The Investment Clock Orbital GraphThe Investment Clock Orbital Graph is an advanced visualization tool designed to help traders and investors track economic cycles using a dynamic scatter plot of GDP growth vs. CPI inflation rates.
This indicator is a fusion of two powerful TradingView indicators:
LuxAlgo ’s Relative Strength Scatter Plot – A robust scatter plot for tracking relative strength.
The Investment Clock Indicator – A cycle-based approach to market rotation. This indicator contains more information regarding The Investment Clock.
By combining these approaches, the Investment Clock Orbital Graph enables traders to visualize economic momentum and inflationary trends in a unique, orbital-style scatter plot.
Key Features & Improvements
Orbital Graph Representation – Displays GDP growth and CPI inflation as a dynamic, evolving scatter plot, showing how the economy moves through different phases.
Quadrant-Based Market Regimes – Identifies four key economic phases:
1)🔥 Overheating (High Growth, High Inflation)
2)📉 Stagflation (Low Growth, High Inflation)
3)🤒 Recovery (High Growth, Low Inflation)
4)🎈 Reflation (Low Growth, Low Inflation)
Data-Driven Analysis – Utilizes FRED (Federal Reserve Economic Data) for accurate real-world GDP & CPI data.
Trailing Path of Economic Evolution – Tracks historical economic cycles over time to show momentum and cyclical movements.
Customizable Parameters – Set sustainable GDP growth and inflation thresholds, adjust trail length, and fine-tune scatter plot resolution.
Auto-Labeled Quadrants & Revised Accurate Market Guidance – Each quadrant includes newly updated tooltips and annotations (like ETF suggestions) to help traders make informed decisions.
Live Macro Forecasting Tool – Helps traders anticipate future market conditions, rate hikes/cuts, and sector rotations.
How to Use for Trading Decisions
The Investment Clock Orbital Graph helps traders and macro investors by identifying market phases and providing insights into asset class performance during different economic conditions.
📌 Step 1: Identify the Current Quadrant
Locate the most recent point on the orbital graph to see if the economy is in Overheating, Stagflation, Recovery, or Reflation.
📌 Step 2: Forecast Market Trends
The trajectory of the points can predict upcoming economic shifts:
Overheating → Stagflation ➡️ Expect economic slowdowns, bearish stock markets.
Stagflation → Reflation ➡️ Interest rate cuts likely, bonds and defensive stocks perform well.
Reflation → Recovery ➡️ Risk-on rally, technology and cyclicals perform best.
Recovery → Overheating ➡️ Commodities surge, inflation rises, and central banks intervene.
📌 Step 3: Align Trading & Investing Strategies
🔥 Overheating – Favor commodities & energy (Oil, Industrial Stocks, Materials).
📉 Stagflation – Favor defensive assets (Cash, Utilities, Healthcare).
🤒 Recovery – Favor growth stocks (Technology, Consumer Discretionary).
🎈 Reflation – Favor bonds, value stocks, and financials.
📌 Step 4: Monitor Trends Over Time
The indicator visualizes economic movement over multiple months, allowing traders to confirm long-term trends vs. short-term noise.
The Investment Clock Orbital Graph is an essential macro trading tool, providing a real-time visualization of economic conditions. By tracking GDP growth vs. CPI inflation, traders and investors can align their portfolios with major macroeconomic shifts, predict sector rotations, and anticipate central bank policy changes.
Forecasting
IU BBB(Big Body Bar) StrategyDESCRIPTION
The IU BBB (Big Body Bar) Strategy is a price action-based trading strategy that identifies high-momentum candles with significantly larger body sizes compared to the average. It enters trades when a strong bullish or bearish move occurs and manages risk using an ATR-based trailing stop-loss system.
USER INPUTS:
- Big Body Threshold – Defines how many times larger the candle body should be compared to the average body ( default is 4 ).
- ATR Length – The period for the Average True Range (ATR) used in the trailing stop-loss calculation ( default is 14 ).
- ATR Factor – Multiplier for ATR to determine the trailing stop distance ( default is 2 ).
