FPT - Engulfing Bar Highlight📌 Description
FPT – Engulfing Bar Highlight is a clean and lightweight indicator designed to highlight valid bullish and bearish engulfing candles directly on the chart.
The indicator uses a strict engulfing definition:
Bullish Engulfing
Current low breaks the previous low
Close is above the previous open
Close is above the current open
Bearish Engulfing
Current high breaks the previous high
Close is below the previous open
Close is below the current open
An optional minimum candle size filter (in ticks) helps eliminate weak or insignificant engulfing candles.
This tool is ideal for traders who:
Trade price action
Use engulfing candles as entry, confirmation, or context
Want a minimal, non-intrusive visual highlight
Combine engulfing logic with key levels, sessions, or other strategies
⚙️ Inputs
Highlight Mode
Bull Only
Bear Only
Both
Minimum Engulfing Size (ticks)
🎯 Features
Clean bar highlight (no boxes, labels, or signals)
No repainting
Works on any market and timeframe
Perfect for discretionary and algorithmic workflows
⚠️ Disclaimer
This indicator is for educational and informational purposes only.
It does not constitute financial advice.
Always use proper risk management.
指標和策略
QQE MT4 [JOY]I have taken Glaz's code from and converted to V6 to ensure we have the latest version.
Smoothed RSI (yellow) via EMA with configurable period; serves as the main signal line.
ATR of the smoothed RSI is double‑smoothed with a Wilder lookback (RSI2−1) and scaled by the QQE multiplier to form dynamic bands.
Slow trailing stop (red) tracks the smoothed RSI; trend flips when smoothed RSI crosses the opposite band.
How to use it?
* Trend bias: red line below yellow = bullish bias; red above yellow = bearish bias.
* Crossovers: bullish when smoothed RSI crosses above the red trailing stop; bearish on the opposite cross.
* Works best on volatile pairs as in the original description; test and tune the multiplier and smoothing for your market/timeframe.
* Because it’s derived from an oscillator, signals are on RSI scale, not price; overlays will not show price-level stops.
XAU Seasonality + Setup Quality + Month Strength | WarRoomXYZXAU Seasonality Engine is a technical analysis indicator developed for the study of recurring, calendar-based behavior on XAUUSD (Gold).
The tool blends month-of-year seasonality statistics with higher-timeframe context and a setup-quality gate to help users observe when market conditions historically lean strong, weak, or neutral — and how strict trade selection should be during each regime.
Indicator Concept
An indicator for XAUUSD that combines:
1. Seasonality Regime (Month-of-Year Bias)
► Classifies the current month as Strong / Weak / Neutral based on either:
• Preset months (user-defined)
or
• Auto mode (computed from historical monthly performance)
► Strong months suggest a bullish tailwind (not a signal).
► Weak months suggest headwind / caution and require stricter setup quality.
2. Monthly Performance Engine (Under the Hood)
► Uses the symbol’s monthly timeframe data to compute, per calendar month:
• Average monthly return (%)
• Win rate (%) — how often that month closes positive
• Month Strength Score (0–100) — a blended score derived from performance data
► The score is designed to provide a relative strength snapshot of seasonality by month.
3. Month Strength Histogram
► Plots a histogram (0–100) of the current month’s strength score.
• Higher bars = historically stronger month tendency
• Lower bars = historically weaker month tendency
► Optional horizontal reference lines mark “strong” and “weak” zones to make regimes obvious at a glance.
4. Setup Quality Meter (Confluence Filter)
► The indicator calculates a Setup Quality Score (0–100) using market structure and momentum components, such as:
• EMA trend alignment
• Momentum confirmation (EMA fast vs slow)
• Structure break confirmation (BOS)
• Liquidity sweep behavior
• Candle confirmation logic
► This score is intended as a trade-selectivity filter , not a trade executor.
5. Adaptive Rules for Weak Months (Strict Mode)
► When the indicator detects a weak seasonal regime, conditions automatically tighten:
• The A+ threshold increases (adaptive thresholding)
• Optional rule: Weak months require BOS + Sweep + FVG simultaneously before any A+ condition is considered valid
This forces the user into “higher-quality-only” behavior during historically weaker seasonal periods.
