Mebob High-Low Lines (30 Days)Here is the introduction to the rules:
1. You trade it on the SP500 Index.
2. You use a 5-min chart.
3. You only use it during Regular trading hours only (09:30am – 15:00pm
Eastern Standard time).
A more detailed explanation follows below:
1. The US stock market indices opens at 09:30am New York local time.
2. The 5-min reference bar to wait for is the 10:05am – 10:10am bar.
3. This is the 8th 5min bar into the regular trading session.
4. Observe the high and the low of the reference bar.
5. Draw a horizontal line through the high of the reference bar.
6. Draw a horizontal line through the low of the reference bar.
7. If the SP500 closes above the high of the reference bar “highest line”, it is a
BUY signal.
8. If the SP500 closes below the low of the reference bar “lowest line”, it is a SELL
SHORT signal.
9. The stop loss is placed either at the most recent swing or above/below the
reference bar.
The seemingly erratic performance of the "MeBob" (trading rule) is simply what one
would expect from a trend following system. Bob, who has a lot of good stuff, was
simply giving the newbies a "Trigger" to get them into day trades at good times.
Educational
Liquidation ZonesIntroduction
The "Liquidation Zones" is a sophisticated TradingView indicator designed to assist cryptocurrency traders by highlighting potential liquidation levels for leveraged positions. It identifies price zones where liquidations are likely to occur for various leverage ratios—5x, 10x, 25x, 50x, and 100x—based on pivot points and volume analysis. This tool aims to help traders anticipate market movements driven by liquidations, offering insights into areas of risk or opportunity.
Key Features
Multi-Leverage Visualization: Plots liquidation zones for five leverage levels (5x, 10x, 25x, 50x, 100x), with individual toggles to show or hide each level.
Volume Filtering: Incorporates a customizable volume lookback period to ensure liquidation zones are displayed only during significant market activity.
Pivot-Based Calculations: Uses pivot highs and lows to pinpoint key price levels, forming the foundation for liquidation price estimates.
Customizable Appearance: Allows adjustment of line thickness and assigns unique colors to each leverage level for better visual distinction.
Interactive Dashboard: Features a semi-transparent table displaying the status of each leverage level, using filled (◉) or empty (○) circles to indicate activity.
How It Works
The indicator combines pivot point detection, volume conditions, and leverage-specific calculations to plot liquidation zones on the chart. Here’s a breakdown of its operation:
Pivot Points: Pivot highs and lows are calculated using ta.pivothigh and ta.pivotlow. The lookback and lookforward periods adjust dynamically based on the timeframe (e.g., 2 bars for daily/weekly/monthly, 3 bars otherwise), ensuring relevant support and resistance levels.
Volume Conditions: The check_volume_conditions function analyzes volume over a user-defined lookback period (default: 40 bars). It compares the average volume to a mean volume
threshold:
5x Leverage: Volume > mean volume.
10x Leverage: Volume ≥ 1.025 × mean volume.
25x Leverage: Volume ≥ 1.05 × mean volume.
50x Leverage: Volume ≥ 1.1 × mean volume.
100x Leverage: Volume ≥ 1.2 × mean volume.
These conditions filter out low-volume periods, focusing on impactful market activity.
Liquidation Price Calculation:
For each leverage level, liquidation prices are derived from pivot points and a risk percentage:
Long Liquidations (from pivot lows): pivot_low / (1 + risk_percent)
5x: 0.20, 10x: 0.10, 25x: 0.04, 50x: 0.02, 100x: 0.01
Short Liquidations (from pivot highs): pivot_high * (1 + risk_percent)
These prices represent where leveraged positions might be liquidated based on the leverage used.
Plotting Liquidation Zones: When volume conditions are met and the toggle is enabled, horizontal lines are drawn from the pivot point to the current bar at the calculated liquidation prices. Each leverage level has a distinct color (e.g., cyan for 5x, pink for 100x), with adjustable line thickness (default: 3). Lines persist until the price crosses them or the maximum line count (500) is reached.
Dashboard: A table on the chart’s middle-right displays each leverage level’s status. A filled circle (◉) appears when the volume condition is met and the level is active; an empty circle (○) indicates inactivity. The dashboard uses matching colors for clarity.
