Full strategy AllinOne with risk management MACD RSI PSAR ATR MAHey, I am glad to present you one of the strategies where I put a lot of time in it.
This strategy can be adapted to all type of timecharts like scalping, daytrading or swing.
The context is the next one :
First we have the ATR to calculate our TP/SL points. At the same time we have another rule once we enter(we enter based on % risk from total equity, in this example 1%, at the same time, lowest ammount for this example is 0.1 lots, but can be modified to 0.01), so we can exit both by tp/sl points, or by losing 1% of our equity or winning 1% of our total equity. It's dinamic.
The strategy is made from
Trend direction :
PSAR
First confirmation point :
Crossover between 10EMA and Bollinger bands middle point
Second confirmation
MACD histogram
Third confirmation
RSI overbought/oversold levels
For entries : we check trend with psar, then once ema cross bb middle point, we confirm together with rsi level for overbought/oversold and macd histogram ( > 0 or <0).
We exit, when we have opposite sign, like from buy to sell or sell to buy, or when we reach tp/sl points, or when we reach % basaed equity points.
It can be changed to be fixed lots, or fixed tp/sl , you just have to uncomment the size from entries, and tp/sl lines.
At the same time, it has the possibility if one desires, to trade only concrete forex session like european, asian and so on for intraday trading.
Hope you enjoy it.
Let me know how it goes.
在腳本中搜尋"徐家汇MACD、RSI技术指标"
Easy to Use MACD+RSI Strategy
BEGINNERS REJOICE!
Easy to use strategy test using MACD with RSI as a confirming indicator. The code is structured to make it easy to manipulate the variables to your choosing.
EASY TO CHANGE CODE VARIABLES
LINE 2 = Change the amount you invest every trade and the currency
LINE 8/9/10 = Change the defval of each of these lines to backtest from a certain date
LINE 16/17/18 = Change the MACD sensitivity by changing the defval on each line
LINE 21 = Change the value after close toadjust the sensitivity of the RSI
LINE 37/39 = Change/remove the < and > variables for macdLine and rsivalue after the crossover/crossunder to adjust your buying point further.
As a beginner you may not feel comfortable with shorting stocks, therefore LINE 5 was added to only allows long positions.
Funny how a simple indicator can return such a high profitability. Couple this with some trend/exit strategies and you'll have something really special!
Powerfull strategy MACD+RSI+STOCH ATR stop best on Crude OilMy strategy uses a combination of three indicators MACD Stochastic RSI .
The Idea is to buy when ( MACD > Signal and RSI > 50 and Stochastic > 50) occures at the same time the BUY STop we place on previous day HIGH
and sell (short) when the opposite condition occurs we place SELL STOP on previous day LOW
We exit on Take profit or Stop loss which is calculated by ATR (10) or on the opposite signal "Volatility breakout"
This strategy works well on stocks, commodities and cryptos especially during market breaking up after consolidation
The best results are on Daily charts , so its NOT a scalping strategy. But it can work also on 1H charts.
The strategy does not have any stops and profit targets, so we can take all the market can give us at the moment.
The exit point only when MACD goes under Signal
Its Preformance is significantly better with "buy stop on High.1 and sell stop on Low.1" idea and exit on "volatility price breakout"
So, use it, trade it.
If it will help you to imprive your trading results, please donate me
BTC: 12kd1F8buWisUBdq27BBwRkUvzW7Ey3og
Powerfull strategy MACD + RSI + Stoch buy on High exit on ATRMy strategy uses a combination of three indicators MACD Stochastic RSI .
The Idea is to buy when ( MACD > Signal and RSI > 50 and Stochastic > 50) occures at the same time the BUY STop we place on previous day HIGH
We exit on Take profit or Stop loss which is calculated by ATR (10) or on the opposite signal "Volatility breakout"
This strategy works well on stocks, commodities and cryptos especially during market breaking up after consolidation
The best results are on Daily charts , so its NOT a scalping strategy. But it can work also on 1H charts.
The strategy does not have any stops and profit targets, so we can take all the market can give us at the moment.
The exit point only when MACD goes under Signal
Its Preformance is significantly better with "buy stop on High.1" idea and exit on "volatility price breakout"
So, use it, trade it.
If it will help you to imprive your trading results, please donate me
BTC: 12kd1F8buWisUBdq27BBwRkUvzW7Ey3og5
MACD and RSI divergence by Rexio v2Hi everyone!
I wrote this indicator for intraday trading and it cannot be use only by itself you need to at least draw some S/R lines to make it useful. It is based at MACD histogram and gives signal when it sees divergence on MACD/RSI/MACD's Histogram (or all at once - settings) when macd's histogram switchs trend. Im using it to playing with a trend most of the time looking for hidden divergence at higher time frame and after that looking for regular divergence at lower time frame.
Im not a computer programist nor professional trader so it is only for educational purposes only.
Redbear MACD + RSIHello . I make script that combine MACD and RSI
Green area is BUY SELL signal when rsi >45
you can custom parameter .
