Momentum Breakout Signal//@version=5
indicator("Momentum Breakout Signal", overlay=true)
// === Breakout Logic ===
length = 20 // Lookback for recent high
recentHigh = ta.highest(high, length)
// === Breakout Condition: Close > prior high
priceBreakout = close > recentHigh
// === Volume Spike Confirmation ===
volumeSMA = ta.sma(volume, 20)
volumeSpike = volume > volumeSMA * 1.3 // Customize sensitivity
// === Optional: Filter for strong candles only
isGreen = close > open
decentRange = (high - low) > (close * 0.003)
// === Final Signal Logic ===
signal = priceBreakout and volumeSpike and isGreen and decentRange
plotshape(signal, title="Breakout Signal", location=location.abovebar, color=color.orange, style=shape.triangleup, size=size.small)
alertcondition(signal, title="Momentum Breakout Alert", message="🚀 {{ticker}} breakout confirmed at {{close}}")
Chart-Muster
Avengers Ultimate V5 (Watch Profit)"Designed as a trend-following system, this strategy integrates the core principles of legends like Mark Minervini, Stan Weinstein, William O'Neil, and Jesse Livermore. It has been fine-tuned for the Korean market and provides distinct entry and exit protocols for different market scenarios."
Gould 10Y + 4Y patternDescription:
Overview This indicator is a comprehensive tool for macro-market analysis, designed to visualize historical market cycles on your chart. It combines Edson Gould’s famous Decennial Pattern with a Customizable 4-Year Cycle (e.g., 2002 base) to help traders identify long-term trends, potential market bottoms, and strong bullish years.
This tool is ideal for long-term investors and analysts looking for cyclical confluence on monthly or yearly timeframes (e.g., SPX, NDX).
Key Concepts
Edson Gould’s Decennial Pattern (10-Year Cycle)
Based on the theory that the stock market follows a psychological cycle determined by the last digit of the year.
5 (Strongest Bull): Historically the strongest performance years.
7 (Panic/Crash): Years often associated with market panic or crashes.
2 (Bottom/Buy): Years that often mark major lows.
Custom 4-Year Cycle (Target Year Strategy)
Identify recurring 4-year opportunities based on a user-defined base year.
Default Setting (Base 2002): Highlights years like 2002, 2006, 2010, 2014, 2018, 2022... which have historically been significant market bottoms or excellent buying opportunities.
When a "Target Year" arrives, the indicator highlights the background and displays a distinct Green "Target Year" Label.
Features
Real-time Dashboard: A table in the top-right corner displays the current year's status for both the 10-Year and 4-Year cycles, including a countdown to the next target year.
Dynamic Labels: Automatically marks every year on the chart with its Decennial status (e.g., "Strong Bull (5)", "Panic (7)").
Visual Highlighting:
Target Years: Distinct green background and labels for easy identification of the 4-year cycle.
Significant Decennial Years: Special small markers for years ending in 5 and 7.
Fully Customizable: You can change the base year for the 4-year cycle, toggle the dashboard, and adjust colors via the settings menu.
How to Use
Apply this indicator to high-timeframe charts (Weekly or Monthly) of major indices like S&P 500 or Nasdaq.
Look for confluence between the 10-Year Pattern (e.g., Year 6 - Bullish) and the 4-Year Cycle (Target Year) to confirm long-term bias.
Disclaimer This tool is for educational and research purposes only based on historical cycle theories. Past performance is not indicative of future results. Always manage your risk.
HD Trades📊 ICT Confluence Toolkit (FVG, OB, SMT)
This All-in-One indicator is designed for Smart Money Concepts (SMC) traders, providing visual confirmation and signaling for three critical Inner Circle Trader (ICT) tools directly on your chart: Fair Value Gaps (FVG), Order Blocks (OB), and Smart Money Technique (SMT) Divergence.
It eliminates the need to load multiple indicators, streamlining your analysis for high-probability setups.
🔑 Key Features
1. Fair Value Gaps (FVG)
Automatic Detection: Instantly highlights bullish (buy-side) and bearish (sell-side) imbalances using the standard three-candle pattern.
Real-Time Mitigation: Gaps are drawn until price trades into the FVG zone, at which point the indicator automatically "mitigates" and removes the box, ensuring your chart stays clean.
2. Order Blocks (OB)
Impulse-Based Logic: Identifies valid Order Blocks (the last opposing candle) confirmed by a strong, structure-breaking impulse move, quantified using an Average True Range (ATR) multiplier for dynamic sensitivity.
