLow):
Plots the lowest price level over the last 7 days (42 bars on 4H). This acts as a dynamic support level.
Example: If price bounces off this line, it signals a support retest.
These lines update automatically as new price data forms.
Why 42 bars?
4-hour chart = 6 bars per day (24 hours / 4 = 6).
6 bars/day × 7 days = 42 bars.
2. Entry Signals (Arrows)
The arrows appear when all your strategy’s conditions align:
For Long Entries (▲ Green Triangle Below Bar):
Daily Trend: Daily RSI ≥ 50 (bullish).
MA Crossover: 20-period SMA crosses above 50-period SMA on the 4H chart.
RSI Confirmation: 4H RSI is ≥ 50 and rising (bullish momentum).
Retest: Price is within 0.5% of either the recentHigh (resistance) or recentLow (support).
Volume: Current volume > 20-period average volume.
Candle Confirmation: A bullish candle closes above the open.
For Short Entries (▼ Red Triangle Above Bar):
Daily Trend: Daily RSI < 50 (bearish).
MA Crossover: 20-period SMA crosses below 50-period SMA on the 4H chart.
RSI Confirmation: 4H RSI is ≤ 50 and falling (bearish momentum).
Retest: Price is near recentHigh or recentLow (same 0.5% threshold).
Volume: Volume exceeds its 20-period average.
Candle Confirmation: A bearish candle closes below the open.
3. How It All Fits Together
Step 1: The indicator checks the daily RSI to confirm the broader trend.
Step 2: On the 4H chart, it tracks the moving averages (MA20 and MA50) and RSI for momentum.
Step 3: When price retests the dynamic support/resistance lines (red/green), it waits for volume and candle confirmation to validate the retest.
Step 4: If all rules align, an arrow appears (long or short).
Example Scenario (Long Entry):
Daily Chart: RSI = 60 (bullish).
4H Chart:
MA20 crosses above MA50.
RSI = 55 and rising.
Price dips to the green support line (within 0.5%).
Volume spikes above average.
A bullish candle closes higher.
Result: A green ▲ appears below the bar.
Directional Movement Index - CAFDirectional Movement Index with improved color pattern and 25 point horizontal line
Simple Swing Trader by CryptoMitchX How to Use the Simple Swing Trader by CryptoMitchX
How to Use:
The Simple Swing Trader indicator combines multiple tools to help you identify potential trading opportunities:
Moving Averages (MA 50 & MA 100): These are plotted as yellow and purple lines on the chart. Use these to determine trend direction and crossovers for potential trend changes.
Heiken Ashi Bars: Displayed with volume-based coloring for smoother visualization of trends. Look for changes in bar colors to identify potential shifts in momentum.
SuperTrend Buy/Sell Signals: Labels are placed on the chart to indicate "BUY" or "SELL" opportunities based on the SuperTrend calculation. Green labels signify potential buy zones, and red labels signify potential sell zones.
Volume Histogram: Shown in a separate pane, this provides an adjustable view of market activity. Use the "Volume Histogram Base Multiplier" input to customize its display.
Customization: All elements are editable for your trading preferences. Adjust colors, timeframes, and parameters as needed.
Features:
Multi-Tool Integration:
Combines trend-following, momentum-based, and volume-focused tools in one indicator.
SuperTrend Signals: Generates clear "BUY" and "SELL" labels to assist decision-making.
Heiken Ashi Visualization: Reduces noise and smoothens price data for better clarity.
Customizable Settings: Fully adjustable parameters to suit different trading styles and assets.
Volume Insights: An adaptable histogram that reflects market participation and activity.
Suggested Modifications
Alert Integration: Add alert conditions for BUY and SELL signals to receive real-time notifications.
Dynamic Color Customization: Enable dynamic coloring based on additional indicators, like RSI or MACD.
Optimization for Specific Assets: Fine-tune ATR and factor settings to align with the behavior of specific markets (e.g., crypto, forex, stocks).
Additional Indicators: Consider incorporating a momentum oscillator to enhance confirmation of trade setups.
This indicator is designed to work on any timeframe and asset. Experiment with different settings to optimize it for your trading strategy.
