HA EMA10.30 Pullback, Trend Bias, No ConsolidationThis script is a trend-bias + entry signal indicator built around the Heikin-Ashi pullback strategy you shared.
It does three main jobs:
Decides the market bias (LONG only, SHORT only, or NO TRADE)
Filters out consolidation / chop
Signals entries only when momentum aligns
อินดิเคเตอร์และกลยุทธ์
Trend Strength + SSL Channel TableHOW TO READ THIS (POWERFUL COMBO)
Trend Strength = timing
SSL Channel = directional bias
Best trade conditions:
Bullish Trend + Strong/Medium + SSL Bullish
Bearish Trend + Strong/Medium + SSL Bearish
Avoid:
Exhaustion + SSL disagreement → chop / fakeouts
This table is now a high-quality trade filter, not just information.
Benner Cycle Map (A/B/C)Benner Cycle Map (A/B/C Years) + Macro Events • Educational Overlay
Description:
This script is an educational overlay that visualizes the classic Benner Cycle “A/B/C” year map (as presented on the historical Benner card) and optionally plots a curated set of major macro/market events (e.g., 1929 Crash, 9/11, Lehman, COVID) for historical context.
⚠️ Important: This indicator is NOT a trading strategy, does NOT generate buy/sell signals, and does NOT predict future market outcomes. It should not be used as financial advice.
What it shows:
A years (Panic)
B years (Good Times / Sell years)
C years (Hard Times / Buy/Accumulate years)
Optional Macro Events Overlay (context markers only)
Key features
Dynamic rebuild on zoom/pan (keeps labels aligned with the visible range)
Full customization: label position (Top/Center/Bottom), colors, opacity, sizes
Multiple label formats: horizontal, stacked, or vertical-styled (simulated via line breaks)
Background regime shading with selectable overlap priority
Two on-chart panels: Legend + Current Year Status
How to use (educational use-case)
Use this overlay to study historical clustering of the mapped years against price behavior and major events. It’s best viewed on higher timeframes (weekly/monthly) to reduce clutter.
Disclaimer
Markets are complex and influenced by countless variables. The Benner cycle map and the event markers shown here are provided for learning and visualization only. Past patterns do not guarantee future results. Always do your own research and risk management.
Acrobatic Loto Predictor [Taolue Remix]
市場のカオスを、幸運の数字へ。
このインジケーターは、現在のチャートの「価格変動」「時間」「ボラティリティ」を複雑な計算式(カオス力学)に通すことで、 Loto 6 (6/43) および Loto 7 (7/37) の予想数字を算出する実験的なツールです。
単なるランダム生成(乱数)ではありません。RSIやボリンジャーバンドといったテクニカル指標の数値を「乱数の種(シード)」として使用しているため、 「相場の息遣い」がそのまま数字として出力されます。
【主な機能】
1. モード: 設定画面から「Loto 6」と「Loto 7」を切り替え可能です。
2. カオス&テクニカル・ロジック:
- カオス力学: ローレンツ・アトラクタに着想を得た非線形計算。
- テクニカル: RSI(相対力指数)とボリンジャーバンドの位置関係を係数化。
- 概念定数: 黄金比(φ)や特定の数学的定数を隠し味に配合。
3. ストップ(固定)機能: チャートが動くたびに数字は変動しますが、「ここだ!」と思った瞬間にチェックボックスで数字を 完全固定(ロック) できます。
4. リロール(再抽選)機能: 固定した数字が気に入らない場合、リロール値を変更することで、その瞬間のパラレルワールド(別の計算結果)を呼び出せます。
5. ディスコモード: 数字が変動している間は背景色がリズミカルに変化し、固定すると色が落ち着く視覚効果付き。
【使い方】
1. チャートに追加します(ビットコインや為替など、動きのある銘柄推奨)。
2. 設定画面で Loto 6 か Loto 7 を選びます。
3. チャートを眺め、相場の「波」を感じます。
4. 直感的に良いタイミングで設定画面の 「ストップ(数値を固定)」 にチェックを入れます。
5. 表示された数字をメモします。(気に入らなければ「結果のリロール」数値を変更してください)
※免責事項:
このツールはエンターテインメント目的で作成されています。当選を保証するものではありません。宝くじの購入は自己責任で楽しみましょう。
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Transform Market Chaos into Lucky Numbers.
