John Bob-Trading-BotDeveloped by Ayebale John Bob with the help of his bestie, this innovative strategy combines advanced Smart Money Concepts with practical risk management tools to help traders identify and capitalize on key market moves.
Key Features:
Smart Money Concepts & Fair Value Gaps (FVG):
The strategy monitors price action for fair value gaps, which are visualized as extremely faint horizontal lines on the chart. These FVGs signal potential areas where institutional traders might have entered or exited positions.
Dynamic Entry Signals:
Buy signals are triggered when the price crosses above the 50-bar lowest low or when a bullish FVG is detected. Conversely, sell signals are generated when the price falls below the 50-bar highest high or a bearish FVG is identified. Each signal is visually marked on the chart with clear buy (green) and sell (red) labels.
Multi-Level Order Execution:
Once an entry signal occurs, the strategy places five separate orders, each with its own take-profit (TP) level. The TP levels are calculated dynamically using the Average True Range (ATR) and a set of predefined multipliers. This allows traders to scale out of positions as the market moves favorably.
Dynamic Risk Management:
A stop-loss is automatically set at a distance determined by the ATR, ensuring that risk is managed in accordance with current market volatility.
Real-Time Trade Information Table:
In the bottom-right corner of the chart, a trade information table displays essential details about the current trade:
Side: Displays "BUY NOW" (with a dark green background) for long entries or "SELL NOW" (with a dark red background) for short entries.
Entry Price & Stop-Loss: Shows the entry price (highlighted in green) and the corresponding stop-loss level (highlighted in red).
Take-Profit Levels: Lists the five TP levels, each of which turns green once the market price reaches that target.
Timer: A live timer in minutes counts from the moment the current trade trigger started, helping traders track the duration of their active trades.
Visual Progress Bar:
A histogram-style progress bar is plotted on the chart, visually representing the percentage gain (or loss) relative to the entry price.
This strategy was meticulously designed to incorporate both technical analysis and smart risk management, offering a robust trading solution that adapts to changing market conditions. Whether you're a seasoned trader or just starting out, the AyebaleJohnBob Trading Bot equips you with the tools and visual cues needed to make well-informed trading decisions. Enjoy a seamless blend of strategy and style—crafted with passion by Ayebale John Bob and his bestie!
Forecasting
First 9:15-9:20 Candle Levels (Daily)This indicator captures the closing price of the first 5-minute candle (9:15 - 9:20 AM) every trading day. It then calculates 0.09% above and below this closing price and plots horizontal lines. The indicator resets daily at 9:15 AM, ensuring it always tracks the latest market open. After 9:20 AM, the calculated levels remain visible throughout the day. The upper level is displayed in green, while the lower level is in red. This tool helps traders identify key price levels early in the session, useful for setting stop-losses, take-profit zones, or identifying potential breakout points.
Machine Learning SupertrendThe Machine Learning Supertrend is an advanced trend-following indicator that enhances the traditional Supertrend with Gaussian Process Regression (GPR) and kernel-based learning. Unlike conventional methods that rely purely on historical ATR values, this indicator integrates machine learning techniques to dynamically estimate volatility and forecast future price movements, resulting in a more adaptive and robust trend detection system.
At the core of this indicator lies Gaussian Process Regression (GPR), which utilizes a Radial Basis Function (RBF) kernel to model price distributions and anticipate future trends. Instead of simply looking at past price action, it constructs a kernel matrix, enabling a probabilistic approach to price forecasting. This allows the indicator to not only detect current trends but also project potential trend reversals with greater accuracy.
By applying machine learning to ATR estimation, the ML Supertrend dynamically adjusts its thresholds based on predicted values rather than a fixed multiplier. This makes the trend signals more responsive to market conditions, reducing false signals and minimizing whipsaws often seen with traditional Supertrend indicators. The upper and lower bands are no longer static but evolve based on the underlying price structure, improving the reliability of trend shifts.
When the price crosses these adaptive levels, the indicator detects a trend change and plots it accordingly. Green signifies a bullish trend, while red indicates a bearish one. Alerts can also be triggered when the trend shifts, allowing traders to react quickly to potential reversals.
What makes this approach powerful is its ability to adapt to different market conditions. Traditional ATR-based methods use fixed parameters that might not always be optimal, whereas this ML-driven Supertrend continuously refines its estimations based on real-time data. The result is a more intelligent, less lagging, and highly adaptive trend-following tool.
This indicator is particularly useful for traders looking to enhance trend-following strategies with AI-driven insights. It reduces noise, improves signal reliability, and even offers a degree of trend forecasting, making it ideal for those who want a more advanced and dynamic alternative to standard Supertrend indicators.
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Trading involves risk, and users should conduct their own research and use proper risk management before making investment decisions.
Ultimate Stochastics Strategy by NHBprod Use to Day Trade BTCHey All!
Here's a new script I worked on that's super simple but at the same time useful. Check out the backtest results. The backtest results include slippage and fees/commission, and is still quite profitable. Obviously the profitability magnitude depends on how much capital you begin with, and how much the user utilizes per order, but in any event it seems to be profitable according to backtests.
