Custom RSI Divergence OscillatorStill work in progress, but wanted the RSI indicator to look nicer and to be easier and more fun to use.
Indicators and strategies
Event Contract Signal Predictor [10-min Chart]Description:
This script is designed for high-probability event contract trading on 10-minute charts. It combines proprietary LSMA wave trend analysis with custom high-pass filtering and dynamic volume-based order book detection to generate precise long and short entry signals.
Key Features:
• LSMA Wave Trend: Captures short-term momentum with a custom linear regression over smoothed RSI values.
• High-Pass Filter & Peak Detection: Reduces noise and identifies extreme price movements for precise timing.
• Dynamic Order Book Ratio: Monitors buy/sell volume imbalance in real-time to confirm trade validity.
• Signal Confluence: Long or short signals appear only when multiple conditions align (trend, momentum, volume), reducing false triggers.
• Immediate Signal Display: Signals appear on the first candle after condition confirmation; no need to wait for candle close.
• Adjustable Parameters: Users can customize resonance thresholds, smoothing periods, and trigger sensitivity for different markets.
How to Use:
1. Apply the script to a 10-minute chart.
2. Observe green circles (long) and red circles (short) marking potential entries.
3. Combine with your risk management strategy for optimal results.
Note:
This script is closed-source to protect proprietary logic. While the exact calculations are not revealed, this description provides enough context for traders to understand how signals are generated and applied.
DubleB_basic.verTitle:
Final Combo: Bollinger Bands + 5 SMAs + Cross Signals + Dual Pierce + Hammer Alerts
Description:
This indicator combines multiple technical tools into one comprehensive package:
Bollinger Bands:
• BB (Length 4, StdDev 4, source: Open, no midline)
• BB (Length 20, StdDev 2, source: Close, with SMA midline)
Moving Averages (5 lines):
• SMA 5, 20, 60, 120, 240
• Each line has customizable color, style, and visibility toggle
Cross Signals:
• 5/20, 60/120, 60/240, 120/240 crossovers
• Plot markers with customizable style and colors
• Alerts triggered instantly when the cross forms
Dual Bollinger Pierce:
• Signals when a candle pierces both the 4,4 and 20,2 Bollinger Bands simultaneously
• Alerts notify as “Double BB” event
Candlestick Patterns:
• Hammer and Inverted Hammer detection (with relaxed conditions)
• Signals only confirmed at bar close
• Alerts notify as “Hammer detected” or “Inverted Hammer detected”
Alerts:
• All signals (crosses, double BB pierce, hammers) come with built-in alertcondition()
• Alert messages include symbol name and timeframe automatically
How to Use:
Add the indicator to your chart
Configure moving averages, colors, and marker styles as needed
Set alerts directly from the chart using “Add Alert” → select the conditions you want
Ideal for traders who need combined volatility, trend, and candlestick reversal signals in one tool
Cardwell RSI by TQ📌 Cardwell RSI – Enhanced Relative Strength Index
This indicator is based on Andrew Cardwell’s RSI methodology , extending the classic RSI with tools to better identify bullish/bearish ranges and trend dynamics.
In uptrends, RSI tends to hold between 40–80 (Cardwell bullish range).
In downtrends, RSI tends to stay between 20–60 (Cardwell bearish range).
Key Features :
Standard RSI with configurable length & source
Fast (9) & Slow (45) RSI Moving Averages (toggleable)
Cardwell Core Levels (80 / 60 / 40 / 20) – enabled by default
Base Bands (70 / 50 / 30) in dotted style
Optional custom levels (up to 3)
Alerts for MA crosses and level crosses
Data Window metrics: RSI vs Fast/Slow MA differences
How to Use :
Monitor RSI behavior inside Cardwell’s bullish (40–80) and bearish (20–60) ranges
Watch RSI crossovers with Fast (9) and Slow (45) MAs to confirm momentum or trend shifts
Use levels and alerts as confluence with your trading strategy
Default Settings :
RSI Length: 14
MA Type: WMA
Fast MA: 9 (hidden by default)
Slow MA: 45 (hidden by default)
Cardwell Levels (80/60/40/20): ON
Base Bands (70/50/30): ON
Adaptive Trend Following Suite [Alpha Extract]A sophisticated multi-filter trend analysis system that combines advanced noise reduction, adaptive moving averages, and intelligent market structure detection to deliver institutional-grade trend following signals. Utilizing cutting-edge mathematical algorithms and dynamic channel adaptation, this indicator provides crystal-clear directional guidance with real-time confidence scoring and market mode classification for professional trading execution.
