SuperTrend Adaptive (STD Smooth)Supertrend DeNoise (StdDev + Smoothing) is an advanced trend-following indicator designed to reduce false signals and market noise. This version enhances the classic Supertrend by incorporating standard deviation into the channel calculation and a smoothing factor, making the bands wider and more adaptive to volatility. The result is fewer whipsaws and clearer, more robust trend signals. Buy and sell labels appear only at the latest signal, keeping your chart uncluttered and focused. Ideal for traders seeking a cleaner trend indicator for any timeframe.
Indicadores e estratégias
Smart Money Index (SMI) EnhancedSmart Money Index (SMI) Enhanced is an indicator that visualizes the behavior of "smart money" based on intraday price movements.
📌 Based on Don Hays’ classic formula:
SMI = Yesterday’s value – Morning movement + Late-day movement
🔍 Key Features:
Highlighted buy/sell zones for accumulation and distribution;
Alerts for crossovers between SMI and its moving average;
Supports multiple timeframes (hourly, daily, weekly).
✅ Useful for identifying institutional sentiment and potential market reversal points.
ℹ️ Works with stocks, indices, and cryptocurrencies.
This script is for educational purposes only and not financial advice.
Year/Quarter Open LevelsDeveloped by ADEL CEZAR and inspired by insights from ERDAL Y, this indicator is designed to give traders a clear edge by automatically plotting the Yearly Open and Quarterly Open levels — two of the most critical institutional reference points in price action.
These levels often act as magnets for liquidity, bias confirmation zones, and support/resistance pivots on higher timeframes. With customizable settings, you can display multiple past opens, fine-tune label positions, and align your strategy with high-timeframe structure — all in a lightweight, non-intrusive design.
If you follow Smart Money Concepts (SMC), ICT models, or build confluence using HTF structures and range theory, this script will integrate seamlessly into your workflow.
Mariam Ichimoku DashboardPurpose
The Mariam Ichimoku Dashboard is designed to simplify the Ichimoku trading system for both beginners and experienced traders. It provides a complete view of trend direction, strength, momentum, and key signals all in one compact dashboard on your chart. This tool helps traders make faster and more confident decisions without having to interpret every Ichimoku element manually.
How It Works
1. Trend Strength Score
Calculates a score from -5 to +5 based on Ichimoku components.
A high positive score means strong bullish momentum.
A low negative score shows strong bearish conditions.
A near-zero score indicates a sideways or unclear market.
2. Future Cloud Bias
Looks 26 candles ahead to determine if the future cloud is bullish or bearish.
This helps identify the longer-term directional bias of the market.
3. Flat Kijun / Flat Senkou B
Detects flat zones in the Kijun or Senkou B lines.
These flat areas act as strong support or resistance and can attract price.
4. TK Cross
Identifies Tenkan-Kijun crosses:
Bullish Cross means Tenkan crosses above Kijun
Bearish Cross means Tenkan crosses below Kijun
5. Last TK Cross Info
Shows whether the last TK cross was bullish or bearish and how many candles ago it happened.
Helps track trend development and timing.
6. Chikou Span Position
Checks if the Chikou Span is above, below, or inside past price.
Above means bullish momentum
Below means bearish momentum
Inside means mixed or indecisive
7. Near-Term Forecast (Breakout)
Warns when price is near the edge of the cloud, preparing for a potential breakout.
Useful for anticipating price moves.
8. Price Breakout
Shows if price has recently broken above or below the cloud.
This can confirm the start of a new trend.
9. Future Kumo Twist
Detects upcoming twists in the cloud, which often signal potential trend reversals.
10. Ichimoku Confluence
Measures how many key Ichimoku signals are in agreement.
The more signals align, the stronger the trend confirmation.
11. Price in or Near the Cloud
Displays if the price is inside the cloud, which often indicates low clarity or a choppy market.
12. Cloud Thickness
Shows whether the cloud is thin or thick.
Thick clouds provide stronger support or resistance.
Thin clouds may allow easier breakouts.
13. Recommendation
Gives a simple trading suggestion based on all major signals.
Strong Buy, Strong Sell, or Hold.
Helps simplify decision-making at a glance.
