Daily High-Low Range BoxesGenerated by ChatGPT: "Please write me an indicator that draws boxes, showing the high-to-low range of each trading day. Boxes are colored based on price direction: green when the current price is above the day's opening price (bullish) and red when the current price is below the day's opening price (bearish)"
Chỉ báo và chiến lược
Monday Range (Lines) with Fib LevelsMonday Range with Fibonacci Levels Indicator - Description
This advanced TradingView indicator combines the power of Monday Range analysis with Fibonacci extension levels to help traders identify key weekly support and resistance zones.
Key Features:
Monday Range Detection:
Automatically detects and plots the high and low of each Monday's trading range (configurable for Sunday open markets)
Displays customizable horizontal lines for the weekly opening range
Adjustable lookback period (1-52 weeks)
Fibonacci Extension Levels:
Plots 9 key Fibonacci levels (-1.618, -1.272, -0.618, 0, 0.5, 1, 1.618, 2.272, 2.618) relative to Monday's range
Each Fib level is fully customizable (color, visibility, label)
Negative Fib levels extend below Monday low for potential reversal zones
Customizable Visuals:
Choose between solid, dotted or dashed line styles
Adjustable line thickness and colors
Configurable label text and positioning
Toggle individual elements on/off as needed
How Traders Use It:
Swing Traders: Identify weekly support/resistance levels for trade entries and exits
Breakout Traders: Watch for price reactions at Fibonacci extension levels beyond Monday's range
Mean Reversion Traders: Use negative Fib levels as potential reversal zones
Institutional Flow Analysis: Monitor how price reacts at key weekly levels
Settings Overview:
Market Open Day selection (Sunday/Monday)
Number of historical weeks to display (1-52)
Complete styling control for all lines and labels
Individual toggle controls for each Fibonacci level
Why It's Unique:
This indicator provides a rare combination of institutional weekly range analysis with mathematically precise Fibonacci extensions, giving traders a complete picture of both standard and extended price reaction zones that develop from the weekly opening range.
Perfect for forex, crypto, and index traders who want to incorporate weekly opening range strategies with Fibonacci price projection techniques.
Cuerpo total de Velas Alcistas vs BajistasGenerated by ChatGPT -write an indicator that counts the last x bars (parameter that can be adjustable by user) and measures the body of the bullish and bearish candles. So loop through the last x candles (parameter that can be adjustable by user), measure each body size, and add them to eather a bullish or bearish total
Candlestick pattern + FVG + sessionThis script includes three main features:
1) Candlestick Pattern Identification: It highlights bullish and bearish candlestick sequences.
2) Fair Value Gap (FVG) Detection: It detects Fair Value Gaps (FVG) and highlights them on the chart.
3) Session Ranges: The script allows the user to define and visualize trading session ranges (Session 1 and Session 2), as well as their high and low points.
*Let me know in the comments if you'd like to see more indicators like this one.
-------------------------------------KEY FEATURES-------------------------------------
CANDLESTICK PATTERN IDENTIFICATION:
(The script checks for a specific candlestick pattern)
Bullish Pattern: The script identifies two consecutive candles where both are BLACK (downward trend).
Bearish Pattern: The script identifies two consecutive green candles (upward trend).
If the pattern is identified, it colors the bars of the candles accordingly:
Green for bullish (upward).
black for bearish (downward).
FAIR VALUE GAP (FVG) DETECTION:
The script identifies Bullish and Bearish Fair Value Gaps (FVG):
A Bullish FVG occurs when the low of the current bar is higher than the high of the bar two periods ago.
A Bearish FVG occurs when the high of the current bar is lower than the low of the bar two periods ago.
When a gap is detected, a colored box is drawn on the chart to represent the gap area. The user can customize the color and opacity of the boxes.
SESSION RANGES:
The user can define the time range for Session 1 and Session 2.
"Session 1 is by default configured to align with the regular trading hours, starting at 9:30 AM (market open) and ending at 4:00 PM (market close).
Session 2 is by default configured to begin at 9:30 AM (market open) and conclude 30 minutes thereafter."
The script can plot the high and low points of each session and display them on the chart as lines. These points can be customized to be visible or hidden, and the session ranges can also be highlighted with a box.
