Indicator BMS V5 [Traderhood]Introducing BMS (Base Market Strategy)
Overview
Base Market Strategy (BMS) is a trend-following and oscillator indicator designed to detect market trends with high accuracy while providing clear entry signals. BMS utilizes four Exponential Moving Averages (EMA) to filter trends across multiple timeframes and Bollinger Bands (BB) to identify overbought and oversold zones. This approach makes BMS highly suitable for scalping strategies in lower timeframes with a high win rate potential.
Key Features
📈 Multi-EMA Trend Filtering
Uses 4 EMAs to confirm the dominant trend.
Separates trend detection between lower timeframes and H1 for additional validation.
🎯 Dynamic Overbought & Oversold Detection
Sell signal occurs when the price touches the Bollinger Bands Upper.
Buy signal occurs when the price touches the Bollinger Bands Lower.
🔥 High Win Rate Scalping Strategy
Designed to capture quick price movements in trending markets.
Ideal for traders looking for fast executions with controlled risk.
🎨 Customizable Visual Enhancements
Users can adjust indicator colors to match their personal preferences.
How It Works
1️⃣ EMA-Based Trend Identification
The indicator applies 4 EMAs to determine short-term and medium-term trends.
If the price is above all EMAs → Bullish trend.
If the price is below all EMAs → Bearish trend.
2️⃣ Bollinger Bands Signal Generation
Sell Entry: When the price touches Bollinger Bands Upper, indicating an overbought area.
Buy Entry: When the price touches Bollinger Bands Lower, indicating an oversold area.
3️⃣ Scalping Execution
Entries are executed only on lower timeframes with trend confirmation from H1 EMA.
Profit targets are adjusted based on volatility, while stop loss is placed outside the Bollinger Bands.
4️⃣ Visual Customization
Indicator colors can be modified for better visibility.
Practical Applications
✅ Scalping Strategy – Uses Bollinger Bands and EMA filtering for fast trades.
✅ Trend Confirmation – Multi-timeframe EMA validation ensures precise entries.
✅ Dynamic Support & Resistance – Bollinger Bands help identify potential reversals.
✅ Noise Reduction – EMA filtering removes minor price fluctuations for clearer signals.
🛠 Settings
EMA Periods: 4 EMAs for trend filtering.
Bollinger Bands Length: 20 (default), adjustable.
Bollinger Bands Deviation: 2 (default).
Color Customization: Users can personalize indicator colors as needed.
📌 Conclusion
Base Market Strategy (BMS) is a high win-rate scalping indicator, combining trend-following EMA filtering with momentum reversal detection from Bollinger Bands. With a dynamic and adaptive approach, this indicator provides precise entry signals while reducing noise from insignificant price movements.
Key Takeaways:
✔ High Accuracy – A combination of EMA and Bollinger Bands provides clear signals.
✔ Scalping Optimization – Works best on lower timeframes with H1 validation.
✔ Visual Customization – Users can adjust the indicator colors to their preference.
✔ Simple Yet Powerful – Easy to use but highly effective in capturing market opportunities.
🔹 Disclaimer: Trading carries high risks. Always backtest and optimize settings to align with your risk tolerance before live trading.