This indicator is an experimental tool that generates predictions for Loto 6 and Loto 7 by feeding current chart data—price action, time, and volatility—into complex chaotic algorithms.
This is not a simple random number generator. It uses technical indicators like RSI and Bollinger Bands as "seeds" for generation. Essentially, the heartbeat of the market decides your numbers.
1. Mode: Switch between "Loto 6" (pick 6 from 43) and "Loto 7" (pick 7 from 37) in the settings.
2. Chaos & Technical Logic:
- Chaos Dynamics: Non-linear calculations inspired by the Lorentz Attractor.
- Technical Analysis: Weighing factors based on RSI and Bollinger Band positioning.
- Conceptual Constants: Incorporates the Golden Ratio (φ) and other mathematical constants.
3. Freeze/Lock Function: Numbers fluctuate with every tick. Use the "Stop" checkbox to lock the numbers at the exact moment you feel the market energy align.
4. Reroll System: If you lock the numbers but don't like the result, change the "Reroll" value to access a parallel timeline (alternate calculation result) for the same candle.
5. Disco Visuals: Background colors dance rhythmically while spinning and settle down when locked.
1. Add to chart (highly volatile assets like BTC or FX recommended).
2. Select Loto 6 or Loto 7 in the settings.
3. Watch the chart and feel the "wave" of the market.
4. Check the "Stop (Lock Numbers)" box in settings when your intuition strikes.
5. Note down the numbers. (Use the "Reroll" input if you want to reshape your destiny).
This tool is for entertainment purposes only. It does not guarantee any lottery winnings. Please play responsibly.
DCR/WCR Indicator with SPY Relative StrengthOverview
This indicator displays Daily Close Range (DCR) and Weekly Close Range (WCR) metrics to help traders identify momentum, buying/selling pressure, and relative strength compared to the S&P 500 (SPY). The data is presented in a clean, color-coded table that can be positioned anywhere on your chart.
What This Indicator Measures
Daily Close Range (DCR)
Formula: (Close - Low) / (High - Low) × 100
Purpose: Shows where the current candle closed within its daily range as a percentage (0-100%)
Interpretation:
90-100% (Strong Buy): Price closed near the daily high, indicating strong buying pressure and bullish momentum
70-90% (Bullish): Price closed in the upper portion of the range, suggesting buyers are in control
30-70% (Neutral): Price closed near the middle, indicating consolidation or indecision
10-30% (Bearish): Price closed in the lower portion, suggesting sellers are gaining control
0-10% (Strong Sell): Price closed near the daily low, indicating strong selling pressure and bearish momentum
Weekly Close Range (WCR)
Formula: (Weekly Close - Weekly Low) / (Weekly High - Weekly Low) × 100
Purpose: Analyzes where the stock finished the week relative to the weekly high and low
Interpretation:
≥60% (Accumulation): Closing in the top 40% of the weekly range suggests institutional buying and strong support. This often indicates smart money is entering positions
40-60% (Neutral): Middle of the range shows indecision with neither buyers nor sellers in clear control
≤40% (Distribution): Closing in the bottom 60% suggests selling pressure and potential institutional distribution
SPY Relative Strength Comparison
The indicator calculates the difference between your stock's DCR/WCR and SPY's DCR/WCR to determine relative strength:
Much Stronger (+20% or more): Your stock is significantly outperforming the market - exceptional relative strength
Stronger (+10% to +20%): Your stock is outperforming the market
Similar (-10% to +10%): Your stock is moving in line with the broader market
Weaker (-10% to -20%): Your stock is underperforming the market
Much Weaker (-20% or less): Your stock is significantly underperforming - consider this a warning sign
Trading Use Cases
Confirming Breakouts
High DCR (>70%) during a breakout confirms strong buying interest
High WCR (>60%) suggests institutional support for the move
If both are strong while SPY is weak, you've identified exceptional relative strength
Identifying Reversals