🔶 Advanced Noise Reduction
Filter Eliminates market noise using sophisticated Gaussian filtering with configurable sigma values and period optimization. The system applies mathematical weight distribution across price data to ensure clean signal generation while preserving critical trend information, automatically adjusting filter strength based on volatility conditions.
advancedNoiseFilter(sourceData, filterLength, sigmaParam) =>
weightSum = 0.0
valueSum = 0.0
centerPoint = (filterLength - 1) / 2
for index = 0 to filterLength - 1
gaussianWeight = math.exp(-0.5 * math.pow((index - centerPoint) / sigmaParam, 2))
weightSum += gaussianWeight
valueSum += sourceData * gaussianWeight
valueSum / weightSum
🔶 Adaptive Moving Average Core Engine
Features revolutionary volatility-responsive averaging that automatically adjusts smoothing parameters based on real-time market conditions. The engine calculates adaptive power factors using logarithmic scaling and bandwidth optimization, ensuring optimal responsiveness during trending markets while maintaining stability during consolidation phases.
// Calculate adaptive parameters
adaptiveLength = (periodLength - 1) / 2
logFactor = math.max(math.log(math.sqrt(adaptiveLength)) / math.log(2) + 2, 0)
powerFactor = math.max(logFactor - 2, 0.5)
relativeVol = avgVolatility != 0 ? volatilityMeasure / avgVolatility : 0
adaptivePower = math.pow(relativeVol, powerFactor)
bandwidthFactor = math.sqrt(adaptiveLength) * logFactor
🔶 Intelligent Market Structure Analysis
Employs fractal dimension calculations to classify market conditions as trending or ranging with mathematical precision. The system analyzes price path complexity using normalized data arrays and geometric path length calculations, providing quantitative market mode identification with configurable threshold sensitivity.
🔶 Multi-Component Momentum Analysis
Integrates RSI and CCI oscillators with advanced Z-score normalization for statistical significance testing. Each momentum component receives independent analysis with customizable periods and significance levels, creating a robust consensus system that filters false signals while maintaining sensitivity to genuine momentum shifts.
// Z-score momentum analysis
rsiAverage = ta.sma(rsiComponent, zAnalysisPeriod)
rsiDeviation = ta.stdev(rsiComponent, zAnalysisPeriod)
rsiZScore = (rsiComponent - rsiAverage) / rsiDeviation
if math.abs(rsiZScore) > zSignificanceLevel
rsiMomentumSignal := rsiComponent > 50 ? 1 : rsiComponent < 50 ? -1 : rsiMomentumSignal
❓How It Works
🔶 Dynamic Channel Configuration
Calculates adaptive channel boundaries using three distinct methodologies: ATR-based volatility, Standard Deviation, and advanced Gaussian Deviation analysis. The system automatically adjusts channel multipliers based on market structure classification, applying tighter channels during trending conditions and wider boundaries during ranging markets for optimal signal accuracy.
dynamicChannelEngine(baselineData, channelLength, methodType) =>
switch methodType
"ATR" => ta.atr(channelLength)
"Standard Deviation" => ta.stdev(baselineData, channelLength)
"Gaussian Deviation" =>
weightArray = array.new_float()
totalWeight = 0.0
for i = 0 to channelLength - 1
gaussWeight = math.exp(-math.pow((i / channelLength) / 2, 2))
weightedVariance += math.pow(deviation, 2) * array.get(weightArray, i)
math.sqrt(weightedVariance / totalWeight)
🔶 Signal Processing Pipeline
Executes a sophisticated 10-step signal generation process including noise filtering, trend reference calculation, structure analysis, momentum component processing, channel boundary determination, trend direction assessment, consensus calculation, confidence scoring, and final signal generation with quality control validation.
🔶 Confidence Transformation System
Applies sigmoid transformation functions to raw confidence scores, providing 0-1 normalized confidence ratings with configurable threshold controls. The system uses steepness parameters and center point adjustments to fine-tune signal sensitivity while maintaining statistical robustness across different market conditions.
