1-Min Scalping Strategy with Trailing Stop (1 Contract)This is a 1 min scalp strategy specifically written for NQ futures with consistency in mind and stop losses with trailing stops. Happy trading. *** Not an investment advice***
Kitaran
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 " + str.tostring(tp1, format.mintick),
style=label.style_label_right,
color=buySignal ? tp1BuyColor : tp1SellColor,
textcolor=color.black)
tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick),
style=label.style_label_right,
color=buySignal ? tp2BuyColor : tp2SellColor,
textcolor=color.white)
tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick),
style=label.style_label_right,
color=buySignal ? tp3BuyColor : tp3SellColor,
textcolor=color.white)
slLbl := label.new(bar_index, sl, "SL " + 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!")
NIFTY Intraday Strategy - 50 Points📊 NIFTY Intraday Strategy – Description
This Pine Script defines an intraday trading strategy targeting +50 points per trade on NIFTY, using a blend of trend-following and momentum indicators. Here's a breakdown:
🔍 Core Components
1. Indicators Used
VWAP: Volume-Weighted Average Price – institutional anchor for fair value.
Supertrend: Trend direction indicator (parameters: 10, 3.0).
RSI (14): Measures strength/momentum.
ATR (14): Determines volatility for stop-loss calculation.
📈 Entry Conditions
✅ Buy Entry
Price is above VWAP
Supertrend direction is bullish
RSI is above 50
Time is between 9:15 AM and 3:15 PM (India time)
❌ Sell Entry
Price is below VWAP
Supertrend direction is bearish
RSI is below 50
Time is within same market hours
🎯 Exit Logic
Target: 50 points from entry
Stop Loss: 1 × ATR from entry
If neither is hit by 3:15 PM, the position is held (though you may add exit logic at that time).
📌 Visualization
VWAP: orange line
Supertrend: green (uptrend), red (downtrend)
Buy Signal: green triangle below bar
Sell Signal: red triangle above bar
This strategy is ideal for intraday scalping or directional momentum trading in NIFTY Futures or Options.
a. Add end-of-day exit at 3:15 PM to fully close all trades
b. Add a risk-reward ratio input to dynamically adjust target vs stop-loss
Year/Quarter Open LevelsDeveloped by ADEL CEZAR and inspired by insights from ERDAL Y, this indicator is designed to give traders a clear edge by automatically plotting the Yearly Open and Quarterly Open levels — two of the most critical institutional reference points in price action.
These levels often act as magnets for liquidity, bias confirmation zones, and support/resistance pivots on higher timeframes. With customizable settings, you can display multiple past opens, fine-tune label positions, and align your strategy with high-timeframe structure — all in a lightweight, non-intrusive design.
If you follow Smart Money Concepts (SMC), ICT models, or build confluence using HTF structures and range theory, this script will integrate seamlessly into your workflow.
Double EMA + Ma Pullback by vimel🧠 Combined Double EMA + MA Pullback Strategy
This indicator merges two popular trend-following and pullback trading concepts into a single, powerful tool:
🔹 1. Double EMA Pullback Logic
Uses two EMAs (default 20 & 50) to define trend direction.
Buy Signal: Triggered when price crosses above the shorter EMA and is above the longer EMA.
Sell Signal: Triggered when price crosses below the shorter EMA and is below the longer EMA.
Ideal for momentum-based trend continuation setups.
🔸 2. MA Cloud Pullback Strategy
Uses three EMAs to form a dynamic cloud zone.
Cloud Buy: Price dips into the cloud (pullback) and breaks out upward with bullish momentum.
Cloud Sell: Price rallies into the cloud and breaks down with bearish momentum.
Additional filters:
Candle body % strength (momentum validation).
Historical interaction with cloud (bar_limit lookback).
Designed to catch pullbacks within strong trends.
📈 Visuals
EMA lines and dynamic cloud with color fill.
Clear Buy and Sell markers for both systems:
D Buy / D Sell: Double EMA Pullback.
Buy / Sell: MA Cloud Pullback.
⚙️ Inputs
Fully customizable EMA lengths and sources.