Extremely low DCR (<10%) after a downtrend may signal capitulation
Rising DCR while WCR remains strong suggests a bounce is sustainable
Divergence between DCR and SPY can highlight emerging leadership
Volume Confirmation
High WCR (>60%) with strong volume = institutional accumulation (bullish)
Low WCR (<40%) with high volume = institutional distribution (bearish)
Use in conjunction with volume analysis for best results
Market Context
Compare your stock's metrics to SPY to understand if momentum is stock-specific or market-wide
Stocks showing strength while SPY is weak often become market leaders
Stocks showing weakness while SPY is strong should be avoided or exited
Customization Options
Table Position: Choose from 9 positions to place the table anywhere on your chart (top/middle/bottom × left/center/right)
SPY Comparison Toggle: Enable or disable the SPY relative strength comparison rows
Best Practices
Use Multiple Timeframes: DCR gives you intraday momentum, WCR provides the weekly trend
Combine with Volume: High WCR with strong volume is particularly bullish
Monitor Divergences: When DCR and WCR diverge, it may signal a change in trend
Relative Strength Matters: Focus on stocks showing strength vs SPY for better risk/reward
Context is Key: A high DCR in a downtrend may just be a bounce; always consider the bigger picture
Color Coding
The indicator uses intuitive color coding:
Green: Bullish signals (high DCR/WCR, outperformance vs SPY)
Yellow: Neutral signals (middle range, similar to SPY)
Red: Bearish signals (low DCR/WCR, underperformance vs SPY)
Note: This indicator works on all timeframes and asset types. It's particularly useful for swing traders and investors looking to identify momentum and institutional activity. Always use in conjunction with other technical analysis tools and proper risk management.
7AM Daily Open (Round to 0/5) + AlertsIndicator Description: 7AM Daily Open Zone (Rounded)
This indicator is designed to establish a daily trading range based on the market open at 07:00 AM (Bangkok Time, UTC+7). It automatically plots a central reference line and two boundary lines (Upper and Lower) to help traders identify key support and resistance zones for the day.
stelaraX - Williams %RstelaraX – Williams %R
stelaraX – Williams %R is a momentum oscillator designed to identify overbought and oversold market conditions. It measures the position of the current close relative to the highest high and lowest low over a defined lookback period and reacts quickly to changes in market momentum.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation
stelarax.com
Core logic
Williams %R is calculated over a user-defined period and oscillates between 0 and -100.
Key characteristics include:
* values near 0 indicate overbought conditions
* values near -100 indicate oversold conditions
* the -50 level acts as a momentum midpoint
When Williams %R moves above the overbought threshold, bullish momentum may be stretched. When it moves below the oversold threshold, bearish momentum may be stretched.
Visualization
The script plots:
* the Williams %R line in a separate indicator pane
* a configurable overbought level
* a configurable oversold level
* a midline at -50 for directional context
The area between the overbought and oversold levels is visually highlighted, making extreme momentum conditions easy to identify.
Use case
This indicator is intended for:
* identifying overbought and oversold market conditions
* spotting potential momentum reversals
* confirming short-term trend exhaustion
* divergence analysis between price and momentum
* timing entries and exits in ranging or trending markets
For traders who want to combine classical oscillators with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
ADAPTIVE SCALP MASTERADAPTIVE SCALP MASTER (ASM)
Overview
ADAPTIVE SCALP MASTER (ASM) is a high-performance technical analysis tool specifically engineered for scalpers and day traders. It combines statistical volatility analysis with a unique time-frame adaptation engine, allowing the script to automatically recalibrate its sensitivity whether you are trading the 1-minute chart or the 4-hour trend.
