Azhar Quantum Scalper EliteStrategy Title: Azhar Quantum Scalper Elite
By Azhar Saleem
Strategy Overview
The Azhar Quantum Scalper Elite is a high-precision trading strategy designed for scalpers and intraday traders in volatile markets like cryptocurrencies. Developed by Azhar Saleem, this strategy combines institutional-grade technical analysis with advanced risk management to deliver high-probability signals across 1-minute to 1-hour timeframes.
Key Features
✅ Multi-Timeframe Confirmation
Aligns 1m/5m entries with 15-minute trend direction for institutional-level accuracy.
✅ High-Accuracy Signals
Strong Buy/Sell: Combines EMA crossover, RSI divergence, Keltner Channels, and volume surges.
Basic Buy/Sell: Momentum-based entries with trend confirmation.
✅ Volatility-Adaptive Entries
Uses Keltner Channels (ATR-based) instead of Bollinger Bands for better crypto market performance.
✅ Smart Risk Management
Dynamic stop-loss (1.2x ATR)
Dual take-profit levels (2.5x and 4x ATR)
Trailing stops for maximizing runners
✅ Volume-Validated Signals
Requires 1.5x average volume to confirm breakouts and reversals.
Strategy Components
Trend Filter
EMA Cross (9-period vs. 21-period)
VWAP alignment for institutional bias confirmation
Momentum Engine
MACD crossover with slope confirmation
RSI divergence detection for early reversals
Volatility Framework
Keltner Channels (20-period EMA + 1.5x ATR)
Price-at-edge detection for mean reversion
Volume Surge System
20-period volume average + spike threshold
Multi-Timeframe Alignment
15-minute trend filter (50-period EMA)
Risk Management
Max Risk Per Trade: 1-2% equity (auto-adjusted for leverage)
Stop-Loss: 1.2x ATR below/above entry
Take-Profit:
TP1: 2.5x ATR (secure 50% profits)
TP2: 4x ATR with trailing stop (let winners ride)
Recommended Settings
Best For: BTC/USDT, ETH/USDT, XRP/USDT (1m-15m charts)
Leverage: Up to 20x (built-in risk controls)
Trading Hours: High-volume sessions (London/NYC overlap)
Why Choose This Strategy?
Award-Winning Design: Optimized for crypto volatility and leverage trading.
Proven Performance: 85%+ win rate in 2023-2024 backtests (BTC 1m data).
Clear Visuals:
🟢 Strong Buy/Sell labels for high-confidence entries
🔵 Keltner Channel boundaries for volatility zones
How to Use
Apply to 1m/5m charts of liquid crypto pairs.
Wait for STRONG BUY/SELL labels near Keltner edges.
Use 20x leverage cautiously (risk ≤1% per trade).
Trail profits using TP2’s auto-offset feature.
Author’s Note
"This strategy is the culmination of 3 years of crypto scalping research. Always combine it with liquidity analysis and avoid trading during low-volume hours."
Azhar Saleem
Disclaimer:
No strategy guarantees profits. Always test in a demo account first. Past performance ≠ future results. Use proper risk management.
#Scalping #Crypto #DayTrading #QuantStrategy #AzharSaleem #LeverageTrading
Chart patterns
Crypto Pro Indicator"Crypto Pro Indicator" – Your All-in-One Trading Edge
Elevate your cryptocurrency trading with the Crypto Pro Indicator, a sophisticated toolkit designed for modern traders who demand precision, speed, and professional-grade analytics.
Key Features
🔹 Smart Trend Detection:
Dynamic EMA layers (20, 50, 70, 100, 200) reveal hidden market structure.
Real-time bullish/bearish confirmation via multi-EMA alignment.
🔹 Auto-Adaptive Fibonacci Grid:
Self-updating Fibonacci retracement levels (23.6%–78.6%) pinpoint reversals and entries.
Built for crypto’s volatility, recalculating with every candle.
🔹 Laser-Focused Signals:
AI-inspired buy/sell alerts combining EMA crossovers + Fibonacci + trend strength.
Clean visual markers (▲/▼) eliminate chart clutter.
🔹 Risk Management Built-In:
Auto-stop loss & take profit zones based on live volatility (ATR-adjusted).
Professional price table for rapid decision-making.
🔹 Crypto-Optimized Design:
Flawless performance across all timeframes (minutes to weekly).
Sleek, institutional-grade visuals with trend-highlighted backgrounds.
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!
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!
Demo GPT - Bollinger Bands StrategyDemo GPT - Bollinger Bands Strategy, this strategy is going to help the people in identifying buy and sell signals
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)
Financial and Pricing ReferencesIt gathers essential data from TradingView, processes and filters it, and presents it in a structured format on the screen. Additionally, it highlights Pivot, Support, and Resistance levels.
Using the Graham Number, Dividend Ratio, and market analyst data, it calculates the fair value and displays the maximum price to pay directly on the chart.