Oscylatory
Filtered Buy/Sell Signals After Stochastic Extreme Crossover//@version=5
indicator("Filtered Buy/Sell Signals After Stochastic Extreme Crossover", overlay=true)
// Define parameters
lr_period = 6
tma_period = 5
stoch_k = 8
stoch_d = 4
stoch_smooth = 4
// Compute Linear Regression Forecast (6, close)
linRegForecast = ta.linreg(close, lr_period, 0)
// Compute Triangular Moving Average (5)
tma = ta.sma(ta.sma(close, math.ceil(tma_period / 2)), tma_period)
// Compute the Average Line
averageLine = (linRegForecast + tma) / 2
// Compute Stochastic (8,4,4)
k = ta.sma(ta.stoch(close, high, low, stoch_k), stoch_smooth)
d = ta.sma(k, stoch_d)
// Track last confirmed Stochastic crossovers
var float lastBuyCrossover = na
var float lastSellCrossover = na
if ta.crossover(k, d) and k < 30
lastBuyCrossover := bar_index // Store the bar index of last Buy crossover below 30
if ta.crossunder(k, d) and k > 70
lastSellCrossover := bar_index // Store the bar index of last Sell crossover above 70
// Define Buy & Sell Signal Conditions with Confirmation
buySignal = ta.crossover(linRegForecast, tma) and lastBuyCrossover > lastSellCrossover
sellSignal = ta.crossunder(linRegForecast, tma) and lastSellCrossover > lastBuyCrossover
// Plot the indicators
plot(linRegForecast, color=color.blue, title="Linear Regression Forecast")
plot(tma, color=color.green, title="Triangular Moving Average (TMA)")
plot(averageLine, color=color.white, title="Average Line", linewidth=2) // White Average Line
// Plot Buy and Sell Signals
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, size=size.small, title="BUY")
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, size=size.small, title="SELL")
RSI Signal Pro[UgurTash]Introducing RSI Signal Pro for TradingView
RSI Signal Pro is a refined version of the standard Relative Strength Index (RSI) , designed to improve signal accuracy by generating alerts in real-time instead of waiting for multiple candle confirmations. This enhancement allows traders to react faster to market movements while maintaining the familiar RSI structure.
What Makes RSI Signal Pro Unique?
✅ Real-Time RSI Signals: Unlike the traditional RSI, which waits for candle confirmations, this version provides immediate buy and sell signals upon key level crossovers.
✅ Dual Trading Modes: Choose between Simple Mode (standard RSI crossovers) and Advanced Mode (momentum-adjusted signals with price validation).
✅ Customizable RSI-Based Moving Average (MA): Optionally apply SMA, EMA, WMA, or VWMA to smooth RSI fluctuations and identify longer-term trends.
✅ Adaptive Signal Filtering: The Advanced Mode reduces false signals by filtering RSI movements with a momentum threshold and historical RSI validation.
✅ User-Friendly Interface: Simple ON/OFF toggles allow easy customization of the indicator's behavior.
How This Indicator Works
🔹 Simple Mode: Identical to traditional RSI, triggering signals when RSI crosses 30 (bullish) or 70 (bearish).
🔹 Advanced Mode: Uses historical RSI pivots, momentum verification, and price confirmation to refine signal accuracy—ideal for traders looking for more precise entries.
🔹 RSI-Based MA: Optionally overlay moving averages onto the RSI, providing additional trend confirmation.
How to Use RSI Signal Pro
1️⃣ Select a mode: Use Simple Mode for frequent alerts or Advanced Mode for refined signals.
2️⃣ Enable RSI-Based MA: Apply SMA, EMA, WMA, or VWMA to smooth RSI fluctuations.
3️⃣ Set alerts: TradingView notifications allow you to react to real-time RSI movements instantly.
4️⃣ Apply to multiple markets: Effective for crypto, forex, stocks, and commodities.
Why Use RSI Signal Pro Instead of Standard RSI?
While RSI Signal Pro maintains the core functionality of the standard RSI, its real-time signal generation allows traders to make faster decisions without the typical delay caused by waiting for candle confirmations. Additionally, the optional momentum filtering and moving average smoothing ensure fewer false signals and better trade accuracy.
Volumized Order Blocks | Flux Charts (CXT TEST)-- CXT TEST
This AI-powered TradingView script analyzes market trends and provides insights based on various indicators. It helps traders identify potential opportunities by detecting patterns and signals in price movements. The script adapts to changing market conditions, offering dynamic adjustments for better decision-making. Users can customize parameters to align with their preferred trading strategies. Designed for versatility, it works across different assets and timeframes.
-- Credits to flux charts
Bitcoin Power Law: Complete with Oscillator + Future Projection
Firstly, we would like to give credit to @apsk32 and @x_X_77_X_x as part of the code originates from their work. Additionally, @apsk32 is widely credited with applying the Power Law concept to Bitcoin and popularizing this model within the crypto community. Additionally, the visual layout is fully inspired by @apsk32's designs, and we think it looks amazing. So much so that we had to turn it into a TradingView script. Thank you!
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift . This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. The Oscillator version can be found here .
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support (Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point C, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Multi-Timeframe Optimized MACD [ClémentCrypto]An optimized MACD with specific parameters for each timeframe, based on extensive market analysis.
