G9 Multi-Cycle + Gann Square 9This Pine Script indicator plots Gann quarter (0.25), half (0.50), and full (1.00) cycles, along with an optional custom cycle step, all derived from a user-defined base price. Each cycle line is extended across the chart and labeled with the increment index and the exact computed price. You can toggle each cycle type on or off, specify how many increments to display, and set the base price as a fractional value if needed. This provides a clear visual framework for Gann-based analysis and helps identify potential support/resistance levels.
Indicators and strategies
NR7 Highlight (Day Timeframe Only) by rsavalagiNr7 Highlight by rsavalagi works in Daily time frame only
Zero Lag Trend Signals (Improved with MACD)Fixed Buy/Sell Signals: Now clearly visible with "BUY" (Green) and "SELL" (Red) labels.
Improved Moving Line Colors: Adjusted to show trends better.
Added High Timeframe Confirmation: More accurate trend filtering.
Filtered Out Weak Signals: Using ATR & VWMA.
Risk Management/Position Sizing CalculatorCalculate risk more effectively. Enter Risk % and Account value. It will automatically set your stop loss to the LOD
IV Percentile with SMAKey features of this script:
Calculates implied volatility using historical volatility method
Allows configurable SMA period via input
Plots implied volatility and its moving average
Blue line is raw implied volatility
Red line is SMA of implied volatility
One Trading Setup for Life ICT [TradingFinder] Sweep Session FVG🔵 Introduction
ICT One Trading Setup for Life is a trading strategy based on liquidity and market structure shifts, utilizing the PM Session Sweep to determine price direction. In this strategy, the market first forms a price range during the PM Session (from 13:30 to 16:00 EST), which includes the highest high (PM Session High) and lowest low (PM Session Low).
In the next session, the price first touches one of these levels to trigger a Liquidity Hunt before confirming its trend by breaking the Change in State of Delivery (CISD) Level. After this confirmation, the price retraces toward a Fair Value Gap (FVG) or Order Block (OB), which serve as the best entry points in alignment with liquidity.
In financial markets, liquidity is the primary driver of price movement, and major market participants such as institutional investors and banks are constantly seeking liquidity at key levels. This process, known as Liquidity Hunt or Liquidity Sweep, occurs when the price reaches an area with a high concentration of orders, absorbs liquidity, and then reverses direction.
In this setup, the PM Session range acts as a trading framework, where its highs and lows function as key liquidity zones that influence the next session’s price movement. After the New York market opens at 9:30 EST, the price initially breaks one of these levels to capture liquidity.
However, for a trend shift to be confirmed, the CISD Level must be broken.
Once the CISD Level is breached, the price retraces toward an FVG or OB, which serve as optimal trade entry points.
Bullish Setup :
Bearish Setup :
🔵 How to Use
In this strategy, the PM Session range is first identified, which includes the highest high (PM Session High) and lowest low (PM Session Low) between 13:30 and 16:00 EST. In the following session, the price touches one of these levels for a Liquidity Hunt, followed by a break of the Change in State of Delivery (CISD) Level. The price then retraces toward a Fair Value Gap (FVG) or Order Block (OB), creating a trading opportunity.
This process can occur in two scenarios : bearish and bullish setups.
🟣 Bullish Setup
In a bullish scenario, the PM Session High and PM Session Low are identified. In the following session, the price first breaks the PM Session Low, absorbing liquidity. This process results in a Fake Breakout to the downside, misleading retail traders into taking short positions.
After the Liquidity Hunt, the CISD Level is broken, confirming a trend reversal. The price then retraces toward an FVG or OB, offering an optimal long entry opportunity.
The initial take-profit target is the PM Session High, but if higher timeframe liquidity levels exist, extended targets can be set.
The stop-loss should be placed below the Fake Breakout low or the first candle of the FVG.
🟣 Bearish Setup
In a bearish scenario, the market first defines its PM Session High and PM Session Low. In the next session, the price initially breaks the PM Session High, triggering a Liquidity Hunt. This movement often causes a Fake Breakout, misleading retail traders into taking incorrect positions.
After absorbing liquidity, the CISD Level breaks, indicating a shift in market structure. The price then retraces toward an FVG or OB, offering the best short entry opportunity.
The initial take-profit target is the PM Session Low, but if additional liquidity exists on higher timeframes, lower targets can be considered.
The stop-loss should be placed above the Fake Breakout high or the first candle of the FVG.
🔵 Setting
CISD Bar Back Check : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
Order Block Validity : The number of candles that determine the validity of an Order Block.
FVG Validity : The duration for which a Fair Value Gap remains valid.
CISD Level Validity : The duration for which a CISD Level remains valid after being broken.
New York PM Session : Defines the PM Session range from 13:30 to 16:00 EST.
