EMAx2 Trend Cloud Fill IndicatorInspired by @Skyrexio - adds a fill gradient between the fast slow EMA lines. Optionally, the fill gradient can be hidden or disabled without adjusting opacity settings!
Indicadores e estratégias
Moving Average Ribbon with Cross Markers (Po)Basically just MA Ribbon with crossover markers, works nicely on 1 month 30 minute view.
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.
EMA Crossover with 50 EMA Filter50-period EMA: We added the 50-period EMA as the filterEMA variable.
Buy and Sell Conditions: The buy signal is generated only if the 8-period and 16-period EMAs both cross above each other and are above the 50-period EMA. Similarly, the sell signal is generated when the 8-period and 16-period EMAs cross below each other and are below the 50-period EMA.
Plotting: The 50-period EMA is also plotted on the chart (in orange).
This strategy will ensure that the buy signals are only triggered when the trend is considered "bullish" (both EMAs above the 50 EMA) and sell signals when the trend is "bearish" (both EMAs below the 50 EMA).
You can set up alerts for both buy and sell conditions using the alertcondition() function.
Let me know if you need further adjustments!
NOTE :- Applicable only for banknifty
Multi-Timeframe ADX-deepak chaturvediYou can monitor 3 different adx of 3 different time frames getting idea of mid term long term and current period trend
enjoy
SAVE ORDER'S STRATEGY V - 1
This Strategy is Using Save Order's Instate of Stop Loss to Profit of the Assets
in this case bitcoin
There is no stop loss
What is Save Order ?
SAVE ORDER IS WHEN IS IN LONG POSITION LIMIT SAVE ORDERS ARE PLACED BELOW -
THE LONG POSITION ON SET DISTANCE TO LOWER THE AVERAGE PRICE OF ALL POSITIONS
WHEN THE ASSET PRICE GO UP LIKE BITCOIN THIS STRATEGY WILL TAKE PROFIT ON -
AVERAGE PRICE FOR ALL ORDER'S
TAKE PROFIT IS TRIALING OR AVERAGE PRICE + TAKE PROFIT %
IF % TRIALING IS USE - AND THE PRACE IS >= TO AVERAGE PRICE + TAKE PROFIT % -
IN REAL TIME THE % TRAILING WILL WORK
UNFORTUNATELY ON BACK TESTING IS NOT REALISTIC
GETTING LONG IS CROSSUNDER FAST HMA - SLOW HMA - THE LENGTHS' CAN BE CHANGE
ALL THE DISTANCE IS DETERMINED BY MAIN SMOOTHED DYNAMIC MA
ONE'S IT GET ON THE FIRST POSITION THE LIMIT ORDER'S ARE SET STATICALLY -
and plot 1 by one
The SUM in Cash for Base Order and All Save orders can be Adjusted
The Distance of the Save orders can be Adjusted
Fast and Slow HMA are plotted
Take Profit and Average Price of the position are plotted
Volume Weighted Average Price - CoinruleVWAP with additional Anchor Periods as supported on Coinrule.
Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets.
Key Features:
🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision.
🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme.
📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points.
📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements.
⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance.
How to Use:
Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style.
Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes.
Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution.
How It Works:
The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
Pin Bar Signal with SMA and Bollinger Bands FilterИндикатор выдаёт сигнал на вход в сделку, если появляется пин-бар. В зависимости от настроек, это будет бычий пин-бар от нижней границы полос Боллинджера или медвежий пин-бар - от верхней. Если вы выберете фильтр по SMA, то это будет бычий пин-бар, когда график над линией SMA, и медвежий пин-бар - под линией SMA. В настройках можно включить оба способа фильтрации или отдельно каждый.
Особенности индикатора:
1. Определяет пин-бары по критериям:
- Для бычьего пин-бара: нижняя тень > 2× верхней тени и тела
- Для медвежьего пин-бара: верхняя тень > 2× нижней тени и тела
2. Фильтрация:
- SMA (20 периодов по умолчанию)
- Полосы Боллинджера (20 периодов по умолчанию)
3. Настройки:
- Можно включать/выключать фильтры (SMA, полосы Боллинджера)
- Настраиваемые периоды и параметры
- Визуализация сигналов
Оптимизировано для 15M графика:
- Использует быстрые встроенные функции (ta.sma, ta.stdev)
- Минимизирует сложные вычисления
- Подходит для работы в реальном времени
Voids - Track 3yoq wIchmeyvam vIqawmo’, yuQ ghoqwI’ mIw chu’ tlhoS ngaj ‘ej qechmey le’ luyaj. Hov patlh buSmeH numbogh De’ ngaS. notlhbe’, loghDaq chaq tlhIngan po’ lo’taHvIS ’utbej
MR-AI-US30 Short-Term RSI StrategyStrategy is based on AI for short term trading less than 4 hours
it is designed for US30
No signals during news (1 hour before and 1 hour after news)
AI Signals//@version=5
indicator("AI Signals", overlay=true)
// Import external data (e.g., CSV uploaded to TradingView's server)
var data = request.security(symbol="NASDAQ:YOUR_DATA_SOURCE", timeframe="D", expression=close)
// Define buy/sell signals
buy_signal = data == 1
sell_signal = data == -1
// Plot arrows on the chart
plotshape(buy_signal, style=shape.triangleup, color=color.green, location=location.belowbar, size=size.small)
plotshape(sell_signal, style=shape.triangledown, color=color.red, location=location.abovebar, size=size.small)
Bullish Candle After 20 SMA Cross Up 200 SMA PGBullish Candle After 20 SMA Cross Up 200 SMA. Indicate whether there is a possibility of a uptrend
Candle Emotion Index (CEI) StrategyThe Candle Emotion Index (CEI) Strategy is an innovative sentiment-based trading approach designed to help traders identify and capitalize on market psychology. By analyzing candlestick patterns and combining them into a unified metric, the CEI Strategy provides clear entry and exit signals while dynamically managing risk. This strategy is ideal for traders looking to leverage market sentiment to identify high-probability trading opportunities.