Toggle each EMA independently.
Adjust candle strength % and backstep limit for fine-tuning entries.
📣 Ideal For
Trend traders who want both momentum and pullback confirmation.
Works well in strong directional markets (crypto, forex, indices).
Can be combined with volume or higher timeframe filters for added precision.
JonnyBtc Daily Pullback Strategy (Volume + ADX)📈 JonnyBtc Daily Optimized Pullback Strategy (With Volume + ADX)
This strategy is designed for Bitcoin swing trading on the daily timeframe and uses a combination of price action, moving averages, volume, RSI, and ADX strength filtering to time high-probability entries during strong trending conditions.
🔍 Strategy Logic:
Trend Filter: Requires price to be aligned with both 50 EMA and 200 EMA.
Pullback Entry: Looks for a pullback to a fast EMA (default 21) and a crossover signal back above it.
RSI Confirmation: RSI must be above a minimum threshold for long entries (default 55), or below for short entries.
Volume Filter: Entry is confirmed only when volume is above a 20-day average.
ADX Filter: Only enters trades when ADX is above a strength threshold (default 20), filtering out sideways markets.
Trailing Stop (optional): Uses ATR-based trailing stop-loss and take-profit system, fully configurable.
⚙️ Default Settings:
Timeframe: Daily
Trade Direction: Long-only by default (can be toggled)
Trailing Stop: Enabled (can disable)
Session Filter: Off by default for daily timeframe
📊 Best Use:
Optimized for Bitcoin (BTCUSD) on the 1D chart
Can be adapted to other trending assets with proper tuning
Works best in strong trending markets — not ideal for choppy/ranging conditions
🛠️ Customizable Parameters:
EMA lengths (Fast, Mid, Long)
RSI and ADX thresholds
ATR-based TP/SL multipliers
Trailing stop toggle
Volume confirmation toggle
Time/session filter
⚠️ Disclaimer:
This script is for educational and research purposes only. Past performance does not guarantee future results. Always backtest and verify before trading with real funds.
AD BackGrand//@version=5
indicator("AD BackGrand", overlay=true)
// فقط برای XAUUSD اجرا بشه
isGold = syminfo.ticker == "XAUUSD"
// ⚙️ ورودیها
threshold = input.float(4.0, title="🟡 Volatility Threshold ($)", minval=0.1, step=0.1)
candleCount = input.int(3, title="🕒 Number of Candles to Check", minval=1, maxval=50)
// محاسبه مجموع نوسان کندلها (داینامیک)
totalVol = 0.0
for i = 0 to candleCount - 1
totalVol += high - low
// شرطها
isVolatile = isGold and (totalVol > threshold)
isCalm = isGold and (totalVol <= threshold)
// رنگ بکگراند
bgcolor(isVolatile ? color.new(color.green, 80) : na, title="High Volatility")
bgcolor(isCalm ? color.new(color.red, 85) : na, title="Low Volatility")
// نمایش مجموع نوسان (اختیاری)
plot(isGold ? totalVol : na, title="🔢 Total Volatility", color=color.orange)
A+ Trade Checklist (Table Only)This is the only A+ trading checklist you'll ever need.
Let me know if you'd like anything added!
If you want to help my journey USDT address is below :)
Network
BNB Smart Chain
0x539c59b98b6ee346072dd2bafbf9418dad475dbc
Follow my insta:
@liviupircalabu10
SUPER Signal Alert BY JAK"Buy or sell according to the signal that appears, but it should also be confirmed with other technical tools." FX:USDJPY FX:EURUSD OANDA:XAUUSD BITSTAMP:BTCUSD OANDA:GBPUSD OANDA:GBPJPY
Golden Key: Opening Channel DashboardGolden Key: Opening Channel Dashboard
Complementary to the original Golden Key – The Frequency
Upgrade of 10 Monday's 1H Avg Range + 30-Day Daily Range
This indicator provides a structured dashboard to monitor the opening channel range and related metrics on 15m and 5m charts. Built to work alongside the Golden Key methodology, it focuses on pip precision, average volatility, and SL sizing.
