LINEdicator - Trendanalysis toolThis indicator creates an trend channel based on an EMA/SMA combo and a Parabolc SAR indicator.
Watch for the peaks and the size of the red/green channel for possible trend change.
Can also be used as an Entry/Exit/Stop-Loss setting tool.
Pesquisar nos scripts por "entry"
LongSetups with Entry Signals and Trailing Stop(HA)High probable Long Setups for any time frame and asset.
75+ win rate
Trailing stop always used as exit point
To trade only with the trand - enable MAs in the Inputs tab
x - means Entry signal is active and waiting for long validation
B - on a closed bar is entry signal for long
C - on a developing bar is exit long signal
Green line - long validation line. must close above to go long
Pink line - trailing stop
On Long Entry alert - use Once Per Bar Close option.
On Long Exit alert (Trailing stop triggered) - use Once Per Bar option to trigger sooner and protect your capital.
Always do your own analysis and make trades on your own risk. Find a confluence point where everything aligns and make your own decision. Don't enter a trade because the indicator tells you so. You are free to make a copy of the script and change it to your own needs for your own personal use.
Bar Color - Moving Average Convergence Divergence [nsen]The Pine Script you've provided creates a custom indicator that utilizes the MACD (Moving Average Convergence Divergence) and displays various outputs, such as bar color changes based on MACD signals, and a table of data from multiple timeframes. Here's a breakdown of how the script works:
1. Basic Settings (Input)
• The script defines several user-configurable parameters, such as the MACD values, bar colors, the length of the EMA (Exponential Moving Average) periods, and signal smoothing.
• Users can also choose timeframes to analyze the MACD values, like 5 minutes, 15 minutes, 1 hour, 4 hours, and 1 day.
2. MACD Calculation
• It uses the EMA of the close price to calculate the MACD value, with fast_length and slow_length representing the fast and slow periods. The signal_length is used to calculate the Signal Line.
• The MACD value is the difference between the fast and slow EMA, and the Signal Line is the EMA of the MACD.
• The Histogram is the difference between the MACD and the Signal Line.
3. Plotting the Histogram
• The Histogram values are plotted with colors that change based on the value. If the Histogram is positive (rising), it is colored differently than if it's negative (falling). The colors are determined by the user inputs, for example, green for bullish (positive) signals and red for bearish (negative) signals.
4. Bar Coloring
• The bar color changes based on the MACD's bullish or bearish signal. If the MACD is bullish (MACD > Signal), the bar color will change to the color defined for bullish signals, and if it's bearish (MACD < Signal), the bar color will change to the color defined for bearish signals.
5. Multi-Timeframe Data Table
• The script includes a table displaying the MACD trend for different timeframes (e.g., 5m, 15m, 1h, 4h, 1d).
• Each timeframe will show a colored indicator: green (🟩) for bullish and red (🟥) for bearish, with the background color changing based on the trend.
6. Alerts
• The script has alert conditions to notify the user when the MACD shows a bullish or bearish entry:
• Bullish Entry: When the MACD turns bullish (crosses above the Signal Line).
• Bearish Entry: When the MACD turns bearish (crosses below the Signal Line).
• Alerts are triggered with custom messages such as "🟩 MACD Bullish Entry" and "🟥 MACD Bearish Entry."
Key Features:
• Customizable Inputs: Users can adjust the MACD settings, histogram colors, and timeframe options.
• Visual Feedback: The color changes of the histogram and bars provide instant visual cues for bullish or bearish trends.
• Multi-Timeframe Analysis: The table shows the MACD trend across multiple timeframes, helping traders monitor trends in different timeframes.
• Alert Conditions: Alerts notify users when key MACD crossovers occur.
RSI/MFI - MTF - Entry signals/Trend colored bars - JD@version=2
This indicator is designed to give early entry signals as well as to follow trend moves, according to different settings.
The indicator shows a histogram of the RSI ro MFI in relation to an ema of the RSI or MFI.
The histogram is then smoothed to give early reversal/entry signals.
The actual RSI/MFI line with oversold/overbought indication can be displayed or omitted, as preferred.
in addition to the RSI/MFI line or as an alternative to it, the background colour can be set to change folowing the RSI/MFI signals.
The timeframe can be chosen. Higher timeframes (eg. 3h) tend to give less false signals.
version 5.
added support for custom Multiple Time Frame selection.
added option for choice of RSI or MFI as base indicator.
added option for price bar coloring according to the indicator. (deselecting "borders" in the "style" tab is recommended)
price bar coloring can be adjusted for different strategies:
1. following the slope of the histogram (for faster entry/exit signals)
2. according to positive or negative histogram (for longer moves)
3. according to pos. or neg. RSI/MFI (for longer term trend holds)
4. uptrend: biased towards faster buy signals and slower sell signals to stay in the uptrend
5. downtrend: biased towards faster sell signals and slower buy signals to stay in the downtrend
A longer timeframe (eg. 3x) is recommended for following trend moves.
try different strategies to see what works better for RSI or MFI.
JD.
Revolution Entry IndicatorSimple entry indicator where the entry is decided by the relative strength of each individual candle.
RSI-MTF-Histo-EntryThis indicator gives a histogram of RSI in relation to an ema of the RSI.
The histogram is then smoothed to reduce false signals.
The actualiteit RSI line with overbought/overvols signals can be added or omitted as preferred.
The background can be color coded if the RSI is above or below 50.
Version 2. Added support for MTF. Longer timesframes (1h-3h) tend to give better entry results.
As an example the indicator was added two times, one for the current timeframe and one for a longer timeframe.
T3 Entry and ExitI made this indicator to give clear entry and exit signals plus give signals when I should add onto my trades with no repainting!! The bottom indicator is set to 34 (the default settings). This gives me my entries and exits as shown by the green and red arrow. I use a 14 period setting for my signals to add onto my trade. If I am in a long trade as shown in the chart above and the 14 period T3EE has a fast line cross under the slow line and then a cross back over and I have not had my signal to close trade yet on the 34 period T3EE I will add to my long position. I cut the size of they order in half with each addition to my position. So if I entered with 2 lots I would add 1 lot with my first signal to add (shown by orange arrow) and then .5 lots with the second signal to add to my position and so on until it is time to close the position. If you day trade avoid entering positions between 4pm est and 9pm est. and the larger the ranges and the more trendy the market the better. Good Luck!!!
