Schoute Support Resistance DiagonalThis Pine Script indicator dynamically identifies and plots support and resistance levels on a TradingView chart. It adjusts its calculations based on the selected timeframe, ensuring relevance across various trading periods. The script detects pivot highs and lows over a user-defined lookback period to determine these key levels. Once identified, it draws horizontal lines at these support and resistance points, extending them into the future to assist traders in visualizing potential price reaction zones. Customization options include setting the sensitivity of pivot detection, the number of historical bars analyzed, and the appearance of the lines, allowing traders to tailor the indicator to their specific analysis needs.
Indicateurs et stratégies
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
Quad Rotation - 4 Stochastics Overlay with ABCD Detection"Quad Rotation - 4 Stochastics Overlay with ABCD Detection" is a momentum indicator combining four separate Stochastics and an ABCD pattern detection system.
Each Stochastic uses different parameter settings to capture potential rotation points in market momentum.
When three or more (this number is user customizable) of these Stochastics simultaneously slope downward above the 80 level (or slope upward below the 20 level), the chart background highlights in red (bearish) or green (bullish), indicating a multi-Stochastic momentum signal.
Additionally, the script tracks Stochastic #4 to detect an ABCD pattern:
Long Pattern (A-B) triggers if Stochastic #4 remains above 90 for a specified number of bars (abBars).
Short Pattern (C-D) triggers if Stochastic #4 remains below 10 for a specified number of bars (cdBars).
Visual markers (green X for long setups, red X for short setups) appear on the chart once these conditions are met. Users can enable alerts to receive real-time notifications whenever momentum signals or ABCD patterns occur.
This combination of multi-Stochastic momentum and ABCD detection helps traders gauge potential trend exhaustion and reversal points with greater confidence.
Engulfing Candles Strategy by ardhankurniawanThis strategy is based on the Engulfing Candlestick pattern and incorporates a Risk-Reward ratio of 1:2. It utilizes two primary indicators:
1. SMA 200 (200-period Simple Moving Average): Used to identify the overall trend, with buy signals occurring above the SMA and sell signals below it.
2. Bollinger Bands: Provides a volatility-based range for price action. Buy signals occur when the price is above both the SMA 200 and the middle Bollinger Band, while sell signals occur when the price is below both.
The strategy executes a long position (buy) when a Bullish Engulfing candle pattern forms above the SMA 200 and the middle Bollinger Band, and it exits the position using a stop loss at the low of the Bullish Engulfing candle and a take profit at a 1:2 risk-reward ratio. Similarly, a short position (sell) is initiated when a Bearish Engulfing pattern appears below the SMA 200 and the middle Bollinger Band, with the stop loss placed at the high of the Bearish Engulfing candle and a take profit at the same 1:2 risk-reward ratio.
The strategy is designed for trend-following trades with clear entry and exit points based on candlestick patterns and key indicators.
Disclaimer:
This trading strategy is for research purposes only and should not be considered as financial or investment advice. The use of this strategy involves risk, and past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making any investment decisions. Trading involves significant risk, and you could lose more than your initial investment. By using this strategy, you agree to take full responsibility for any trades executed and the associated risks.
Supply and Demand Zonessupply and demand zones backed by AI, i created this indicator because i couldnt find anything i liked so i made my own, this indicator shows only valid supply and demand zones
IFR2 e Cruzamento de Média v1.4 podendo selecionar uma.Strategy for IFR2 and Moving Average crossovers
Strategy for backtesting IFR2 or moving average crossovers
At the exit of the trade, a box appears stating: the reason for the exit:
Green for Take Profit (TP)
Red for Stop Loss (ST)
BLUE for the number of IFR2 candles reached (CD)
PURPLE for Crossing Averages (CZ)
in this box you can also enter the number of tkts and the percentage of the trade taken and the trade number TR = XX
For IFR trades, you can select the IFR2 PERIOD and level and the number of candles to close the trade if it is not closed by TP or LOSS.
When you select the moving average crossover entry, you can choose the period of the fast average and the slow average, in both cases you can select a mm as a filter for the trade entry and the period of this mm.
You can also choose a percentage for TAke Profit and Sop Loss.
We can also select a date to start the Back Test and an end date.
