Ichimoku Entry & Exit Pointsاین اندیکاتور نقاط ورود خروج هم به صورت حد سود و هم به صورت حد ضرر را مشخص می کند
Penunjuk dan strategi
Volume Divergence Lookback IndicatorDescription : The (VDLI 👑) is a tool designed to analyze volume divergences relative to specific lookback periods, helping identify potential trend changes in the markets. this indicator adapts to different timeframes and allow users to customize lookback and calibration parameters for optimized insights into volume and price dynamics.
[Sapphire] JetStream (SWMA + Laguerre Filter)A Dynamic Fusion of Sine Weighted Moving Average and Laguerre Filter
The JetStream Indicator is a versatile tool that combines the Sine Weighted Moving Average (SWMA) and the Laguerre Filter. This can be used to dynamically visualize price movements overtime.
Core Components:
Sine Weighted Moving Average (SWMA):
The SWMA applies sine-weighted coefficients to recent price values, producing a responsive moving average that adapts to market conditions.
The plotted SWMA line changes its color based on directional movement:
Cyan: Upward trend.
Gray: Downward trend.
The sensitivity of the SWMA is controlled via the SWMA Length input, allowing users to fine-tune its responsiveness to price changes.
Laguerre Filter:
The Laguerre Filter uses recursive smoothing techniques to extract meaningful trends while minimizing lag.
The filter line dynamically changes color:
Blue: Upward momentum.
White: Downward momentum.
The Laguerre Alpha parameter adjusts the filter's smoothing intensity, giving users control over its reaction to price fluctuations.
Bar Repainting:
The bar coloring feature adds another layer of visualization by dynamically altering bar colors based on the interaction between the SWMA and Laguerre Filter:
White: Both SWMA and Laguerre Filter are trending upward.
Teal: Both SWMA and Laguerre Filter are trending downward.
Cyan: Divergence between the two (one trending upward, the other downward).
Volume EquilibriumThe intent behind this indicator is to provide comprehensive information relating to volume compared to multiple timeframes. This indicator allows one to see what the market 'theoretically' sees as 'fair-value' whilst also allowing one to gauge where the price of a stock is headed.
Volume Equilibrium
The main indicator finds the difference between buying volume and selling volume, under the basic presumption that more buying volume indicates greater bullish sentiment and vice versa.
Buying Volume = volume when close price is higher than open price.
Selling Volume = volume when close price is lower than open price.
Volume Balance = Cumulative Buying Volume − Cumulative Selling Volume
Volume Balance is then expressed as a percentage by dividing by total volume
This indicator is composed of three different lengths of the same indicator. Short, Mid, and Long term representations of Volume Equilibrium. The difference between the mid and long term are highlighted so to make it easy to see where volume is going relative to a longer time frame.
HOW TO USE:
At 0 ---> Equilibrium ---> Equal Buying/Selling Volume
Above 0 ---> More buying Volume
Below 0 ---> More selling Volume
Using theory, it is assumed that the price is at a 'fair-value' when the buying/selling volume is at 0. This is of course relative to the respective timeframe of your choosing. More weight given to larger timeframes.
Volume Histogram
It is a basic volume chart that represents the total volume though has highlighted bars so to indicate buying(green) and selling(red) volume. This allows one to see what the indicator is based off of.
Open-Close Oscillator(not needed)
Calculates the average open-close for a selected timeframe and then provides the current closing price relative to that average open-close. Very simply put, values below 0 indicate bearish and values above 0 generally indicate bullishness. This indicator is for a quick reference of price action relative to volume.
Another way to use this indicator, though unique, is to analyze the separate open-close lines themselves. Using the open-close bands, bullishness is defined as increasing closing prices and bearish as decreasing closing prices. So, in regard to this indicator, bear sessions can be indicated by the opening line being below the closing line and bull sessions as the opening line being above. Use the 'flip' of these lines to your advantage, they are very helpful at capturing long continuous sentiment.
This indicator is composed of great information though I still think it best to use many different indicators to help you with your trades.
NOTE: Be aware of what we are trying to analyze, Volume. This means that one should also look out for divergences to capture early indications of reversals. This indicator can be leveraged greatly.