Features
All major Ichimoku signals summarized in one panel
Real-time trend strength scoring
Detects flat zones, crosses, cloud twists, and breakouts
Visual alerts for trend alignment and signal confluence
Compact, clean design
Built with simplicity in mind for beginner traders
Tips
Best used on 15-minute to 1-hour charts for short-term trading
Avoid entering trades when price is inside the cloud because the market is often indecisive
Wait for alignment between trend score, TK cross, cloud bias, and confluence
Use the dashboard to support your trading strategy, not replace it
Enable alerts for major confluence or upcoming Kumo twists
Alpha Trader University - Average Session VolatilityCalculate the Average session Volatility through this
Gold Buy/Sell Signals with Engulfing & S&D ZonesTrade base on the Fast & Slow Moving Average. When the Fast MA line is below the candle, it is an uptrend to BUY. if Fast MA line is above the candle, it's time to SELL.
NIFTY Intraday Strategy - 50 Points📊 NIFTY Intraday Strategy – Description
This Pine Script defines an intraday trading strategy targeting +50 points per trade on NIFTY, using a blend of trend-following and momentum indicators. Here's a breakdown:
🔍 Core Components
1. Indicators Used
VWAP: Volume-Weighted Average Price – institutional anchor for fair value.
Supertrend: Trend direction indicator (parameters: 10, 3.0).
RSI (14): Measures strength/momentum.
ATR (14): Determines volatility for stop-loss calculation.
📈 Entry Conditions
✅ Buy Entry
Price is above VWAP
Supertrend direction is bullish
RSI is above 50
Time is between 9:15 AM and 3:15 PM (India time)
❌ Sell Entry
Price is below VWAP
Supertrend direction is bearish
RSI is below 50
Time is within same market hours
🎯 Exit Logic
Target: 50 points from entry
Stop Loss: 1 × ATR from entry
If neither is hit by 3:15 PM, the position is held (though you may add exit logic at that time).
📌 Visualization
VWAP: orange line
Supertrend: green (uptrend), red (downtrend)
Buy Signal: green triangle below bar
Sell Signal: red triangle above bar
This strategy is ideal for intraday scalping or directional momentum trading in NIFTY Futures or Options.
a. Add end-of-day exit at 3:15 PM to fully close all trades
b. Add a risk-reward ratio input to dynamically adjust target vs stop-loss
🔥 Volatility Squeeze Breakout Strategy (TP/SL in Points)This strategy is designed to catch explosive breakout moves from low-volatility consolidations using a "volatility squeeze" + breakout + momentum" approach. It identifies high-probability buy opportunities when the market is in a tight range and preparing for expansion.
✅ Entry Condition:
- Previous candle is in a squeeze
- Current candle breaks above channel high
- Momentum is positive (ROC)
🎯 Exit Conditions:
- Take Profit in fixed points above entry price
- Stop Loss in fixed points below entry price
🧰 Inputs:
- ATR Length for volatility
- Channel Length for breakout levels
- ROC Length for momentum
- Squeeze threshold (ATR/close)
- TP/SL in absolute price points
📊 Plots:
- Buy signals shown as green triangles
- Channel high/low plotted
- TP/SL levels shown as live lines when in position
Suitable for intraday breakout scalping or directional trades
when price expands from compression zones.
SMEMA Trend CoreSMEMA Trend Core is a multi-timeframe trend analysis tool designed to provide a clean, adaptive and structured view of the market’s directional bias. It can be used in short term, swing or long term contexts. The internal calculation adjusts automatically based on the selected trading style, while always combining data from six timeframes.
At its core, the indicator uses a SMEMA, which is a Simple Moving Average applied to an EMA. This combination improves smoothness without losing reactivity. The SMEMA is calculated separately on 1H, 4H, 1D, 3D, 1W and 1M timeframes. These six values are then combined using dynamic weights that depend on the trading mode:
Short Term mode gives more influence to 1H and 4H
Swing Trading mode gives more influence to 1D, 3D and 1W
Long Term mode gives more influence to 1W and 1M
However, all six timeframes are always included in the final result. This avoids the tunnel vision of relying on a single resolution and ensures that the indicator captures both local and structural movements.
The result is a synthetic trend line, called Global SMEMA, that adapts to market conditions and offers a realistic view of the ongoing trend. To enhance the reading, the indicator calculates a Trend Score. This score reflects the position of price relative to the Global SMEMA, scaled by a long-term ATR, and adjusted by the slope of the trend line. A hyperbolic tangent function is used to normalize values and reduce distortion from outliers.