This is different because it allows you full functionality over the stochastics calculations which is designed for random datasets. This script allows you to:
Designate ANY period of time to analyze and study
Choose between Long trading, short trading, and Long & Short trading
It allows you to enter trades based on the stochastics calculations
It allows you to EXIT trades using the stochastics calculations or take profit, or stop loss, Or any combination of those, which is nice because then the user can see how one variable effects the overall performance.
As for the actual stochastics formula, you get control, and get to SEE the plot lines for slow K, slow D, and fast K, which is usually not considered.
You also get the chance to modify the smoothing method, which has not been done with regular stochastics indicators. You get to choose the standard simple moving average (SMA) method, but I also allow you to choose other MA's such as the HMA and WMA.
Lastly, the user gets the option of using a custom trade extender, which essentially allows a buy or sell signal to exist for X amount of candles after the initial signal. For example, you can use "max bars since signal" to 1, and this will allow the indicator to produce an extra sequential buy signal when a buy signal is generated. This can be useful because it is possible that you use a small take profit (TP) and quickly exit a profitable trade. With the max bars since signal variable, you're able to reenter on the next candle and allow for another opportunity.
Let me know if you have any questions! Please take a look at the performance report and let me know your thoughts! :)
Gold Pro StrategyHere’s the strategy description in a chat format:
---
**Gold (XAU/USD) Trend-Following Strategy**
This **trend-following strategy** is designed for trading gold (XAU/USD) by combining moving averages, MACD momentum indicators, and RSI filters to capture sustained trends while managing volatility risks. The strategy uses volatility-adjusted stops to protect gains and prevent overexposure during erratic price movements. The aim is to take advantage of trending markets by confirming momentum and ensuring entries are not made at extreme levels.
---
**Key Components**
1. **Trend Identification**
- **50 vs 200 EMA Crossover**
- **Bullish Trend:** 50 EMA crosses above 200 EMA, and the price closes above the 200 EMA
- **Bearish Trend:** 50 EMA crosses below 200 EMA, and the price closes below the 200 EMA
2. **Momentum Confirmation**
- **MACD (12,26,9)**
- **Buy Signal:** MACD line crosses above the signal line
- **Sell Signal:** MACD line crosses below the signal line
- **RSI (14 Period)**
- **Bullish Zone:** RSI between 50-70 to avoid overbought conditions
- **Bearish Zone:** RSI between 30-50 to avoid oversold conditions
3. **Entry Criteria**
- **Long Entry:** Bullish trend, MACD bullish crossover, and RSI between 50-70
- **Short Entry:** Bearish trend, MACD bearish crossover, and RSI between 30-50
4. **Exit & Risk Management**
- **ATR Trailing Stops (14 Period):**
- Initial Stop: 3x ATR from entry price
- Trailing Stop: Adjusts to lock in profits as price moves favorably
- **Position Sizing:** 100% of equity per trade (high-risk strategy)
---
**Key Logic Flow**
1. **Trend Filter:** Use the 50/200 EMA relationship to define the market's direction
2. **Momentum Confirmation:** Confirm trend momentum with MACD crossovers
3. **RSI Validation:** Ensure RSI is within non-extreme ranges before entering trades
4. **Volatility-Based Risk Management:** Use ATR stops to manage market volatility
---
**Visual Cues**
- **Blue Line:** 50 EMA
- **Red Line:** 200 EMA
- **Green Triangles:** Long entry signals
- **Red Triangles:** Short entry signals
---
**Strengths**
- **Clear Trend Focus:** Avoids counter-trend trades
- **RSI Filter:** Prevents entering overbought or oversold conditions
- **ATR Stops:** Adapts to gold’s inherent volatility
- **Simple Rules:** Easy to follow with minimal inputs
---
**Weaknesses & Risks**
- **Infrequent Signals:** 50/200 EMA crossovers are rare
- **Potential Missed Opportunities:** Strict RSI criteria may miss some valid trends
- **Aggressive Position Sizing:** 100% equity allocation can lead to large drawdowns
- **No Profit Targets:** Relies on trailing stops rather than defined exit targets
---
**Performance Profile**
| Metric | Expected Range |
|----------------------|---------------------|
| Annual Trades | 4-8 |
| Win Rate | 55-65% |
| Max Drawdown | 25-35% |
| Profit Factor | 1.8-2.5 |
---
**Optimization Recommendations**
1. **Increase Trade Frequency**
Adjust the EMAs to shorter periods:
- `emaFastLen = input.int(30, "Fast EMA")`
- `emaSlowLen = input.int(150, "Slow EMA")`
2. **Relax RSI Filters**
Adjust the RSI range to:
- `rsiBullish = rsi > 45 and rsi < 75`
- `rsiBearish = rsi < 55 and rsi > 25`
3. **Add Profit Targets**
Introduce a profit target at 1.5% above entry:
```pine
strategy.exit("Long Exit", "Long",
stop=longStopPrice,
profit=close*1.015, // 1.5% target
trail_offset=trailOffset)
```
4. **Reduce Position Sizing**
Risk a smaller percentage per trade:
- `default_qty_value=25`
---
**Best Use Case**
This strategy excels in **strong trending markets** such as gold rallies during economic or geopolitical crises. However, during sideways or choppy market conditions, the strategy might require manual intervention to avoid false signals. Additionally, integrating fundamental analysis—like monitoring USD weakness or geopolitical risks—can enhance its effectiveness.