Professional MSTI+ Trading Indicator"Professional MSTI+ Trading Indicator" is a comprehensive technical analysis tool that combines over 20 indicators to generate high-quality trading signals and assess market sentiment. The script integrates standard indicators (MACD, RSI, Bollinger Bands, Stochastic, Simple Moving Averages, and Volume Analysis) with advanced components (Squeeze Momentum, Fisher Transform, True Strength Index, Heikin-Ashi, Laguerre RSI, Hull MA) and further includes metrics such as ADX, Chaikin Money Flow, Williams %R, VWAP, and EMA for in-depth market analysis.
Key Features:
Multiple Presets for Different Trading Styles:
Choose from optimal configurations like Professional, Swing Trading, Day Trading, Scalping, or Reversal Hunter. Note that the presets may not work perfectly on all pairs, and manual calibration might be required. This flexibility allows you to fine-tune the settings to align with your unique strategies and signals.
Multi-Layered Signal Filtering:
Filters based on trend, volume, and volatility help eliminate false signals, enhancing the accuracy of market entries.
Comprehensive Fear & Greed Index:
The indicator aggregates data from RSI, volatility, momentum, trend, and volume to gauge overall market sentiment, providing an additional layer of market context.
Dynamic Information Panel:
Displays detailed status updates for each component (e.g., MACD, RSI, Laguerre RSI, TSI, Fisher Transform, Squeeze, Hull MA, etc.) along with a visual strength bar that represents the intensity of the trading signal.
Signal Generation:
Buy and sell signals are generated when a predefined number of conditions are met and confirmed over multiple bars. These signals are clearly displayed on the chart with arrows, making it easier to spot potential entry and exit points.
Alert Setup:
Built-in alert conditions allow you to receive real-time notifications when trading signals are generated, helping you stay on top of market movements.
"Professional MSTI+ Trading Indicator" is designed to enhance your trading strategy by providing a multi-faceted market analysis and an intuitive visual interface. While the presets offer a robust starting point, they may require manual calibration on certain pairs, giving you the flexibility to configure your own unique strategies and signals.
Mean Reversion Cloud (Ornstein-Uhlenbeck) // AlgoFyreThe Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator detects mean-reversion opportunities by applying the Ornstein-Uhlenbeck process. It calculates a dynamic mean using an Exponential Weighted Moving Average, surrounded by volatility bands, signaling potential buy/sell points when prices deviate.
TABLE OF CONTENTS
🔶 ORIGINALITY
🔸Adaptive Mean Calculation
🔸Volatility-Based Cloud
🔸Speed of Reversion (θ)
🔶 FUNCTIONALITY
🔸Dynamic Mean and Volatility Bands
🞘 How it works
🞘 How to calculate
🞘 Code extract
🔸Visualization via Table and Plotshapes
🞘 Table Overview
🞘 Plotshapes Explanation
🞘 Code extract
🔶 INSTRUCTIONS
🔸Step-by-Step Guidelines
🞘 Setting Up the Indicator
🞘 Understanding What to Look For on the Chart
🞘 Possible Entry Signals
🞘 Possible Take Profit Strategies
🞘 Possible Stop-Loss Levels
🞘 Additional Tips
🔸Customize settings
🔶 CONCLUSION
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🔶 ORIGINALITY The Mean Reversion Cloud (Ornstein-Uhlenbeck) is a unique indicator that applies the Ornstein-Uhlenbeck stochastic process to identify mean-reverting behavior in asset prices. Unlike traditional moving average-based indicators, this model uses an Exponentially Weighted Moving Average (EWMA) to calculate the long-term mean, dynamically adjusting to recent price movements while still considering all historical data. It also incorporates volatility bands, providing a "cloud" that visually highlights overbought or oversold conditions. By calculating the speed of mean reversion (θ) through the autocorrelation of log returns, this indicator offers traders a more nuanced and mathematically robust tool for identifying mean-reversion opportunities. These innovations make it especially useful for markets that exhibit range-bound characteristics, offering timely buy and sell signals based on statistical deviations from the mean.
🔸Adaptive Mean Calculation Traditional MA indicators use fixed lengths, which can lead to lagging signals or over-sensitivity in volatile markets. The Mean Reversion Cloud uses an Exponentially Weighted Moving Average (EWMA), which adapts to price movements by dynamically adjusting its calculation, offering a more responsive mean.
🔸Volatility-Based Cloud Unlike simple moving averages that only plot a single line, the Mean Reversion Cloud surrounds the dynamic mean with volatility bands. These bands, based on standard deviations, provide traders with a visual cue of when prices are statistically likely to revert, highlighting potential reversal zones.
🔸Speed of Reversion (θ) The indicator goes beyond price averages by calculating the speed at which the price reverts to the mean (θ), using the autocorrelation of log returns. This gives traders an additional tool for estimating the likelihood and timing of mean reversion, making the signals more reliable in practice.
🔶 FUNCTIONALITY The Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator is designed to detect potential mean-reversion opportunities in asset prices by applying the Ornstein-Uhlenbeck stochastic process. It calculates a dynamic mean through the Exponentially Weighted Moving Average (EWMA) and plots volatility bands based on the standard deviation of the asset's price over a specified period. These bands create a "cloud" that represents expected price fluctuations, helping traders to identify overbought or oversold conditions. By calculating the speed of reversion (θ) from the autocorrelation of log returns, the indicator offers a more refined way of assessing how quickly prices may revert to the mean. Additionally, the inclusion of volatility provides a comprehensive view of market conditions, allowing for more accurate buy and sell signals.