Additionally, the script allows users to control whether the max/min points for each session should be displayed.
This script can be used by traders who want to identify candlestick patterns, detect FVGs, and monitor session ranges on their charts. It is particularly useful for traders who focus on price action and market structure, as it allows for visual analysis of inefficient areas during the trading sessions of the day
( This script has been tested only on the H4 timeframe.)
London ORB + Session High/Low + FVGLondon ORB + Session High/Low + FVG
📘 Script Description: London ORB + Session High/Low + Fair Value Gap
This script is designed to assist intraday traders during the London session open by combining:
🕒 1. Opening Range Breakout (ORB)
Captures the high and low of the first 15-minute candle after the London open (08:00–08:15 GMT).
Draws lines and labels for the ORB High and Low levels.
Detects breakouts above or below the ORB and plots a triangle signal at the breakout bar.
🌐 2. Asian & US Session Levels
Automatically marks the highs and lows of the Asian (00:00–06:00 GMT) and US (13:30–20:00 GMT) sessions.
Useful for identifying prior session liquidity zones, key support/resistance levels, and potential reaction areas.
📉 3. Fair Value Gaps (FVG)
Highlights imbalances in price action between non-overlapping candles (also known as FVGs or inefficiencies).
Draws a shaded box between candles where gaps exist:
Green for bullish FVGs
Red for bearish FVGs
🔔 4. Alert Support
Optional alerts are built in for:
Long breakout (price breaks above ORB)
Short breakout (price breaks below ORB)
🎯 Use Case
Perfect for:
Day traders looking to capitalize on early volatility at the London open
Traders using liquidity-based strategies, retests, or gap-fills
Visualizing and aligning with prior session highs/lows for structure and context
ICT KZ By MrJoe68ICT KZ By MrJoe
"This is the Kill Zone indicator that focuses on setting up the bias for the next day and only trading based on the current session. Is there a way to trade and a trading method purely based on the bias of that session? How to apply the specific method by MrJoe68
BOS → FVG Combo Debug (15m, 1-bar v6)Once you’ve done those, you should start to see:
Yellow/Orange swing‑levels
Green▲/Red▼ where BOS fires
Aqua/Fuchsia● where an FVG appears one bar later
If you still see nothing, try loosening the filters (smaller gapPerc, shorter lookback) or switching symbols until the debug markers appear.
BOS ➝ FVG Combo (15m only, 1‑candle window)How it works:
Timeframe filter ensures nothing plots except on a 15 min chart.
bos_fvg_window = 1 hard‑codes the gap to appear within one candle of the BOS.
It marks BOS (triangles) and then only the FVG that occur in the very next bar (circles).
To use:
Open your 15 min chart in TradingView.
Open the Pine Editor, paste in this script.
Click “Add to Chart”.
Let me know if you’d like to add alerts, entry/exit rules, or any session/time‑of‑day filters!
NR - Price-Action Long/Short [PALS]PALS (acronym for Price Action Long Short ) is a simplified view of Price Action
that computes relative movement of OHLC values (from chart) between consecutive bars to mark probable Long/Short signals on the price chart.
Combining PALS with Heikin-Ashi charts and SuperTrend(5, 1.432) is recommended but not mandatory.
Inspiration for this script comes from Buy/Sell Indicator by Prakash EEE:
What PALS does and why?
Search for simplification of the complex ema of ema based range shrinking logic learnt from Prakash's approach led to -
- the simpler comparison of a two-bar average over previous close and current open with an average of current OHLC values (giving less weight to the opens and more weight to the rest of them).
Crossovers between those two oscillating relative values (difference between the two averages being positive or negative) is the main logic.
PALS marks places where probable long or short trades may be setting up.
How to use PALS?
During trending phases the opposing signals may be used as areas where profit booking could be done while same side signals marking the re-entry/adding to the open positions.
Pairing PALS with a SuperTrend could help in filtering out the frequent turn arounds marked by PALS during sideways phase.
Adding more confirmations could improve the probable yet relatively longer lasting short-term signals.
Impulse Volume Oscillator [Alpha Extract]Impulse Volume Oscillator
A sophisticated indicator designed to identify market impulse moves and volume-based momentum shifts, helping traders capture significant price movements with precision.