Time Filter: The indicator activates only after a user-defined start time (default: January 1, 2023), with a gray background displayed if the chart is outside this period.
Conclusion
The "Liquidation Zones | Opus" indicator is a valuable tool for traders navigating leveraged markets. By plotting liquidation zones tied to pivot points and filtered by volume, it highlights potential areas of price instability. Its flexibility—through toggles, visual settings, and the dashboard—makes it suitable for diverse trading strategies, from scalping to swing trading. Traders can use it to enhance risk management or identify liquidation-driven opportunities.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own analysis before making decisions. The creator is not liable for any financial outcomes resulting from its use.
Dhokiya's Research Analyst-Chetan DhokiyaDescription of "Dhokiya's Research Analyst - Chetan Dhokiya"
Overview: The "Dhokiya's Research Analyst" script is designed for traders who want to identify key price levels based on the first 5-minute candle of the trading day. This script operates within the Indian stock market's trading hours, specifically from 9:15 AM to 3:25 PM. It calculates and visualizes upper and lower price levels derived from the closing price of the first 5-minute candle, providing traders with potential support and resistance levels for the day.
Key Features:
Market Timing: The script is programmed to recognize the market's opening and closing times, ensuring that it only operates during active trading hours.
First 5-Minute Candle Identification: The script identifies the first 5-minute candle of the trading day, which is crucial for setting the day's initial price levels.
Dynamic Level Calculation: It calculates two key levels based on the closing price of the first 5-minute candle:
Upper Level: Set at 0.09% above the closing price of the first candle.
Lower Level: Set at 0.09% below the closing price of the first candle.
Visual Representation: The script draws horizontal lines on the chart to represent the upper and lower levels, allowing traders to easily visualize these critical price points. The upper level is indicated with a green line, while the lower level is shown with a red line.
Line Extension: The lines are dynamically extended throughout the trading day until the market closes at 3:25 PM, providing continuous reference points for traders.
How to Use:
Setup: Add the script to your trading platform during the market hours. Ensure that you are viewing a 5-minute chart for optimal results.
Trading Strategy: Use the upper and lower levels as potential entry and exit points. Traders may consider buying above the upper level and selling below the lower level, depending on market conditions and additional analysis.
Risk Management: Always incorporate risk management strategies when trading around these levels, as price action can be volatile.
Underlying Concepts:
The script leverages the concept of the first candle's price action to establish a framework for the day's trading. The rationale is that the initial price movement can set the tone for the rest of the trading day.
By calculating levels slightly above and below the first candle's close, the script aims to capture potential breakout and reversal points, which are critical for day trading strategies.
Conclusion: "Dhokiya's Research Analyst" is a valuable tool for traders looking to enhance their intraday trading strategies. By focusing on the first 5-minute candle and establishing key price levels, this script provides a structured approach to navigating the market's daily fluctuations. Traders are encouraged to combine these levels with other technical analysis tools and indicators for a comprehensive trading strategy.
0.09 Version Strategy Indicator by Dhokiya's Research Analyst
Mobile - 7575065656
Website - dhokiyas.com/
Email - care@dhokiyas.com
Bitcoin Full Cycle ValuationIntroduction
The "Bitcoin Full Cycle Valuation" is a sophisticated TradingView indicator designed to provide traders and analysts with a comprehensive view of Bitcoin's market conditions. By integrating a diverse set of fundamental and technical indicators, this tool calculates Z-scores to assess whether Bitcoin is overbought, oversold, or in a neutral state. Its primary purpose is to assist users in making informed trading decisions by offering a multi-dimensional evaluation of Bitcoin's valuation, leveraging on-chain data, market sentiment, and technical analysis.
Key Features
Multi-Dimensional Valuation: Combines a wide array of indicators, including MVRV, Bitcoin Thermocap, NUPL, CVDD, SOPR, RSI, CCI, Normalized Moving Averages, Sharpe Ratio, Pi Cycle, NHPF, and VWAP, to deliver a holistic perspective on Bitcoin's market state.
Z-Score Calculation: Normalizes each indicator into a Z-score, enabling standardized comparisons across different metrics and timeframes.
Customizable Visualization: Allows users to select which Z-score to plot (e.g., MVRV, RSI, Average Z-Score) and adjust parameters for each indicator to align with their analysis preferences.
