FVG & Imbalance Detector with Buy/Sell SignalsGerçeğe Uygun Değer Boşluğu (FVG) ve Dengesizlik bölgelerini tespit eder, bu bölgeleri vurgular ve fiyatların FVG seviyeleriyle etkileşimine bağlı olarak alım/satım dağıtma üretir. Başka bir ekleme veya farklı
广量指标
Pivot all in onePivot all in one !
Pivot Strength
Pivot Significance
Pivot Distance
Support / Resistance via pivots.
Follow for more, Enjoy !
Order Block Finder [RTM/ICT] by Hamid OmraniOrder Block شناسایی میشه:
اگر یه کندل، High یا Low جدید ایجاد کنه و بعدش برگشت قیمت اتفاق بیفته، اون ناحیه به عنوان Order Block در نظر گرفته میشه.
برای High Block: کندل باید یه High جدید ایجاد کنه و بعدش بستهشدن کندل پایینتر از Open باشه.
برای Low Block: کندل باید یه Low جدید ایجاد کنه و بعدش بستهشدن کندل بالاتر از Open باشه.
Order Blockها رسم میشن:
High Blockها با رنگ قرمز و Low Blockها با رنگ سبز روی چارت نمایش داده میشن.
تنظیمات:
میتونی دوره Lookback و قدرت Order Block رو تغییر بدی تا با استراتژیت هماهنگ بشه.
RSI Deviation BY DINVESTORQOverview:
This indicator analyzes the Relative Strength Index (RSI) over 252 days, calculating its mean (average) and standard deviation. Based on this, it sets an upper and lower threshold to determine overbought and oversold conditions.
Additionally, it calculates the correlation between RSI and price using a moving average, helping traders understand if RSI is moving in sync with price trends.
Key Features:
✅ RSI Deviation Bands
Upper Limit = RSI Avg + (2 × SD × 2.5)
Lower Limit = RSI Avg - (2 × SD × 2.5)
✅ Trading Signals:
Sell Signal: RSI crosses above the upper limit
Buy Signal: RSI drops below the lower limit
✅ RSI-Price Correlation Moving Average
Uses 50-day correlation between RSI and price
Helps confirm trend strength
✅ Customizable Parameters
RSI Length (Default: 252 Days)
Correlation Period (Default: 50 Days)
✅ Chart Visuals:
Plots RSI (blue), Upper Band (red), Lower Band (green)
Plots RSI-Price Correlation (orange)
Buy/Sell signals appear on chart
TradingView Indicator: RSI Deviation & Correlation Indicator
Overview:
This indicator analyzes the Relative Strength Index (RSI) over 252 days, calculating its mean (average) and standard deviation. Based on this, it sets an upper and lower threshold to determine overbought and oversold conditions.
Additionally, it calculates the correlation between RSI and price using a moving average, helping traders understand if RSI is moving in sync with price trends.
Key Features:
✅ RSI Deviation Bands
Upper Limit = RSI Avg + (2 × SD × 2.5)
Lower Limit = RSI Avg - (2 × SD × 2.5)
✅ Trading Signals:
Sell Signal: RSI crosses above the upper limit
Buy Signal: RSI drops below the lower limit
✅ RSI-Price Correlation Moving Average
Uses 50-day correlation between RSI and price
Helps confirm trend strength
✅ Customizable Parameters
RSI Length (Default: 252 Days)
Correlation Period (Default: 50 Days)
✅ Chart Visuals:
Plots RSI (blue), Upper Band (red), Lower Band (green)
Plots RSI-Price Correlation (orange)
Buy/Sell signals appear on chart
Pine Script for TradingView:
pinescript
Copy
Edit
//@version=5
indicator("RSI Deviation & Correlation Indicator", overlay=false)
// User Inputs
length = input.int(252, title="RSI Period")
corr_length = input.int(50, title="Correlation Period")
// RSI Calculation
rsi_value = ta.rsi(close, length)
// Calculate Mean and Standard Deviation of RSI
rsi_avg = ta.sma(rsi_value, length)
rsi_sd = ta.stdev(rsi_value, length) * 2.5
// Define Upper and Lower Limits
upper_limit = rsi_avg + (rsi_sd * 2)
lower_limit = rsi_avg - (rsi_sd * 2)
// Buy and Sell Signals
buy_signal = rsi_value < lower_limit
sell_signal = rsi_value > upper_limit
// Correlation Moving Average between RSI and Price
rsi_price_correlation = ta.correlation(rsi_value, close, corr_length)
// Plot RSI with Bands
plot(rsi_value, title="RSI", color=color.blue)
