Tutorial - Adding sessions to strategiesA simple script to illustrate how to add sessions to trading strategies.
In this interactive tutorial, you'll learn how to add trading sessions to your strategies using Pine Script. By the end of this session (pun intended!), you'll be able to create custom trading windows that adapt to changing market conditions.
What You'll Learn:
Defining Trading Sessions: Understand how to set up specific time frames for buying and selling, tailored to your unique trading style.
RSI-Based Entry Signals: Discover how to use the Relative Strength Index (RSI) as a trigger for buy and sell signals, helping you capitalize on market trends.
Combining Session Logic with Trading Decisions: Learn how to integrate session-based logic into your strategy, ensuring that trades are executed only during designated times.
By combining these elements, we create an interactive strategy that:
1. Generates buy and sell signals based on RSI levels.
2. Checks if the market is open during a specific trading session (e.g., 1300-1700).
3. Executes trades only when both conditions are met.
**Tips & Variations:**
* Experiment with different RSI periods, thresholds, and sessions to optimize your strategy for various markets and time frames.
* Consider adding more advanced logic, such as stop-losses or position sizing, to further refine your trading approach.
Get ready to take your Pine Script skills to the next level!
~Description partially generated with Llama3_8B
Relative Strength Index (RSI)
[PUBLIC] - Trade Zones with SL/TP and Buy/Sell Signals - [LFES]Trade Zones with SL/TP and Buy/Sell Signals
Este indicador identifica oportunidades de trading baseadas na relação entre o RSI e sua média móvel, com gerenciamento visual de risco através de zonas de lucro/prejuízo.
Smart Market Bias [PhenLabs]📊 Smart Market Bias Indicator (SMBI)
Version: PineScript™ v6
Description
The Smart Market Bias Indicator (SMBI) is an advanced technical analysis tool that combines multiple statistical approaches to determine market direction and strength. It utilizes complexity analysis, information theory (Kullback Leibler divergence), and traditional technical indicators to provide a comprehensive market bias assessment. The indicator features adaptive parameters based on timeframe and trading style, with real-time visualization through a sophisticated dashboard.
🔧 Components
Complexity Analysis: Measures price movement patterns and trend strength
KL Divergence: Statistical comparison of price distributions
Technical Overlays: RSI and Bollinger Bands integration
Filter System: Volume and trend validation
Visual Dashboard: Dynamic color-coded display of all components
Simultaneous current timeframe + higher time frame analysis
🚨Important Explanation Feature🚨
By hovering over each individual cell in this comprehensive dashboard, you will get a thorough and in depth explanation of what each cells is showing you
Visualization
HTF Visualization
📌 Usage Guidelines
Based on your own trading style you should alter the timeframe length that you would like to be analyzing with your dashboard
The longer the term of the position you are planning on entering the higher timeframe you should have your dashboard set to
Bias Interpretation:
Values > 50% indicate bullish bias
Values < 50% indicate bearish bias
Neutral zone: 45-55% suggests consolidation
✅ Best Practices:
Use appropriate timeframe preset for your trading style
Monitor all components for convergence/divergence
Consider filter strength for signal validation
Use color intensity as confidence indicator
⚠️ Limitations
Requires sufficient historical data for accurate calculations
Higher computational complexity on lower timeframes
May lag during extremely volatile conditions
Best performance during regular market hours
What Makes This Unique
Multi-Component Analysis: Combines complexity theory, statistical analysis, and traditional technical indicators
Adaptive Parameters: Automatically optimizes settings based on timeframe
Triple-Layer Filtering: Uses trend, volume, and minimum strength thresholds
Visual Confidence System: Color intensity indicates signal strength
Multi-Timeframe Capabilities: Allowing the trader to analyze not only their current time frame but also the higher timeframe bias
🔧 How It Works
The indicator processes market data through four main components:
Complexity Score (40% weight): Analyzes price returns and pattern complexity
Kullback Leibler Divergence (30% weight): Compares current and historical price distributions
RSI Analysis (20% weight): Momentum and oversold/overbought conditions
Bollinger Band Position (10% weight): Price position relative to volatility
Underlying Method
Maintains rolling windows of price data for multiple calculations
Applies custom normalization using hyperbolic tangent function
Weights component scores based on reliability and importance
Generates final bias percentage with confidence visualization
💡 Note: For optimal results, use in conjunction with price action analysis and consider multiple timeframe confirmation. The indicator performs best when all components show alignment.
Strategy with Volume, MACD, RSI, StochRSIExplanation:
MACD: Used to identify momentum and trend direction.
RSI: Used to identify overbought/oversold conditions.