LONG CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is higher than the opening price (bullish candle).
SHORT CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is lower than the opening price (bearish candle).
LONG EXIT:
- ATR-based trailing stop-loss dynamically adjusts, locking in profits as the price moves higher.
SHORT EXIT:
- ATR-based trailing stop-loss dynamically adjusts, securing profits as the price moves lower.
WHY IT IS UNIQUE:
- Unlike traditional momentum strategies, this system adapts to volatility by filtering trades based on relative candle size.
- It incorporates an ATR-based trailing stop-loss, ensuring risk management and profit protection.
- The strategy avoids choppy market conditions by only trading when significant momentum is present.
HOW USERS CAN BENEFIT FROM IT:
- Catch Strong Price Moves – The strategy helps traders enter trades when the market shows decisive momentum.
- Effective Risk Management – The ATR-based trailing stop ensures that winning trades remain profitable.
- Works Across Markets – Can be applied to stocks, forex, crypto, and indices with proper optimization.
- Fully Customizable – Users can adjust sensitivity settings to match their trading style and time frame.
EMA Scalping - No Stop LossStrateji Özeti: EMA Scalping - Zararı Durdurmak Yok
Genel Amaç
Bu strateji, altcoinlerde 1 ve 5 dakikalık zaman aralığında scalping yapmak için tasarlandı.
Hedefi:
1- Sinyal Sayısını Makul Tutmak: Çok az veya çok fazla sinyal değil, dengeli bir sıklık.
2- Kaybedilen İşlemleri Azaltmak: Yanlış açma filtreleyerek kârlı çıkış verimini artırmak.
3- Kafa Karışıklığını Önlemek: Stop-loss olmadan sade bir giriş-çıkış yapısı sunar.
Temel Mantık
1- EMA Kesişimi: Fiyat, 13 dönemlik EMA'yı yukarı veya aşağı kestiğinde sinyallerle üretildi.
2- Güçlü Filtreler: ADX, hacim ve mum bağlantılarıyla yalnızca güvenilir hareketlerde işlem yapılır.
3- Kâr Hedefi: ATR tabanlı bir hedefle pozisyonlar kârlı kapanır; zararı durdurma yoktur.
Ne Olunca Almalıyım?
Koşullar:
1- Fiyat, 13 EMA'yı yukarı keser (fiyat EMA'nın üstüne çıkar).
Mum yeşil kapanır (kapanış > açılış), yani yükseliş onaylanır.
2- ADX > 30: Güçlü bir trend olduğunu gösterir.
Hacim 1.5x MA'dan büyük: Hareketin hacimle desteklenmesi doğrular.
Kısa pozisyon yoksa.
3- Grafik: Yeşil "AL" üçgeni göründüğünde uzun pozisyonlarda açılıyor.
Kâr Hedefi: Giriş fiyatı + (ATR * 1,5).
Türkçe: Örnek:
Fiyat: 0.001, EMA: 0.00099
Mum yeşili kapanır (0,001 > 0,00099)
ADX: 32, Hacim: 1.5x
Giriş: 0,001, Kâr Hedefi: 0,00115 (ATR = 0,0001)
Ne Olunca Satmalıyım?
Koşullar:
1- Fiyat, 13 EMA'yı aşağı keser (fiyat EMA'nın adına iner).
Mum kırmızı kapanır (kapanış < açılış), yani düşüş onaylanır.
ADX > 30: Güçlü bir trend olduğunu gösterir.
2- Hacim 1.5x MA'dan büyük: Hareketin hacimle desteklenmesi doğrular.
Uzun pozisyon yoksa.
3- Grafik: Kırmızı "SAT" üçgeni göründüğünde kısa pozisyonda açılıyor.
Kâr Hedefi: Giriş fiyatı - (ATR * 1,5).
Türkçe: Örnek:
Fiyat: 0.0009, EMA: 0.00091
Anne kırmızısı kapanır (0,0009 < 0,00091)
ADX: 31, Hacim: 1.5x
Giriş: 0,0009, Kâr Hedefi: 0,00075 (ATR = 0,0001)
Ne Olunca Çıkma mı?
