5Bar SignalA 5 bar counting on the moving average indicator. It will show a sell signal if there are 5 bars closing below the moving average and a buy signal if there are 5 bars closing above the moving average
Forecasting
Helper Indicator for Crypto Scalping Pro//@version=5
indicator("Helper Indicator for Crypto Scalping Pro", overlay=true)
// === НАСТРОЙКИ ===
showTrendLines = input.bool(true, "Показывать линии тренда")
showSupportResistance = input.bool(true, "Показывать уровни поддержки и сопротивления")
showAdditionalSignals = input.bool(true, "Показывать дополнительные сигналы")
// === БАЗОВЫЕ ИНДИКАТОРЫ ===
fastEMA = ta.ema(close, 8)
mediumEMA = ta.ema(close, 13)
slowEMA = ta.ema(close, 21)
// Определение тренда
isBullishTrend = fastEMA > mediumEMA and mediumEMA > slowEMA
isBearishTrend = fastEMA < mediumEMA and mediumEMA < slowEMA
// Поддержка и сопротивление
highestHigh = ta.highest(high, 20)
lowestLow = ta.lowest(low, 20)
// Линии тренда
plot(fastEMA, "Fast EMA (8)", color=color.blue, linewidth=1)
plot(mediumEMA, "Medium EMA (13)", color=color.orange, linewidth=1)
plot(slowEMA, "Slow EMA (21)", color=color.red, linewidth=1)
// Уровни поддержки и сопротивления
plot(showSupportResistance ? highestHigh : na, "Resistance", color=color.red, style=plot.style_line, linewidth=2)
plot(showSupportResistance ? lowestLow : na, "Support", color=color.green, style=plot.style_line, linewidth=2)
// Сигналы
buySignal = isBullishTrend and close > mediumEMA
sellSignal = isBearishTrend and close < mediumEMA
// Визуализация сигналов
plotshape(showAdditionalSignals and buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(showAdditionalSignals and sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
// === АЛЕРТЫ ===
alertcondition(buySignal, title="Buy Signal", message="Тренд восходящий! Вход в покупку!")
alertcondition(sellSignal, title="Sell Signal", message="Тренд нисходящий! Вход в продажу!")
Power Law Regression with SDThis idea use power law to determine price and use to predict state of random walk and trend.
AAMIA40 (Ai Agent + Meme + Infrastructure 40)I created the AAMIA 40 to help me track overall market sentiment. Based on 40 Ai meta tokens, it will evolve as the market does (similar to how the DOW may add or remove stocks for its index).
Free for now. Enjoy.
Brought to you by genxcrypto
You can find me on X @_genxcrypto
Poisson Projection of Price Levels### **Poisson Projection of Price Levels**
**Overview:**
The *Poisson Projection of Price Levels* is a cutting-edge technical indicator designed to identify and visualize potential support and resistance levels based on historical price interactions. By leveraging the Poisson distribution, this tool dynamically adjusts the significance of each price level's past "touches" to project future interactions with varying degrees of probability. This probabilistic approach offers traders a nuanced view of where price levels may hold or react in upcoming bars, enhancing both analysis and trading strategies.
---
**🔍 **Math & Methodology**
1. **Strata Levels:**
- **Definition:** Strata are horizontal lines spaced evenly around the current closing price.
- **Calculation:**
\
where \(i\) ranges from 0 to \(\text{Strata Count} - 1\).
2. **Forecast Iterations:**
- **Structure:** The indicator projects five forecast iterations into the future, each spaced by a Fibonacci sequence of bars: 2, 3, 5, 8, and 13 bars ahead. This spacing is inspired by the Fibonacci sequence, which is prevalent in financial market analysis for identifying key levels.
- **Purpose:** Each iteration represents a distinct forecast point where the price may interact with the strata, allowing for a multi-step projection of potential price levels.
3. **Touch Counting:**
- **Definition:** A "touch" occurs when the closing price of a bar is within half the increment of a stratum level.
- **Process:** For each stratum and each forecast iteration, the indicator counts the number of touches within a specified lookback window (e.g., 80 bars), offset by the forecasted position. This ensures that each iteration's touch count is independent and contextually relevant to its forecast horizon.
- **Adjustment:** Each forecast iteration analyzes a unique segment of the lookback window, offset by its forecasted position to ensure independent probability calculations.
4. **Poisson Probability Calculation:**
- **Formula:**
\
\
- **Interpretation:** \(p(k=1)\) represents the probability of exactly one touch occurring within the lookback window for each stratum and iteration.
- **Application:** This probability is used to determine the transparency of each stratum line, where higher probabilities result in more opaque (less transparent) lines, indicating stronger historical significance.
5. **Transparency Mapping:**
- **Calculation:**
\
- **Purpose:** Maps the Poisson probability to a visual transparency level, enhancing the readability of significant strata levels.
- **Outcome:** Strata with higher probabilities (more historical touches) appear more opaque, while those with lower probabilities appear fainter.
---
**📊 **Comparability to Standard Techniques**
1. **Support and Resistance Levels:**
- **Traditional Approach:** Traders identify support and resistance based on historical price reversals, pivot points, or psychological price levels.
- **Poisson Projection:** Automates and quantifies this process by statistically analyzing the frequency of price interactions with specific levels, providing a probabilistic measure of significance.
2. **Statistical Modeling:**
- **Standard Models:** Techniques like Moving Averages, Bollinger Bands, or Fibonacci Retracements offer dynamic and rule-based levels but lack direct probabilistic interpretation.
- **Poisson Projection:** Introduces a discrete event probability framework, offering a unique blend of statistical rigor and visual clarity that complements traditional indicators.