StochRSI: A more sensitive version of RSI, used to confirm RSI signals.
Volume Spike: Ensures trades are taken only when volume is above a threshold, indicating strong interest.
How to Use:
Copy and paste the code into the Pine Script editor in TradingView.
Add it to the BTCUSDT.P chart on Binance.
Backtest the strategy on historical data to evaluate its performance.
Adjust the input parameters to optimize the strategy for your trading style.
Notes:
This is a basic strategy and may not perform well in all market conditions.
Always backtest and forward-test strategies before using them with real money.
Consider adding risk management features like stop-loss and take-profit levels.
Gaussian Channel with Stochastic RSI StrategyStrategy based on the Gaussian Channel and add Stochastic RSI to avoid bad trades.
Gaussian Channel indicates the overall trend, up or down.
StochasticRSI helps to avoid unnecessary trades.
Buy when price closed above the upper Gaussian Channel line AND when Stochastic is up.
Sell when price closes below the upper Gaussian Channel line.
Works for longs only, no shorting.
Never uses lookahead_on.
Smart Trading Signals with TP/SL//@version=5
indicator("Smart Trading Signals with TP/SL", shorttitle="STS-TP/SL", overlay=true, max_labels_count=500)
// —————— Input Parameters ——————
// Signal Configuration
signalType = input.string("EMA Crossover", "Signal Type", options= )
emaFastLen = input.int(9, "Fast EMA Length", minval=1)
emaSlowLen = input.int(21, "Slow EMA Length", minval=1)
rsiLength = input.int(14, "RSI Length", minval=1)
rsiOverbought = input.int(70, "RSI Overbought", maxval=100)
rsiOversold = input.int(30, "RSI Oversold", minval=0)
// Risk Management Inputs
useFixedTP = input.bool(true, "Use Fixed TP (%)", tooltip="TP as percentage from entry")
tpPercentage = input.float(2.0, "Take Profit %", step=0.1)
tpPoints = input.float(100, "Take Profit Points", step=1.0)
useFixedSL = input.bool(true, "Use Fixed SL (%)", tooltip="SL as percentage from entry")
slPercentage = input.float(1.0, "Stop Loss %", step=0.1)
slPoints = input.float(50, "Stop Loss Points", step=1.0)
// —————— Calculate Indicators ——————
// EMAs for Trend
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
emaBullish = ta.crossover(emaFast, emaSlow)
emaBearish = ta.crossunder(emaFast, emaSlow)
// RSI for Momentum
rsi = ta.rsi(close, rsiLength)
rsiBullish = ta.crossover(rsi, rsiOversold)
rsiBearish = ta.crossunder(rsi, rsiOverbought)
// —————— Generate Signals ——————
buyCondition = (signalType == "EMA Crossover" and emaBullish) or (signalType == "RSI Divergence" and rsiBullish)
sellCondition = (signalType == "EMA Crossover" and emaBearish) or (signalType == "RSI Divergence" and rsiBearish)
// —————— Calculate TP/SL Levels ——————
var float entryPrice = na
var bool inTrade = false
// Calculate TP/SL based on user input
takeProfitPrice = useFixedTP ? entryPrice * (1 + tpPercentage / 100) : entryPrice + tpPoints
stopLossPrice = useFixedSL ? entryPrice * (1 - slPercentage / 100) : entryPrice - slPoints
// —————— Plot Signals and Levels ——————
if buyCondition and not inTrade
entryPrice := close
inTrade := true
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
line.new(bar_index, entryPrice, bar_index + 1, entryPrice, color=color.green, width=2)
line.new(bar_index, takeProfitPrice, bar_index + 1, takeProfitPrice, color=color.teal, width=2, style=line.style_dashed)
line.new(bar_index, stopLossPrice, bar_index + 1, stopLossPrice, color=color.red, width=2, style=line.style_dashed)
if sellCondition and inTrade
entryPrice := close
inTrade := false
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
line.new(bar_index, entryPrice, bar_index + 1, entryPrice, color=color.red, width=2)
line.new(bar_index, takeProfitPrice, bar_index + 1, takeProfitPrice, color=color.teal, width=2, style=line.style_dashed)
line.new(bar_index, stopLossPrice, bar_index + 1, stopLossPrice, color=color.red, width=2, style=line.style_dashed)
// —————— Alerts ——————
alertcondition(buyCondition, title="Buy Signal Alert", message="BUY Signal Triggered")
alertcondition(sellCondition, title="Sell Signal Alert", message="SELL Signal Triggered")
// —————— Plot EMAs and RSI ——————
plot(emaFast, "Fast EMA", color.new(color.blue, 0))
plot(emaSlow, "Slow EMA", color.new(color.orange, 0))
QT RSI [ W.ARITAS ]The QT RSI is an innovative technical analysis indicator designed to enhance precision in market trend identification and decision-making. Developed using advanced concepts in quantum mechanics, machine learning (LSTM), and signal processing, this indicator provides actionable insights for traders across multiple asset classes, including stocks, crypto, and forex.