---
This strategy offers a balanced approach for trading gold, combining trend-following principles with risk management tailored to the volatility of the market.
SASDv2rSensitive Altcoin Season Detector V2
This Pine Script™ code, titled "SASDv2r" (Sensitive Altcoin Season Detector version 2 revised), is designed for cryptocurrency trading analysis on the TradingView platform and tailored for those interested in tracking when altcoins might be outperforming Bitcoin, potentially indicating a market shift towards altcoins.
Feel free to use and modify. If you made it better, please let me know. Intention was to help the community with a tool for retail traders have no access to advanced, MV indicators. Solution uses classic TA only.
Use it witl TOTAL3/BTC indicator.
Please check: it gave signal just before last alt season % rose more than 250%.
Market Cap Data Fetching: The script fetches market capitalization data for Bitcoin, Ethereum, and all other altcoins (excluding Bitcoin and Ethereum) using request.security function.
Altcoin to Bitcoin Ratio: It calculates the ratio of total market cap of altcoins to Bitcoin's market cap (altToBtcRatio), which is central to identifying an "altcoin season."
Moving Averages: Several moving averages are computed for different time frames (50-day SMA, 200-day SMA, 20-day SMA, and 10-day EMA) to analyze trends in the altcoin to Bitcoin ratio.
Momentum Indicators: The script uses RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) to gauge momentum and potential reversal points in the market.
Custom Indicators: It includes Volume Weighted Moving Average (VWMA) and a custom momentum indicator (altMomentum and altMomentumAvg) to provide additional insights into market movements.
Volatility Measurement: Bollinger Bands are calculated to assess volatility in the altcoin to Bitcoin ratio, which helps identify periods of high or low market activity.
Visual Analysis: Various plots are added to the chart for visual interpretation, including the altcoin to Bitcoin ratio, different moving averages, and Bollinger Bands.
Alt Season Detection: The script defines conditions for detecting when an "altcoin season" might be starting, based on crossovers of moving averages, RSI levels, MACD signals, and other custom criteria.
Performance Tracking: After signaling an alt season, the script evaluates the performance over the next 30 days by checking if there's been an increase in the altcoin to Bitcoin ratio, adding labels for positive or negative trends.(this one is in progress). Logic still gives false signals and aim is to identify failed signals.
Visual Signals: Labels are placed on the chart to visually indicate the beginning of a potential alt season or the performance outcome after a signal, aiding traders in making informed decisions.
Autocorrelation Price Forecasting Backtesting [ScrimpleAI]This script presents an innovative trading backtesting strategy designed to leverage autocorrelation models and linear regression on historical price returns . The goal is to forecast future price movements, identify recurring market cycles, and optimize trading decisions.
Main Functionality
This backtesting script is built to simulate trades by integrating historical autocorrelation with dynamic price forecasting . It incorporates risk management, stop-loss features, and an advanced backtesting date range, providing traders with maximum flexibility for evaluating strategies.
Key Features
1. Customizable Date Range for Backtesting
Allows users to define the exact date period for backtesting their strategies, ensuring they can fine-tune results for specific historical scenarios.
- Inputs: Start and End dates (day, month, year).
2. Autocorrelation Price Forecasting
- Detects cycles in market movements using the `ta.correlation` function.
- Highlights significant cycles when the autocorrelation exceeds a threshold value (default: 0.50).
- Stores projected values based on autocorrelation and linear regression of percentage returns for enhanced forecasting accuracy.
3. Forecast Threshold and Profit Assessment
- Evaluates hypothetical gains by comparing forecasted future prices to the current price.
- Customizable threshold gains to determine minimum profitability requirements for opening trades.
4. Strategy Side
- Long or Short Mode: Users can choose to test either long or short strategies to align with their trading approach.
5. Risk and Trade Management
- Order Sizing: Adjust position size as a percentage of the portfolio.
- Stop-Loss Integration: Dynamically calculates stop-loss based on user-defined percentages.
- Take Profit Target: Automatically sets take-profit levels based on forecasted gains.
6. Visual Alerts
- Provides clear visual signals of long and short entries on the chart, including labels and dynamic coloring.
- Forecasted prices are displayed directly on the chart as a continuous line, enhancing decision-making clarity.
Practical Applications
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.
3. Risk Management: Test different stop-loss and take-profit configurations.
4. Custom Period Analysis: Evaluate strategy performance in specific historical market conditions using the date range filter.
Core Logic Walkthrough
1. Autocorrelation for Cycle Detection:
- Historical prices are analyzed for recurring patterns using the `ta.correlation` function.
- If a significant cycle is detected (above the `signal_threshold`), the `linreg_values` (linear regression of returns) are stored for price projection.
2. Future Price Estimation: Forecasted price is calculated based on linear regression values and current price movements.
3. Trade Entry Logic
Long Trades
- Triggered if the hypothetical gain exceeds the threshold gain.
- Sets a take-profit level based on the projected future price.
- Includes an optional stop-loss based on user-defined percentages.
Short Trades
- Triggered if the hypothetical gain is less than the negative of the threshold gain.
- Configures take-profit and stop-loss levels for bearish trades.
4. Risk Management
- Position Sizing: Automatically calculates the order size as a percentage of the portfolio.