3. **Event-Based Analysis:**
- **Financial Industry Practices:** Event studies and high-frequency trading models often use Poisson processes to model order arrivals or price jumps.
- **Indicator Application:** While not identical, the use of Poisson probabilities in this indicator draws inspiration from event-based modeling, applying it to the context of price level interactions.
---
**💡 **Strengths & Advantages**
1. **Innovative Visualization:**
- Combines statistical probability with traditional support/resistance visualization, offering a fresh perspective on price level significance.
2. **Dynamic Adaptability:**
- Parameters like strata increment, lookback window, and probability threshold are user-defined, allowing customization across different markets and timeframes.
3. **Independent Probability Calculations:**
- Each forecast iteration calculates its own Poisson probability, ensuring that projections are contextually relevant and independent of other iterations.
4. **Clear Visual Cues:**
- Transparency-based coloring intuitively highlights significant price levels, making it easier for traders to identify key areas of interest at a glance.
---
**⚠️ **Limitations & Considerations**
1. **Poisson Assumptions:**
- Assumes that touches occur independently and at a constant average rate (\(\lambda\)), which may not always align with market realities characterized by trends and volatility clustering.
2. **Computational Intensity:**
- Managing multiple iterations and strata can be resource-intensive, potentially affecting performance on lower-powered devices or with very high lookback windows.
3. **Interpretation Complexity:**
- While transparency offers visual clarity, understanding the underlying probability calculations requires a basic grasp of Poisson statistics, which may be a barrier for some traders.
---
**📢 **How to Use It**
1. **Add to TradingView:**
- Open TradingView and navigate to the Pine Script Editor.
- Paste the script above and click **Add to Chart**.
2. **Configure Inputs:**
- **Strata Increment:** Set the desired price step between strata (e.g., `0.1` for 10 cents).
- **Lookback Window:** Define how many past bars to consider for calculating Poisson probabilities (e.g., `80`).
- **Probability Transparency Threshold (%):** Set the threshold percentage to map probabilities to line transparency (e.g., `25%`).
3. **Understand the Forecast Iterations:**
- The indicator projects five forecast points into the future at bar spacings of 2, 3, 5, 8, and 13 bars ahead.
- Each iteration independently calculates its Poisson probability based on the touch counts within its specific lookback window offset by its forecasted position.
4. **Interpret the Visualization:**
- **Opaque Lines:** Indicate higher Poisson probabilities, suggesting historically significant price levels that are more likely to interact again.
- **Fainter Lines:** Represent lower probabilities, indicating less historically significant levels that may be less likely to interact.
- **Forecast Spacing:** The spacing of 2, 3, 5, 8, and 13 bars ahead aligns with Fibonacci principles, offering a natural progression in forecast horizons.
5. **Apply to Trading Strategies:**
- **Support/Resistance Identification:** Use the opaque lines as potential support and resistance levels for placing trades.
- **Entry and Exit Points:** Anticipate price interactions at forecasted levels to plan strategic entries and exits.
- **Risk Management:** Utilize the transparency mapping to determine where to place stop-loss and take-profit orders based on the probability of price interactions.
6. **Customize as Needed:**
- Adjust the **Strata Increment** to fit different price ranges or volatility levels.
- Modify the **Lookback Window** to capture more or fewer historical touches, adapting to different timeframes or market conditions.
- Tweak the **Probability Transparency Threshold** to control the sensitivity of transparency mapping to Poisson probabilities.
**📈 **Practical Applications**
1. **Identifying Key Levels:**
- Quickly visualize which price levels have historically had significant interactions, aiding in the identification of potential support and resistance zones.
2. **Forecasting Price Reactions:**
- Use the forecast iterations to anticipate where price may interact in the near future, assisting in planning entry and exit points.
3. **Risk Management:**
- Determine areas of high probability for price reversals or consolidations, enabling better placement of stop-loss and take-profit orders.
4. **Market Analysis:**
- Assess the strength of market levels over different forecast horizons, providing a multi-layered understanding of market structure.
---
**🔗 **Conclusion**
The *Poisson Projection of Price Levels* bridges the gap between statistical modeling and traditional technical analysis, offering traders a sophisticated tool to quantify and visualize the significance of price levels. By integrating Poisson probabilities with dynamic transparency mapping, this indicator provides a unique and insightful perspective on potential support and resistance zones, enhancing both analysis and trading strategies.
---
**📞 **Contact:**
For support or inquiries, please contact me on TradingView!
---
**📢 **Join the Conversation!**
Have questions, feedback, or suggestions for further enhancements? Feel free to comment below or reach out directly. Your input helps refine and evolve this tool to better serve the trading community.
---
**Happy Trading!** 🚀
Future Price Prediction with Buy/Sell Signals1.Technical Analysis: Analyzing historical price data and market trends using charts and indicators.
2.Fundamental Analysis: Evaluating the intrinsic value of an asset based on company financials, market conditions, and economic factors.
3.Machine Learning Models: Using algorithms like regression, neural networks, or time series forecasting to predict price movements.
4.Sentiment Analysis: Gauging market sentiment through social media, news, and other textual data to predict how future events might affect prices.
MACD & RSI by DSzMACD & RSI by DSz
Description:
This indicator combines two powerful technical analysis tools: MACD (Moving Average Convergence Divergence) and RSI (Relative Strength Index), providing a comprehensive view of market momentum and overbought/oversold conditions, all in one convenient display.
----------------------------------------------------------------------------------
Features:
MACD (Moving Average Convergence Divergence ):
Displays the difference between fast and slow moving averages.
Includes a signal line and histogram to identify bullish/bearish crossovers and momentum changes.