Let's dive into the details:
🔸Dynamic Mean and Volatility Bands The dynamic mean (μ) is calculated using the EWMA, giving more weight to recent prices but considering all historical data. This process closely resembles the Ornstein-Uhlenbeck (OU) process, which models the tendency of a stochastic variable (such as price) to revert to its mean over time. Volatility bands are plotted around the mean using standard deviation, forming the "cloud" that signals overbought or oversold conditions. The cloud adapts dynamically to price fluctuations and market volatility, making it a versatile tool for mean-reversion strategies. 🞘 How it works Step one: Calculate the dynamic mean (μ) The Ornstein-Uhlenbeck process describes how a variable, such as an asset's price, tends to revert to a long-term mean while subject to random fluctuations. In this indicator, the EWMA is used to compute the dynamic mean (μ), mimicking the mean-reverting behavior of the OU process. Use the EWMA formula to compute a weighted mean that adjusts to recent price movements. Assign exponentially decreasing weights to older data while giving more emphasis to current prices. Step two: Plot volatility bands Calculate the standard deviation of the price over a user-defined period to determine market volatility. Position the upper and lower bands around the mean by adding and subtracting a multiple of the standard deviation. 🞘 How to calculate Exponential Weighted Moving Average (EWMA)
The EWMA dynamically adjusts to recent price movements:
mu_t = lambda * mu_{t-1} + (1 - lambda) * P_t
Where mu_t is the mean at time t, lambda is the decay factor, and P_t is the price at time t. The higher the decay factor, the more weight is given to recent data.
Autocorrelation (ρ) and Standard Deviation (σ)
To measure mean reversion speed and volatility: rho = correlation(log(close), log(close ), length) Where rho is the autocorrelation of log returns over a specified period.
To calculate volatility:
sigma = stdev(close, length)
Where sigma is the standard deviation of the asset's closing price over a specified length.
Upper and Lower Bands
The upper and lower bands are calculated as follows:
upper_band = mu + (threshold * sigma)
lower_band = mu - (threshold * sigma)
Where threshold is a multiplier for the standard deviation, usually set to 2. These bands represent the range within which the price is expected to fluctuate, based on current volatility and the mean.
🞘 Code extract // Calculate Returns
returns = math.log(close / close )
// Calculate Long-Term Mean (μ) using EWMA over the entire dataset
var float ewma_mu = na // Initialize ewma_mu as 'na'
ewma_mu := na(ewma_mu ) ? close : decay_factor * ewma_mu + (1 - decay_factor) * close
mu = ewma_mu
// Calculate Autocorrelation at Lag 1
rho1 = ta.correlation(returns, returns , corr_length)
// Ensure rho1 is within valid range to avoid errors
rho1 := na(rho1) or rho1 <= 0 ? 0.0001 : rho1
// Calculate Speed of Mean Reversion (θ)
theta = -math.log(rho1)
// Calculate Volatility (σ)
sigma = ta.stdev(close, corr_length)
// Calculate Upper and Lower Bands
upper_band = mu + threshold * sigma
lower_band = mu - threshold * sigma
🔸Visualization via Table and Plotshapes
The table shows key statistics such as the current value of the dynamic mean (μ), the number of times the price has crossed the upper or lower bands, and the consecutive number of bars that the price has remained in an overbought or oversold state.
Plotshapes (diamonds) are used to signal buy and sell opportunities. A green diamond below the price suggests a buy signal when the price crosses below the lower band, and a red diamond above the price indicates a sell signal when the price crosses above the upper band.
The table and plotshapes provide a comprehensive visualization, combining both statistical and actionable information to aid decision-making.
🞘 Code extract // Reset consecutive_bars when price crosses the mean
var consecutive_bars = 0
if (close < mu and close >= mu) or (close > mu and close <= mu)
consecutive_bars := 0
else if math.abs(deviation) > 0
consecutive_bars := math.min(consecutive_bars + 1, dev_length)
transparency = math.max(0, math.min(100, 100 - (consecutive_bars * 100 / dev_length)))
🔶 INSTRUCTIONS
The Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator can be set up by adding it to your TradingView chart and configuring parameters such as the decay factor, autocorrelation length, and volatility threshold to suit current market conditions. Look for price crossovers and deviations from the calculated mean for potential entry signals. Use the upper and lower bands as dynamic support/resistance levels for setting take profit and stop-loss orders. Combining this indicator with additional trend-following or momentum-based indicators can improve signal accuracy. Adjust settings for better mean-reversion detection and risk management.
🔸Step-by-Step Guidelines
🞘 Setting Up the Indicator
Adding the Indicator to the Chart:
Go to your TradingView chart.
Click on the "Indicators" button at the top.
Search for "Mean Reversion Cloud (Ornstein-Uhlenbeck)" in the indicators list.
Click on the indicator to add it to your chart.
Configuring the Indicator:
Open the indicator settings by clicking on the gear icon next to its name on the chart.
