EMA with Supply and Demand Zones
The EMA with Supply and Demand Strategy is a trend-following trading approach that integrates Exponential Moving Averages (EMA) with supply and demand zones to identify potential entry and exit points. Below is a detailed description of its components and logic:
Key Components of the Strategy
1. EMA (Exponential Moving Average)
The EMA is used as a trend filter:
Bullish Trend: Price is above the EMA.
Bearish Trend: Price is below the EMA.
The EMA ensures that trades align with the overall market trend, reducing counter-trend risks.
2. Supply and Demand Zones
Demand Zone:
Represents areas where the price historically found support (buyers dominated).
Calculated using the lowest low over a specified lookback period.
Used for identifying potential long entry points.
Supply Zone:
Represents areas where the price historically faced resistance (sellers dominated).
Calculated using the highest high over a specified lookback period.
Used for identifying potential short entry points.
3. Trade Conditions
Long Trade:
Triggered when:
The price is above the EMA (bullish trend).
The low of the current candle touches or penetrates the most recent demand zone.
Short Trade:
Triggered when:
The price is below the EMA (bearish trend).
The high of the current candle touches or penetrates the most recent supply zone.
4. Exit Conditions
Long Exit:
Exit the trade when the price closes below the EMA, indicating a potential trend reversal.
Short Exit:
Exit the trade when the price closes above the EMA, signaling a potential upward reversal.
Visual Representation
EMA: A blue line plotted on the chart to show the trend.
Supply Zones: Red horizontal lines representing potential resistance levels.
Demand Zones: Green horizontal lines representing potential support levels.
These zones dynamically adjust to reflect the most recent 3 levels.
How the Strategy Works
Trend Identification:
The EMA determines the direction of the trade:
Look for long trades only in a bullish trend (price above EMA).
Look for short trades only in a bearish trend (price below EMA).
Entry Points:
Wait for price interaction with a supply or demand zone:
If the price touches a demand zone during a bullish trend, initiate a long trade.
If the price touches a supply zone during a bearish trend, initiate a short trade.
Risk Management:
The strategy exits trades if the price moves against the trend (crosses the EMA).
This ensures minimal exposure during adverse market movements.
Benefits of the Strategy
Trend Alignment:
Reduces counter-trend trades, improving the win rate.
Clear Entry and Exit Rules:
Combines price action (zones) with a reliable trend filter (EMA).
Dynamic Levels:
The supply and demand zones adapt to changing market conditions.
Customization Options
EMA Length:
Adjust to suit different timeframes or market conditions (e.g., 20 for faster trends, 50 for slower trends).
Lookback Period:
Fine-tune to capture broader or narrower supply and demand zones.
Risk/Reward Preferences:
Pair the strategy with stop-loss and take-profit levels for enhanced control.
This strategy is ideal for traders looking for a structured approach to identify high-probability trades while aligning with the prevailing trend. Backtest and optimize parameters based on your trading style and the specific asset you're tradin
Indicators and strategies
Custom Levels with A and B WITH RANGEEnter two values A and B.
draws levels at A and B, and then calculates Range between A and B.
draws 3 levels above A, and 3 levels above B using Range
NUTJP CDC ActionZone 20241. Core Components of the Strategy
• Fast EMA and Slow EMA:
• The Fast EMA (shorter period) is more reactive to recent price changes.
• The Slow EMA (longer period) reacts slower and provides a smoother view of the overall trend.
• Relationship Between Fast EMA and Slow EMA:
• When the Fast EMA is above the Slow EMA, the market is considered Bullish.
• When the Fast EMA is below the Slow EMA, the market is considered Bearish.
2. Zones Based on Price and EMAs
The strategy defines six zones based on the position of the price, Fast EMA, and Slow EMA:
1. Green Zone (Buy):
• Bullish trend (Fast EMA > Slow EMA)
• Price is above the Fast EMA.
• Indicates a strong uptrend and suggests buying.
2. Blue and Light Blue Zones (Pre-Buy):
• Price is above the Fast EMA but below or near the Slow EMA.
• Represents potential bullish signals but not strong enough to trigger a buy.