plot(upper_limit, title="Upper Limit", color=color.red, linewidth=2)
plot(lower_limit, title="Lower Limit", color=color.green, linewidth=2)
plot(rsi_avg, title="Average RSI", color=color.gray, linewidth=2)
// Display Buy/Sell Signals on Chart
plotshape(buy_signal, location=location.bottom, color=color.green, style=shape.labelup, title="BUY Signal", size=size.small)
plotshape(sell_signal, location=location.top, color=color.red, style=shape.labeldown, title="SELL Signal", size=size.small)
// Plot Correlation Moving Average
plot(rsi_price_correlation, title="RSI-Price Correlation", color=color.orange, linewidth=2)
// Alerts for Buy/Sell
alertcondition(buy_signal, title="BUY Alert", message="RSI is below the Lower Limit - BUY Signal")
alertcondition(sell_signal, title="SELL Alert", message="RSI is above the Upper Limit - SELL Signal")
How to Use in TradingView:
1️⃣ Open TradingView and go to the Pine Editor
2️⃣ Paste the above Pine Script
3️⃣ Click Add to Chart
4️⃣ Adjust RSI Length and Correlation Period if needed
5️⃣ Buy/Sell alerts will trigger when conditions match
Trading Strategy:
📉 Sell (Short Entry) when RSI crosses above the upper limit
📈 Buy (Long Entry) when RSI drops below the lower limit
📊 Confirm trends with RSI-Price Correlation:
+1 means RSI and price are moving together
-1 means RSI and price are diverging
Final Notes:
Works best on higher timeframes (Daily, Weekly)
Helps filter overbought/oversold false signals
Can be combined with other indicators (MACD, Bollinger Bands, etc.)
EMA and SMA Crossover with RSI14 FilteringExplanation of the Script:
Indicators:
EMA 5 and SMA 10: These are the two moving averages used to determine the trend direction.
Buy signal is triggered when EMA 5 crosses above SMA 10.
Sell signal is triggered when EMA 5 crosses below SMA 10.
RSI 14: This is used to filter buy and sell signals.
Buy trades are allowed only if RSI 14 is above 60.
Sell trades are allowed only if RSI 14 is below 50.
Buy Conditions:
The strategy waits for the EMA crossover (EMA 5 crosses above SMA 10).
The strategy checks if RSI 14 is above 60 for confirmation.
If the price is below 60 on RSI 14 at the time of crossover, the strategy will wait until the price crosses above 60 on RSI 14 to initiate the buy.
Sell Conditions:
The strategy waits for the EMA crossover (EMA 5 crosses below SMA 10).
The strategy checks if RSI 14 is below 50 for confirmation.
If the price is above 50 on RSI 14 at the time of crossover, the strategy will wait until the price crosses below 50 on RSI 14 to initiate the sell.
Exit Conditions:
The Buy position is closed if the EMA crossover reverses (EMA 5 crosses below SMA 10) or RSI 14 drops below 50.
The Sell position is closed if the EMA crossover reverses (EMA 5 crosses above SMA 10) or RSI 14 rises above 60.
Plotting:
The script plots the EMA 5, SMA 10, and RSI 14 on the chart for easy visualization.
Horizontal lines are drawn at RSI 60 and RSI 50 levels for reference.
Key Features:
Price Confirmation: The strategy ensures that buy trades are only initiated if RSI 14 crosses above 60, and sell trades are only initiated if RSI 14 crosses below 50. Additionally, price action must cross these RSI levels to confirm the trade.
Reversal Exits: Positions are closed when the EMA crossover or RSI condition reverses.
Backtesting:
Paste this script into the Pine Editor on TradingView to test it with historical data.
You can adjust the EMA, SMA, and RSI lengths based on your preferences.
Let me know if you need further adjustments or clarification!
SMA + RSI + Volume + ATR StrategySMA + RSI + Volume + ATR Strategy
1. Indicators Used:
SMA (Simple Moving Average): This is a trend-following indicator that calculates the average price of a security over a specified period (50 periods in this case). It's used to identify the overall trend of the market.
