FOMC Volatility & FVG TrackerThis is a brand new Indicator, not yet tested!, as of 1/29/2025, 1:55 PM EST.
How It Works (hopefully):
🔹 Orange background → High volatility FOMC release window
🔹 Green FVG zones → Bullish FVGs (potential support)
🔹 Red FVG zones → Bearish FVGs (potential resistance)
🔹 Blue VWAP line → Trend confirmation
תבניות גרפים
YAMIL//@version=6
indicator(title = 'MACD+RSI+KONCORDE YAMIL', shorttitle = 'MAC+RSI+KON YAMIL')
//KONCORDE
showkoncorde = input(true, title = 'Koncorde')
deltaKon = input(-700, title = 'KONCORDE - Desfase')
escalaKoncorde = input(2, 'Koncorde - Escala')
calc_mfi(length) =>
100.0 - 100.0 / (1.0 + math.sum(volume * (ta.change(hlc3) <= 0 ? 0 : hlc3), length) / math.sum(volume * (ta.change(hlc3) >= 0 ? 0 : hlc3), length))
tprice = ohlc4
lengthEMA = 255
m = 15
pvim = ta.ema(ta.pvi, m)
pvimax = ta.highest(pvim, 90)
pvimin = ta.lowest(pvim, 90)
oscp = (ta.pvi - pvim) * 100 / (pvimax - pvimin)
nvim = ta.ema(ta.nvi, m)
nvimax = ta.highest(nvim, 90)
nvimin = ta.lowest(nvim, 90)
azul = (ta.nvi - nvim) * 100 / (nvimax - nvimin)
xmf = calc_mfi(14)
mult = 2.0
basis = ta.sma(tprice, 25)
dev = mult * ta.stdev(tprice, 25)
upper = basis + dev
lower = basis - dev
OB1 = (upper + lower) / 2.0
OB2 = upper - lower
BollOsc = (tprice - OB1) / OB2 * 100
xrsi = ta.rsi(tprice, 14)
calc_stoch(src, length, smoothFastD) =>
ta.sma(100 * (src - ta.lowest(low, length)) / (ta.highest(high, length) - ta.lowest(low, length)), smoothFastD)
stoc = calc_stoch(tprice, 21, 3)
marron = (xrsi + xmf + BollOsc + stoc / 3) / 2
verde = marron + oscp
media = ta.ema(marron, 21) //
vl = plot(showkoncorde ? verde * escalaKoncorde + deltaKon : na, color = color.new(#25BC00, 0), style = plot.style_columns, histbase = deltaKon, linewidth = 4, title = 'Manos Chicas')
ml = plot(showkoncorde ? marron * escalaKoncorde + deltaKon : na, color = color.new(#FFC34C, 0), style = plot.style_columns, histbase = deltaKon, linewidth = 4, title = 'Koncorde - marron')
al = plot(showkoncorde ? azul * escalaKoncorde + deltaKon : na, color = color.new(#6C3AFF, 0), style = plot.style_columns, histbase = deltaKon, linewidth = 4, title = 'Manos Grandes')
plot(showkoncorde ? marron * escalaKoncorde + deltaKon : na, color = color.new(#000000, 0), linewidth = 1, title = 'Koncorde - lmarron')
plot(showkoncorde ? media * escalaKoncorde + deltaKon : na, color = color.new(#FF0000, 0), linewidth = 1, title = 'Koncorde - media')
hline(-700, color = color.black, linestyle = hline.style_solid)
// MACD
// Getting inputs
showmacd = input(true, title = 'MADC')
deltaMacd = input(700, title = 'MACD - Desfase')
multMacd = input(5, title = 'MACD - Escala')
fast_length = input(title = 'MACD - Fast Length', defval = 12)
slow_length = input(title = 'MACD - Slow Length', defval = 26)
src = input(title = 'MACD - Source', defval = close)
signal_length = input.int(title = 'MACD - Signal Smoothing', minval = 1, maxval = 50, defval = 9)
sma_source = input(title = 'MACD - Simple MA(Oscillator)', defval = false)
sma_signal = input(title = 'MACD - Simple MA(Signal Line)', defval = false)
// Plot colors
col_grow_above = #2AFF00
col_grow_below = #FF0000
col_fall_above = #168500
col_fall_below = #980000
col_macd = #0042FF
col_signal = #FFA200
// Calculating
// = macd(close, fastLength, slowLength, signalLength)
fast_ma = sma_source ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = (fast_ma - slow_ma) / slow_ma * 1000 * multMacd