🔹1 Visual Components Included
• Seasonality regime label (Strong / Weak / Neutral)
• Optional background shading based on regime
• Month Strength Score histogram (0–100)
• Current month stats: Avg return + win rate
• Setup Quality Meter value (0–100)
• Adaptive A+ threshold display
• Weak-month confluence gate status (BOS / Sweep / FVG pass/fail)
• Optional alerts when strict criteria are met
➣What Means in the XAU Indicator
🔹 Definition (in THIS indicator)
Win Rate = the percentage of historical months that closed positive for the same calendar month.
It is NOT:
trade win rate ❌
signal accuracy ❌
It is a s tatistical seasonality metric .
How It’s Calculated
For each calendar month (January, February, etc.), the indicator:
1.Looks at historical monthly candles (Monthly timeframe).
2. Counts how many times that month:
•Closed higher than it opened (or higher than previous month close).
3. Divides:
Number of positive months
÷
Total number of observed months
× 100
Example: September
If over the last 20 years:
September closed green 14 times
September closed red 6 times
Then:
Win Rate = (14 / 20) × 100 = 70%
That’s what you see as in the dashboard.
What the Win Rate Is Used For
1️⃣ Part of the Month Strength Score
The indicator blends:
•Average Monthly Return (%) → measures magnitude
•Win Rate (%) → measures consistency
Combined into:
Month Strength Score (0–100)
This avoids a common trap:
•A month with 1 huge rally but many losses ≠ reliable
•A month with steady positive closes = higher quality environment
What Win Rate Tells You
High Win Rate (e.g. 65–75%)
•Gold more often closes higher in this month
•Continuation is statistically more likely
•Pullbacks are more likely to resolve in trend direction
Low Win Rate (e.g. 35–45%)
•Gold more often fails to close higher
•More chop, deeper retracements, false breakouts
•Continuation trades statistically struggle
What It Does NOT Tell You
🚫 It does NOT mean:
•“You will win 70% of your trades”
•“Every setup in this month works”
•“Direction is guaranteed”
Seasonality is context, not prediction.
Why This Is Powerful When Combined With Your System
On its own, win rate is just data.
But in your indicator, it’s used to:
•🔒 Raise the A+ threshold in weak months
•🧠 Force BOS + Sweep + FVG confluence
•❌ Block marginal setups automatically
So instead of guessing:
-“Why is gold so choppy this month?”
You know:
-“This month historically underperforms SO I must be stricter.”
➣What Means in the XAU Seasonality Indicator
🔹 Definition (in THIS indicator)
Avg Monthly Return = the average percentage gain or loss of XAUUSD for a specific calendar month, calculated across many years.
It measures magnitude , not frequency.
It is NOT:
•trade profit ❌
•expected return for the next month ❌
•guaranteed performance ❌
It is a historical seasonality tendency.
How It’s Calculated
For each calendar month (January, February, etc.), the indicator:
1.Takes every historical occurrence of that month.
2.Calculates the percentage change of the monthly candle:
(Monthly Close − Previous Monthly Close)
÷ Previous Monthly Close × 100
3. Adds all those percentage changes together.
4. Divides by the total number of observations.
Example: September
Assume over 20 years:
+2.4%, +1.1%, −0.6%, +3.0%, +1.8%, ...
If the sum of all September returns = +28% across 20 years:
Avg Monthly Return = +1.40%
That’s the number displayed in the indicator.
What Avg Monthly Return Is Used For
1️⃣ Measuring Strength of Movement
•Win Rate → “How often does it close green?”
•Avg Monthly Return → “How big are the moves when it works?”
Both are needed.
A month can:
•Win often but move very little
•Move a lot but only occasionally
The indicator combines both to avoid misleading conclusions.
How to Interpret Avg Monthly Return
Positive Avg Return (e.g. +0.8% to +2.0%)
•Gold tends to expand during this month
•Continuation phases are more likely
•Pullbacks are often absorbed
Near-Zero Avg Return (e.g. −0.2% to +0.2%)
•Market is statistically balanced
•Expect chop, rotations, false breaks
•Continuation is less reliable
Negative Avg Return (e.g. −0.5% or worse)
•Downward pressure or heavy mean reversion
•Rallies often fade
•Risk of aggressive stop hunts
What Avg Monthly Return Does NOT Mean
🚫 It does NOT mean:
•“Price will move +1.4% this month”
•“You should buy because the number is positive”
•“This is a guaranteed edge”
It describes historical behavior, not future certainty.