RSI (Relative Strength Index): This measures the speed and change of price movements. It tells us if the market is overbought (too high) or oversold (too low). Overbought is above 70 and oversold is below 30.
Volume: This is the amount of trading activity. A higher volume often indicates strong interest in a particular price move.
ATR (Average True Range): This measures volatility, or how much the price is moving in a given period. It helps us adjust stop losses and take profits based on market volatility.
2. Conditions for Entering Trades:
Buy Signal (Green Up Arrow):
Price is above the 50-period SMA (indicating an uptrend).
RSI is below 30 (indicating the market might be oversold or undervalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
Sell Signal (Red Down Arrow):
Price is below the 50-period SMA (indicating a downtrend).
RSI is above 70 (indicating the market might be overbought or overvalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
3. Take Profit & Stop Loss:
Take Profit: When a trade is made, the strategy will set a target price at a certain percentage above or below the entry price (1.5% in this case) to automatically exit the trade once that target is hit.
Stop Loss: If the price goes against the position, a stop loss is set at a percentage below or above the entry price (0.5% in this case) to limit losses.
4. Execution of Trades:
When the buy condition is met, the strategy will enter a long position (buying).
When the sell condition is met, the strategy will enter a short position (selling).
5. Visual Representation:
Green Up Arrow: Appears on the chart when the buy condition is met.
Red Down Arrow: Appears on the chart when the sell condition is met.
These arrows help you see at a glance when the strategy suggests you should buy or sell.
In Summary:
This strategy uses a combination of trend-following (SMA), momentum (RSI), volume, and volatility (ATR) to decide when to buy or sell a stock. It looks for opportunities when the market is either oversold (buy signal) or overbought (sell signal) and makes sure there’s enough volume and volatility to back up the move. It also includes take-profit and stop-loss levels to manage risk.
Altcoin Long/Short Strategy//@version=5
strategy("Altcoin Long/Short Strategy", overlay=true, initial_capital=1000, default_qty_type=strategy.percent_of_equity, default_qty_value=2, commission_type=strategy.commission.percent, commission_value=0.1)
// —————— Inputs ——————
emaFastLength = input.int(20, "Fast EMA")
emaSlowLength = input.int(50, "Slow EMA")
rsiLength = input.int(14, "RSI Length")
bbLength = input.int(20, "Bollinger Bands Length")
riskRewardRatio = input.float(1.5, "Risk/Reward Ratio")
stopLossPerc = input.float(2, "Stop Loss %") / 100
// —————— Indicators ——————
// Trend: EMAs
emaFast = ta.ema(close, emaFastLength)
emaSlow = ta.ema(close, emaSlowLength)
ema200 = ta.ema(close, 200)
// Momentum: RSI & MACD
rsi = ta.rsi(close, rsiLength)
= ta.macd(close, 12, 26, 9)
// Volatility: Bollinger Bands
basis = ta.sma(close, bbLength)
dev = ta.stdev(close, bbLength)
upperBand = basis + 2 * dev
lowerBand = basis - 2 * dev
// —————— Strategy Logic ——————
// Long Conditions
longCondition =
close > ema200 and // Long-term bullish
ta.crossover(emaFast, emaSlow) and // EMA crossover
rsi > 50 and // Momentum rising
close > lowerBand and // Bounce from lower Bollinger Band
macdLine > signalLine // MACD bullish
// Short Conditions
shortCondition =
close < ema200 and // Long-term bearish
ta.crossunder(emaFast, emaSlow) and // EMA crossunder
rsi < 50 and // Momentum weakening
close < upperBand and // Rejection from upper Bollinger Band
macdLine < signalLine // MACD bearish
// —————— Risk Management ——————
stopLoss = strategy.position_avg_price * (1 - stopLossPerc)
takeProfit = strategy.position_avg_price * (1 + (riskRewardRatio * stopLossPerc))
// —————— Execute Trades ——————
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.exit("Exit Long", "Long", stop=stopLoss, limit=takeProfit)
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.exit("Exit Short", "Short", stop=stopLoss, limit=takeProfit)
// —————— Plotting ——————
plot(emaFast, "Fast EMA", color=color.blue)
plot(emaSlow, "Slow EMA", color=color.orange)
plot(ema200, "200 EMA", color=color.gray)
plot(upperBand, "Upper Bollinger", color=color.red)
plot(lowerBand, "Lower Bollinger", color=color.green)
EMA 5 and SMA 10 Crossover with RSI by santosh kadamExplanation of the Script:
Indicators:
EMA 5 and SMA 10: These are the two moving averages used to determine the trend direction.