signal = sma_signal ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal
plot(showmacd ? bool(hist) ? hist + deltaMacd : na : na, title = 'MACD - Histogram', style = plot.style_columns, color = hist >= 0 ? hist < hist ? col_grow_above : col_fall_above : hist < hist ? col_grow_below : col_fall_below, histbase = deltaMacd)
plot(showmacd ? bool(macd) ? macd + deltaMacd : na : na, title = 'MACD', color = color.new(col_macd, 0), linewidth = 1)
plot(showmacd ? bool(signal) ? signal + deltaMacd : na : na, title = 'MACD - Signal', color = color.new(col_signal, 0), linewidth = 1)
hline(700, color = color.black, linestyle = hline.style_solid, linewidth = 1)
// STOCH (14,3,1)
showrsi = input(true, title = 'RSI - STOCH')
deltaRSI = input(0, title = 'RSI/STOCH - Desfase')
multip = input(5, title = 'RSI/STOCH - Escala')
deltaSTOCH = deltaRSI - 50 * multip / 2
length = input.int(14, minval = 1, title = 'STOCH - Periodo')
smoothK = input.int(1, minval = 1, title = 'STOCH - Smooth K')
smoothD = input.int(3, minval = 1, title = 'STOCH - Smooth D')
k = ta.sma(ta.stoch(close, high, low, length), smoothK)
d = ta.sma(k, smoothD)
// RSI
bandm = hline(showrsi ? 0 + deltaRSI : na, color = color.black, linewidth = 1, linestyle = hline.style_solid)
band0 = hline(showrsi ? -20 * multip + deltaRSI : na, color = color.new(#59FF00, 0), linewidth = 1, linestyle = hline.style_dotted)
band1 = hline(showrsi ? 20 * multip + deltaRSI : na, color = color.new(#FF0000, 0), linewidth = 1, linestyle = hline.style_dotted)
fill(band1, band0, color = color.new(#FFFF00, 75), title = 'Background')
lengthRSI = input.int(14, minval = 1, title = 'RSI - Periodo')
RSIMain = ta.rsi(close, lengthRSI) - 50
rsiPlot = plot(showrsi ? RSIMain * multip + deltaRSI : na, color = color.new(#000000, 0), linewidth = 1)
// Media móvil en RSI
lengthMA = input.int(21, minval = 1, title = 'RSI - Media Móvil Ponderada Periodo')
RSIMA = ta.wma(RSIMain * multip + deltaRSI, lengthMA)
plot(showrsi ? RSIMA : na, color = color.new(#78FF00, 0), linewidth = 1, title = 'RSI - Media Móvil')
// STOCH (14,3,1) en RSI
showstoch = input(true, title = 'STOCH - RSI')
deltaSTOCH_RSI = input(100, title = 'STOCH - RSI Desfase')
kRSI = ta.sma(ta.stoch(RSIMain, RSIMain, RSIMain, length), smoothK)
dRSI = ta.sma(kRSI, smoothD)
plot(false ? bool(kRSI) ? kRSI + deltaSTOCH_RSI : na : na, title = 'STOCH - RSI K', color = color.new(#0000FF, 0), linewidth = 1)
plot(false ? bool(dRSI) ? dRSI + deltaSTOCH_RSI : na : na, title = 'STOCH - RSI D', color = color.new(#FFA500, 0), linewidth = 1)
High of Specific Date//@version=5
indicator("High of Specific Date", overlay=true)
// Input for the specific date
input_date = input.time(timestamp("2023-10-01"), title="Specific Date", confirm=true)
// Check if the current bar's date matches the input date
is_target_date = (time == input_date)
// Get the high of the target candle
var float target_high = na
if is_target_date
target_high := high
// Draw a horizontal line at the high of the target candle
line.new(x1=bar_index, y1=target_high, x2=bar_index + 1, y2=target_high, color=color.red, width=2, extend=extend.right)
// Optional: Label to show the high value
if not na(target_high)
label.new(x=bar_index, y=target_high, text=str.tostring(target_high), color=color.white, textcolor=color.black, style=label.style_label_down, size=size.small)
CRYPTO Wall Street HoursAdjust to your Time.