The core logic is based on Z-Score Mean Reversion coupled with Zero-Lag Least Squares Moving Average (ZLSMA) for trend filtering, ensuring that you enter trades only when momentum and statistical overextension align.
Key Features
Timeframe Adaptation Engine: ASM automatically adjusts its Z-Score lengths, thresholds, and ATR multipliers based on your current chart. It tightens parameters for high-frequency scalping (M1-M5) and widens them for higher timeframes to filter out market noise.
Z-Score Mean Reversion: Utilizes statistical standard deviation to identify overbought and oversold conditions with precision.
Zero-Lag Trend Filtering: Features a customized ZLSMA to provide a smooth, reactive trend baseline without the lag of traditional MAs.
Smart Risk Management: Automatically calculates dynamic Stop Loss and Take Profit levels based on current ATR volatility.
Aggressive Scalping Mode: A specialized toggle for experienced traders that maximizes signal frequency by loosening standard confirmation filters.
How It Works
Normalization: The indicator calculates the price deviation (Z-Score).
Adaptive Thresholds: It checks if the price has reached a statistically significant extreme (Overbought/Oversold).
Multi-Stage Filtering:
Trend Filter: Signals must align with the ZLSMA direction (optional).
Volume Filter: Requires a surge in volume to confirm the move (optional).
Candle Confirmation: Requires price action to flip in the signal's direction before firing.
Execution: Once all conditions are met, the script plots entry shapes and dynamic risk levels.
Settings Guide
Aggressive Mode: Use this for fast-paced scalping on M1. It disables the trend and volume filters to capture every micro-reversal.
Base Sensitivity: Controls how far back the Z-Score looks. Default is 10. Lower values make the indicator more reactive.
Base Threshold: Standard is 1.5. Increase this value (e.g., to 2.0) if you want fewer, higher-probability signals.
Min Bars Between: Use this to prevent "signal clustering" during periods of high volatility.
User Interface
The Info Panel provides real-time data including:
Current Market Bias (Trend direction).
Live Z-Score value.
Current ATR-based volatility status.
Trade Signal confirmation status.
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history.
1. The Kernel Physics (Bandwidth Modulation)
In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA.
A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends.
It try solving this by making h a function of the Asset's volatility ratio:
heff=h×max(0.5,min(SMA(ATR20,100)ATR20,2.0))
If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal.
vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0
vol_mod = math.max(0.5, math.min(vol_ratio, 2.0))
h_eff = h_val * vol_mod
2. The Gaussian Loop (Endpoint Estimation)
Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate.
We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi, we calculate a weight wi based on how far away it is in time (distance).
The weight is derived from the Gaussian Kernel function:
wi=exp(−2heff2i2)
Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0.
for i = 0 to lookback by 1
float dist = float(i)
float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2)))
num := num + w * src
den := den + w
3. Statistical Deviation (MAE vs. StDev)
Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars.
This one use Mean Absolute Error (MAE) instead.
MAE=N1∑∣Price−y^∣
MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash.
Pine Script
float error = math.abs(src - y_hat)
float mae = ta.sma(error, lookback)
We project two sets of bands:
Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk.
Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE).
Input & Visual Summary
Kernel Physics:
h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother.
use_vol: Keep this TRUE. It prevents the bands from being too tight during news events.
Envelope Statistics:
mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
Trend Pro + No Wick Alert[tommy]no wick ema confirmation for notifications just something simple if you want to trade imbalence
Nifty By PaisaPani It is a trading system.
• Separate indicator designed specifically for BankNifty
• Intended for the mentioned timeframe only
• Focused on execution clarity, not predictions
🔒 Full access is limited.
⚠ Disclaimer:
For educational and demonstration purposes only.
Trading involves risk.
No profit guarantees are implied.
S21 SETUP! by TophengzkyThis script is intended only for a specific strategy or set up! Only to be use by Lightning Strategy Group T3 Snipers!
It was developed for us to make our trading strategy handy and easily to navigate and execute our set ups!