Dynamic Table Display: Presents a detailed table with Z-scores, market conditions (e.g., OverBought, OverSold), and Rate of Change (ROC) for each indicator, enhanced with fixed-width bars for quick visual interpretation.
Bar Coloring and Background Effects: Colors the chart’s price bars based on the selected Z-score and uses background gradients to highlight extreme market conditions, improving visual clarity.
How It Works
The "Bitcoin Valuation Model | Opus" calculates Z-scores for a variety of indicators, each designed to capture distinct aspects of Bitcoin’s market dynamics. These Z-scores are derived using user-defined parameters for smoothing, mean, and scale, offering flexibility for different trading strategies. Below is an overview of the indicators and their roles:
Fundamental Indicators
MVRV (Market Value to Realized Value): Evaluates whether Bitcoin is overvalued or undervalued compared to its realized price, using on-chain data from IntoTheBlock.
Bitcoin Thermocap: Assesses Bitcoin’s price relative to the cumulative cost of mining, normalized over time, starting from January 1, 2012.
NUPL (Net Unrealized Profit/Loss): Measures the overall profit or loss of Bitcoin holders, sourced from Glassnode and CoinMetrics data.
CVDD (Cumulative Value Days Destroyed): Analyzes coin age destruction to infer market tops and bottoms, incorporating volume and market cap data.
SOPR (Spent Output Profit Ratio): Indicates whether spent coins are in profit or loss, providing insight into holder behavior.
Technical Indicators
RSI (Relative Strength Index): Measures the speed and change of price movements to identify overbought or oversold conditions.
CCI (Commodity Channel Index): Detects cyclical trends in Bitcoin’s price movements.
Normalized Moving Averages: Combines multiple moving averages (SMA, EMA, WMA, Median, DEMA) to evaluate trend strength.
Sharpe Ratio: Assesses risk-adjusted returns over a user-defined period.
Pi Cycle: Uses long and short moving averages to detect potential market tops.
NHPF (Normalized Hodrick-Prescott Filter): Applies a filter to separate trend and cycle components of Bitcoin’s price.
VWAP (Volume-Weighted Average Price): Tracks the average price weighted by volume, reset daily.
Z-Score Calculation and Aggregation
Each indicator’s Z-score is calculated by normalizing its raw value against a subjective mean and scale, often smoothed with moving averages or other techniques. The indicator then computes three composite Z-scores:
Fundamental Z-Score: Average of MVRV, Bitcoin Thermocap, NUPL, CVDD, and SOPR.
Technical Z-Score: Average of RSI, CCI, Normalized Moving Averages, Sharpe Ratio, Pi Cycle, NHPF, and VWAP.
Average Z-Score: Average of all twelve indicators.
Visualization
The indicator offers several visualization options:
Plotted Lines and Areas: Users can plot a selected Z-score, with color gradients indicating overbought (pink) or oversold (cyan) conditions.
Horizontal Lines: Reference thresholds at ±1, ±2, and ±3 to gauge the magnitude of Z-scores.
Background Gradients: Highlight extreme conditions when Z-scores exceed user-defined thresholds (e.g., ±2), with dynamic opacity.
Bar Coloring: Optionally colors price bars based on the selected Z-score for rapid visual reference.
Table Display: A customizable table shows each indicator’s Z-score, market condition (e.g., "OverBought," "Slightly OS"), and ROC over a user-defined period (default 7 days), with fixed-width bars for Z-score magnitude.
Conclusion
The "Bitcoin Full Cycle Valuation" is a robust tool for traders and analysts aiming to understand Bitcoin’s market dynamics through a data-driven lens. By aggregating and normalizing a diverse set of indicators into Z-scores, it offers a clear, comprehensive view of Bitcoin’s valuation—whether overvalued, undervalued, or fairly priced. Its customizable settings and rich visualizations make it adaptable to various trading styles, providing valuable insights for both short-term and long-term strategies.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, and users should conduct their own research and analysis before making decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Majors Rotation System IIIntroduction
The "Majors Rotation System II" indicator is an advanced portfolio rotation system designed for traders on the TradingView platform. It dynamically allocates investments across major cryptocurrencies—Solana (SOL), Bitcoin (BTC), and Ethereum (ETH)—based on their relative performance. By employing a sophisticated scoring mechanism that integrates technical indicators and statistical tests, this indicator aims to identify and invest in the strongest assets in the market. It also provides detailed backtesting metrics and customizable visualizations, allowing users to compare the system's performance against a simple Bitcoin buy-and-hold (HODL) strategy. This tool is particularly useful for cryptocurrency traders seeking a systematic approach to portfolio management.