3. Red Zone (Sell):
• Bearish trend (Fast EMA < Slow EMA)
• Price is below the Fast EMA.
• Indicates a strong downtrend and suggests selling or avoiding long trades.
4. Orange and Yellow Zones (Pre-Sell):
• Price is below the Fast EMA but above or near the Slow EMA.
• Represents potential bearish signals but not strong enough to trigger a sell.
These zones help traders visualize the market conditions and determine whether to buy, hold, or sell.
3. Buy and Sell Conditions
• Buy Condition:
A buy signal is triggered when:
• The price enters the Green Zone (Bullish trend and price > Fast EMA).
• It’s the first green candle after a non-green candle.
• Sell Condition:
A sell signal is triggered when:
• The price enters the Red Zone (Bearish trend and price < Fast EMA).
• It’s the first red candle after a non-red candle.
4. Trade Execution Logic
• Buy:
The strategy enters a long position (buy) when the above buy condition is met.
• Sell:
The strategy exits the long position when the sell condition is met.
Note: It doesn’t support short trades, meaning it doesn’t enter sell positions.
5. Momentum-Based Signals (Optional)
The indicator also includes momentum signals using Stochastic RSI to provide additional buy/sell signals:
• These are based on oversold and overbought levels of the Stochastic RSI.
• It filters signals depending on whether the trend is Bullish or Bearish.
6. Visual Features
The indicator is designed to make the trading zones and signals visually intuitive:
• Bar Colors:
Candlesticks are colored based on the current zone (e.g., Green for Buy, Red for Sell).
• EMA Lines:
The Fast EMA and Slow EMA are plotted, making it easy to see crossover points.
• Buy/Sell Signals:
Marked with shapes (e.g., circles) below/above bars for clarity.
7. Strategy Assumptions
• Trend-Following Nature:
This strategy assumes that trends persist. It works best in trending markets but might give false signals in ranging markets.
• Lagging Nature of EMAs:
As EMAs are lagging indicators, buy and sell signals may occur after significant moves have already begun or ended.
• Momentum Confirmation (Optional):
Adding momentum signals can help filter false signals, though it’s not part of the core logic.
8. Usage Recommendations
• Timeframes:
Works on various timeframes but may perform better on higher timeframes (e.g., 1H, Daily) to reduce noise.
• Markets:
Can be applied to stocks, forex, and cryptocurrencies.
• Backtesting and Optimization:
Before live trading, backtest the strategy with different EMA periods and other parameters to find optimal settings for your market and timeframe.
ADX Breakout Strategy█ OVERVIEW
The ADX Breakout strategy leverages the Average Directional Index (ADX) to identify and execute breakout trades within specified trading sessions. Designed for the NQ and ES 30-minute charts, this strategy aims to capture significant price movements while managing risk through predefined stop losses and trade limits.
This strategy was taken from a strategy that was posted on YouTube. I would link the video, but I believe is is "against house rules".
█ CONCEPTS
The strategy is built upon the following key concepts:
ADX Indicator: Utilizes the ADX to gauge the strength of a trend. Trades are initiated when the ADX value is below a certain threshold, indicating potential for trend development.
Trade Session Management: Limits trading to specific hours to align with optimal market activity periods.
Risk Management: Implements a fixed dollar stop loss and restricts the number of trades per session to control exposure.
█ FEATURES
Customizable Stop Loss: Set your preferred stop loss amount to manage risk effectively.
Trade Session Configuration: Define the trading hours to focus on the most active market periods.
Entry Conditions: Enter long positions when the price breaks above the highest close in the lookback window and the ADX indicates potential trend strength.
Trade Limits: Restrict the number of trades per session to maintain disciplined trading.
Automated Exit: Automatically closes all positions at the end of the trading session to avoid overnight risk.
█ HOW TO USE
Configure Inputs :
Stop Loss ($): Set the maximum loss per trade.
Trade Session: Define the active trading hours.
Highest Lookback Window: Specify the number of bars to consider for the highest close.
Apply the Strategy :
Add the ADX Breakout strategy to your chart on TradingView.
Ensure you are using a 30-minute timeframe for optimal performance.
█ LIMITATIONS
Market Conditions: The strategy is optimized for trending markets and may underperform in sideways or highly volatile conditions.