Colors the histogram bars dynamically based on momentum.
Scaled RSI (Relative Strength Index):
RSI values are scaled to a range for enhanced clarity on the chart.
Highlights overbought and oversold areas with colored zones.
Includes customizable upper (Sell Level) and lower (Buy Level) thresholds for precise trading signals.
----------------------------------------------------------------------------------
Customizable Parameters:
Modify MACD lengths, smoothing types, and source data.
Adjust RSI length, scaling factor, and thresholds for buy/sell levels.
----------------------------------------------------------------------------------
How to Use :
Use the MACD Histogram to detect trends and momentum shifts. A crossover of the MACD line above or below the signal line can indicate potential buy or sell opportunities.
The RSI Zones help identify when the market is overbought (red area) or oversold (green area), aiding in reversal detection.
Combine both tools for confirmation: e.g., an oversold RSI along with a bullish MACD crossover could signal a strong buying opportunity.
WT SETUP WITH LINES AND LABELS//@version=5
indicator("WT SETUP WITH LINES AND LABELS", "WT SETUP", overlay=true, max_lines_count=500, max_labels_count=500)
// Timeframe selection
tf = input.string("D", "Timeframe", options= )
// Level selection
level_selection = input.string("Yesterday", "Level Calculation", options= )
// Color input options
color pivotColor = input.color(color.white, "Pivot Color", group="Colors")
color highColor = input.color(color.red, "High Color", group="Colors")
color lowColor = input.color(color.green, "Low Color", group="Colors")
color closeColor = input.color(color.white, "Close Color", group="Colors")
color r1Color = input.color(color.red, "R1 Color", group="Colors")
color r2Color = input.color(color.red, "R2 Color", group="Colors")
color r3Color = input.color(color.red, "R3 Color", group="Colors")
color r4Color = input.color(color.red, "R4 Color", group="Colors")
color s1Color = input.color(color.green, "S1 Color", group="Colors")
color s2Color = input.color(color.green, "S2 Color", group="Colors")
color s3Color = input.color(color.green, "S3 Color", group="Colors")
color s4Color = input.color(color.green, "S4 Color", group="Colors")
offset = level_selection == "Yesterday" ? 1 : 0
float lowPrev = request.security(syminfo.tickerid, tf, low )
float highPrev = request.security(syminfo.tickerid, tf, high )
float closePrev = request.security(syminfo.tickerid, tf, close )
float pivot = (lowPrev + highPrev + closePrev) / 3
float s1 = (2 * pivot) - highPrev
float r1 = (2 * pivot) - lowPrev
float rangeValue = highPrev - lowPrev
float s2 = pivot - rangeValue
float r2 = pivot + rangeValue
float s3 = lowPrev - 2 * (highPrev - pivot)
float r3 = highPrev + 2 * (pivot - lowPrev)
float s4 = pivot * 3 - (3 * highPrev - lowPrev)
float r4 = pivot * 3 + (highPrev - 3 * lowPrev)
var line pivotLine = na
var line r1Line = na
var line r2Line = na
var line r3Line = na
var line r4Line = na
var line s1Line = na
var line s2Line = na
var line s3Line = na
var line s4Line = na
var line highLine = na
var line lowLine = na
var line closeLine = na
var label pivotLabel = na
var label r1Label = na
var label r2Label = na
var label r3Label = na
var label r4Label = na
var label s1Label = na
var label s2Label = na
var label s3Label = na
var label s4Label = na
var label highLabel = na
var label lowLabel = na
var label closeLabel = na
if barstate.islast
pivotLine := line.new(bar_index, pivot, bar_index + 1, pivot, extend=extend.right, color=pivotColor, width=1)
r1Line := line.new(bar_index, r1, bar_index + 1, r1, extend=extend.right, color=r1Color, width=1)
r2Line := line.new(bar_index, r2, bar_index + 1, r2, extend=extend.right, color=r2Color, width=1)
r3Line := line.new(bar_index, r3, bar_index + 1, r3, extend=extend.right, color=r3Color, width=1)
r4Line := line.new(bar_index, r4, bar_index + 1, r4, extend=extend.right, color=r4Color, width=1)
s1Line := line.new(bar_index, s1, bar_index + 1, s1, extend=extend.right, color=s1Color, width=1)
s2Line := line.new(bar_index, s2, bar_index + 1, s2, extend=extend.right, color=s2Color, width=1)
s3Line := line.new(bar_index, s3, bar_index + 1, s3, extend=extend.right, color=s3Color, width=1)
s4Line := line.new(bar_index, s4, bar_index + 1, s4, extend=extend.right, color=s4Color, width=1)
highLine := line.new(bar_index, highPrev, bar_index + 1, highPrev, extend=extend.right, color=highColor, width=1)
lowLine := line.new(bar_index, lowPrev, bar_index + 1, lowPrev, extend=extend.right, color=lowColor, width=1)
closeLine := line.new(bar_index, closePrev, bar_index + 1, closePrev, extend=extend.right, color=closeColor, width=1)
tfString = tf == "D" ? "Daily" : (tf == "W" ? "Weekly" : "Monthly")
levelString = level_selection == "Yesterday" ? "Yesterday's" : "Latest"
pivotLabel := label.new(bar_index, pivot, tfString + " " + levelString + " Pivot " + str.tostring(pivot, "(#.##)"), color=color.gray, style=label.style_label_down, textcolor=color.white)
r1Label := label.new(bar_index, r1, "R1 " + str.tostring(r1, "(#.##)"), color=r1Color, style=label.style_label_down, textcolor=color.white)