Key Features
Dynamic Asset Rotation: Automatically selects and allocates to the top-performing cryptocurrencies (SOL, BTC, ETH) based on a custom scoring algorithm.
Comprehensive Scoring Mechanism: Combines technical indicators such as Relative Strength Index (RSI) and Exponential Moving Average (EMA) with statistical tests like the Augmented Dickey-Fuller (ADF) test to evaluate asset performance.
Backtesting Metrics: Provides key performance indicators including Sharpe Ratio, Sortino Ratio, Omega Ratio, Maximum Drawdown, and Net Profit, calculated for both the system and a Bitcoin HODL baseline.
Customizable Visualization: Offers a variety of color themes (e.g., Synthwave, Outrun, Lush) and table display options (Signal-Focused or Detailed) for a tailored user experience.
Equity Curve Comparison: Plots the system's equity curve alongside a Bitcoin HODL equity curve, with an optional glow effect for enhanced visual clarity.
How It Works
The "Myriad | Opus" indicator operates through a multi-step process to evaluate and manage a cryptocurrency portfolio:
Asset Scoring: Each asset (SOL, BTC, ETH) is assigned a performance score based on its relative strength compared to the others. This score is calculated using a blend of technical indicators (e.g., RSI, EMA) and statistical measures (e.g., ADF test for stationarity), sourced from imported libraries and custom functions.
Ranking and Selection: The assets are ranked according to their scores, and the top performers are selected for allocation. The system can hold up to three assets simultaneously, with weightings adjusted dynamically based on the number of selected assets. If no assets meet the performance criteria, the system defaults to "CASH."
Market Trend Analysis: The indicator assesses the overall market trend using additional metrics like Equanim valuation. It adjusts its allocation strategy based on whether the market is bullish or bearish, potentially reducing exposure during unfavorable conditions.
Equity Curve Calculation: The system simulates the portfolio's performance by calculating an equity curve based on the returns of the selected assets, starting from a user-defined date (default: January 1, 2018) with an initial capital of 1 unit. It also computes a Bitcoin HODL equity curve for comparison, reflecting the performance of holding Bitcoin over the same period.
Visual Representation: The equity curves are plotted on the chart with customizable glow effects (controlled by intensity settings) to enhance readability. Users can choose between two table styles:
Signal-Focused Table: Displays the current system state (ON/OFF), dominant assets, and basic performance metrics like profit and maximum drawdown.
Detailed Table: Offers a comprehensive breakdown of backtesting metrics (Sharpe, Sortino, Omega, Maximum Drawdown, Net Profit) for both the system and Bitcoin HODL, alongside the dominant assets and system state.
This process provides users with real-time insights into the portfolio's performance and its comparison to a passive Bitcoin strategy.
Conclusion
The "Majors Rotation System II" indicator offers traders a robust tool for optimizing their cryptocurrency portfolios through systematic asset rotation. By identifying top-performing assets and providing detailed performance metrics, it empowers users to navigate the volatile crypto markets with greater clarity and confidence. The customizable visualizations and comparative equity curves enhance its utility, making it a valuable resource for traders aiming to refine their strategies and evaluate performance objectively.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, and users should conduct their own research and analysis before making any trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Majors Rotation System IIntroduction
The "Majors Rotation System I" is an advanced TradingView indicator designed to assist traders in identifying and capitalizing on the performance of major cryptocurrencies. Analyzing Bitcoin (BTC), Ethereum (ETH), and Solana (SOL), this system dynamically rotates investments into the top-performing assets using a sophisticated scoring mechanism. It provides insights into market trends and asset strength, empowering traders to make informed decisions in the cryptocurrency market.
Key Features
Asset Rotation System:Dynamically allocates to the strongest cryptocurrencies based on a custom scoring algorithm.