The Code
//@version=6
indicator("Simple Swing Trader by CryptoMitchX", overlay=true)
// Define moving averages
length50 = 50
length100 = 100
ma50 = ta.sma(close, length50)
ma100 = ta.sma(close, length100)
// Plot moving averages with specified colors and thickness
plot(ma50, title="MA 50", color=color.new(color.yellow, 0), linewidth=2)
plot(ma100, title="MA 100", color=color.new(color.purple, 0), linewidth=8)
// Moving Average Crosses
var float last_ma50 = na
var float last_ma100 = na
if (not na(ma50) and not na(ma100))
last_ma50 := ma50
last_ma100 := ma100
// Heiken Ashi style bars with volume-based coloring
ha_open = request.security(syminfo.tickerid, timeframe.period, math.avg(close , open ))
ha_close = math.avg(close, open, high, low)
ha_high = math.max(high, ha_open, ha_close)
ha_low = math.min(low, ha_open, ha_close)
var float last_volume = na
current_volume = volume
// Using plot for bar color indication without specifying color
plot(ha_close, title="HA Close", color=color.new(color.blue, 0), display=display.all, editable=true)
last_volume := current_volume
// Super Trend calculations for labels (but not plotting the line)
atrPeriod = 10
factor = 3.0
src = close
atr = ta.atr(atrPeriod)
upperband = src - (factor * atr)
lowerband = src + (factor * atr)
supertrend = na(upperband) ? na : upperband
supertrend := close > nz(supertrend ) ? math.max(upperband, nz(supertrend )) : math.min(lowerband, nz(supertrend ))
// Buy/Sell signals for SuperTrend with color (labels without plotting the line)
if (supertrend < nz(supertrend ))
label.new(bar_index, low, "BUY", color=color.new(color.green, 0), textcolor=color.new(color.black, 0), size=size.small)
if (supertrend > nz(supertrend ))
label.new(bar_index, high, "SELL", color=color.new(color.red, 0), textcolor=color.new(color.black, 0), size=size.small)
// Define histbase as an input
histbase_value = input.float(0.1, title="Volume Histogram Base Multiplier", minval=0.01, maxval=1, step=0.01)
// Display volume in a separate pane with modifications
plot(volume * histbase_value, title="Volume", color=color.new(color.white, 0), style=plot.style_histogram, linewidth=3, histbase=0, display=display.all)
[GrandAlgo] Candlestick ThemesTransform your TradingView charts with Candlestick Themes, an indicator that customizes candlestick colors using a variety of stunning themes. Whether you’re seeking improved clarity, enhanced personalization, or a fresh visual appeal, this indicator has something for everyone.
Key Features
This indicator offers a wide selection of pre-defined themes:
TradingView Default: The classic, familiar look of TradingView charts.
GrandAlgo: Our exclusive brand theme, blending vibrancy and professionalism for an exceptional charting experience.
MetaTrader-Inspired Themes: Green on Black, Yellow on Black, and Black on White, designed to replicate the iconic MetaTrader aesthetics.
Green Black: A calming and balanced theme for focused trading.
Darkblue Red: A bold and impactful combination with rich tones.
Darkblue Black: A subtle, sleek palette perfect for minimalists.
Lightblue Red: A mix of warm and cool tones for balanced visuals.
Lightblue Red (Gradient): Adds smooth transitions for a modern feel.
Lightblue Black: Crisp and clean for improved readability.
Crimson to Calm: A gradient theme transitioning from bold to tranquil tones.
Robinhood: Inspired by the clean and vibrant look of the popular trading platform.
Warm & Cool Harmony: A seamless blend of warm and cool tones.
Valentine: Passionate reds and pinks for a romantic visual.
Christmas: Festive greens and reds to match the holiday spirit.
Grapes: A playful mix of purples and greens.
Desert: Warm, sandy hues inspired by desert landscapes.
Real Madrid: A sporty theme with iconic colors for fans.
This indicator ensures seamless integration with TradingView charts, offering personalized trading experience. Whether you're a seasoned trader or just starting, these themes will make your charts both functional and visually appealing.
TIME & PRICE THEORY BY ICT ADVANCEDHello
indicator designed and developed by Viper them in ICT Advance channel.
This indicator has some ICT concepts.