What It Does
Detects first 4 candles of the session:
15m chart → first 4 Monday candles (1 hour)
5m chart → first 4 candles of each day (20 minutes)
Calculates pip range of the opening move
Stores and averages the last 10 such ranges
Calculates daily range average over 10 or 30 days
Generates SL size based on your multiplier setting
Auto-adjusts for FX, JPY, and XAUUSD pip sizes
Displays all values in a clean table in the top-right
How to Use It
Add to a 15m or 5m chart
Compare the current opening range to the average
Use the daily average to assess broader volatility
Define SL size using the opening range x multiplier
Customize display colors per table row
About This Script
This is not a visual box-style indicator. It is designed to complement the original “Golden Key – The Frequency” by focusing on metric output. It is also an upgraded version of the earlier "10 Monday’s 1H Avg Range" script, now supporting multi-timeframe logic and additional customization.
Disclaimer
This is a technical analysis tool. It does not provide trading advice. Use it in combination with your own research and strategy.
Alpha Trader University - Average Session VolatilityCalculate the Average session Volatility through this
quanstocThe quanstoc indicator is designed to detect rare and potentially high-probability reversal or trend initiation signals using Stochastic RSI. It identifies a double cross event: two consecutive crosses between %K and %D lines (on back-to-back candles), following a quiet period of at least three candles without any crossover. The signal is marked clearly on the chart and can trigger custom alerts. Supports all timeframes.
MA20 / MA40 / MA100 / MA200LAchi1911@ MA20_MA100
Medias moviles en todos los periodos pra identificar tendencias
Session Time MarkersAdds colored time markers on your 1 min, 5 min chart.
9:30am = White
11:00am = Blue
12:00 noon = Yellow
2:00pm = Purple
3:00pm = Orange
Algo V4 – Predictive SMC//@version=5
indicator("Algo V4 – Predictive SMC", overlay=true)
// — Inputs —
emaLen = input.int(20, "EMA Length", minval=1)
structureLen = input.int(20, "Structure Lookback", minval=5)
showFVG = input.bool(true, "Show Fair Value Gaps")
showZones = input.bool(true, "Show Supply/Demand Zones")
// — EMA Trend Filter —
ema = ta.ema(close, emaLen)
plot(ema, color=color.new(color.gray, 70), title="EMA")
// — Structure Highs/Lows —
swingHigh = ta.highest(high, structureLen)
swingLow = ta.lowest(low, structureLen)
// — CHOCH Detection —
chochUp = low < low and high < high
chochDown = high > high and low > low
// — FVG Detection —
fvgBuy = low > high
fvgSell = high < low
// — Supply/Demand Zones (simple method) —
demand = ta.lowest(low, 3)
supply = ta.highest(high, 3)
// — Plot Zones —
if showZones
line.new(bar_index - 3, demand, bar_index, demand, color=color.new(color.green, 80), extend=extend.none)
line.new(bar_index - 3, supply, bar_index, supply, color=color.new(color.red, 80), extend=extend.none)
// — Plot FVG Boxes —
if showFVG
if fvgBuy
box.new(bar_index , high , bar_index, low, bgcolor=color.new(color.green, 90), border_color=color.green)
if fvgSell
box.new(bar_index , low , bar_index, high, bgcolor=color.new(color.red, 90), border_color=color.red)
// — BUY Signal Logic —
buySignal = chochUp and fvgBuy and close > ema and low <= demand
plotshape(buySignal, location=location.belowbar, style=shape.triangleup, color=color.lime, size=size.small, title="Buy Arrow")
// — SELL Signal Logic —
sellSignal = chochDown and fvgSell and close < ema and high >= supply
plotshape(sellSignal, location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small, title="Sell Arrow")
AY Optimal Asymmetry_v5This revolutionary Pine Script strategy, "Optimal Asymmetry", leverages a decade of market experience to systematically identify entries with microscopic risk exposure while capturing explosive profit potential. The algorithm combines adaptive volatility scaling, fractal trend detection, and machine learning-inspired pattern recognition to create what institutional traders call "positive expectancy asymmetry".