New York AM Session : Defines the AM Session range from 9:30 to 16:00 EST.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
Demand Order Block : Enables or disables bullish Order Block.
Supply Order Block : Enables or disables bearish Order Blocks.
Demand FVG : Enables or disables bullish FVG.
Supply FVG : Enables or disables bearish FVGs.
Show All CISD : Enables or disables the display of all CISD Levels.
Show High CISD : Enables or disables high CISD levels.
Show Low CISD : Enables or disables low CISD levels.
🔵 Conclusion
The ICT One Trading Setup for Life is a liquidity-based strategy that leverages market structure shifts and precise entry points to identify high-probability trade opportunities. By focusing on PM Session High and PM Session Low, this setup first captures liquidity at these levels and then confirms trend shifts with a break of the Change in State of Delivery (CISD) Level.
Entering a trade after a retracement to an FVG or OB allows traders to position themselves at optimal liquidity levels, ensuring high reward-to-risk trades. When used in conjunction with higher timeframe bias, order flow, and liquidity analysis, this strategy can become one of the most effective trading methods within the ICT Concept framework.
Successful execution of this setup requires risk management, patience, and a deep understanding of liquidity dynamics. Traders can enhance their confidence in this strategy by conducting extensive backtesting and analyzing past market data to optimize their approach for different assets.
RSI DIVERSION 200 EMA COMBINATIONThis indicator generates buy signals when the price is above the 200 EMA with bullish RSI divergence and sell signals when the price is below the 200 EMA with bearish RSI divergence. It helps identify trend direction and potential reversal points in the market.
Even vs Odd Days Performance█ OVERVIEW
The Even vs Odd Days Performance indicator is designed to visualise and compare the performance of even-numbered days versus odd-numbered days. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between even and odd days.
By calculating cumulative daily performance and counting the number of days with positive returns, it provides a clear snapshot of whether one set of days tends to outperform the other, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for even and odd days separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between even and odd day performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a Daily timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with even days in green and odd days in red.
BullDozz MA-CandlesticksBullDozz MA-Candlesticks 🏗️📊
The BullDozz MA-Candlesticks indicator transforms traditional candlesticks by replacing their Open, High, Low, and Close values with various types of Moving Averages (MAs). This helps traders visualize market trends with smoother price action, reducing noise and enhancing decision-making.
🔹 Features:
✅ Choose from multiple MA types: SMA, EMA, WMA, DEMA, TEMA, LSMA
✅ Customizable MA period for flexibility
✅ Candlestick colors based on trend: Green for bullish, Red for bearish
✅ Works on any market and timeframe
This indicator is perfect for traders who want a clearer perspective on price movement using moving average-based candlesticks. 🚀 Try it now and refine your market analysis! 📈🔥
Milana Trades - SFP ( with Alert)Swing Failure Pattern (SFP) is a powerful trading tool that helps identify liquidity grabs around swing points and potential price reversals.
How I Use the Indicator
Timeframe Selection:
I primarily focus on higher timeframes (30M and above).
If you're trading within a session, you can use shorter timeframes like 5M or 15M.
Entry Point Identification:
After an SFP forms on a higher timeframe, I switch to a lower timeframe.
On the lower timeframe, I look for confirmation signals indicating a reversal, such as:
iFVG (Imbalance / Fair Value Gap)
MSS (Market Structure Shift)
Breaker Block
Take-Profit Placement:
The ideal target for taking profit is the opposite liquidity zone.
Telegram : milanatrades
Instagram : milana.muslimova_
Sessions + SMAIn this script you have the option to color code the different sessions, i.e. Asian, Australian, NY, or London Sessions.
Also, you can plot up to 3 SMAs on your chart.
Grid Bot based on Bollinger Bands with Adjustable LevelsGrid Bot based on Bollinger Bands with Adjustable Levels
Previous Day Premarket First Five Minutes high and low (RF)shows pre-market high and low, previous day high and low and first 5 minutes high and low.
Even vs Odd Weeks Performance█ OVERVIEW
The Even vs Odd Weeks Performance indicator is designed to visualise and compare the performance of even-numbered weeks versus odd-numbered weeks. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between even and odd weeks.
By calculating cumulative weekly performance and counting the number of weeks with positive returns, it provides a clear snapshot of whether one set of weeks tends to outperform the other, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for even and odd weeks separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between even and odd week performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a Weekly timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with even weeks in green and odd weeks in red.
Bollinger Bands with EMA & SMA Bollinger Bands with customizable moving averages (SMA, EMA) and additional Exponential (EMA) & Simple Moving Averages (SMA) for trend analysis. It calculates Bollinger Bands using a user-defined moving average and standard deviation multiplier. The script also overlays 8, 13, 21, and 55-day EMAs and 50, 100, and 200-day SMAs
VWAP Alineado con FondoComparto un indicador creado con el fin de no estar pendiente con el vwap, este indica cuando este indicador esta alineado con las temporalidades se puede personalizar
Slim Fib 1.0 Customized script based on the script from KivancOzbilgic, thx for that. My script is kind of messy, since 'm not a programmer. Approch was to make it slim, because its for a bigger indicator i'm working on and i want it as clean as possible.