The final score is capped between -10 and +10, and used to define the trend state:
Green when the trend is bullish (score > +1.5)
Red when the trend is bearish (score < -1.5)
Brown when the trend is neutral (score between -1.5 and +1.5)
Optional Deviation Bands can be displayed at ±1, ±2 and ±3 ATR distances around the central line. These dynamic zones help identify extended price movements or potential support and resistance areas, depending on the current trend bias.
Main features:
A single, stable trend line based on six timeframes
Automatic rebalancing depending on trading mode
Quantified score integrating distance and slope
No overreaction to short-term noise
Deviation zones for advanced market context
No repainting, no lookahead, 100% real-time
SMEMA Trend Core is not a signal tool. It is a directional framework that helps you stay aligned with the real structure of the market. Use it to confirm setups, filter trades or simply understand where the market stands in its trend cycle.
David_FairPriceCandlestick_calculatedDescription:
This indicator displays the "Typical Price" for each candle as a visual marker (cross) directly on the chart. The Typical Price is calculated as the average of the High, Low, and Close values of each bar:
(High + Low + Close) / 3
The marker provides a quick visual reference to the fair or average price level within every single candle.
Unlike a Point of Control (POC) or volume-based indicators, this script works purely with price data and is independent of volume or order flow.
Use cases:
Identify where most trading activity may have been concentrated within the candle (for price-based strategies)
Support as a reference line for mean-reversion or fair value concepts
Works on all timeframes and instruments
Customization:
You can easily change the marker style (cross, dot, triangle, etc.) and color within the script.
JonnyBtc Daily Pullback Strategy (Volume + ADX)📈 JonnyBtc Daily Optimized Pullback Strategy (With Volume + ADX)
This strategy is designed for Bitcoin swing trading on the daily timeframe and uses a combination of price action, moving averages, volume, RSI, and ADX strength filtering to time high-probability entries during strong trending conditions.
🔍 Strategy Logic:
Trend Filter: Requires price to be aligned with both 50 EMA and 200 EMA.
Pullback Entry: Looks for a pullback to a fast EMA (default 21) and a crossover signal back above it.
RSI Confirmation: RSI must be above a minimum threshold for long entries (default 55), or below for short entries.
Volume Filter: Entry is confirmed only when volume is above a 20-day average.
ADX Filter: Only enters trades when ADX is above a strength threshold (default 20), filtering out sideways markets.
Trailing Stop (optional): Uses ATR-based trailing stop-loss and take-profit system, fully configurable.
⚙️ Default Settings:
Timeframe: Daily
Trade Direction: Long-only by default (can be toggled)
Trailing Stop: Enabled (can disable)
Session Filter: Off by default for daily timeframe
📊 Best Use:
Optimized for Bitcoin (BTCUSD) on the 1D chart
Can be adapted to other trending assets with proper tuning
Works best in strong trending markets — not ideal for choppy/ranging conditions
🛠️ Customizable Parameters:
EMA lengths (Fast, Mid, Long)
RSI and ADX thresholds
ATR-based TP/SL multipliers
Trailing stop toggle
Volume confirmation toggle
Time/session filter
⚠️ Disclaimer:
This script is for educational and research purposes only. Past performance does not guarantee future results. Always backtest and verify before trading with real funds.
📈 Pro EMA/SMA Buy Sell (Clean & Glowing) 📈 Pro EMA/SMA Buy Sell
This indicator plots a crossover-based buy/sell signal system using:
- A fast Exponential Moving Average (EMA)
- A slower Simple Moving Average (SMA)
🔹 BUY Signal: When EMA crosses above SMA
🔹 SELL Signal: When EMA crosses below SMA
Features:
✅ Clean glowing lines for EMA and SMA
✅ Transparent glowing BUY (green) and SELL (red) labels
✅ Real-time alert conditions for automated strategy triggers
Ideal for:
- Intraday and Swing Traders
- Beginners looking for trend-based signals
- Chart setups requiring minimal noise but powerful visuals
quanstocThe quanstoc indicator is designed to detect rare and potentially high-probability reversal or trend initiation signals using Stochastic RSI. It identifies a double cross event: two consecutive crosses between %K and %D lines (on back-to-back candles), following a quiet period of at least three candles without any crossover. The signal is marked clearly on the chart and can trigger custom alerts. Supports all timeframes.
EMA-MACD-Stoch by PashaThis indicator combines three popular technical analysis tools — EMA, MACD, and Stochastic — to generate strong and filtered buy/sell signals. It incorporates its own strategic logic and provides trade suggestions only when multiple confirmations align.