1- Uzun Pozisyon: Fiyat, kâr hedefine (giriş + ATR*1.5) ulaşırsa biter.
2- Kısa Pozisyon: Fiyat, kâr hedefine (giriş - ATR *1.5) ulaşırsa biter.
Not: Zararı durdurma yok; Ücretler kâr hedefi vurulana kadar açık kalır. Ters yöndeki büyük hareketlerde manuel kapatmayı düşünebilirsiniz.
Türkçe: Örnek:
Uzun: Giriş 0.001, Kâr Hedefi 0.00115 → Fiyat 0.00115'e ulaşırsa kapanır.
Kısa: Giriş 0.0009, Kâr Hedefi 0.00075 → Fiyat 0.00075'e ulaşırsa kapanır.
Stratejinin Özellikleri
Giriş Koşulları:
1- EMA 13: Fiyatın trend belirleyicisi.
Yeşil/Kırmızı Anne: Kesişimin gücü doğrular.
2- ADX > 30: Zayıf trendleri eleyerek dayanıklılığı arttırır.
Hacim 1.5x: Güçlü momentumu garanti eder.
3- Pozisyon Kontrolü: Aynı ve uzun ve kısa pozisyon açılmaz.
Çıkış Koşulları:
Sadece kâr hedefi (ATR*1.5) ile kapanır.
Zararı durdurma olmadığı için sade ve öngörülebilir.
Avantajlar:
1- Yanlış ayırmalar, kaybedilen işlem miktarının düşmesi.
2- Scalping için yeterli sinyal üretir.
3- Kafa karışıklığını önler.
Riskli:
Stop-loss olmaması, ters yöndeki büyük hareketlerdeki pozisyonların açık dağılımının nedeni olabilir. Manuel izleme önerilir.
Global M2 MACD (Bitcoin Predictor)Global M2 Money Supply MACD Indicator
This indicator provides a MACD-based analysis of the Global M2 Money Supply, offering insights into potential buy and sell signals for Bitcoin.
How It Works
The M2 Money Supply represents the total amount of money in circulation, including cash, checking deposits, and easily convertible near money. It is a key macroeconomic indicator influencing asset prices, including Bitcoin.
The MACD (Moving Average Convergence Divergence) is applied to the Global M2 data to track momentum shifts.
Crossovers between the MACD line and the signal line indicate potential trend reversals, providing actionable insights for Bitcoin traders.
Bullish Crossover (MACD crosses above signal line) → Possible buy signal
Bearish Crossover (MACD crosses below signal line) → Possible sell signal
How to Use It
This indicator is most effective when combined with on-chain metrics and macro trends for a broader market perspective.
Suitable for long-term Bitcoin investors and macro traders looking to align trades with global liquidity cycles.
Can be used on higher timeframes (daily, weekly) to identify significant market shifts.
Why It’s Unique
Unlike standard MACD indicators, this version applies the concept to global monetary liquidity, offering a macro perspective rather than a price-based trend analysis.
Helps traders anticipate Bitcoin movements based on the expansion or contraction of money supply, which historically correlates with risk-on and risk-off environments.
This indicator is designed for traders who want to incorporate macro liquidity trends into their Bitcoin trading strategy.
Global M2 sandboxshows global m2 (with offset) and calculates correlation with chart
derived from work by MarnyMarek
SemiCircle Cycle Notation PivotsFor decades, traders have sought to decode the rhythm of the markets through cycle theory. From the groundbreaking work of HM Gartley in the 1930s to modern-day cycle trading tools on TradingView, the concept remains the same: markets move in repeating waves with larger cycles influencing smaller ones in a fractal-like structure, and understanding their timing gives traders an edge to better anticipate future price movements🔮.
Traditional cycle analysis has always been manual, requiring traders to painstakingly plot semicircles, diamonds, or sine waves to estimate pivot points and time reversals. Drawing tools like semicircle & sine wave projections exist on TradingView, but they lack automation—forcing traders to adjust cycle lengths by eye, often leading to inconsistencies.