🔶 Enhanced Visual Presentation
Features dynamic color-coded trend lines with adaptive channel fills, enhanced candlestick visualization, and intelligent price-trend relationship mapping. The system provides real-time visual feedback through gradient fills and transparency adjustments that immediately communicate trend strength and direction changes.
🔶 Real-Time Information Dashboard
Displays critical trading metrics including market mode classification (Trending/Ranging), structure complexity values, confidence scores, and current signal status. The dashboard updates in real-time with color-coded indicators and numerical precision for instant market condition assessment.
🔶 Intelligent Alert System
Generates three distinct alert types: Bullish Signal alerts for uptrend confirmations, Bearish Signal alerts for downtrend confirmations, and Mode Change alerts for market structure transitions. Each alert includes detailed messaging and timestamp information for comprehensive trade management integration.
🔶 Performance Optimization
Utilizes efficient array management and conditional processing to maintain smooth operation across all timeframes. The system employs strategic variable caching, optimized loop structures, and intelligent update mechanisms to ensure consistent performance even during high-volatility market conditions.
This indicator delivers institutional-grade trend analysis through sophisticated mathematical modelling and multi-stage signal processing. By combining advanced noise reduction, adaptive averaging, intelligent structure analysis, and robust momentum confirmation with dynamic channel adaptation, it provides traders with unparalleled trend following precision. The comprehensive confidence scoring system and real-time market mode classification make it an essential tool for professional traders seeking consistent, high-probability trend following opportunities with mathematical certainty and visual clarity.
Chaikin Money Flow w/ FillA regular CMF indicator, just with a green/red filling when above/below the zero line.
Minute speciale universale (3,11,17,29,41,47,53,59)//@version=5
indicator("Minute speciale universale (3,11,17,29,41,47,53,59)", overlay=true, max_labels_count=500)
// lista de minute speciale
var int specials = array.from(3, 11, 17, 29, 41, 47, 53, 59)
// minutul de start al barei (0..59)
mStart = minute(time)
// durata barei (secunde) -> minute
secInBar = timeframe.in_seconds(timeframe.period)
isIntraday = timeframe.isintraday
minutesInBar = (isIntraday and not na(secInBar)) ? math.max(1, int(math.ceil(secInBar / 60.0))) : 0
// caută dacă vreo valoare din `specials` cade în intervalul barei
bool hit = false
var int first = na
if minutesInBar > 0
for i = 0 to array.size(specials) - 1
s = array.get(specials, i)
delta = (s - mStart + 60) % 60
if delta < minutesInBar
hit := true
if na(first)
first := s
// etichetă (o singură linie ca să evităm parse issues)
if hit
label.new(bar_index, high, str.tostring(first), xloc=xloc.bar_index, yloc=yloc.abovebar, style=label.style_label_up, color=color.black, textcolor=color.white, size=size.tiny)
ST Fractals With Percentage DifferenceThis indicator identifies Williams Fractals on your price chart, helping traders spot potential reversal points and short-term highs and lows. This changes default value to 1 and adds percentage difference similar to ST Fractals option on MT5
How It Works:
Up Fractals (▲): Plotted above a candle that is higher than its surrounding candles — a potential short-term top.
Down Fractals (▼): Plotted below a candle that is lower than its surrounding candles — a potential short-term bottom.
Fractals are only drawn if the price difference from the next candle exceeds a minimum percentage, to avoid signals caused by small fluctuations.
The script ensures that both up and down fractals never appear on the same candle, keeping your chart clear.
Settings:
Periods (n): Determines how many candles before and after are considered to find a fractal. Default: 2.
Min % Difference: Filters out insignificant fractals by requiring a minimum difference from the next candle. Default: 0.01%.
Usage Tips:
Can be used to identify support and resistance levels.
Often combined with trend indicators or moving averages to confirm reversals.
Works best in markets with clear trends or volatility, rather than very flat markets.
Visuals:
Green triangle ▲ → Up Fractal (potential top)
Red triangle ▼ → Down Fractal (potential bottom)
Deadband Hysteresis Filter [BackQuant]Deadband Hysteresis Filter
What this is
This tool builds a “debounced” price baseline that ignores small fluctuations and only reacts when price meaningfully departs from its recent path. It uses a deadband to define how much deviation matters and a hysteresis scheme to avoid rapid flip-flops around the decision boundary. The baseline’s slope provides a simple trend cue, used to color candles and to trigger up and down alerts.