Key Features:
Dynamic Color Gradient: Visualizes market conditions for intuitive interpretation:
Green: Strong buy signal indicating bullish momentum.
Blue: Neutral or observation zone, suggesting caution or lack of a clear trend.
Red: Strong sell signal indicating bearish momentum.
Quantum-Enhanced RSI: Integrates adaptive energy levels, dynamic smoothing, and quantum oscillators for precise trend detection.
Hybrid Machine Learning Model: Combines LSTM neural networks and wavelet transforms for accurate prediction and signal refinement.
Customizable Settings: Includes advanced parameters for dynamic thresholds, sensitivity adjustment, and noise reduction using Kalman and Jurik filters.
How to Use:
Interpret the Color Gradient:
Green Zone: Indicates bullish conditions and potential buy opportunities. Look for upward momentum in the RSI plot.
Blue Zone: Represents a neutral or consolidation phase. Monitor the market for trend confirmation.
Red Zone: Indicates bearish conditions and potential sell opportunities. Look for downward momentum in the RSI plot.
Follow Overbought/Oversold Boundaries:
Use the upper and lower RSI boundaries to identify overbought and oversold conditions.
Leverage Advanced Filtering:
The smoothed signals and quantum oscillator provide a robust framework for filtering false signals, making it suitable for volatile markets.
Application: Ideal for traders and analysts seeking high-precision tools for:
Identifying entry and exit points.
Detecting market reversals and momentum shifts.
Enhancing algorithmic trading strategies with cutting-edge analytics.
Multi-Timeframe Indicators Table with DivergenceThis indicator provides a comprehensive view of key technical indicators across multiple timeframes: Monthly, Weekly, and Daily. It includes the following:
RSI (Relative Strength Index): Shows momentum strength for each timeframe.
MFI (Money Flow Index): Tracks the flow of money into and out of the asset.
CCI (Commodity Channel Index): Identifies overbought or oversold conditions.
BB% (Bollinger Bands Percent): Measures the price relative to Bollinger Bands for volatility analysis.
The indicator also highlights potential divergences between price action and each technical indicator. Divergence is indicated when the price moves in one direction while the indicator moves in the opposite, which could signal a possible trend reversal.
Features:
Multi-timeframe analysis (Monthly, Weekly, Daily & Intraday)
Visual representation of key indicators with colors for easy interpretation
Divergence alerts for trend reversal opportunities
Customizable indicator lengths and colors
Use this tool to analyze price trends, potential reversals, and identify high-probability trading opportunities across different timeframes
Gaussian Channel with Stochastic RSIStrategy based on the Gaussian Channel and add Stochastic RSI to avoid bad trades.
Good for Long only, no shorting.
Never uses lookahead_on.
Inverika Reversal - Cyclic RSIThis is for reversal trades based on Cyclic RSI Smoothed - Length 20.
Buy when CRSI moves above 40 from below.
Sell when CRSI moves below 60 from above.
The accuracy is phenomenal for holding the trades for big moves. I am using in it in 1 min, 5 min and 15 min TF.
This is just experimental. One should be cautious on their own before using this indicator.
Inverika Direct - CRSI-basedThis generates Buy Sell signals based on CRSI.
Buy when CRSI crosses above 60.
Sell when CRSI crosses below 40.
Good for scalping. I use it in 1 min, 5 min and 15 min TF.
This is for personal use. One should be cautious using this indicator.
RSI & DPO support/resistanceThis indicator combines the Relative Strength Index (RSI) to identify overbought and oversold conditions with the Detrended Price Oscillator (DPO) to highlight support and resistance levels.
Unlike traditional indicators that display these metrics in a separate window, this tool integrates them directly onto the main price chart.
This allows for a more cohesive analysis, enabling traders to easily visualize the relationship between price movements and momentum indicators in one unified view.
How to Use It:
Identify Overbought and Oversold Conditions:
Look for RSI values above 70 to identify overbought conditions, suggesting a potential price reversal or pullback. Conversely, RSI values below 30 indicate oversold conditions, which may signal a potential price bounce or upward movement.
Analyze Support and Resistance Levels:
Observe the DPO lines on the main chart to identify key support and resistance levels. When the price approaches these levels, it can provide insights into potential price reversals or breakouts.