MACD Quality Confirmation Bipolar Index V2Indicator: MACD Quality Confirmation Bipolar Index (V2)
Overview
The MACD Quality Confirmation Bipolar Index V2 is a quantitative tool designed to solve the "False Signal" problem inherent in traditional MACD oscillators. Instead of merely showing momentum direction, this indicator filters MACD signals through a multi-dimensional Quality Engine that analyzes liquidity and price action efficiency.
Why Use This?
Standard MACD often produces "noisy" crossovers during low-volume consolidation or erratic price movements. This indicator assigns a "Quality Score" (0-100) to every move, visualized as a bipolar histogram.
Key Features
Liquidity Filtering (Volume Factor): Uses a percentile-based log-volume calculation over a 1-year lookback. It ensures that signals occurring on low institutional participation are suppressed.
Efficiency Scoring (Smoothness): Measures the ratio of candle body size to the total range. High-wick "erratic" price action reduces the score, while solid, trend-driven candles increase it.
Bipolar Visualization: * Positive Bars: Bullish momentum confirmed by high quality.
Negative Bars: Bearish momentum confirmed by high quality.
Bright Colors: Indicate "Strong Zones" (Score > 60), where price action and volume are in perfect sync.
Smart Crossover Labels: * Green/Red Triangles: High-quality crossovers (Score > 40).
Gray Triangles: Low-quality "noise" crossovers.
Yellow "!" Mark: A warning for extremely weak signals (Score < 20).
How to Trade
The Power Setup: Look for a Bullish Cross (Triangle) that coincides with a bar entering the Strong Zone (above 60). This indicates a high-conviction entry.
The Noise Filter: If you see a MACD crossover but the histogram remains in the "Active Zone" (below 40) or triggers a "!", exercise caution; the market may be ranging.
Trend Strength: Watch for increasing bar heights. If price moves higher but the Quality Score declines, it suggests a "hollow" trend prone to reversal.
Sector Rotation & Allocation StrategySector Rotation & Allocation Strategy
Overview This advanced indicator analyzes the relationship between Defensive and Cyclical sectors to identify market regimes and generate precise buy/sell signals. It automatically detects which asset you're viewing and provides tailored recommendations based on current sector rotation dynamics.
What It Does Identifies Market Regime – Determines if markets are in Risk-On (growth) or Risk-Off (defensive) mode Auto-Detects Your Asset – Classifies the current chart into one of 11 sectors Generates Trading Signals – Provides BUY/SELL signals based on sector alignment with market conditions Multi-Timeframe Analysis – Offers allocation recommendations from 1 week to 12 months Value Assessment – Scores each asset 0-100 to determine if it's a good trade NOW
How It Works
Market Regime Detection The indicator compares Defensive Sectors (Health Care, Consumer Staples, Utilities) against Cyclical Sectors (Technology, Financials, Energy, Industrials, Materials, Real Estate, Discretionary, Communication).
Risk-On Market (Green, >0): Cyclical sectors outperforming Economic growth expected Investors favoring growth stocks Action : Buy cyclicals, reduce defensives
Risk-Off Market (Red, <0): Defensive sectors outperforming Uncertainty or fear in markets Flight to safety occurring Action : Buy defensives, reduce cyclicals
Understanding the Four Tables
1. MARKET REGIME (Top Left) Market Regime : Current state – RISK-ON or RISK-OFF Bias : Which sector type is favored right now Strength : STRONG/MODERATE/WEAK – conviction level Current Sector : Your asset's sector classification Signal : Trading recommendation for your specific asset
2. SECTOR RANKINGS (Top Right) Shows relative strength of all 11 sectors vs SPY benchmark. Rel Str : Percentage outperformance/underperformance vs market Signal : ✓ = Outperforming, ✗ = Underperforming, − = Neutral
3. ALLOCATION RECOMMENDATIONS (Bottom Center) Suggested portfolio allocation between Defensive and Cyclical sectors. 1 Week : Tactical – follows current regime closely (70/30 split) 1 Month : Near-term positioning (65/35 split) 3 Months : Medium-term allocation (60/40 split) 6 Months : Balanced approach (50/50 split) 12 Months : Strategic/Contrarian – assumes mean reversion (40/60 split)
4. ASSET ANALYSIS (Bottom Left) Sector : Auto-detected sector classification Value Rating : STRONG BUY / BUY / HOLD / REDUCE / AVOID Value Score : 0-100 numerical assessment Rel Strength : How this asset performs vs SPY Regime Fit : Is this asset aligned with current market regime?