Market Trend Analysis:Adjusts allocation strategy by incorporating the overall cryptocurrency market trend.
Customizable Visualization:Offers multiple color themes (e.g., Synthwave, Outrun) and table display options (Signal-Focused or Detailed) for a tailored user experience.
Performance Metrics:Includes detailed backtesting metrics such as Sharpe Ratio, Sortino Ratio, Omega Ratio, and Maximum Drawdown.
Equity Curve Visualization:Plots the system's performance against a Bitcoin buy-and-hold strategy, with optional glow effects for enhanced readability.
How It Works
The "Majors Rotation System" uses a multi-step process to evaluate and select cryptocurrencies for investment:
Asset Scoring:Each asset (Bitcoin, Ethereum, Solana) is scored using relative strength indicators (RSI), exponential moving averages (EMA), and Augmented Dickey-Fuller (ADF) statistical tests. Scores reflect an asset's strength relative to the others.
Ranking and Selection:Assets are ranked by their scores, and the top performers (up to three) are selected as "winners" for allocation, based on predefined thresholds.
Market Trend Consideration:The system evaluates the total cryptocurrency market trend using the market cap's RSI and Supertrend indicators. It adjusts its behavior—favoring active allocation in bullish trends or switching to "OFF" (cash) in bearish conditions.
Equity Curve Calculation:Simulates the performance of the rotation strategy by tracking returns from selected assets and compares it to a Bitcoin buy-and-hold baseline, factoring in leverage.
Visual Representation:Displays equity curves for the system and Bitcoin HODL with customizable glow effects. Two table options—Signal-Focused (current state) and Detailed (metrics and winners)—provide real-time insights.
Conclusion
The "Majors Rotation System" is a robust tool for navigating the cryptocurrency markets. By systematically rotating into high-performing assets and adapting to market conditions, it helps traders optimize their portfolio allocation. Its detailed metrics and customizable visualizations offer transparency and clarity, making it valuable for strategic decision-making.
Disclaimer
This indicator is provided for informational and educational purposes only and should not be considered financial advice. Users are encouraged to conduct their own research and analysis before making trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Lot Size Calculator - USD Quote Assets📌 Lot Size Calculator – USD Quote Assets
Description:
🔹 This Pine Script indicator calculates the optimal lot size based on your defined risk amount (in USD), entry price, and stop-loss price — specifically for assets that have USD as the quote currency.
✅ Works perfectly for:
Major and minor Forex pairs with USD as the quote (e.g., EURUSD, GBPUSD, USDJPY)
Gold (XAUUSD)
Silver (XAGUSD)
Oil (USOIL, WTICOUSD)
Indices (automatically detects if it's a CFD or E-mini Futures)
Cryptocurrencies quoted in USD (e.g., BTCUSD, ETHUSD)
🧠 The script auto-detects asset type and adjusts pip size, pip value, and lot multiplier accordingly. For indices, it even differentiates between CFDs and E-mini Futures for precise pip valuation.
📌 Displays a moving label on your chart for easy reference without interfering with price action.
Liquidity Levels (Smart Swing Lows)ICT SMC Liquidity Levels – Smart Swing Lows
This script is designed to help traders identify key liquidity zones by detecting swing lows, tracking them as potential liquidity pools, and automatically removing them once price mitigates (sweeps) them.
It’s optimized for Smart Money Concepts (SMC), ICT-style trading, and liquidity-based strategies.
✅ Features
Smart Swing Low Detection
Uses pivot logic to detect significant swing lows (price dips surrounded by higher lows)
Wide Cleanup Logic
Deletes swing low lines after they’ve been swept using a multi-bar historical sweep check (ta.lowest()), reducing clutter and highlighting only valid zones
Dynamic Proximity Filtering
Avoids plotting swing lows that are too close to each other, keeping charts clean
Daily High/Low Rays
Plots current day's high and low as horizontal rays for daily liquidity reference
Label Support
Optionally show “Swing Low” labels for easy identification
Custom Cleanup Lookback
Choose how many bars the script looks back to detect if a swing low has been mitigated
📈 How to Use
Apply on 5m, 10m, or 15m timeframe for best results
Look for clusters of unmitigated swing lows (red lines) — these often act as liquidity magnets
Once price sweeps below a swing low, it’s automatically cleaned from the chart, letting you focus on untouched zones
Combine with your entry models (breaker blocks, order blocks, FVGs) to refine high-probability setups
Use the daily high/low rays as confluence zones — watch for reactions near them
💡 Why It Helps
Filters out noise and shows you only the most relevant liquidity levels
Helps identify liquidity pools where institutional traders may enter or reverse price
Eliminates mitigated zones automatically, giving you a real-time evolving view of key price levels
Keeps your chart clean, actionable, and focused — especially during chop and consolidation
🧠 Trade like the institutions: track where the liquidity lies, and stay one step ahead of retail reactions.