Support and Resistance (1 Hour)//@version=5
indicator("Support and Resistance (1 Hour)", overlay=true)
// Define the period for support and resistance (in this case, 50 bars)
length = input.int(50, title="Lookback Period", minval=1)
// Calculate the highest high and lowest low over the lookback period
highestHigh = ta.highest(high, length)
lowestLow = ta.lowest(low, length)
// Plot the support and resistance lines on the chart
plot(highestHigh, title="Resistance", color=color.red, linewidth=2)
plot(lowestLow, title="Support", color=color.green, linewidth=2)
// Add background shading to highlight areas near support and resistance
bgcolor(close >= highestHigh ? color.new(color.red, 90) : na)
bgcolor(close <= lowestLow ? color.new(color.green, 90) : na)
// Display the values of the support and resistance levels
plotchar(highestHigh, title="Resistance Value", location=location.top, color=color.red, offset=-1)
plotchar(lowestLow, title="Support Value", location=location.bottom, color=color.green, offset=-1)
Breakout StrategyThe strategy aims to capture upward price movements (breakouts) by observing when the price exceeds a predefined range, known as the Donchian Channel, while also ensuring trading volume supports the move.
When Does It Open a Long Trade?
The strategy opens a long trade (buy position) when both of these conditions are met:
1. Price Breaks Above the Upper Band
- The current closing price is higher than the Upper Band of the Donchian Channel.
- This indicates a potential breakout, signaling upward momentum.
2. High Volume Confirmation
- The current trading volume is greater than 1.9 times the average volume over the Donchian Channel's length.
- This ensures the breakout is backed by significant market activity, reducing the chance of false signals.
Only when both conditions are true, the strategy will execute a long entry.
When Does It Close the Trade?
The strategy closes the long trade (exits the position) when:
1. Price Falls Below the Middle Band
- The closing price drops below the Middle Band of the Donchian Channel.
- This acts as a reversal signal, suggesting the upward momentum has weakened, and it’s time to exit the trade.
흑트2 시그널Signal Description
This strategy utilizes double golden crosses and dead crosses of the MACD (Moving Average Convergence Divergence). When a second golden cross or dead cross meeting the specified conditions occurs, a signal is generated.
Long Position
1. The MACD must form two golden crosses below the zero line.
2. The first golden cross must be lower than the second golden cross.
Short Position
1. The MACD must form two dead crosses above the zero line.
2. The first dead cross must be higher than the second dead cross.
Position Entry
* after confirming a signal, wait for confirmation, such as breaking a resistance level in the desired direction on the observed timeframe.
* Enter the position at the breakout point when such confirmation occurs.
Filtering Options
To reduce noise, several filtering functions have been added. Further research may be needed.
1. Minimum Bar Count Between Golden/Dead Crosses (default = 5):
* Sets the minimum number of bars between crosses to ignore signals in sideways markets with frequent crosses due to small fluctuations.
2. Maximum Bar Count Between Golden/Dead Crosses (default = 30):
* Considers crosses too far apart as noise and ignores them.
3. Percentage Change Between Golden/Dead Crosses (default = 1%):
* Filters out signals where the percentage difference between the first and second cross is too small, considering them as noise.
4. Candle Close Comparison:
* When a golden cross occurs, the price should be declining.
* When a dead cross occurs, the price should be rising.
* In other words, filters signals to only consider MACD divergence.
5. RSI Filter:
* Displays long/short signals only when the RSI is above (or below) a specified level.
시그널 설명
맥디(macd)의 더블 골든크로스와 데드크로스를 활용한 기법. 조건에 맞는 두번재 데드크로스나 골든 크로스가 발생하였을때 두번째 골크나 데크에서 시그널 발생.
롱
macd가 제로라인 아래에서 골크를 두번생성.
첫번째 골크가 두번째 골크보다 아래에 있어야 함.
숏
macd가 제로라인 위에서 데드를 두번생성.
첫번째 데크가 두번째 데크보다 위에 있어야 함.
포지션 진입.
시그널이 발생하고 원하는 방향으로의 보는 시간프레임에서의 저항을 돌파하는 흐름이 나올때 돌파지점에서 포지션 진입.
필터링 : 노이즈 제거용으로 몇가지 필터링 기능을 추가함. 더 연구가 필요.
1. 골크/데크사이 최소바 개수(default=5) : 골크/데크간 최소 바의 개수로 횡보구간에서 작은 변동성으로 너무 잦은 골크/데크 발생하는 것을 무시하기 위한 옵션.
2. 골크/데크사이 최대바 개수(default=30): 골크/데크간 간격이 너무 넓은 것은 노이즈 간주하기 위한 옵션.