Decay Factor: Adjust the decay factor (λ) to control the responsiveness of the mean calculation. A higher value prioritizes recent data.
Autocorrelation Length: Set the autocorrelation length (θ) for calculating the speed of mean reversion. Longer lengths consider more historical data.
Threshold: Define the number of standard deviations for the upper and lower bands to determine how far price must deviate to trigger a signal.
Chart Setup:
Select the appropriate timeframe (e.g., 1-hour, daily) based on your trading strategy.
Consider using other indicators such as RSI or MACD to confirm buy and sell signals.
🞘 Understanding What to Look For on the Chart
Indicator Behavior:
Observe how the price interacts with the dynamic mean and volatility bands. The price staying within the bands suggests mean-reverting behavior, while crossing the bands signals potential entry points.
The indicator calculates overbought/oversold conditions based on deviation from the mean, highlighted by color-coded cloud areas on the chart.
Crossovers and Deviation:
Look for crossovers between the price and the mean (μ) or the bands. A bullish crossover occurs when the price crosses below the lower band, signaling a potential buying opportunity.
A bearish crossover occurs when the price crosses above the upper band, suggesting a potential sell signal.
Deviations from the mean indicate market extremes. A large deviation indicates that the price is far from the mean, suggesting a potential reversal.
Slope and Direction:
Pay attention to the slope of the mean (μ). A rising slope suggests bullish market conditions, while a declining slope signals a bearish market.
The steepness of the slope can indicate the strength of the mean-reversion trend.
🞘 Possible Entry Signals
Bullish Entry:
Crossover Entry: Enter a long position when the price crosses below the lower band with a positive deviation from the mean.
Confirmation Entry: Use additional indicators like RSI (above 50) or increasing volume to confirm the bullish signal.
Bearish Entry:
Crossover Entry: Enter a short position when the price crosses above the upper band with a negative deviation from the mean.
Confirmation Entry: Look for RSI (below 50) or decreasing volume to confirm the bearish signal.
Deviation Confirmation:
Enter trades when the deviation from the mean is significant, indicating that the price has strayed far from its expected value and is likely to revert.
🞘 Possible Take Profit Strategies
Static Take Profit Levels:
Set predefined take profit levels based on historical volatility, using the upper and lower bands as guides.
Place take profit orders near recent support/resistance levels, ensuring you're capitalizing on the mean-reversion behavior.
Trailing Stop Loss:
Use a trailing stop based on a percentage of the price deviation from the mean to lock in profits as the trend progresses.
Adjust the trailing stop dynamically along the calculated bands to protect profits as the price returns to the mean.
Deviation-Based Exits:
Exit when the deviation from the mean starts to decrease, signaling that the price is returning to its equilibrium.
🞘 Possible Stop-Loss Levels
Initial Stop Loss:
Place an initial stop loss outside the lower band (for long positions) or above the upper band (for short positions) to protect against excessive deviations.
Use a volatility-based buffer to avoid getting stopped out during normal price fluctuations.
Dynamic Stop Loss:
Move the stop loss closer to the mean as the price converges back towards equilibrium, reducing risk.
Adjust the stop loss dynamically along the bands to account for sudden market movements.
🞘 Additional Tips
Combine with Other Indicators:
Enhance your strategy by combining the Mean Reversion Cloud with momentum indicators like MACD, RSI, or Bollinger Bands to confirm market conditions.
Backtesting and Practice:
Backtest the indicator on historical data to understand how it performs in various market environments.
Practice using the indicator on a demo account before implementing it in live trading.
Market Awareness:
Keep an eye on market news and events that might cause extreme price movements. The indicator reacts to price data and might not account for news-driven events that can cause large deviations.
🔸Customize settings 🞘 Decay Factor (λ): Defines the weight assigned to recent price data in the calculation of the mean. A value closer to 1 places more emphasis on recent prices, while lower values create a smoother, more lagging mean.
🞘 Autocorrelation Length (θ): Sets the period for calculating the speed of mean reversion and volatility. Longer lengths capture more historical data, providing smoother calculations, while shorter lengths make the indicator more responsive.
🞘 Threshold (σ): Specifies the number of standard deviations used to create the upper and lower bands. Higher thresholds widen the bands, producing fewer signals, while lower thresholds tighten the bands for more frequent signals.
🞘 Max Gradient Length (γ): Determines the maximum number of consecutive bars for calculating the deviation gradient. This setting impacts the transparency of the plotted bands based on the length of deviation from the mean.
🔶 CONCLUSION
The Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator offers a sophisticated approach to identifying mean-reversion opportunities by applying the Ornstein-Uhlenbeck stochastic process. This dynamic indicator calculates a responsive mean using an Exponentially Weighted Moving Average (EWMA) and plots volatility-based bands to highlight overbought and oversold conditions. By incorporating advanced statistical measures like autocorrelation and standard deviation, traders can better assess market extremes and potential reversals. The indicator’s ability to adapt to price behavior makes it a versatile tool for traders focused on both short-term price deviations and longer-term mean-reversion strategies. With its unique blend of statistical rigor and visual clarity, the Mean Reversion Cloud provides an invaluable tool for understanding and capitalizing on market inefficiencies.