Triple EMA + RSI Filter📌 Description:
This strategy combines three fast Exponential Moving Averages (EMAs) — 8, 13, and 21 — and a slow EMA of 55. It waits for all three fast EMAs to cross above or below the slow EMA (not necessarily at the same time). Once the last of the three crosses, a signal is triggered.
To enhance reliability and reduce false signals, an RSI filter is applied.
✅ Buy Conditions:
EMA 8, 13, and 21 are all above EMA 55.
RSI is below 70 (indicating that the asset is not overbought).
A buy signal is triggered when the last of the three EMAs crosses above EMA 55 and the RSI condition is met.
❌ Sell Conditions:
EMA 8, 13, and 21 are all below EMA 55.
RSI is above 30 (indicating the asset is not oversold).
A sell signal is triggered when the last of the three EMAs crosses below EMA 55 and the RSI condition is met.
🛠️ Output:
Plots all four EMAs on the chart.
Displays a "BUY" label below the bar when a buy condition is met.
Displays a "SELL" label above the bar when a sell condition is met.
🔍 Use Case:
Best used in trending markets, this strategy ensures that momentum (via RSI) aligns with price structure (via EMAs).
Ticker Pulse Meter + Fear EKG StrategyVERSION #2
Ticker Pulse + Fear EKG Strategy
Discover a smarter way to invest with the Ticker Pulse + Fear EKG Strategy, crafted for long-term investors seeking to buy dips and lock in profits over time. Fear EKG, a unique VIX-powered oscillator, pinpoints market fear to catch reversals at their sweetest spots, while Ticker Pulse’s dual-range metrics ensure you enter with momentum and exit with precision. Optimized for the daily timeframe—yet thriving on weekly and monthly charts—this strategy empowers you to dollar-cost average or ride trends with confidence, using partial exits to secure gains without guesswork.
Works out of the box, really no need for adjustment of settings.
However, here are a couple tidbits of information on how to adjust some of the settings.
Mute Fear EKG related buy entries:
In the settings tab, if you set the Upper Signal Threshold, Mid Signal Threshold, and the Lower Signal Threshold all to 100 this will serve to mute 100% of all Fear EKG spike related buy signals.
Mute Ticker Pulse Meter related buy entries
If you set the Above Long/Above Short Level and the Below Long/Below Short Level to zero this will serve to mute all buy signals related to the ticker pulse meter.
You may also want to play with the FEAR EKG SETTINGS. For instance, if you take it down to 5 and 2 respectively and muted the Ticker Pulse Meter by zeroing them out. What you are left with are much better bottom detection. Fewer trades to stretch the money in the event of a extended bear market.
Likewise, you can mute the Fear EKG by increasing all to 100, opting to only look at the dip buys related to the Ticker Pulse Meter. This too will serve to decrease the number of entries.
Related to the added context of the long term Linear Regression Channel, if you are looking for a powerful set up, consider only entering trades when a green dot prints below the red POC, point of control.
If you study the price action, between the 200 period moving average (white line), the 100 period SMA + Bollinger Bands (green and yellow lines), linear regression POC and channel tend to provide excellent support and resistance.
Paired with the companion Ticker Pulse Meter + Fear EKG indicator, you’ll visualize sentiment and price dynamics through vibrant area plots and a dynamic heatmap, making every decision crystal-clear. Whether you’re building wealth patiently or capitalizing on market dips, this strategy delivers robust, data-driven signals without the noise. Try it today and elevate your long-term portfolio! Note: Optional visuals (e.g., tables, SMA) use standard Pine Script logic, credited to community practices. Hypothetical results vary; no profits guaranteed.