This indicator shows daily kil zones along with high and low.
Dynamic Price Change Percentage TrackerSet price in plugin's configuration and watch the percentage change between the configured price and the current ticker's price.
Zero Lag Trend Signals with BacktestThis indicator is designed to identify trend direction and potential entry points using a Zero-Lag Exponential Moving Average (ZLEMA) combined with dynamic volatility bands. It provides multi-timeframe (MTF) analysis, allowing you to monitor trends across different timeframes simultaneously. The indicator also includes a back testing range feature, enabling you to evaluate its historical performance over a specific period.
New intraday high with weak barStrategy Logic:
The strategy checks if the current bar’s high is the highest high of the last 10 bar and if internal bar strength is less than 0.15.
Position is closed when close is greater than the previous bar’s high.
When a position is open, the script applies a light green background on the chart to signal that you are in a trade.
Moon Phases by Shailesh DesaiTrading Strategy Based on Lunar Phases
This custom trading indicator leverages the power of lunar cycles to provide unique market insights based on the four primary moon phases: New Moon, First Quarter, Full Moon, and Third Quarter. By aligning your trades with the natural rhythm of the moon, this strategy offers a different perspective to trading and can help enhance decision-making based on the cyclical nature of the market.
Key Features:
1. Moon Phase Identification:
o The indicator automatically identifies the current moon phase based on the user's selected timeframe and marks it on the chart.
o Each phase is visualized with a specific symbol and color to help traders easily recognize the current moon phase:
New Moon/Waxing Moon: Represented by a circle (colored as per user input).
First Quarter: Represented by a cross (colored as per user input).
Full Moon/Waning Moon: Represented by a circle (colored as per user input).
Third Quarter: Represented by a cross (colored as per user input).
2. Automatic Moon Phase Transition Detection:
o The indicator tracks and highlights when a phase change occurs. This feature ensures you are always aware of when the market moves from one phase to another.
o Moon phase changes are only visualized on the first bar of each new phase to avoid cluttering the chart.
3. Background Color Indicators:
o The background color dynamically changes according to the current moon phase, helping to reinforce the phase context for the trader. This feature makes it easy to see at a glance which phase the market is in.
4. Customizable Appearance:
o Customize the color of each moon phase to suit your preferences. Adjust the colors for the New Moon, First Quarter, Full Moon, and Third Quarter to align with your visual strategy.
5. Avoids Unsupported Timeframes:
o This indicator does not support monthly timeframes, ensuring that it operates smoothly only on timeframes that are compatible with the lunar cycle.
How to Use:
• The moon phases are thought to have an influence on human behavior and the market's psychology, making this indicator useful for traders who wish to integrate lunar cycles into their strategy.
• Traders can use the phase changes as an indicator of potential market momentum or reversal points. For example:
o New Moon may indicate the beginning of a new cycle, signaling a potential upward or downward move.
o Full Moon might suggest a peak or significant shift in market direction.
o First Quarter and Third Quarter phases may represent moments of consolidation or decision points.
Ideal for:
• Traders interested in cycle-based strategies or looking to experiment with new approaches.
• Those who believe in the influence of natural forces, including moon phases, on market movements.
• Technical analysts who want to add another layer of insights to their chart analysis.
Important Notes:
• The indicator uses precise astronomical calculations to identify the correct phase, ensuring accuracy.
• It’s important to understand that moon phase-based trading is not a standalone strategy but should ideally be combined with other technical analysis tools for maximum effectiveness.
Daily Buy/Sell Volumeindicator that The Daily Buy/Sell Volume Indicator is a custom-built tool that helps traders track and visualize the buying and selling volumes throughout a trading day. This indicator separates the total volume into two categories:
1. Buy Volume: Calculated when the closing price is higher than the opening price for a given candle. This represents the volume of bullish (buy) activity for the day.
2. Sell Volume: Calculated when the closing price is lower than the opening price for a given candle. This represents the volume of bearish (sell) activity for the day.
Key Features:
• Buy/Sell Volume Calculation: The indicator tracks the buying and selling volumes based on the relationship between the open and close prices of each candle.
• Daily Reset: The indicator resets at the start of each trading day, providing fresh calculations for the daily buy and sell volumes.