Translated with www.DeepL.com (free version)
Explicação em português:
Estratégia para IFR2 e cruzamento de Media Movel
Estratégia para backTest de IFR2 ou Cruzamento da média Movel
Na saída da operação mostra uma caixa informando: o motivo da saída:
Verde para Take Profit (TP)
Vermelho para Stop Loss (ST)
AZUL para número de candles atingido IFR2 (CD)
Roxo para Cruzamento de Médias (CZ)
nesta caixa ainda informa o numero de tkts e o porcentual da operação realizada e o numero do trade TR = XX
Nas operações por IFR podemos selecionar o PERIODO do e o nivel do IFR2 e a quantidade de candles para fechar a operação se não for fechado por TP ou LOSS.
Quando selecionado a entrada por cruzamento de media movel, podemos escolher o período da media rápida e da média lenta, em ambos os casos podemos selecionar uma mm como filtro para entrada da operação e o período desta mm.
Podemos ainda escolher um porcentual para TAke Profit e Sop Loss.
E ainda selecionar uma data para iniciar o Back Test e uma data final.
Multi Stochastic AlertHello Everyone,
I have created a Multi Stochastic Alert based on Scalping Strategy
The Strategy uses below 4 Stochastic indicator:
1. Stochastic (9,3)
2. Stochastic (14,3)
3. Stochastic (40,4)
4. Stochastic (60,10)
Trade entry become active when all of these goes below 20 or above 80, In this indicator you don't need to use all 4, this will show red and green background whenever all of them goes below 20 or above 80.
As shown in picture below, it works better when script is making a channel, Our indicator shows green or red signal, we wait for RSI Divergence and we enter. We book when blue line (9,3) goes above 80, as shown by arrow, and trail rest at breakeven or your own trailing method
Same Situation shown for Short side. We book 50% when Blue line (9,3) Goes below 20 and trail rest at breakeven or your own trailing method
Happy trading, Let me know if any improvements required.
Triple Sync Logic (Dynamic)The Triple Sync Logic Indicator is a powerful tool designed to help traders identify high-probability entry points in the market by combining three core technical indicators: the ADX (Average Directional Index), Stochastic RSI, and CCI (Commodity Channel Index). This indicator smoothly integrates these key elements into a single, dynamic "snake line" that moves in a snake-like fashion, providing real-time signals for potential long and short trades.
Key Features:
Dynamic Overbought and Oversold Levels: The indicator dynamically adjusts the overbought (red) and oversold (green) levels based on the highest and lowest values of the snake line over a rolling window. This ensures the levels are always relevant to current market conditions, making it adaptable to different timeframes and chart adjustments.
Buy and Sell Zones: The snake line interacts with the overbought and oversold levels, providing clear signals for entry points. When the snake line crosses the oversold level, it's a signal for a potential long position, while a cross above the overbought level signals a possible short entry.
Smooth, Visual Representation: The snake line moves like a fluid, oscillating line, with background color changes to visually highlight potential market zones. Green areas suggest potential buying opportunities, and red areas indicate potential selling zones.
Whether you're trading forex, stocks, or crypto, the Triple Sync Logic Indicator helps you stay on top of market trends by using a robust combination of technical indicators, without overwhelming you with unnecessary details.
SASDv2rSensitive Altcoin Season Detector V2
This Pine Script™ code, titled "SASDv2r" (Sensitive Altcoin Season Detector version 2 revised), is designed for cryptocurrency trading analysis on the TradingView platform and tailored for those interested in tracking when altcoins might be outperforming Bitcoin, potentially indicating a market shift towards altcoins.
Feel free to use and modify. If you made it better, please let me know. Intention was to help the community with a tool for retail traders have no access to advanced, MV indicators. Solution uses classic TA only.
Use it witl TOTAL3/BTC indicator.
Please check: it gave signal just before last alt season % rose more than 250%.
Market Cap Data Fetching: The script fetches market capitalization data for Bitcoin, Ethereum, and all other altcoins (excluding Bitcoin and Ethereum) using request.security function.
Altcoin to Bitcoin Ratio: It calculates the ratio of total market cap of altcoins to Bitcoin's market cap (altToBtcRatio), which is central to identifying an "altcoin season."
Moving Averages: Several moving averages are computed for different time frames (50-day SMA, 200-day SMA, 20-day SMA, and 10-day EMA) to analyze trends in the altcoin to Bitcoin ratio.
Momentum Indicators: The script uses RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) to gauge momentum and potential reversal points in the market.
Custom Indicators: It includes Volume Weighted Moving Average (VWMA) and a custom momentum indicator (altMomentum and altMomentumAvg) to provide additional insights into market movements.