Trading Signals Explained
BUY Signals Oscillator crosses above oversold (30) Asset's sector is gaining momentum Regime is favorable for that sector
SELL Signals Oscillator crosses below overbought (70) Asset's sector is losing momentum Regime is turning unfavorable for that sector
How Value Score Works (0-100)
Relative Strength (40 points max) : Asset outperforming SPY by 5%+ → 40 points Asset outperforming SPY by 2-5% → 30 points Asset outperforming SPY by 0-2% → 20 points Asset underperforming slightly → 10 points Asset underperforming significantly → 0 points
Sector Alignment (30 points max) : Defensive in Risk-Off OR Cyclical in Risk-On → 30 points Misaligned sector → 0 points Unclassified → 15 points
Momentum (30 points max) : RSI > 60 → 30 points RSI 50-60 → 20 points RSI 40-50 → 10 points RSI < 40 → 0 points
Interpretation : 80-100 : STRONG BUY – High conviction opportunity 65-79 : BUY – Favorable setup 45-64 : HOLD – No clear edge 30-44 : REDUCE – Unfavorable conditions 0-29 : AVOID – High risk of underperformance
Best Practices Use Daily Timeframe or Higher – More reliable signals Combine with Price Action – Confirm with support/resistance Monitor Regime Changes – Transitions offer the highest ROI Respect Risk Management – Always use stop losses Don't Fight the Regime – Buying defensives during Risk-On is low probability
Disclaimer This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Conduct your own research before making investment decisions.
Version: 6.0 Author: @bigcitytom Last Updated: February 2026
Andra Algo//@version=5
indicator(title="Andra Algo V 1.2", shorttitle="Andra Algo V1.2", overlay=true)
// =====================
// INPUT
// =====================
src = input(defval=close, title="Source")
per = input.int(defval=100, minval=1, title="Sampling Period")
mult = input.float(defval=3.0, minval=0.1, title="Range Multiplier")
// =====================
// COLOR SET
// =====================
buyLineColor = color.white
sellLineColor = color.blue
midColor = #90bff9
buyBgColor = color.new(color.gray, 20)
sellBgColor = color.new(color.blue, 20)
// =====================
// SMOOTH RANGE
// =====================
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
ta.ema(avrng, wper) * m
smrng = smoothrng(src, per, mult)
// =====================
// RANGE FILTER
// =====================
rngfilt(x, r) =>
rf = x
rf := x > nz(rf ) ?
(x - r < nz(rf ) ? nz(rf ) : x - r) :
(x + r > nz(rf ) ? nz(rf ) : x + r)
rf
filt = rngfilt(src, smrng)
// =====================
// TREND DIRECTION
// =====================
upward = 0.0
upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward )
downward = 0.0
downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward )
// =====================
// MID LINE COLOR
// =====================
filtColor = upward > 0 ? buyLineColor : downward > 0 ? sellLineColor : midColor
plot(filt, title="Mid Line", color=filtColor, linewidth=2)
// =====================
// BUY & SELL CONDITIONS
// =====================
longCond = src > filt and upward > 0
shortCond = src < filt and downward > 0
CondIni = 0
CondIni := longCond ? 1 : shortCond ? -1 : CondIni
longCondition = longCond and CondIni == -1
shortCondition = shortCond and CondIni == 1
// =====================
// SIGNALS (FIXED BG COLOR)
// =====================
plotshape(longCondition, title="Buy Signal", text="BUY", style=shape.labelup, location=location.belowbar, size=size.small, textcolor=color.white, color=buyBgColor)
plotshape(shortCondition, title="Sell Signal", text="SELL", style=shape.labeldown, location=location.abovebar, size=size.small, textcolor=color.white, color=sellBgColor)
// =====================
// ALERTS
// =====================
alertcondition(longCondition, title="Buy Alert", message="Andra Algo V1.2 BUY")
alertcondition(shortCondition, title="Sell Alert", message="Andra Algo V1.2 SELL")
RT Signals & Overlays Signals & Overlays™ is an all-in-one toolkit made up of more than 20+ features primarily focused on generating useful signals & overlays to fulfill any trader's technical analysis needs with relevant data.