Why deadband and hysteresis help
They filter micro noise so the baseline does not react to every tiny tick.
They stabilize state changes. Hysteresis means the rule to start moving is stricter than the rule to keep holding, which reduces whipsaw.
They produce a stepped, readable path that advances during sustained moves and stays flat during chop.
How it works (conceptual)
At each bar the script maintains a running baseline dbhf and compares it to the input price p .
Compute a base threshold baseTau using the selected mode (ATR, Percent, Ticks, or Points).
Build an enter band tauEnter = baseTau × Enter Mult and an exit band tauExit = baseTau × Exit Mult where typically Exit Mult < Enter Mult .
Let diff = p − dbhf .
If diff > +tauEnter , raise the baseline by response × (diff − tauEnter) .
If diff < −tauEnter , lower the baseline by response × (diff + tauEnter) .
Otherwise, hold the prior value.
Trend state is derived from slope: dbhf > dbhf → up trend, dbhf < dbhf → down trend.
Inputs and what they control
Threshold mode
ATR — baseTau = ATR(atrLen) × atrMult . Adapts to volatility. Useful when regimes change.
Percent — baseTau = |price| × pctThresh% . Scale-free across symbols of different prices.
Ticks — baseTau = syminfo.mintick × tickThresh . Good for futures where tick size matters.
Points — baseTau = ptsThresh . Fixed distance in price units.
Band multipliers and response
Enter Mult — outer band. Price must travel at least this far from the baseline before an update occurs. Larger values reject more noise but increase lag.
Exit Mult — inner band for hysteresis. Keep this smaller than Enter Mult to create a hold zone that resists small re-entries.
Response — step size when outside the enter band. Higher response tracks faster; lower response is smoother.
UI settings
Show Filtered Price — plots the baseline on price.
Paint candles — colors bars by the filtered slope using your long/short colors.
How it can be used
Trend qualifier — take entries only in the direction of the baseline slope and skip trades against it.
Debounced crossovers — use the baseline as a stabilized surrogate for price in moving-average or channel crossover rules.
Trailing logic — trail stops a small distance beyond the baseline so small pullbacks do not eject the trade.
Session aware filtering — widen Enter Mult or switch to ATR mode for volatile sessions; tighten in quiet sessions.
Parameter interactions and tuning
Enter Mult vs Response — both govern sensitivity. If you see too many flips, increase Enter Mult or reduce Response. If turns feel late, do the opposite.
Exit Mult — widening the gap between Enter and Exit expands the hold zone and reduces oscillation around the threshold.
Mode choice — ATR adapts automatically; Percent keeps behavior consistent across instruments; Ticks or Points are useful when you think in fixed increments.
Timeframe coupling — on higher timeframes you can often lower Enter Mult or raise Response because raw noise is already reduced.
Concrete starter recipes
General purpose — ATR mode, atrLen=14 , atrMult=1.0–1.5 , Enter=1.0 , Exit=0.5 , Response=0.20 . Balanced noise rejection and lag.
Choppy range filter — ATR mode, increase atrMult to 2.0, keep Response≈0.15 . Stronger suppression of micro-moves.
Fast intraday — Percent mode, pctThresh=0.1–0.3 , Enter=1.0 , Exit=0.4–0.6 , Response=0.30–0.40 . Quicker turns for scalping.
Futures ticks — Ticks mode, set tickThresh to a few spreads beyond typical noise; start with Enter=1.0 , Exit=0.5 , Response=0.25 .
Strengths
Clear, explainable logic with an explicit noise budget.
Multiple threshold modes so the same tool fits equities, futures, and crypto.
Built-in hysteresis that reduces flip-flop near the boundary.
Slope-based coloring and alerts that make state changes obvious in real time.
Limitations and notes
All filters add lag. Larger thresholds and smaller response trade faster reaction for fewer false turns.
Fixed Points or Ticks can under- or over-filter when volatility regime shifts. ATR adapts, but will also expand bands during spikes.
On extremely choppy symbols, even a well tuned band will step frequently. Widen Enter Mult or reduce Response if needed.
This is a chart study. It does not include commissions, slippage, funding, or gap risks.
Alerts
DBHF Up Slope — baseline turns from down to up on the latest bar.
DBHF Down Slope — baseline turns from up to down on the latest bar.
Implementation details worth knowing
Initialization sets the baseline to the first observed price to avoid a cold-start jump.