- Stop-Loss: Dynamically adjusts stop-loss levels to minimize risk.
5. Date Range Filtering: Ensures trades are executed only within the defined backtesting period.
Example Use Case: Backtesting with Autocorrelation
- A trader analyzes a 6-month period using 50 historical bars for autocorrelation.
- Sets a threshold gain of 10% and enables a stop-loss at 5%.
- Evaluates the effectiveness of a long-only strategy in this period to assess its profitability and risk-adjusted performance.
If you find this strategy useful or have ideas for improvements, leave a comment! What new features would you like to see in this strategy?
TrendMasterPro_FekonomiTrend Change and Start Signals with Weighted Conditions
The Trend Change and Start Signals with Weighted Conditions indicator leverages various technical analysis tools to generate reliable buy and sell signals. This indicator helps investors more accurately identify trend changes and start signals in the market.
Features:
Utilizes popular technical analysis tools such as MACD, RSI, EMA, and Ichimoku Cloud.
Enhances signal accuracy with additional indicators like ADX and Volume Increase.
Allows users to adjust the weights of each condition to set their importance.
The Confidence Level parameter lets you adjust the accuracy rate of the signals.
Visual Signals make it easy to track buy and sell points directly on the chart.
How It Works:
Condition Weights: Users assign weights to indicators like MACD, RSI, EMA, and Ichimoku Cloud. If you have no idea, use default settings.
Condition Fulfillment: Checks if the conditions for each indicator are met.
Confidence Level: The total weight of the fulfilled conditions must exceed the user-defined confidence level.
Signal Generation: When these conditions are met, a buy or sell signal is generated and visually displayed on the chart.
Customization:
Personalize Signals: By adjusting the weights of the indicators used, you can personalize the signals to match your trading strategy and preferences.
Use Cases:
Short-Term Investments: Identify quick trend changes for short-term trading decisions.
Long-Term Investments: Detect long-term trend starts and changes for strategic investment decisions.
Technical Analysis: Combine different technical analysis tools for more comprehensive and reliable analyses.
With this indicator, you can better understand market movements and make more informed investment decisions. Try it now and enhance your trading strategy!
by Fekonomi
Institutional Moves DetectorIndicator Name: Institutional Pattern Detector
What It Does:
Trend Following: It uses a Moving Average (MA) to understand the general direction of the price. The MA is like a smoothed-out line of the price over time, showing if the price trend is going up or down.
Volatility Measurement: The script employs Bollinger Bands (BB) to see how much the price is fluctuating. Bollinger Bands create an upper and lower "channel" around the price, which gets wider or narrower based on how volatile the price is.
Volume Check: It looks at trading volume to find times when there's unusually high activity, which could mean big players (institutions like banks or funds) are trading. It flags this when the volume is 1.5 times more than the average volume of the last 100 bars.
Pattern Detection for Trading Signals:
Entry Signal ("IN"): When there's high volume and the price is above the upper Bollinger Band, it suggests there might be strong buying from big institutions. This could mean the price might keep going up.
EXIT Signal ("OUT"): If there's high volume and the price falls below the lower Bollinger Band, it indicates possible strong selling pressure from institutions, suggesting the price might go down.
Visual Cues:
An orange label "IN" appears below the price bar for entry signals.
A red label "OUT" appears above the price bar for exit signals.
The moving average line is plotted on the chart in orange to help you see the trend.
Alerts: The script can alert you when these entry or exit signals occur, so you can get notifications without needing to stare at the chart all day.
For New Traders:
This indicator helps you spot when big traders might be influencing the market, potentially giving you a clue about when to enter or exit.
Remember, this is one tool among many. You should not base your trading solely on this; combine it with other analysis methods.
It's always wise to practice with a demo account before using real money to get a feel for how these signals work in actual market conditions.
VFV Correction Levels
This Pine Script, "VFV Correction Levels," identifies significant daily price corrections and calculates corresponding investments based on fixed thresholds (paliers). Key features include:
Six predefined correction levels trigger investments between $150 and $600 based on the percentage drop.
Larger corrections correspond to higher investment amounts.
Graphical Indicators:
Visual labels mark correction levels and display investment amounts directly on the chart.
Investment Tracking:
Calculates total invested and tracks performance (yield percentage) relative to the initial correction price.
Combo The "Combo" Indicator is a visual tool for TradingView that allows traders to clearly display their analysis based on OrderBloque concepts.
Key points to understand:
The indicator does NOT perform automatic market analysis
It serves as a configurable visualization tool for your personal analysis
Key Features:
Manual Configuration: You select a timeframe and function for each variable (V1 to V4)
Function Options:
VC (Volume Confirmation)
FP (Fractal Point)
LI (Liquidity)
EX (Execution)
Combinations like VC, VC, VC (EX)
Timeframe Range: Selectable from 5 minutes to 1 month
Tabular Display: Shows your inputs in a clear table on the chart
Customizable Appearance: Adjustable table position, colors, and text size
Auto Fibonacci Extension and Retracement with Visual AlertsThis indicator automatically calculates and plots Fibonacci retracement and extension levels based on recent swing highs and lows, making it a powerful tool for traders who use Fibonacci analysis in their strategies.