Combining price deviations with volume analysis, this oscillator dynamically measures market strength and weakness, providing clear signals for potential trend continuations and reversals.
🔶 Volume-Adjusted Normalization
Utilizes a unique normalization technique that incorporates volume impact to enhance signal quality. This approach ensures the indicator responds more strongly to high-volume price movements while filtering out low-volume noise.
vol_ratio = ta.rsi(volume, 14) / 50
vol_factor = vol_impact > 0 ? 1 + (vol_ratio - 1) * vol_impact : 1
raw_normalized = dev / (ta.stdev(source, bars) * mult)
vol_adjusted = raw_normalized * vol_factor
normalized = ta.sma(vol_adjusted, smooth)
🔶 Adaptive Regime Detection
Incorporates threshold-based regime identification that clearly distinguishes between trending and mean-reverting market conditions. The customizable threshold system allows traders to adapt to different market volatilities and timeframes.
🔶 Customizable Parameters
Fine-tune detection sensitivity with adjustable inputs for lookback period, standard deviation multiplier, volume impact, and signal smoothing. These parameters enable traders to optimize the indicator for various trading styles and market conditions.
❓How It Works
🔶 Impulse Calculation
The oscillator measures price deviation from a moving average baseline, normalized by standard deviation, and then adjusts the signal based on relative volume strength. This creates a responsive yet stable indicator that accurately reflects market momentum.
// Calculate the basis using the selected MA
basis = get_ma(source, bars)
// Calculate the normalized value with volume impact
dev = source - basis
🔶 Dynamic Visualization
The histogram changes color based on signal strength, providing instant visual cues about market conditions. Green bars indicate positive momentum while red bars represent negative momentum, with color intensity reflecting signal strength.
🔶 Trend Confirmation
Built-in trend direction analysis provides confluence with the primary signal, helping traders distinguish between counter-trend bounces and genuine trend reversals. This dual-confirmation approach significantly reduces false signals.
🔶 Visual Alerts & Boundary Tracking
Monitors signal extremes and dynamically adjusts visualization transparency based on signal strength. The indicator highlights particularly strong impulse moves with background shading, making potential trading opportunities immediately apparent.
🔶 Custom Candle Coloring
Optional candle coloring applies the same color logic as the histogram directly to price candles, providing a unified visual framework that helps traders correlate indicator signals with price action.
🔶 Momentum Shift Detection
Automatically identifies important zero-line crossovers that often signify the beginning of new impulse moves. These transition points frequently offer favorable risk/reward entry opportunities.
🔶 Snapshot samples
1 Week
1 Day
15 Min
🔶 Why Choose AE - Impulse Volume Oscillator?
This indicator provides a comprehensive approach to identifying significant market moves by combining volume analysis with price momentum. By offering clear visual signals for both trend continuation and reversal scenarios, it empowers traders to make more informed decisions across various market conditions and timeframes.
Z-Score V2Z-Score Reversal Indicator for TradingView
Catch Overextended Trends & Potential Reversals Using Statistical Z-Scores
📌 Overview
This indicator calculates the Z-score of price movements, helping traders identify overbought and oversold conditions based on standard deviations from the mean.
Plots the Z-score (forest green line) to visualize momentum strength.
Key levels at ±1, ±2, ±3 standard deviations (dashed white lines) highlight potential reversal zones.
Customizable lookback period to adjust sensitivity.
Ideal for:
Mean-reversion strategies
Trend exhaustion detection
Breakout confirmation
📊 How It Works (The Math Behind It)
The Z-score measures how far the current price is from its mean, normalized by standard deviation.
🔹 Formula:
Z = (X − μ) / σ
X = Current price (or selected source)
μ = Simple Moving Average (SMA) over the lookback period
σ = Standard deviation over the lookback period
🎯 Trading Applications
Reversal Trading (Mean Reversion):
Short near +2 or +3 (expecting a pullback toward the mean).
Long near -2 or -3 (expecting a bounce toward the mean).
Trend Continuation (Breakout Confirmation):
If price breaks above +2 or +3, momentum may continue further.
If price breaks below -2 or -3, downtrend may accelerate.
Divergence Detection:
If price makes a new high but Z-score fails to reach prior highs, weakening momentum (bearish divergence).
If price makes a new low but Z-score fails to reach prior lows, potential bullish reversal.