Mitigation Tracking: Bullish OBs are tracked until broken below the low, and Bearish OBs until broken above the high, distinguishing between active supply/demand zones.
3. SMT Divergence (Smart Money Technique)
Multi-Asset Comparison: Utilizes the Pine Script request.security() function to compare the swing structure of the current chart against a correlated asset (e.g., EURUSD vs. GBPUSD, or ES vs. NQ).
Signal Labels: Plots clear 🐂 SMT (Bullish) or 🐻 SMT (Bearish) labels directly on the chart when a divergence in market extremes is detected, signaling a potential reversal or continuation based on internal market weakness.
⚙️ Customization
All three components are toggleable and feature customizable colors and lookback periods, allowing you to fine-tune the indicator to your specific trading strategy and preferred timeframes.
Crucial Setup: For SMT Divergence to function, you must enter a correlated symbol (e.g., NQ1!, ES1!, or a related Forex pair) in the indicator settings.
Yit's Risk CalculatorIntroducing a risk a bulletproof risk calculator.
I'm tired of sitting on my brokerage, messing with my shares to buy while price action leaves me in the dust.
For my breakout strategy execution is everything i dont have time to stop and think.
within the Indicator settings you have free reign to change account size and risk%
*the stop loss is glued to the low of the day*
AnAn FastKnife MNQ • V7 PRO (AI Signals + R/R + Dashboard)ai script developed to test the market and the speed and the volatility an the important signals
Futures Momentum Scanner – jyoti//@version=5
indicator("Futures Momentum Scanner – Avvu Edition", overlay=false, max_lines_count=500)
//------------------------------
// USER INPUTS
//------------------------------
rsiLen = input.int(14, "RSI Length")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
stLength = input.int(10, "Supertrend Length")
stMult = input.float(3.0, "Supertrend Multiplier")
//------------------------------
// SUPER TREND
//------------------------------
= ta.supertrend(stMult, stLength)
trendUp = stDirection == 1
//------------------------------
// RSI
//------------------------------
rsi = ta.rsi(close, rsiLen)
rsiBull = rsi > 50 and rsi < 65
//------------------------------
// MACD
//------------------------------
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdBull = macd > signal and macd > 0
//------------------------------
// MOVING AVERAGE TREND
//------------------------------
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendStack = ema20 > ema50 and ema50 > ema200
//------------------------------
// BREAKOUT LOGIC
//------------------------------
prevHigh = ta.highest(high, 20)
breakout = close > prevHigh
//------------------------------
// FINAL SCANNER LOGIC
//------------------------------
bullishCandidate = trendUp and rsiBull and macdBull and trendStack and breakout
//------------------------------
// TABLE OUTPUT FOR SCANNER FEEL
//------------------------------
var table t = table.new(position.top_right, 1, 1)
if barstate.islast
msg = bullishCandidate ? "✔ BUY Candidate" : "– Not a Setup"
table.cell(t, 0, 0, msg, bgcolor=bullishCandidate ? color.new(color.green, 0) : color.new(color.red, 70))
//------------------------------
// ALERT
//------------------------------
alertcondition(bullishCandidate, title="Scanner Trigger", message="This stock meets Avvu's futures scanner criteria!")