Slope is evaluated bar-to-bar. The up and down alerts check for a change of slope rather than raw price crossings.
Candle colors and the baseline plot share the same long/short palette with transparency applied to the line.
Practical workflow
Pick a mode that matches how you think about distance. ATR for volatility aware, Percent for scale-free, Ticks or Points for fixed increments.
Tune Enter Mult until the number of flips feels appropriate for your timeframe.
Set Exit Mult clearly below Enter Mult to create a real hold zone.
Adjust Response last to control “how fast” the baseline chases price once it decides to move.
Final thoughts
Deadband plus hysteresis gives you a principled way to “only care when it matters.” With a sensible threshold and response, the filter yields a stable, low-chop trend cue you can use directly for bias or plug into your own entries, exits, and risk rules.
HTF & LTF Checklist3 — by WAVE (claude)HTF & LTF Checklist
-Transparency option
-Coloring option
-Remove / Add Confulences
ESTP MeterAuto Entry/SL/TP + Meter (no dashboard / no MA50 plot / no fixed levels)
Idea
The indicator builds Entry / SL / TP1–TP3 zones and highlights bars when the odds of trend continuation are high. Under the hood it runs a multi-factor Meter with HTF filtering, volume, volatility, and breakout context. It does not draw a dashboard, MA50 line, or fixed levels — only the working zones and setup highlights.
How it works
Signal LONG/SHORT comes from a combo of:
RSI(14), MACD (line/signal/hist), and trend vs SMA50 (used internally only, not plotted).
HTF filter (tfHTF): direction alignment on the higher timeframe via EMA50, RSI, MACD-hist.
Breakout factor: a brLen lookback high/low break in the trend direction boosts the score.
Meter/Score (0–100): weighted sum of RVOL, ATR%, TREND, ADX, BREAK, with a chop penalty when EMA20–EMA50 gap is small.
Bar highlight: when Score ≥ 70 and there’s a breakout in the aligned trend direction.
Zones:
On signal change (bar close) it pins Entry at the close.
SL: at the most recent confirmed pivot (5×5). If no pivot yet, a fallback SL = ±2% from Entry.
TP1/TP2/TP3: from wave = |Entry − SL| using your Fib multipliers.
Zones are drawn 20 bars forward with labels for Entry/SL/TP.
Key Inputs
TP1/TP2/TP3 Fib: 0.618 / 1.0 / 1.618 by default.
HTF (tfHTF): higher-timeframe filter (default 60m).
brLen: breakout lookback (suggest 20–50).
rvolMin / atrNorm: normalization floors for relative volume and ATR%.
emaBandMin: minimum EMA20–EMA50 gap; below this, score is penalized.
showBarHL: toggle bar highlighting.
Note: adxMin is reserved for future use (not enforced as a hard filter in this version).
Practical use
Timeframes: best from M15 to H4. On M1–M5, raise brLen and rvolMin to fight noise.
Markets: liquid futures/crypto/FX. For thin symbols, reduce RVOL impact.
Exits: scale out across TP1/TP2/TP3; after TP1, move to break-even.
Context filter: trade only when HTF & LTF align (built into the logic).
Risk: position size from SL distance; keep risk ≤ 1–2% per trade.
Caveats (repainting / behavior)
Pivot-based SL confirms after 5 bars — by design it’s delayed. Until then, a ±2% safety SL is used.
Zones/labels are placed on bar close when the signal flips — this reduces flicker and intrabar artifacts.
HTF data uses request.security — prefer closed bars to avoid intrabar higher-TF whipsaws.
This is an indicator, not a strategy; no guarantees. Forward-test and tune per market/TF.
Suggested presets
Trend/Swing (H1–H4): brLen=30–50, rvolMin=1.2–1.5, atrNorm=0.02–0.03, emaBandMin=0.002–0.004.
Intraday (M15–M30): brLen=20–30, rvolMin=1.1–1.3, atrNorm=0.03–0.05, emaBandMin=0.0015–0.003.
Futty (Futures Lot Calculator)Futty – Futures Risk & Position Sizing Tool
Futty is a risk management and position sizing indicator designed for futures traders.