This is where SemiCircle Cycle Notation Pivots indicator comes in. Semicircle cycle chart notation appears to have evolved as a practical visualization tool among cycle theorists rather than being pioneered by a single individual; some key influences include HM Gartley, WD Gann, JM Hurst, Walter Bressert, and RayTomes. Built upon LonesomeTheBlue's foundational ZigZag Waves indicator , this indicator takes cycle visualization to the next level by dynamically detecting price pivots and then automatically plotting semicircles based on real-time cycle length calculations & expected rhythm of price action over time.
Key Features:
Automated Cycle Detection: The indicator identifies pivot points based on your preference—highs, lows, or both—and plots semicircle waves that correspond to Hurst's cycle notation.
Customizable Cycle Lengths: Tailor the analysis to your trading strategy with adjustable cycle lengths, defaulting to 10, 20, and 40 bars, allowing for flexibility across various timeframes and assets.
Dynamic Wave Scaling: The semicircle waves adapt to different price structures, ensuring that the visualization remains proportional to the detected cycle lengths and aiding in the identification of potential reversal points.
Automated Cycle Detection: Dynamically identifies price pivot points and automatically adjusts offsets based on real-time cycle length calculations, ensuring precise semicircle wave alignment with market structure.
Color-Coded Cycle Tiers: Each cycle tier is distinctly color-coded, enabling quick differentiation and a clearer understanding of nested market cycles.
ArrowFx Gravy EG - EG zonesITS JUST SIMPLY SUPPLY AND DEMAND >>>>>Simplified
Its a concept of identifying supply and demand zones across all timeframes this may help you on getting trades ....this is not holy grail
Global M2 Supply Time Shift and SmoothingDescription:
Unlock the power of global money supply analysis with this unique indicator! The "Global M2 Supply Time Shift and Smoothing" overlays the total M2 money supply from major economies worldwide onto your chart, allowing you to explore its relationship with asset prices. Featuring a customizable time offset (default: 70 days) and smoothing period (default: 10 days), this tool lets you shift and refine the M2 data to suit your analysis.
Key features:
Global Coverage: Aggregates M2 data from regions like the Eurozone, North America, Asia, Latin America, and more, converted to USD for consistency.
Adjustable Offset: Shift the M2 timeline forward or backward (up to ±1000 days) to align with price trends or anticipate market moves.
Smoothing Option: Apply a Simple Moving Average (SMA) to filter noise and highlight trends, with a configurable period (1–100 days).
Dual Plot: Displays smoothed M2 (yellow, right axis) alongside raw M2 (gray, right axis) for comparison with your asset’s price (left axis).
Originally inspired by Colin Talks Crypto, this indicator was enhanced with adjustable offset and smoothing by Grok (xAI) and Antony1Compton. Perfect for traders and analysts studying macroeconomic influences on markets. Adjust the settings, experiment, and uncover hidden correlations!
ESTX50 Relative Strength Screener: 5M & 1DRelative Strength screener for trading the Euro STOXX 50 market.
RSI & Volume Buy/Sell Signals with EMAs & Targetsit based on rsi volume and ema indicator it gives buy and sell signal based on rsi volume and ema. easy to trade on any stock and index
Enhanced MACD + RSI + OBV for Monthly/WeeklyMACD for Trend and Momentum
Uses 12, 26, and 9-period settings.
Detects bullish and bearish crossovers.
Displays MACD line, Signal line, and Histogram.
RSI for Overbought/Oversold Conditions
Uses a 14-period RSI.
Identifies rising vs. falling RSI trends.
Helps confirm buy/sell signals.
OBV for Volume Confirmation
Checks rising vs. falling OBV trends.
Uses a 20-period EMA (Exponential Moving Average) of OBV.
Detects bullish and bearish OBV divergences.
ADX for Trend Strength Filtering
Uses 14-period ADX with 14-period smoothing.
Determines if the trend is strong (above the threshold).
Can be enabled/disabled as a filter.
Signal Strength Calculation (1-10 Scale)
Each indicator contributes to the signal strength.