• Visual Representation: The buy volume is shown with a green line, while the sell volume is displayed with a red line, making it easy to identify bullish and bearish activity over the course of the day.
ATR BeamsATR Beams is a simple indicator that utilizes the ATR to determine levels above and below price action that can serve as stop loss or trailing visual aids across all instruments.
This indicator is preset to an ATR value of 14 and a multiplier of 1 for the ATR.
Both of these parameters can be modified to your specific trading preference, the color and indicator line style can both also be modified to your visual preference.
I hope this provides you with a good visual aid
TOL LANGIT ATR v7 - AI EnhancedThe TOL LANGIT ATR v7 is an adaptive technical indicator designed to identify market trends, support and resistance levels, and breakout points. It uses the Average True Range (ATR) and volatility to dynamically adjust trend bands, with visual markers for buy and sell signals. The indicator also highlights key support (blue) and resistance (orange) levels, and alerts users when these levels are broken. It’s perfect for trend following, breakout trading, and reversal strategies, and includes easy-to-set alerts for key market changes.
IU Range Trading StrategyIU Range Trading Strategy
The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management.
User Inputs:
- Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10).
- ATR Length: Sets the length of the ATR calculation (default: 14).
- ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00).
Entry Conditions:
1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR.
2. Once a valid range is formed:
- A long trade is triggered at the range high.
- A short trade is triggered at the range low.
Exit Conditions:
1. Trailing Stop-Loss:
- The stop-loss adjusts dynamically using ATR targets.
- The strategy locks in profits as the trade moves in your favor.
2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making.
Features:
- Automated box creation to visualize the trading range.
- Supports one position at a time, canceling opposite-side entries.
- ATR-based trailing stop-loss for effective risk management.
- Clear visual representation of stop-loss and take-profit levels with colored bands.
This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Volatility & Big Market MovesThis indicator shows the volatility per candle, and highlights candles where volatility exceeds a defined threshold.
Data shown:
Furthest %-distance from the previous candle's closing price to the top (positive histogram).
Furthest %-distance from the previous candle's closing price to the bottom (negative histogram).
EMA Crossover PredictionThis indicator predicts potential EMA crossovers by analyzing the rate of change between short and long EMAs. It calculates future EMA values based on current trends and displays predicted crossover points with their estimated timeframe and price level. The script uses customizable periods for both EMAs and forecast length, making it adaptable for different trading timeframes. Green labels indicate predicted bullish crossovers (short EMA crossing above long EMA), while red labels show bearish crossover predictions (short EMA crossing below long EMA).
2022 Model ICT Entry Strategy [TradingFinder] One Setup For Life🔵 Introduction
The ICT 2022 model, introduced by Michael Huddleston, is an advanced trading strategy rooted in liquidity and price imbalance, where time and price serve as the core elements. This ICT 2022 trading strategy is an algorithmic approach designed to analyze liquidity and imbalances in the market. It incorporates concepts such as Fair Value Gap (FVG), Liquidity Sweep, and Market Structure Shift (MSS) to help traders identify liquidity movements and structural changes in the market, enabling them to determine optimal entry and exit points for their trades.
This Full ICT Day Trading Model empowers traders to pinpoint the Previous Day High/Low as well as the highs and lows of critical sessions like the London and New York sessions. These levels act as Liquidity Zones, which are frequently swept prior to a market structure shift (MSS) or a retracement to areas such as Optimal Trade Entry (OTE).
Bullish :
Bearish :
🔵 How to Use
The ICT 2022 model is a sophisticated trading strategy that focuses on identifying key liquidity levels and price movements. It operates based on two main principles. In the first phase, the price approaches liquidity zones and sweeps critical levels such as the previous day’s high or low and key session levels.
This movement is known as a Liquidity Sweep. In the second phase, following the sweep, the price retraces to areas like the FVG (Fair Value Gap), creating ideal entry points for trades. Below is a detailed explanation of how to apply this strategy in bullish and bearish setups.
🟣 Bullish ICT 2022 Model Setup
To use the ICT 2022 model in a bullish setup, start by identifying the Previous Day High/Low or key session levels, such as those of the London or New York sessions. In a bullish setup, the price usually moves downward first, sweeping the Liquidity Low. This move, known as a Liquidity Sweep, reflects the collection of buy orders by major market participants.