Developed by Mehmet (alias: Pasha), this indicator is designed for users seeking short-term entries in markets like BIST. It performs most effectively on the 30-minute timeframe, but can also be used across different timeframes.
Lucy – 3-Bar Reversal with EMA50 Trend Filter📛 Lucy – 3-Bar Reversal with EMA50 Trend Filter
Purpose:
To detect and highlight bullish and bearish 3-bar reversal patterns on the chart, but only when they align with the dominant trend, defined by the EMA 50.
✅ How It Works
🟢 Bullish 3-Bar Reversal (Buy Setup):
Bar 1 is bearish (close < open)
Bar 2 makes a lower low than Bar 1
Bar 3 is bullish (close > open) and closes above Bar 2’s high
Price must be above EMA 50 (trend filter)
✅ Result: Shows a green triangle below the bar
🔴 Bearish 3-Bar Reversal (Sell Setup):
Bar 1 is bullish (close > open)
Bar 2 makes a higher high than Bar 1
Bar 3 is bearish (close < open) and closes below Bar 2’s low
Price must be below EMA 50
✅ Result: Shows a red triangle above the bar
📊 What It Plots:
🔼 Green triangle below bullish signal bar
🔽 Red triangle above bearish signal bar
🟠 Orange line = EMA50 (trend filter)
🔔 Built-in Alerts:
You’ll get an alert if:
A bullish reversal pattern forms above EMA50
A bearish reversal pattern forms below EMA50
🧠 Use Cases:
Great for trend-following traders who want clean, price-action entries
Works well on intraday (15m/1h) or swing (4h/daily) timeframes
Can be used for manual entries, or converted to strategy for automation
quanstocThe quanstoc indicator is designed to detect rare and potentially high-probability reversal or trend initiation signals using Stochastic RSI. It identifies a double cross event: two consecutive crosses between %K and %D lines (on back-to-back candles), following a quiet period of at least three candles without any crossover. The signal is marked clearly on the chart and can trigger custom alerts. Supports all timeframes.
quanstocThe quanstoc2 indicator is designed to detect rare and potentially high-probability reversal or trend initiation signals using Stochastic RSI. It identifies a double cross event: two consecutive crosses between %K and %D lines (on back-to-back candles), following a quiet period of at least three candles without any crossover. The signal is marked clearly on the chart and can trigger custom alerts. Supports all timeframes.
quanstocThe quanstoc indicator is designed to detect rare and potentially high-probability reversal or trend initiation signals using Stochastic RSI. It identifies a double cross event: two consecutive crosses between %K and %D lines (on back-to-back candles), following a quiet period of at least three candles without any crossover. The signal is marked clearly on the chart and can trigger custom alerts. Supports all timeframes.
RSI + WaveTrend Sinyal Alarmı//@version=5
indicator("RSI + WaveTrend Sinyal Alarmı", overlay=true)
// === RSI Divergence ===
len = input.int(9, "RSI Period")
src = input.source(close, "RSI Source")
lbR = input.int(3, "Pivot Lookback Right")
lbL = input.int(1, "Pivot Lookback Left")
osc = ta.rsi(src, len)
plFound = not na(ta.pivotlow(osc, lbL, lbR))
phFound = not na(ta.pivothigh(osc, lbL, lbR))
oscHL = osc > ta.valuewhen(plFound, osc , 1)
priceLL = low < ta.valuewhen(plFound, low , 1)
bullCond = priceLL and oscHL and plFound
oscLL = osc < ta.valuewhen(plFound, osc , 1)
priceHL = low > ta.valuewhen(plFound, low , 1)
hiddenBullCond = priceHL and oscLL and plFound
oscLH = osc < ta.valuewhen(phFound, osc , 1)
priceHH = high > ta.valuewhen(phFound, high , 1)
bearCond = priceHH and oscLH and phFound
oscHH = osc > ta.valuewhen(phFound, osc , 1)
priceLH = high < ta.valuewhen(phFound, high , 1)
hiddenBearCond = priceLH and oscHH and phFound
rsiBuySignal = bullCond or hiddenBullCond
rsiSellSignal = bearCond or hiddenBearCond
// === WaveTrend ===
n1 = input.int(10, "WT Channel Length")
n2 = input.int(21, "WT Average Length")
ap = hlc3
esa = ta.ema(ap, n1)
d = ta.ema(math.abs(ap - esa), n1)
ci = (ap - esa) / (0.015 * d)
tci = ta.ema(ci, n2)
wt1 = tci
wt2 = ta.sma(wt1, 4)
wtCrossUp = ta.crossover(wt1, wt2)
wtCrossDown = ta.crossunder(wt1, wt2)
// === Ortak Sinyal Şartı ===
buySignal = wtCrossUp and rsiBuySignal
sellSignal = wtCrossDown and rsiSellSignal
plotshape(buySignal, style=shape.labelup, color=color.lime, text="AL", title="AL Sinyali")
plotshape(sellSignal, style=shape.labeldown, color=color.red, text="SAT", title="SAT Sinyali")
alertcondition(buySignal, title="AL Sinyali", message="RSI Divergence + WaveTrend AL sinyali oluştu!")