If you have any questions let me know :)
Price Action + Support/Resistance with LabelsEntry Conditions:
Long Entry (BUY): Based on the bullish engulfing pattern and price being above the resistance level.
Short Entry (SELL): For demonstration, the short entry condition is set as price being below the support level and a bullish candle in the previous bar. You can modify this logic for your own use case.
Stop Loss and Take Profit:
Stoploss is plotted at the calculated stop loss level.
Target is plotted at the calculated take profit level.
Labels:
For long trades, labels are added with "BUY", "STOPLOSS", and "TARGET".
For short trades (if enabled), labels are added with "SELL", "STOPLOSS", and "TARGET".
Labels are placed using label.new at specific locations on the chart (above or below bars).
Alert Conditions:
Alerts are created for both long and short entry signals so you can get notified when the entry conditions are met.
How it works:
BUY label will appear below the bar when a long entry condition is met.
SELL label will appear above the bar when a short entry condition is met.
STOPLOSS and TARGET labels will appear at their respective levels when an entry signal is triggered.
The labels will appear on the chart to give you a clear visual cue of the entry, stop loss, and take profit levels.
How to Use:
Copy the script into your Pine Editor on TradingView and apply it to your chart.
Observe the labels that show up on the chart:
"BUY" will appear below the bar when long conditions are met.
"SELL" will appear above the bar when short conditions are met (if using short logic).
"STOPLOSS" will be plotted at the stop loss level.
"TARGET" will be plotted at the take profit level.
Optional Customization:
You can modify the short entry condition based on your preferred method.
You can adjust the length for the support/resistance calculation, the stopLossRR, and other parameters to fine-tune the strategy for Nifty 50 or any other asset.
Let me know if you have any further questions or need additional modifications!
Entry Percent: EssamThis Pine Script code is designed to perform the task of computing and showcasing the profit percentage, profit value, and the duration for which a specific asset is held, all in real-time. The script effectively leverages the built-in resources to provide a seamless and robust experience, as it presents the calculated figures in an easily readable format on the chart, without causing any lag or disruptions to the chart.
[MV] %B with SMA + Volume Based Colored Bars
Entry Signal when %B Crosses with SMA and this is more meaningful if it supports colored bars.
Black Bar when prices go down and volume is bigger than 150% of its average, that indicates us price action is supported by a strong bearish volume
Blue Bar when prices go up and volume bigger than 150% of its average, that indicates us price action is supported by a strong bullish volume
VBC author @KIVANCfr3762
FX Sniper: T3-CCI Strategy - With 100 IndicatorsEntry signal when moving above -100, sell signal when going below 100
Amazing Crossover SystemEntry Rules
BUY when the 5 EMA crosses above the 10 EMA from underneath and the RSI crosses above the 50.0 mark from the bottom.
SELL when the 5 EMA crosses below the 10 EMA from the top and the RSI crosses below the 50.0 mark from the top.
Make sure that the RSI did cross 50.0 from the top or bottom and not just ranging tightly around the level.
How to setup Alert:
1) Add the Amazing Crossover System to your chart via Indicators
2) Find your currency pair
3) Set the timeframe on the chart to 1 hour
4) Press 'Alt + A' (create alert shortcut)
5) Set the following criteria for the alert:
Condition = 'Amazing Crossover System', Plot, ' BUY Signal'
The rest of the alert can be customized to your preferences
5) Repeat steps 1 - 4, but set the Condition = 'Amazing Crossover System', Plot, ' SELL Signal'
My script//@version=5
indicator("XAUUSD High Win-Rate Strategy", shorttitle="XAUUSD HWR", overlay=true)
// ============================================================================
// XAUUSD HIGH WIN-RATE STRATEGY INDICATOR
// Based on Dual-Phase Momentum Filter System
// Designed for M1, M5 timeframes with H1/H4 bias confirmation
// ============================================================================
// Input Parameters
ma_length = input.int(55, title="MA Channel Length", minval=1, maxval=200)
atr_length = input.int(14, title="ATR Length", minval=1, maxval=50)
atr_multiplier = input.float(2.5, title="ATR Stop Loss Multiplier", minval=1.0, maxval=5.0, step=0.1)
rr_ratio = input.float(1.5, title="Risk:Reward Ratio", minval=1.0, maxval=3.0, step=0.1)
htf_bias = input.timeframe("60", title="Higher Timeframe for Bias")
show_levels = input.bool(true, title="Show Entry/Exit Levels")
show_signals = input.bool(true, title="Show Buy/Sell Signals")
show_channel = input.bool(true, title="Show MA Channel")
// ============================================================================
// CORE CALCULATIONS
// ============================================================================
// Moving Average Channel (55-period High/Low)
ma_high = ta.sma(high, ma_length)
ma_low = ta.sma(low, ma_length)
// Heiken Ashi Calculations
ha_close = (open + high + low + close) / 4
var float ha_open = na
ha_open := na(ha_open ) ? (open + close) / 2 : (ha_open + ha_close ) / 2
ha_high = math.max(high, math.max(ha_open, ha_close))
ha_low = math.min(low, math.min(ha_open, ha_close))
// Higher Timeframe Bias (200 SMA)
htf_sma200 = request.security(syminfo.tickerid, htf_bias, ta.sma(close, 200), lookahead=barmerge.lookahead_off)
// ATR for Stop Loss Calculation
atr = ta.atr(atr_length)
// RSI for Additional Confirmation
rsi = ta.rsi(close, 14)
// ============================================================================
// SIGNAL LOGIC
// ============================================================================
// Channel Filter - No trades when price is within the channel
in_channel = close > ma_low and close < ma_high
outside_channel = not in_channel
// Heiken Ashi Color
ha_bullish = ha_close > ha_open
ha_bearish = ha_close < ha_open
// Higher Timeframe Bias
htf_bullish = close > htf_sma200
htf_bearish = close < htf_sma200
// Entry Conditions
long_condition = outside_channel and close > ma_high and ha_bullish and htf_bullish
short_condition = outside_channel and close < ma_low and ha_bearish and htf_bearish
// Entry Signals (only on bar close to avoid repainting)
long_signal = long_condition and not long_condition