Timeframe Specific: Designed specifically for 30-minute charts; performance may vary on different timeframes.
Single Asset Focus: Primarily tested on NQ and ES instruments; effectiveness on other symbols is not guaranteed.
█ DISCLAIMER
This ADX Breakout strategy is provided for educational and informational purposes only. It is not financial advice and should not be construed as such. Trading involves significant risk, and you may incur substantial losses. Always perform your own analysis and consider your financial situation before using this or any other trading strategy. The source material for this strategy is publicly available in the comments at the beginning of the code script. This strategy has been published openly for anyone to review and verify its methodology and performance.
Dual Timeframe Stochastic Momentum Index w/buy sell signalsThis indicator combines momentum analysis across two timeframes to identify high-probability trading opportunities. It plots the Stochastic Momentum Index (SMI) for both the chart timeframe and a higher timeframe (default 10 minutes) to help traders align with the broader market trend.
Key Features
Displays SMI and its EMA for both timeframes
Background shading indicates favorable trading conditions
Signal dots mark potential entry points
Customizable parameters for fine-tuning
Signals Explained
Bullish Signals (Green Dots)
Appear when the chart timeframe SMI crosses above its EMA
Only trigger during periods when the higher timeframe shows:
SMI is above its EMA (increasing momentum)
SMI is between -40 and +40 (not overbought/oversold)
Bearish Signals (Red Dots)
Appear when the chart timeframe SMI crosses below its EMA
Only trigger during periods when the higher timeframe shows:
SMI is below its EMA (decreasing momentum)
SMI is between -40 and +40 (not overbought/oversold)
Settings
%K Length: Lookback period for SMI calculation (default: 10)
%D Length: Smoothing period for primary calculation (default: 3)
EMA Length: Smoothing period for signal line (default: 3)
Alternative Timeframe: Higher timeframe for trend analysis (default: 10 minutes)
Best Practices
Use higher timeframe signals to determine market bias
Wait for signal dots in the chart timeframe for entry timing
Avoid trades when higher timeframe SMI is in extreme zones (above 40 or below -40)
Consider additional confirmation from price action or other indicators
Note: This indicator combines trend and momentum analysis but should be used as part of a complete trading strategy that includes proper risk management.
SMA200 & RSI [Tarun]The SMA200 & RSI Signal Indicator is a powerful tool designed for traders who want to identify potential entry zones based on a combination of price action and momentum. This indicator combines two essential trading components:
SMA200 (Simple Moving Average): A widely used trend-following tool that highlights the overall direction of the market.
RSI (Relative Strength Index): A momentum oscillator that measures the speed and change of price movements.
How It Works:
Price Above SMA200: Indicates bullish market conditions.
RSI Between 40 and 20: Suggests that the asset is in a potential oversold or pullback zone within a bullish trend.
When both conditions are met, the indicator triggers:
Background Highlight: The chart background turns green to indicate a potential signal zone.
Disclaimer:
This indicator is not a standalone trading strategy. Use it in conjunction with other analysis methods such as support and resistance, candlestick patterns, or volume analysis. Always practice proper risk management.
Z-ScoreThe z-score (also known as the standard score) measures how many standard deviations a data point is from the mean of a dataset. It helps determine whether a data point is typical or unusual compared to the dataset.
The formula for the z-score is:
z = \frac{x - \mu}{\sigma}
Where:
• x = the value being evaluated
• \mu = the mean of the dataset
• \sigma = the standard deviation of the dataset
Interpretation:
• A positive z-score indicates the data point is above the mean.
• A negative z-score indicates the data point is below the mean.
• A z-score of 0 means the data point is exactly at the mean.
Good Candles with Risk TableThis custom Pine Script indicator highlights bullish and bearish candles based on the highest and lowest close prices over the past specified number of candles (look-back period).
Bullish candles are marked with an orange color when the close is higher than the highest close from the previous candle.
Bearish candles are marked with a purple color when the close is lower than the lowest close from the previous candle.
The indicator also draws two lines for each colored candle:
Midline: A horizontal line drawn at the midpoint between the open and close of the candle, which helps visualize the candle's body.