Higher signal strength = stronger buy/sell signal.
Visual & Alert Features
Plots MACD, RSI, and OBV on the chart.
Buy/Sell signals appear as arrows (triangle up/down).
Alerts for strong buy/sell signals.
Net Margin + Dividend % / Price to BookWBF - Warren Buffet Formula
((Net Margin % + Dividend %)/Price to Book)
RE CYCLE
Simple APF Strategy Backtesting [The Quant Science]Simple backtesting strategy for the quantitative indicator Autocorrelation Price Forecasting. This is a Buy & Sell strategy that operates exclusively with long orders. It opens long positions and generates profit based on the future price forecast provided by the indicator. It's particularly suitable for trend-following trading strategies or directional markets with an established trend.
Main functions
1. Cycle Detection: Utilize autocorrelation to identify repetitive market behaviors and cycles.
2. Forecasting for Backtesting: Simulate trades and assess the profitability of various strategies based on future price predictions.
Logic
The strategy works as follow:
Entry Condition: Go long if the hypothetical gain exceeds the threshold gain (configurable by user interface).
Position Management: Sets a take-profit level based on the future price.
Position Sizing: Automatically calculates the order size as a percentage of the equity.
No Stop-Loss: this strategy doesn't includes any stop loss.
Example Use Case
A trader analyzes a dayli period using 7 historical bars for autocorrelation.
Sets a threshold gain of 20 points using a 5% of the equity for each trade.
Evaluates the effectiveness of a long-only strategy in this period to assess its profitability and risk-adjusted performance.
User Interface
Length: Set the length of the data used in the autocorrelation price forecasting model.
Thresold Gain: Minimum value to be considered for opening trades based on future price forecast.
Order Size: percentage size of the equity used for each single trade.
Strategy Limit
This strategy does not use a stop loss. If the price continues to drop and the future price forecast is incorrect, the trader may incur a loss or have their capital locked in the losing trade.
Disclaimer!
This is a simple template. Use the code as a starting point rather than a finished solution. The script does not include important parameters, so use it solely for educational purposes or as a boilerplate.
Ethereum Logarithmic Regression Bands (Fine-Tuned)This indicator, "Ethereum Logarithmic Regression Bands (Fine-Tuned)," is my attempt to create a tool for estimating long-term trends in Ethereum (ETH/USD) price action using logarithmic regression bands. Please note that I am not an expert in financial modeling or coding—I developed this as a personal project to serve as a rough estimation rather than a precise or professional trading tool. The data was fitted to non-bubble periods of Ethereum's history to provide a general trendline, but it’s far from perfect.
I’m sharing this because I couldn’t find a similar indicator available, and I thought it might be useful for others who are also exploring ETH’s long-term behavior. The bands start from Ethereum’s launch price and are adjustable via input parameters, but they are based on my best effort to align with historical data. With some decent coding experience, I’m sure someone could refine this further—perhaps by optimizing the coefficients or incorporating more advanced fitting techniques. Feel free to tweak the code, suggest improvements, or use it as a starting point for your own projects!
How to Use:
** THIS CHART IS SPECIFICALLY CODED FOR ETH/USD (KRAKEN) ON THE WEEKLY TIMEFRAME IN LOG VIEW**
The main band (blue) represents the logarithmic regression line.
The upper (red) and lower (green) bands provide a range around the main trend, adjustable with multipliers.
Adjust the "Launch Price," "Base Coefficient," "Growth Coefficient," and other inputs to experiment with different fits.
Disclaimer:
This is not financial advice. Use at your own risk, and always conduct your own research before making trading decisions.
Multiple EMA CrossEMA Calculation:
ema5 is the 5-period EMA.
ema13 is the 13-period EMA.
ema26 is the 26-period EMA.
Cross Checks:
ema5_cross_ema13 checks if the 5 EMA crosses the 13 EMA (both crossover and crossunder).
ema5_cross_ema26 checks if the 5 EMA crosses the 26 EMA (both crossover and crossunder).
ema13_cross_ema26 checks if the 13 EMA crosses the 26 EMA (both crossover and crossunder).