3. 골크/데크간 변화(%)(default=1) : 첫번째 골크(또는 데크)와 두번째 골크와의 변화율이 너무 적은 경우 노이즈로 간주 필터링 할수 있는 옵션.
4. 봉마감 비교: 골드가 발생하였을때 가격은 하락, 데크가 발생하였을때 가격은 상승. 즉 macd다이버전스 일때만 필터링
5. RSI filter : rsi 가 지정된 가격 이상(또는 이하)일때만 롱/숏 시그널 표시.
4th Day Performance After 3 Down DaysThis Pine Script indicator analyzes market performance on the 4th day following 3 consecutive down days. It identifies when the close price is lower than the open for three consecutive days and calculates the price change from the 3rd day's close to the 4th day's close.
Key features include:
Entry and Exit Tracking: The script records the entry price (3rd day's close) and the exit price (4th day's close).
Performance Metrics: The script calculates and displays:
Total Profit/Loss (PnL) over all trades.
Total number of trades.
Count of positive and negative 4th-day outcomes.
Customizable Start Date: The user can set a start date to analyze historical data.
Interactive Table: A table on the chart displays all key metrics for easy reference.
Use Case:
This script is useful for traders and analysts who want to study historical patterns and determine if the 4th day's performance presents opportunities following three consecutive down days. It helps identify potential reversal or continuation patterns in market behavior.
Disclaimer:
This script is for educational and research purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always conduct thorough analysis and consult a professional before trading.
Advanced Price Action Dashboard🚀 Advanced Price Action Dashboard
Welcome to the Advanced Price Action Dashboard, a powerful tool that helps you analyze market behavior clearly and visually in real-time. This table displays key price action signals, volume analysis, RSI, and other indicators to help you make informed decisions. Let’s break it down!
🛠️ What does this indicator do?
This indicator is a dashboard of signals that shows you various market factors such as:
Reversal Signals 🌀
Continuation Signals 🔁
RSI Analysis 📊
Volume Conditions 📈
Support and Resistance on a Higher Timeframe 🏔️
📅 Table Components
📝 Indicator Title:
"Advanced Price Action Dashboard" is the title at the top of the table. It's your go-to table to see market analysis at a glance.
📈 Reversal Signals Section:
Bullish Reversal: Indicates a potential change from a downtrend to an uptrend. A ✅ means the condition is met, and ❌ means it’s not.
Bearish Reversal: Indicates a potential change from an uptrend to a downtrend. A ✅ means the condition is met, and ❌ means it’s not.
🔄 Continuation Signals Section:
Bullish Continuation: Indicates the uptrend may continue. A ✅ means the condition is met, and ❌ means it’s not.
Bearish Continuation: Indicates the downtrend may continue. A ✅ means the condition is met, and ❌ means it’s not.
📊 RSI Conditions Section:
RSI (Relative Strength Index): Shows the current RSI value. If RSI is above 70 (overbought), it’s marked in red, and if it’s below 30 (oversold), it’s marked in green.
📊 Volume Conditions:
Volume Spike: If the current volume is significantly higher than the average, it’s marked with a ✅, indicating a potential trend change.
🔒 Support and Resistance on a Higher Timeframe:
Near Higher TF Resistance: Indicates if the price is near a resistance zone on a higher timeframe chart. It’s marked in red.
Near Higher TF Support: Indicates if the price is near a support zone on a higher timeframe chart. It’s marked in green.
🏅 Trend Direction:
Trend Direction: If the price is above the moving average (MA), it’s marked "Bullish" in green; if it’s below, it’s marked "Bearish" in red.
🔥 Large Body Candle:
Large Body Candle: Shows if the current candle has a large body, which could indicate a strong price movement.
🔍 How to Use This Indicator
Quick Setup:
This indicator is ready to use as soon as you add it to your TradingView chart. No complex configurations are needed.
Interpret the Signals:
The table checkboxes will clearly show whether reversal or continuation signals are present, and if the volume or RSI conditions are met.
Actions to Take:
If you see a ✅ in Bullish Reversal and RSI Oversold (RSI < 30), you might consider a buy.
If you see a ✅ in Bearish Reversal and RSI Overbought (RSI > 70), you might consider a sell.
Continuation signals help you identify if a trend is ongoing and may continue.