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
Volume Weighted MACD + RSIVolume Weighted MACD + RSI.
RSI > 60 signals market is bullish
RSI < 40 signals market is bearish
GREEN ZONE - bullish market
GREY ZONE - market reversal potential
RED ZONE - bearish market
BINANCE:BTCUSDT
A Multi 10 indicatorREAD NOTE BEFORE APPLYING or you may think indicator doesnt work.
This indicator is a revise of another i made and contains 10 Optional Indicators allowing you to load more then 3 indicators at once if you so choose and dont pay for the platform!
Hopefully someone will find use for this script besides me :) I dont suggest turning all on at once because it
will not look right. Alot will overlap if you wish but i only use the Session and trend bar at once in
conjuction with a Oscillator setting like MacD , RSI , Stoch , Aroon or CCI .
In the chart you see i only have a few indicators active ENJOY!!
---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE -------------
(Can turn EVERYTHING on AND change any values in the format tab once indicator loads)
Indicators included are listed below
Sessions, including, NY session, Aussie session, Asian session, and Europe market sessions.
MacD Split Colored , aroon oscillator
CCI Oscillator , classic aroon
RSI Oscillator , Elliot wave
Stoch RSI Oscillator , ATR%
My own Trend bar
---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE -------------
(Can turn EVERYTHING on AND change any values in the format tab once indicator loads) CODE probably looks messey but this is something i made for me so i didnt really care lol
A Multi 10 indicatorREAD NOTE BEFORE APPLYING or you may think indicator doesnt work.
This indicator is a revise of another i made and contains 10 Optional Indicators allowing you to load more then 3 indicators at once if you so choose and dont pay for the platform!
Hopefully someone will find use for this script besides me :) I dont suggest turning all on at once because it
will not look right. Alot will overlap if you wish but i only use the Session and trend bar at once in
conjuction with a Oscillator setting like MacD , RSI , Stoch , Aroon or CCI .
In the chart you see i only have a few indicators active ENJOY!!
---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE -------------
(Can turn EVERYTHING on AND change any values in the format tab once indicator loads)
NY session, Aussie session, Asian session, and Europe market sessions.
MacD Split Colored , aroon oscillator
CCI Oscillator , classic aroon
RSI Oscillator , Elliot wave
Stoch RSI Oscillator
Aroon Oscillator
My own Trend bar
---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE -------------
(Can turn EVERYTHING on AND change any values in the format tab once indicator loads) CODE probably looks messey but this is something i made for me so i didnt really care lol
AI Trend Momentum SniperThe AI Trend Momentum Sniper is a powerful technical analysis tool designed for day trading. This strategy combines multiple momentum and trend indicators to identify high-probability entry and exit points. The indicator utilizes a combination of Supertrend, MACD, RSI, ATR (Average True Range), and On-Balance Volume (OBV) to generate real-time signals for buy and sell opportunities.
Key Features:
Supertrend for detecting market direction (bullish or bearish).
MACD for momentum confirmation, highlighting changes in market momentum.
RSI to filter out overbought/oversold conditions and ensure high-quality trades.
ATR as a volatility filter to adjust for changing market conditions.
OBV (On-Balance Volume) to confirm volume strength and trend validity.
Dynamic Stop-Loss & Take-Profit based on ATR to manage risk and lock profits.
This indicator is tailored for intraday traders looking for quick market moves, especially in volatile and high liquidity assets like Bitcoin (BTC) and Ethereum (ETH). It helps traders capture short-term trends with efficient risk management tools.
How to Apply:
Set Your Chart: Apply the AI Trend Momentum Sniper to a 5-minute (M5) or 15-minute (M15) chart for optimal performance.
Buy Signal: When the indicator generates a green arrow below the bar, it indicates a buy signal based on positive trend and momentum alignment.
Sell Signal: A red arrow above the bar signals a sell condition when the trend and momentum shift bearish.
Stop-Loss and Take-Profit: The indicator automatically calculates dynamic stop-loss and take-profit levels based on the ATR value for each trade, ensuring proper risk management.
Alerts: Set up custom alerts for buy or sell signals, and get notified instantly when opportunities arise.
Best Markets for Use:
BTC/USDT, ETH/USDT – High liquidity and volatility.
Major altcoins with sufficient volume.
Avoid using it on low-liquidity assets where price action may become erratic.
Timeframes:
This indicator is best suited for lower timeframes (5-minute to 15-minute charts) to capture quick price movements in trending markets.
Confluence Buy-Sell Indicator with Fibonacci The script is a "Confluence Indicator with Fibonacci" designed to work on the TradingView platform. This indicator combines multiple technical analysis strategies to generate buy and sell signals based on user-defined confluence criteria. Here's a breakdown of its features:
Confluence Criteria: Users can enable or disable various strategies like MACD, RSI, Bollinger Bands, Divergence, Fibonacci, and Moving Average. The number of strategies that need to align for a signal to be generated can be set by the user.
Strategies Included:
MACD Strategy: Uses the Moving Average Convergence Divergence method to identify buy/sell opportunities.
RSI Strategy: Utilizes the Relative Strength Index to detect overbought or oversold conditions.