Combine Signals for Trading Decisions:
Use the RSI and DPO signals together to make informed trading decisions. For example, if the RSI indicates an overbought condition while the price is near a resistance level identified by the DPO, it may be a good opportunity to consider selling or taking profits.
Monitor Divergences:
Watch for divergences between the RSI and price movements. If the price is making new highs while the RSI is not, it could indicate weakening momentum and a potential reversal.
Set Alerts:
Consider setting alerts for when the RSI crosses above or below the overbought or oversold thresholds, or when the price approaches significant support or resistance levels indicated by the DPO.
Practice Risk Management:
Always use proper risk management techniques, such as setting stop-loss orders and position sizing, to protect your capital while trading based on these indicators.
By following these steps, traders can effectively utilize this indicator to enhance their market analysis and improve their trading strategies.
EMA + RSI + SR Key Features:
Inputs:
EMA Length (default: 50), RSI Length (14), HMA Length (20).
Overbought (70) and Oversold (30) RSI levels.
Support/Resistance Lookback (50).
Calculations:
EMA: Trend baseline.
HMA: Smoother trend detection.
RSI: Overbought/oversold conditions.
Support/Resistance Levels: Recent highs/lows over the lookback period.
Signals:
Buy: Uptrend + RSI oversold + near support.
Sell: Downtrend + RSI overbought + near resistance.
Visuals:
Plots EMA, HMA, RSI levels, support/resistance lines.
Buy/sell signals as labels on the chart.
Alerts:
Notifications for buy/sell signals.
NQ Trading Indicator 2Buy Signal: Triggered when the MACD line crosses above the signal line and the RSI is below 30, indicating an oversold condition.
Sell Signal: Triggered when the MACD line crosses below the signal line and the RSI is above 70, indicating an overbought condition.
False Breakout Notification: Highlights when MACD and RSI indicate conditions opposing their typical breakout behavior (e.g., RSI is overbought during a bullish crossover or oversold during a bearish crossover).
NQ Trading Indicator for 1 min chartFor 1 minute scalp on NQ.
Buy Signal: Triggered when the MACD line crosses above the signal line and the RSI is below 30, indicating an oversold condition.
Sell Signal: Triggered when the MACD line crosses below the signal line and the RSI is above 70, indicating an overbought condition.
False Breakout Notification: Highlights when MACD and RSI indicate conditions opposing their typical breakout behavior (e.g., RSI is overbought during a bullish crossover or oversold during a bearish crossover).
RSI & RSI-MA Buy-Sell IndicatorThe RSI & RSI-MA Buy-Sell Indicator is a technical analysis tool designed to identify potential trading opportunities based on the Relative Strength Index (RSI) and its moving average (RSI-MA). The indicator provides clear buy and sell signals when specific conditions are met, helping traders make informed decisions.
How It Works
This indicator is based on two main components:
Relative Strength Index (RSI): Measures the strength and momentum of price movements.
RSI Moving Average (RSI-MA): A simple moving average of RSI values, used to smooth out volatility and confirm trends.
Trading Signals:
A buy signal occurs when the RSI crosses above 70 after previously being below 30, and the RSI-MA is above a predefined threshold.
A sell signal is generated when the RSI crosses below 30 after previously being above 70, and the RSI-MA is below the threshold.
Visual labels for "BUY" and "SELL" appear on the RSI chart rather than the price chart, making it easier to interpret the signals.
Alerts can be set to notify traders when a buy or sell condition is met.
Benefits of the Indicator
Clear Trading Signals: The indicator removes subjectivity by providing distinct buy and sell signals.
Enhanced Trend Confirmation: RSI-MA helps validate RSI movements, reducing false signals.
Customizable Inputs: Traders can adjust the RSI period, RSI-MA period, and reference level based on their strategy.
Efficient for Momentum Trading: Works well in volatile markets where RSI movements are pronounced.
Compatible with Alerts: Can send notifications when trading conditions are met, allowing traders to act swiftly.
Risks & Limitations
False Signals in Sideways Markets: RSI can generate misleading signals when the market lacks a clear trend.
Lagging Nature of Moving Averages: RSI-MA may cause a delay in signal generation compared to RSI alone.
Market Conditions Dependency: Works best in trending markets but may be unreliable during low volatility.
Not a Standalone Strategy: Should be used in conjunction with other indicators, fundamental analysis, and risk management techniques.
Overbought/Oversold Assumptions: Just because RSI reaches extreme levels doesn’t guarantee a reversal—prices can remain overbought/oversold for extended periods.