How It Works
The CEI Strategy is built around three core oscillators that reflect key emotional states in the market:
Indecision Oscillator . Measures market uncertainty using patterns like Doji and Spinning Tops. High values indicate hesitation, signaling potential turning points.
Fear Oscillator . Tracks bearish sentiment through patterns like Shooting Star, Hanging Man, and Bearish Engulfing. Helps identify moments of intense selling pressure.
Greed Oscillator . Detects bullish sentiment using patterns like Marubozu, Hammer, Bullish Engulfing, and Three White Soldiers. Highlights periods of strong buying interest.
These oscillators are averaged into the Candle Emotion Index (CEI):
CEI = (Indecision + Fear + Greed) / 3
This single value quantifies overall market sentiment and drives the strategy’s trading decisions.
Key Features
Sentiment-Based Trading Signals . Long Entry: Triggered when the CEI crosses above a lower threshold (e.g., 0.1), indicating increasing bullish sentiment. Short Entry: Triggered when the CEI crosses above a higher threshold (e.g., 0.2), signaling rising bearish sentiment.
Volume Confirmation . Trades are validated only if volume exceeds a user-defined multiplier of the average volume over the lookback period. This ensures entries are backed by significant market activity.
Break-Even Recovery Mechanism . If a trade moves into a loss, the strategy attempts to recover to break-even instead of immediately exiting at a loss. This feature provides flexibility, allowing the market to recover while maintaining disciplined risk management.
Dynamic Risk Management . Maximum Holding Period: Trades are closed after a user-defined number of candles to avoid overexposure to prolonged uncertainty. Profit-Taking Conditions: Positions are exited when favorable price moves are confirmed by increased volume, locking in gains. Loss Threshold: Trades are exited early if the price moves unfavorably beyond a set percentage of the entry price, limiting potential losses.
Cooldown Period . After a trade is closed, a cooldown period prevents immediate re-entry, reducing overtrading and improving signal quality.
Why Use This Strategy?
The CEI Strategy combines advanced sentiment analysis with robust trade management, making it a powerful tool for traders seeking to understand market psychology and identify high-probability setups. Its unique features, such as the break-even recovery mechanism and volume confirmation, add an extra layer of discipline and reliability to trading decisions.
Best Practices
Combine with Other Indicators . Use trend-following tools (e.g., moving averages, ADX) and momentum oscillators (e.g., RSI, MACD) to confirm signals.
Align with Key Levels . Incorporate support and resistance levels for refined entries and exits.
Multi-Market Compatibility . Apply this strategy to forex, crypto, stocks, or any asset class with strong volume and price action.
Grid Trading with RSI and Fibonacci SLThis script implements a grid trading strategy that buys when the "AI" confidence is high and the RSI is oversold, and sells when the "AI" confidence is high and the RSI is overbought.
It uses a Fibonacci-based stop-loss and adjusts the grid levels and trade size after each trade.
The "AI" is a very simple rule-based system, not actual artificial intelligence. The script also plots the RSI, AI confidence, grid price, and stop-loss level on the chart.
It's important to thoroughly backtest and understand the risks associated with grid trading strategies before using them with real capital.
klingon Track1 - ZAsia ZLondonyoq wIchmeyvam vIqawmo’, yuQ ghoqwI’ mIw chu’ tlhoS ngaj ‘ej qechmey le’ luyaj. Hov patlh buSmeH numbogh De’ ngaS. notlhbe’, loghDaq chaq tlhIngan po’ lo’taHvIS ’utbej.
