Smart Money Breakouts [iskess 01-02 11:05]This is an big update to the excellent Smart Money Breakout Script published in Oct 2023 by ChartPrime who, to my knowledge, was the original author.
FULL CREDIT GOES TO CHARTPRIME FOR THIS ORIGINAL WORK.
Per the moderator's rules, you will find below a meaningful, detailed self-contained description that does not rely on delegation to the open source code or links to other content. You will find in the description details on what the script does, how it does that, how to use it, and how it is original.
The "Smart Money Breakouts" indicator is designed to identify breakouts based on changes in character (CHOCH) or breaks of structure (BOS) patterns, facilitating automated trading with user-defined Take Profit (TP) level.
The indicator incorporates essential elements such as volume analysis and a data table to assist traders in optimizing their strategies.
🔸Breakout Detection:
The indicator scans price movements for "Change in Character" (CHOCH) and "Break of Structure" (BOS) patterns, signaling potential breakout opportunities in the market.
🔸User-Defined TP/SL :
Traders can customize the Take Profit (TP) and Stop Loss (SL) through the indicator settings, with these levels dynamically calculated based on the Average True Range (ATR). This allows for precise risk management and profit targets that adapt to market volatility. Traders can also select the lookback period for the TP/SL calculations.
🔸Volume Analysis and Trade Direction Specific Analysis:
The indicator includes a volume checker that provides valuable insights into the strength of the breakout, taking into account trade direction.
🔸If the volume label is red and the trade is long, it suggests a higher likelihood of hitting the Stop Loss (SL).
🔸If the volume label is green and the trade is long, it indicates a higher probability of hitting the Take Profit (TP).
🔸For short trades, a red volume label suggests a higher likelihood of hitting TP, while a green label suggests a higher likelihood of hitting SL.
🔸A yellow volume label suggests that the volume is inconclusive, neither favoring bullish nor bearish movements.
🔸Data Table:
The indicator features a data table that keeps track of the number of winning and losing trades for specific timeframes or configurations. It also shows the percentage of profits vs losses, and the overall profit/loss for the selected lookback period.
This table serves as a valuable tool for traders to analyze performance and discover optimal settings and timeframes.
The "Smart Money Breakouts" indicator provides traders with a comprehensive solution for breakout trading, combining technical analysis of changes in character and breaks of structure, volume insights, and performance tracking while dynamically adjusting TP and SL levels based on market volatility through the ATR.
This version of the script is a "significant improvement" from Chart Prime's original work in the following ways:
- A selectable range of candles for the profit/loss calculations to look back on.
- An updated table that includes the percentage of wins/losses, and and overall P&L during the selected lookback range.
- The user can now select only Long trades, Short trades, or both.
- The percentage gain/loss is now indicated for every trade on the chart.
- The user can now select a different multiplier for Stop Loss or Take Profit thresholds.
Циклический анализ
Zero Lag Trend Signals with Heikin Ashi (MTF) [AlgoAlpha]Zero Lag Trend Signals is combined with Heikin Ashi (MTF)
HTF Hi-Lo Zones [CHE]HTF Hi-Lo Zones Indicator
The HTF Hi-Lo Zones Indicator is a Pine Script tool designed to highlight important high and low values from a selected higher timeframe. It provides traders with clear visual zones where price activity has reached significant points, helping in decision-making by identifying potential support and resistance levels. This indicator is customizable, allowing users to select the resolution type, control the visualization of session ranges, and even display detailed information about the chosen timeframe.
Key Functionalities
1. Timeframe Resolution Selection:
- The indicator offers three modes to determine the resolution:
- Automatic: Dynamically calculates the higher timeframe based on the current chart's resolution.
- Multiplier: Allows users to apply a multiplier to the current chart's timeframe.
- Manual: Enables manual input for custom resolution settings.
- Each resolution type ensures flexibility to suit different trading styles and strategies.
2. Data Fetching for High and Low Values:
- The indicator retrieves the current high and low values for the selected higher timeframe using `request.security`.
- It also calculates the lowest and highest values over a configurable lookback period, providing insights into significant price movements within the chosen timeframe.