Key Features:
• Optimized presets for 1H, 4H, 1D, 1W, 2W
• Customizable mode with adjustable parameters
• Clear visual signals with modern color scheme
• Trading options: Long Only, Short Only, Both Directions
• Integrated alert system for each timeframe
• User-friendly interface with dashboard
Optimized Parameters by Timeframe:
1H: 11/38/27
4H: 9/98/27
1D: 45/90/29
1W: 9/16/3
2W: 5/20/5
🎯 Recommended Usage:
• Select your preferred timeframe
• Choose your trading direction
• Enable alerts according to your needs
• Monitor MACD/Signal crossovers
⚠️ Note: This indicator should be used with other analysis tools for better results.
Happy Trading! 📈
CryptoCipher Free (CCF)CryptoCipher Free (CCF) – User Guide
📌 Version: Open-Source | Educational Use Only
🚀 What is CryptoCipher Free (CCF)?
CryptoCipher Free (CCF) is a momentum and divergence-based indicator designed to help traders identify:
✅ Trend Reversals (WaveTrend & VWAP)
✅ Divergences (Bullish & Bearish)
✅ Money Flow Strength (Capital Inflows/Outflows)
✅ Momentum Shifts (Trigger Waves & RSI Signals)
Inspired by VuManChu Cipher B & Market Cipher, but fully custom-built, CCF combines key market indicators into one easy-to-use tool for crypto traders.
📈 Key Features & How to Use Them
🔹 1. WaveTrend Oscillator (WT) – Tracks Momentum
Green & Red Lines: Show momentum shifts.
Crossover Strategy:
Buy Signal = Green WT line crosses above Red WT line while oversold.
Sell Signal = Green WT line crosses below Red WT line while overbought.
🔹 2. Divergence Detection – Identifies Strengthening & Weakening Trends
Bullish Divergence (Green Label): Price is making lower lows, but momentum is rising → Potential Uptrend Reversal.
Bearish Divergence (Red Label): Price is making higher highs, but momentum is weakening → Potential Downtrend Reversal.
🔹 3. Money Flow Index (MFI) – Detects Market Pressure
Green Waves = Positive Money Flow (More Buying Pressure).
Red Waves = Negative Money Flow (More Selling Pressure).
Stronger & Wider Waves → Stronger Market Pressure.
🔹 4. VWAP Oscillator – Identifies Fair Value Zones
VWAP Above Zero = Overvalued Zone (Potential Reversal Down).
VWAP Below Zero = Undervalued Zone (Potential Reversal Up).
🔹 5. RSI & Stochastic RSI – Confirms Trend Strength
RSI Above 70 = Overbought (Potential Drop).
RSI Below 30 = Oversold (Potential Bounce).
Color-Coded for Quick Reading:
🔴 Red = Overbought
🟢 Green = Oversold
⚪ White = Neutral
🎯 Recommended Settings for Different Trading Styles
💰 Scalpers & Day Traders:
Lower Divergence Threshold (20-30) for more frequent but noisier signals.
Focus on VWAP & MFI confirmation for short-term trades.
📊 Swing Traders (Default Settings):
Keep Divergence Threshold at 30-35 for more reliable signals.
Look for WaveTrend crossovers & MFI waves aligning before entering trades.
⏳ Long-Term Investors (Higher Timeframes):
Increase Divergence Threshold (40-45) to filter out smaller moves.
Use VWAP & RSI for trend confirmations over larger periods (Daily/Weekly charts).
⚠️ Important Notes & Risk Management
No indicator is 100% accurate – always combine CCF with other analysis methods.
Use Stop-Loss & Risk Management to avoid unnecessary losses.
Crypto markets are highly volatile – adjust settings based on market conditions.CryptoCipher Free (CCF) is a powerful, all-in-one tool for momentum and divergence trading.
✅ Easy to Use – Designed for traders of all levels.
✅ Fully Customizable – Adjust sensitivity, colors, and alerts.
✅ Open-Source & Free – Use it, modify it, and learn from it.
RSI with Bollinger Bands and Buy/Sell SignalsPurpose:
This indicator combines the Relative Strength Index (RSI) with Bollinger Bands to identify overbought and oversold conditions in the market. It also generates buy and sell signals based on the interaction between the RSI and the Bollinger Bands. It is particularly useful for traders looking for opportunities in volatile or trending markets.