Open line: A horizontal line drawn at the open price, offering an additional reference point for market action.
Lines are visible for the last 5 colored candles (either bullish or bearish), with old lines being removed to avoid clutter on the chart.
Additionally, the Risk Table at the top right of the chart shows the calculated units to buy for the specified risk amount (default value of $0.1), based on the distance between the candle’s close and its midpoint. This allows users to manage their risk effectively by knowing how many units they should purchase to match their desired risk level.
INTELLECT_city - US Presidential Elections Dates (USA)(EN)
It is interesting to compare Halvings Cycles and Presidential elections.
This indicator shows all presidential elections in the USA from the period 2008, and future ones to the date 2044. The indicator will automatically show all future dates of presidential elections.
--
To apply it to your chart it is very easy:
Select:
1) Exchange: BITSTAMP
2) Pair BTC \ USD (Without "T" at the end)
3) Timeframe 1 day
4) In the Browser, switch the chart to Logarithmic (on the right bottom, click the "L" button)
or on mobile, switch to "Logarithmic" we look on the chart: "Gear" - and switch to "Logarithmic"
------------------
(RU)
Интересно сопоставить Циклы Halvings и Президентские выборы.
Данный индикатор показывает все президентские выборы в США с периода 2008 года, и будущие к дате 2044 года. Индикатор будет автоматически показывать все будущие даты .
--
Что бы применить у себя на графике это очень легко:
Выберите:
1) Биржа: BITSTAMP
2) Пара BTC \ USD (Без "T" в конце)
3) Timeframe 1 дневной
4) В Браузере переключить график на Логарифмический (с право внизу кнопка "Л")
или на мобильно переключить на "Логарифмический" ищем на графике: "Шестеренку" — и переключаем на "Логарифмический"
-------------------
(DE)
Es ist interessant, die Halbierungszyklen und die Präsidentschaftswahlen zu vergleichen.
Dieser Indikator zeigt alle US-Präsidentschaftswahlen seit 2008 und zukünftige bis zum Datum 2044. Der Indikator zeigt automatisch alle zukünftigen Präsidentschaftswahltermine an.
--
Es ist sehr einfach, dies auf Ihr Diagramm anzuwenden:
Wählen:
1) Austausch: BITSTAMP
2) Paar BTC \ USD (Ohne das „T“ am Ende)
3) Zeitrahmen 1 Tag
4) Schalten Sie im Browser das Diagramm auf Logarithmisch um (die Schaltfläche „L“ unten rechts).
oder auf dem Mobilgerät auf „Logarithmisch“ umschalten, in der Grafik nach „Getriebe“ suchen – und auf „Logarithmisch“ umschalten
OrderBlocksLibrary "OrderBlocks"
This is a library I created that creates order blocks. It's originated from my indicator "Order blocks" (). It will return a Zone object that can be used to draw an order block. If you want to see how that is done you can check out my indicar that uses the same logic.
Create(settings)
Creates an order block if one is found according to the settings parameter.
Parameters:
settings (Settings) : set all values in this parameter to define the settings for the order block creation.