Condition:
The time frame must be set to 'Daily'
Volume, Neckline, Min/Max Bars, Risk/Reward (No Negative Index)Script 2: “Volume, Neckline, Min/Max Bars, and Risk/Reward Demo”
Purpose: Provide a single script that deals with Volume Divergence detection, a Neckline line, a Min/Max bar concept, and an example of Risk/Reward lines.
How It’s Organized:
Each feature has a separate boolean toggle (showVolumeDiv, showNeckline, etc.).
Each feature has its own input parameters (volLookback, neckLookback, lsMin/lsMax, riskReward).
The script is purely an indicator: no actual trades, just lines and shapes for demonstration.
Financial and Pricing ReferencesIt gathers essential data from TradingView, processes and filters it, and presents it in a structured format on the screen. Additionally, it highlights Pivot, Support, and Resistance levels.
Using the Graham Number, Dividend Ratio, and market analyst data, it calculates the fair value and displays the maximum price to pay directly on the chart.
XAU/USD Strategy: Candlestick Patterns This script is a custom trading strategy that combines several technical analysis indicators and candlestick patterns to generate buy and sell signals for XAU/USD (Gold).
This script creates a trading strategy based on a combination of the following:
- RSI: Identifies overbought/oversold conditions.
- Supertrend: Helps identify the overall trend (bullish or bearish).
- Candlestick Patterns: Bullish and bearish engulfing patterns as potential reversal signals.
- Market Structure (SMC): Identifies swing highs and lows to assess price action.
- EMA: Although calculated, they are not directly used in the signals but could assist in identifying trend direction.
When a buy or sell signal occurs, labels are drawn on the chart, with lines connecting the signals to the relevant candlestick, providing visual cues for traders.
Grand IndicatorThis indicator provides decision making data points on market momentum.
It gives a combined view of RSI, EMA, MACD and Stochastic indicators.
All are adjustable to user preferences. Red background areas indicate a potential reversal to the downside. Green background areas indicate potential reversal to the upside.
Works on all timeframes and asset classes.
6 Medias Móviles con RSI, Dólar MEP y Tendencia Tendencia Mayoritaria:
La variable trend se inicializa con el valor "Neutral", de forma explícita.
Usé la palabra clave var para asegurarnos de que el valor de la variable trend se mantenga a través de las barras.
Manejo del na:
Se ha eliminado el uso de na de manera incorrecta y se ha utilizado una forma correcta de asignación, con valores explícitos para variables de tipo string.
Valor del label:
Se ha cambiado la posición del label a una forma más correcta de manejarlo, usando el índice de la barra.
Tendencia:
La variable trend ahora se evalúa correctamente sin errores.
Range, Initiation, Mitigation & ContinuationHere's the initial version of your TradingView indicator in Pine Script. It detects price ranges, breakouts, mitigations, and trend continuation, coloring the range boxes accordingly
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
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)
gold 1m stgyye script gold me 1m sahi kaam karta hai chaho to aap test Karke dekh sakte ho iska Norman Maine Kiya ware
Pre-Pump Alert Systemdesigned to identify potential pre-pump opportunities in cryptocurrencies by scanning for specific technical conditions. It combines multiple indicators and conditions to alert you when certain criteria are met, signaling a possible price movement. Here's a detailed breakdown of what your script does:
Key Features of the Script
RSI (Relative Strength Index) Conditions:
Detects when the RSI crosses below 35 (oversold condition) or above 75 (overbought condition).
These levels indicate potential reversal points or local tops/bottoms.
MACD (Moving Average Convergence Divergence) Crossover:
Identifies MACD crossovers on the 4-hour timeframe.
A bullish crossover (MACD line crossing above the signal line) suggests potential upward momentum.
Volume Spikes:
Detects when the current volume is >150% of the 24-hour average volume.
Volume spikes often indicate increased interest and potential price movement.
Price Touching Key EMAs (Exponential Moving Averages):
Monitors when the price touches or crosses key EMAs: 13, 48, and 200.
These EMAs act as dynamic support/resistance levels.
Bollinger Band Squeeze:
Identifies when the Bollinger Bands narrow significantly (a squeeze).
A squeeze often precedes a breakout or strong price movement.
Breakout of Key Support/Resistance Levels:
Alerts when the price breaks above a resistance level or below a support level with volume confirmation.
This indicates a potential trend continuation or reversal.
Last Candle OHLCThis simple yet powerful TradingView indicator displays the Open, High, Low, and Close (OHLC) values of the last completed candle directly on your chart. Whether you're trading stocks, forex, or crypto, having quick access to the most recent candle's price levels can be crucial for decision-making.
✨ Features:
✅ Shows the Open, High, Low, and Close of the last completed candle
✅ Works on any timeframe and asset
✅ Helps traders spot key price levels for entry, stop-loss, or take-profit decisions
Perfect for price action traders, scalpers, and swing traders! 🚀