r2Label := label.new(bar_index, r2, "R2 " + str.tostring(r2, "(#.##)"), color=r2Color, style=label.style_label_down, textcolor=color.white)
r3Label := label.new(bar_index, r3, "R3 " + str.tostring(r3, "(#.##)"), color=r3Color, style=label.style_label_down, textcolor=color.white)
r4Label := label.new(bar_index, r4, "R4 " + str.tostring(r4, "(#.##)"), color=r4Color, style=label.style_label_down, textcolor=color.white)
s1Label := label.new(bar_index, s1, "S1 " + str.tostring(s1, "(#.##)"), color=s1Color, style=label.style_label_up, textcolor=color.white)
s2Label := label.new(bar_index, s2, "S2 " + str.tostring(s2, "(#.##)"), color=s2Color, style=label.style_label_up, textcolor=color.white)
s3Label := label.new(bar_index, s3, "S3 " + str.tostring(s3, "(#.##)"), color=s3Color, style=label.style_label_up, textcolor=color.white)
s4Label := label.new(bar_index, s4, "S4 " + str.tostring(s4, "(#.##)"), color=s4Color, style=label.style_label_up, textcolor=color.white)
highLabel := label.new(bar_index, highPrev, "High " + str.tostring(highPrev, "(#.##)"), color=highColor, style=label.style_label_down, textcolor=color.white)
lowLabel := label.new(bar_index, lowPrev, "Low " + str.tostring(lowPrev, "(#.##)"), color=lowColor, style=label.style_label_up, textcolor=color.white)
closeLabel := label.new(bar_index, closePrev, "Close " + str.tostring(closePrev, "(#.##)"), color=color.gray, style=label.style_label_down, textcolor=color.white)
else
line.delete(pivotLine)
line.delete(r1Line)
line.delete(r2Line)
line.delete(r3Line)
line.delete(r4Line)
line.delete(s1Line)
line.delete(s2Line)
line.delete(s3Line)
line.delete(s4Line)
line.delete(highLine)
line.delete(lowLine)
line.delete(closeLine)
label.delete(pivotLabel)
label.delete(r1Label)
label.delete(r2Label)
label.delete(r3Label)
label.delete(r4Label)
label.delete(s1Label)
label.delete(s2Label)
label.delete(s3Label)
label.delete(s4Label)
label.delete(highLabel)
label.delete(lowLabel)
label.delete(closeLabel)
Crypto Scalping Pro 65%//@version=5
indicator("Crypto Scalping Pro", overlay=true)
// === НАСТРОЙКИ ===
var bool showTPLevels = input.bool(true, "Показывать уровни TP")
tp1Multiplier = input.float(0.5, "TP1 множитель (50%)")
tp2Multiplier = input.float(1.0, "TP2 множитель (100%)")
// === БАЗОВЫЕ ИНДИКАТОРЫ ===
// Быстрые EMA для 5м таймфрейма
fastEMA = ta.ema(close, 8)
mediumEMA = ta.ema(close, 13)
slowEMA = ta.ema(close, 21)
// Импульсный RSI
rsiValue = ta.rsi(close, 8) // Уменьшенный период для быстрой реакции
rsiMA = ta.sma(rsiValue, 5)
rsiMomentum = rsiValue - rsiMA
// Объем и волатильность
volumeMA = ta.sma(volume, 10)
volumeChange = volume / volumeMA
atr = ta.atr(14)
normalizedATR = atr / close * 100
// Специальный фильтр для крипторынка (учитывает повышенную волатильность)
isVolatilityNormal = normalizedATR < ta.sma(normalizedATR, 50) * 1.5
// === УСЛОВИЯ ВХОДА ===
// Сильный тренд
trendStrength = (fastEMA - slowEMA) / slowEMA * 100
// Длинная позиция
longCondition = fastEMA > mediumEMA and mediumEMA > slowEMA and rsiMomentum > 0 and volumeChange > 1.2 and isVolatilityNormal and close > fastEMA and trendStrength > 0.1
// Короткая позиция
shortCondition = fastEMA < mediumEMA and mediumEMA < slowEMA and rsiMomentum < 0 and volumeChange > 1.2 and isVolatilityNormal and close < fastEMA and trendStrength < -0.1
// === РАСЧЕТ УРОВНЕЙ ===
// Стоп-лосс (динамический, основан на ATR)
stopSize = atr * 1.2 // Немного больше ATR для крипто
// Уровни тейк-профита
var float tp1Long = na
var float tp2Long = na
var float tp1Short = na
var float tp2Short = na
// Присваивание значений для уровней TP
if longCondition
tp1Long := close + (stopSize * tp1Multiplier)
tp2Long := close + (stopSize * tp2Multiplier)
if shortCondition
tp1Short := close - (stopSize * tp1Multiplier)
tp2Short := close - (stopSize * tp2Multiplier)
// === ВИЗУАЛИЗАЦИЯ ===
// Переменные для визуализации
longSL = longCondition ? close - stopSize : na
shortSL = shortCondition ? close + stopSize : na
tp1LongPlot = showTPLevels and longCondition ? tp1Long : na
tp2LongPlot = showTPLevels and longCondition ? tp2Long : na
tp1ShortPlot = showTPLevels and shortCondition ? tp1Short : na
tp2ShortPlot = showTPLevels and shortCondition ? tp2Short : na
// EMAs
plot(fastEMA, "Fast EMA", color=color.blue, linewidth=1)
plot(mediumEMA, "Medium EMA", color=color.yellow, linewidth=1)
plot(slowEMA, "Slow EMA", color=color.red, linewidth=1)
// Сигналы
plotshape(longCondition, "Long", shape.triangleup, location.belowbar, color.green, size=size.small)
plotshape(shortCondition, "Short", shape.triangledown, location.abovebar, color.red, size=size.small)
// Стоп-лоссы и тейки
plot(longSL, "Long SL", color=color.red, style=plot.style_circles)
plot(shortSL, "Short SL", color=color.red, style=plot.style_circles)
plot(tp1LongPlot, "TP1 Long", color=color.green, style=plot.style_circles)
plot(tp2LongPlot, "TP2 Long", color=color.green, style=plot.style_circles)
plot(tp1ShortPlot, "TP1 Short", color=color.red, style=plot.style_circles)
plot(tp2ShortPlot, "TP2 Short", color=color.red, style=plot.style_circles)
// === АЛЕРТЫ ===
alertcondition(longCondition, "Long Signal", "LONG - Вход на повышение!")