Returns: a Zone object if an order block is found, na otherwise
Zone
Fields:
Time (series int)
TimeClose (series int)
High (series float)
Low (series float)
ReactionLimit (series float)
TouchedZone (Zone type from mickes/Touched/14)
Type (series int)
Zones
Fields:
Index (series int)
Maximum (series int)
Zones (array)
Remove (Zone)
Settings
Fields:
TakeOut (series bool)
ReactionFactor (series float)
Type (series string)
ConsecutiveRisingOrFalling (series bool)
FairValueGap (series bool)
Trex_Style//@version=5
indicator("Multi-Timeframe ATR Summary", overlay=true) // changed to overlay=true since we only want the table
// Function to calculate ATR for a specific timeframe
calcATR(timeframe, period) =>
request.security(syminfo.tickerid, timeframe, ta.atr(period)) * 10000 // multiplied by 10000 to convert to pips
// Calculate ATR for each timeframe with its specific period
m1_atr = calcATR("1", 24)
m5_atr = calcATR("5", 24)
m15_atr = calcATR("15", 24)
h1_atr = calcATR("60", 24)
h4_atr = calcATR("240", 30)
d1_atr = calcATR("D", 22)
w1_atr = calcATR("W", 52)
mn_atr = calcATR("M", 12)
// Create a table at the bottom of the chart
var table atrTable = table.new(position.bottom_center, 8, 2, bgcolor=color.rgb(48, 48, 48, 50), frame_width=1, frame_color=color.rgb(70, 70, 70), border_width=1)
// Update table headers (timeframes)
if barstate.islast
table.cell(atrTable, 0, 0, "M1", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
table.cell(atrTable, 1, 0, "M5", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
table.cell(atrTable, 2, 0, "M15", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
table.cell(atrTable, 3, 0, "H1", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
table.cell(atrTable, 4, 0, "H4", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
table.cell(atrTable, 5, 0, "D1", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
table.cell(atrTable, 6, 0, "W1", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
table.cell(atrTable, 7, 0, "MN", bgcolor=color.rgb(89, 49, 150), text_color=color.white, text_size=size.small)
// Update ATR values - now showing as whole numbers
table.cell(atrTable, 0, 1, str.tostring(math.round(m1_atr)), text_color=color.white, text_size=size.small)
table.cell(atrTable, 1, 1, str.tostring(math.round(m5_atr)), text_color=color.white, text_size=size.small)
table.cell(atrTable, 2, 1, str.tostring(math.round(m15_atr)), text_color=color.white, text_size=size.small)
table.cell(atrTable, 3, 1, str.tostring(math.round(h1_atr)), text_color=color.white, text_size=size.small)
table.cell(atrTable, 4, 1, str.tostring(math.round(h4_atr)), text_color=color.white, text_size=size.small)
table.cell(atrTable, 5, 1, str.tostring(math.round(d1_atr)), text_color=color.white, text_size=size.small)
table.cell(atrTable, 6, 1, str.tostring(math.round(w1_atr)), text_color=color.white, text_size=size.small)
table.cell(atrTable, 7, 1, str.tostring(math.round(mn_atr)), text_color=color.white, text_size=size.small)
Marcel's Dynamic Profit / Loss Calculator for GoldOverview
This Dynamic Risk / Reward Tool for Gold is designed to help traders efficiently plan and manage their trades in the volatile gold market. This script provides a clear visualisation of trade levels (Entry, Stop Loss, Take Profit) while dynamically calculating potential profit and loss. It ensures gold traders can assess their positions with precision, saving time and improving risk management.
Key Features
1. Trade Level Visualisation:
Plots Entry (Blue), Stop Loss (Red), and Take Profit (Green) lines directly on the chart.
Helps you visualise and confirm trade setups quickly which is good for scalping and day trades.
2. Dynamic Risk and Reward Calculations:
Calculates potential profit and loss in real time based on user-defined inputs such as position size, leverage, and account equity.
Displays a summary panel showing risk/reward metrics directly on the chart.
3. Customisable Settings:
Allows you to adjust key parameters like account equity, position size, leverage, and specific price levels for Entry, Stop Loss, and Take Profit.
Defaults are dynamically generated for convenience but remain fully adjustable for flexibility.
How It Works
The script uses gold-specific conventions (e.g., 1 lot = 100 ounces, 1 pip = 0.01 price change) to calculate accurate risk and reward metrics.
It dynamically positions Stop Loss and Take Profit levels relative to the entry price, based on user-defined or default offsets.
A real-time summary panel is displayed in the bottom-right corner of the chart, showing:
Potential Profit: The monetary value if the Take Profit is hit.
Potential Lo
ss: The monetary value if the Stop Loss is hit.
How to Use It
1. Add the script to your chart on a gold trading pair (e.g., XAUUSD).
2. Input your:
Account equity.
Leverage.
Position size (in lots).
Desired En
try Price (default: current close price).
3. Adjust the Stop Loss and Take Profit levels to your strategy, or let the script use default offsets of:
500 pips below the Entry for Stop Loss.
1000 pips above the Entry for Take Profit.
4. Review the plotted levels and the summary panel to confirm your trade aligns with your risk/reward goals.
Why Use This Tool?