Why Avg Monthly Return Matters More Than People Think
Two months can have the same win rate but behave very differently:
Example:
Month Win Rate Avg Return Reality
Month A 65% +0.2% Small, choppy wins
Month B 55% +1.6% Fewer wins, but strong expansions
Your indicator would rank Month B as stronger, which is correct for continuation-based strategies.
How It Feeds the Month Strength Score
The indicator blends:
•60% Avg Monthly Return (normalized)
•40% Win Rate
This means:
•Big moves matter more than small consistency
•But consistency still matters enough to prevent distortion
Result:
Month Strength Score (0–100)
Which is then used to:
•tighten or relax A+ thresholds
•activate weak-month strict rules
•control trade frequency
🔹2. Intended Use
The indicator is designed as a discretionary analysis tool to support study of:
• seasonal bias and calendar tendencies
• relative strength/weakness across months
• how strict trade selection should be across different regimes
• confluence behavior when seasonal conditions are unfavorable
The tool does not generate forecasts, does not guarantee outcomes, and should not be relied upon as a stand-alone decision mechanism.
🔹3.How to Use XAU Seasonality Engine
Recommended charts: XAUUSD, intraday (5m–15m) with a HTF context (1H–4H).
1. Identify the Seasonal Regime
• Strong month → you can allow more continuation bias (still require structure).
• Neutral month → trade normally, standard criteria.
• Weak month → tighten selection, demand clean A+ conditions only.
2. Read the Month Strength Histogram
• If the score is high (e.g., 70+), the month has historically shown stronger tendency.
• If the score is low (e.g., 40 and below), expect slower conditions, deeper pullbacks, or more chop — and reduce marginal trades.
3. Use the Setup Quality Meter as the Gate
► In normal/strong months:
• A+ threshold is moderate (e.g., 70)
► In weak months:
• A+ threshold is higher (e.g., 80+)
• Optional strict mode: must also pass BOS + Sweep + FVG alignment
4. Example Trade Logic (Framework, Not Signals)
► Bullish framework in a Strong Month:
• Seasonal regime = Strong (tailwind)
• Structure supports bullish continuation (trend alignment)
• Sweep occurs into demand / liquidity grab
• Setup Quality reaches A+ threshold
• Entry: confirmation candle or retrace to key level
• SL: beyond sweep low / invalidation
• TP: nearest liquidity / prior highs / HTF level
► Weak Month rule-set (Strict Mode):
• Seasonal regime = Weak (headwind)
• Only consider trades if:
✅ BOS confirms direction
✅ Sweep occurs and rejects cleanly
✅ FVG exists recently (or is mitigated if you choose that model)
✅ Setup Quality exceeds the elevated adaptive threshold
If any one is missing → no trade
This is not meant to “predict” gold — it’s meant to enforce discipline when seasonality historically underperforms.
🔹4.Limitations and User Responsibility
► The indicator does not represent financial advice or imply performance expectations.
► Seasonality is statistical tendency, not certainty — macro conditions can override it.
► Results vary by broker feed, timeframe, and settings.
► Users should test thoroughly in simulation before applying to live markets.
► All trading decisions, risk management, and execution remain solely the responsibility of the user.
🔹5. Alerts
Optional alerts can notify when:
• a new month begins and the seasonal regime changes
• A+ criteria are met
• weak-month strict conditions pass (BOS + Sweep + FVG)
Alerts are informational only and do not constitute actionable recommendations.
Disclaimer
This script is provided for informational and educational purposes only . It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user.
This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes.
Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution.
Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
The Engulfing Liquidity Signal with Adjustable Trailing StopEngulfing Liquidity Signal with Adjustable Trailing Stop
This strategy is designed to enter long trades based on the Engulfing Liquidity Signal combined with a Trailing Stop. The strategy uses custom volume analysis and price action to detect potential market opportunities. The Trailing Stop is adjustable, allowing traders to customize the distance at which the stop will trail the price.