Use with 8h Chart.
Shows only bars of WALLSTREET hours.
Sathanand crossoverThis Moving Average Crossover indicator uses two lines:
1️⃣ Short Moving Average (Short MA - Blue Line)
This is the faster moving average (default: 50-period).
It reacts quickly to price changes.
When it crosses above the Long MA → Buy Signal 📈
When it crosses below the Long MA → Sell Signal 📉
2️⃣ Long Moving Average (Long MA - Red Line)
This is the slower moving average (default: 200-period).
It smooths out long-term trends and avoids short-term fluctuations.
Acts as a trend confirmation line—staying above means an uptrend, below means a downtrend.
Buy & Sell Signals:
✅ Green "Up" Arrow (Buy Signal) → Short MA crosses above Long MA → Uptrend starts
✅ Red "Down" Arrow (Sell Signal) → Short MA crosses below Long MA → Downtrend starts
📊 In Short:
The crossover strategy helps identify trend reversals
Useful for trend-following traders
Works well in strong trending markets, but may give false signals in sideways markets
RSI and MACD Buy/Sell Strategy with Signals//@version=5
indicator("RSI and MACD Buy/Sell Strategy with Signals", overlay=true)
// Define RSI and MACD parameters
rsiPeriod = 14
macdShort = 12
macdLong = 26
macdSignal = 9
// Calculate RSI
rsi = ta.rsi(close, rsiPeriod)
// Calculate MACD
= ta.macd(close, macdShort, macdLong, macdSignal)
macdHist = macdLine - signalLine
// Define buy and sell conditions
buyCondition = (rsi < 30) and (macdHist < -7 or macdHist < -8)
sellCondition = (rsi > 60) and (macdHist > 6)
// Plot Buy and Sell signals directly on the main price chart
plotshape(series=buyCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal", text="BUY", textcolor=color.white, size=size.small)
plotshape(series=sellCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL", textcolor=color.white, size=size.small)
High-Leverage Futures Trading Strategy//@version=5
indicator("High-Leverage Futures Trading Strategy", shorttitle="HL Futures", overlay=true)
// Input Parameters
risk_per_trade = input.float(5, title="Risk per Trade (%)", minval=1, maxval=100)
atr_multiplier = input.float(1.5, title="ATR Stop-Loss Multiplier", minval=0.1, maxval=5)
ema_fast_length = input.int(50, title="Fast EMA Length", minval=1)
ema_slow_length = input.int(200, title="Slow EMA Length", minval=1)
rsi_length = input.int(14, title="RSI Length", minval=1)
macd_fast = input.int(12, title="MACD Fast Length", minval=1)
macd_slow = input.int(26, title="MACD Slow Length", minval=1)
macd_signal = input.int(9, title="MACD Signal Length", minval=1)
// Force 4-Hour Timeframe
is_4h = (timeframe.period == "240")
if not is_4h
label.new(bar_index, high, "Use 4H timeframe", color=color.red, textcolor=color.white, style=label.style_label_down)
// Moving Averages
ema_fast = ta.ema(close, ema_fast_length)
ema_slow = ta.ema(close, ema_slow_length)
// Trend Identification
long_condition = close > ema_fast and ema_fast > ema_slow
short_condition = close < ema_fast and ema_fast < ema_slow
// RSI
rsi = ta.rsi(close, rsi_length)
rsi_long = rsi < 30
rsi_short = rsi > 70
// MACD
= ta.macd(close, macd_fast, macd_slow, macd_signal)
macd_long = ta.crossover(macd_line, signal_line)
macd_short = ta.crossunder(macd_line, signal_line)
// ATR for Stop-Loss
atr = ta.atr(14)
stop_loss_long = close - atr * atr_multiplier
stop_loss_short = close + atr * atr_multiplier
// Volume Confirmation
volume_spike = volume > ta.sma(volume, 20) * 1.5
// Entry Signals
entry_long = long_condition and macd_long and rsi_long and volume_spike
entry_short = short_condition and macd_short and rsi_short and volume_spike
// Plot EMAs
plot(ema_fast, color=color.blue, title="50 EMA")
plot(ema_slow, color=color.red, title="200 EMA")
// Plot Buy and Sell Signals
plotshape(entry_long, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, size=size.small)
plotshape(entry_short, title="Sell Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, size=size.small)
// Alerts
alertcondition(entry_long, title="Long Entry", message="Go LONG: High-leverage entry detected.")
alertcondition(entry_short, title="Short Entry", message="Go SHORT: High-leverage entry detected.")