Weekly Cycles [SolQuant]The Weekly Cycles indicator maps recurring weekly behavioral phases onto the chart using colored daily boxes and labels. It divides each week into distinct phases based on observed market patterns, providing structural context for intraweek trading decisions.
█ USAGE
Weekly Phases
Each day of the week is assigned a behavioral phase:
• Sunday — Dead Gap Zone: Low-liquidity period where gaps from the weekend close can create traps. Price action during this phase is often unreliable for directional bias.
• Monday — False Move: The early-week move that frequently reverses. Monday often establishes a range extreme that gets swept later in the week.
• Tuesday — Consolidation: A transition day where the market digests Monday's move and begins building the structure for the week's main directional move.
• Wednesday/Thursday — Midweek Reversal: The highest-probability window for the week's primary directional move. This phase often sees the week's true trend establish itself.
• Friday — Model Completion: The closing phase where weekly targets are either achieved or the move stalls. Profit-taking and position squaring are common.
• Saturday — Weekend Trap: Low-liquidity continuation of Friday's action that can create misleading signals for the following week.
Visual Display
Each phase is represented by a colored box spanning the day's price range. Labels at the top of each box display the phase name for quick reference. The boxes update in real time as each day's high and low develop.
█ DETAILS
The indicator uses the day of the week (dayofweek) to assign phases. Box boundaries are defined by each day's opening time through the next day's opening time, with the price range tracking the high and low of bars within that window.
Historical boxes are maintained up to a configurable maximum count. Boxes are created at the start of each new day and their height is updated with each new bar as the day's range expands.
█ SETTINGS
• Show Phase Labels: Toggle the text labels above each daily box.
• Phase Colors: Customizable colors for each day/phase.
• Max Boxes: Controls how many historical weekly cycle boxes are displayed.
Weekly cycle phases are based on observed market patterns and do not guarantee that price will follow the described behavior in any given week. Market conditions vary and phases should be used as context, not as standalone signals. This indicator does not constitute financial advice.
@subitrades AIO IndicatorAll In One Indicator by @subitrades
-Initial Balance
-Trading Sessions
-Monday High
-Monday Low
-VAH
-VAL
-POC
-Fibonacci
-VWAP
Two MA Crossover with Buy/Sell Labels//@version=5
indicator("Two MA Crossover with Buy/Sell Labels", overlay=true)
// === User Inputs ===
shortPeriod = input.int(10, title="Fast MA Period")
longPeriod = input.int(100, title="Slow MA Period")
maType = input.string("EMA", title="MA Type", options= )
// === Moving Average Function ===
ma(src, length) =>
maType == "EMA" ? ta.ema(src, length) : ta.sma(src, length)
// === Calculate MAs ===
fastMA = ma(close, shortPeriod)
slowMA = ma(close, longPeriod)
// === Plot MAs ===
plot(fastMA, title="Fast MA", linewidth=2, color=color.green)
plot(slowMA, title="Slow MA", linewidth=2, color=color.red)
// === Crossover Conditions ===
buySignal = ta.crossover(fastMA, slowMA)
sellSignal = ta.crossunder(fastMA, slowMA)
// === Buy Label ===
if buySignal
label.new(bar_index, low, "BUY 🚀",
style=label.style_label_up,
textcolor=color.white,
color=color.green)
// === Sell Label ===
if sellSignal
label.new(bar_index, high, "SELL 🔻",
style=label.style_label_down,
textcolor=color.white,
color=color.red)
3+ Consecutive Inside Candles Detectorlotshape(signal, title="Inside Candle Sequence", style=shape.labeldown,
text="Inside 3+", location=location.abovebar, color=color.new(color.blue, 0), size=size.tiny)
Master ORB (Custom TZ, TF 5m/15m/30m/60m)Master ORB (Custom TZ, TF 5m / 15m / 30m / 60m) is a precision Opening Range Breakout indicator built for traders who want clean, rule-based structure across global market sessions.