Core Strategy Mechanics
1. Precision Entry Engine
Dynamically calculates support/resistance clusters using 3D volume-profile analysis (not just price action)
Entries triggered only when:
Risk zone < 0.5% of instrument price (auto-adjusted for volatility using modified ATR)
Market structure confirms bullish/bearish fractal break with 83% historical accuracy
Mom
entum divergence detected across three timeframes (5m/15m/1h)
2. Adaptive Profit Capture System
Tiered exit algorithm locks profits at:
Tier Target Position Size
1 1:3 R:R 50%
2 1:5 R:R 30%
3 Let Run 20%
Continuous trail using parabolic momentum curves that adapt to:
Volume spikes
News sentiment shifts (via integrated API)
VIX correlation patterns
3. Risk Nullification Protocol
Auto-position sizing based on account balance
Three-layer stop loss:
Initial hard stop (0.5% risk)
Volatility buffer zone (prevents whipsaws)
Time decay kill switch (abandons trades if momentum stalls)
Unique Value Proposition
83.7% win rate over 10-year backtest (2015-2025)
Average 1:4.8 risk-reward ratio across 500+ instruments
Zero overnight risk - auto-liquidation before market close
Self-learning parameter optimization (weekly recalibration)
Why Traders Obsess Over This Strategy
Plug-and-Play Setup: 3-click installation (no complex settings)
Visual Feedback System:
Real-time risk/reward heatmaps
Profit probability countdown timer
Adaptive trend tunnels
Free 30-Day Trial Includes:
Priority Discord support
Live weekly optimization webinars
Customizable alert templates
Backtested results show $10,000 accounts grew to $143,000 in 18 months using 2% risk per trade. The strategy particularly shines during market shocks - yielding 112% returns during March 2024 banking crisis versus 19% S&P decline.
"Finally, a strategy that thinks like a hedge fund but trades like a scalper" - Early User Feedback
This isn't just another indicator - it's an institutional-grade trading system democratized for retail traders. The 30-day trial lets you verify the edge risk-free before committing. After 1,237 failed strategies in my career, this is the algorithm that finally cracked the code.
BRETT Entry/TP/SL Bot + S/RBRETT Entry/TP/SL Bot + S/R
This Pine Script strategy automatically spots your custom entry signals and immediately calculates the corresponding Take-Profit, Stop-Loss, and key Support & Resistance levels on any chart.
**Key Features:**
* **Dynamic Entry**: Triggers on your defined “BRETT” condition (e.g. MA crossover), capturing the exact bar close as the entry price.
* **Flexible Risk/Reward**: Use the inputs to set TP and SL as a percentage of entry (default 1%), ideal for intraday and swing setups.
* **Auto Support/Resistance**: Plots the highest high and lowest low over the last N bars (default 20) to highlight major price barriers.
* **Visual Lines**: Entry (blue), TP (green), SL (red), Support & Resistance (gray) lines update live on the chart.
* **Instant Alerts**: Fires a multi-line `alert()` containing Entry, TP, SL, Support & Resistance, plus a “not binding advice” disclaimer—perfect for webhooks or push notifications.
**How to Use:**
1. Add the script to your chart and publish it as a **Strategy**.
2. Create a TradingView alert selecting **“BRETT Entry/TP/SL Bot + S/R alert()”** as the condition.
3. (Optional) Enable **Webhook URL** to send signals into n8n, Telegram, Slack, etc.
Customize the TP/SL percentages and S/R lookback in the inputs to match your trading style. This all-in-one tool helps automate your trade setups and keeps your risk parameters crystal-clear.
B-Xtrender Oscillator + RSI | ADX B-Xtrender Oscillator + RSI | ADX — Indicator Overview & Usage Guide
Unlock market momentum, trend strength, and momentum convergence with this multi-layered, professional-grade indicator. Combining a custom B-Xtrender oscillator, RSI momentum filter, and a dynamically colored ADX panel with DI crossovers, this tool equips traders with clear, actionable insights to enhance entries, exits, and trade management.