Bullish Candle After 20 SMA Cross Up 200 SMA PGBullish Candle After 20 SMA Cross Up 200 SMA. Indicate whether there is a possibility of a uptrend
Ebuka Moving Average Crossover Strategy with Volume FilterThe provided Pine Script defines a trading strategy that can generate buy and sell signals on TradingView charts. If you'd like to automate the strategy to trade on Binance while you sleep, follow these steps:
Tight Consolidation With Contracting Volume1. Price is above EMA20 by 0-3%
2. EMA20 is above EMA50 by 1%-3%
3. Latest close is positive
4. Latest volume is lower than 20 day average by at least 30%
5. Show signal as an arrow below the candle
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.
[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
Buy Signal with FVG Confirmation (1h,15m,5m)Key Changes:
FVG Conditions Added to buySignal:
The buy signal now requires FVGs on all three timeframes (1h, 15m, 5m) in addition to your original criteria.
buySignal = ... and fvg1h and fvg15m and fvg5m
Simplified FVG Detection:
The detectFVG function now only returns the fvgBullish boolean (no need to return price levels).
How to Use:
Apply to 1-Hour Chart:
The script works best on a 1-hour chart since it combines daily, hourly, and lower timeframe (15m/5m) logic.
Interpret Signals:
A green triangle appears below the price bar when all conditions align, including FVGs on 1h, 15m, and 5m.
Use the shaded FVG zones (teal, orange, purple) to visually confirm gaps.
Set Alerts:
Create an alert in TradingView to notify you when the buySignal triggers.
Important Notes:
Multi-Timeframe Limitations:
Lower timeframe FVGs (15m/5m) are fetched using request.security, which may cause slight repainting on the 1-hour chart.
FVGs are evaluated based on the most recent completed bar in their respective timeframes.
Strategy Strictness:
Requiring FVGs on three timeframes makes the signal very selective. Adjust the logic (e.g., fvg1h or fvg15m) if you prefer fewer restrictions
JM204r System
### 3. **Fibonacci in the Context of Trading**
Fibonacci retracements and extensions are used to identify potential support and resistance levels:
- **Retracement Levels**: Common levels are 23.6%, 38.2%, 50%, 61.8%, and 78.6%.
- **Extension Levels**: Used for targets or breakouts, such as 127.2%, 161.8%, and beyond.
- Traders use these levels alongside CHOCH to confirm price action at key zones.
---
### 4. **with Fibonacci & CHOCH Filter**
**Key Features of the JOYBB_v4Fo Implementation:**
1. - Measure volatility using standard deviation and a moving average.
- Upper, Middle, and Lower Bands are dynamic support/resistance zones.
2. **Fibonacci Filter:**
- Overlay Fibonacci retracement levels on price movements.
- Check confluence between Fibonacci levels and Bollinger Bands.
3. **CHOCH Confirmation:**
- Identify CHOCH zones (key breakouts or breakdowns of structural highs and lows).
- Apply this as a secondary filter for trend confirmation or reversal.
4. **Logic Workflow:**
- Check if the price reacts at a key Fibonacci level (e.g., 61.8%).
- Confirm reversal or continuation via CHOCH (e.g., breaking prior highs/lows).
- Output signal: Enter a trade or avoid false signals by requiring confluence.
5. **Customization:**
- Inputs: Fibonacci levels, CHOCH thresholds.
- Output: Signals on charts (e.g., arrows, zones), buy/sell alerts.
The JM204r trading system identifies trend reversals by detecting breaks in market structure highs/lows. It combines price action with key tools like Fibonacci levels and Bollinger Bands for precise entries/exits.