Clarity and Precision:
Provides clear trade visuals and financial metrics for confident decision-making.
Time-Saving:
Automates the calculations needed to evaluate trade risk and reward.
Improved Risk Management:
Ensures you never trade without knowing your exact potential loss and gain.
This script is particularly useful for both novice and experienced traders looking to enhance their risk management and trading discipline in the Gold market. Enjoy clearer trades at speed.
BB+Trend MeterEsta estrategia de trading de medio plazo se basa en una combinación de indicadores técnicos para identificar oportunidades de compra y venta en un marco temporal de 30 minutos( funciona muy bien en temporalidades mayores). Aquí están los detalles:
Indicadores Utilizados:
EMA 50: Media Móvil Exponencial de 50 periodos para identificar la tendencia principal.
SMA 200: Media Móvil Simple de 200 periodos para una visión más amplia de la tendencia.
Bandas de Bollinger (20, 2): Para identificar la volatilidad y posibles puntos de reversión.
RSI (14): Índice de Fuerza Relativa para detectar condiciones de sobrecompra y sobreventa.
MACD (12, 26, 9): Convergencia y Divergencia de Medias Móviles para identificar cambios en el momentum.
Trend Meter: Un indicador compuesto configurado para ofrecer señales de compra/venta confiables:
MACD Crossover-Fast-8,21,5: Señal rápida de cruce del MACD.
CCI 20: Índice de Canal de Materias Primas para detectar condiciones de sobrecompra/sobreventa.
Stochastic Oscillator (14, 3, 3): Oscilador Estocástico para confirmar momentum.
Condiciones de Entrada en Largo (Compra):
Precio por encima de la EMA 50 y SMA 200.
RSI menor que 70.
Cruce positivo del MACD (línea MACD cruza sobre la línea de señal).
Precio por encima de la banda media de las Bandas de Bollinger.
Señales positivas del Trend Meter (MACD Crossover, CCI sin señal de sobreventa, Stochastic sin señal de sobreventa).
Condiciones de Entrada en Corto (Venta):
Precio por debajo de la EMA 50 y SMA 200.
RSI mayor que 30.
Cruce negativo del MACD (línea MACD cruza bajo la línea de señal).
Precio por debajo de la banda media de las Bandas de Bollinger.
Señales negativas del Trend Meter (MACD sin cruce, CCI sin señal de sobrecompra, Stochastic sin señal de sobrecompra).
Gestión del Riesgo:
Stop-Loss: Se coloca por debajo del último mínimo para operaciones largas y por encima del último máximo para operaciones cortas.
Take-Profit: Se establece con una relación riesgo/beneficio de 1:2.
Gaussian Channel Strategy with RSI and MACD v3.2Using Gaussian Channels as entry and exit borders, topped with the RSI and MACD to filter out flat markets to avoid false signals. Works best on Bitcoin 1D chart. For long swing trades.
Bitcoin Cycle High/Low with functional Alerts [heswaikcrypt]Introduction
Just as machines are fine-tuned for maximum efficiency, trading indicators must evolve to meet the demands of ever-changing markets.
Credit goes to the exiting creator of the Pi-cycle algorithm.
Philip Swift’s Pi Cycle Top Indicator is a brilliant example of leveraging mathematical relationships to signal critical turning points in Bitcoin’s price cycles. Historically, it has identified market and local tops with some relative accuracy, often within three days, as demonstrated in all the previous bull run cycles.
At its core, the Pi Cycle Indicator derives its name from the mathematical constant π (pi), achieved by using simple moving averages (MAs) in a specific ratio: 𝜋 = Long MA/short MA
...
I didn't really do much in this script; I only improved the existing Pi-cycle indicator with a functional alert for the cycle top, cycle bottom, and the potential bull phase switch.
Knowing when Bitcoin reaches its top—and receiving timely alerts about it—is crucial for successful trading. The indicator is designed to signal;
Potential Bitcoin tops: Purple label
Potential Bitcoin bottoms : green Label, and
Parabolic swing : Diamond shape (relating to the market switching to a potential bull mode)
"Please note: This indicator is tailored for Bitcoin using historical data analysis and should not be considered definitive. However accurate it might be."