3. Session High and Low Detection:
- The indicator detects whether the current value represents a new session high or low by comparing the highest and lowest values with the current data.
- This is crucial for identifying breakouts or significant turning points during a session.
4. Visual Representation:
- When a new session high or low is detected:
- Range Zones: A colored box marks the session's high-to-low range.
- Labels: Optional labels indicate "New High" or "New Low" for clarity.
- Users can customize colors, transparency, and whether range outlines or labels should be displayed.
5. Information Box:
- An optional dashboard displays details about the chosen timeframe resolution and current session activity.
- The box's size, position, and colors are fully customizable.
6. Session Tracking:
- Tracks session boundaries, updating the visualization dynamically as the session progresses.
- Displays session-specific maximum and minimum values if enabled.
7. Additional Features:
- Configurable dividers for session or daily boundaries.
- Transparency and styling options for the displayed zones.
- A dashboard for advanced visualization and information overlay.
Key Code Sections Explained
1. Resolution Determination:
- Depending on the user's input (Auto, Multiplier, or Manual), the script determines the appropriate timeframe resolution for higher timeframe analysis.
- The resolution adapts dynamically based on intraday, daily, or higher-period charts.
2. Fetching Security Data:
- Using the `getSecurityDataFunction`, the script fetches high and low values for the chosen timeframe, including historical and real-time data management to avoid repainting issues.
3. Session High/Low Logic:
- By comparing the highest and lowest values over a lookback period, the script identifies whether the current value is a new session high or low, updating session boundaries and initiating visual indicators.
4. Visualization:
- The script creates visual representations using `box.new` for range zones and `label.new` for session labels.
- These elements update dynamically to reflect the most recent data.
5. Customization Options:
- Users can configure the appearance, behavior, and displayed data through multiple input options, ensuring adaptability to individual trading preferences.
This indicator is a robust tool for tracking higher timeframe activity, offering a blend of automation, customization, and visual clarity to enhance trading strategies.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
GOLD H1 & H4 Candle TrackerIndikator Penanda Candle H1 & H4 adalah alat yang dirancang untuk menyoroti candle tertentu pada timeframe H1 dan H4 berdasarkan waktu tertentu, yaitu jam 07.00/08.00 dan 19.00/20.00.
Indikator ini bekerja dengan:
Memberi warna merah untuk candle jam 07.00.
Memberi warna biru untuk candle jam 19.00.
Memungkinkan penyesuaian offset waktu untuk menyesuaikan zona waktu broker dengan waktu lokal.
Indikator hanya aktif pada timeframe H1 dan H4, membantu trader mengidentifikasi candle penting pada waktu-waktu strategis untuk analisis pergerakan harga.
Crypto Market Caps / Global GDP %This indicator compares the total market capitalization of various crypto sectors to the global Gross Domestic Product (GDP), expressed as a percentage. The purpose of this indicator is to provide a visual representation of the relative size of the crypto market compared to the global economy, allowing traders and analysts to understand how the market is growing in relation to the overall economy.
Key Features
Crypto Market Caps -
TOTAL: Represents the total market capitalization of all cryptocurrencies.
TOTAL3: Represents the market capitalization of all cryptocurrencies, excluding Bitcoin and Ethereum.
OTHERS: Represents the market capitalization of all cryptocurrencies excluding the top 10.
Global GDP -
The indicator uses a combination of GDP data from multiple regions across the world, including:
GDP from the EU, North America (NA), and other regions.
GDP data from Asia, Latin America (LATAM), and the Middle East & North Africa (MENA).
Percentage Representation -
The market caps (TOTAL, TOTAL3, OTHERS) are compared to the global GDP, and the result is expressed as a percentage. This allows you to easily see how the size of the cryptocurrency market compares to the entire global economy at any given time.
Plotting and Visualization
The indicator plots the market cap to global GDP ratio for each category (TOTAL, TOTAL3, OTHERS) on the chart.
You can choose which plots to display through user inputs.
The percentage scale makes it easy to compare how much of the global GDP is represented by different parts of the crypto market.
Labels can be added for additional clarity, showing the exact percentage value on the chart.