short_signal = short_condition and not short_condition
// ============================================================================
// TRADE LEVELS CALCULATION
// ============================================================================
var float entry_price = na
var float stop_loss = na
var float take_profit = na
var string trade_direction = na
// Calculate levels for new signals
if long_signal
entry_price := close
stop_loss := close - (atr * atr_multiplier)
take_profit := close + ((close - stop_loss) * rr_ratio)
trade_direction := "LONG"
if short_signal
entry_price := close
stop_loss := close + (atr * atr_multiplier)
take_profit := close - ((stop_loss - close) * rr_ratio)
trade_direction := "SHORT"
// ============================================================================
// VISUAL ELEMENTS
// ============================================================================
// MA Channel - Store plot IDs for fill function
ma_high_plot = plot(show_channel ? ma_high : na, color=color.blue, linewidth=1, title="MA High")
ma_low_plot = plot(show_channel ? ma_low : na, color=color.red, linewidth=1, title="MA Low")
// Fill the channel
fill(ma_high_plot, ma_low_plot, color=color.new(color.gray, 90), title="MA Channel")
// Higher Timeframe SMA200
plot(htf_sma200, color=color.purple, linewidth=2, title="HTF SMA200")
// Entry Signals
plotshape(show_signals and long_signal, title="Long Signal", location=location.belowbar,
style=shape.triangleup, size=size.normal, color=color.green)
plotshape(show_signals and short_signal, title="Short Signal", location=location.abovebar,
style=shape.triangledown, size=size.normal, color=color.red)
// Trade Levels
entry_plot = plot(show_levels and not na(entry_price) ? entry_price : na,
color=color.yellow, linewidth=2, style=line.style_dashed, title="Entry Price")
stop_plot = plot(show_levels and not na(stop_loss) ? stop_loss : na,
color=color.red, linewidth=2, style=line.style_dotted, title="Stop Loss")
target_plot = plot(show_levels and not na(take_profit) ? take_profit : na,
color=color.green, linewidth=2, style=line.style_dotted, title="Take Profit")
// ============================================================================
// ALERTS
// ============================================================================
// Alert Conditions
alertcondition(long_signal, title="Long Entry Signal",
message="XAUUSD Long Entry: Price={{close}}, SL=" + str.tostring(stop_loss) + ", TP=" + str.tostring(take_profit))
alertcondition(short_signal, title="Short Entry Signal",
message="XAUUSD Short Entry: Price={{close}}, SL=" + str.tostring(stop_loss) + ", TP=" + str.tostring(take_profit))
// ============================================================================
// INFORMATION TABLE
// ============================================================================
if barstate.islast and show_levels
var table info_table = table.new(position.top_right, 2, 8, bgcolor=color.white, border_width=1)
table.cell(info_table, 0, 0, "XAUUSD Strategy Info", text_color=color.black, text_size=size.normal)
table.cell(info_table, 1, 0, "", text_color=color.black)
table.cell(info_table, 0, 1, "Current Price:", text_color=color.black)
table.cell(info_table, 1, 1, str.tostring(close, "#.##"), text_color=color.black)
table.cell(info_table, 0, 2, "ATR (14):", text_color=color.black)
table.cell(info_table, 1, 2, str.tostring(atr, "#.##"), text_color=color.black)
table.cell(info_table, 0, 3, "RSI (14):", text_color=color.black)
table.cell(info_table, 1, 3, str.tostring(rsi, "#.##"), text_color=color.black)
table.cell(info_table, 0, 4, "HTF Bias:", text_color=color.black)
table.cell(info_table, 1, 4, htf_bullish ? "BULLISH" : "BEARISH",
text_color=htf_bullish ? color.green : color.red)
table.cell(info_table, 0, 5, "In Channel:", text_color=color.black)
table.cell(info_table, 1, 5, in_channel ? "YES" : "NO",
text_color=in_channel ? color.red : color.green)
if not na(trade_direction)
table.cell(info_table, 0, 6, "Last Signal:", text_color=color.black)
table.cell(info_table, 1, 6, trade_direction,
text_color=trade_direction == "LONG" ? color.green : color.red)
table.cell(info_table, 0, 7, "Risk/Reward:", text_color=color.black)
table.cell(info_table, 1, 7, "1:" + str.tostring(rr_ratio, "#.#"), text_color=color.black)
// ============================================================================
// BACKGROUND COLORING
// ============================================================================
// Color background based on trend and channel status
bg_color = color.new(color.white, 100)
if htf_bullish and not in_channel
bg_color := color.new(color.green, 95)
else if htf_bearish and not in_channel
bg_color := color.new(color.red, 95)
else if in_channel
bg_color := color.new(color.yellow, 95)
bgcolor(bg_color, title="Background Trend Color")
// ============================================================================
// STRATEGY NOTES
// ============================================================================
// This indicator implements the Dual-Phase Momentum Filter System:
// 1. MA Channel Filter: Avoids trades when price is between 55-period high/low MAs
// 2. Heiken Ashi Confirmation: Requires momentum alignment for entries
// 3. Higher Timeframe Bias: Uses 200 SMA on higher timeframe for direction
// 4. ATR-based Risk Management: Dynamic stop losses based on volatility
// 5. Fixed Risk:Reward Ratio: Consistent 1:1.5 profit targets
//
// Usage Instructions:
// 1. Apply to M1 or M5 timeframe for optimal signals
// 2. Set higher timeframe to H1 or H4 for bias confirmation
// 3. Wait for signals outside the MA channel
// 4. Enter trades only when all conditions align
// 5. Use provided stop loss and take profit levels
// 6. Risk no more than 0.5% of account per trade
//
// Best Trading Sessions: Asian and New York
// Avoid: Low liquidity periods and major news events
Candle Range % vs 8-Candle AvgCandle % Indicator – Measure Candle Strength by Range %
**Overview:**
The *Candle % Indicator* helps traders visually and analytically gauge the strength or significance of a price candle relative to its recent historical context. This is particularly useful for detecting breakout moves, volatility shifts, or overextended candles that may signal exhaustion.
**What It Does:**
* Calculates the **percentage range** of the current candle compared to the **average range of the past N candles**.
* Highlights candles that exceed a user-defined threshold (e.g., 150% of the average range).