How It Works:
RSI (Relative Strength Index):
The RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought (values > 70) or oversold (values < 30).
In this indicator, horizontal lines at levels 70 (overbought) and 30 (oversold) are used as reference points.
Bollinger Bands:
Bollinger Bands are calculated around a smoothed moving average of the RSI. The upper band represents dynamic overbought levels, while the lower band indicates dynamic oversold levels.
These bands automatically adjust their width based on the volatility of the RSI, allowing them to adapt to different market conditions.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the RSI exceeds both the upper Bollinger Band and the overbought level (70). This suggests that the asset is in an extreme bullish phase.
Sell Signal: A sell signal is generated when the RSI falls below both the lower Bollinger Band and the oversold level (30). This suggests that the asset is in an extreme bearish phase.
Alerts:
The indicator includes automatic alerts to notify you when buy or sell signals are generated. This allows traders to act quickly on new opportunities.
Best Practices:
Confirmation in Lower Timeframes:
Although this indicator is powerful, it is recommended to confirm signals in lower timeframes before making trading decisions. For example:
If you receive a buy signal on a 4-hour chart, check if the RSI and Bollinger Bands on lower timeframes (such as 1 hour or 15 minutes) also show bullish signals.
This reduces the risk of false positives and increases the accuracy of your entries.
Use in Trends:
This indicator works best in markets with clear trends. In sideways or low-volatility markets, signals may be less reliable due to the lack of directional momentum.
Risk Management:
Always use stop-loss and take-profit to protect your positions. Buy and sell signals are just one tool for analysis; they do not guarantee results.
Combination with Other Indicators:
To improve accuracy, consider combining this indicator with others, such as MACD, Stochastic Oscillator, or Japanese candlestick patterns. This can provide additional confirmation before opening a position.
Summary:
The RSI + Bollinger Bands with Buy/Sell Signals indicator is an advanced tool designed to identify entry and exit points in the market based on extreme overbought and oversold conditions. However, to maximize its effectiveness, it is crucial to confirm signals in lower timeframes and use it in combination with other technical analysis tools. With proper risk management and careful interpretation of signals, this indicator can be a valuable ally in your trading strategy.
SuperTrend AI Oscillator StrategyThis strategy combines the SuperTrend indicator with AI-based filtering and the Super Oscillator to enable high-precision trend-following and reversal entries.
Additionally, by utilizing a trailing stop, it maximizes profits while strengthening risk management.
📌 Overview
This strategy is developed based on indicators from Black Cat and LuxAlgo.
The SuperTrend AI Oscillator Strategy combines high-precision trend analysis with AI-based oscillator filtering, making it a risk-managed trading approach.
It identifies trend directions while incorporating AI-driven filtering for accurate entry and exit signals.
By utilizing a trailing stop, it effectively adapts to sudden trend changes.
It is suitable for Forex, Crypto, and Stock markets across multiple timeframes.
📌 Key Features
This strategy integrates multiple advanced techniques to enhance trade accuracy, risk management, and overall profitability.
1️⃣ SuperTrend-Based Trend Identification
The strategy utilizes the SuperTrend indicator, which is based on the Average True Range (ATR), to determine the trend direction dynamically.
When SuperTrend flips bullish (0 → 1), a long entry is triggered
When SuperTrend flips bearish (1 → 0), a short entry is triggered
This ensures that trades are executed only when a clear trend shift occurs, minimizing unnecessary trades during sideways markets.
2️⃣ AI-Based Super Oscillator Filtering
To avoid false signals, the Super Oscillator is used as an additional filter.
This oscillator measures trend strength and confirms whether the SuperTrend signal aligns with a strong momentum shift.
Long entries are confirmed when the oscillator is above 50 (indicating a strong bullish trend).
Short entries are confirmed when the oscillator is below 50 (indicating a weak market or bearish trend).
By filtering out weak signals, this component improves entry accuracy and reduces exposure to choppy market conditions.
3️⃣ Trailing Stop for Dynamic Risk Management
Instead of using a fixed stop-loss, the strategy employs a SuperTrend-based trailing stop that moves dynamically with price action.
