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.
Forecasting
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.
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.
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.
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! 🚀
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.
Global M2 Money Supply w/ Days OffsetYet another iteration of the Global M2 Money Supply indicator. This one is grabbed from Colin Talks Crypto who collected it from various sources. It combines numerous M2 charts into a single unified chart and allows time-shifting it against the base chart. Try it with offset values such as 45 or 72.
My changes: This one should have the correct offset in days regardless of the chart time frame. It's still probably a good idea to hide it with timeframes lower than a day or so.
MK FractalsFraktal Indikator wo die von den Fraktalen jeweils Linien gezogen werden, bis zu von einer Kerze gekreuzt/rausgenommen wird. Hier werden die Linien der rausgenommenen Fraktale gelöscht.
Buy/Sell Signals based on EMA CrossI, Kimaya Bavakay have done some backtesting for you, Please use this on DAILY TF ONLY and It shall only be used for EQUITY STOCKS!!!
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.
Polynomial Multiplication using CRTMultiplies two polynomials under different moduli
Uses modular arithmetic to store intermediate results
Applies the Chinese Remainder Theorem (CRT) to reconstruct the final polynomial product
Displays the computed value on the TradingView chart
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.
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.
Round NumbersTries to only show major round numbers regardless of whether you're looking at something priced in the thousands or under a dollar.
Pawel ScalperThe Pawel Scalper is a trading indicator designed to identify trend shifts and potential trade opportunities using multiple Exponential Moving Averages (EMA). It utilizes the following key components:
EMA Crossovers:
Large buy/sell signals are generated when EMA5 crosses above EMA100 (buy) or below EMA50 (sell).
Small buy/sell signals are triggered when EMA10 crosses EMA20, indicating short-term trend changes.
Dynamic EMA Visualization:
EMA10, EMA20, and EMA200 are plotted with customizable colors and thickness.
The space between EMA10 and EMA20 is shaded dynamically to reflect trend direction.
Background Shading:
The entire chart background changes based on EMA10's position relative to EMA200:
Green shading when EMA10 is above EMA200 (bullish bias).
Red shading when EMA10 is below EMA200 (bearish bias).
This indicator is particularly useful for scalpers and trend-following traders who rely on EMA crossovers and visual cues for quick decision-making.
Multi-Timeframe RSI Levelsdraws 45, 55 , 65 rsi levels with a thin blue line . plots rsi 14 of daily timeframe with a black line , rsi 14 of weekly timeframe with green line , rsi 14 of monthly timeframe with blue line
Pivot Points Standardcamarilla pivots
camarilla pivots
camarilla pivots
camarilla pivots
camarilla pivots
camarilla pivots
camarilla pivots
camarilla pivots
camarilla pivots
camarilla pivots
Pivot Points Standardexpanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
expanded floor pivots with cpr
Custom RSI with Dynamic SMA(50) draws 45, 55 , 65 rsi levels with a thin blue line , plot rsi(14) with a black line , plot sma(9) of rsi(14) with a blur line , plot sma(50) of rsi(14) with a line which turns green when sma(50) of rsi 14 starts increasing and turns red when it starts decreasing
Buy/Sell with EMA and RSIBuy/Sell with EMA and RSI 5 and 15 candle
เรียนเชิญครับพ่อแม่พี่น้องมารวยๆๆๆๆๆ
ReadyFor401ks Pivot / Support / ResistOverview
The ReadyFor401ks Pivot / Support / Resist indicator is a versatile tool designed to help traders identify key price levels—pivots, supports, and resistances—derived from a higher timeframe. This indicator recalculates levels based on a user-defined timeframe, providing you with a broader context for potential market reversals and continuations.
Key Features and Benefits
• Customizable Higher Timeframe:
You can select the frequency at which the levels are recalculated. For example, on a Daily chart, you might choose a 3-month timeframe to determine the pivot levels. This allows you to capture longer-term support and resistance zones that can be crucial for identifying major price reactions.
• Visual Clarity:
With toggles to show or hide the pivot, support, and resistance lines on the price chart, you have full control over the visual clutter on your chart. Additionally, you can choose to display the exact price values directly on the price scale, giving you an immediate reference as you trade.
• Enhanced Data Display:
In addition to price scale labels, the indicator offers an option to show the level values on the status line (data window). This feature is especially beneficial for traders who want to keep a close eye on these key levels without compromising chart space.
Practical Example
Imagine you’re analyzing a Daily chart while the indicator is set to recalculate levels on a 3-month frequency . Over a three-month period, the indicator determines a pivot point (P) along with three levels of resistance (R1, R2, R3) and support (S1, S2, S3). As price action unfolds, you may observe that:
• Price approaches the pivot level (P): This could indicate a potential reversal or a consolidation zone.
• Price bounces off a resistance level (e.g., R1): Signaling that the market is struggling to break higher.
• Price finds support at S1: Providing an opportunity to look for a bullish reversal.
By combining these insights with your own technical analysis, you can make more informed trading decisions based on significant levels that have been validated over a longer timeframe.
Conclusion
The ReadyFor401ks Pivot / Support / Resist indicator is ideal for traders who want to add an extra layer of confirmation to their trading strategies by identifying key price levels derived from higher timeframe data. Whether you’re a swing trader or a long-term investor, this tool helps you visualize crucial support and resistance areas, improving your market timing and risk management. Enjoy the enhanced clarity and flexibility this indicator offers on your TradingView charts!
Madrid Bull Bear SentimentMadrid Bull Bear Sentiment modified so that it shows you when the trend is changing