Volatility Measurement: Bollinger Bands are calculated to assess volatility in the altcoin to Bitcoin ratio, which helps identify periods of high or low market activity.
Visual Analysis: Various plots are added to the chart for visual interpretation, including the altcoin to Bitcoin ratio, different moving averages, and Bollinger Bands.
Alt Season Detection: The script defines conditions for detecting when an "altcoin season" might be starting, based on crossovers of moving averages, RSI levels, MACD signals, and other custom criteria.
Performance Tracking: After signaling an alt season, the script evaluates the performance over the next 30 days by checking if there's been an increase in the altcoin to Bitcoin ratio, adding labels for positive or negative trends.(this one is in progress). Logic still gives false signals and aim is to identify failed signals.
Visual Signals: Labels are placed on the chart to visually indicate the beginning of a potential alt season or the performance outcome after a signal, aiding traders in making informed decisions.
TB: Main-indicators🔥 Этот индикатор – мощный инструмент для трейдинга!
✔ Определяет тренд с помощью Supertrend и EMA.
✔ Автоматически строит уровни поддержки/сопротивления.
✔ Дает чёткие сигналы входа (LONG/SHORT).
🎯 Используй стратегию с мани-менеджментом и стоп-лоссами для максимальной эффективности! 🚀📊
Elisathe indicator uses Bollinger Bands with various moving average types. The strategy rules are to go long when the price closes above the upper band and close the long when it closes below the lower band. So, the entry and exit conditions are based on the close relative to the bands.
POC, VAL y VAH de la Semana Pasada-Vico01Genera el POC,VAL Y VAH de la semana pasada para tenerlos en el grafico sin necesidad de estar actualizando los pocs a
Support and Resistance//@version=5
indicator("Fair Value Gaps and Order Blocks", overlay=true)
// Input parameters
fvgLookback = input.int(3, title="FVG Lookback (Candles)", minval=1)
obLookback = input.int(5, title="Order Block Lookback (Candles)", minval=1)
fvgColor = input.color(color.new(color.teal, 80), title="FVG Color")
obBullishColor = input.color(color.new(color.green, 80), title="Bullish OB Color")
obBearishColor = input.color(color.new(color.red, 80), title="Bearish OB Color")
// Fair Value Gap (FVG) Detection
fvgUp = (high < low ) and (low < low ) // Bullish FVG condition
fvgDown = (low > high ) and (high > high ) // Bearish FVG condition
// Plot FVG
if (fvgUp)
label.new(bar_index , na, text="FVG", style=label.style_circle, color=fvgColor, textcolor=color.white, size=size.small)
if (fvgDown)
label.new(bar_index , na, text="FVG", style=label.style_circle, color=fvgColor, textcolor=color.white, size=size.small)
// Order Block (OB) Detection
isBullishOB = (close > open ) and (close > close ) and (open < close ) // Bullish OB condition
isBearishOB = (close < open ) and (close < close ) and (open > close ) // Bearish OB condition
// Plot Order Blocks
if (isBullishOB)
box.new(left=bar_index , right=bar_index, top=high , bottom=low , bgcolor=obBullishColor, border_color=color.green, border_width=1)
if (isBearishOB)
box.new(left=bar_index , right=bar_index, top=high , bottom=low , bgcolor=obBearishColor, border_color=color.red, border_width=1)
DOGE Trend-Following Strategy – Balanced Risk & Trend (15m)This strategy is designed to capture trends in DOGE/USDT, using a combination of moving averages and momentum indicators to filter high-quality trades. It is optimized for balanced risk management with a focus on reducing drawdowns through conservative position sizing.
How the Strategy Works
Exponential Moving Averages (EMAs):
A fast EMA (default: 50) tracks short-term price momentum.
A slow EMA (default: 200) represents the broader trend.
Trades are executed when these EMAs cross, signaling shifts in market direction.
ADX (Average Directional Index):
ADX (default length: 14) confirms trend strength.
The strategy only enters trades when ADX is above 25, indicating a strong trend. This helps avoid low-confidence trades during sideways markets.
RSI (Relative Strength Index):
RSI (default: 14) helps avoid trades during overbought or oversold conditions.
Long trades are exited when RSI crosses above 70, while short trades are closed when RSI drops below 30.
Multi-Timeframe Filter:
To further validate trends, 4-hour EMAs are integrated into the strategy, keeping entries in sync with larger market movements.