After the liquidity sweep, the price should shift market structure and start moving upward; this shift, referred to as Market Structure Shift (MSS), signals the beginning of an upward trend. Following MSS, areas like FVG, located within the Discount Zone, are identified. At this stage, the trader waits for the price to retrace to these zones. Once the price returns, a long trade is executed.
Finally, the stop-loss should be set below the liquidity low to manage risk, while the take-profit target is usually placed above the previous day’s high or other identified liquidity levels. This structure enables traders to take advantage of the upward price movement after the liquidity sweep.
🟣 Bearish ICT 2022 Model Setup
To identify a bearish setup in the ICT 2022 model, begin by marking the Previous Day High/Low or key session levels, such as the London or New York sessions. In this scenario, the price typically moves upward first, sweeping the Liquidity High. This move, known as a Liquidity Sweep, signifies the collection of sell orders by key market players.
After the liquidity sweep, the price should shift market structure downward. This movement, called the Market Structure Shift (MSS), indicates the start of a downtrend. Following MSS, areas such as FVG, found within the Premium Zone, are identified. At this stage, the trader waits for the price to retrace to these areas. Once the price revisits these zones, a short trade is executed.
In this setup, the stop-loss should be placed above the liquidity high to control risk, while the take-profit target is typically set below the previous day’s low or another defined liquidity level. This approach allows traders to capitalize on the downward price movement following the liquidity sweep.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT 2022 model is a comprehensive and advanced trading strategy designed around key concepts such as liquidity, price imbalance, and market structure shifts (MSS). By focusing on the sweep of critical levels such as the previous day’s high/low and important trading sessions like London and New York, this strategy enables traders to predict market movements with greater precision.
The use of tools like FVG in this model helps traders fine-tune their entry and exit points and take advantage of bullish and bearish trends after liquidity sweeps. Moreover, combining this strategy with precise timing during key trading sessions allows traders to minimize risk and maximize returns.
In conclusion, the ICT 2022 model emphasizes the importance of time and liquidity, making it a powerful tool for both professional and novice traders. By applying the principles of this model, you can make more informed trading decisions and seize opportunities in financial markets more effectively.
Sharpe and Sortino Ratios with Date RangeThis indicator calculates the Sharpe and Sortino ratios using a chart symbol's periodic price returns.
I added the ability to calculate SORTINO and Sharpe based on CUSTOM DATES within the option menu.
It builds on the script here: by adding this feature.
A little about the Sortino Ratio.
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I want equity market returns, but I don’t want equity market volatility. This is the sentiment many investors naturally feel. This sentiment often grows stronger as one approaches or is in the phase where they desire distributions from their savings to improve lifestyle. This is why there is a need for active management in the investment arena. The desire to control downside volatility, but also participate in the upside growth is a very fundamental human desire. The Sortino Ratio measures how well a particular investment meets this fundamental human desire.
There is the old adage, “volatility is the price you pay for returns.” However, what if we could measure the historical performance of an investment and see if it has given above average returns compared to the downside volatility. This is a simple division problem. It will tell us if the volatility “price we are paying for returns” is good. We can then compare that to other investments to see how they compare.
Let us take the return and subtract the risk-free interest rate and then simply divide that by the downside movement from the average. A basic division problem yielding a number that measures a very basic human desire: How well did this investment do compared to the downside risk it experienced.
In the world of financial analysis and investment management, ratios are abundant. There are many ratios that are truly important to a particular analysis. However, the sheer abundance of ratios that are available often overwhelms the casual investor, leading them to disregard ratios altogether. I would argue for those investors that desire a way to rank an investment by its ability to satisfy this very fundamental human desire, the Sortino Ratio is the number they need to consider.
Disappointing in the marketplace for research, the Sortino Ratio is not featured prominently. It is much easier to find the inflows a particular ETF has experienced than the Sortino Ratio. Inflows are important. They measure how much people are investing into an ETF. However, they are mostly only important to the fund manager, not the investor. What investors care about is the Risk-Adjusted Return. This is the Sortino Ratio.