alertcondition(shortCondition, "Short Signal", "SHORT - Вход на понижение!")
Indicador CME - DOLAR BRLConversão do Dólar em Real pelo CME. Normalmente o gráfico do CME é Dólar/Real. Com esse indicador é possível inverter e obter o valor do real em dólar.
Santa Clause Rally 🎅A Santa Claus rally is a calendar effect that involves a rise in stock prices during the last 5 trading days in December and the first 2 trading days in the following January.
The Santa Claus rally can potentially predict the future trend of stocks in the coming year.
Merry Christmas and Happy New Year 🎄🎄🎄
SMA Crossover Bot for Bybit //@version=5
indicator("SMA Crossover Bot for Bybit", overlay=true)
// Ввод параметров
sma5_length = input(5, "Длина SMA5")
sma20_length = input(20, "Длина SMA20")
// Вычисление скользящих средних
sma5 = ta.sma(close, sma5_length)
sma20 = ta.sma(close, sma20_length)
// Сигналы пересечения
buy_signal = ta.crossover(sma5, sma20) // SMA5 пересекает SMA20 снизу вверх
sell_signal = ta.crossunder(sma5, sma20) // SMA5 пересекает SMA20 сверху вниз
// Отправка сигнала через Webhook
if (buy_signal)
alert("BUY_SIGNAL", alert.freq_once_per_bar_close)
if (sell_signal)
alert("SELL_SIGNAL", alert.freq_once_per_bar_close)
// Отображение на графике
plot(sma5, color=color.green, title="SMA5")
plot(sma20, color=color.red, title="SMA20")
plotshape(buy_signal, style=shape.labelup, location=location.belowbar, color=color.green, text="BUY")
plotshape(sell_signal, style=shape.labeldown, location=location.abovebar, color=color.red, text="SELL")
Rango de 5% y RSI - Señales de Compra/VentaEl indicador da señales de compra cuando la vela tiene un rango de 5% o superior y el RSI está sobrecomprado en gráfico de 4h o superior (y viceversa con las ventas).
Phase Cross Strategy with Zone### Introduction to the Strategy
Welcome to the **Phase Cross Strategy with Zone and EMA Analysis**. This strategy is designed to help traders identify potential buy and sell opportunities based on the crossover of smoothed oscillators (referred to as "phases") and exponential moving averages (EMAs). By combining these two methods, the strategy offers a versatile tool for both trend-following and short-term trading setups.
### Key Features
1. **Phase Cross Signals**:
- The strategy uses two smoothed oscillators:
- **Leading Phase**: A simple moving average (SMA) with an upward offset.
- **Lagging Phase**: An exponential moving average (EMA) with a downward offset.
- Buy and sell signals are generated when these phases cross over or under each other, visually represented on the chart with green (buy) and red (sell) labels.
2. **Phase Zone Visualization**:
- The area between the two phases is filled with a green or red zone, indicating bullish or bearish conditions:
- Green zone: Leading phase is above the lagging phase (potential uptrend).
- Red zone: Leading phase is below the lagging phase (potential downtrend).
3. **EMA Analysis**:
- Includes five commonly used EMAs (13, 26, 50, 100, and 200) for additional trend analysis.
- Crossovers of the EMA 13 and EMA 26 act as secondary buy/sell signals to confirm or enhance the phase-based signals.
4. **Customizable Parameters**:
- You can adjust the smoothing length, source (price data), and offset to fine-tune the strategy for your preferred trading style.
### What to Pay Attention To
1. **Phases and Zones**:
- Use the green/red phase zone as an overall trend guide.
- Avoid taking trades when the phases are too close or choppy, as it may indicate a ranging market.
2. **EMA Trends**:
- Align your trades with the longer-term trend shown by the EMAs. For example:
- In an uptrend (price above EMA 50 or EMA 200), prioritize buy signals.
- In a downtrend (price below EMA 50 or EMA 200), prioritize sell signals.
3. **Signal Confirmation**:
- Consider combining phase cross signals with EMA crossovers for higher-confidence trades.
- Look for confluence between the phase signals and EMA trends.
4. **Risk Management**:
- Always set stop-loss and take-profit levels to manage risk.
- Use the phase and EMA zones to estimate potential support/resistance areas for exits.
5. **Whipsaws and False Signals**:
- Be cautious in low-volatility or sideways markets, as the strategy may generate false signals.
- Use additional indicators or filters to avoid entering trades during unclear market conditions.
### How to Use
1. Add the strategy to your chart in TradingView.
2. Adjust the input settings (e.g., smoothing length, offsets) to suit your trading preferences.
3. Enable the strategy tester to evaluate its performance on historical data.
4. Combine the signals with your own analysis and risk management plan for best results.
This strategy is a versatile tool, but like any trading method, it requires proper understanding and discretion. Always backtest thoroughly and trade with discipline. Let me know if you need further assistance or adjustments to the strategy!