Key Features:
• Dynamic Fibonacci Levels: Automatically detects swing highs and lows over a user-defined lookback period to calculate key Fibonacci retracement (e.g., 0.236, 0.382, 0.618, etc.) and extension (e.g., 1.618, 2.618, etc.) levels.
• Visual Alerts: Displays intuitive visual alerts when the price crosses important Fibonacci levels.
• Blue dashed lines for retracement levels.
• Green dashed lines for extension levels.
• Labels with up or down arrows indicating price interactions with these levels.
• Swing High/Low Visualization: Marks recent swing highs and lows with crosses for better clarity.
• Customizable: Adjust the lookback period and Fibonacci levels to suit your trading style.
Who is it for?
This indicator is perfect for:
• Swing Traders: To identify potential reversal or continuation zones.
• Day Traders: For short-term setups based on Fibonacci levels.
• Fibonacci Enthusiasts: To automate the time-consuming process of manually plotting levels.
Usage Ideas:
1. Use retracement levels (e.g., 0.618) to identify areas of potential support or resistance.
2. Use extension levels (e.g., 1.618) to target potential breakout or continuation zones.
3. Combine this indicator with candlestick patterns, volume analysis, or other tools for confirmation.
Limitations:
• This is a standalone indicator and does not provide buy/sell signals. It’s recommended to combine it with other technical analysis tools for best results.
• The lookback period and swing detection rely on past data, so adjustments may be needed based on the asset or timeframe.
Whether you’re looking to streamline your Fibonacci analysis or explore new opportunities in your trading, this indicator is designed to save time, increase accuracy, and enhance your overall trading experience.
TOL LANGIT ATR v7 - AI EnhancedThe TOL LANGIT ATR v7 is an adaptive technical indicator designed to identify market trends, support and resistance levels, and breakout points. It uses the Average True Range (ATR) and volatility to dynamically adjust trend bands, with visual markers for buy and sell signals. The indicator also highlights key support (blue) and resistance (orange) levels, and alerts users when these levels are broken. It’s perfect for trend following, breakout trading, and reversal strategies, and includes easy-to-set alerts for key market changes.
IU Range Trading StrategyIU Range Trading Strategy
The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management.
User Inputs:
- Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10).
- ATR Length: Sets the length of the ATR calculation (default: 14).
- ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00).
Entry Conditions:
1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR.
2. Once a valid range is formed:
- A long trade is triggered at the range high.
- A short trade is triggered at the range low.
Exit Conditions:
1. Trailing Stop-Loss:
- The stop-loss adjusts dynamically using ATR targets.
- The strategy locks in profits as the trade moves in your favor.
2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making.
Features:
- Automated box creation to visualize the trading range.
- Supports one position at a time, canceling opposite-side entries.
- ATR-based trailing stop-loss for effective risk management.
- Clear visual representation of stop-loss and take-profit levels with colored bands.
This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Autocorrelation Price Forecasting [ScrimpleAI]Discover how to predict future price movements using autocorrelation and linear regression models to identify potential trading opportunities.
An advanced model to predict future price movements using autocorrelation and linear regression. This script helps identify recurring market cycles and calculates potential gains, with clear visual signals for quick and informed decisions.
Main Function
This script leverages an autocorrelation model to estimate the future price of an asset based on historical price relationships. It also integrates linear regression on percentage returns to provide more accurate predictions of price movements.
Key Features
1. Customizable Inputs:
- Analysis Length: number of historical bars used for autocorrelation calculation. Adjustable between 1 and 200.
- Forecast Colors: customize colors for bullish and bearish signals.
2. Price Autocorrelation: uses the ta.correlation function to measure price autocorrelation, detecting significant cycles when the value exceeds a defined threshold ( signal_threshold = 0.50 ).
3. Linear Regression on Returns: calculates percentage returns and applies linear regression to identify the future projected price value.
4. Hypothetical Gain Assessment: evaluates potential profit by comparing the estimated future price with the current price.
5. Visual Alerts:
- Labels: hypothetical gains or losses are displayed as labels above or below the bars.
- Dynamic Coloring: bullish (green) and bearish (red) signals are highlighted directly on the chart.
- Forecast Line: A continuous line is plotted to represent the estimated future price values.
Practical Applications
Short-term Trading : identify repetitive market cycles to anticipate future movements.
Visual Decision-making : colored signals and labels make it easier to visualize potential profit or loss for each trade.
Advanced Customization : adjust the data length and colors to tailor the indicator to your strategies.
💡 What do you think about this model?
If you already use autocorrelation-based analysis or want to try predictive strategies, leave a comment with your feedback!
Justice GameplanFibonacci Playbook: The Gridiron Indicator
This indicator doesn’t just mark levels—it’s your head coach, calling plays straight from the Fibonacci playbook to keep you ahead of the market’s defense. Here’s the game plan:
1. Scouting the Field:
It analyzes the last 180 bars like a seasoned scout, finding the *high-price MVP* and *low-price underdog* to set the boundaries of the game. This is your field—own it.
2. The Playbook:
- 50% Retracement (The Midfield Handoff):** The classic “let’s regroup and push forward” zone. Price often makes its comeback play here.
- 61.8% Retracement (The Sideline Route):** A tighter play—when price hits this zone, it’s like a running back juking defenders, setting up for a breakout move.