* Useful for **filtering out extreme candles** that might represent anomalies or unsustainable moves.
* Can be combined with other strategies (like EMA crossovers, support/resistance breaks, etc.) to improve signal quality.
**Use Case Examples:**
***Filter out fakeouts** in breakout strategies by ignoring candles that are overly large and may revert.
***Volatility control**: Avoid entries when market conditions are erratic.
**Confluence**: Combine with EMA or RSI signals for refined entries.
**How to Read:**
* If a candle is larger than the average range by more than the set percentage (default 150%), it's flagged (e.g., no entry signal or optional visual marker).
* Ideal for intraday, swing, or algorithmic trading setups.
**Customizable Inputs:**
**Lookback Period**: Number of previous candles to calculate the average range.
**% Threshold**: Maximum percentage a candle can exceed the average before being filtered or marked.
VWAP & MVWAP Cross [Dr.K.C.Prakash]The indicator "VWAP & MVWAP Cross (20)" is a custom-built Pine Script-based trading tool designed for precision intraday trading, especially useful in fast-moving markets like options or indices on the 1-minute or 5-minute timeframes.
🔍 Core Concept
This indicator uses two key components:
VWAP (Volume Weighted Average Price)
VWAP is a dynamic intraday average that reflects the average price weighted by volume.
It resets every trading day, providing real-time insight into institutional trading levels.
MVWAP (Moving VWAP or Multi-session VWAP)
MVWAP typically refers to a smoothed or multi-timeframe version of VWAP.
It reduces noise and captures more sustained directional trends, often calculated using a moving average over the VWAP values.
⚙️ Technical Mechanics
Buy Signal: Triggered when the VWAP crosses above the MVWAP, indicating bullish strength and potential upward momentum.
Sell Signal: Triggered when the VWAP crosses below the MVWAP, suggesting bearish momentum.
Each crossover is treated as a significant shift in price behavior, often confirming the start of a short-term trend.
📈 Features
🔵 Buy and 🔴 Sell Signals: Clear visual markers are placed directly on the chart.
📊 Real-Time Labels: "BUY" or "SELL" labels appear at cross-points.
🧭 Noise Filtering: Short, false reversals are filtered out using logic that prioritizes long, stable trends (based on your previous customization preferences).
🕐 1-Minute Optimization: This version is particularly calibrated for 1-minute timeframe, useful for scalping or option buying.
✅ Use Cases
Scalping strategies
Index or Option intraday trading
Detecting institutional entry/exit zones
Momentum confirmation alongside price action or ATR levels
📌 Customizations by Dr.K.C.Prakash
Emphasis on long-trend clarity, removing short noise.
Adjusted smoothing on MVWAP for more reliable entries.
Built with visual clarity and minimal lag for professional-grade decision-making.
Nef33 Forex & Crypto Trading Signals PRO
1. Understanding the Indicator's Context
The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must:
Use dynamic or static support/resistance levels already present in the script.
Incorporate volatility (such as ATR) to adjust the levels based on market conditions.
Define a risk/reward ratio (e.g., 1:2).
2. Options for Determining SL and TP
Below, I provide several ideas based on the tools available in the script:
Stop Loss (SL)
The SL should protect you from adverse movements. You can base it on:
ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL.
Buy: SL = Entry Price - (atr_smooth * atr_mult).
Sell: SL = Entry Price + (atr_smooth * atr_mult).
Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones.
Buy: SL below the nearest ob_lows or fvg_lows.
Sell: SL above the nearest ob_highs or fvg_highs.
VWAP: Use the daily VWAP (vwap_day) as a critical level.
Buy: SL below vwap_day.
Sell: SL above vwap_day.
Take Profit (TP)
The TP should maximize profits. You can base it on:
Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3).
Buy: TP = Entry Price + (SL Distance * 2).
Sell: TP = Entry Price - (SL Distance * 2).
Key Zones: Target the next resistance (for buys) or support (for sells).
Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high.
Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low.
Ichimoku: Use the cloud levels (Senkou Span A/B) as targets.
Buy: TP at senkou_span_a or senkou_span_b (whichever is higher).
Sell: TP at senkou_span_a or senkou_span_b (whichever is lower).
3. Practical Implementation
Since the script does not automatically draw SL/TP, you can:
Calculate them manually: Observe the chart and use the levels mentioned.
Modify the code: Add SL/TP as labels (label.new) at the moment of the signal.
Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio:
Modified Code (Signals Section)
Find the lines where the signals (trade_buy and trade_sell) are generated and add the following:
pinescript
// Calculate SL and TP based on ATR
atr_sl_mult = 1.5 // Multiplier for SL
atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio)
sl_distance = atr_smooth * atr_sl_mult
tp_distance = atr_smooth * atr_tp_mult
if trade_buy
entry_price = close
sl_price = entry_price - sl_distance
tp_price = entry_price + tp_distance
label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny)
if trade_sell
entry_price = close
sl_price = entry_price + sl_distance
tp_price = entry_price - tp_distance
label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny)
Code Explanation
SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell.
TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio.
Visualization: Labels are added to the chart to display SL (red) and TP (blue).
4. Practical Strategy Without Modifying the Code
If you don’t want to modify the script, follow these steps manually:
Entry: Take the trade_buy or trade_sell signal.
SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP).
TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3.
Example:
Buy at 100, ATR = 2.
SL = 100 - (2 * 1.5) = 97.
TP = 100 + (2 * 3) = 106.
5. Recommendations
Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto).
Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference.
Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
AD Pro//@version=5
indicator("AD Pro", overlay=true)
// === Inputs
atrLen = input.int(14, "ATR Length")
factor = input.float(0.7, "Factor")
slMultiplier = input.float(2.0, "SL Multiplier")
// Volatility Filter Input
atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1)
// Min % Price Change Filter
enableMinMove = input.bool(true, "Enable Min % Price Change Filter")
lookbackBars = input.int(20, "Lookback Bars")
minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0)
// TP Buy colors
tp1BuyColor = input.color(color.lime, "TP1 Buy Color")
tp2BuyColor = input.color(color.green, "TP2 Buy Color")
tp3BuyColor = input.color(color.teal, "TP3 Buy Color")
// TP Sell colors
tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color")
tp2SellColor = input.color(color.red, "TP2 Sell Color")
tp3SellColor = input.color(color.maroon, "TP3 Sell Color")
// SL colors
slBuyColor = input.color(color.blue, "SL Buy Color")
slSellColor = input.color(color.blue, "SL Sell Color")
// === Indicator Calculations
atr = ta.atr(atrLen)
avgATR = ta.sma(atr, 50)
atrCondition = atr > avgATR * atrFilterStrength
priceChange = math.abs(close - close ) / close
priceMoveOK = priceChange > minMovePct
priceChangeCondition = not enableMinMove or priceMoveOK
volatilityOK = atrCondition and priceChangeCondition
// === UT Bot Logic
src = close
var float trailPrice = na
var bool dirLong = true
longStop = src - factor * atr
shortStop = src + factor * atr
if na(trailPrice)
trailPrice := longStop
dirLong := true
else
if dirLong
trailPrice := math.max(trailPrice, longStop)
dirLong := src > trailPrice
else
trailPrice := math.min(trailPrice, shortStop)
dirLong := src > trailPrice
rawBuy = dirLong and not dirLong
rawSell = not dirLong and dirLong
// Apply Volatility Filter
buySignal = rawBuy and volatilityOK
sellSignal = rawSell and volatilityOK
// === Entry & Label Storage
var float entryPrice = na
var bool lastSignalIsBuy = na
var label tp1Lbl = na
var label tp2Lbl = na
var label tp3Lbl = na
var label slLbl = na
var line tp1Line = na
var line tp2Line = na
var line tp3Line = na
var line slLine = na
if buySignal or sellSignal
if not na(tp1Lbl)
label.delete(tp1Lbl)
if not na(tp2Lbl)
label.delete(tp2Lbl)
if not na(tp3Lbl)
label.delete(tp3Lbl)
if not na(slLbl)
label.delete(slLbl)
if not na(tp1Line)
line.delete(tp1Line)
if not na(tp2Line)
line.delete(tp2Line)
if not na(tp3Line)
line.delete(tp3Line)
if not na(slLine)
line.delete(slLine)
entryPrice := close
lastSignalIsBuy := buySignal
tp1 = entryPrice + (buySignal ? 1 : -1) * atr
tp2 = entryPrice + (buySignal ? 2 : -2) * atr
tp3 = entryPrice + (buySignal ? 3 : -3) * atr
sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier
tp1Lbl := label.new(bar_index, tp1, "TP1\n" + str.tostring(tp1, format.mintick),
style=label.style_label_right,
color=buySignal ? tp1BuyColor : tp1SellColor,
textcolor=color.black)
tp2Lbl := label.new(bar_index, tp2, "TP2\n" + str.tostring(tp2, format.mintick),
style=label.style_label_right,
color=buySignal ? tp2BuyColor : tp2SellColor,
textcolor=color.white)
tp3Lbl := label.new(bar_index, tp3, "TP3\n" + str.tostring(tp3, format.mintick),
style=label.style_label_right,
color=buySignal ? tp3BuyColor : tp3SellColor,
textcolor=color.white)
slLbl := label.new(bar_index, sl, "SL\n" + str.tostring(sl, format.mintick),
style=label.style_label_right,
color=buySignal ? slBuyColor : slSellColor,
textcolor=color.white)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1,
color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2,
color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed)
tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3,
color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed)
slLine := line.new(bar_index, sl, bar_index + 1, sl,
color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed)
// === Plot Signals
plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Alerts
alertcondition(buySignal, title="Buy Alert", message="Buy Signal!")
alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
AD Pro//@version=5
indicator("AD Pro", overlay=true)
// === Inputs
atrLen = input.int(14, "ATR Length")
factor = input.float(0.7, "Factor")
slMultiplier = input.float(2.0, "SL Multiplier")
// Volatility Filter Input
atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1)
// Min % Price Change Filter
enableMinMove = input.bool(true, "Enable Min % Price Change Filter")
lookbackBars = input.int(20, "Lookback Bars")
minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0)
// TP Buy colors
tp1BuyColor = input.color(color.lime, "TP1 Buy Color")
tp2BuyColor = input.color(color.green, "TP2 Buy Color")
tp3BuyColor = input.color(color.teal, "TP3 Buy Color")
// TP Sell colors
tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color")
tp2SellColor = input.color(color.red, "TP2 Sell Color")
tp3SellColor = input.color(color.maroon, "TP3 Sell Color")
// SL colors
slBuyColor = input.color(color.blue, "SL Buy Color")
slSellColor = input.color(color.blue, "SL Sell Color")
// === Indicator Calculations
atr = ta.atr(atrLen)
avgATR = ta.sma(atr, 50)
atrCondition = atr > avgATR * atrFilterStrength
priceChange = math.abs(close - close ) / close
priceMoveOK = priceChange > minMovePct
priceChangeCondition = not enableMinMove or priceMoveOK
volatilityOK = atrCondition and priceChangeCondition
// === UT Bot Logic
src = close
var float trailPrice = na
var bool dirLong = true
longStop = src - factor * atr
shortStop = src + factor * atr
if na(trailPrice)
trailPrice := longStop
dirLong := true
else
if dirLong
trailPrice := math.max(trailPrice, longStop)
dirLong := src > trailPrice
else
trailPrice := math.min(trailPrice, shortStop)
dirLong := src > trailPrice
rawBuy = dirLong and not dirLong
rawSell = not dirLong and dirLong
// Apply Volatility Filter
buySignal = rawBuy and volatilityOK
sellSignal = rawSell and volatilityOK
// === Entry & Label Storage
var float entryPrice = na
var bool lastSignalIsBuy = na
var label tp1Lbl = na
var label tp2Lbl = na
var label tp3Lbl = na
var label slLbl = na
var line tp1Line = na
var line tp2Line = na
var line tp3Line = na
var line slLine = na
if buySignal or sellSignal
if not na(tp1Lbl)
label.delete(tp1Lbl)
if not na(tp2Lbl)
label.delete(tp2Lbl)
if not na(tp3Lbl)
label.delete(tp3Lbl)
if not na(slLbl)
label.delete(slLbl)
if not na(tp1Line)
line.delete(tp1Line)
if not na(tp2Line)
line.delete(tp2Line)
if not na(tp3Line)
line.delete(tp3Line)
if not na(slLine)
line.delete(slLine)
entryPrice := close
lastSignalIsBuy := buySignal
tp1 = entryPrice + (buySignal ? 1 : -1) * atr
tp2 = entryPrice + (buySignal ? 2 : -2) * atr
tp3 = entryPrice + (buySignal ? 3 : -3) * atr
sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier
tp1Lbl := label.new(bar_index, tp1, "TP1\n" + str.tostring(tp1, format.mintick),
style=label.style_label_right,
color=buySignal ? tp1BuyColor : tp1SellColor,
textcolor=color.black)
tp2Lbl := label.new(bar_index, tp2, "TP2\n" + str.tostring(tp2, format.mintick),
style=label.style_label_right,
color=buySignal ? tp2BuyColor : tp2SellColor,
textcolor=color.white)
tp3Lbl := label.new(bar_index, tp3, "TP3\n" + str.tostring(tp3, format.mintick),
style=label.style_label_right,
color=buySignal ? tp3BuyColor : tp3SellColor,
textcolor=color.white)
slLbl := label.new(bar_index, sl, "SL\n" + str.tostring(sl, format.mintick),
style=label.style_label_right,
color=buySignal ? slBuyColor : slSellColor,
textcolor=color.white)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1,
color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2,
color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed)
tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3,
color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed)
slLine := line.new(bar_index, sl, bar_index + 1, sl,
color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed)
// === Plot Signals
plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Alerts
alertcondition(buySignal, title="Buy Alert", message="Buy Signal!")
alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Daily Manipulation and Distribution Levels with Buy/Sell SignalsIndicator Summary:
This indicator is designed for intraday traders, highlighting key price levels and providing simple buy/sell signals based on price manipulation and distribution concepts.
Key Features:
Core Levels:
Manipulation Plus/Minus: Derived from the daily open and a portion of the daily range (e.g., 25%).
Distribution Levels: Daily high and low serve as ultimate targets or resistance/support levels.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the Manipulation Plus level. A green "BUY" label marks the entry.
Sell Signal: Triggered when the price crosses below the Manipulation Minus level. A red "SELL" label marks the entry.
Clean Chart Design:
Hides unnecessary clutter, showing only relevant key levels and labeled signals for clarity.
How to Use:
Entry Points:
Buy Entry: When a green "BUY" label appears after the price breaks above the Manipulation Plus level.
Sell Entry: When a red "SELL" label appears after the price breaks below the Manipulation Minus level.
Exit Strategy:
Take Profit: Use the Distribution Levels (daily high/low) as take-profit zones.
Stop Loss: Set just above/below the Manipulation Levels to manage risk effectively.
One to Two Trades per Session: Focus on high-probability moves to ensure clarity and reduce overtrading.
Who It’s For:
This indicator is ideal for traders seeking a structured and visual approach to intraday trading, with clear entry/exit criteria based on price manipulation and distribution theory. It simplifies decision-making and ensures clean chart setups without overwhelming visuals.
Position Size CalculatorThe provided Pine Script is a custom indicator titled "Position Size Calculator" designed to assist traders in calculating the appropriate size of a trading position based on predefined risk parameters. This script is intended to be overlaid on a trading chart, as indicated by `overlay=true`, allowing traders to visualize and adjust their risk and position size directly within the context of their trading strategy.
What It Does:
The core functionality of this script revolves around calculating the position size a trader should take based on three input parameters:
**Risk in USD (`Risk`)**: This represents the amount of money the trader is willing to risk on a single trade.
**Entry Price (`EntryPrice`)**: The price at which the trader plans to enter the market.
**Stop Loss (`StopLoss`)**: The price at which the trader plans to exit the market should the trade move against them, effectively limiting their loss.
The script calculates the position size using a function named `calculatePositionSize`, which performs the following steps:
It first calculates the `expectedLoss` by taking 90% (`0.9`) of the input risk. This implies that the script factors in a safety margin, assuming traders are willing to risk up to 90% of their stated risk amount per trade.
It then calculates the position size based on the distance between the Entry Price and the Stop Loss. This calculation adjusts based on whether the Entry Price is higher or lower than the Stop Loss, ensuring that the position size fits the risk profile regardless of trade direction.
The function returns several values: `risk`, `entryPrice`, `stopLoss`, `expectedLoss`, and `size`, which are then plotted on the chart.
How It Does It:
**Expected Loss Calculation**: By reducing the risk by 10% before calculating position size, the script provides a buffer to account for slippage or to ensure the trader does not fully utilize their risk budget on a single trade.
**Position Size Calculation**: The script calculates position size by dividing the adjusted risk (`expectedLoss`) by the price difference between the Entry Price and Stop Loss. This gives a quantitative measure of how many units of the asset can be bought or sold while staying within the risk parameters.
What Traders Can Use It For:
Traders can use this Position Size Calculator for several purposes:
- **Risk Management**: By determining the appropriate position size, traders can ensure that they do not overexpose themselves to market risk on a single trade.
- **Trade Planning**: Before entering a trade, the script allows traders to visualize their risk, entry, and exit points, helping them to make more informed decisions.
- **Consistency**: Using a standardized method for calculating position size helps traders maintain consistency in their trading approach, a key aspect of successful trading strategies.
- **Efficiency**: Automating the calculation of position size saves time and reduces the likelihood of manual calculation errors.
Overall, this Pine Script indicator is a practical tool for traders looking to implement strict risk management rules within their trading strategies, ensuring that each trade is sized appropriately according to their risk tolerance and market conditions.
Position Size Calculator (EzAlgo)Upon adding the indicator to the chart, you will be prompted to place entry price lines, stop loss price line, and multiple take profit price lines by clicking at the desired price level on the chart.
Section Summaries
Table Settings: Allows users to select position and font size from drop-down menus. Displays current settings and potential profit/loss values.
Price Points: Users can set their Entry and select whether they want to include a DCA entry, Stop Loss price, Liquidation Buffer %, Take Profit levels and the amount of position to close at each level.
Risk Management: Users fill out their Account Size, set their Risk % (or fixed $ amount) for each Entry, set Manual Leverage, or allow the indicator to automatically choose the leverage based on the Stop Loss price distance from Entry and the Risk % per Entry.