📈 Visual Overview of the Table
The Dashboard is displayed at the top right of your chart so you can see all the relevant information without losing sight of the price in real-time.
Colors: The table’s colors help you quickly identify the current market condition:
✅ = Condition met (good signal).
❌ = Condition not met (avoid action).
Green = Bullish, good time to buy.
Red = Bearish, good time to sell.
Blue and Gray to highlight trend and volume analysis.
🛠️ Customization
You can adjust the settings according to your preferences:
Moving Average (MA) length 🧮
Volume multiplier 📊
RSI (with adjustable overbought and oversold levels) 📉
Multi-timeframe analysis 🕒
🏁 Conclusion
The Advanced Price Action Dashboard is a great tool for traders who want a quick and efficient market analysis. With clear reversal and continuation signals, volume and RSI analysis, it helps you make informed decisions while staying in tune with the market flow.
Happy trading! 🚀📈
It's About Timing_MidiHappy Trading Brader.... Waklu!!
Dont overtrade, it will blow your account
Trade santai-santai
US30 Scalping Strategy 5 min chartStrategy Overview
Timeframe: 5-minute chart
Stop Loss: Previous candle’s high/low (1 candle SL)
Take Profit: 30 pips
Indicators:
Exponential Moving Averages (EMA): 9 EMA and 21 EMA for trend direction
Relative Strength Index (RSI): For momentum confirmation
Buy/Sell Signals with Support & Resistance (15m) - MSupport and Resistance Calculation:
Pivot Points: The script calculates support and resistance based on pivot points within a lookback window (pivotLookback).
Resistance: It takes the recent pivot high and adjusts it upward using a sensitivity factor to identify potential resistance.
Support: It takes the recent pivot low and adjusts it downward using the same sensitivity factor to identify potential support.
Buy and Sell Conditions:
MACD: Generates buy signals when the MACD line crosses above the signal line and sell signals when the MACD line crosses below the signal line.
RSI: Ensures buy signals occur when RSI is below the overbought level and sell signals occur when RSI is above the oversold level.
SuperTrend: Confirms the prevailing trend (uptrend for buy signals and downtrend for sell signals).
Plotting:
Support and Resistance Levels: These levels are plotted on the chart as horizontal lines, with resistance in red and support in green.
Buy and Sell Signals: Labels ("BUY" or "SELL") are plotted on the chart based on the conditions.
Bar Color: Bars are colored green for buy signals and red for sell signals.
Monthly Vertical Lines//@version=5
indicator("Monthly Vertical Lines", overlay=true)
month_change = (month != month ) // Detects a new month
if month_change
line.new(x1=bar_index, y1=na, x2=bar_index, y2=na, extend=extend.both, color=color.gray, style=line.style_dotted, width=1)
Implied and Historical VolatilityAbstract
This TradingView indicator visualizes implied volatility (IV) derived from the VIX index and historical volatility (HV) computed from past price data of the S&P 500 (or any selected asset). It enables users to compare market participants' forward-looking volatility expectations (via VIX) with realized past volatility (via historical returns). Such comparisons are pivotal in identifying risk sentiment, volatility regimes, and potential mispricing in derivatives.
Functionality
Implied Volatility (IV):
The implied volatility is extracted from the VIX index, often referred to as the "fear gauge." The VIX represents the market's expectation of 30-day forward volatility, derived from options pricing on the S&P 500. Higher values of VIX indicate increased uncertainty and risk aversion (Whaley, 2000).
Historical Volatility (HV):
The historical volatility is calculated using the standard deviation of logarithmic returns over a user-defined period (default: 20 trading days). The result is annualized using a scaling factor (default: 252 trading days). Historical volatility represents the asset's past price fluctuation intensity, often used as a benchmark for realized risk (Hull, 2018).
Dynamic Background Visualization:
A dynamic background is used to highlight the relationship between IV and HV:
Yellow background: Implied volatility exceeds historical volatility, signaling elevated market expectations relative to past realized risk.
Blue background: Historical volatility exceeds implied volatility, suggesting the market might be underestimating future uncertainty.
Use Cases
Options Pricing and Trading:
The disparity between IV and HV provides insights into whether options are over- or underpriced. For example, when IV is significantly higher than HV, options traders might consider selling volatility-based derivatives to capitalize on elevated premiums (Natenberg, 1994).