⚙️ Customization Options
Adjustable Lookback Period – Modify sensitivity (shorter = more responsive, longer = smoother).
Source Selection – Apply to close, open, hl2, etc.
Clean Visuals – Plotlines do not distort scaling (only Z-score affects autofit).
First 5-Min Candle Targetssquare root of first five minute candle closing price and target of 45 deg
Nasan Market Phase ClassifierThe Nasan Market Phase Classifier indicator designed to classify market phases using volume, volatility (or momentum), and statistical analysis. Here's a summary of how it works and what it does:
🔍 Core Concept
This indicator classifies the market into four phases based on volume and ATR (or optionally momentum):
High Volume / High ATR or Momentum (HV/HATR): Strong Trend
Low Volume / High ATR or Momentum (LV/HATR): False Breakout / Exhaustion
High Volume / Low ATR or Momentum (HV/LATR): Consolidation
Low Volume / Low ATR or Momentum (LV/LATR): Stagnation
⚙️ Key Settings
Short-Term Length: Used for the active market phase.
Long-Term Length: Used as the expected/benchmark distribution.
Use Momentum: Replaces volatility (ATR) with momentum (custom ROC-based formula).
Use Fixed Alpha: Toggles adaptive vs. fixed weighting in scoring (this is based on variation of the volatility - standard deviation of true range).
📊 How It Works
Volatility or Momentum Scoring:
Uses ATR-based or Momentum-based score depending on the setting.
Applies weighing (alpha) which is based on variability of the volatility itself.
Market Phase Count:
Measures how often each of the 4 volume/volatility combinations occur in:
Short-term window (observed phase)
Long-term window (expected distribution)
Category Proportions:
Calculates percentage share of each category (e.g., % time in HV/HATR).
Plots these on chart to visually see market phase dominance (can be used for screening of pine screener).
Statistical Testing:
IQV (Index of Qualitative Variation): Measures phase diversity (0 = focused, 1 = mixed).
Chi-Squared Test: Compares current vs. historical phase distribution.
Z-Test: Tests if current phase dominance is statistically significant.
📋 Outputs
On-Chart Plots and Tabels:
Strong Trend, False Breakout/Exhaustion, Consolidation, Stagnation
Strength Quality Plot: Trend strength normalized by IQV.
Dynamic Table (Top Right):
Shows each phase’s proportion (the current phase cell is highlighted in yellow), IQV, Chi² value, and current dominant phase. The current candle classification (text) is in purple.
Highlights the dominant phase classification and color-codes significance (the cell highlighted in green highly confident about the classification, orange intermediate confidence and red low confidence). This color coding is not just based on statistical significance it is based on IQV which takes into account how spread the proportions are.
🧠 Interpretation
A dominant HV/HATR phase with low IQV and high Z-Score indicates a strong and statistically significant trend.
High IQV suggests uncertainty or mixed market behavior.
Chi² spike indicates a shift from historical behavior can be used to see is the market behavior changing by changing the long term length say to 252 and short term length to 21 this will tell if the short term behavior is different from the past 252 day behavior.
[Forexroboot super scalper v1]this indicator trade on crypto and forex
trade on any time frame
enjoyed
ins: Forexroboot
[Forexroboot super scalper v1]this indicator trade on crypto and forex
trade on any time frame
enjoyed
ins: Forexroboot
Largest Candles with Price DifferenceThis script shows the largest move on a candle on a particular time frame. So if you are looking at the 10-minute chart, it will tell you what the largest 10-minute candle has been in the past.
[blackcat] L2 Rhythm RiderOVERVIEW
The L2 Rhythm Rider is an advanced technical analysis tool meticulously crafted to assist traders in identifying intricate market rhythms and uncovering lucrative trading opportunities. By integrating sophisticated calculations such as weighted averages, deviations from Simple Moving Averages (SMAs), and bespoke oscillators, this indicator offers profound insights into market dynamics, momentum, and trend reversals. Whether you're a seasoned trader looking to refine your strategies or a novice seeking robust analytical tools, the Rhythm Rider provides a comprehensive suite of features tailored to enhance your decision-making process 📊✅.