Fibonacci Trading Strategy (Auto Levels)How It Works
Swing Highs and Lows Detection:
The script identifies the highest high and lowest low over a specified lookback period (default: 50 candles). These points are used as the basis for Fibonacci calculations.
Fibonacci Levels:
Fibonacci retracement levels: 0%, 38.2%, 50%, 61.8%, 78.6%, and 100%.
Fibonacci extension levels: 127.2%, 161.8%, 200%, 261.8%, and 361.8%.
Each level is plotted on the chart with a specific color and labeled with the corresponding price.
Entry Zones:
Pullback Area: Between the 50% and 61.8% retracement levels. This area is highlighted in green, indicating a potential entry for conservative traders.
Full Margin Area: Between the 61.8% and 78.6% retracement levels. This area is highlighted in red, suggesting a higher-risk entry for aggressive traders.
Stop Loss (SL):
The Stop Loss is placed at the 78.6% Fibonacci retracement level. A dotted red line is drawn at this level to provide a visual reference for risk management.
Entry labels include the Stop Loss price for clarity.
Take Profit (TP) Levels:
Multiple take-profit targets are identified using Fibonacci extension levels (127.2%, 161.8%, 200%, 261.8%, and 361.8%).
Each level is labeled with the price and target percentage.
Visual Aids:
The script dynamically labels each Fibonacci level with its corresponding price.
Entry points (Pullback and Full Margin) are marked with clear labels, including the recommended Stop Loss.
Background highlights help distinguish the Pullback and Full Margin areas.
Strategy Highlights
Risk Management:
Incorporates a well-defined Stop Loss at the 78.6% level to limit downside risk.
Multiple take-profit levels help traders scale out of positions gradually.
Automation:
Automatically recalculates levels when new swing highs or lows are detected, ensuring accuracy in dynamic markets.
Customizability:
Users can adjust the lookback period to suit different timeframes or trading styles.
Clarity:
Clean visuals and detailed labels ensure the strategy is easy to interpret and apply.
When to Use
The strategy is suitable for trend-following traders looking to enter during pullbacks in an established trend.
It works best in trending markets where Fibonacci levels often act as strong support or resistance.
Example Scenario
Bullish Setup:
Price retraces to the 50%-61.8% area (Pullback Area) after a swing high.
A buy order is placed in this zone, with the Stop Loss at the 78.6% level.
Profit targets are set at the 127.2%, 161.8%, and higher Fibonacci extensions.
Bearish Setup:
In a downtrend, price retraces upward to the 50%-61.8% zone.
A sell order is placed, with the Stop Loss at the 78.6% level and take-profit levels below.
K7equity: Support/Resistance Zones + Future Projection (30 Days)⚙️ **Getting Started**: Open a TradingView chart, head to your Pine Editor, and add this script. In the script’s settings, specify how many days to look back (for historical zones) and how many days to project forward. Adjust the ATR values and multipliers to fine-tune how volatile the script considers the market to be—and watch those support/resistance boxes update!
⚡ **Your Custom Range**: Enter your personal resistance and support prices in the designated fields if you want to track a specific trade. The script will draw two bold lines—one red (resistance), one green (support)—giving you an at-a-glance view of whether you’re within your chosen zone or drifting outside of it.
🔔 **Alerts and Monitoring**: Once your lines are set, jump to the TradingView “Alerts” panel, create a new alert, and pick from the script’s dropdown conditions (e.g., “Price Broke User Resist”). That way, you’ll be instantly notified if price pops above your desired resistance or slides below support—perfect for active risk management and timely decision-making. Have fun experimenting, and remember: always DYOR (do your own research)!
Crypto Trading Zone Yearly Pivots### **Description: Yearly Pivots Indicator**
The **Yearly Pivots Indicator (YP)** is a powerful tool that plots key pivot levels based on the high, low, and close prices from the previous year. These levels act as significant support and resistance points that can help traders anticipate price reactions, reversals, or breakout opportunities throughout the current trading year.
The indicator also includes additional support (S1 to S5) and resistance (R1 to R5) levels, as well as the Central Pivot Range (CPR), which helps traders identify potential price consolidation and trend direction. The option to display the previous year’s open, high, low, and close (OHLC) further strengthens the analysis of historical price zones.
---
### **How to Trade with the Yearly Pivots Indicator**
#### **1. Understanding the Key Levels:**
- **Pivot Point (P)**: The primary level that acts as the central reference for price action. When the price is above this level, the sentiment is considered bullish; when below, it is bearish.
- **Support Levels (S1 to S5)**: Levels below the pivot that may act as potential zones where the price could bounce back up.
- **Resistance Levels (R1 to R5)**: Levels above the pivot that may act as potential zones where the price could face selling pressure.
- **Central Pivot Range (CPR)**: A key area that helps traders identify potential consolidations and breakout zones. When the price moves above or below the CPR, it can signal a stronger trending move.
---
### **Trading Strategies Using Yearly Pivots**
#### **1. Breakout Strategy:**
- **Bullish Breakout:**
- When the price breaks above the **R1** level with strong momentum, it often signals further upside.
- Entry: After a confirmed break and close above **R1**.
- Stop-loss: Below the pivot point or the nearest support.
- Target: Next resistance level (**R2**, **R3**, etc.).
- **Bearish Breakout:**
- When the price breaks below the **S1** level with strong momentum, it indicates potential downside.
- Entry: After a confirmed break and close below **S1**.
- Stop-loss: Above the pivot point or the nearest resistance.