Buy signal is triggered when EMA 5 crosses above SMA 10.
Sell signal is triggered when EMA 5 crosses below SMA 10.
RSI 14: This is used to filter buy and sell signals.
Buy trades are allowed only if RSI 14 is above 60.
Sell trades are allowed only if RSI 14 is below 50.
Buy Conditions:
The strategy waits for the EMA crossover (EMA 5 crosses above SMA 10).
The strategy checks if RSI 14 is above 60 for confirmation.
If the price is below 60 on RSI 14 at the time of crossover, the strategy will wait until the price crosses above 60 on RSI 14 to initiate the buy.
Sell Conditions:
The strategy waits for the EMA crossover (EMA 5 crosses below SMA 10).
The strategy checks if RSI 14 is below 50 for confirmation.
If the price is above 50 on RSI 14 at the time of crossover, the strategy will wait until the price crosses below 50 on RSI 14 to initiate the sell.
Exit Conditions:
The Buy position is closed if the EMA crossover reverses (EMA 5 crosses below SMA 10) or RSI 14 drops below 50.
The Sell position is closed if the EMA crossover reverses (EMA 5 crosses above SMA 10) or RSI 14 rises above 60.
Plotting:
The script plots the EMA 5, SMA 10, and RSI 14 on the chart for easy visualization.
Horizontal lines are drawn at RSI 60 and RSI 50 levels for reference.
Key Features:
Price Confirmation: The strategy ensures that buy trades are only initiated if RSI 14 crosses above 60, and sell trades are only initiated if RSI 14 crosses below 50. Additionally, price action must cross these RSI levels to confirm the trade.
Reversal Exits: Positions are closed when the EMA crossover or RSI condition reverses.
Backtesting:
Paste this script into the Pine Editor on TradingView to test it with historical data.
You can adjust the EMA, SMA, and RSI lengths based on your preferences.
Let me know if you need further adjustments or clarification!
kellev1fena bir indikatör kullanmanızı tavsiye ederim İÇERİK OLARAK ZENGİN BİR İNDİKATÖR OLUP YUKARIDAN VE AŞŞAĞIDAN AL SAT SİNYALLERİNİ VERMEKTEDİR. bu tam olarak size bir trade yöntemi değil akıl vermek icin tasarlanmış olup asıl yazarı LUX tur
20-Day Low % Diff for Screenercustom column in TradingView’s stock screener using Pine Script, but TradingView doesn’t allow direct integration of Pine Script indicators into the screener.
Gold Trading Strategy//@version=5
indicator("Gold Trading Strategy", overlay=true)
// Input parameters
shortMA = ta.sma(close, 9)
longMA = ta.sma(close, 21)
rsi = ta.rsi(close, 14)
= ta.bb(close, 20, 2)
// Time filter (IST time range)
timeFilter = (hour >= 12 and hour < 14) or (hour >= 18 and hour < 21)
// Buy condition
buyCondition = ta.crossover(shortMA, longMA) and rsi > 50 and close > bbMiddle and timeFilter
// Sell condition
sellCondition = ta.crossunder(shortMA, longMA) and rsi < 50 and close < bbMiddle and timeFilter
// Plot MAs
plot(shortMA, color=color.blue, title="9 MA")
plot(longMA, color=color.red, title="21 MA")
// Plot Bollinger Bands
plot(bbUpper, color=color.gray, title="BB Upper")
plot(bbMiddle, color=color.gray, title="BB Middle")
plot(bbLower, color=color.gray, title="BB Lower")
// Plot Buy & Sell signals
plotshape(series=buyCondition, location=location.belowbar, color=color.green, style=shape.labelup, size=size.large, title="Buy Signal")
plotshape(series=sellCondition, location=location.abovebar, color=color.red, style=shape.labeldown, size=size.large, title="Sell Signal")
// Plot Entry & Exit Markers
plotshape(series=buyCondition, location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.large, title="Entry")
plotshape(series=sellCondition, location=location.abovebar, color=color.orange, style=shape.triangledown, size=size.large, title="Exit")
// Add text labels for entry and exit points
var float labelOffset = ta.atr(14) // Offset labels for better visibility
if buyCondition
label.new(x=time, y=low - labelOffset, text="Entry", color=color.blue, textcolor=color.white, size=size.large, style=label.style_label_down)
if sellCondition
label.new(x=time, y=high + labelOffset, text="Exit", color=color.orange, textcolor=color.white, size=size.large, style=label.style_label_up)
Support/Resistance + Donchian Channel (lord gozer)Better test before use it ,because its about your money not mine
Automatic Fibonacci retracement based on the highest high and loThe chart is fractal, meaning that what happens can always be broken down into smaller portions.