User-Input Descriptions
DCA Price: The price at which users initiate their second, equally sized and leveraged position when using a Dollar-Cost Averaging (DCA) strategy. Upon reaching the DCA Price, the Entry Price adjusts to the Avg Price, calculated as the midpoint between initial and DCA entries.
Liquidation Buffer: A pre-set percentage that determines how close to the Stop Loss a position can get before it's liquidated. This assists the Auto Leverage feature in optimizing the leverage amount according to risk tolerance.
Risk per Entry: The proportion of the account, in % or a fixed dollar amount, that users are willing to risk for each trading position. If DCA is checked, this will assume users are entering with half of the total position size per entry.
Automatic Leverage: Auto Leverage automatically determines the optimal leverage level for a trade based on the user's Stop Loss price distance from the Entry point and the user-defined risk percentage per Entry. It also considers a user-defined Liquidation Buffer, which is a preset percentage determining how close to the Stop Loss a position can get before it's liquidated. This tool allows traders to optimize their leverage amount according to their risk tolerance.
Max Leverage: The highest leverage level users are willing to use, even if the exchange permits higher. This limit applies when the Auto Leverage feature is enabled.
Momentum Volume Divergence (MVD) EnhancedMomentum Volume Divergence (MVD) Enhanced is a powerful indicator that detects price-momentum divergences and momentum suppression for reversal trading. Optimized for XRP on 1D charts, it features dynamic lookbacks, ATR-adjusted thresholds, and SMA confirmation. Signals include strong divergences (triangles) and suppression warnings (crosses). Includes a detailed user guide—try it out and share your feedback!
Setup: Add to XRP 1D chart with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA crossovers. See full guide for details!
Disclaimer: This indicator is for educational purposes only, not financial advice. Trading involves risk—use at your discretion.
Momentum Volume Divergence (MVD) Enhanced Indicator User Guide
Version: Pine Script v6
Designed for: TradingView
Recommended Use: XRP on 1-day (1D) chart
Date: March 18, 2025
Author: Herschel with assistance from Grok 3 (xAI)
Overview
The Momentum Volume Divergence (MVD) Enhanced indicator is a powerful tool for identifying price-momentum divergences and momentum suppression patterns on XRP’s 1-day (1D) chart. Plotted below the price chart, it provides clear visual signals to help traders spot potential reversals and trend shifts.
Purpose
Detect divergences between price and momentum for buy/sell opportunities.
Highlight momentum suppression as warnings of fading trends.
Offer actionable trading signals with intuitive markers.
Indicator Components
Main Plot
Volume-Weighted Momentum (vw_mom): Blue line showing momentum adjusted by volume.
Above 0 = bullish momentum.
Below 0 = bearish momentum.
Zero Line: Gray dashed line at 0, separating bullish/bearish zones.
Key Signals
Strong Bearish Divergence:
Marker: Red triangle at the top.
Meaning: Price makes a higher high, but momentum weakens, confirmed by a drop below the 5-day SMA.
Action: Potential sell/short signal.
Strong Bullish Divergence:
Marker: Green triangle at the bottom.
Meaning: Price makes a lower low, but momentum strengthens, confirmed by a rise above the 5-day SMA.
Action: Potential buy/long signal.
Bearish Suppression:
Marker: Orange cross at the top + red background.
Meaning: Strong bullish momentum with low volume in a volume downtrend, suggesting fading strength.
Action: Warning to avoid longs or exit early.
Bullish Suppression:
Marker: Yellow cross at the bottom + green background.
Meaning: Strong bearish momentum with low volume in a volume uptrend, suggesting fading weakness.
Action: Warning to avoid shorts or exit early.
Debug Plots (Optional)
Volume Ratio: Gray line (volume vs. its MA) vs. yellow line (threshold).
Momentum Threshold: Purple lines (positive/negative momentum cutoffs).
Smoothed Momentum: Orange line (raw momentum).
Confirmation SMA: Purple line (price trend confirmation).
Labels
Text labels (e.g., "Bear Div," "Bull Supp") mark detected patterns.
How to Use the Indicator
Step-by-Step Trading Process
1. Monitor the Chart
Load your XRP 1D chart with the indicator applied.
Observe the blue vw_mom line and signal markers.
2. Spot a Signal
Primary Signals: Look for red triangles (strong_bear) or green triangles (strong_bull).
Warnings: Note orange crosses (suppression_bear) or yellow crosses (suppression_bull).
3. Confirm the Signal
For Strong Bullish Divergence (Buy):
Green triangle appears.
Price closes above the 5-day SMA (purple line) and a recent swing high.
Optional: Volume ratio (gray line) exceeds the threshold (yellow line).
For Strong Bearish Divergence (Sell):
Red triangle appears.
Price closes below the 5-day SMA and a recent swing low.
Optional: Volume ratio (gray line) falls below the threshold (yellow line).
4. Enter the Trade
Long:
Buy at the close of the signal bar.
Stop loss: Below the recent swing low or 2 × ATR(14) below entry.
Short:
Sell/short at the close of the signal bar.
Stop loss: Above the recent swing high or 2 × ATR(14) above entry.
5. Manage the Trade
Take Profit:
Aim for a 2:1 or 3:1 risk-reward ratio (e.g., risk $0.05, target $0.10-$0.15).
Or exit when an opposite suppression signal appears (e.g., orange cross for longs).
Trailing Stop:
Move stop to breakeven after a 1:1 RR move.
Trail using the 5-day SMA or 2 × ATR(14).
Early Exit:
Exit if a suppression signal appears against your position (e.g., suppression_bull while short).
6. Filter Out Noise
Avoid trades if a suppression signal precedes a divergence within 2-3 days.
Optional: Add a 50-day SMA on the price chart:
Longs only if price > 50-SMA.
Shorts only if price < 50-SMA.
Example Trades (XRP 1D)
Bullish Trade
Signal: Green triangle (strong_bull) at $0.55.
Confirmation: Price closes above 5-SMA and $0.57 high.
Entry: Buy at $0.58.
Stop Loss: $0.53 (recent low).
Take Profit: $0.63 (2:1 RR) or exit on suppression_bear.