Improved Scalping Strategy with Alerts//@version=5
indicator("Improved Scalping Strategy with Alerts", overlay=true)
// EMA Settings for Scalping
emaLength = input.int(9, title="EMA Length")
emaValue = ta.ema(close, emaLength)
plot(emaValue, title="EMA", color=color.blue, linewidth=2)
// Volume Analysis for Scalping
volumeThreshold = input.float(2.0, title="Volume Threshold")
volumeSignal = volume > ta.sma(volume, 10) * volumeThreshold
bgcolor(volumeSignal ? color.new(color.blue, 90) : na, title="Volume Signal")
// RSI Settings for Scalping
rsiLength = input.int(9, title="RSI Length")
rsiValue = ta.rsi(close, rsiLength)
overbought = 70
oversold = 30
plot(rsiValue, title="RSI", color=color.purple, linewidth=2)
hline(overbought, "Overbought", color=color.red)
hline(oversold, "Oversold", color=color.green)
// MACD Settings for Scalping
fastLength = input.int(6, title="MACD Fast Length")
slowLength = input.int(13, title="MACD Slow Length")
signalSmoothing = input.int(5, title="MACD Signal Smoothing")
= ta.macd(close, fastLength, slowLength, signalSmoothing)
plot(macdLine, title="MACD Line", color=color.blue, linewidth=1)
plot(signalLine, title="Signal Line", color=color.red, linewidth=1)
// Strong Bullish and Bearish Conditions for Scalping
strongBullish = rsiValue > 70 and macdLine > signalLine and close > emaValue and volumeSignal
strongBearish = rsiValue < 30 and macdLine < signalLine and close < emaValue and volumeSignal
// Buy/Sell Signals for Scalping
buySignal = strongBullish
sellSignal = strongBearish
// Plot Buy/Sell Signals on Chart
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT")
// Alerts for Scalping
alertcondition(buySignal, title="Long Trade Alert", message="Strong Bullish Signal: Consider LONG Trade")
alertcondition(sellSignal, title="Short Trade Alert", message="Strong Bearish Signal: Consider SHORT Trade")
// Additional Alerts for Confirmation
confirmationBullish = ta.crossover(macdLine, signalLine) and rsiValue > 50 and close > emaValue and volumeSignal
confirmationBearish = ta.crossunder(macdLine, signalLine) and rsiValue < 50 and close < emaValue and volumeSignal
alertcondition(confirmationBullish, title="Confirmation Bullish Alert", message="Confirmation Bullish Signal: Consider LONG Trade")
alertcondition(confirmationBearish, title="Confirmation Bearish Alert", message="Confirmation Bearish Signal: Consider SHORT Trade")
Pivot Powerup (Indy)Pivot powerup(indy) Indicator for TradingView
This script calculates and plots daily Pivot Points (P, R1, R2, R3, S1, S2, S3) on the price chart. Pivot Points are key levels used in technical analysis to identify potential support and resistance areas.
Key Features
Calculates daily Pivot Points using the standard formula.
Plots Pivot Point (P), Resistance levels (R1, R2, R3), and Support levels (S1, S2, S3).
Overlays the levels on the price chart for easy visualization.
How to Use
Copy and paste the script into the Pine Script editor on TradingView.
Add the indicator to your chart.
The Pivot Points will be automatically calculated and plotted based on the previous day's high, low, and close prices.
Cautions
This indicator is based on the previous day's data. It may not be accurate in highly volatile markets.
Always use Pivot Points in conjunction with other technical analysis tools for better accuracy.
Customization
To customize the indicator, modify the formula in the calculate_pivot_points function.
You can also change the colors or line widths of the plotted levels by editing the plot() functions.
Credits
Created by Zhongli2566. Feel free to use and modify this script.
Pivot Powerup indy for tradingviewThis script calculates and plots Pivot Points (P, R1, R2, R3, S1, S2, S3) on the price chart. Pivot Points are key levels used in technical analysis to identify potential support and resistance areas.
Features :
- Calculates daily Pivot Points using the standard formula.
- Plots Pivot Point (P), Resistance levels (R1, R2, R3), and Support levels (S1, S2, S3).
- Overlays the levels on the price chart for easy visualization.
- No user-configurable parameters in this version.
- This indicator is based on the previous day's data. It may not be accurate in highly volatile markets.
- Always use Pivot Points in conjunction with other technical analysis tools for better accuracy.