Session High/LowSession High Low
Trading Sessions
Forex Sessions (oder Futures Sessions, je nachdem, was du handelst)
Pine Script Indicator
Intraday Levels
Market Sessions
High Low Lines
Day Trading Tools
ICT Key Levels: PDH / PDL / Daily Open//@version=5
indicator("ICT Key Levels: PDH / PDL / Daily Open", shorttitle="ICT Levels", overlay=true)
// --- Inputs
showPD = input.bool(true, "Mostrar PDH/PDL")
showOpen = input.bool(true, "Mostrar Daily Open")
pdhColor = input.color(color.new(color.green, 0), "Color PDH")
pdlColor = input.color(color.new(color.red, 0), "Color PDL")
openColor = input.color(color.new(color.orange, 0), "Color Daily Open")
lineWidth = input.int(1, "Ancho líneas", minval=1, maxval=4)
// --- Previous day high / low (using daily security)
pdh = request.security(syminfo.tickerid, "D", high )
pdl = request.security(syminfo.tickerid, "D", low )
// --- Daily open (current day's open on Daily timeframe)
dailyOpen = request.security(syminfo.tickerid, "D", open)
// --- Plots
plot(showPD and not na(pdh) ? pdh : na, title="PDH", color=pdhColor, linewidth=lineWidth, style=plot.style_line)
plot(showPD and not na(pdl) ? pdl : na, title="PDL", color=pdlColor, linewidth=lineWidth, style=plot.style_line)
plot(showOpen and not na(dailyOpen) ? dailyOpen : na, title="Daily Open", color=openColor, linewidth=lineWidth, style=plot.style_line)
// --- Optional: etiquetas en inicio de día (solo en la primera barra diaria)
isNewDay = ta.change(time("D"))
labelNewDayOpen = input.bool(true, "Mostrar etiqueta en apertura diaria")
if labelNewDayOpen and isNewDay
label.new(bar_index, dailyOpen, text="Open", style=label.style_label_down, color=color.new(openColor,50), textcolor=color.black, yloc=yloc.price)
PIVOT AND ICHIMOKU BACKGROUND BY PRANOJIT DEYIt shows pivot bias in relation to day open line and it also shows ichimoku bullish trend background. good for option buyers to understand market bias.
ORB indicatorthis indicator marks out the first 15 min high and low on the candle that opens in each session, very easy to read and minimalist
Fair Value Gaps (FVG)This indicator automatically detects Fair Value Gaps (FVGs) using the classic 3-candle structure (ICT-style).
It is designed for traders who want clean charts and relevant FVGs only, without the usual clutter from past sessions or tiny, meaningless gaps.
Key Features
• Bullish & Bearish FVG detection
Identifies imbalances where price fails to trade efficiently between candles.
• Automatic FVG removal when filled
As soon as price trades back into the gap, the box is deleted in real time – no more outdated zones on the chart.
• Only shows FVGs from the current session
At the start of each new session, all previous FVGs are cleared.
Perfect for intraday traders who only care about today’s liquidity map.
• Flexible minimum gap size filter
Avoid noise by filtering FVGs using one of three modes:
Ticks (based on market tick size)
Percent (relative to current price)
Points (absolute price distance)
• Right-extension option
Keep gaps extended forward in time or limit them to the candles that created them.
Why This Indicator?
Many FVG indicators overwhelm the chart with zones from previous days or tiny imbalances that don’t matter.
This version keeps things clean, meaningful, and real-time accurate, ideal for day traders who rely on market structure and liquidity.
My script//@version=5
indicator("LTF Multi-Condition BUY Signal (v5 clean)", overlay=true, max_labels_count=100, max_lines_count=100)
// ───────────────── INPUTS ─────────────────
pivot_len = input.int(4, "Pivot sensitivity (structure)", minval=2, maxval=12)
range_len = input.int(20, "Range lookback for breakout", minval=5)
htf_tf = input.timeframe("480", "HTF timeframe (8H+)")
reclaim_window = input.int(5, "Reclaim window (bars)", minval=1)
ema_fast_len = input.int(9, "EMA fast length")
ema_slow_len = input.int(21, "EMA slow length")
rsi_len = input.int(14, "RSI length")
rsi_pivot_len = input.int(4, "RSI pivot sensitivity")
rsi_div_lookback = input.int(30, "RSI divergence max lookback (bars)")
daily_vol_mult = input.float(1.0, "Daily volume vs SMA multiplier", step=0.1)
htf_vol_sma_len = input.int(20, "HTF volume SMA length")
require_reclaim = input.bool(true, "Require HTF reclaim")
use_aggressive_HL = input.bool(false, "Aggressive HL detection")