Bollinger Bands Strategy: Incorporates Bollinger Bands to identify volatility and potential buy/sell signals.
Divergence Strategy: A basic implementation that detects bullish and bearish divergences using the RSI.
Fibonacci Strategy: Uses Fibonacci retracement levels to determine potential support and resistance levels.
Moving Average Strategy: Employs a crossover system between the 50-period and 200-period simple moving averages.
Additional Features:
Support & Resistance: Identifies major support and resistance levels from the last 50 bars.
Pivot Points: Calculates pivot points to determine potential turning points.
Stop Loss Levels: Automatically calculates and plots stop-loss levels for buy and sell signals.
NYC Midnight Level: Option to display the New York City midnight price level.
Visualization: Plots buy and sell signals on the chart with green and red markers respectively.
Adequate Category:
"Technical Analysis Indicators & Overlays" or "Strategy & Scripting Tools".
AI-Bank-Nifty Tech AnalysisThis code is a TradingView indicator that analyzes the Bank Nifty index of the Indian stock market. It uses various inputs to customize the indicator's appearance and analysis, such as enabling analysis based on the chart's timeframe, detecting bullish and bearish engulfing candles, and setting the table position and style.
The code imports an external script called BankNifty_CSM, which likely contains functions that calculate technical indicators such as the RSI, MACD, VWAP, and more. The code then defines several table cell colors and other styling parameters.
Next, the code defines a table to display the technical analysis of eight bank stocks in the Bank Nifty index. It then defines a function called get_BankComponent_Details that takes a stock symbol as input, requests the stock's OHLCV data, and calculates several technical indicators using the imported CSM_BankNifty functions.
The code also defines two functions called get_EngulfingBullish_Detection and get_EngulfingBearish_Detection to detect bullish and bearish engulfing candles.
Finally, the code calculates the technical analysis for each bank stock using the get_BankComponent_Details function and displays the results in the table. If the engulfing input is enabled, the code also checks for bullish and bearish engulfing candles and displays buy/sell signals accordingly.
The FRAMA stands for "Fractal Adaptive Moving Average," which is a type of moving average that adjusts its smoothing factor based on the fractal dimension of the price data. The fractal dimension reflects self-similarity at different scales. The FRAMA uses this property to adapt to the scale of price movements, capturing short-term and long-term trends while minimizing lag. The FRAMA was developed by John F. Ehlers and is commonly used by traders and analysts in technical analysis to identify trends and generate buy and sell signals. I tried to create this indicator in Pine.
In this context, "RS" stands for "Relative Strength," which is a technical indicator that compares the performance of a particular stock or market sector against a benchmark index.
The "Alligator" is a technical analysis tool that consists of three smoothed moving averages. Introduced by Bill Williams in his book "Trading Chaos," the three lines are called the Jaw, Teeth, and Lips of the Alligator. The Alligator indicator helps traders identify the trend direction and its strength, as well as potential entry and exit points. When the three lines are intertwined or close to each other, it indicates a range-bound market, while a divergence between them indicates a trending market. The position of the price in relation to the Alligator lines can also provide signals, such as a buy signal when the price crosses above the Alligator lines and a sell signal when the price crosses below them.
In addition to these, we have several other commonly used technical indicators, such as MACD, RSI, MFI (Money Flow Index), VWAP, EMA, and Supertrend. I used all the built-in functions for these indicators from TradingView. Thanks to the developer of this TradingView Indicator.
I also created a BankNifty Components Table and checked it on the dashboard.
Ultimate IndicatorThis is a combination of all the price chart indicators I frequently switch between. It contains my day time highlighter (for day trading), multi-timeframe long-term trend indicator for current commodity in the bottom right, customizable trend EMA which also has multi-timeframe drawing capabilities, VWAP, customizable indicators with separate settings from the trend indicator including: EMA, HL2 over time, Donchian Channels, Keltner Channels, Bollinger Bands, and Super Trend. The settings for these are right below the trend settings and can have their length and multiplier adjusted. All of those also have multi-timeframe capabilities separate from the trend multi-time settings.
The Day Trade Highlight option will draw faint yellow between 9:15-9:25, red between 9:25-9:45, yellow between 9:45-10:05. There will be one white background at 9:30am to show the opening of the market. while the market is open there will be a very faint blue background. For the end of the day there will be yellow between 15:45-15:50, red between 15:50-16:00, and yellow between 16:00-16:05. During the night hours, there is no coloring. The purpose of this highlight is to show the opening / closing times of the market and the hot times for large moves.
The indicators can also be colored in the following ways:
1. Simple = Makes all colors for the indicator Gray
2. Trend = Will use the Donchian Channels to get the short-trend direction and by default will color the short-term direction as Blue or Red. Unless using Super Trend, the Donchian Channel is used to find short-term trend direction.
3. Trend Adv = Will use the Donchian Channels to get the short-trend direction and by default will color the short-term direction as Blue or Red. Unless using Super Trend, the Donchian Channel is used to find short-term trend direction. If there is a short-term up-trend during a long-term down-trend, the Blue will become Navy. If short-term down-trend during long-term up-trend, the Red will be Brown.