Setting alerts
To set the alert conditions, select any alert function call
to get alert whenever the conditions are met. The script is configured on dialy TF; you can set it on 1D or weekly TF.
Enjoy and Trade smartly
RSI Strategy With TP/SL - Lower TFThis Pine Script strategy integrates the Relative Strength Index (RSI) for trade signals with user-defined Take Profit (TP) and Stop Loss (SL) levels. It's designed for flexible application in different market conditions, offering long, short, or dual-direction trading.
Short Description
The strategy uses the RSI to identify overbought and oversold market conditions:
Buy signal: When RSI drops below the specified "Buy Level."
Sell signal: When RSI rises above the "Sell Level."
Additionally, it manages risk and profit targets with:
Take Profit (TP): Exits trades when the price reaches a percentage gain.
Stop Loss (SL): Exits trades to limit losses if the price falls by a certain percentage.
The strategy is versatile and includes options for visualizing performance, monthly profit/loss data, and detailed trade metrics.
How to Use
Set Parameters:
RSI Period: Default is 14. Adjust based on your analysis.
RSI Buy/Sell Levels:
Buy Level: Default is 40. Consider higher levels for conservative entries.
Sell Level: Default is 60. Lower this for earlier exits.
Take Profit (%): Set your profit target (default: 5%).
Stop Loss (%): Set your risk tolerance (default: 2%).
Trade Direction: Choose "Long Only," "Short Only," or "Both."
Interpret Signals:
Buy signals appear when RSI crosses below the buy threshold.
Sell signals appear when RSI crosses above the sell threshold.
Risk Management:
The strategy dynamically calculates TP and SL levels for each trade.
TP/SL is applied using the percentage input based on the entry price.
Monitor Performance:
Review trade statistics in the "Strategy Tester."
Use the monthly performance table to track P/L across months.
Customize Alerts:
Alerts for buy, sell, TP, and SL events can be used to automate notifications.
Key Features
Configurable RSI Settings: Adaptable to various market conditions.
Risk Management: Built-in TP and SL management.
Customizable Trade Direction: Tailored for long-only, short-only, or both directions.
Monthly P/L Table: Visualizes performance trends over time.
Alerts: Notifies when critical trade events occur.
Please do your own research before ase this to your real trading.
Three-MA ( SMA ) Default:7-25-99 Version6 v6Fascinating Indicator
Its Three Simple Moving Average of (Default:7 - 25 - 99)
You can Change it
Its V6
Use it
Dynamic Support & Resistance based on SMI CrossoverExplanation:
SMI Calculation: The script calculates the Stochastic Momentum Index (SMI) and its signal line using the specified input lengths.
Crossover Detection: It detects when the SMI crosses above (crossUp) or below (crossDown) its signal line.
Period Tracking: The script keeps track of up and down periods based on SMI crossovers. During an up period, it records the lowest low (support), and during a down period, it records the highest high (resistance).
Support and Resistance Levels: When a crossover occurs, it captures the highest or lowest value since the last crossover to define dynamic resistance and support levels.
Midline Calculation: The midline is calculated as the average of the current support and resistance levels.
Buy and Sell Signals: Buy signals are generated when the close price crosses above the midline, and sell signals are generated when it crosses below.
Plotting: The support, resistance, and midline are plotted on the upper chart. Buy and sell signals are indicated with arrows. Trendlines are added for visual clarity.
Note: This indicator should be used in conjunction with other analysis tools and is intended for educational purposes. Always perform thorough analysis before making trading decisions.
Like all technical indicators, this script is based on historical data and may not predict future market movements.
Always perform due diligence and consider multiple factors when making trading decisions.
WBS-HMThis Indicator works on
RSI + WMA and EMA plotted.
Default Values Used :
RSI = 9
WMA = 21
EMA = 3
How it works ??