- Target: Next support level (**S2**, **S3**, etc.).
---
#### **2. Reversal Strategy:**
- **Bullish Reversal:**
- When the price approaches a **support level (S1 to S3)** and shows a bullish candlestick pattern or strong buying pressure, it can indicate a reversal.
- Entry: Upon a confirmed bounce at the support level.
- Stop-loss: Below the lowest point of the rejection.
- Target: Pivot point or next resistance level.
- **Bearish Reversal:**
- When the price approaches a **resistance level (R1 to R3)** and shows a bearish candlestick pattern or rejection, it can indicate a reversal.
- Entry: Upon a confirmed rejection at the resistance level.
- Stop-loss: Above the highest point of the rejection.
- Target: Pivot point or next support level.
---
#### **3. CPR-Based Trend Trading:**
- When the price stays above the **CPR** for an extended period, it suggests a bullish trend.
- When the price stays below the **CPR**, it suggests a bearish trend.
- **Entry Signal**: Enter trades in the direction of the breakout when the price breaks above or below the CPR after a consolidation period.
- **Stop-Loss**: Place the stop-loss just inside the CPR range.
---
### **Additional Tips for Trading with Yearly Pivots:**
1. **Volume Confirmation**: Use volume indicators to confirm breakout and reversal signals.
2. **Confluence with Other Levels**: Combine pivot levels with support/resistance lines, moving averages, or Fibonacci retracements for stronger trade signals.
3. **Avoid Low Volatility Periods**: Pivots work best in active markets. Avoid trading during low-volume sessions, as false breakouts are more likely.
---
### **Conclusion:**
The **Yearly Pivots Indicator** provides traders with a robust framework for identifying key market levels and anticipating price movements. Whether you prefer breakout trades or reversals, the indicator's pivot, support, resistance, and CPR levels help you navigate the markets with greater confidence. Be sure to incorporate proper risk management and wait for confirmation before entering trades to maximize the effectiveness of this tool.
BB/A&S/FIBAL ŞARTI; ilk mum açılış fiyatı bolinger alt bandın üstünde kapanış fiyatı bolinger alt bandın altında olacak, sonraki iki mum içinde fiyat bu kırmızı mumun fibonacci 50 seviyesinin üstünde kapandığında al sinyali kabul edilir.
SAT ŞARTI; ilk mum açılış fiyatı bolinger üst bandın altında, kapanış fiyatı bolinger üst bandın üstünde olacak, sonraki 2 mum içinde fiyat ilk mumun fibonacci50 seviyesinin altında kapatınca sat sinyali kabul edilir.
bu sinyaller tek başlarına yeterli kabul edilmemeli, sinyali destekleyen başka indikatörler ile sinyal güçlendirilmelidir.
örneğin RSI indikatörü, mum formasyonları ya da sizin çizdiğiniz destek ve direnç çizgileri.
Ben bu zamana kadar internetteki halka açık her türlü ücretsiz bilgilendirmelerden çok faydalandım, bu kodlamayı da faydalandığım halka açık ücretsiz bilgileri yayınlayanlara bir teşekkür mahiyetinde herkesin kullanımına sunuyorum.
Range of volume indicator (ROV)Range of volume indicator is made to calculate average value of daily, weekly and previous weekly candles
It's usage involves the crossovers we believe that previous weekly average should move downward and daily and weekly ROV should move upward to make entry
It's best time is 30 minutes time frame however it could be used on daily and weekly charts as well
Average = (High+low+bottom)/3
WD Gann TargetsThis indicator plots all the possible target levels in accordance with the WD Gann calculations you have to apply the zigzag indicator first and input any bottom of the price
You can change the target levels any from 1 to 100
These all calculations have been made according to the Gann levels
(Riaz Mirza from Pakistan)
PreMarket_Estimator Portfolio [n_dot]AMEX:SOXL ; NASDAQ:TQQQ ; AMEX:FNGU ; AMEX:SOXS ; NASDAQ:SQQQ ; AMEX:FNGD
Strategy Core Idea:
I focus on stocks that are expected to show significant price movements (gaps) during the premarket, usually due to news or earnings reports. I record the highest price formed during the premarket, and if the price exceeds this level after the market opens, I go LONG. Based on my experience, it’s advisable to exit after a few percentage points of increase, as the premarket boom often corrects itself.
Usage:
The indicator is best used in pairs: Pre_Market_Estimator Single and Pre_Market_Estimator Portfolio.
In this portfolio version, you can set up 6 different instruments, which are displayed stacked vertically on the screen, while the single version monitors only one instrument. The portfolio does not plot charts at the actual price levels but offsets them vertically, displaying the current prices in a label at the end of each chart.
Settings:
Time point 1: Start of the observation period.
Time point 2: End of the observation period / Start of the trading period.
GAP: is used to adjust the distance between the charts displayed in the portfolio view. This allows you to customize the spacing for better readability and visualization of the monitored instruments.
Usage:
Set the timeframe period to "1m".
Set Time point 1 to the start of the premarket session on the current day (e.g., NYSE: 9:00).
Set Time point 2 to the market open (e.g., NYSE: 9:30).
The indicator monitors the highest price during the premarket period, marking it with a blue line.
During the subsequent trading period, if the price exceeds the premarket high, it generates a buy signal marked with a blue plus sign.
Limitations:
The premarket prediction typically provides actionable signals during the first 30 minutes to 1 hour of the trading session. After this, the trend is usually driven by daily market events or news.
To reduce data usage, the portfolio version of the indicator (which monitors 6 instruments simultaneously) only loads the last 24 hours of data (60 * 24 minutes). After this, the chart stops providing signals, and the time points need to be reset.