How to Use
The indicator provides a clear view of the cryptocurrency market's relative size compared to the global economy.
Higher values indicate that the crypto market (or a segment of it) is becoming a larger portion of the global economy.
Lower values suggest the crypto market is still a smaller segment of the global economic activity.
User Inputs
TOTAL/GlobalGDP: Toggle visibility for the total market capitalization of all cryptocurrencies.
TOTAL3/GlobalGDP: Toggle visibility for the market cap of cryptocurrencies excluding Bitcoin and Ethereum.
OTHERS/GlobalGDP: Toggle visibility for the market cap of cryptocurrencies excluding the top 10.
Labels: Enable or disable the display of labels showing the exact percentage values.
Practical Use Cases
Market Sentiment: Gauge the overall market sentiment and potential growth relative to global economic conditions.
Investment Decisions: Help identify when the crypto market is becoming more or less significant in the context of the global economy.
Macro Analysis: Combine this indicator with other macroeconomic indicators to gain deeper insights into the broader economic landscape.
By providing an easy-to-understand percentage representation, this indicator offers valuable insights for anyone interested in tracking the relationship between cryptocurrency market cap and global economic activity.
BBMA by Edwin K1. Components of the Indicator
Bollinger Bands (BB):
Middle Band (midBB): A simple moving average (SMA) of the closing price over the specified length (default = 20).
Upper Band (topBB): midBB + (BB multiplier × standard deviation).
Lower Band (lowBB): midBB - (BB multiplier × standard deviation).
How to interpret Bollinger Bands:
Extreme conditions:
Price above the upper band = overbought (potential reversal or resistance).
Price below the lower band = oversold (potential reversal or support).
Moving Averages (MA):
mahi5 and mahi10: WMAs (weighted moving averages) based on the high price.
malo5 and malo10: WMAs based on the low price.
EMA 50: Exponential moving average of the closing price over 50 periods, providing an overall trend.
How to interpret moving averages:
Shorter-term MAs (mahi5 and malo5): Indicate recent price action.
Longer-term MAs (mahi10 and malo10): Indicate broader trends.
Crossovers or alignment of these moving averages with the Bollinger Bands can signal trades.
2. Trading Signals
Extreme Upper Signals:
Condition: Either mahi5 or mahi10 crosses above the upper Bollinger Band (topBB).
Visual Cue: A red downward triangle is plotted above the bar.
Interpretation: Indicates a potential overbought condition.
Action: Consider taking a short position or closing long trades, especially if the price starts reversing.
Extreme Lower Signals:
Condition: Either malo5 or malo10 crosses below the lower Bollinger Band (lowBB).
Visual Cue: A green upward triangle is plotted below the bar.
Interpretation: Indicates a potential oversold condition.
Action: Consider taking a long position or closing short trades, especially if the price starts reversing.
3. Trading Strategy
Trend Following:
Use EMA 50:
If the price is above the EMA 50, the trend is bullish. Focus on long trades, especially when extreme lower signals occur.
If the price is below the EMA 50, the trend is bearish. Focus on short trades, especially when extreme upper signals occur.
Reversal Trading:
Watch for extreme signals (mahi or malo breaching BB bands):
Extreme Upper Signal: Enter short after confirmation of a reversal (e.g., a bearish candle forms after the signal).
Extreme Lower Signal: Enter long after confirmation of a reversal (e.g., a bullish candle forms after the signal).
Confluence with Moving Averages:
If mahi or malo aligns with the Bollinger Bands, it strengthens the signal:
For Long Trades: malo5 or malo10 near or below lowBB.
For Short Trades: mahi5 or mahi10 near or above topBB.
4. Risk Management
Always set stop-loss orders based on recent price levels:
Short Trades: Above the recent swing high or topBB.
Long Trades: Below the recent swing low or lowBB.
Use risk-reward ratios (e.g., 1:2 or 1:3) to plan exits.
5. How to Read the Chart
Look for the plotted Bollinger Bands, moving averages, and signals:
Red downward triangles: Potential short trade opportunities.
Green upward triangles: Potential long trade opportunities.