// ───────────────── BASE INDICATORS ─────────────────
emaFast = ta.ema(close, ema_fast_len)
emaSlow = ta.ema(close, ema_slow_len)
rsiVal = ta.rsi(close, rsi_len)
// ───────────────── DAILY CHECKS (VOLUME & OBV) ─────────────────
// Daily OBV and previous value
daily_obv = request.security(syminfo.tickerid, "D",
ta.cum(ta.change(close) > 0 ? volume : ta.change(close) < 0 ? -volume : 0))
daily_obv_prev = request.security(syminfo.tickerid, "D",
ta.cum(ta.change(close) > 0 ? volume : ta.change(close) < 0 ? -volume : 0) )
// Daily volume & SMA
daily_vol = request.security(syminfo.tickerid, "D", volume)
daily_vol_sma = request.security(syminfo.tickerid, "D", ta.sma(volume, 20))
daily_vol_ok = not na(daily_vol) and not na(daily_vol_sma) and daily_vol > daily_vol_sma * daily_vol_mult
daily_obv_ok = not na(daily_obv) and not na(daily_obv_prev) and daily_obv > daily_obv_prev
// ───────────────── HTF SUPPORT / RECLAIM ─────────────────
htf_high = request.security(syminfo.tickerid, htf_tf, high)
htf_low = request.security(syminfo.tickerid, htf_tf, low)
htf_close = request.security(syminfo.tickerid, htf_tf, close)
htf_volume = request.security(syminfo.tickerid, htf_tf, volume)
htf_vol_sma = request.security(syminfo.tickerid, htf_tf, ta.sma(volume, htf_vol_sma_len))
htf_bull_reject = not na(htf_high) and not na(htf_low) and not na(htf_close) and (htf_close - htf_low) > (htf_high - htf_close)
htf_vol_confirm = not na(htf_volume) and not na(htf_vol_sma) and htf_volume > htf_vol_sma
htf_support_level = (htf_bull_reject and htf_vol_confirm) ? htf_low : na
// Reclaim: LTF close back above HTF support within N bars
reclaimed_now = not na(htf_support_level) and close > htf_support_level and ta.barssince(close <= htf_support_level) <= reclaim_window
htf_reclaim_ok = require_reclaim ? reclaimed_now : true
// ───────────────── STRUCTURE: BOS & HL (CoC) ─────────────────
swingHighVal = ta.pivothigh(high, pivot_len, pivot_len)
swingLowVal = ta.pivotlow(low, pivot_len, pivot_len)
swingHighCond = not na(swingHighVal)
swingLowCond = not na(swingLowVal)
lastSwingHigh = ta.valuewhen(swingHighCond, swingHighVal, 0)
prevSwingHigh = ta.valuewhen(swingHighCond, swingHighVal, 1)
lastSwingLow = ta.valuewhen(swingLowCond, swingLowVal, 0)
prevSwingLow = ta.valuewhen(swingLowCond, swingLowVal, 1)
bos_bull = not na(prevSwingHigh) and close > prevSwingHigh
hl_confirm = not na(lastSwingLow) and not na(prevSwingLow) and lastSwingLow > prevSwingLow and ta.barssince(swingLowCond) <= 30
if use_aggressive_HL
hl_confirm := hl_confirm or (low > low and ta.barssince(swingLowCond) <= 12)
// ───────────────── RSI BULLISH DIVERGENCE ─────────────────
rsiLowVal = ta.pivotlow(rsiVal, rsi_pivot_len, rsi_pivot_len)
rsiLowCond = not na(rsiLowVal)
priceAtRsiLowA = ta.valuewhen(rsiLowCond, low , 0)
priceAtRsiLowB = ta.valuewhen(rsiLowCond, low , 1)
rsiLowA = ta.valuewhen(rsiLowCond, rsiVal , 0)
rsiLowB = ta.valuewhen(rsiLowCond, rsiVal , 1)
rsi_div_ok = not na(priceAtRsiLowA) and not na(priceAtRsiLowB) and not na(rsiLowA) and not na(rsiLowB) and
(priceAtRsiLowA < priceAtRsiLowB) and (rsiLowA > rsiLowB) and ta.barssince(rsiLowCond) <= rsi_div_lookback
// ───────────────── RANGE BREAKOUT ─────────────────
range_high = ta.highest(high, range_len)
range_breakout = ta.crossover(close, range_high)
// ───────────────── EMA CROSS / TREND ─────────────────
ema_cross_happened = ta.crossover(emaFast, emaSlow)
ema_trend_ok = emaFast > emaSlow
// ───────────────── FINAL BUY CONDITION ─────────────────
all_price_checks = bos_bull and hl_confirm and rsi_div_ok and range_breakout
all_filter_checks = ema_trend_ok and ema_cross_happened and daily_vol_ok and daily_obv_ok and htf_reclaim_ok
buy_condition = all_price_checks and all_filter_checks
// ───────────────── PLOTS & ALERT ─────────────────
plotshape(
buy_condition,
title = "BUY Signal",
location = location.belowbar,
style = shape.labelup,
text = "BUY",
textcolor = color.white,
color = color.green,
size = size.small)
plot(htf_support_level, title="HTF Support", color=color.new(color.green, 0), linewidth=2, style=plot.style_linebr)
alertcondition(buy_condition, title="LTF BUY Signal", message="LTF BUY Signal on {{ticker}} ({{interval}}) — all conditions met")
Regime [CHE] Regime — Minimal HTF MACD histogram regime marker with a simple rising versus falling state.
