Optimized Impulse Wave Strategy - Precision Trading with 30% This strategy leverages a powerful combination of MACD, Elliott Wave, Fibonacci retracements, trend lines, and Hurst cycles to identify high-probability trade setups for BTC/USDT. Using a strict "decisive break" rule, it only considers trend line breaks valid when a full 4-hour candle opens and closes beyond the level, ensuring robust confirmation before entering trades.
With a 30% profitability rate, this script is fine-tuned to catch long-term impulse waves while minimizing false breakouts. Ideal for traders looking to balance precision with trend-following momentum.
Key Features:
📊 Multi-timeframe confirmation for stronger signals.
🔄 Automated entry/exit based on confluence of indicators.
🎯 Dynamic stop-loss and take-profit levels using Fibonacci extensions.
📈 Works on multiple timeframes, optimized for 3H and 4H charts.
⚠️ Backtested results show a consistent performance, but further optimizations are encouraged to tailor the strategy to market conditions.
🔔 Follow for more updates and strategy enhancements!
#CryptoTrading #ImpulseWave #TradingStrategy #MACD #ElliottWave #Fibonacci #TrendLines #Backtesting
المؤشرات والاستراتيجيات
استراتژی مبتنی بر داده‌های سودده‌ها//@version=5
strategy("استراتژی مبتنی بر داده‌های سودده‌ها", overlay=true)
// فرض کنید این داده‌ها از یک منبع خارجی وارد می‌شوند
// برای مثال، یک آرایه از سیگنال‌های خرید و فروش
buy_signals = array.new_float() // سیگنال‌های خرید
sell_signals = array.new_float() // سیگنال‌های فروش
// اضافه کردن سیگنال‌های فرضی به آرایه‌ها
array.push(buy_signals, 100) // مثال: سیگنال خرید در قیمت 100
array.push(sell_signals, 105) // مثال: سیگنال فروش در قیمت 105
// بررسی سیگنال‌ها
if (array.size(buy_signals) > 0 and close >= array.get(buy_signals, 0))
strategy.entry("Buy", strategy.long)
if (array.size(sell_signals) > 0 and close >= array.get(sell_signals, 0))
strategy.close("Buy")
Multiple Moving Averages with Signalsadvanced signal for buy and sell . Using multiple Moving Averages: a method to use the Moving Averages, is to insert two moving averages on the same chart to obtain some signals from them. The two moving averages have to be similar but with different Period: a moving average must be for the short-term, the other must be for the long-term.
EMA ME (12-32)//@version=5
indicator("EMA 12 & 32", overlay=true)
// محاسبه EMA ها
ema12 = ta.ema(close, 12)
ema32 = ta.ema(close, 32)
// رسم EMA ها روی نمودار
plot(ema12, color=color.blue, linewidth=2, title="EMA 12")
plot(ema32, color=color.red, linewidth=2, title="EMA 32")
30 moving averageA 30-moving average (MA) is a technical analysis tool that calculates the average price of an asset over the last 30 periods (e.g., days, weeks, or months). It smooths out price fluctuations to help traders and investors identify trends. Here’s a brief overview:
Purpose: To determine the overall trend direction and filter out short-term price volatility.
Types:
Simple Moving Average (SMA): Equal weight is given to all data points.
Exponential Moving Average (EMA): More weight is given to recent prices.
Usage:
When the price is above the 30-MA, it suggests an uptrend.
When the price is below the 30-MA, it indicates a downtrend.
Application: Commonly used in combination with other indicators to confirm trends, identify potential entry/exit points, and assess overall market momentum.
Bearish Gap Down DetectionThis indicator is designed to identify bearish gap downs in price action and visually mark them on your chart. A gap down occurs when today's opening price is below the previous day's low, and the closing price remains below that low, signaling a potential bearish continuation or reversal.
Features:
Precise Gap Down Detection: Identifies only confirmed bearish gap downs, avoiding false signals.
Clear Visual Markers: Marks detected gap downs with a red downward triangle above the bar for easy identification.
Minimalist Design: Focuses solely on gap down detection, without any reliance on moving averages or additional noise.
Use Cases:
Trend Reversals: Spot potential downward trends as they develop.
Momentum Confirmation: Use alongside other indicators or strategies to confirm bearish momentum.
Swing Trading Opportunities: Ideal for traders looking to capitalize on significant price movements.
How It Works:
The script detects a gap down when:
Today's opening price is below the previous day's low.
Today's closing price stays below the previous day's low.