The stop-loss level automatically adjusts based on market volatility.
It allows traders to secure profits while letting winners run, instead of closing trades prematurely.
This mechanism ensures maximum profitability in strong trending markets.
4️⃣ Optimized Risk-Reward Ratio (Default 1:2, Adjustable)
The strategy implements an optimized risk-reward ratio, which is set to 1:2 by default.
If a trade has a 1% stop-loss, the take-profit target is set at 2%.
This ensures that even with a 50% win rate, the strategy remains profitable over the long run.
The ratio is fully adjustable, allowing traders to customize it based on their risk tolerance and market conditions.
5️⃣ Clear Trade Execution & Visual Signals
The strategy provides clear and intuitive visual indicators to help traders easily identify trading opportunities.
Green "BUY" labels indicate long entry points.
Red "SELL" labels indicate short entry points.
The Super Oscillator is displayed in a separate subwindow with a 50 midline for easy interpretation.
The trailing stop is plotted in real-time, dynamically adjusting with price movement.
These visual aids help traders quickly assess trade conditions and enhance decision-making without needing complex chart analysis.
📌 Trading Parameters
📊 Initial Account Size: $7,000
📉 Commissions & Slippage: Assumed commission of 94 pips per trade and slippage of 1 pip
⚖️ Risk Per Trade: 5% of account equity (adjustable based on risk tolerance)
📈 Total Trades: 732
📌 Visual Aids for Clarity
This strategy provides clear visual trade signals to enhance decision-making:
✅ Green "BUY" labels for long entries
✅ Red "SELL" labels for short entries
✅ Super Oscillator plotted in a separate subwindow with a 50 midline
✅ Trailing stop displayed dynamically for real-time trend tracking
These visual aids allow traders to quickly identify trade setups and manage positions with greater confidence.
📌 Summary
The SuperTrend AI Oscillator Strategy is developed based on indicators from Black Cat and LuxAlgo.
By integrating high-precision trend analysis with AI-based oscillator filtering, it provides a strong risk-managed trading approach.
Key Takeaways:
✅ SuperTrend-based trend identification & entry execution
✅ Super Oscillator for enhanced entry precision
✅ Trailing stop for dynamic risk management
✅ Optimized risk-reward ratio (default 1:2, adjustable)
✅ Clear visual trade signals (BUY/SELL labels for easy identification)
If you find this strategy useful, don’t forget to like, comment, and share! 🚀
Happy trading! 🎯📈
CCI & BB with Divergencecci yeni bir trendi belirlemek veya aşırı alım-satım bölgelerine gelmiş hisse emtia veya menkul kıymetlerin piyasa koşullarını belirlemek için kullanılabilecek çok taraflı bir göstergedir.
bb en kısa ve genel tanımıyla teknik analizde kullanılan bir gösterge. Bu teknik fiyat göstergesi, bir varlığın ortalama fiyatının her iki tarafında ayarlanmış üst ve alt banttan oluşuyor. Volatilite yükseldiğinde bantlarda genişleme, azaldığında ise daralma meydana geliyor.
all divergence uyumsuzlukları kullanarak al-sat yaparak, düzenli olarak kâr elde edebilirsiniz.
Combined RSI + Stoch RSI with Divergence [SA]This Combined RSI + Stoch RSI with Divergence CRYPTOCAP:XRP indicator is a custom momentum tool that blends the Relative Strength Index (RSI) and **Stochastic RSI (Stoch RSI)** into a single oscillator. It includes:
1. Combined RSI: Averages RSI and Stoch RSI for a more robust momentum signal.
2. Overbought/Oversold Levels: Highlights key levels (default: 70/30) for potential reversals.
3. Divergence Detection: Identifies regular and hidden divergences for trend reversals or continuations.
4. Pivot Points: Marks highs and lows on the Combined RSI for structure analysis.
5. Buy/Sell Signals: Generates signals when the Combined RSI crosses overbought/oversold levels at pivot points.
Key Features:
- Plots RSI, Stoch RSI, and Combined RSI.
- Labels divergences (`R` for Regular, `H` for Hidden).
- Marks buy/sell signals (`BUY`/`SELL`).
Use Case:
- Confirms trends, spots reversals, and identifies entry/exit points using momentum and divergence.