- To customize the indicator, modify the formula in the `calculate_pivot_points` function.
- You can also change the colors or line widths of the plotted levels by editing the `plot()` functions.
Created by chakrint. Feel free to use and modify this script.
Star Pattern IdentifierThe Star Pattern Identifier is a custom TradingView indicator designed to detect and mark Morning Star (MS) and Evening Star (ES) candlestick patterns, which are powerful reversal signals. This indicator offers a flexible and customizable approach by incorporating adjustable parameters for both the size and volume of the third candle in the pattern.
Key Features:
Morning Star (MS) : A bullish reversal pattern that occurs after a downtrend.
Evening Star (ES) : A bearish reversal pattern that occurs after an uptrend.
Adjustable Parameters:
Third Candle Size Multiplier : Define how large the body of the third candle should be relative to the second candle (default is 2x).
Third Candle Volume Multiplier : Control the minimum volume of the third candle in relation to the second candle (default is 0.5x).
The script ensures that the third candle’s volume is at least 50% of the second candle's volume and that its body is at least twice the size of the second candle, to filter out weaker signals.
The patterns are marked directly on the chart with "MS" (Morning Star) or "ES" (Evening Star) labels for easy identification.
Practical Use:
Use this indicator to spot potential trend reversals with more confidence by ensuring strong candlestick body and volume conditions.
Customize the parameters to suit your trading strategy and preferences.
How it Works:
The indicator looks for a bearish first candle , followed by a bullish or indecisive second candle , and a bullish third candle for the Morning Star pattern.
For the Evening Star, the indicator looks for a bullish first candle , followed by a bearish or indecisive second candle , and a bearish third candle .
The size and volume of the third candle are checked to ensure it meets the set parameters, confirming the strength of the reversal signal.
This tool is perfect for traders seeking to spot reversal signals in the market.
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9-20 EMA Crossover with TP and SL9-20 EMA Crossover: This script tracks the crossover of the 9-period EMA and the 20-period EMA.
When the 9 EMA crosses above the 20 EMA, a buy signal is triggered.
When the 9 EMA crosses below the 20 EMA, a sell signal is triggered.
Take Profit and Stop Loss Levels:
The take profit for a long position is set at 3% above the entry price (close * 1.03).
The stop loss for a long position is set at 1% below the entry price (close * 0.99).
The take profit for a short position is set at 3% below the entry price (close * 0.97).
The stop loss for a short position is set at 1% above the entry price (close * 1.01).
Leverage: The strategy uses 20x leverage for both long and short positions (leverage=20).
Alerts: Alerts are set up for the buy signal when the 9 EMA crosses above the 20 EMA and the sell signal when the 9 EMA crosses below the 20 EMA. These alerts can be used with a webhook to trigger trades on Binance Futures.
Strategy:
For long trades: The strategy enters a long position and sets a take profit at 3% above the entry price and a stop loss at 1% below the entry price.
For short trades: The strategy enters a short position and sets a take profit at 3% below the entry price and a stop loss at 1% above the entry price.
9-20 EMA Crossover with TP and SL9-20 EMA Crossover: This script tracks the crossover of the 9-period EMA and the 20-period EMA.
When the 9 EMA crosses above the 20 EMA, a buy signal is triggered.
When the 9 EMA crosses below the 20 EMA, a sell signal is triggered.
Take Profit and Stop Loss Levels:
The take profit for a long position is set at 3% above the entry price (close * 1.03).
The stop loss for a long position is set at 1% below the entry price (close * 0.99).
The take profit for a short position is set at 3% below the entry price (close * 0.97).
The stop loss for a short position is set at 1% above the entry price (close * 1.01).
Leverage: The strategy uses 20x leverage for both long and short positions (leverage=20).
Alerts: Alerts are set up for the buy signal when the 9 EMA crosses above the 20 EMA and the sell signal when the 9 EMA crosses below the 20 EMA. These alerts can be used with a webhook to trigger trades on Binance Futures.
Strategy:
For long trades: The strategy enters a long position and sets a take profit at 3% above the entry price and a stop loss at 1% below the entry price.
For short trades: The strategy enters a short position and sets a take profit at 3% below the entry price and a stop loss at 1% above the entry price.