FEATURES
Comprehensive Calculation Suite:
Percentage Deviation from SMA: Quantifies the deviation of the current price from the Simple Moving Average, providing a nuanced understanding of price behavior relative to historical trends.
Normalized Price Range: Standardizes price movements within a defined range, offering a clearer perspective on market volatility and stability.
Explore Line and Average: Utilizes Exponential Moving Averages (EMAs) to gauge market momentum, helping traders anticipate potential shifts in direction.
Banker Fund and Average: Evaluates market sentiment across varying timeframes, enabling traders to align their strategies with broader market trends.
RSI-Like Indicator: Delivers a Relative Strength Index-inspired metric that assesses the magnitude of price changes, akin to traditional RSI but with unique enhancements.
Bear Power: Analyzes selling pressure by examining recent highs and lows, providing valuable insights into bearish market conditions.
Enhanced Color Coding:
Overbought Conditions: Values exceeding 70 are emphasized with warm hues like red and orange, signaling potential overbought scenarios where caution is advised 🔥.
Oversold Conditions: Values falling below 60 are accentuated with cool tones such as blue and cyan, indicating oversold situations ripe for potential buying opportunities ❄️.
Adjusted Line Widths:
Improved Visibility: Line widths have been fine-tuned to ensure clear differentiation between various plotted elements, making it easier to interpret complex market data at a glance 👀.
Visual Representation:
Explore Line: Displayed in blue or red, depending on its value, to signify bullish or bearish momentum.
Banker Fund: Illustrated in orange or aqua, reflecting differing levels of market sentiment.
Bear Power: Depicted through purple columns, highlighting areas of significant selling pressure.
Trade Signals:
Buy ('B') and Sell ('S') Labels: Clearly marked on the chart to indicate optimal entry and exit points, facilitating swift and informed trading decisions 🏷️.
Automated Alerts:
Customizable Notifications: Generate alerts based on predefined conditions, ensuring traders never miss out on critical market movements 🔔.
HOW TO USE
Adding the Indicator:
Navigate to your TradingView chart and select the L2 Rhythm Rider from the indicators list.
Interpreting Visual Elements:
Familiarize yourself with the various plotted lines and columns, each representing distinct facets of market momentum and sentiment.
Monitoring Trade Opportunities:
Keep an eye on the chart for buy and sell labels, which signal potential trading opportunities based on the indicator's calculations.
Setting Up Alerts:
Configure alerts to notify you when specific conditions are met, allowing for timely action without constant chart monitoring 📲.
Combining Insights:
Integrate the information derived from all plotted elements to form a holistic view of the market, enhancing the reliability of your trading decisions.
LIMITATIONS
Market Volatility: In highly volatile or ranging markets, the indicator might produce false signals, necessitating additional confirmation from other analytical tools 🌪️.
Supplementary Analysis: For enhanced accuracy, users should complement this indicator with other forms of technical and fundamental analysis.
Asset and Timeframe Sensitivity: The performance of the indicator can fluctuate based on the asset type and chosen timeframe, requiring periodic adjustments and evaluations.
NOTES
Data Sufficiency: Ensure ample historical data is available to facilitate precise calculations and reliable results.
Demo Testing: Thoroughly test the indicator on demo accounts prior to deploying it in live trading environments to understand its nuances and limitations 🔍.
Personalization: Tailor the indicator’s settings and visual preferences to better suit individual trading styles and objectives.
[blackcat] L3 Trendmaster XOVERVIEW
The L3 Trendmaster X is an advanced trend-following indicator meticulously crafted to assist traders in identifying and capitalizing on market trends. This sophisticated tool integrates multiple technical factors, including Average True Range (ATR), volume dynamics, and price spreads, to deliver precise buy and sell signals. By plotting dynamic trend bands directly onto the chart, it offers a comprehensive visualization of potential trend directions, enabling traders to make informed decisions swiftly and confidently 📊↗️.
FEATURES
Customizable Input Parameters: Tailor the indicator to match your specific trading needs with adjustable settings:
Trendmaster X Multiplier: Controls the sensitivity of the ATR-based levels.
Trendmaster X Period: Defines the period over which the ATR is calculated.
Window Length: Specifies the length of the moving window for standard deviation calculations.
Volume Averaging Length: Determines how many periods are considered for averaging volume.