4. Squeeze = Compares the Bollinger Bands width to the Keltner Channels width and will color based on relative squeeze of the market: Teal = no squeeze. Yellow = little squeeze. Red = decent squeeze. White = huge squeeze. if you do not understand this one, try drawing the Bollinger Bands while using the Squeeze color option and it should become more apparent how this works. I also recommend leaving the length and multiplier to the default 20 and 2 if using this setting and only changing the timeframe to get longer/shorter lengths as I've seen that changing the length or multiplier can more or less make it not work at all.
Along with the indicator settings are options to draw lines/labels/fills for the indicator. I enjoy having only fills for a cleaner look.
The Labels option will show Buy/Sell signals when the short-term trend flips to agree with the long-term trend.
The Trend Bars option will do the same as the Labels option but instead will color the bars white when a Buy/Sell option is given.
The Range Bars option shows will color a bar white when the Close of a candle is outside of a respective ranging indicator option (Bollinger or Keltner).
The Trend Bars will draw white candles no matter which indicator selection you make (even "Off"). However, Range Bars will only draw white when either Bollinger or Keltner are selected.
The Donchian Channels and Super Trend are trending indicators and should be used during trending markets. I like to use the MACD in conjunction with these indicators for possibly earlier entries.
The Bollinger Bands and Keltner Channel are ranging indicators and should be used during ranging markets. I like to use the RSI in conjunction with these indicators and will use 60/40 for overbought and oversold areas rather than 70/30. During a range, I wait for an overbought or oversold indication and will buy/sell when it crosses back into the middle area and close my position when it touches the opposite band.
I have a MACD/RSI combination indicator if you'd like that as well :D
As always, trade at your own risk. This is not some secret indicator that will 100% win. As always, the trades you see in the picture use a 1:1.5 or 1:2 risk to reward ratio, for today (August 8, 2022) it won 5/6 times with one trade still open at the end of the day. Manage your account correctly and you'll win in the long term. Hit me up with any questions or suggestions. Happy Trading!
Full CRYPTO pack macd, rsi, obv, ema alert versionThis is the indicator version of a simple, yet very efficient crypto strategy, adapted to 4h time frame, on big coins like ETH and BTC . However it can be adapted to other markets, timeframes etc
For this strategy I use a combination of a trend line , an oscillator, price action and volume .
This study has alert for both long and short entries/exit.
The rules are the next ones:
Long : we check that current candle is ascending and above the moving average, the macd is in positive range, rsi is below overbought level and volume is bigger than the moving avg of volume .
For short, we have the opposite long rules.
If you have any questions, please let me know !
Full CRYPTO pack macd, rsi, obv, ema strategyThis is a simple, yet very efficient crypto strategy, adapted to 4h time frame, on big coins like ETH and BTC. However it can be adapted to other markets, timeframes etc
For this strategy I use a combination of a trend line, an oscillator, price action and volume.
This strategy has both the opportunity to go long and short.
As well, it has a leverage simulator .
The rules are the next ones:
Long : we check that current candle is ascending and above the moving average, the macd is in positive range, rsi is below overbought level and volume is bigger than the moving avg of volume.
For short, we have the opposite long rules.
If you have any questions, please let me know !
Collar Color IndicatorThe collar color ribbon indicator uses 4 different colors to help you deciding what to do with your position.
It uses a combination of MACD, RSI, SMA5 and SMA20 indicators to predict possible changes stock movement.
Green color
The indicator displays green when the RSI > 50, the MACD > 0 and the SMA5 > SMA20
Green indicates an upward (bullish) trend
When your long position is protected by a PUT option, the first green signal (after a series of 'non' green signals) indicates you could sell your PUT option as the trend becomes bullish.
In case of a short position, you should be protected by a CALL option
Yellow color
The indicator displays yellow when 1 of 3 the 'green' conditions aren't met
Yellow indicates that an upwards (bullish) trend is weakening or that a downwards (bearish) trend is strongly transitioning towards an upward (bullish) trend
If going short then you should consider buying a CALL option to protect your position
Orange color
The indicator displays orange when 2 of the 3 'green' conditions aren't met
Orange indicates that an upwards bullish trend is strongly transitioning towards a downwards bearish trend or that a downwards (bearish) trend is weakening
If going long then this you should considering buying a PUT option to protect your position
Red color
The indicator displays red when none of the 'green' conditions are met
Red indicates an downwards (bearish) trend
When your short position is protected by a CALL option, the first red signal (after a series of 'non' red signals) indicates you could sell your CALL option as the trend becomes bearish.
In case of a long position, you should be protected by a PUT option
Dynamic Market ScannerDynamic Market Scanner is a powerful tool for analyzing financial markets, combining a variety of indicators to provide clear and understandable signals.
Key Features:
- Signal Generation:
The main signals "Buy", "Sell", and "Hold" are formed based on the analysis of indicators:
- MACD
- RSI
- SMA
- EMA
- WMA
- Hull MA
Additional Analytical Tools:
- ATR is used to assess volatility and helps to understand the risk of the current market situation.
- SMA Ichimoku does not generate signals but is used to assess their accuracy.
- If the price is above the SMA, "Buy" signals are more likely, as this confirms the strength of the upward movement.