Summary
Regime is a lightweight overlay that turns a higher-timeframe-style MACD histogram condition into a simple regime marker on your chart. It queries an imported core module to determine whether the histogram is rising and then paints a consistent marker color based on that boolean state. The output is intentionally minimal: no lines, no panels, no extra smoothing visuals, just a repeated marker that reflects the current regime. This makes it useful as a quick context filter for other signals rather than a standalone system.
Motivation: Why this design?
A common problem in discretionary and systematic workflows is clutter and over-interpretation. Many regime tools draw multiple plots, which can distract from price structure. This script reduces the regime idea to one stable question: is the MACD histogram rising under a given preset and smoothing length. The core logic is delegated to a shared module to keep the indicator thin and consistent across scripts that rely on the same definition.
What’s different vs. standard approaches?
Reference baseline: A standard MACD histogram plotted in a separate pane with manual interpretation.
Architecture differences:
Uses a shared library call for the regime decision, rather than re-implementing MACD logic locally.
Uses a single boolean output to drive marker color, rather than plotting histogram bars.
Uses fixed marker placement at the bottom of the chart for consistent visibility.
Practical effect:
You get a persistent “context layer” on price without dedicating a separate pane or reading histogram amplitude. The chart shows state, not magnitude.
How it works (technical)
1. The script imports `chervolino/CoreMACDHTF/2` and calls `core.is_hist_rising()` on each bar.
2. Inputs provide the source series, a preset string for MACD-style parameters, and a smoothing length used by the library function.
3. The library returns a boolean `rising` that represents whether the histogram is rising according to the library’s internal definition.
4. The script maps that boolean to a color: yellow when rising, blue otherwise.
5. A circle marker is plotted on every bar at the bottom of the chart, colored by the current regime state. Only the most recent five hundred bars are displayed to limit visual load.
Notes:
The exact internal calculation details of `core.is_hist_rising()` are not shown in this code. Any higher timeframe mechanics, security usage, or confirmation behavior are determined by the imported library. (Unknown)
Parameter Guide
Source — Selects the price series used by the library call — Default: close — Tips: Use close for consistency; alternate sources may shift regime changes.
Preset — Chooses parameter preset for the library’s MACD-style configuration — Default: 3,10,16 — Trade-offs: Faster presets tend to flip more often; slower presets tend to react later.
Smoothing Length — Controls smoothing used inside the library regime decision — Default: 21 — Bounds: minimum one — Trade-offs: Higher values typically reduce noise but can delay transitions. (Library behavior: Unknown)
Reading & Interpretation
Yellow markers indicate the library considers the histogram to be rising at that bar.
Blue markers indicate the library considers it not rising, which may include falling or flat conditions depending on the library definition. (Unknown)
Because markers repeat on every bar, focus on transitions from one color to the other as regime changes.
This tool is best read as context: it does not express strength, only direction of change as defined by the library.
Practical Workflows & Combinations
Trend following:
Use yellow as a condition to allow long-side entries and blue as a condition to allow short-side entries, then trigger entries with your primary setup such as structure breaks or pullback patterns. (Optional)
Exits and stops:
Consider tightening management after a color transition against your position direction, but do not treat a single flip as an exit signal without price-based confirmation. (Optional)
Multi-asset and multi-timeframe:
Keep `Source` consistent across assets.
Use the slower preset when instruments are noisy, and the faster preset when you need earlier context shifts. The best transferability depends on the imported library’s behavior. (Unknown)
Behavior, Constraints & Performance
Repaint and confirmation:
This script itself uses no forward-looking indexing and no explicit closed-bar gating. It evaluates on every bar update.
Any repaint or confirmation behavior may come from the imported library. If the library uses higher timeframe data, intrabar updates can change the state until the higher timeframe bar closes. (Unknown)
security and HTF:
Not visible here. The library name suggests HTF behavior, but the implementation is not shown. Treat this as potentially higher-timeframe-driven unless you confirm the library source. (Unknown)
Resources:
No loops, no arrays, no heavy objects. The plotting is one marker series with a five hundred bar display window.
Known limits:
This indicator does not convey histogram magnitude, divergence, or volatility context.