Volatility Factor: Adjusts the impact of volatility on the trend bands.
Core Technical Metrics:
Dynamic Range: Measures the range between high and low prices within each bar.
Candle Body Size: Evaluates the difference between open and close prices.
Volume Average: Assesses the cumulative On-Balance Volume relative to the dynamic range.
Price Spread: Computes the standard deviation of the price ranges over a specified window.
Volatility Factor: Incorporates volatility into the calculation of trend bands.
Advanced Trend Bands Calculation:
Upper Level: Represents potential resistance levels derived from the ATR multiplier.
Lower Level: Indicates possible support levels using the same ATR multiplier.
High Band and Low Band: Dynamically adjust to reflect current trend directions, offering a clear view of market sentiment.
Visual Representation:
Plots distinct green and red trend lines representing bullish and bearish trends respectively.
Fills the area between these trend lines and the middle line for enhanced visibility.
Displays clear buy ('B') and sell ('S') labels on the chart for immediate recognition of trading opportunities 🏷️.
Alert System:
Generates real-time alerts when buy or sell conditions are triggered, ensuring timely action.
Allows customization of alert messages and frequencies to align with individual trading strategies 🔔.
HOW TO USE
Adding the Indicator:
Open your TradingView platform and navigate to the "Indicators" section.
Search for " L3 Trendmaster X" and add it to your chart.
Adjusting Settings:
Fine-tune the input parameters according to your preferences and trading style.
For example, increase the Trendmaster X Multiplier for higher sensitivity during volatile markets.
Decrease the Window Length for shorter-term trend analysis.
Monitoring Trends:
Observe the plotted trend bands and labels on the chart.
Look for buy ('B') labels at potential support levels and sell ('S') labels at resistance levels.
Setting Up Alerts:
Configure alerts based on the generated buy and sell signals.
Choose notification methods (e.g., email, SMS) and set alert frequencies to stay updated without constant monitoring 📲.
Combining with Other Tools:
Integrate the Trendmaster X with other technical indicators like Moving Averages or RSI for confirmation.
Utilize fundamental analysis alongside the indicator for a holistic approach to trading.
Backtesting and Optimization:
Conduct thorough backtests on historical data to evaluate performance.
Optimize parameters based on backtest results to enhance accuracy and reliability.
Real-Time Application:
Apply the optimized settings to live charts and monitor real-time signals.
Execute trades based on confirmed signals while considering risk management principles.
LIMITATIONS
Market Conditions: The indicator might produce false signals in highly volatile or sideways-trending markets due to increased noise and lack of clear direction 🌪️.
Complementary Analysis: Traders should use this indicator in conjunction with other analytical tools to validate signals and reduce the likelihood of false positives.
Asset-Specific Performance: Effectiveness can vary across different assets and timeframes; therefore, testing on diverse instruments is recommended.
NOTES
Data Requirements: Ensure adequate historical data availability for accurate calculations and reliable signal generation.
Demo Testing: Thoroughly test the indicator on demo accounts before deploying it in live trading environments to understand its behavior under various market scenarios.
Parameter Customization: Regularly review and adjust parameters based on evolving market conditions and personal trading objectives.
SMC Structures and FVG By MrJoe68"This is the SMC and FVG indicator used to identify market structure, applied for trading sessions and scalping within sessions. It can be used on all timeframes but is more effective on higher timeframes. It has a specific trading method and application by MrJoe68."
MG Universal model🚀 Summary🚀
The MG univerasal model is a composite of various items such as RSI, price Z-Score, Sharpe Ratio, Sortino Ratio, Omega Ratio, etc
Each component is normalized and then equally wheighted out to perform a global metric.
At the end, an Exponential Moving Average is added on the global metric.
You can easily find a description of each component on the internet, for the Crosby Ratio, it's a metric that comes from bitcoinmagazinepro.com.
✨ Key Features ✨
🗡 Smoothed Global Metric
Using a Moving average to smooth out the whole aggregated metric.
🗡 Bands Zone at extreme levels
Automatically displaying bands at top and bottom levels of the oscillator.
🗡 Normalizing components
Each component is normalized.
🗡 DataTable
Optional DataTable is available to check the score for each components and their related Z-Score.