Additional Use Cases:
This type of breakout monitoring is not only suitable for observing premarket events but can also provide relevant information before major announcements.
For example, in the case of central bank rate hikes:
Set Point 1 to 1 hour before the announcement.
Set Point 2 to the time of the announcement.
I hope this contributes to your success!
Detecting Sideways Market or Strong Trends| Copy Trade Tungdubai**Tool Description**:
The **"Detecting Sideways Market or Strong Trends | Copy Trade Tungdubai"** tool is designed to help traders identify two key market conditions:
1. **Sideways Market**:
- This condition is detected when the ADX is below 20, the price stays within the Bollinger Bands, and the RSI is between 45 and 55.
- When the market is sideways, the chart background will turn yellow as a visual alert.
2. **Strong Trend Market**:
- This condition is identified when the ADX is above 25, and either the price breaks out of the Bollinger Bands or the RSI surpasses the overbought (70) or oversold (30) levels.
- When the market is in a strong trend, the chart background will turn blue as a visual alert.
**Key Components of the Tool**:
- **ADX**: Measures the strength of the market trend, with key thresholds at 20 and 25.
- **Bollinger Bands**: Helps determine volatility and checks if the price is within or outside the bands.
- **RSI**: Measures momentum, helping identify overbought and oversold levels.
**Visual Features on the Chart**:
- ADX, RSI, and Bollinger Bands are clearly plotted with their respective key thresholds for easier recognition of market conditions.
- The chart background changes color to reflect the current market condition (yellow for sideways, blue for strong trends).
**Alerts**:
- Alerts are triggered when the market enters either a sideways or strong trend phase, providing notifications to help users act promptly.
This tool serves as a practical aid in recognizing market conditions, allowing traders to make informed decisions aligned with their strategies.
**Mô tả công cụ**:
Công cụ **"Detecting Sideways Market or Strong Trends | Copy Trade Tungdubai"** được thiết kế để giúp các nhà giao dịch xác định hai trạng thái chính của thị trường:
1. **Thị trường đi ngang (Sideways)**:
- Điều kiện được xác định dựa trên chỉ số ADX thấp hơn ngưỡng 20, giá nằm trong dải Bollinger Bands, và chỉ số RSI dao động trong khoảng từ 45 đến 55.
- Khi thị trường đi ngang, nền của biểu đồ sẽ chuyển sang màu vàng để cảnh báo trực quan.
2. **Thị trường bùng nổ sóng mạnh (Strong Trend)**:
- Điều kiện được xác định khi ADX vượt qua ngưỡng 25 và giá phá vỡ dải Bollinger Bands (hoặc) chỉ số RSI vượt ngưỡng quá mua 70 hoặc quá bán 30.
- Khi thị trường bùng nổ sóng mạnh, nền biểu đồ sẽ chuyển sang màu xanh để cảnh báo trực quan.
**Các thành phần chính của công cụ**:
- **ADX**: Được sử dụng để đo sức mạnh xu hướng thị trường, với các ngưỡng quan trọng là 20 và 25.
- **Bollinger Bands**: Được sử dụng để xác định mức độ biến động và kiểm tra giá nằm trong hay ngoài dải.
- **RSI**: Dùng để đo mức độ quá mua/quá bán, xác định động lượng giá.
**Hiển thị trên biểu đồ**:
- Các đường ADX, RSI, và Bollinger Bands được vẽ rõ ràng, cùng với các ngưỡng quan trọng (hỗ trợ nhận biết trạng thái thị trường).
- Nền biểu đồ thay đổi màu sắc tương ứng với điều kiện thị trường.
**Cảnh báo**:
- Cảnh báo sẽ được kích hoạt khi thị trường rơi vào trạng thái đi ngang hoặc bùng nổ sóng mạnh, với các thông báo giúp người dùng hành động kịp thời.
Công cụ này là một trợ thủ hữu ích trong việc nhận biết trạng thái thị trường, từ đó giúp các nhà giao dịch đưa ra quyết định phù hợp với chiến lược của mình.
Dynamic Market ScannerDynamic Market Scanner is a powerful tool for analyzing financial markets, combining a variety of indicators to provide clear and understandable signals.
Key Features:
- Signal Generation:
The main signals "Buy", "Sell", and "Hold" are formed based on the analysis of indicators:
- MACD
- RSI
- SMA
- EMA
- WMA
- Hull MA
Additional Analytical Tools:
- ATR is used to assess volatility and helps to understand the risk of the current market situation.
- SMA Ichimoku does not generate signals but is used to assess their accuracy.
- If the price is above the SMA, "Buy" signals are more likely, as this confirms the strength of the upward movement.
- If the price is below the SMA, "Buy" signals require additional confirmations.
Dashboard:
Displays the current price position relative to the indicators, helping the trader understand how strong or weak the current signals are.
Advantages of Using:
1. Signal Filtering:
The price position relative to the SMA Ichimoku helps to assess the likelihood of successful trades.
2. Volatility Analysis:
ATR provides additional information about risks and market fluctuations.
3. Comprehensive Approach:
Signal generation is based on a combination of key indicators, offering a multifaceted view of the market.
Explanation of Percent Calculation in the Table:
- The table shows the values of indicators such as MACD, ATR, EMA, SMA, WMA, and Hull MA in percentages. Percentages are calculated based on the current value of the indicator relative to its maximum and minimum.
- Percentages are displayed for each indicator, allowing traders to assess market conditions based on their current values.
Dynamic Market Scanner will become a reliable assistant in your technical analysis toolkit, providing a comprehensive overview of market conditions and helping to make informed trading decisions.