- 1.618 and 2.618 Extensions (Hail Mary Territory):** These are your end zones—when price reaches here, it’s all or nothing. You’re either scoring big or heading back to the locker room.
3. Game-Day Colors:
- Green Lines: Your offensive line—protecting your buy zones. Calm, calculated, and ready for a push.
- Red Lines: The defensive blitz—these levels warn, “You’ve hit resistance, time to adjust before you fumble.”
4. Signal Flags:
- Green Triangles (The Snap):The market signals a buy opportunity like a quarterback calling the perfect audible. It’s your chance to get in before the defense reacts.
- Red Triangles (The Sack): The market’s pressure is on—time to exit before the price gets tackled back to where it started.
5. End-to-End Game Vision:
The horizontal lines stretch across the chart like yard markers, setting the stage for price to march down the field—or get stopped cold by Fibonacci resistance.
This indicator is your ultimate play-caller, marking the critical zones where the market makes its big plays. Whether you’re running a steady offense or pulling off a last-minute Hail Mary, Fibonacci’s got your back. Time to suit up and dominate the trading field. 🏈
Wave Trend -V2Wave Trend -V2 is here to give you a serious edge.
This upgraded version of the popular LazyBear script takes wave trend analysis to the next level.
Here's the deal:
Multi-Timeframe Analysis: Beyond Short-Term Noise:
Novice traders often focus solely on the current timeframe (let's say, the 5-minute chart).
Wave Trend -V2 breaks free from this limitation by analyzing price action across multiple timeframes (1-minute to 1-week).
---This holistic view helps you:
Identify larger trends: Are we in a bullish uptrend on the daily chart, even if the hourly chart is showing some short-term weakness? Wave Trend -V2 helps you see the bigger picture.
Avoid false breakouts: Short-term price spikes can create false signals. By looking at higher timeframes, you can filter out these "noise" and focus on sustainable trends.
---Pressure Analysis: Gauging Market Strength:
Wave Trend -V2 goes beyond simple trend identification.
It incorporates "pressure" analysis to gauge the strength and direction of the current market trend.
This helps you:
Enter trades with confidence: When the trend is strong and the pressure is high, you can enter trades with greater conviction.
Minimize risk: If the pressure is waning or conflicting signals arise, you can avoid entering trades or adjust your risk parameters accordingly.
Impact Point Analysis: Predicting Future Price Moves:
Wave Trend -V2 analyzes the price impact of the last four wave trend crossovers.
Let's say the last impact point was "X", the previous one "X-1", the one before that "X-2", and so on.
The indicator calculates the average price movement between these points using the following simplified formula:
Average Impact = (X - X-1) + (X-1 - X-2) + (X-2 - X-3) / 3
This average provides a valuable estimate of the potential price movement of the next crossover.
Multiple Take Profit Levels: Setting Strategic Targets:
Wave Trend -V2 offers three dynamic take profit levels (TP1, TP2, TP3).
TP1: Based on the estimated average impact.
TP2: Twice the estimated average impact.
TP3: Three times the estimated average impact.
This allows you to set your profit targets strategically, maximizing potential gains while managing risk effectively.
Why don't use the Estmated impact point to stop the trade?
In order to eliminated the WHIPSAW effect! There is no other way...
Wave Trend -V2 is designed for traders who seek a deeper understanding of trend dynamics and desire a more sophisticated approach to trading. By combining multi-timeframe analysis, pressure assessment, and advanced impact point calculations, this indicator empowers you to make more informed trading decisions and potentially improve your trading outcomes.
The indicator work best with combination of other trend type indicators.
Please dont forget that indicators are not miracle medicines , it cannot give you exact results , market was always volative , use at your own discretion.
Quarterly Divider The "Quarterly Divider" script draws vertical lines at the start of each quarter (January, April, July, October) on the Trading View chart. It also labels each line with the corresponding quarter (Q1, Q2, Q3, Q4) at the bottom of the line, making it easy to visualize the start of each trading quarter. The color and thickness of the lines are customizable
NB. works effectively is used on the weekly timeframe
Ichimoku MTF (best MTF 4H - Entry 15M)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The technical indicator shows relevant information at a glance by using averages.
The overall trend is up when the price is above the cloud, down when the price is below the cloud, and trendless or transitioning when the price is in the cloud.
Charles G. Koonitz. “Ichimoku Analysis & Strategies: The Visual Guide to Spot the Trends in Stock Market, Cryptocurrency and Forex Using Technical Analysis and Cloud Charts," Tripod Solutions Inc., 2019.
When Leading Span A is rising and above Leading Span B, this helps to confirm the uptrend and the space between the lines is typically colored green. When Leading Span A is falling and below Leading Span B, this helps confirm the downtrend. The space between the lines is typically colored red in this case.1
Traders will often use the Ichimoku Cloud as an area of support and resistance depending on the relative location of the price. The cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time.
Traders should use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns. For example, the indicator is often paired with the relative strength index (RSI), which can be used to confirm momentum in a certain direction. It’s also important to look at the bigger trends to see how the smaller trends fit within them. For example, during a very strong downtrend, the price may push into the cloud or slightly above it, temporarily, before falling again. Only focusing on the indicator would mean missing the bigger picture that the price was under strong longer-term selling pressure.