It automatically detects the dollar value per point for popular CME futures (Equity, Forex, Commodities, Bonds, Metals, etc.) and helps you calculate the optimal lot size based on:
Account size 💰
Risk percentage (%)
Entry, Stop Loss, and Take Profit levels
The indicator plots Entry, SL, and TP zones on the chart, shows risk/reward labels, and provides a clean info table displaying account size, risk %, dollar per point, cash at risk, and recommended lot size.
With Futty, you can trade with clarity, knowing your exact risk exposure and position size before entering any futures trade.
Worstfx Fractal Sessions V1.0Worstfx Sessions V.1.0 (Eastern Timezone)
A simple but powerful session visualizer designed to keep your focus on the right market windows. This indicator is designed to outline major Forex/Futures market sessions.
It is built for traders who want visual clarity on sessions & important market structure zones.
✅ Features:
• Automatic shading of Asia, London, Pre-NY, and NY sessions.
• Centered session titles that adapt to each window.
• 6:00 pm ET day divider (new trading day) with vertical weekday labels.
• Lightweight design — no extra clutter, just structure.
⚙️Customization
• Session colors & opacity: change each session’s look.
• Titles: toggle on/off, adjust color and font size.
• Dividers: toggle day divider on/off, change line color, choose weekday label color/size
🦾 Strengths
• Forces traders to see the market in cycles instead of random candles.
• Makes fractal rhythm (Asia → London → NY) visual.
• Great for building timing & patience (when not to trade matters just as much).
🚧 Limitations:
• Traders still need skill in reading price action inside the sessions — the indicator frames the market, but doesn't "predict."
- Score: 9/10 - Extremely useful, especially for people who get lost in noise. It gives them a map.
Stay tuned for updates!
SMA Crossover High/Low LinesSMA Crossover High/Low Lines (@version=5)
Purpose
This indicator plots horizontal lines and optional price labels on the high and low of candles where the price crosses a Simple Moving Average (SMA). It helps identify buy/sell signals visually on the chart.
Inputs
smaLength – Length of the SMA (default: 50).
showType – Which crossovers to show: "Both", "Buy Only", or "Sell Only".
lineLength – How many bars the horizontal line extends (default: 10).
showPriceLabels – Whether to show price labels at crossover points (true/false).
Logic
SMA Calculation – Computes a simple moving average of the closing price.
Crossover Detection:
crossUp → price crosses above SMA (buy signal).
crossDown → price crosses below SMA (sell signal).
Draw Horizontal Lines – At candle high and low of crossover:
Green for buy (crossUp)
Red for sell (crossDown)
Lines extend for lineLength bars
Optional Labels – Shows the high/low price at the end of the horizontal line if showPriceLabels is true.
Visualization
SMA line plotted in blue.
Buy crossovers → green horizontal lines and labels.
Sell crossovers → red horizontal lines and labels.
In short:
This indicator highlights buy/sell points where price crosses the SMA by marking candle highs/lows with colored lines and optional price labels for easy visual reference.
VWAP MTF Scalping ModuleThe VWAP MTF indicator allows you to visualize anchored VWAP across multiple timeframes, while maintaining a clean and responsive display.
Designed for intraday traders, scalpers, and swing traders, this module offers a clear view of volume-weighted average price zones across key timeframes (1m, 5m, 15m, 1h... customizable).
Shalev OB V2Indicator for OB for order blocks trade used to send an slert every time there is a new OB created or an old one is tuched
Rocket/Bomb PPO + SMI (confirmed, no repaint) — 1-liner labelsName: Rocket/Bomb PPO + SMI (confirmed, non-repaint)
What it does
Combines PPO (Percentage Price Oscillator) momentum with SMI (Stochastic Momentum Index) timing.
Prints a 🚀 “Rocket” buy label when PPO crosses up its signal and SMI crosses up its signal (momentum + timing agree).
Prints a 💣 “Bomb” sell label when PPO crosses down its signal and SMI crosses down its signal.
Labels are offset by ATR so they sit neatly above/below bars.
Why it’s clean (non-repaint)
Signals are gated by bar close confirmation (barstate.isconfirmed), so labels only appear after the bar closes—no flicker or back-filling.
Optional filter
“Strict SMI zone” filter: only allow buys when SMI < –Z and sells when SMI > +Z (default Z=20). This reduces noise in choppy markets.
Customization
PPO/SMI lengths, strict zone level, emoji vs arrows, label colors, icon size, and ATR offset are all configurable.