This tool is ideal for traders seeking a comprehensive view of momentum and price structure. 🚀
RSI + MACD Histogram Divergence Detector Indicator detects bullish and bearish divergences using RSI and MACD Histogram to identify potential trend reversals with high accuracy and minimal false signals.
This script is ideal for traders looking to enhance market timing and spot trend reversals early. Apply it to stocks, forex, crypto, or indices and optimize it for your strategy!
Custom TABI Model with LayersCustom TABI Model with Layered RSI (Color-Coded Overbought/Oversold Tracker)
🔹 Overview:
This script is designed to help traders identify Bitcoin and broader market cycle tops and bottoms using a layered color-coded RSI model. It enhances traditional RSI analysis by smoothing RSI values and applying distinct color zones to visually highlight potential turning points in price action.
🔹 How It Works:
The script calculates a smoothed RSI by applying a 14-period Simple Moving Average (SMA) to RSI(14).
Different RSI threshold levels are assigned specific color zones for quick visual reference:
Blue Zones (0-30) – Oversold conditions, potential bottoming area.
Green/Yellow Zones (30-70) – Neutral or trending market conditions.
Orange Zones (70-80) – Cautionary zone; momentum strong but nearing exhaustion.
Red Zone (90+) – Extreme overbought area, potential market top formation.
🔹 How to Use It Effectively:
✅ Bitcoin & Market Cycle Tracking – Historically, RSI values above 90 have signaled local market tops, making this indicator useful for timing crypto cycle peaks.
✅ Trend Confirmation & Reversals – Traders can combine this with moving averages, volume analysis, or MACD to strengthen signals.
✅ Scalping & Swing Trading – Use lower timeframes (1H, 4H, Daily) for shorter-term entries/exits.
✅ Long-Term Holding Decisions – Weekly RSI nearing red zones may indicate a need to scale out of positions.
🔹 Why This Script is Unique & Original:
Unlike standard RSI, this smooths RSI values to reduce noise and provide clearer trend signals.
It visually categorizes RSI into easy-to-interpret layers, making it more intuitive than raw RSI values.
Inspired by InvestAnswers' color-coded top/bottom model, but built from scratch using AI-assisted development for customization.
🔹 How to Apply on Charts:
1️⃣ Add the script to your TradingView chart.
2️⃣ Adjust RSI zone levels based on your market conditions (default works well for crypto & stocks).
3️⃣ Use alongside support/resistance levels, volume spikes, and trend indicators for confirmation.
bobs Brownian Trend Momentum Systemthis indicator was made using ai with low code no code that i have programed to use its understanding of pine script and my own trading knowledge it is capable of creating entries but not exits so be aware of that still working o fine tuning the details but for now this will do
EMA & Stochastic Strategy BUY&SELL POINTExample of Usage: When you encounter a signal in the M15 timeframe, check the M5 timeframe to confirm. If you find the same signal, then decide to enter the order.
Caution: Avoid entering orders when the EMA lines are very close together or when they are crossing.
Adjust your risk-reward ratio as you see fit.
SMA BB PSAR CROSSES 2025 with ASGMA Buy/Sell SignalsSMA 5-8-13-21-3455-89-144-233-377-610
BB 20-2
PSAR
CROSSES 5/21, 21/55, 55/233
2025 with ASGMA Buy/Sell Signals
BSORBTC/SOL Oscillator Ratio
(tested data was at 4 hour intervals)
Above 0.5: The BTC/SOL ratio is increasing (BTC outpacing SOL). From our analysis, SOL rose only 37.4% of the time after this (34/91 cases), so it’s more likely to fall in the next 4 hour window.
Below 0.5: The ratio is decreasing (SOL outpacing BTC). SOL rose 81.9% of the time after this (149/182 cases), suggesting a likely SOL increase in next 4 hour window.
Near 0.5: Ratio stable, SOL’s direction less clear (48% up in our data).
BTC/SOL Ratio Oscillator(tested data was at 4 hour intervals)
Above 0.5: The BTC/SOL ratio is increasing (BTC outpacing SOL). From our analysis, SOL rose only 37.4% of the time after this (34/91 cases), so it’s less predictive here.