Crossovers are another way that the indicator can be used. Watch for the conversion line to move above the base line, especially when the price is above the cloud. This can be a powerful buy signal. One option is to hold the trade until the conversion line drops back below the base line. Any of the other lines could be used as exit points as well.
TRENDSYNC BUY/SELL BY SIMPLY_DANTE-FXTrendSync Buy and Sell Indicator
PS: Kindly give me feedback on the comment section, I will really appriciate
Created By: Simply_Dante-FX
About the Author:
Simply_Dante-FX is a skilled trader and developer with a focus on creating custom indicators and strategies for technical analysis. With a strong understanding of market behavior, he has designed the TrendSync Buy and Sell indicator to help traders identify high-probability buy and sell signals based on a combination of trend-following, momentum, and price action strategies. Simply_Dante-FX aims to provide tools that enhance trading decisions and improve the overall trading experience.
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Description:
The TrendSync Buy and Sell indicator is designed to help traders identify potential buy and sell signals based on a combination of trend-following and momentum-based strategies. This custom indicator combines a range of technical tools, including the Simple Moving Average (SMA), Average True Range (ATR), and the Relative Strength Index (RSI), to filter and confirm entry points.
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How It Works:
1. Trend Identification (SMA):
- The indicator uses the 200-period Simple Moving Average (SMA) to determine the overall trend direction.
- A Buy Signal is generated when the price is above the SMA, indicating an uptrend.
- A Sell Signal is generated when the price is below the SMA, indicating a downtrend.
2. Range Filtering (ATR):
- The Average True Range (ATR) is used to filter out signals that occur during periods of low volatility.
- The ATR is multiplied by a user-defined range filter multiplier (default is 1.2) to ensure the signal is coming from a sufficiently volatile market condition.
3. Momentum Confirmation (RSI):
- The RSI is used as a momentum filter. For Buy Signals, the RSI must be above the user-defined threshold (default is 50), indicating bullish momentum.
- For Sell Signals, the RSI must be below the opposite threshold (100 - RSI Threshold), indicating bearish momentum.
4.Price Action Conditions:
- Buy and Sell signals are further confirmed by price action:
- Buy Signal: Identifies higher lows during an uptrend.
- Sell Signal: Identifies higher highs during an uptrend, or lower highs in a downtrend.
5. Unified Signal:
- The script combines the various conditions to generate a unified signal, ensuring that only high-probability trade opportunities are highlighted.
How to Use It:
1.Buy Signal: Look for a green label below the bar, which indicates a potential buying opportunity. This signal is generated when:
- The price is above the 200-period SMA (uptrend).
- The RSI is above the defined threshold (momentum confirmation).
- The ATR-based range filter confirms sufficient market movement.
2. Sell Signal: Look for a red label above the bar, which indicates a potential selling opportunity. This signal is generated when:
- The price is below the 200-period SMA (downtrend).
- The RSI is below the defined threshold (momentum confirmation).
- The ATR-based range filter confirms sufficient market movement.
3. Visual Confirmation: The script also plots the 200-period SMA for easy identification of the overall trend direction.
4.Alert Setup: You can set up an alert using the “Unified Buy/Sell Alert” condition to notify you when a buy or sell signal is triggered.
Disclaimer:
- Risk Warning: The TrendSync Buy and Sell indicator is a tool for technical analysis and is not a guaranteed method for predicting market movements. Trading carries risk, and it is essential to use proper risk management techniques and not rely solely on any one indicator.
- No Financial Advice: This indicator does not constitute financial advice, and the author, Simply_Dante-FX, does not take responsibility for any trading losses or profits resulting from the use of this tool.
- Performance: Past performance is not indicative of future results. Always conduct your own analysis and use additional tools and strategies to confirm trade decisions.
Use this indicator with caution, and always ensure that you understand the risks involved in trading before committing real capital.
Best Buffett Ratio w/ Std-Dev Offset + Conditional PlotSummary:
This script provides a visually clear way to track the so-called “Buffett Ratio,”
a popular market valuation gauge which compares the total US stock market cap
to the country’s GDP. In addition, it plots a “hardcoded” long-term trend line,
along with fixed standard-deviation bands (in log space), and uses background colors
to signal potentially overvalued or undervalued zones.
What Is the Buffett Ratio?
Often credited to Warren Buffett, the Buffett Ratio (or Buffett Indicator) measures:
(Total US Stock Market Capitalization) / (US GDP)
• A higher ratio typically means equities are more expensive relative to the size of the economy.
• A lower ratio suggests equities may be more attractively valued compared to GDP.
Historically, the ratio has tended to drift upward over many decades,
as the US economy and stock markets grow, but it still oscillates around some trend over time.
How to Use
1) Add to Chart:
- In TradingView, simply apply the indicator (it internally fetches CRSPTM1 & GDP data).
2) Tweak Inputs:
- Log Offset for 1σ: Adjust how wide the ±1σ/±2σ bands appear around the trend.
- Anchor Points: Edit startYear , endYear , startRatio , endRatio
if you want a different slope or different “fair value” anchors.
3) Interpretation:
- If the indicator is above +2σ (red line) , it’s historically “very expensive,”
often leading to lower future returns over the long term.