Combine these signals with trend direction (EMA 50) and candle patterns for confirmation.
By following these steps, you can make informed decisions based on the BBMA strategy.
ChatGPT can
Kmag's Pi Cycle Top Indicator w Next Top Predictor & BTC HalvingThis chart is for Bitcoin only, and only on the 1 day timeframe.
It shows the Pi Cycle indicator top signal, which is when the 111 day SMA crosses above the 350 day SMA x 2.
The prediction uses predictive analysis completed by AI given the current days 111 SMA line slope, and the 350 SMA x 2 line. As the 111 SMA line slope increases this date will re-calibrate quickly to show a date more indicative of the crossover date.
This chart also shows the Bitcoin halving, and also the average Bitcoin peak sell date signal in purple after the Bitcoin halving, which is about 525 days after the Bitcoin halving date.
AI-Style Trading Strategy - Long OnlyThis strategy automatically buys you into various products. Each product has its own perfect stop loss and take profit values. You can get these on my discord. The strategy works best in the bull market but can also run continuously.
Close Difference of rolling candleThis is a modified version of FTFC concept.
FTFC concept look at HTF candle's direction, green or red.
This indicator calculate the closing price difference in a rolling base. For example, if now it is 3:05pm, it will show the price difference at closing between 3:05pm and 2:04pm if you use 60 mins as the setting. The moment it turn or green, it means in the last 1 hour, the candle is green. It is not tied to a time point of the HTF clock.
AdibXmos// © AdibXmos
//@version=5
indicator('Sood Indicator V2 ', overlay=true, max_labels_count=500)
show_tp_sl = input.bool(true, 'Display TP & SL', group='Techical', tooltip='Display the exact TP & SL price levels for BUY & SELL signals.')
rrr = input.string('1:2', 'Risk to Reward Ratio', group='Techical', options= , tooltip='Set a risk to reward ratio (RRR).')
tp_sl_multi = input.float(1, 'TP & SL Multiplier', 1, group='Techical', tooltip='Multiplies both TP and SL by a chosen index. Higher - higher risk.')
tp_sl_prec = input.int(2, 'TP & SL Precision', 0, group='Techical')
candle_stability_index_param = 0.5
rsi_index_param = 70
candle_delta_length_param = 4
disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Techical', 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('huge', '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)
atr = ta.atr(14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
var last_signal = ''
var tp = 0.
var sl = 0.
bull_state = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
bull = bull_state and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true)
bearish_engulfing = close > open and close < open and close < open
rsi_above = rsi > 100 - rsi_index_param
increase_over = close > close
bear_state = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed
bear = bear_state and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
round_up(number, decimals) =>
factor = math.pow(10, decimals)
math.ceil(number * factor) / factor
if bull
last_signal := 'buy'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close + tp_dist, tp_sl_prec)
sl := round_up(close - dist, tp_sl_prec)
if label_style == 'text bubble'
label.new(bar_index, 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(bar_index, 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(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_down, textcolor=label_text_color)
if bear
last_signal := 'sell'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close - tp_dist, tp_sl_prec)
sl := round_up(close + dist, tp_sl_prec)
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)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_up, textcolor=label_text_color)
alertcondition(bull or bear, 'BUY & SELL Signals', 'New signal!')
alertcondition(bull, 'BUY Signals (Only)', 'New signal: BUY')
alertcondition(bear, 'SELL Signals (Only)', 'New signal: SELL')
Manual Profit/Weekly Calendar with Totalthis thik help you cal your profits , the back ground color dont select
SMA MTF Diff [Screener]Indicador que calcula y muestra la diferencia porcentual entre la SMA 200 en timeframe de 1 minuto y la SMA 50 en timeframe de 5 minutos.
Un valor positivo indica que la SMA 200 1m está por encima de la SMA 50 5m.
Ejemplo: Un valor de 5 significa que la SMA 200 1m está 5% por encima de la SMA 50 5m.
MMRI by NicoThis indicator is the same indicator created by Gregory Mannarino.
It measures risk in the market:
Extreme 300+
High 200-300
Moderate 100-200
Low 50-100
The formula is simple:
MMRI = DXY * US10Y / 1.61
The chart shows a number that represents the risk in the market at all times. It is useful to have it at all times no matter what chart you are looking.