📊 How I use it 📊
When catching up with 0 line (midline), crossing it :
if it goes above 0.2:
get out when it crosses 0.2 again
else:
get out when it crosses 0 again
That's the way I use it, may be there is a better way, FAFO :)
❓ Seeing a bug or an issue ❓
Feel free to DM me if you see a component that seems badly calculated.
I will be happy to fix it.
❗❗ Disclaimer ❗❗
This is a single indicator, even though it's aggregating many, do not use it as a standalone.
Past performance is not indicative of future results.
Always backtest, check, and align parameters before live trading.
Prior Day HL MidPlots the High, Low and Midpoint of any prior daily candle right on your chart.
Just pick “Days Back” (1, 2, 3, etc.), customize your colors, and see yesterday’s (or n‑days‑ago) range and midpoint in real time.
Scalping Strategy with DCA - V3# Enhanced Scalping Strategy with DCA - V3
## Strategy Overview
This strategy combines multiple technical indicators with a structured Dollar Cost Averaging (DCA) approach to create a comprehensive trading system for cryptocurrency markets. Unlike simple indicator mashups, this strategy integrates several confirmation layers for entries while implementing a sophisticated risk management system based on the 1-2-6 DCA ratio.
## What Makes This Strategy Unique
1. **Multi-Layered Entry Confirmation System**:
- Uses EMA crossover as the primary trigger
- Adds RSI momentum confirmation
- Integrates MACD for trend strength
- Includes RSI divergence for reversal potential
- Incorporates higher timeframe confirmation for trend alignment
2. **Structured Risk Management**:
- Implements a 1-2-6 DCA ratio to strategically average into positions
- Uses percentage-based stop losses that adapt based on DCA status
- Features a two-tiered take profit system (25% at TP1, 50% at TP2)
- Optional breakeven stop loss after second take profit target
- Initial risk limited to a small percentage of account (1-3%)
3. **Versatile Market Adaption**:
- Additional entry opportunities during oversold/overbought Bollinger Band touches
- Customizable filters that can be enabled/disabled based on market conditions
- Higher timeframe confirmation to ensure alignment with larger trends
## How The Components Work Together
### Entry System Components
1. **48 EMA** serves as the primary trend filter and entry trigger. Price crossing above/below this EMA signals a potential trend change.
2. **RSI (Relative Strength Index)** confirms momentum in the intended direction:
- For longs: RSI > 20 shows bullish momentum
- For shorts: RSI < 80 shows bearish momentum
3. **MACD (Moving Average Convergence Divergence)** filters out weak trends:
- For longs: MACD line crosses above signal line
- For shorts: MACD line crosses below signal line
4. **RSI Divergence Detection** identifies potential reversals where price makes a new high/low but RSI fails to confirm, suggesting momentum is weakening.
5. **Higher Timeframe Confirmation** ensures the trade aligns with the larger trend structure by checking EMA and RSI on a higher timeframe (default is daily).
6. **Bollinger Bands** provide additional entry triggers during strong oversold/overbought conditions:
- Long entry when price touches lower band with RSI < 20
- Short entry when price touches upper band with RSI > 80
### The DCA Mechanism
The strategy employs a 1-2-6 ratio for Dollar Cost Averaging:
- **Initial position**: 1 unit based on account risk percentage
- **First DCA level**: Adds 2 units when price moves against initial entry by the first DCA level percentage (default 1%)
- **Second DCA level**: Adds 6 units when price moves further against entry by the second DCA level percentage (default 2%)
This structured approach reduces average entry price during temporary adverse price movements, potentially converting losing trades into winners when the expected price movement eventually occurs.
### Exit Strategy
The strategy uses multiple exit mechanisms:
1. **Tiered Take Profits**:
- First TP at takeProfitPercent1 from entry (default 0.5%) - closes 25% of position
- Second TP at takeProfitPercent2 from entry (default 1.0%) - closes 50% of position
- Remaining 25% runs with trailing stop loss or until stopped out
2. **Stop Loss Management**:
- Initial SL set at stopLossPercent from entry (default 1.5%)
- After full DCA deployment, SL adjusts to fixedSLPercent from entry (default 1.3%)
- Optional breakeven SL after second take profit hits
## Backtesting Settings & Recommendations
For realistic backtesting, please configure the following in the strategy Properties panel:
- **Commission**: 0.075% (typical for major cryptocurrency exchanges)
- **Slippage**: 0.05% (accounts for execution delays and spread)
- **Initial Capital**: $10,000 (realistic starting capital for the average trader)
- **Date Range**: January 2024 to present (provides sufficient sample size)
These settings ensure backtesting results closely match real trading conditions. The strategy is designed to never risk more than 3% of account equity on any trade, with typical risk between 1-2%.