This is often seen in various AR (Algorithmic Rules) concepts, such as breakers, order blocks, etc., where the price reacts.
I’ve visualized this behavior with this indicator.
This indicator takes the highest high and the lowest low from the past 5 weeks, excluding the current week.
The lowest low will represent 0%, and the highest high will represent 100% (green lines).
It then divides this range into 25%, 50%, 75%, and 100% levels (red and blue lines).
The indicator works on all charts and all timeframes, automatically adjusting when you switch charts or timeframes. No manual input is required.
Additionally, above 100%, it will create levels at 125%, 150%, 175%, and 200%, while below 0%, it will create levels at -25%, -50%, -75%, and -100%.
Your chart will now be divided into these 25% levels, allowing you to observe how the price either respects or breaks through them.
Again, this isn’t something “groundbreaking,” but simply a visual aid to identify levels where the price finds support/resistance or breaks through.
It helps me gain a broader perspective and determine whether my trade is moving in the right direction or if I should remain cautious.
Gaussian Channel with Stochastic RSI StrategyKeltner Channel with Stochastic RSI Strategy
The Keltner Channel with Stochastic RSI strategy is a technical trading approach that combines the Keltner Channel, a volatility-based indicator, with the Stochastic RSI, a momentum indicator. This strategy aims to identify trading opportunities by detecting overbought and oversold conditions in conjunction with volatility contractions and expansions.
Components:
Keltner Channel: A volatility-based indicator consisting of three bands: the upper band, lower band, and middle band (20-period moving average). The bands are set at 2 x Average True Range (ATR) above and below the middle band.
Stochastic RSI: A momentum indicator that measures the relative position of the RSI (Relative Strength Index) within its own range. The Stochastic RSI is set to 14 periods with overbought and oversold levels at 80 and 20, respectively.
Strategy Rules:
Long Entry:
The price touches or breaks below the lower Keltner Channel band.
The Stochastic RSI falls below 20, indicating oversold conditions.
The RSI must be below 30 to confirm the oversold condition.
Short Entry:
The price touches or breaks above the upper Keltner Channel band.
The Stochastic RSI rises above 80, indicating overbought conditions.
The RSI must be above 70 to confirm the overbought condition.
Exit Rules:
Profit Target: Set a profit target at 1:1 or 1:2 risk-reward ratio.
Stop Loss: Set a stop loss at the opposite side of the Keltner Channel band.
Trailing Stop: Use a trailing stop to lock in profits as the trade moves in your favor.
Additional Considerations:
Trend Filter: Use a trend filter, such as a 50-period moving average, to ensure that trades are taken in the direction of the underlying trend.
Risk Management: Always use proper risk management techniques, such as position sizing and stop-loss orders, to limit potential losses.
By combining the Keltner Channel and Stochastic RSI indicators, this strategy offers a unique approach to identifying trading opportunities in various markets.
YCLK Al-Sat İndikatörüRSI Period (RSI Periyodu): Adjustable RSI period (default is 14).
Overbought Level (RSI Aşırı Alım): Sets the RSI threshold for overbought conditions (default is 70).
Oversold Level (RSI Aşırı Satım): Sets the RSI threshold for oversold conditions (default is 30).
Take Profit Ratio (Kâr Alma Oranı): Percentage ratio for take-profit levels (default is 1.05 or 5% profit).
Stop Loss Ratio (Zarar Durdurma Oranı): Percentage ratio for stop-loss levels (default is 0.95 or 5% loss).
RSI Calculation: The script calculates the Relative Strength Index (RSI) using the defined period.
Buy Signal: Generated when RSI crosses above the oversold level.
Sell Signal: Generated when RSI crosses below the overbought level.
Buy/Sell Signal Visualization:
Buy Signal: Green upward arrow labeled as "BUY".
Sell Signal: Red downward arrow labeled as "SELL".