Buy : When RSI crossover WMA or any Type of Moving Average you choose,
Sell : When RSI crossunder WMA or any Type of Moving Average you choose,
also:
Buy : When EMA crossover WMA or any Type of Moving Average you choose,
Sell : When EMA crossunder WMA or any Type of Moving Average you choose,
also:
Buy : When RSI + EMA crossover WMA or any Type of Moving Average you choose at the Same time,
Sell : When RSI + EMA crossunder WMA or any Type of Moving Average you choose at the Same time,
and Much More...! hope so you like it,
DI Oscillator with Adjustments by DSPDI Oscillator with Adjustments by DSP – High-Volatility Commodity Trading Tool 📈💥
Maximize Your Trading Efficiency in volatile commodity markets with the DI Oscillator with Adjustments by DSP. This unique indicator combines the classic +DI and -DI (Directional Indicators) with advanced adjustments that help you identify key trends and reversals in highly volatile conditions.
Whether you're trading commodities, forex, or stocks, this tool is engineered to help you navigate price fluctuations and make timely, informed decisions. Let this powerful tool guide you through turbulent market conditions with ease!
Key Features:
Dynamic Background Color Shifts 🌈:
Green Background: Signals a strong uptrend where +DI is clearly above -DI, and the trend is supported by clear separation between the two indicators.
Red Background: Signals a strong downtrend where -DI is above +DI, indicating bearish pressure.
Violet Background: Shows a neutral or consolidating market where the +DI and -DI lines are closely interwoven, giving you a clear picture of sideways movement.
Buy and Sell Labels 📊:
Buy Signal: Automatically triggers when the background changes to green, indicating a potential entry point during a bullish trend.
Sell Signal: Automatically triggers when the background shifts from purple to red, indicating a bearish trend reversal.
Labels are positioned away from the bars, ensuring your chart remains uncluttered and easy to read.
Enhanced Adjustments for Volatile Markets ⚡:
Custom adjustments based on consecutive green or red bars (excluding “sandwiched” bars) provide you with more nuanced signals, improving the accuracy of trend detection in volatile conditions.
Horizontal Line Reference 📏:
Set a custom horizontal level to mark significant price levels that may act as resistance or support, helping you identify key price points in volatile market swings.
Separation Threshold 🧮:
A custom separation threshold defines when the +DI and -DI lines are far enough apart to confirm a strong trend. This is crucial for commodity markets that experience rapid price changes and fluctuations.
Visual Clarity ✨:
Both +DI and -DI lines are plotted clearly in green and red, respectively, with a dedicated background color system that makes trend shifts visually intuitive.
Why This Indicator Works for Volatile Commodities 🌍📊:
Commodity markets are notorious for their volatility, with prices often experiencing rapid and unpredictable movements. This indicator gives you clear visual cues about trend strength and reversals, enabling you to act quickly and confidently.
By adjusting the +DI based on consecutive green and red bars, this tool adapts to the specific price action in high-volatility conditions, helping you stay ahead of the curve.
The background color system ensures that you can visually track market trends at a glance, making it easier to make split-second decisions without missing opportunities.
How to Use:
Add the Indicator: Simply add the DI Oscillator with Adjustments by DSP to your TradingView chart.
Watch for Background Color Shifts: Stay alert for the background color to shift from violet to green (for buy) or purple to red (for sell), signaling potential trade opportunities.
Set Alerts: Receive notifications when background color changes, providing you with real-time alerts to keep track of market movements.
Interpret the DI Lines: Use the +DI and -DI lines to gauge trend strength and adjust your strategy accordingly.
Who Can Benefit:
Day Traders: Take advantage of quick trend reversals and high volatility in commodities markets, such as gold, oil, or agricultural products.
Swing Traders: Identify key trend shifts over longer periods, making it easier to enter or exit trades during major price movements.
Risk Managers: Use this tool’s visual cues to better understand price fluctuations and adjust your position sizes according to market conditions.
💡 Unlock Your Potential with the DI Oscillator 💡
For traders in high-volatility commodity markets, this indicator is a game-changer. It simplifies the complexity of trend analysis and gives you the actionable insights you need to make fast, profitable decisions. Whether you're trading gold, oil, or other volatile commodities, the DI Oscillator with Adjustments by DSP can help you navigate market chaos and make better-informed trades.
Don’t miss out — enhance your trading strategy today with this powerful tool and stay ahead in any market environment!
kk sharma Custom Candle Range Color Indicatorcandle range finder, for minimum 100 point candle.. range...