Conclusion
The RSI & RSI-MA Buy-Sell Indicator is a powerful tool for identifying momentum shifts and potential trade setups. However, like all technical indicators, it has limitations and should be used alongside other analysis techniques. Traders must implement proper risk management and avoid relying solely on RSI signals for trading decisions. With careful usage, this indicator can help enhance decision-making and improve trade timing in dynamic markets.
Momentum, RSI, and MACD Strategy with Stop Loss//@version=5
strategy("Momentum, RSI, and MACD Strategy with Stop Loss", overlay=true, calc_on_every_tick=true)
// Input for Momentum
length = input(12, title="Momentum Length")
price = close
// Input for RSI
rsiLength = input(14, title="RSI Length")
rsiSource = close
rsiValue = ta.rsi(rsiSource, rsiLength)
// Input for MACD
fast_length = input(12, title="Fast Length")
slow_length = input(26, title="Slow Length")
src = close
signal_length = input.int(9, title="Signal Smoothing")
sma_source = input.string("EMA", title="Oscillator MA Type", options= )
sma_signal = input.string("EMA", title="Signal Line MA Type", options= )
// ATR Inputs and Calculation
atrLength = input.int(title="ATR Length", defval=14, minval=1)
smoothing = input.string(title="ATR Smoothing", defval="RMA", options= )
ma_function(source, length) =>
switch smoothing
"RMA" => ta.rma(source, length)
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
=> ta.wma(source, length)
atrValue = ma_function(ta.tr(true), atrLength)
// Calculating Momentum
momentum(seria, length) =>
mom = seria - seria
mom
mom0 = momentum(price, length)
mom1 = momentum(mom0, 1)
// Calculating MACD
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal
// Long Entry Condition
longCondition = mom0 > 0 and mom1 > 0 and rsiValue > 50 and macd > 0
if (longCondition)
strategy.entry("MomRSIMACD Long", strategy.long, stop=high+syminfo.mintick, comment="MomRSIMACD Long")
strategy.exit("Exit Long", from_entry="MomRSIMACD Long", stop=price-15, limit=price+15)
// Short Entry Condition
shortCondition = mom0 < 0 and mom1 < 0 and rsiValue < 50 and macd < 0
if (shortCondition)
strategy.entry("MomRSIMACD Short", strategy.short, stop=low-syminfo.mintick, comment="MomRSIMACD Short")
strategy.exit("Exit Short", from_entry="MomRSIMACD Short", stop=price+15, limit=price-15)
Easy Profit SR Buy Sell By DSW The "Fast 9 MA" refers to a 9-period simple moving average (SMA) that tracks the average price of an asset over the last 9 bars, providing a shorter-term view of price trends. The "Slow 21 MA" is a 21-period SMA, which smooths out price fluctuations over a longer period, giving a broader perspective on the market trend. The 9-period fast moving average reacts more quickly to price changes, while the 21-period slow moving average lags behind, making it useful for identifying more stable trends. The combination of these two moving averages helps traders identify potential buy or sell signals through crossovers, with the fast MA crossing above the slow MA signaling a buy and vice versa for a sell. The 14 RSI (Relative Strength Index) is a momentum oscillator that measures the speed and change of price movements, indicating overbought or oversold conditions when it reaches levels above 70 or below 30, respectively. Together, these indicators provide a comprehensive view of both trend direction and market momentum, assisting traders in making informed decisions.
BTC/FOREX/INDEX SCALP INDICATOR BY MANDALORIANThis indicator helps trader to make them a more consultative decision based on given parameters in this indicator.
Easy Profit SR Buy Sell By DSW This script, titled "Easy Profit 500-1000 Buy Sell By DSW with Support and Resistance," is designed for use in TradingView and provides a simple yet effective trading strategy. The indicator uses moving averages to generate buy and sell signals based on crossovers between a fast (9-period) and slow (21-period) simple moving average (SMA). When the fast MA crosses above the slow MA, a buy signal is triggered, and when the fast MA crosses below the slow MA, a sell signal is generated. Additionally, the script integrates the Relative Strength Index (RSI) for confirmation, using an overbought level of 70 and an oversold level of 30 to further refine the buy and sell signals. Enhanced buy and sell signals are plotted when the crossover conditions align with the RSI confirmation, providing clearer entry and exit points. The script also includes dynamic support and resistance levels based on the highest high and lowest low over a customizable lookback period, helping traders identify key price levels. The resistance and support lines are plotted directly on the chart, with the resistance level marked in red and the support level in green. An optional shaded area between support and resistance can also be displayed to visually highlight potential trading ranges.
RSI with Merged SMA (RSI Shifted)rsi with merged sma and rsi shifted ; you can find out where exactly buy and sell