Key Features:
Engulfing Liquidity Signal: The strategy enters a trade when the market shows signs of strong liquidity and price action, typically when there is a strong reversal signal (bullish engulfing) accompanied by higher volume.
Trailing Stop: A dynamic exit strategy that locks in profits by trailing the stop level behind the highest price achieved since the trade entry. This prevents the position from being closed prematurely while still protecting profits if the market reverses.
Customizable Trailing Stop: Users can adjust the trailing stop percentage via the settings. This allows for greater flexibility in how closely the stop will trail the price.
No Fixed Take Profit: The strategy uses only the trailing stop, ensuring that profits are maximized based on price action without a fixed profit target.
How the Strategy Works:
Buy Signal (LongC):
The strategy triggers a buy signal when a bullish engulfing pattern occurs, and the liquidity conditions align (i.e., the volume is increasing and price action shows signs of a potential reversal).
The strategy enters a long position when the signal conditions are met.
Trailing Stop Logic:
Once the trade is initiated, a trailing stop is applied. The stop level follows the highest price achieved since entry, trailing the price based on a user-defined percentage.
The stop level adjusts upward as the price increases, locking in profits. If the price reverses and hits the trailing stop, the trade is closed.
The trailing stop is dynamic, meaning it moves only in the direction of profit, but it will not move lower once it has been set.
Sell Signal (ShortC):
The position will also be closed if a sell signal (ShortC) is generated. This ensures that the strategy exits the trade when a potential reversal is detected in the market.
No Fixed Take Profit:
The strategy does not use a fixed take profit level. Instead, the profit is managed entirely by the trailing stop, which ensures that positions remain open as long as the market is moving in favor of the trade, allowing the position to capture the maximum possible profit.
Settings:
Trailing Stop Percentage: The user can adjust the trailing stop distance by setting a percentage value between 10% and 100%. This controls how tightly or loosely the trailing stop will follow the price.
Benefits:
Maximized Profits: By using a trailing stop, the strategy aims to capture as much profit as possible without prematurely exiting trades.
Customizable: The adjustable trailing stop allows traders to tailor the strategy to their risk tolerance and market conditions.
Simple & Effective: The strategy is straightforward, relying on price action and volume signals, making it easy to understand and implement.
Ideal Use Case:
This strategy is suitable for traders who prefer to let their profits run and manage risk with a trailing stop. It is particularly useful in trending markets where the price continues to move in one direction for an extended period. By using a trailing stop, the strategy allows you to stay in the market and capture large moves while protecting profits.
This strategy provides an excellent combination of automated trade management with a Trailing Stop and Engulfing Liquidity Signal, making it a solid choice for traders seeking to automate their trades with customizable risk management.
Weighted ATRWeighted ATR is a volatility indicator that computes True Range and smooths it using a selectable kernel (native Wilder ATR, SMA, EMA, WMA, VWMA, or HMA). It outputs a single volatility line in price units for risk sizing, stop distances, and regime filtering.
BALAJEE Style: Liquidity & Volume POC//@version=5
indicator("Order Flow Delta - Footprint Style", overlay=true)
// --- Settings ---
showLabels = input.bool(true, "Show Volume Delta Labels")
highVolThreshold = input.float(1.5, "High Volume Alert (x Average)", step=0.1)
// --- Calculations ---
// Calculating "Delta" (Simple version: Volume * Direction)
float delta = (close > open) ? volume : -volume
float avgVol = ta.sma(volume, 20)
bool isHighVol = volume > avgVol * highVolThreshold
// --- Colors ---
// Professional "Muted" colors like the pros use
color bullColor = color.new(#089981, 0)
color bearColor = color.new(#f23645, 0)
color neutralColor = color.new(color.gray, 50)
// --- Visuals ---
// Color the candles based on Volume Delta
barcolor(delta > 0 ? bullColor : bearColor)
// Plot Delta Labels (The "Numbers" look)
if showLabels
label.new(bar_index, high, text=str.tostring(math.round(volume/1000, 1)) + "k",
style=label.style_none,
textcolor=delta > 0 ? color.green : color.red,
yloc=yloc.abovebar)
// Highlight Institutional Activity (Yellow dots for huge volume)
plotshape(isHighVol, "Institutional Vol", shape.circle, location.bottom, color.yellow, size=size.tiny)
// --- Trend Background ---
var float trendPOC = na
trendPOC := ta.vwap(close)
plot(trendPOC, "VWAP (Fair Value)", color=color.new(color.white, 70), style=plot.style_linebr)
Print Bar DataThis script print out the recent bar data. You can configure the position, bar numbers, of the data
ProTradersNetwork-inefficiencyInefficiency Candles Colored, No matter the timeframe, ensures clear visibility of which candles had the most momentum.