Dynamic Take Profit and Stop Loss Levels:
Entry Price: Tracks the price at which a Buy signal occurs.
Take Profit (TP): Automatically calculated as Entry Price * Take Profit Ratio.
Stop Loss (SL): Automatically calculated as Entry Price * Stop Loss Ratio.
These levels are plotted on the chart with:
Blue circles for TP levels.
Red circles for SL levels.
Fibonacci Targets: The script also calculates Fibonacci levels based on the entry price:
Fibonacci 1.236 Level: Shown in purple.
Fibonacci 1.618 Level: Shown in orange.
Additional Visual Details:
Displays the current RSI value at each bar as a yellow label above the chart.
How to Use:
Apply the indicator to your TradingView chart.
Adjust the input parameters (RSI period, overbought/oversold levels, profit/loss ratios) based on your strategy.
Use the Buy and Sell signals to identify potential trade entries.
Use the TP and SL levels to manage risk and lock in profits.
Refer to the Fibonacci levels for extended profit targets.
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[COG]MTF RZP Heatmap MTF RZP Heatmap (Range Zone Pulse)
What It Does
This indicator creates three visual heatmaps that show how current price movement compares to the average range of different timeframes. It helps traders:
Identify when price moves are overextended
Compare momentum across different timeframes
Spot potential reversal points
Understand the relative strength of price movements
How It Works
Range Calculation:
For each selected timeframe, it calculates an average range based on the specified number of periods
The range is measured from high to low for each period
A moving average of these ranges creates a dynamic "normal" range for that timeframe
Position Calculation:
Measures how far price has moved from the period's opening price
Compares this movement to the average range
Converts the movement into a percentage (-100% to +100%)
Visual Display:
Shows three vertical heatmaps, one for each timeframe
Colors graduate from bearish (typically red) to bullish (typically green)
A dot indicator shows the current position within each range
Percentage labels show exact movement relative to average range
Trading Applications
Trend Trading:
Multiple timeframes aligned in the same color suggest strong trend
Use larger timeframes (Daily/Weekly) for trend direction
Use smaller timeframes (4H/1H) for entry timing
Mean Reversion:
Extreme readings (near +100% or -100%) suggest overextended moves
Look for divergences between timeframes
Use when shorter timeframes show extremes but larger timeframes don't
Volatility Trading:
Compare current moves to average ranges
Identify when markets are more volatile than usual
Adjust position sizes based on range expansion/contraction
Multi-Timeframe Analysis:
Compare price action across different time horizons
Identify conflicting signals between timeframes
Use for timeframe alignment in trading decisions
Best Practices for Usage
Timeframe Selection:
Set the first timeframe to your trading timeframe
Set the second timeframe to your trend timeframe
Set the third timeframe to your entry timeframe
Range Period Settings:
Default is 5 periods
Increase for more stable readings
Decrease for more responsive readings
Color Interpretation:
Darker colors indicate stronger moves
Look for alignment across timeframes
Watch for extremes in any timeframe
Trading Setups:
Wait for alignment in multiple timeframes
Use extreme readings for counter-trend trades
Combine with other indicators for confirmation
RSI + MACD Combined by Majidbest of all i have combined the most traded indicators in one for you to ease the trading
Deepsek IndicatorThis TradingView Pine Script indicator combines EMA crossovers (for trend direction) and RSI (for momentum) to generate Buy/Sell signals. It includes customizable Take Profit (TP) and Stop Loss (SL) levels, plotted directly on the chart.
Key Features
Signal Types:
EMA Crossover: Triggers Buy when a fast EMA crosses above a slow EMA; Sell on the reverse.
RSI Divergence: Buy when RSI exits oversold (30); Sell when RSI exits overbought (70).
Risk Management:
Set TP/SL as fixed percentages (e.g., 2% TP) or fixed price points.
Visual horizontal lines mark entry price, TP (teal dashed), and SL (red dashed).
Visual Clarity:
Labels (BUY/SELL) with arrows at signal points.
Plots EMAs (fast/slow) and RSI for trend/momentum confirmation.
Flexibility:
Adjust parameters (EMA lengths, RSI settings, TP/SL rules) via input settings.
Alerts for real-time signal notifications.
Purpose:
Designed to simplify entries/exits with clear rules, enforce disciplined risk management, and adapt to multiple markets (stocks, forex, crypto).