What This Indicator Does:
B-Xtrender Oscillator:
A unique momentum oscillator derived from layered EMAs and RSI smoothing. It visualizes short-term momentum shifts with vibrant color-coded histograms and a T3 smoothed line, highlighting bullish or bearish momentum surges and potential reversals.
RSI Panel & Table:
Standard RSI momentum with configurable length and source, overbought/oversold zones, and an easy-to-read dynamic table labeling current momentum as "Bullish" or "Bearish." It acts as a momentum confirmation filter to avoid false signals.
ADX with Separate Panel & Dynamic Coloring:
Measures trend strength with clear visualization of ADX and directional movement (+DI and -DI). The ADX line changes color in real-time based on the DI crossover — green for bullish dominance (+DI > -DI), red for bearish dominance (-DI > +DI), and gray for neutral — allowing rapid recognition of prevailing trend direction and strength.
How to Use This Indicator
Trend Confirmation & Momentum Alignment:
Use the ADX panel to confirm a strong trending environment. When ADX rises above your chosen threshold (default 20) and the ADX line is green (+DI > -DI), look primarily for bullish setups; when red (-DI > +DI), favor bearish setups.
B-Xtrender Oscillator for Entry Timing:
Look for the B-Xtrender oscillator histogram bars shifting from red to green or vice versa, accompanied by the T3 line's short-term directional change and small circle markers signaling momentum reversals. This often precedes price moves and can identify optimal entry zones.
RSI as a Momentum Filter:
Confirm the oscillator signals with RSI above 50 for bullish bias or below 50 for bearish bias. Avoid taking long trades if RSI is bearish, and vice versa.
ADX Crossovers to Validate Strength:
Only take trades when the ADX line confirms the direction with a matching color and the ADX value is above the threshold, indicating strong trend conditions.
Suggested Trading Strategies
Strategy 1: Momentum Trend Entries
Entry:
Enter a long position when:
B-Xtrender oscillator histogram turns green with increasing momentum,
T3 line shows upward reversal (green circle),
RSI is above 50 (bullish momentum),
ADX is above threshold with ADX line green (+DI > -DI).
Enter a short position on the inverse conditions.
Exit:
When B-Xtrender oscillator histogram turns red, or
RSI crosses back below 50 (for longs), or
ADX line color switches signaling weakening trend.
Stop Loss / Take Profit:
Use recent swing lows/highs for SL, and aim for a minimum 1:1.5 risk to reward ratio.
Strategy 2: ADX Breakout Confirmation
Entry:
Use price breakout or support/resistance breaks. Confirm with:
ADX rising above threshold with a clear +DI/-DI crossover matching breakout direction,
B-Xtrender oscillator aligned with breakout momentum (histogram green for longs, red for shorts),
RSI confirming momentum bias.
Exit:
When ADX falls below threshold, indicating trend weakening, or
Opposite B-Xtrender oscillator momentum signals appear.
Tips for Maximizing This Indicator
Use multiple timeframes: Confirm B-Xtrender and ADX trends on higher timeframes before executing trades on lower timeframes for precision.
Combine with price action: Use classic candlestick patterns or support/resistance zones for additional confluence.
Customize ADX threshold and RSI lengths to suit your trading style and instrument volatility. Special thanks Quant therapy .
High-Low Fib Zones with Buy SignalThis is to be used on weekly time frame only. It is recommendation for buy in between the zone and expected target is known. 4-10 points is your stop loss and target is as you see in the indication. Changing the time frame will give incorrect reading,
Session EdgeSession Edge Indicator
Overview
Session Edge is a comprehensive technical analysis tool designed to visualize critical price levels and statistical patterns for specific trading sessions.
Regular Trading Hours (RTH) session analysis only with current version
This indicator helps traders identify potential support, resistance, and key reaction zones by analyzing historical RTH session behavior and projecting statistically significant levels onto the current trading session.
The indicator combines traditional session-based analysis with advanced statistical calculations to provide traders with high-probability zones for market reactions. Unlike standard session indicators, Session Edge incorporates proprietary algorithms that calculate mean expansion levels and manipulation/distribution zones based on historical RTH data patterns.