Fixed Time Frame EMA [TickDaddy]Show a 50 period EMA on the 15 minute timeframe on any other timeframe like 5 min, 1 min, 1 hour, etc.. etc..
it's all customizable, you choose the timeframe, ema, color, all that good stuff.
Price Levels [TickDaddy]I hope you enjoy this indicator as much as I do!
it draws out price levels to your liking, by ticks or points, how many ticks/points between levels, very customizable. it also has an info box showing how many ticks/points between levels as well as dollar amount for that level, and you can change contract size as well as micros or minis just to see if price moved that distance, what you can expect to make.
any feedback greatly appreciated.
3 Trading Sessions [TickDaddy]Customizable 3 trading session indicator. Asia, Longdon, New York. Adjust times for each session, color, opacity. toggle if you want to see future sessions coming up.
High Vol Big Move (Up or Down)Nine million EP with 4% stock moved up or down, and today's volume is more than yesterday's volume.
TradingSystems_AlphaLib_v1_FinalLibrary "TradingSystems_AlphaLib_v1_Final"
Master Library for Institutional Analysis v1
@author jmcanovelles
calc_ema(len)
Calculates standardized EMA
Parameters:
len (simple int)
calc_adx(len)
Calculates precise ADX and DI
Parameters:
len (simple int)
TradingSystems_AlphaLib_v6//@version=6
// @description Master Library for Institutional Grade Analysis v1
// @author jmcanovelles
library("TradingSystems_AlphaLib_v6")
// @function Calculates standardized EMA
// @param len Period for the average
export calc_ema(int len) =>
ta.ema(close, len)
// @function Calculates precise ADX and DI
// @param len Calculation period
export calc_adx(int len) =>
= ta.dmi(len, len)
bayaraa first 1221//@version=5
indicator("7-LA White Candle Session", overlay=true)
// ----- Session тохиргоо -----
sess = input.session("0930-1600", "Session") // Хүссэн session цаг
inSession = not na(time(sess)) // Лаа session-д байгаа эсэх
// ----- Лааны өнгө тоолох -----
var int candle_count = 0
if inSession
candle_count += 1
else
candle_count := 0
// ----- Өнгө тохиргоо -----
candle_color = (candle_count <= 7 and inSession) ? color.white : na
// ----- Лааг график дээр зурна -----
plotcandle(open, high, low, close, color=candle_color)
ORB 2R Retest Volume Entry (1m) - v6gJdsfjs kdfg s jdslzi gdsjzg SJFds SJKdls dsjzgfjdkzl GDMKls gndsmzgSfgndmsKF fdnsioGLfs
ATR + Moving AverageThis indicator shows a manually calculated Average True Range (ATR) along with a moving average of the ATR.
The ATR measures current candle volatility.
The ATR Moving Average shows the average candle size over the selected period.
Both can use different smoothing types (RMA, SMA, EMA, WMA) for flexibility.
It’s useful for seeing when price is stretched, volatility is expanding or contracting, and for higher-timeframe mean-reversion analysis.
Replay CountdownDisplays countdown for current bar in Replay mode.
Optionally also displays the current replay time in the exchange timezone.