Changes: - calculation on Pivots, automatic change when a new pivot appears
- Global Pivot Settings for every Timeframe, looks fresh on every Timeframe
- Scalable Ote Box for Goldenzone and more extreme 0.71 level ( if you know you know;))
- Minimalized visualization
that's all i need
Cheers
[AcerX] Leverage, TP & Optimal TP CalculatorHow It Works
Inputs:
Portfolio Allocation (%): The percentage of your portfolio you're willing to risk on the trade.
Stop Loss (%): The stop loss distance below the entry price.
Taker Fee (%) and Maker Fee (%): The fees applied on entry and exit.
Calculations:
The script calculates the required "raw" leverage to risk 1% of your portfolio.
It floors the computed leverage to an integer ("effectiveLeverage").
If the computed leverage is less than 1, it shows an error message (and suggests the maximum allocation for at least 1× leverage).
Otherwise, it calculates the TP levels for target profits of 1.2%, 1.5%, and 2%, and an "Optimal TP" that nets a 1% profit after fees.
Display:
A table is drawn on the top right corner of your chart displaying the effective leverage, the TP levels, and an error message if applicable.
Simply add this script as a new indicator in TradingView, and adjust the inputs as needed.
Happy trading!
Custom MA Crossover (1-10min)//@version=5
indicator("Custom MA Crossover (1-10min)", overlay=true, shorttitle="CMA Cross 1-10min")
// Inputs
fast_length = input.int(5, title="Fast MA Length", minval=1) // Adjusted for shorter timeframes
slow_length = input.int(14, title="Slow MA Length", minval=1) // Adjusted for shorter timeframes
ma_type = input.string(title="MA Type", options= , defval="EMA")
use_timeframe_filter = input.bool(true, title="Restrict to 1-10min Timeframes?")
volume_filter = input.bool(true, title="Use Volume Filter?")
min_volume = input.float(1.5, title="Minimum Volume Multiplier", step=0.1) // Filter for higher volume candles
// Timeframe Check
is_allowed_timeframe = (timeframe.isminutes and timeframe.multiplier >= 1 and timeframe.multiplier <= 10) or not use_timeframe_filter
// Calculations
fast_ma = ma_type == "SMA" ? ta.sma(close, fast_length) : ta.ema(close, fast_length)
slow_ma = ma_type == "SMA" ? ta.sma(close, slow_length) : ta.ema(close, slow_length)
// Volume Filter
volume_avg = ta.sma(volume, 20) // 20-period average volume
is_high_volume = volume >= volume_avg * min_volume
// Crossover signals with filters
bullish = ta.crossover(fast_ma, slow_ma) and is_allowed_timeframe and (not volume_filter or is_high_volume)
bearish = ta.crossunder(fast_ma, slow_ma) and is_allowed_timeframe and (not volume_filter or is_high_volume)
// Plotting
plot(fast_ma, color=color.new(color.blue, 0), title="Fast MA")
plot(slow_ma, color=color.new(color.red, 0), title="Slow MA")
// Plot signals
plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Bullish Signal")
plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Bearish Signal")
// Alerts
alertcondition(bullish, title="Bullish Crossover", message="Fast MA crossed above Slow MA on a 1-10min chart")
alertcondition(bearish, title="Bearish Crossover", message="Fast MA crossed below Slow MA on a 1-10min chart")
Buy/Sell/Reversal with Support/Resistance & TrendlineIf the price is above the moving average and a bullish engulfing pattern forms, a BUY signal will appear.
If the price is below the moving average and a bearish engulfing pattern forms, a SELL signal will appear.
Swing Highs and Lows will be marked as RES and SUP, respectively.
Trendlines will be drawn between significant highs or lows.
CUSTOM_KKSThis indicator plots **six Exponential Moving Averages (EMAs)** (5, 9, 40, 50, 100, and 200) on the chart to help identify trends. It highlights **EMA crossovers** between the 5 EMA and 9 EMA, signaling potential buy or sell opportunities. Additionally, it **plots target price levels** after a crossover to help traders set profit-taking or stop-loss points. Clear **buy and sell signals** are displayed on the chart for better decision-making. 🚀📊
Pi Cycle Top IndicatorThe Pi Cycle Top Indicator is a powerful, mathematically-based tool for identifying market tops in Bitcoin. Created by Philip Swift, it combines market cycle observations with the mathematical constant pi to provide accurate signals. While it has limitations, its historical accuracy makes it one of the most respected tools in the cryptocurrency space.