Visual Enhancers: Entry/exit dots, position table, and optional SMA/Bollinger Bands (if enabled), moving average and linear regression channel use standard Pine Script logic or inspired by public scripts like "Bollinger Bands by TradingView", among others. The visual enhancers are there to provide added context and situational awareness only and are not core to the inter workings of the trading strategy.
None of the above is meant to serve as financial advice and is for educational purposes only.
Please like, comment and follow.
💡 RSI + Stoch + ADX Combo - No ErrorsThis script combines three powerful technical indicators — RSI, Stochastic Oscillator, and ADX — to generate strong buy and sell signals based on momentum, overbought/oversold levels, and trend strength.
✅ RSI (Relative Strength Index): Detects overbought/oversold conditions.
✅ Stochastic Oscillator: Adds momentum sensitivity to identify potential reversals.
✅ ADX (Average Directional Index): Measures the strength of the trend.
🔔 Buy Signal:
RSI is below the oversold level
Stochastic is also in the oversold zone
ADX confirms a strong trend
🔻 Sell Signal:
RSI is above the overbought level
Stochastic is also in the overbought zone
ADX confirms a strong trend
📌 This combo filter helps reduce false signals by only highlighting setups where all three indicators align. It's great for swing trading and trend-following strategies.
You can customize all threshold levels and smoothing periods from the script settings.
💡Tip: Combine with price action or support/resistance zones for even more powerful setups.
Nonstopkev888This script implements a Smart Money / Institutional Trading strategy using Fibonacci retracement levels with lower timeframe confluence applying ChoCh and BOS concepts. It identifies key entry points with high probability for trend continuations or reversals. The strategy is designed for use on the 15m, 5m, and 3m timeframes and incorporates liquidity sweep detection for additional confirmation.
Pre Market ScreenerIndicator Description:
This is a Pre-Market Screener that filters stocks based on pre-market opening levels compared to the previous day’s high and low.
If the pre-market open is above the previous high , it's considered a potential breakout.
If the pre-market open is below the previous low , it's considered a potential breakdown.
Only select stocks are filtered based on these criteria. This tool is meant to help identify possible intraday movers—not a direct trade signal. Always conduct further analysis before entering any trade. Use this screener to build your intraday watchlist.
Note: You are currently in the REGULAR SESSION. For more accurate results, please switch to EXTENDED TRADING HOURS.
Pizza Money Profit TriggersGet a trader’s edge — without overthinking or over trading!
This invite-only indicator gives you smart, high-probability Entry and Exit levels for futures and stocks and suggested Stop Loss levels automatically plotted.
Exclusive to members of the Smart Entries & Exits membership tier: ko-fi.com
How It Works
The indicator plots Buy (Blue) and Sell (Orange) trigger levels.
Once the price clearly breaks above the Buy Level , it’s considered a potential long entry.
Once the price clearly breaks below the Sell Level , it’s considered a potential short entry.
AlphaPulse/JoeWtrades Forecast Zones [Lite]AlphaPulse AI is a simplified version of our real-time Telegram trading bot.
This script highlights basic reversal zones using VWAP, OBV trend, and structure-based M/W candle logic.
For live signals, confidence scoring, and real-time setups (including options alerts and FVG reactions), check out the full bot:
t.me
Nasdaq 100 Logarithmic Growth CurvesIntroducing the Nasdaq 100 Logarithmic Growth Curves overlay indicator—a versatile, user-friendly Pine Script designed to transform how traders visualise stock market trends.
Born out of a need for a robust logarithmic overlay similar to those found on Bitcoin charts, this script precisely calibrates growth channels to the actual price levels of the Nasdaq 100 since launch in January, 1985.
Use the ticker: NASDAQ:NDX
Adjust for inflation with ticker:
NASDAQ:NDX-((ECONOMICS:USIRYY/1000)*NASDAQ:NDX)
The indicator offers dynamic customisation with options to choose different historical baselines—either from January 1985 or June 1998—and enables fine adjustments to the curve’s slopes and intercepts to suit varying market conditions.
In addition, the indicator includes optional Fibonacci retracement levels and projection curves, providing enriched context for both retrospective analysis and forward-looking trend estimation.