3 VCT + SMA200//@version=5
indicator("3 VCT + SMA200", overlay=true)
// SMA200
smaLength = 200
sma200 = ta.sma(close, smaLength)
plot(sma200, "SMA200", color=color.orange, linewidth=2)
// Condiciones de velas
isBullish = close > open
isBearish = close < open
// Contador de velas consecutivas
var contraCount = 0
if (close > sma200) // Tendencia alcista → buscamos 3 velas bajistas
if isBearish
contraCount += 1
else
contraCount := 0
else if (close < sma200) // Tendencia bajista → buscamos 3 velas alcistas
if isBullish
contraCount += 1
else
contraCount := 0
// Señal cuando se cumplan 3 consecutivas en contra
signal = (contraCount == 3)
// Mostrar en gráfico
plotshape(signal, title="Señal 3 velas", style=shape.labeldown,
text="", location=location.abovebar,
color=color.red, size=size.tiny, textcolor=color.white)
// Crear condición de alerta
alertcondition(signal, title="3 Velas Contra Tendencia",
message="Se han formado 3 velas en contratendencia respecto a la SMA200.")
Buy / Sell Volume Header / NPR21📊 Buy / Sell Volume Header – NPR21
Overview
Buy / Sell Volume Header – NPR21 displays real-time Buy vs Sell volume dominance in a clean, Thinkorswim-style fixed header at the top of the chart.
Instead of cluttering candles with labels, this indicator presents volume information in a compact, side-by-side header, allowing traders to instantly gauge who is in control of the current bar—buyers or sellers—without losing focus on price action.
How It Works
Buy and Sell volume are estimated using candle structure:
Buy Volume is derived from the portion of the candle closing above the low
Sell Volume is derived from the portion of the candle closing below the high
Percentages show relative dominance for the most recently confirmed bar
This approach provides a fast, intuitive order-flow bias that works across futures, indices, crypto, and equities.
Key Features
✔ Thinkorswim-style fixed header
✔ Side-by-side Buy | Sell layout (no overlap)
✔ Bold green/red backgrounds with white text
✔ Compact font for intraday trading
✔ Updates only on confirmed bars (non-repainting)
✔ No candle clutter
✔ Optimized for scalping and intraday trading
Best Use Cases
Confirming buyer vs seller control
Adding confluence to:
Momentum indicators
VWAP / EMA strategies
Market structure & BOS setups
Quick decision support during:
Breakouts
Pullbacks
Range highs/lows
This tool is designed to be confirmation, not a standalone signal.
Notes
This is a volume estimation tool, not true bid/ask or footprint data
Best used alongside price action and structure
Price vs Moving Average Cross (Golden & Death Signals)This indicator detects price crossings against multiple moving averages, not crossings between moving averages themselves.
🔹 Core Concept
A Golden Signal occurs when the price (close) crosses above a selected moving average.
A Death Signal occurs when the price (close) crosses below a selected moving average.
⚠️ This is NOT a moving-average-to-moving-average crossover indicator.
It is a price-to-moving-average crossover indicator.
📈 Moving Average Settings
The indicator uses three independent moving averages, each configurable by the user:
1️⃣ Moving Average 1 (Golden Signal)
Default: 20-period
Type: EMA or SMA
Signal:
Price crossing above MA → Golden Signal
2️⃣ Moving Average 2 (Golden Signal)
Default: 50-period
Type: EMA or SMA
Signal:
Price crossing above MA → Golden Signal
3️⃣ Moving Average 3 (Death Signal)
Default: 100-period
Type: EMA or SMA
Signal:
Price crossing below MA → Death Signal
🔔 Signal Logic
Signal Type Condition
Golden Cross 1 Close price crosses above MA 1
Golden Cross 2 Close price crosses above MA 2
Death Cross Close price crosses below MA 3
Each signal is evaluated independently.
📊 Visual Representation
Green Up Arrow → Price crosses above MA 1
Purple Up Arrow → Price crosses above MA 2
Red Down Arrow → Price crosses below MA 3
All moving averages are plotted directly on the price chart.
🎯 Practical Use Cases
Identifying trend initiation points
Confirming pullback breakouts
Acting as an entry timing assistant
Using MA 3 as a trend filter / exit warning
⚠️ Important Notes
This indicator may generate false signals in sideways or ranging markets.
Best used in combination with:
Higher-timeframe trend confirmation
Volume indicators
Support & resistance levels
🧠 Summary
✔️ Price ↔ Moving Average crossover
❌ Moving Average ↔ Moving Average crossover
This indicator is designed for trend-following traders who want clear and simple price confirmation signals.
원하시면
“True MA Golden Cross version”
Scalping-optimized version (3m / 5m)
Trend + Momentum filtered version