Alerts
Built-in alert conditions for Rocket (Long) and Bomb (Short) so you can automate notifications.
How to use (at a glance)
Trade in the direction of the Rocket/Bomb labels; the strict zone option helps avoid weak signals.
Best paired with basic trend or S/R context (e.g., higher-time-frame trend filter, recent swing levels) for entries/exits.
bygokcebey crt 1-5-9This script is designed to help you effortlessly track the 1 AM, 5 AM, and 9 AM timeframes, and monitor these levels across lower timeframes as well. It allows you to easily identify key price levels, such as the lowest, highest, and mid points during these crucial times, giving you a clear visual guide for trading decisions.
Key Features:
Defined Timeframes: The script specifically highlights the 1 AM, 5 AM, and 9 AM timeframes by drawing lines (representing the low, high, and mid levels) and adding labels (CRT Low, CRT High, and 50%) at these critical times.
Visibility of Time Levels: These key levels will appear only during the specified timeframes, ensuring a clean chart with relevant data at key moments.
Tracking in Lower Timeframes: These levels can also be followed in lower timeframes (e.g., 4-hour charts), allowing traders to monitor the important price levels continuously as they evolve.
Indicator Features:
The "bygokcebey crt 1-5-9" indicator will plot lines and labels only during the 1 AM, 5 AM, and 9 AM timeframes.
These levels can be tracked across lower timeframes, offering continuous reference points for your trades.
The lines and labels serve as visual markers, helping you track significant price points and providing a reliable guide to refine your trading strategy.
If you'd like to add more features or make any adjustments, feel free to let me know how I can assist further!
Valid H/LsOverview
Advanced breakout indicator that identifies valid high and low levels with statistical performance analytics. Features confirmation systems, visual customization, and historical MFE/MAE analysis to help traders identify high-probability setups.
Key Features
📈 Smart Breakout Detection
Automatically identifies confirmed valid high/low breakout levels
Shows potential setups before confirmation with different styling
Filters setups using institutional order flow (I/O) signals
🎯 Visual Display
Dynamic Lines: Full extension or shrinking previous lines for cleaner charts
Color Coding: Customizable colors for highs (red) and lows (green)
Confirmation Candles: Highlights breakout confirmation with custom colors
Background Boxes: Optional zone highlighting around valid levels
📊 MFE/MAE Analytics
Multi-Timeframe: 1-hour and 3-hour performance analysis
Historical Data: Analyzes 10-500 past setups for profit/risk statistics
Profit Targets: MFE lines show typical profit potential
Risk Levels: MAE lines indicate common drawdown zones
How to Use
Green = Bullish: Valid low breakout levels
Red = Bearish: Valid high breakout levels
Solid Lines: Confirmed setups ready for trading
Dashed Lines: Potential setups awaiting confirmation
Use Analytics: MFE for profit targets, MAE for stop loss placement
Key Settings
Show Valid Highs/Lows: Toggle breakout level display
Only Show with I/O Prints: Filter for institutional signals only
Line Display Mode: Choose full extension or shrinking lines
Show MFE/MAE Analytics: Enable statistical overlays
Analytics Lookback: Set number of historical setups to analyze (10-500)
Timeframe Options: Toggle 1-hour and 3-hour analytics
Best Practices
Wait for solid line confirmation before entries
Use MFE analytics for realistic profit targets
Use MAE analytics for appropriate stop losses
Combine multiple timeframe analytics for better context
Always apply proper risk management
Technical Notes
Works on all timeframes and markets
No repainting once confirmed
Analytics update dynamically with new data
Optimized for breakout trading strategies
Engulfing - Bullish & Bearish(vu)Got it. I merged your two indicators into one, keeping the same structure/variables and alerts—only strengthening the rule so that:
Bullish: current candle closes ≥ previous High (no need for open ≤ previous Low).
Bearish: current candle closes ≤ previous Low.
Everything else (trend filter, long/small body checks, labels, background, alerts) follows your originals.
Weekly Period Separator [Adjustable History]Features:
Adjustable History: Shows weekly separators for a configurable number of weeks back (1-100 weeks)
Customizable Appearance:
Choose line color, width, and style (solid, dotted, dashed)
Defaults to showing 10 weeks of historical data
Accurate Week Detection: Properly handles week boundaries regardless of timezone
Clean Implementation: Uses lines that extend from bottom to top of chart