The original indicator is here: traderschoice.net
Props to Gregory for creating this indicator which has proven to be very useful to assess the risk of the market.
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Limit order strategyThe Adaptive Trend Flow Strategy with Filters for SPX is a complete trading algorithm designed to identify traits and offer actionable alerts for the SPX index. This Pine Script approach leverages superior technical signs and user-described parameters to evolve to marketplace conditions and optimize performance.
Key Features and Functionality
Dynamic Trend Detection: Utilizes a dual EMA-based totally adaptive method for fashion calculation.
The script smooths volatility the usage of an EMA filter and adjusts sensitivity through the sensitivity enter. This allows for real-time adaptability to market fluctuations.
Trend Filters for Precision:
SMA Filter: A Simple Moving Average (SMA) guarantees that trades are achieved best while the rate aligns with the shifting average trend, minimizing false indicators.
MACD Filter: The Moving Average Convergence Divergence (MACD) adds some other layer of confirmation with the aid of requiring alignment among the MACD line and its sign line.
Signal Generation:
Long Signals: Triggered when the fashion transitions from bearish to bullish, with all filters confirming the pass.
Short Signals: Triggered while the trend shifts from bullish to bearish, imparting opportunities for final positions.
User Customization:
Adjustable parameters for EMAs, smoothing duration, and sensitivity make certain the strategy can adapt to numerous buying and selling patterns.
Enable or disable filters (SMA or MACD) based totally on particular market conditions or consumer possibilities.
Leverage and Position Sizing: Incorporates a leverage aspect for dynamic position sizing.
Automatically calculates the exchange length based on account fairness and the leverage element, making sure hazard control is in area.
Visual Enhancements: Plots adaptive fashion ranges (foundation, top, decrease) for actual-time insights into marketplace conditions.
Color-coded bars and heritage to visually represent bullish or bearish developments.
Custom labels indicating crossover and crossunder occasions for clean sign visualization.
Alerts and Automation: Configurable alerts for each lengthy and quick indicators, well matched with automated buying and selling structures like plugpine.Com.
JSON-based alert messages consist of account credentials, motion type, and calculated position length for seamless integration.
Backtesting and Realistic Assumptions: Includes practical slippage, commissions, and preliminary capital settings for backtesting accuracy.
Leverages excessive-frequency trade sampling to make certain strong strategy assessment.
How It Works
Trend Calculation: The method derives a principal trend basis with the aid of combining fast and gradual EMAs. It then uses marketplace volatility to calculate adaptive upper and decrease obstacles, creating a dynamic channel.
Filter Integration: SMA and MACD filters work in tandem with the fashion calculation to ensure that handiest excessive-probability signals are accomplished.
Signal Execution: Signals are generated whilst the charge breaches those dynamic tiers and aligns with the fashion and filters, ensuring sturdy change access situations.
How to Use
Setup: Apply the approach to SPX or other well suited indices.
Adjust person inputs, together with ATR length, EMA smoothing, and sensitivity, to align together with your buying and selling possibilities.
Enable or disable the SMA and MACD filters to test unique setups.
Alerts: Configure signals for computerized notifications or direct buying and selling execution through third-celebration systems.
Use the supplied JSON payload to integrate with broking APIs or automation tools.
Optimization:
Experiment with leverage, filter out settings, and sensitivity to find most effective configurations to your hazard tolerance and marketplace situations.
Considerations and Best Practices
Risk Management: Always backtest the method with realistic parameters, together with conservative leverage and commissions.
Market Suitability: While designed for SPX, this method can adapt to other gadgets by means of adjusting key parameters.
Limitations: The method is trend-following and can underperform in
Moving Averages by ComLucro - 20/50/100/200 - 2025_V01Moving Averages by ComLucro - 20/50/100/200 - 2025_V01
Moving Averages by ComLucro - 20/50/100/200 - 2025_V01 is a versatile and customizable tool for traders looking to incorporate 20, 50, 100, and 200-period Simple Moving Averages (SMA) into their technical analysis. This indicator allows traders to easily track these key moving averages directly on their charts, with customizable colors and line positions for a seamless user experience.