- If the price is below the SMA, "Buy" signals require additional confirmations.
Dashboard:
Displays the current price position relative to the indicators, helping the trader understand how strong or weak the current signals are.
Advantages of Using:
1. Signal Filtering:
The price position relative to the SMA Ichimoku helps to assess the likelihood of successful trades.
2. Volatility Analysis:
ATR provides additional information about risks and market fluctuations.
3. Comprehensive Approach:
Signal generation is based on a combination of key indicators, offering a multifaceted view of the market.
Explanation of Percent Calculation in the Table:
- The table shows the values of indicators such as MACD, ATR, EMA, SMA, WMA, and Hull MA in percentages. Percentages are calculated based on the current value of the indicator relative to its maximum and minimum.
- Percentages are displayed for each indicator, allowing traders to assess market conditions based on their current values.
Dynamic Market Scanner will become a reliable assistant in your technical analysis toolkit, providing a comprehensive overview of market conditions and helping to make informed trading decisions.
BEC (Bearish Elephant Candle)Description:
The Bearish Elephant Candle Indicator is designed to identify and signal potential short entry points based on the Bearish Elephant Candle pattern. This pattern is characterized by a large bearish candle, where the body (difference between open and close) is more than 70% of the entire range (difference between high and low), and the total range is greater than the average true range over a specified period. The indicator also plots a 20-period Exponential Moving Average (EMA) to help visualize the trend.
How It Works:
Bearish Elephant Candle Identification:
The indicator calculates the true range and the average true range (ATR) over a specified period (default is 20 periods).
A candle is identified as a Bearish Elephant Candle if the body is more than 70% of the entire range, and the total range exceeds the average true range.
Short Entry Signal:
When a Bearish Elephant Candle is identified, a short entry signal is plotted on the chart as a red downward label.
Exponential Moving Average (EMA):
A 20-period EMA is plotted on the chart to help users visualize the overall trend. The EMA can serve as an additional filter or exit point for trades.
Pros:
Simplicity: The Bearish Elephant Candle pattern is straightforward to understand and identify.
Visual Signals: The indicator provides clear visual signals for potential short entries, making it easy for traders to spot opportunities.
Trend Visualization: The inclusion of the EMA helps traders stay aligned with the overall trend, potentially improving the effectiveness of the signals.
Cons:
False Signals: Like any pattern-based indicator, it can generate false signals, especially in choppy or sideways markets.
No Confirmation: This version of the indicator does not include additional confirmation signals (e.g., from other indicators like MACD), which may reduce its reliability.
Limited Scope: The indicator focuses solely on bearish signals and does not provide long entry signals.
Best Way to Use It:
Trend Alignment: Use the 20-period EMA to ensure you are trading in the direction of the overall trend. For example, prioritize short signals when the price is below the EMA.
Combine with Other Indicators: Enhance the reliability of the signals by combining this indicator with other technical indicators (e.g., MACD, RSI) for additional confirmation.
Risk Management: Always use proper risk management techniques, such as stop-loss orders, to protect against adverse market movements. Consider placing stop-loss orders above the high of the Bearish Elephant Candle.
Market Context: Be mindful of the broader market context and avoid using the indicator in highly volatile or news-driven environments where patterns may be less reliable.
JC_MacD_RSI_Candle_Strat_public//
// Author : Jacques CRETINON
// Last Version : V1.0 11-22-2016
//
// Risk disclaimer : Do not use this script in production environment. We assume no liability or responsibility for any damage to you, your computer, or your other property, due to the use of this script.
//
// Purpose of this script :
// 1- use same pine code for strategy or study script (with simple modifications)
// 2- be able to send alerts : enterlong, entershort, exitlong, exitshort, stoplosslong, stoplossshort, takeprofitlong, takeprofitshort in a study script like a strategy script should do
// 3- do not repaint (I HOPE)
//
// RoadMap :
// 1- manage : Trailing Stop Loss and Trailing Stop Loss offset
//
// I use this script :
// 1- with default value for XAUUSD, current chart resolution : 1mn, large timeframe : 15mn.
// 2- That's why I hard code MACD5 (5mn average), MACD15 (15mn average), MACD60 (1h average) ...
// 3- MACD, RSI (1mn and 15mn) and Candles info are my inputs to take any decisions
//
// I do not publish my enterLong, enterShort, exitLong and exitShort conditions (lines 204 to 207 are sample !) as they are not as perfect as I'd like. Fell free to use your own conditions :)
//
// Please, report me any bug, fell free to discuss and share. English is not my natural language, so be clement ;) Happy safe trading :)
MACDPROThis MACDPRO indicator is based on MACD, RSI, ADX, BB and it has LONG/SHORT alerts for signals
In script settings you can specify:
1) Dispertion value, 3 by default.
2) Noise filter smooth factor, 16 by default.
3) Enable/Disable RSIPROv5 TrendIndicator algorythm
4) Setting RSI Overbought and Oversold values
5) Enable/Disable stop loss and take profit filter for indicator
6) Enable/Disable BB
Best fits for 30-60 min timeframe. Also good for 15min scalping strategy. Fits for any crypto coins, forex, metals, oil and bonds.
This is very powerfull script and will be private soon