## Recommended Markets & Timeframes
This strategy performs best in:
1. **Markets**:
- Cryptocurrency markets with high liquidity
- Assets with market capitalization > $1 billion
- Coins with holder ratio > 7% (reducing manipulation risk)
2. **Timeframes**:
- Primary: 1-hour and 4-hour charts
- Secondary: 15-minute charts for faster execution
- Higher timeframe confirmation: Daily chart
## Parameter Customization Guide
The strategy offers multiple customization options to adapt to different trading styles and market conditions:
1. **Risk Settings**:
- initialRiskPercent: Adjust between 0.5-2% for conservative to moderate approaches
- stopLossPercent: 1-3% based on volatility of the asset
- takeProfitPercent1/2: Can be adjusted based on average volatility
2. **Entry Filters**:
- Enable/disable MACD filter for additional confirmation
- Enable/disable RSI divergence for reversal trading
- Enable/disable higher timeframe confirmation for trend alignment
3. **DCA Settings**:
- dcaLevel1/2: Adjust based on asset volatility (higher for more volatile assets)
- Change the 1-2-6 ratio by modifying the position size calculations
## Visual Outputs Explained
The strategy displays the following visual elements:
1. **Indicator plots**:
- 48 EMA (blue line): Main trend filter
- Bollinger Bands (upper: red, middle: yellow, lower: green): Volatility and overbought/oversold levels
2. **Trade management levels**:
- Stop Loss level (red circles): Current SL price
- Take Profit levels (green circles): TP1 and TP2 targets
3. **Information panel**:
- Displays strategy settings and current mode
- Shows active filters and risk parameters
- Reminds about market cap and holder ratio requirements
## Real-World Trading Tips
When implementing this strategy in real trading:
1. Start with conservative risk settings (0.5-1%)
2. Trade only in favorable market conditions initially
3. Consider reducing position size during high market uncertainty
4. Monitor higher timeframe trends before taking entries
5. Always check market cap and holder ratio before trading a coin
6. Set up proper alerts for EMA crosses with RSI confirmation
7. Regularly review and adjust parameters based on recent performance
## How to Use This Strategy
1. Add the strategy to your chart
2. Configure risk parameters appropriate for your account
3. Set commission and slippage in the Properties panel
4. Enable/disable the filters based on your trading style
5. Monitor higher timeframe for overall trend direction
6. Use the strategy's signals for entry and the recommended take profit/stop loss levels
7. Consider manual intervention during extreme market events
This strategy provides a systematic approach to scalping with proper risk management through DCA, making it suitable for both beginner and experienced traders in cryptocurrency markets.
Open - CSC Bars - 33 CSC Bars – Early Session Price Action Filter
This script detects when the first three bars of the RTH (Regular Trading Hours) session all move in the same direction — either all bullish or all bearish.
It’s a tool for price action traders who want to develop structured opening strategies by observing clean directional agreement at the session start. The indicator highlights the third bar when the sequence confirms directional bias.
🔍 How It Works:
Monitors the first three bars after the RTH session begins.
If all three bars are bullish, it highlights the third bar (same for bearish sequences).
No projections, signals, or entries—purely a visual tool to observe and study opening behavior.
🎯 Use Case:
This script is designed to help traders build and test opening-based frameworks by identifying potential trend bias early in the day.
Note: This is an open-source utility script with a simple function. It does not generate signals or predictions and is intended to assist with observation and discretionary strategy building.
Multi TF table by marci04This indicator analyzes the relationship between price and multiple EMAs (12, 21, 50, 100, 200) across several timeframes to determine trend direction. It displays the trend on each timeframe as "STRONG UP", "UP", "DOWN", or "STRONG DOWN" in a color-coded table. At the bottom, a "Magic Number" summarizes the overall trend strength by assigning weighted values to each trend and calculating their total.