Let me know what you think below!
Ww
Log growth from June 1998
[itradesize] ICT Opening range
This indicator automatically annotates the opening ranges of the AM and PM sessions. It should be used on the 1-minute timeframe , although you can check and build a further models when using a 2-3-4 or even 5-minute timeframe. You can customize this under the settings tab.
Additionally, it includes features such as standard deviations and the initial fair value gap presented. Everything is based on what ICT said in his algorithmic timing video.
The algorithm will continue to adjust prices higher or lower until it reaches a predetermined target price. This process will occur within specific time frames: the last 10 minutes before the hour and the first 10 minutes after a new hour begins.
For the AM session opening range, this is from 9:30 to 10:00 , and for the PM session, it's from 13:30 to 14:00 . Defining these ranges allows us to identify the first presented fair value gaps there, as the algorithm is designed to leave these signatures for smart money. This process of time-based delivery precision repeats every day. You can build a whole New York model on this.
It's important to journal and backtest your results results. If the market breaks the opening range on either side and there is evident liquidity, it is highly likely that it will pursue that liquidity.
However, before doing so, the market should retrace back to the first fair value gap if it hasn’t already occurred or back to the 0.75 or 0.5 level of the range at maximum.
When does this happen? Typically, when a macro event occurs— for example, during the lunch macro from 11:30 to 12:00 . In most cases, you can expect a retracement during lunch macro. If the market retraces beyond these levels, there is a higher probability that the expected scenario will not play out.
The algorithm primarily refers to the 30-minute opening range each time. The standard deviation levels can be used to establish algorithmic delivery targets and anticipate another run after the PM session opening range has occurred. The AM session often helps determine the likely direction of movement after the PM session range concludes.
The PM macro runs from 15:15 to 15:45 . At this time, the market will typically operate within the narrative that is currently underway.
Trend Strategy [BKT]The Trend Strategy is a refined trend-following algorithm designed for intraday traders seeking systematic entries and disciplined exits. It integrates volatility-adjusted levels with directional momentum to identify high-probability trading opportunities during defined trading hours and days.
Candle Trend PowerThe Candle Trend Power is a custom technical indicator designed for advanced trend analysis and entry signal generation. It combines multiple smoothing methods, candle transformations, and volatility bands to visually and analytically enhance your trading decisions.
🔧 Main Features:
📉 Custom Candle Types
It transforms standard OHLC candles into one of several advanced types:
Normal Candles, Heikin-Ashi, Linear Regression, Rational Quadratic (via kernel filtering), McGinley Dynamic Candles
These transformations help traders better see trend continuations and reversals by smoothing out market noise.
🧮 Smoothing Method for Candle Data
Each OHLC value can be optionally smoothed using:
EMA, SMA, SMMA (RMA), WMA, VWMA, HMA, Mode (Statistical mode) Or no smoothing at all.
This flexibility is useful for customizing to different market conditions.
📊 Volatility Bands
Volatility-based upper and lower bands are calculated using:
Band = price ± (price% + ATR * multiplier)
They help identify overbought/oversold zones and potential reversal points.
📍 Candle Color Logic
Each candle is colored:
Cyan (#00ffff) if it's bullish and stronger than the previous candle
Red (#fd0000) if it's bearish and weaker
Alternating bar index coloring improves visual clarity.
📈 Trend Momentum Labels
The script includes a trend strength estimation using a smoothed RSI:
If the candle is bullish, it shows a BUY label with the overbought offset.
If bearish, it shows a SELL label with the oversold offset.
These labels are dynamic and placed next to the bar.
📍 Signal Markers
It also plots triangles when the price crosses the volatility bands:
Triangle up for potential long
Triangle down for potential short
✅ Use Case Summary
This script is mainly used for:
Visual trend confirmation with enhanced candles
Volatility-based entry signals
RSI-based trend momentum suggestions
Integrating different smoothing & transformation methods to fine-tune your strategy
It’s a flexible tool for both manual traders and automated system developers who want clear, adaptive signals across different market conditions.
💡 What's Different
🔄 Candle Type Transformations
⚙️ Custom Candle Smoothing
📉 Candle's Multi-level Volatility Bands
🔺 Dynamic Entry Signals (Buy/Sell Labels)
❗Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