- If it’s below –2σ (green line) , it’s historically “deep undervaluation,”
often pointing to better future returns over time.
- The intermediate zones show degrees of mild over- or undervaluation.
How This Script Works
1) Buffett Ratio Calculation:
- The script requests data from TradingView’s built-in CRSPTM1 index (total US market cap).
- It also requests US GDP data via request.economic("US", "GDP") .
- If GDP data is missing, the ratio becomes na on that bar.
2) Hardcoded Trend Line:
- Rather than a rolling average, the script uses two “anchors” (e.g. 1950 → 0.30 ratio, 2024 → 1.25 ratio)
and solves for a single log-growth rate to produce a steady upward slope.
3) Fixed Standard Deviations in Log Space:
- The script takes the log of the trend line, then applies a fixed offset for ±1σ and ±2σ,
creating proportional bands that do not “expand/contract” from a rolling window.
4) Conditional Plotting:
- The script only begins plotting once the Buffett Ratio actually has data (around 2011).
5) Color-Coded Zones:
- Above +2σ: red background (historically very expensive)
- Between +1σ and +2σ: yellow background (moderately expensive)
- Between –1σ and +1σ: no background color (around normal)
- Between –2σ and –1σ: aqua background (moderately undervalued)
- Below –2σ: green background (historically deep undervaluation)
Final Notes
• Data Limitations: US GDP data and CRSPTM1 only go back so far, so this starts around 2011.
• Long-Term vs. Short-Term: Best viewed on monthly/quarterly charts and interpreted over years.
• Tuning: If you believe structural changes have shifted the ratio’s fair slope,
adjust the code’s anchors or log offsets.
Enjoy, and use responsibly!
RSI OB/OS Strategy Analyzer█ OVERVIEW
The RSI OB/OS Strategy Analyzer is a comprehensive trading tool designed to help traders identify and evaluate overbought/oversold reversal opportunities using the Relative Strength Index (RSI). It provides visual signals, performance metrics, and a detailed table to analyze the effectiveness of RSI-based strategies over a user-defined lookback period.
█ KEY FEATURES
RSI Calculation
Calculates RSI with customizable period (default 14)
Plots dynamic overbought (70) and oversold (30) levels
Adds background coloring for OB/OS regions
Reversal Signals
Identifies signals based on RSI crossing OB/OS levels
Two entry strategies available:
Revert Cross: Triggers when RSI exits OB/OS zone
Cross Threshold: Triggers when RSI enters OB/OS zone
Trade Direction
Users can select a trade bias:
Long: Focuses on oversold reversals (bullish signals)
Short: Focuses on overbought reversals (bearish signals)
Performance Metrics
Calculates three key statistics for each lookback period:
Win Rate: Percentage of profitable trades
Mean Return: Average return across all trades
Median Return: Median return across all trades
Metrics calculated as percentage changes from entry price
Visual Signals
Dual-layer signal display:
BUY: Green triangles + text labels below price
SELL: Red triangles + text labels above price
Semi-transparent background highlighting in OB/OS zones
Performance Table
Interactive table showing metrics for each lookback period
Color-coded visualization:
Win Rate: Gradient from red (low) to green (high)
Returns: Green for positive, red for negative
Time Filtering
Users can define a specific time window for the indicator to analyze trades, ensuring that performance metrics are calculated only for the desired period.
Customizable Display
Adjustable table font sizes: Auto/Small/Normal/Large
Toggle option for table visibility
█ PURPOSE
The RSI OB/OS Strategy Analyzer helps traders:
Identify mean-reversion opportunities through RSI extremes
Backtest entry strategy effectiveness across multiple time horizons
Optimize trade timing through visual historical performance data
Quickly assess strategy robustness with color-coded metrics
█ IDEAL USERS
Counter-Trend Traders: Looking to capitalize on RSI extremes
Systematic Traders: Needing quantitative strategy validation
Educational Users: Studying RSI behavior in different market conditions
Multi-Timeframe Analysts: Interested in forward returns analysis
Breakout Detection using EMAs and Mansfield Relative StrengthThis script identifies breakout opportunities based on a combination of price action, volume, and relative strength. It is designed for daily timeframe charts and helps traders pinpoint strong bullish setups with the following criteria:
Price Action: Stock price is above both the 10-day EMA and 5-week EMA.
EMA Trends: The 10-day EMA is above the 20-day EMA, and the 5-week EMA is above the 10-week EMA, confirming bullish momentum.
Customizable Parameters: Customize the index for the Mansfield Relative Strength, the volume multiplier, and the price breakout look-back period.
Price Breakout: The price is at a 3-month high, indicating strength.
Volume Breakout: A volume spike occurs, surpassing the 20-day average volume by a user-defined multiplier.
Features:
Generates clear breakout signals with a green triangle below the bar.
Integrated Mansfield Relative Strength for relative performance analysis.
Alerts for when all conditions are met, ensuring you never miss an opportunity.
How to Use:
Add this script to a daily chart of your chosen stock.
Look for green triangle signals indicating a potential breakout.
Adjust the parameters to suit your trading strategy and preferred index for the Mansfield Relative Strength.
This tool is ideal for swing traders looking to combine technical analysis with relative strength metrics for high-conviction bullish setups.