alertcondition(sellSignal, title="SAT Sinyali", message="RSI Divergence + WaveTrend SAT sinyali oluştu!")
Simplified STH-MVRVSTH-MVRV for MSTR
STH-MVRV compares the Market Value (current price × circulating supply) to the Realized Value (the total cost basis of coins held by short-term holders,
BigCandleLibrary "BigCandle"
init()
method bigGreenCandleTail(state, i)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
i (int)
method bigRedCandleTail(state, i)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
i (int)
method removeCrossedGreenCandleIndexes(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method removeCrossedRedCandleIndexes(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method run(state, opts)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
opts (BigCandleOpts)
method lastGreenCandleIndex(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method lastRedCandleIndex(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method lastGreenCandleTail(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method lastRedCandleTail(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method lastGreenCandleStrength(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method lastRedCandleStrength(state)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
method reset(state, direction)
Namespace types: BigCandleState
Parameters:
state (BigCandleState)
direction (int)
BigCandleState
Fields:
greenCandleIndexes (array)
redCandleIndexes (array)
greenCandleStrength (array)
redCandleStrength (array)
averageHeight (series float)
averageBodyHeight (series float)
heightPercentage (series float)
bodyHeightPercentage (series float)
BigCandleOpts
Fields:
averageHeightPeriod (series int)
minCandleHeight (series float)
minCandleBodyHeight (series float)
minCandleHeight2 (series float)
minCandleBodyHeight2 (series float)
Babil34 Comparative Average PanelBabil34 Comparative Average Panel is an advanced moving averages dashboard that allows you to add and compare up to 5 EMAs, 5 DEMAs, and 5 SMAs simultaneously.
You can independently set the period, source, and timeframe for each average. With its colorful table and optional labels, you can easily observe the differences, trend changes, and crossovers between all averages at a glance.
It is suitable for both short-term and long-term strategies and lets you monitor multiple averages side by side.
Key Features:
Support for up to 5 independent EMAs, 5 DEMAs, and 5 SMAs
Multi-timeframe and multi-source selection
Clean, colorful table visualization
Toggleable labels and table for flexibility
Compatible with all markets and timeframes
Enhanced visual and technical analysis
This panel is specifically designed for traders who want to compare different types and periods of moving averages at a glance.
Yearly Performance Table with CAGROverview
This Pine Script indicator provides a clear table displaying the annual performance of an asset, along with two different average metrics: the arithmetic mean and the geometric mean (CAGR).
Core Features
Annual Performance Calculation:
Automatically detects the first trading day of each calendar year.
Calculates the percentage return for each full calendar year.
Based on closing prices from the first to the last trading day of the respective year.
Flexible Display:
Adjustable Period: Displays data for 1-50 years (default: 10 years).
Daily Timeframe Only: Functions exclusively on daily charts.
Automatic Update: Always shows the latest available years.
Two Average Metrics:
AVG (Arithmetic Mean)
A simple average of all annual returns. (Formula: (R₁ + R₂ + ... + Rₙ) ÷ n)
Important: Can be misleading in the presence of volatile returns.
GEO (Geometric Mean / CAGR)
Compound Annual Growth Rate. (Formula: ^(1/n) - 1)
Represents the true average annual growth rate.
Fully accounts for the compounding effect.
Limitations
Daily Charts Only: Does not work on intraday or weekly/monthly timeframes.
Calendar Year Basis: Calculations are based on calendar years, not rolling 12-month periods.
Historical Data: Dependent on the availability of historical data from the broker/data provider.
Interpretation of Results
CAGR as Benchmark: The geometric mean is more suitable for performance comparisons.
Annual Patterns: Individual year figures can reveal seasonal or cyclical trends.