When these conditions are met, the indicator plots a red triangle above the price bar, signaling a bearish gap down.
Best Practices:
Apply this script to daily or higher timeframes for more reliable results.
Combine it with other indicators, such as support/resistance levels or volume analysis, for enhanced decision-making.
US10Y 63-Day Range Percentage [TomasOnMarkets]x.com
x.com
Switch to cash when the 10-Year Treasury Yield rises above %80 of its range over the prior 63-days.
Pretty good for the S&P 500
Not as good for bitcoin - but maybe still useful
Credits to
Tomas (@TomasOnMarkets)
Warren Pies (@WarrenPies)
Custom ROCThe Custom ROC allows you to set the length of the ROC. You can also set a reference value and an upward deviation. The sum of the reference value and deviation is shown as a green line.
EMA 14/25/55The indicator calculates three Exponential Moving Averages (EMAs) with periods of 14, 25, and 55. These EMAs are commonly used for analyzing short-term, medium-term, and long-term price trends. The plots are color-coded (red for 14, orange for 25, and aqua for 55) for easy differentiation, helping traders identify trend direction and potential crossovers for trading signals.
US10Y 63-Day Range PercentageMide la posición actual del precio del US10Y en su rango de los últimos 63 días, expresada como porcentaje.
Interpretación:
0%: El precio está en el mínimo del rango.
100%: El precio está en el máximo del rango.
Color de fondo: Resalta condiciones extremas según los umbrales configurados.
Cumulative Price AverageThe Cumulative Price Average (CPA) indicator calculates and plots the overall average of candlestick prices, providing a smoothed representation of the market's long-term price trend. This is achieved by aggregating the averages of each candle (Open, High, Low, Close) and dynamically updating the overall average as new candles are added.
Key Features
Long-Term Price Perspective: Displays the cumulative average of all candles from the start of the chart.
Trend Visualization: Smooths out short-term price fluctuations to highlight the overall trend.
Dynamic Updates: The average adjusts with each new bar for real-time analysis.
Usage
Trend Analysis:
Identify long-term bullish or bearish trends by observing the slope of the CPA line.
Support/Resistance:
The CPA line can act as a dynamic support or resistance level for the price.
Price Comparison:
Compare the current price to the CPA to assess whether the market is overbought or oversold relative to its historical average.
This indicator is especially useful for traders seeking to incorporate a historical perspective into their analysis, providing insights into the broader market behavior beyond short-term volatility.
Customizable VeloAn exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
1
The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average (SMA), which applies an equal weight to all observations in the period.
Yearly Open LevelsThe Yearly Open Levels indicator is designed to help traders visualize the opening price of each year on a price chart.
Key Features:
Yearly Open Display: Automatically calculates and displays the opening price for each year starting from a user-defined starting year. This helps traders quickly spot where the price opens each year.
Customizable Start Year: Users can set a specific year to begin displaying opening levels. The default starting year is 2022, but this can be adjusted based on individual trader needs.
Visual Lines and Labels: Each yearly open is represented by a horizontal line that extends to the right of the chart, making it easy to see the level throughout the year.
A label is placed next to the line, indicating the year and the opening price, enhancing clarity and reference while analyzing price movements.
Color Customization: Traders can choose the color of the lines and labels to fit their charting style or preferences, enhancing the visual representation on different market charts.
Stan Weinstein Stage 2 Volume AnalysisStan Weinstein's Stage 2 Volume Analysis focuses on identifying a key phase in his Stage Analysis method, which is the Stage 2 Uptrend. This stage signifies the start of a strong bullish trend, often accompanied by significant volume activity. Here's a concise description:
What is Stage 2?
Stage 2 is the advancing phase of a stock's lifecycle, characterized by rising prices and a breakout above a base (support zone) and the 30-week moving average.
Volume Characteristics in Stage 2:
Breakout Confirmation: A clear surge in volume (often 50% or more above the average) during the price breakout is a strong confirmation of Stage 2.
Sustained Momentum: Subsequent pullbacks should show lower volume, while further upward moves are accompanied by increasing volume.
Significance:
High volume during a breakout indicates strong institutional buying and broad market participation, reinforcing the breakout's reliability.
Helps traders and investors avoid false breakouts and identify high-probability trades.
This analysis integrates volume with price action and trend tools to assess the strength and validity of a Stage 2 breakout.