The indicator automatically defines the Opening Range based on your selected timeframe (5, 15, 30, or 60 minutes) and session, with full custom time zone support. Once the opening range is formed, the high and low are clearly plotted on the chart, creating objective breakout levels for the rest of the session.
Master ORB is designed to remove discretion and noise by:
Locking in the opening range once it completes
Maintaining fixed, non-repainting levels
Visually separating range formation from breakout phase
This allows traders to focus on execution, confirmation, and risk management, rather than constantly adjusting levels.
The indicator works across major sessions including London, New York, Frankfurt, and NY PM, making it suitable for index futures, forex, and liquid equities. It integrates seamlessly with momentum tools, trend filters, and higher-timeframe bias.
Best used for:
Opening range breakout and breakdown trades
Session-based trading plans
Bias confirmation and invalidation levels
Structured entries with defined risk
Key features:
Selectable ORB length: 5m, 15m, 30m, or 60m
Custom time zone alignment
Fixed, non-repainting range levels
Multi-session support
Clean visual structure with minimal chart clutter
Master ORB is a framework indicator, not a signal generator. It provides the structure needed to trade with discipline, consistency, and clarity across sessions and markets.
SMART TRADER 2 BY JONATHAN MWENDWA NDUNGESMART TRADER 2 BY JONATHAN MWENDWA NDUNGE is a professional-grade Donchian Trend Ribbon indicator designed for serious traders seeking clarity, precision, and reliability in trend analysis. Combining classic Donchian Channel logic with modern technical filters, this indicator identifies strong bullish and bearish trends while filtering out false breakouts and market noise.
Key Features:
Multi-Timeframe Support: Analyze trends from higher timeframes without leaving your chart.
Acceptance Candle Filter: Reduces false signals by requiring trend confirmation across multiple bars.
ADX Trend Strength Filter: Ensures trades are only signaled in strong trending conditions.
ATR Volatility Buffer: Accounts for market volatility to reduce whipsaws.
Dual Donchian (20/55) Option: Align short-term and long-term trend signals for higher accuracy.
Ribbon Alignment Scoring: Quantifies trend strength visually and numerically; strong trend signals appear when multiple ribbons align.
Non-Repainting & Backtest-Friendly: Ideal for both live trading and strategy backtesting.
This indicator is suitable for traders of all experience levels who want a robust trend-following tool that balances responsiveness with reliability.
Usage:
Green ribbons indicate bullish trends, red ribbons indicate bearish trends.
Long and short signals appear only when all filters align, helping traders avoid false breakouts.
Combine with your own risk management and confirmation strategies for optimal results.
Author: Jonathan Mwendwa Ndunge
Failed 2 StratInspired by Trader Mike, this indicator brings up failed 2 candles, alerting to possible reversals and 1R:1R scalps in the opposite direction. I've been using the m3 9EMA for continuation to push the trade a little further too.
Supported Timeframes Summary
Failed 2 on Opposite FVG on fvg_window) Approx Coverage
M15 M1 25 ~25 min
H1 M5 15 ~75 min
H3 M15 12 ~3 hours
H4 M15 10 ~2.5 hours
H6 M15 8 ~2 hours
D H1 12 ~12 hours






