Key Features:
Multiple Timeframes: Displays 20, 50, 100, and 200-period SMAs, widely used in technical analysis.
Customizable Colors: Adjust the color of each SMA to match your chart’s theme and improve visibility.
Clean Visualization: Plots each moving average with distinct colors and thicknesses for clarity.
How It Works:
Choose your desired periods for the SMAs: 20, 50, 100, and 200.
Customize the line colors to enhance chart readability.
View the SMAs dynamically plotted over your chart for quick reference during analysis.
Disclaimer:
This script is intended for educational purposes only and does not constitute financial or trading advice. Use it responsibly and ensure it aligns with your trading strategies and risk management practices.
ATT (3PM-6PM: 8PM-9PM UK) - TRADEWITHWILL
ATT (Advanced time theory) discovered by INuke (Tradewithwill)
The code will only show labels from 3pm to 6pm & 8pm to 9pm
(Only recommended on CME_MINI:NQ1! )
RSI %20 Change rsı ın yatay piyasa da hareket ederken anlık genişleme yapması durumun da bu da %20 dir beyAZ MUMLA BELİRTİR. RSI 70 ve 26 dını yuları kestiğin de bunları belirtir ve ema 50 ve 200 kullanılmıstır. fikirlerinizi merak ediyorum yorum yaparsanız sevinirim. bol lazançlar
Monthly Drawdowns and Moves UP This script allows users to analyze the performance of a specific month across multiple years, focusing on maximum drawdowns and maximum upward moves within the selected month. The script offers the following features:
Dynamic Month Selection : Choose any month to analyze using an intuitive dropdown menu.
Maximum Drawdown and Upward Move Calculations :
Calculate the largest percentage drop (drawdown) and rise (move up) for the selected month each year.
Visual Highlights :
The selected month is visually highlighted on the chart with a semi-transparent overlay.
Dynamic Labels:
Labels display the maximum drawdown and upward move directly on the chart for better visualization.
Comprehensive Table Summary:
A table provides a year-by-year summary of the maximum drawdowns and upward moves for the selected month, making it easy to spot trends over time.
Customizable Display Options:
Toggle the visibility of drawdown labels, move-up labels, and the summary table for a clutter-free experience.
This tool is perfect for traders and analysts looking to identify seasonal patterns, assess risk and opportunity, and gain deeper insights into monthly performance metrics across years. Customize, explore, and make informed decisions with this powerful Pine Script indicator.
Master Bitcoin & Litecoin Stock To Flow (S2F) ModelMaster Bitcoin & Litecoin Stock-to-Flow (S2F) Model
This indicator visualizes the Stock-to-Flow (S2F) models for Bitcoin (BTC) and Litecoin (LTC) based on Plan B's methodology. It calculates S2F and projects price models for both assets, incorporating daily changes in circulating supply. The script is designed exclusively for daily timeframes.
Features:
LTC & BTC S2F Models:
Calculates Stock-to-Flow values for both assets using daily new supply and circulating supply data.
Models S2F values with a customizable multiplier for precise adjustments.
500-Day Moving Average Models:
Smoothens the S2F model by applying a 500-day (18-month) moving average, providing a long-term trend perspective.
Customizable Inputs:
Adjust LTC and BTC multipliers to fine-tune the models.
Alert for Timeframe:
Alerts users to switch to the daily timeframe if another period is selected.
Plots:
LTC S2F Model: Blue line representing Litecoin’s calculated S2F-based price model.
BTC S2F Model: Orange line representing Bitcoin’s calculated S2F-based price model.
500-Day Avg Models: Smoothened S2F models for both LTC and BTC.
Notes:
Requires daily timeframe (1D) for accurate calculations.
Supply data is sourced from GLASSNODE:LTC_SUPPLY and GLASSNODE:BTC_SUPPLY.
Disclaimer:
This model is derived from Plan B's S2F methodology and is intended for educational and entertainment purposes only. It does not reflect official predictions or financial advice. Always conduct your own research before making investment decisions.