Demand and Supply Zones Intraday Strategy(SAMARESH PANDA)Explanation:
Input Parameters:
length: Determines the number of bars to look back for identifying the highest and lowest prices to mark demand and supply zones.
zoneBuffer: A buffer in pips to place the stop and limit orders near the identified demand and supply zones.
Demand and Supply Zones:
The script identifies demand zones as the lowest low over the past length bars and supply zones as the highest high over the same period.
Buy (Long) Condition:
A buy signal is generated when the price crosses above the demand zone from below and the price closes above the demand zone.
Sell (Short) Condition:
A sell signal is generated when the price crosses below the supply zone from above and the price closes below the supply zone.
Stop and Limit Orders:
For long trades, the stop is placed just below the demand zone (zoneBuffer), and the limit is placed just above the demand zone.
For short trades, the stop is placed just above the supply zone (zoneBuffer), and the limit is placed just below the supply zone.
Exit Conditions:
The long position is closed when the price moves above the supply zone.
The short position is closed when the price moves below the demand zone.
Additional Notes:
Customization: You can modify the length and zoneBuffer values to adjust how sensitive the strategy is to price action and the zone buffers.
Risk Management: You may want to add additional filters for volume, indicators like RSI/MACD, or other market conditions to filter out false signals.
Testing & Optimization: As with any strategy, it's important to backtest and optimize it according to your preferred market conditions and risk tolerance.
Using the Strategy:
Apply the script to a 1-hour or 30-minute chart for identifying the demand and supply zones.
For better precision in entry, you can switch to a lower timeframe (like 5-minute or 15-minute) to execute your trades more accurately when the price reaches a demand or supply zone.
The buy and sell signals will appear on the chart as green (BUY) and red (SELL) labels.
Example of Execution:
Long Entry: The price closes above the demand zone and crosses up. A long position is opened with a stop below the demand zone and a limit near it.
Short Entry: The price closes below the supply zone and crosses down. A short position is opened with a stop above the supply zone and a limit near it.
This strategy works best in trending markets where price tends to respect these zones. Make sure to monitor the strategy closely and adjust it based on market volatility or changes in the broader trend.
You said:
create a pine script pivot point standard for buy sell
ChatGPT said:
ChatGPT
Sure! Below is a Pine Script that implements the Pivot Point Standard for intraday trading, with buy and sell signals based on the pivot point strategy.
Pivot points are calculated based on the previous day’s high, low, and close prices, and they are widely used in intraday trading to determine potential support and resistance levels.
Previous D, W, M High/LowThis indicator plots previous day's high,low,open and close values and plots previous week's and month's high and low value on the chart.
MACD Strategy with SignalMACD Strategy with Long and Short Signal
The strategy uses the MACD line and Signal line to identify trading opportunities:
Long signal: When the MACD line crosses above the Signal line.
Short signal: When the MACD line crosses below the Signal line.
Signal Display: Visual signals are plotted on the chart:
Green arrow up for a Long entry.
Red arrow down for a Short entry.
Buy/Sell Indicator + SMA 5/8/21/200This Buy Sell Indicator uses price action calculations to determine the bullish or bearish nature of the current market and then calculates if the price action is strong enough to give a signal. Also you can plot 4 simple moving averages with this script.
Special thanks to script coders in Trading view from whom i have learnt the scripting and customized my script accordingly.
50 EMA & 100 EMA by dhirajInputs: Allows you to adjust the lengths of the 50 EMA and 100 EMA dynamically.
Calculations: Computes the 50 EMA and 100 EMA using the ta.ema function.
Plots: Displays the two EMAs on the chart with different colors.
Background Color: Optionally colors the background when the 50 EMA crosses above or below the 100 EMA.
Inside Candle Strategy HANMANT//@version=5
indicator("Inside Candle Strategy", overlay=true)
// Identify the previous candle's high and low
prevHigh = high
prevLow = low
// Identify the current candle's high and low
currHigh = high
currLow = low
// Check if the current candle is an inside candle
isInsideCandle = (currHigh < prevHigh) and (currLow > prevLow)
// Plotting the inside candle
bgcolor(isInsideCandle ? color.new(color.blue, 90) : na)
// Long and Short conditions
longCondition = isInsideCandle and (currHigh > currHigh )
shortCondition = isInsideCandle and (currLow < currLow )
// Generate signals
plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.labelup, text="Long")
plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.labeldown, text="Short")
// Alerts
alertcondition(longCondition, title="Long Signal", message="Long Signal Triggered")
alertcondition(shortCondition, title="Short Signal", message="Short Signal Triggered")