Fractal Time/Price Scaling Invariance//@version=6
indicator("Fractal Time/Price Scaling Invariance", overlay=true, shorttitle="FTSI v1.2")
// Zeitliche Oktaven-Konfiguration
inputShowTimeOctaves = input(true, "Zeit-Oktaven anzeigen")
inputBaseTime1 = input.int(8, "Basisintervall 1 (Musikalische Oktave)", minval=1)
inputBaseTime2 = input.int(12, "Basisintervall 2 (Alternative Sequenz)", minval=1)
// Preis-Fraktal-Konfiguration
inputShowPriceFractals = input(true, "Preis-Fraktale anzeigen")
inputFractalDepth = input.int(20, "Fraktal-Betrachtungstiefe", minval=5)
// 1. Zeitliche Fraktale mit skaleninvarianter Oktavstruktur
if inputShowTimeOctaves
// Musikalische Oktaven (8er-Serie)
for i = 0 to 6
timeInterval1 = inputBaseTime1 * int(math.pow(2, i))
if bar_index % timeInterval1 == 0
line.new(bar_index, low - syminfo.mintick, bar_index, high + syminfo.mintick, color=color.new(color.blue, 70), width=2)
// Alternative Sequenz (12er-Serie)
for j = 0 to 6
timeInterval2 = inputBaseTime2 * int(math.pow(3, j))
if bar_index % timeInterval2 == 0
line.new(bar_index, low - syminfo.mintick, bar_index, high + syminfo.mintick, color=color.new(color.purple, 70), width=2)
// 2. Korrigierte Preis-Fraktal-Erkennung
var fractalHighArray = array.new_line()
var fractalLowArray = array.new_line()
if inputShowPriceFractals
// Fractal Detection (korrekte v6-Syntax)
isFractalHigh = high == ta.highest(high, 5)
isFractalLow = low == ta.lowest(low, 5)
// Zeichne dynamische Fraktal-Linien
if isFractalHigh
line.new(bar_index , high , bar_index + inputFractalDepth, high , color=color.new(color.red, 80), style=line.style_dotted)
if isFractalLow
line.new(bar_index , low , bar_index + inputFractalDepth, low , color=color.new(color.green, 80), style=line.style_dotted)
// Array-Bereinigung
if array.size(fractalHighArray) > 50
array.remove(fractalHighArray, 0)
if array.size(fractalLowArray) > 50
array.remove(fractalLowArray, 0)
// 3. Dynamische Übergangszonen (Hesitationsbereiche)
transitionZone = ta.atr(14) * 2
upperZone = close + transitionZone
lowerZone = close - transitionZone
plot(upperZone, "Upper Transition", color.new(color.orange, 50), 2)
plot(lowerZone, "Lower Transition", color.new(color.orange, 50), 2)
// 4. Skaleninvariante Alarmierung
alertcondition(ta.crossover(close, upperZone), "Breakout nach oben", "Potenzielle Aufwärtsbewegung!")
alertcondition(ta.crossunder(close, lowerZone), "Breakout nach unten", "Potenzielle Abwärtsbewegung!")
EMA & SMA by TTC1. EMA 9, 15, 21:
Short-term trends: These EMAs are typically used for analyzing short-term price movements and finding quick trend reversals.
Use cases:
EMA 9: Reacts quickly to price changes and is often used as a trigger line for entry or exit.
EMA 15 and EMA 21: Offer slightly less sensitivity, reducing false signals compared to EMA 9.
2. 200 EMA and 200 SMA:
Long-term trend indicators: These averages are widely used to identify overall market direction.
Differences:
200 EMA: Puts more weight on recent prices, making it more responsive to recent market movements.
200 SMA: Gives equal weight to all prices in the 200-period, showing a smoother long-term trend.
Use cases:
Price above 200 EMA/SMA: Bullish trend.
Price below 200 EMA/SMA: Bearish trend.
Both averages act as key support/resistance levels.
Strategies Combining These Averages:
Trend Confirmation:
If EMAs (9, 15, 21) are aligned above the 200 EMA/SMA, it confirms a strong bullish trend.
If aligned below the 200 EMA/SMA, it confirms a strong bearish trend.
Crossover Signals:
When EMA 9 crosses above EMA 21: Potential buy signal.
When EMA 9 crosses below EMA 21: Potential sell signal.
Price crossing the 200 EMA/SMA can signal long-term trend shifts.
Dynamic Support/Resistance:
Use the EMAs (especially 9 and 21) as dynamic support/resistance for trailing stop-losses in trending markets.
The 200 EMA/SMA serves as a critical level where price often reacts significantly.
EMA/SMA 9/20/50/200 + TrailStop4 wichtige EMA/SMA und der ATR TrailStop in einem Indikator zusammengefasst.
Der ATR Trailing Stops Indikator ist eine Kombination aus der ATR (Average True Range) und einem Trailing Stop. Die Average True Range ist eine Volatilitätsmessung und kann entweder über 14 Tage oder 21 Tage eingestellt werden.
D-LEVELS **FUTURECODE**The D-LEVELS indicator helps traders identify key price levels based on high-volume nodes and their relative positions to the current price. It visually displays these dynamic levels on the chart, offering insights into potential support, resistance, or zones of interest for trading decisions.
Key Features for Traders:
Dynamic Volume Nodes: Highlights high-volume price levels across different lookback periods, which can act as support or resistance.
Custom Alerts: Warns traders when price is within a specified percentage range of these levels.
Visual Cues: Uses labels and lines with customizable colors and widths for better chart clarity.
Table Display: Summarizes volume node price levels and their relative percentages for quick reference.
Customization: Flexible input options for text size, colors, and display settings to adapt to individual trading styles.
Use Case:
Traders can incorporate this indicator into their strategy to identify high-probability zones for entries, exits, or trade management by observing the interaction of price with these volume-based levels.