Condition Check:
all_conditions_met is true when all three conditions are met on the same candle.
Plot EMAs:
The plot function is used to display the EMAs on the chart with different colors.
Plot Signal:
The plotshape function is used to display a label above the bar when all conditions are met.
This script will highlight the candles where the specified EMA cross conditions occur simultaneously.
LF-Free Trend MasterLF-Free Trend Master is a powerful trading indicator that combines multiple techniques, including TMA (Triangular Moving Average), AlphaTrend, and HLC Cloud, to help traders identify trends, entry points, and risk management strategies effectively.
🔹 Key Features:
✅ HLC Cloud: Identifies support and resistance zones based on historical highs and lows.
✅ TMA Bands: Uses a triangular moving average to filter market noise and detect the primary trend.
✅ AlphaTrend Signal: Helps spot trend reversals and momentum-based trade signals.
✅ Risk Management System: Automatically suggests Stop Loss (SL) and Take Profit (TP) levels based on ATR.
✅ Session Analysis: Highlights major trading sessions (London, New York, Tokyo, Sydney) to optimize trading strategies based on market volatility.
🔹 How It Works:
📌 A Buy Signal (▲) appears when the indicator detects a strong bullish trend, along with recommended SL & TP levels.
📌 A Sell Signal (▼) is triggered when the system identifies a bearish trend, providing optimal entry and exit points.
📌 The TMA Bands Color helps traders recognize trend direction:
Green = Uptrend
Red = Downtrend
📌 Trading sessions are highlighted to show the most volatile periods for better trade timing.
🔹 Why Choose LF-Free Trend Master?
✔️ Reduces market noise and filters out false signals.
✔️ Clearly defines trend directions for easier decision-making.
✔️ Provides automatic entry, exit, and risk management recommendations.
✔️ Helps traders optimize strategies based on trading sessions.
LF-Free Trend Master is ideal for trend-following and reversal traders. Test it in a demo environment before applying it to live trading for the best results! 🚀
M2 Global Liquidity Index - 10 Week Lead
M2 Global Liquidity Index - Forward Projection (10 Weeks)
This indicator provides a 10-week forward projection of the M2 Global Liquidity Index, offering traders insight into potential future market conditions based on global money supply trends.
What This Indicator Shows
The M2 Global Liquidity Index aggregates M2 money stock data from five major economies:
- China (CNY)
- United States (USD)
- European Union (EUR)
- Japan (JPY)
- Great Britain (GBP)
All values are converted to USD and presented as a unified global liquidity metric, providing a comprehensive view of worldwide monetary conditions.
Forward Projection Feature
This adaptation displays the indicator 10 weeks ahead of the current price, allowing you to visualize potential future liquidity conditions that might influence market behavior. The projection maintains data integrity while providing an advanced view of the liquidity landscape.
Trading Applications
- Anticipate potential market reactions to changing global liquidity conditions
- Identify divergences between projected liquidity and current price action
- Develop longer-term strategic positions based on forward liquidity projections
- Enhance your macro-economic analysis toolkit
Credit
This indicator is an adaptation of the original "M2 Global Liquidity Index" created by Mik3Christ3ns3n. Full credit for the original concept and implementation goes to the original author. This version simply adds a 10-week forward projection to the existing calculations.
Disclaimer
This indicator is for informational purposes only and should be used as one of many tools in your analysis. Past performance and projections are not guarantees of future results.
MTF ATR BandsA simple but effective MTF ATR bands indicator.
The script calculate and display ATR bands low and high of the current timeframe using high, low inputs and an RMA moving average, adding to it ATR of the period multiplied with the user multiplier, default is set to 1.5.
Than is calculated a smoothed average of the range and the color of it based on its slope, same color is used to fill the atr bands.
Than the higher timeframe bands are calculated and displayed on the chart.
How can be used ?
The higher timeframe average and bands can give you long term direction of the trend and the current timeframes moving average and filling short term trend, for example using the 15 min chart with a 4h HTF bands, or an 1h with a daily, or a daily with an weekly or weekly with bi-monthly atr bands.