A binary regime can flip in choppy phases depending on preset and smoothing.
Sensible Defaults & Quick Tuning
Starting point:
Source: close
Preset: 3,10,16
Smoothing Length: 21
Tuning recipes:
Too many flips: choose the slower preset and increase smoothing length.
Too sluggish: choose the faster preset and reduce smoothing length.
Regime changes feel misaligned with your entries: keep the preset, switch the source back to close, and tune smoothing length in small steps.
What this indicator is—and isn’t
This is a minimal regime visualization and a context filter. It is not a complete trading system, not a risk model, and not a prediction engine. Use it together with price structure, execution rules, and position management. The regime definition depends on the imported library, so validate it against your market and timeframe before relying on it.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
MACD HTF Hardcoded
Michael 13/100 SMA Crossover (Time Filtered)This indicator plots a simple moving average (SMA) crossover system using a 13-period SMA and a 100-period SMA. A Buy signal appears when the 13-period SMA crosses above the 100-period SMA, and a Sell signal appears when the 13-period SMA crosses below the 100-period SMA.
Signals are restricted to a specific active trading window between 08:00 and 17:00 GMT, helping to reduce noise during off-hours or low-liquidity periods. The moving averages themselves remain visible at all times, but Buy/Sell markers only appear when a crossover occurs during the defined session.
This tool helps traders identify trend shifts, momentum changes, and potential entry/exit points while avoiding signals during quieter market conditions.
Gap Finder v6Locate all existing open gaps.
Display gap labels on chart with the size of the gap.
Gap size is based on the percentage of the price prior to when the gap was formed.
Example of label: .............Gap 4.8%
Levels S/R Boxes + Gaps + SL/TPWhat It Does:
Automatically identifies and displays:
🟦 Support/Resistance zones (horizontal boxes)
🟨 Price gaps (unfilled gaps from market open/close)
🎯 Stop Loss levels (where to protect trades)
💰 Take Profit levels (where to exit trades)
Purpose: Shows you exactly where price is likely to bounce, reverse, or break through.
Best Practices:
✅ Trade at the boxes - Don't chase price
✅ Use SL/TP lines - Automatic risk management
✅ Wait for confirmation - Candle pattern + S/R level
✅ Gaps get filled - Trade towards yellow boxes
✅ Solid lines = stronger - Prefer 3+ touch levels
❌ Don't ignore SL - Always protect yourself
❌ Don't trade middle - Wait for S/R zones
❌ Don't fight strong levels - Respect solid boxes
Settings (Quick Reference):
S/R Strength: 10 (default) - Lower = more levels, Higher = fewer stronger levels
Max Levels: 5 (default) - Number of S/R boxes to show
Show Gaps: ON - Display yellow gap boxes
Show SL/TP: ON - Display entry/exit suggestions
KIRA INVESTORS📈 KIRA MOMENTUM STRATEGY – BUY & SELL
Title: KIRA EMA 9–21 + VWAP
🟢 BUY RULE
EMA 9 crosses above EMA 21
Price closes above VWAP
🔴 SELL RULE
EMA 9 crosses below EMA 21
Price closes below VWAP
🚫 NO TRADE ZONE
EMAs tangled
Price chopping near VWAP
🎯 TIMEFRAMES & RISK
TF: 5–15 min
Stop-loss: Swing high / low
Risk ≤ 1% per trade
💡 WHY IT WORKS
EMA crossover → Trend direction
VWAP → Confirms institutional bias
Only trades strong momentum moves
Kira EMA 9-21 + VWAP Buy/Sell🔥 KIRA MOMENTUM SETUP – BUY & SELL SYSTEM
Simple • Powerful • Trend-Based
✅ BUY CONDITION 🟢
EMA 9 crosses ABOVE EMA 21
AND
Price closes ABOVE VWAP
🔴 SELL CONDITION
EMA 9 crosses BELOW EMA 21
AND
Price closes BELOW VWAP
🚫 NO TRADE ZONE
❌ EMAs tangled
❌ Price chopping around VWAP
🎯 BEST TIMEFRAMES
✅ 5-Minute
✅ 15-Minute
(Indices & highly liquid stocks)
⚠️ RISK RULE
• Buy SL ➝ Below recent swing low
• Sell SL ➝ Above recent swing high
• Risk per trade ≤ 1%






