Performance Highlights
Net Profit: +$2,438.85 USDT (0.24% return over testing period)
Profit Factor: 1.136 – indicating more profit than loss overall.
Closed Trades: 35
Winning Trades: 62.86%
Max Drawdown: 0.58% – representing the largest equity decrease during the test period.
Trade Duration: On average, trades last about 40 bars (10 hours on a 15-minute chart).
Trade Setup
Long Entry:
A long position is taken when:
The 50 EMA crosses above the 200 EMA,
The ADX is above 25, and
RSI is above 30 (indicating healthy momentum).
The trade is exited when RSI hits 70 or price reaches a dynamic profit or stop-loss level.
Short Entry:
A short position is entered when:
The 50 EMA crosses below the 200 EMA,
The ADX confirms trend strength above 25, and
RSI is below 70 (avoiding oversold conditions).
The short position closes if RSI drops to 30 or stop-loss/take-profit criteria are met.
Strategy Parameters
Fast EMA Length: Default set to 50.
Slow EMA Length: Default set to 200.
ADX Length: Default set to 14 with a threshold of 25 for filtering trends.
RSI: Length is 14 with overbought/oversold thresholds at 70 and 30.
Dynamic Take Profit & Stop Loss: Configurable, allowing for risk customization.
Backtesting Conditions
Account Size: $100,000
Position Size: 2% of equity per trade – within the recommended 1-5% risk management framework.
Slippage and Commission: Set to realistic values to improve accuracy.
The backtest ran on DOGE/USDT over a multi-month period, showing reliable performance on the 15-minute timeframe. While past performance is not a guarantee of future success, the results suggest this approach may offer a robust framework for trend-following traders.
Strategy Notes
This updated version prioritizes sustainability by ensuring trades risk no more than 2% of equity. The combination of multiple indicators helps avoid whipsaws and improves long-term profitability. Always test strategies with your own data and market conditions before live trading.
8 PM IST Breakout StrategyThis strategy works on US markets (US30,S&P500),forex(EUR/USD,GBP/USD,USD/JPY) AND GOLD as well no need to sit for hours and do remeber to exit the trade on or before 12AM IST as volumes decreas and book whatever you get
Keep practicing and connect with me if you have any new ideas.
KEEP HUSTLING KEEP GROWING UNTILL YOU ARE THE RICHEST OF YOUR BLOODLINE
B15-Minute Day Trading Strategy The goal is to capitalize on short-term price movements. Below is a basic 15-minute day trading strategy that can be adapted to stocks, forex, or other liquid markets. This strategy is based on technical analysis and requires discipline, risk management, and practice.
روند چند تایمفریمی [کمتر از ۱ ساعت] حمید عمرانی فردروند حرکتی در تایم فریم های مختلف رو بر اساس مووینگ اوریج شناسایی میکنه، رنگ سبز به معنی صعود، قرمز نزول و خاکستری روندی خنثی را نمایش می دهد.
Emas TriggerHere's the description for your multi-timeframe EMA indicator:
This script is a custom indicator for TradingView that plots four different Exponential Moving Averages (EMAs) on the chart, each calculated from different timeframes: Hourly, Daily, Weekly, and Monthly. These EMAs help identify trends across multiple time horizons, making it easier to spot potential support and resistance levels.
Key Features:
- Hourly EMA (calculated using a 1-hour timeframe) - Shows short-term price movements and immediate trend direction
- Daily EMA (calculated using a daily timeframe) - Helps identify medium-term trends and potential support/resistance levels
- Weekly EMA (calculated using a weekly timeframe) - Provides insight into broader market trends and major support/resistance zones
- Monthly EMA (calculated using a monthly timeframe) - Highlights long-term market direction and significant price levels
Each EMA is displayed using a distinct color and plotted with a step line style for clear visibility:
- Hourly EMA: Green
- Daily EMA: Blue
- Weekly EMA: Dark Blue (#3127e3)
- Monthly EMA: Pink (#f352ff)
The indicator includes customizable input parameters for each timeframe's EMA length, allowing traders to adjust the sensitivity of each moving average according to their trading strategy. This versatility makes it useful for both swing traders and position traders who need to analyze market structure across multiple timeframes.
Linda Raschke's MACD V2.0
This script is based on Linda Raschke's interpretation of the MACD (Moving Average Convergence Divergence) indicator, designed to provide a refined view of market momentum and trend reversals.
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Linda Raschke's MACD - Enhanced Trading Indicator
This custom MACD indicator, inspired by Linda Raschke's approach, refines the traditional MACD by offering a more responsive and adaptable view of momentum shifts.