Market Sentiment Analysis:
Implied volatility is often used as a proxy for market sentiment. Comparing IV to HV can help identify whether the market is overly optimistic or pessimistic about future risks.
Risk Management:
Institutional and retail investors alike use volatility measures to adjust portfolio risk exposure. Periods of high implied or historical volatility might necessitate rebalancing strategies to mitigate potential drawdowns (Campbell et al., 2001).
Volatility Trading Strategies:
Traders employing volatility arbitrage can benefit from understanding the IV/HV relationship. Strategies such as "long gamma" positions (buying options when IV < HV) or "short gamma" (selling options when IV > HV) are directly informed by these metrics.
Scientific Basis
The indicator leverages established financial principles:
Implied Volatility: Derived from the Black-Scholes-Merton model, implied volatility reflects the market's aggregate expectation of future price fluctuations (Black & Scholes, 1973).
Historical Volatility: Computed as the realized standard deviation of asset returns, historical volatility measures the intensity of past price movements, forming the basis for risk quantification (Jorion, 2007).
Behavioral Implications: IV often deviates from HV due to behavioral biases such as risk aversion and herding, creating opportunities for arbitrage (Baker & Wurgler, 2007).
Practical Considerations
Input Flexibility: Users can modify the length of the HV calculation and the annualization factor to suit specific markets or instruments.
Market Selection: The default ticker for implied volatility is the VIX (CBOE:VIX), but other volatility indices can be substituted for assets outside the S&P 500.
Data Frequency: This indicator is most effective on daily charts, as VIX data typically updates at a daily frequency.
Limitations
Implied volatility reflects the market's consensus but does not guarantee future accuracy, as it is subject to rapid adjustments based on news or events.
Historical volatility assumes a stationary distribution of returns, which might not hold during structural breaks or crises (Engle, 1982).
References
Black, F., & Scholes, M. (1973). "The Pricing of Options and Corporate Liabilities." Journal of Political Economy, 81(3), 637-654.
Whaley, R. E. (2000). "The Investor Fear Gauge." The Journal of Portfolio Management, 26(3), 12-17.
Hull, J. C. (2018). Options, Futures, and Other Derivatives. Pearson Education.
Natenberg, S. (1994). Option Volatility and Pricing: Advanced Trading Strategies and Techniques. McGraw-Hill.
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2001). The Econometrics of Financial Markets. Princeton University Press.
Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk. McGraw-Hill.
Baker, M., & Wurgler, J. (2007). "Investor Sentiment in the Stock Market." Journal of Economic Perspectives, 21(2), 129-151.
Support and Resistance, Breakouts, and Trendlines Support and Resistance, Breakouts, and Trendlines. this indicator is not to be solely used, it should be used with other indicators and technical analysis.
Wick Strategy AnalyzerOverview
This indicator analyzes candle wick patterns and evaluates their outcomes over a user-definable range (default is 1 year). Labels are rendered on the chart to mark events that meet the specified wick condition.
Features
Customizable Bar Range - users can specify the range of bars to include in the analysis. Default is 365 bars back from the most recent bar (bar 0)
Visual Indicators - labels are rendered to mark conditions & outcomes.
Wick Condition Met - an Orange label below the wick candle displaying the wick’s percentage size.
Outcome Labels - rendered above the candle after wick condition met candles
P (Green): Pass
F (Red): Fail
N (Navy): Neutral
I (Blue): Indicates the current candle has not yet closed, so the outcome is undetermined.
Input Parameters
Wick Threshold - minimum wick size required to qualify as a wick condition.
Success Margin - Defines the margin for classifying outcomes as Pass, Fail, or Neutral. E.g., a success margin of 0.01 requires the next candle's close to exceed the wick candle's close by 1% in order to be a Pass.
Bar Offset Start - starting offset from the last bar for analysis. A value of -1 will include all bars.
Bar Offset End - ending offset from the last bar for analysis. Bars outside this range are excluded.
Example Scenario
Goal: Analyze how candles with a wick size of at least 3.5% perform within a success margin of 1% over the past 540 days.
Setup:
Set Wick Threshold to 0.035
Set Success Margin to 0.01
Set Bar Range Start to 0
Set Bar Range End to 540.
Expected Output
Candles with a wick of at least 3.5% are labeled.
Outcome labels (P, F, or N) indicate performance.