Outcome: Price hits $0.64, exit at $0.63 for profit.
Bearish Trade
Signal: Red triangle (strong_bear) at $0.70.
Confirmation: Price closes below 5-SMA and $0.68 low.
Entry: Short at $0.67.
Stop Loss: $0.71 (recent high).
Take Profit: $0.62 (2:1 RR) or exit on suppression_bull.
Outcome: Price drops to $0.61, exit at $0.62 for profit.
Tips for Success
Combine with Price Levels:
Use support/resistance zones (e.g., weekly pivots) to confirm entries.
Monitor Volume:
Rising volume (gray line above yellow) strengthens signals.
Adjust Sensitivity:
Too many signals? Increase div_strength_threshold to 0.7.
Too few signals? Decrease to 0.3.
Backtest:
Review 20-30 past signals on XRP 1D to assess performance.
Avoid Choppy Markets:
Skip signals during low volatility (tight price ranges).
Troubleshooting
No Signals:
Lower div_strength_threshold to 0.3 or mom_threshold_base to 0.2.
Check if XRP’s volatility is unusually low.
False Signals:
Increase sma_confirm_length to 7 or add a 50-SMA filter.
Indicator Not Loading:
Ensure the script compiles without errors.
Customization (Optional)
Change Colors: Edit color.* values (e.g., color.red to color.purple).
Add Alerts: Use TradingView’s alert menu for "Strong Bearish Divergence Confirmed," etc.
Test Other Assets: Experiment with BTC or ETH, adjusting inputs as needed.
Disclaimer
This indicator is for educational purposes only and not financial advice. Trading involves risk, and past performance does not guarantee future results. Use at your own discretion.
Setup: Use on XRP 1D with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA cross. Stop: 2x ATR(14). Profit: 2:1 RR or suppression exit. Full guide available separately!
RSI Failure Swing Pattern (with Alerts & Targets)RSI Failure Swing Pattern Indicator – Detailed Description
Overview
The RSI Failure Swing Pattern Indicator is a trend reversal detection tool based on the principles of failure swings in the Relative Strength Index (RSI). This indicator identifies key reversal signals by analyzing RSI swings and confirming trend shifts using predefined overbought and oversold conditions.
Failure swing patterns are one of the strongest RSI-based reversal signals, initially introduced by J. Welles Wilder. This indicator detects these patterns and provides clear buy/sell signals with labeled entry, stop-loss, and profit target levels. The tool is designed to work across all timeframes and assets.
How the Indicator Works
The RSI Failure Swing Pattern consists of two key structures:
1. Bullish Failure Swing (Buy Signal)
Occurs when RSI enters oversold territory (below 30), recovers, forms a higher low above the oversold level, and finally breaks above the intermediate swing high in RSI.
Step 1: RSI dips below 30 (oversold condition).
Step 2: RSI rebounds and forms a local peak.
Step 3: RSI retraces but does not go below the previous low (higher low confirmation).
Step 4: RSI breaks above the previous peak, confirming a bullish trend reversal.
Buy signal is triggered at the breakout above the RSI peak.
2. Bearish Failure Swing (Sell Signal)
Occurs when RSI enters overbought territory (above 70), declines, forms a lower high below the overbought level, and then breaks below the intermediate swing low in RSI.
Step 1: RSI rises above 70 (overbought condition).
Step 2: RSI declines and forms a local trough.
Step 3: RSI bounces but fails to exceed the previous high (lower high confirmation).
Step 4: RSI breaks below the previous trough, confirming a bearish trend reversal.
Sell signal is triggered at the breakdown below the RSI trough.
Features of the Indicator
Custom RSI Settings: Adjustable RSI length (default 14), overbought/oversold levels.
Buy & Sell Signals: Buy/sell signals are plotted directly on the price chart.
Entry, Stop-Loss, and Profit Targets:
Entry: Price at the breakout of the RSI failure swing pattern.
Stop-Loss: Lowest low (for buy) or highest high (for sell) of the previous two bars.
Profit Targets: Two levels calculated based on Risk-Reward ratios (1:1 and 1:2 by default, customizable).
Labeled Price Levels:
Entry Price Line (Blue): Marks the point of trade entry.
Stop-Loss Line (Red): Shows the calculated stop-loss level.
Target 1 Line (Orange): Profit target at 1:1 risk-reward ratio.
Target 2 Line (Green): Profit target at 1:2 risk-reward ratio.
Alerts for Trade Execution:
Buy/Sell signals trigger alerts for real-time notifications.
Alerts fire when price reaches stop-loss or profit targets.
Works on Any Timeframe & Asset: Suitable for stocks, forex, crypto, indices, and commodities.
Why Use This Indicator?
Highly Reliable Reversal Signals: Unlike simple RSI overbought/oversold strategies, failure swings filter out false breakouts and provide strong confirmation of trend reversals.
Risk Management Built-In: Stop-loss and take-profit levels are automatically set based on historical price action and risk-reward considerations.
Easy-to-Use Visualization: Clearly marked entry, stop-loss, and profit target levels make it beginner-friendly while still being valuable for experienced traders.
How to Trade with the Indicator
Buy Trade Example (Bullish Failure Swing)
RSI drops below 30 and recovers.
RSI forms a higher low and then breaks above the previous peak.
Entry: Buy when RSI crosses above its previous peak.
Stop-Loss: Set below the lowest low of the previous two candles.
Profit Targets:
Target 1 (1:1 Risk-Reward Ratio)
Target 2 (1:2 Risk-Reward Ratio)
Sell Trade Example (Bearish Failure Swing)
RSI rises above 70 and then declines.
RSI forms a lower high and then breaks below the previous trough.
Entry: Sell when RSI crosses below its previous trough.
Stop-Loss: Set above the highest high of the previous two candles.
Profit Targets:
Target 1 (1:1 Risk-Reward Ratio)
Target 2 (1:2 Risk-Reward Ratio)
Final Thoughts
The RSI Failure Swing Pattern Indicator is a powerful tool for traders looking to identify high-probability trend reversals. By using the RSI failure swing concept along with built-in risk management tools, this indicator provides a structured approach to trading with clear entry and exit points. Whether you’re a day trader, swing trader, or long-term investor, this indicator helps in capturing momentum shifts while minimizing risk.
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