Key Features :
As seen in image above
- Fast & Slow Length : Adjust the periods for the fast and slow moving averages to suit your trading style.
- Source : Choose the data source for calculation (typically closing price).
- Signal Smoothing : Fine-tune the smoothness of the signal line with adjustable settings.
- Customizable MA Types : Select between Simple Moving Average (SMA) or Exponential Moving Average (EMA) for both the oscillator and signal line for more flexibility.
The script displays:
- The MACD line : The difference between the fast and slow moving averages, indicating momentum.
- The Signal line : A smoothed version of the MACD that highlights trend changes.
- The Histogram : Shows the difference between the MACD and Signal line, visualizing the strength of the trend and potential reversals.
Alerts :
- Alerts trigger when the MACD histogram shifts from rising to falling or vice versa, providing early signals of potential momentum changes.
Zero Line : The zero line helps identify the current market trend (above the line is bullish, below is bearish).
This indicator is perfect for traders looking for advanced momentum signals and precise entry/exit points, with options to tweak the moving averages to better match their strategy.
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Key Differences Between Linda Raschke’s MACD and the Traditional MACD :
1. Different Fast and Slow Lengths
Standard MACD : Typically uses a 12-period fast EMA and a 26-period slow EMA for calculating the MACD line.
Linda Raschke’s MACD : The fast and slow lengths are customizable and are often much shorter. In this script, the default values are 3 for the fast length and 10 for the slow length. These shorter periods help the indicator react faster to price changes and better capture momentum shifts in volatile markets.
2. Faster Response to Momentum Shifts
By shortening the periods for the moving averages and offering customization of the smoothing methods, Linda Raschke’s MACD tends to react more quickly to market changes. This makes it better suited for shorter-term traders or those looking to catch early momentum shifts.
The standard MACD, on the other hand, may be slower to react due to its longer default settings, making it more appropriate for longer-term trend-following strategies.
5. Histogram Coloring and Visual Representation
Standard MACD : The histogram simply shows the difference between the MACD line and the signal line, and the color usually remains constant unless specifically customized.
Linda Raschke’s MACD : The histogram in this script changes color based on whether the histogram is rising or falling compared to the previous bar, making it easier to spot momentum shifts. For example:
Green if the histogram is rising.
Red if the histogram is falling.
Lighter shades if the histogram is in transition, providing a more intuitive view of the market's strength and direction.
6. Alert Conditions
Linda Raschke’s MACD : This script adds specific alert conditions when the MACD histogram transitions from rising to falling (or vice versa), offering traders an early warning signal for potential trend reversals or momentum shifts.
7. Shorter Timeframes
Linda Raschke’s MACD : The shorter settings make it more suited for intraday trading or shorter timeframes, helping to catch early market movements. It can be used more effectively for day traders or scalpers.
Standard MACD : Better suited for longer timeframes and trend-following strategies, as it’s less sensitive to short-term noise.
Summary: Best Timeframes
Ideal Timeframes : 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour charts.
Possible for Swing Trading: Daily charts, but with caution due to quicker signals.
If you're using it for day trading or scalping, I’d suggest focusing on intraday charts (1-minute to 30-minute), and adjusting the signal smoothing and lengths to fine-tune how sensitive the indicator is to price action.
Suggested Values for 1-Minute Chart:
1. Signal Line Smoothing (Length of Signal Line):
Range: The standard setting in your script is 16.
Adjustment for 1-Minute Chart:
You may want to decrease this value for faster responsiveness.
Try 8 to 12 for a more reactive signal line. A lower value (like 8) will make the signal line more responsive to price changes, which is useful for short-term momentum.
Test the range of 10 to 12 if you want to smooth out some noise but still react fairly quickly.
2. Fast and Slow Length (for MACD Oscillator):
The fast and slow moving averages also play a role in the indicator’s speed. For 1-minute charts, you'll want these to be shorter to catch fast market movements.
Fast Length: A value of 3 is good for a responsive MACD on a 1-minute chart. It reacts quickly to recent price changes.
Slow Length: You might want to adjust this slightly to around 7 to 10. A value of 10 will allow the slow line to smooth out more, reducing excessive noise.
Interactive CAGR CalculatorCalculate CAGR between two dates. Default start and end dates are set but can be edited in settings or can interactively move the vertical lines that appear when you click on the displayed CAGR text