Below 0.5: The ratio is decreasing (SOL outpacing BTC). SOL rose 81.9% of the time after this (149/182 cases), suggesting a likely SOL increase.
Near 0.5: Ratio stable, SOL’s direction less clear (48% up in our data).
Bollinger Bands for STDDEV1,2,3Bollinger Bands with shaded areas representing different standard deviations. The shading becomes progressively darker as you move further away from the mean,
(StdDev 1):
These lines represent the Bollinger Bands at one standard deviation away from the moving average.
They indicate a relatively narrow range of expected price movement.
When prices move outside these bands, it can suggest a potential short-term overbought or oversold condition.
(StdDev 2):
Bollinger Bands at two standard deviations away from the moving average.
They indicate a wider range of expected price movement.
These bands are often used to identify more significant overbought or oversold conditions and potential trend reversals.
This is also the area that is shaded.
(StdDev 3):
Bollinger Bands at three standard deviations away from the moving average.
They indicate an even wider range of expected price movement.
Prices rarely reach these bands, and when they do, it can signal extreme market conditions or strong trends.
ADX Meter OverlayThe ADX Meter Overlay is a trend strength visualization tool that colors candles based on the ADX (Average Directional Index). This indicator helps traders easily identify when the market is trending strongly versus when it is weak or ranging.
🔹 How It Works:
✔️ ADX Measures Trend Strength: The ADX does not indicate trend direction—only trend intensity.
✔️ Candle Colors Change Based on ADX:
Green candles = Strong Uptrend (ADX above threshold, bullish momentum).
Red candles = Strong Downtrend (ADX above threshold, bearish momentum).
Blue candles = Weak Uptrend / Choppy Market (ADX below threshold).
Orange candles = Weak Downtrend / Choppy Market (ADX below threshold).
✔️ Alerts when ADX Crosses Above/Below Threshold: Notifies traders when trend conditions change.
📊 Trading Strategy Based on ADX Meter
📌 Best Timeframes:
Scalping: 1M, 5M
Day Trading: 15M, 1H
Swing Trading: 4H, 1D
📌 Best Markets:
Forex, Crypto, Stocks, Commodities
✅ Entry Rules (Buying/Long Trade)
🔹 Look for Green Candles:
ADX above threshold (Strong Trend).
Price making higher highs & higher lows.
Combine with a 50 EMA or 200 EMA for confirmation.
❌ Exit Rules (Closing a Long Trade)
🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position.
🔹 If price crosses below 50 EMA → Trend is reversing, consider exiting.
📉 Entry Rules (Selling/Short Trade)
🔹 Look for Red Candles:
ADX above threshold (Strong Trend).
Price making lower highs & lower lows.
Combine with a Moving Average or RSI for extra confirmation.
❌ Exit Rules (Closing a Short Trade)
🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position.
🔹 If price crosses above 50 EMA → Trend reversal likely, exit short.
📌 Why Use the ADX Meter?
✔️ Quickly spot strong trends vs weak/ranging markets.
✔️ Avoid false breakouts & low-momentum trades.
✔️ Works with any trading strategy – Combine with RSI, MACD, or Moving Averages.
🔥 Next Steps:
📌 Add the ADX Meter Overlay to your chart and test it on different assets & timeframes.
RSI Strategy with Manual TP and SLHello friends.
This strategy enters the trade by exiting the RSI saturation zone and then by changing the profit and loss limits, the necessary changes can be made.
At the same time, different shorts or longs are not opened, and only the position shown with the arrow is opened and the rest are only shown.
You can change the RSI range.
With the initial conditions on the 30-minute time frame on EURUSD, EURAUD, GBPUSD, it responded well.
I hope it is useful.
Of course, it definitely needs changes and it is a general strategy.
Good luck.
SlimTrady_Multi Coin - TF RSI DashboardRSI Dashboard to monitor 1m, 5m, 15m, 1hr, 4hr timeframes across 8 assets. Alerts available when all time frames for a coin are either overbought or oversold (70/30)
Sigma Line Strategy OverviewThe Sigma Line Strategy is a volatility-based trading approach that utilizes a moving average and standard deviation to identify buy and sell signals. This strategy helps traders detect potential trend reversals by identifying extreme price movements relative to the historical price range.