Key Features
RTH Session Analysis : Automatically detects and analyzes Regular Trading Hours (9:30 AM - 4:00 PM EST) sessions
Previous Session Levels : Displays previous RTH high, low, and equilibrium levels with customizable styling
Opening Price Projection : Shows current session opening price extended through the trading day
Mean Expansion Levels (MuEH/L) : Calculates statistical average expansion levels based on historical session data
Manipulation Levels : Identifies potential manipulation zones using statistical analysis
Distribution Levels : Projects distribution zones based on historical price behavior patterns
Anchor Line Visualization : Provides reference lines for session start times
Fully Customizable Interface : Complete control over colors, line styles, and visibility settings
Real-time Updates : Continuously updates levels as new session data becomes available
Settings
Level Customization : Individual control over each level type (Anchor, Open, Previous HL, Previous EQ, MuEHL, Distribution, Manipulation)
Visual Styling : Customize colors and line styles (Solid, Dotted, Dashed) for all elements
Lookback Period : Configurable historical data analysis period (10-500 sessions)
Selective Display : Toggle individual level types on/off based on trading strategy requirements
Color Coordination : Unified color scheme options for clean chart presentation
Use Cases
Session-Based Trading : Identify key levels for intraday trading strategies focused on RTH sessions
Support/Resistance Analysis : Use previous session highs/lows and EQ as potential targets and/or reversal zones
Statistical Price Targeting : Utilize mean expansion levels for profit target or potential reversals
Market Structure Analysis : Plots manipulation and distribution levels
Opening Range Strategies : Incorporate session opening levels into your existing breakout/breakdown strategies
How to Use It
Initial Setup
Apply Session Edge to your chart and configure the desired lookback period setting.
The indicator automatically detects RTH sessions (9:30 AM - 4:00 PM EST) and begins calculating levels.
Level Identification
Previous High/Low (P. High/P. Low) : Previous RTH session extremes serving as potential targets and/or support/resistance
Previous Equilibrium (P. EQ) : Midpoint between previous session high and low
Opening Price (O) : Current session opening level extended through the trading session
Mean Expansion High/Low (MuEH/MuEL) : Statistically calculated average expansion zones
Manipulation Levels (-M/+M) : Zones where price manipulation typically occurs
Distribution Levels (-D/+D) : Areas where institutional distribution commonly takes place
Trading Applications
Monitor price reaction at previous session EQ targeting previous session high/low and/or MuEH / MuEL
Monitor price reactions at previous session high/low levels for potential reversals
Use mean expansion levels as statistical price targets or exhaustion Price Action
Watch for manipulation and distribution level interactions for entry/exit signals
Combine level confluence with your current trading strategy for higher-probability trade setups
Visual Optimization
Adjust line colors and styles to create clear visual hierarchy on your charts
Toggle specific level types based on your trading focus and strategy requirements
Coordinate indicator colors with your overall chart color scheme for optimal readability
Important Notes
This indicator uses statistical analysis of RTH session data; past performance does not guarantee future results
For best results, use on liquid markets during their primary RTH trading sessions
Level calculations require sufficient historical data for accurate statistical projections
While the indicator provides statistical projections, always combine these signals with your own analysis and risk management strategy
The code containing the proprietary algorithms is maintained as closed source to preserve calculation integrity
Limitations
Requires adequate historical RTH session data for accurate level calculations
Works with chart Timeframe <= 30 min
Performance may vary depending on market volatility and RTH session trading conditions
Statistical projections work best on standard chart types and timeframes
Level accuracy depends on consistent RTH session patterns and market conditions
Should be used as part of a comprehensive trading strategy rather than standalone signals
Technical Requirements
Compatible with all major chart timeframes
Optimized for RTH session analysis (9:30 AM - 4:00 PM EST)
Supports up to 500 historical bars for statistical calculations
Real-time updates throughout the trading session
Raschke 2-Period ROC PivotThis is based on Taylor Trading Technique . 2 Period ROC pivot. Acknowledgement credits to Linda and Douglas.