APMI - MACD - Support/ResistanceThe Professional Adaptive Precision Master Indicator (APMI) is a powerful tool designed to help traders identify trends, support/resistance levels, and generate buy/sell signals. It combines the MACD, ATR, and 200 EMA with dynamic support/resistance levels to provide a clear and intuitive trading setup.
Key Features
MACD between Support/Resistance:
The MACD is scaled to fit between the support and resistance levels, making it easier to interpret in the context of price action.
Support and Resistance Levels:
Dynamic support and resistance levels are calculated based on the lowest and highest prices over a user-defined period.
Trend Filter (200 EMA):
A 200 EMA is used to filter trades in the direction of the trend.
Buy/Sell Signals:
Signals are generated based on MACD crossovers, trend direction, and price position relative to the 200 EMA.
ATR for Volatility:
The ATR is used to measure market volatility and is displayed in the signal labels.
How to Use
Add the Indicator:
Apply the indicator to your chart in TradingView.
Adjust Parameters:
Customize the inputs (e.g., ATR Length, MACD Fast/Slow Length, Support/Resistance Length) to suit your trading style.
Interpret the Signals:
Buy Signals: Green labels below the price indicate a potential buy opportunity.
Sell Signals: Red labels above the price indicate a potential sell opportunity.
Monitor Support/Resistance:
Use the blue (support) and red (resistance) lines to identify key price levels.
Trend Filter:
Trades should align with the direction of the 200 EMA (green background for uptrend, red for downtrend).
Suggestions for Improvement
Combine the indicator with other tools like Fibonacci retracements or volume analysis for additional confirmation.
Use higher timeframes (e.g., daily or weekly) for trend analysis to filter out noise.
3 Moving Averages by Manju3 Moving averages (EMA) for tracking prices with color coding. Please adjust EMAs for your preferences. I have aligned lower EMA close to price tracking.
High Low Markers v1Retrieves the previous day’s high using request.security(...), so it works on any timeframe, even intraday.
Creates a single label (stored in a var variable) at that previous day high.
Places the text on the right of the anchor point by using label.style_label_right.
Updates the label’s position each bar (or only on a new day, if desired) so it always reflects the most recent previous day’s high.
Non-Lagging Indicator: EMA + TSI BY UTTAM PARAMANIK//@version=5
indicator("Non-Lagging Indicator: EMA + TSI", overlay=true)
// Parameters for the EMA
fastLength = input.int(9, title="Fast EMA Period", minval=1)
slowLength = input.int(21, title="Slow EMA Period", minval=1)
// Parameters for the TSI
tsiFastLength = input.int(13, title="TSI Fast Length", minval=1)
tsiSlowLength = input.int(25, title="TSI Slow Length", minval=1)
tsiSignalLength = input.int(7, title="TSI Signal Length", minval=1)
// EMA Calculation
fastEMA = ta.ema(close, fastLength)
slowEMA = ta.ema(close, slowLength)
// TSI Calculation
delta = close - close
doubleSmoothDelta = ta.ema(ta.ema(delta, tsiFastLength), tsiSlowLength)
doubleSmoothAbsDelta = ta.ema(ta.ema(math.abs(delta), tsiFastLength), tsiSlowLength)
tsi = 100 * doubleSmoothDelta / doubleSmoothAbsDelta
tsiSignal = ta.ema(tsi, tsiSignalLength)
// Plot EMAs
plot(fastEMA, color=color.blue, title="Fast EMA")
plot(slowEMA, color=color.orange, title="Slow EMA")
// Plot TSI and Signal
plot(tsi, color=color.green, title="True Strength Indicator")
plot(tsiSignal, color=color.red, title="TSI Signal")
// Buy and Sell Conditions
buyCondition = ta.crossover(fastEMA, slowEMA) and ta.crossover(tsi, tsiSignal)
sellCondition = ta.crossunder(fastEMA, slowEMA) and ta.crossunder(tsi, tsiSignal)
// Plot Buy and Sell Signals
plotshape(buyCondition, color=color.green, style=shape.labelup, location=location.belowbar, text="BUY")
plotshape(sellCondition, color=color.red, style=shape.labeldown, location=location.abovebar, text="SELL")
Vitaliby MA and RSI StrategyЭта стратегия использует комбинацию скользящих средних (MA) и индекса относительной силы (RSI) для определения точек входа и выхода из позиций на 1 ч. таймфрейме. Стратегия направлена на использование трендовых сигналов от скользящих средних и подтверждение этих сигналов с помощью RSI.