Also can be used as a stop loss indicator.
Hope you will like it, any question send me a PM.
Linear Regression InterceptLRI-LINEAR REG INTERCEPT-Linear regression is a statistical tool used to help predict future values from past values. It is commonly used as a quantitative way to determine the underlying trend and when prices are overextended. A linear regression trendline uses the least squares method to plot a straight line through prices so as to minimize the distances between the prices and the resulting trendline. This linear regression intercept indicator plots the intercept for the trendline for each data point.
IU Gap Fill StrategyThe IU Gap Fill Strategy is designed to capitalize on price gaps that occur between trading sessions. It identifies gaps based on a user-defined percentage threshold and executes trades when the price fills the gap within a day. This strategy is ideal for traders looking to take advantage of market inefficiencies that arise due to overnight or session-based price movements. An ATR-based trailing stop-loss is incorporated to dynamically manage risk and lock in profits.
USER INPUTS
Percentage Difference for Valid Gap - Defines the minimum gap size in percentage terms for a valid trade setup. ( Default is 0.2 )
ATR Length - Sets the lookback period for the Average True Range (ATR) calculation. (default is 14 )
ATR Factor - Determines the multiplier for the trailing stop-loss, helping in risk management. ( Default is 2.00 )
LONG CONDITION
A gap-up occurs, meaning the current session opens above the previous session’s close.
The price initially dips below the previous session's close but then recovers and closes above it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
SHORT CONDITION
A gap-down occurs, meaning the current session opens below the previous session’s close.
The price initially moves above the previous session’s close but then closes below it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
LONG EXIT
An ATR-based trailing stop-loss is set below the entry price and dynamically adjusts upwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
SHORT EXIT
An ATR-based trailing stop-loss is set above the entry price and dynamically adjusts downwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
WHY IT IS UNIQUE
Precision in Identifying Gaps - The strategy focuses on real price gaps rather than minor fluctuations.
Dynamic Risk Management - Uses ATR-based trailing stop-loss to secure profits while allowing the trade to run.
Versatility - Works on stocks, indices, forex, and any market that experiences session-based gaps.
Optimized Entry Conditions - Ensures entries are taken only when the price attempts to fill the gap, reducing false signals.
HOW USERS CAN BENEFIT FROM IT
Enhance Trade Timing - Captures high-probability trade setups based on market inefficiencies caused by gaps.
Minimize Risk - The ATR trailing stop-loss helps protect gains and limit losses.
Works in Different Market Conditions - Whether markets are trending or consolidating, the strategy adapts to potential gap fill opportunities.
Fully Customizable - Users can fine-tune gap percentage, ATR settings, and stop-loss parameters to match their trading style.
Quantitative Qualitative Estimation (QQE) Revised @langshenPurpose: The QQE indicator helps identify buy and sell signals on a price chart. It uses a combination of RSI (Relative Strength Index) and smoothing techniques to generate fast and slow lines, then plots signals based on their crossovers.
Setup:
Price Source: By default, it uses the closing price (close), but you can change it.
RSI Length: Set to 14 by default. This controls how many periods are used to calculate RSI.
Smoothing Factor: Set to 5. This smooths the RSI data.
Slow Calculation: Set to 4.236. This adjusts the slow line’s sensitivity.
How It Works:
The indicator calculates a "fast line" (based on smoothed RSI) and a "slow line" (adjusted by volatility).
When the fast line crosses above the slow line, it’s a buy signal.
When the fast line crosses below the slow line, it’s a sell signal.
Signals on Chart:
Buy Signal: A small green circle appears below the price bar when a buy signal occurs.
Sell Signal: A small red circle appears above the price bar when a sell signal occurs.
Usage:
Add this indicator to your chart in a platform like TradingView (it’s written in Pine Script v5).
Watch for the green and red circles to decide when to buy or sell.
Use it with other indicators or analysis for better decisions, as it’s not a standalone tool.
Round NumbersTries to only show major round numbers regardless of whether you're looking at something priced in the thousands or under a dollar.
