QCO - "Science" Based OSC This indicator, called QCO - Quantum Confluence OSC, combines three different types of information into one oscillator: trend, momentum, and volume-based order flow. It is designed to show when these three elements line up in the same direction.
Here is how it actually works, step by step, in simple terms.
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First, it calculates three separate components:
1. Trend component
It uses an 8-period and a 21-period exponential moving average. When the fast EMA is above the slow one, the trend is considered up, and vice versa. It then measures how far apart the two EMAs are compared to the current volatility (ATR). This distance is turned into a number between -1 and +1.
2. RSI component
It takes the standard 14-period RSI, subtracts 50, and divides by 30 so the result also moves roughly between -1 and +1. This keeps RSI on the same scale as the other two parts instead of letting it dominate just because it can reach 0-100.
3. Cumulative Volume Delta (CVD) component
On every green candle it adds the volume, on every red candle it subtracts the volume, and keeps a running total. This running total is then normalized (turned into a z-score) over the last 100 bars on the current timeframe. If the MTF option is enabled, it also pulls normalized CVD from the 5-minute and 15-minute charts and mixes them in with lower weights (60% current, 30% 5-min, 10% 15-min). The final CVD value is again clamped between -1 and +1.
These three numbers are multiplied by fixed weights (normally 35% trend, 35% RSI, 30% CVD) and added together to create one combined raw score. A short 3-period EMA smooths this raw score slightly so the line is readable.
The weights can shift a little if the regime filter is turned on: in very volatile periods it gives more weight to trend and less to CVD; in very quiet periods it gives a bit more weight to RSI.
A separate check called “resonance” looks at whether at least two of the three components have the same sign. If all three agree strongly, resonance is marked as high and the background gets a gold tint.
Divergence protection (optional) looks back 10 bars: if price makes a higher high but the 1-minute CVD is weaker than its previous peak, sell signals are blocked. The same idea works in reverse for bullish divergence on lows.
Signals appear only when:
- The smoothed score is beyond the user-set threshold (default 1.0, adjustable)
- The basic trend (8/21 EMA) agrees with the direction
- RSI is not already overbought for buys or oversold for sells
- Divergence protection (if enabled) does not block the signal
Strong signals (gold triangles) require high resonance. Regular signals (green/red triangles) fire even with lower agreement.
The oscillator itself plots between roughly -1.5 and +1.5, with zero as the center line. A small table in the corner shows the current state of trend, RSI level, CVD direction, total score, active signal, and resonance level.
That is the complete mechanism. It does not repaint, uses only past and current data, and works on any timeframe or asset that has volume.
What actually makes this oscillator different from the thousands of others on TradingView comes down to a few practical choices that most scripts ignore:
- It forces real confluence. Most oscillators only look at one thing (price or momentum). This one requires trend, momentum, and order-flow-based volume to point the same way before it gives a strong signal. Weak or conflicting readings produce no gold signal or no signal at all.
- It uses properly normalized inputs. Trend strength, RSI, and CVD are all forced onto the same -1 to +1 scale using statistically sound methods (ATR for trend, fixed division for RSI, z-score for CVD). This means none of the three can bully the final score just because it naturally swings wider.
- It brings in higher-timeframe order flow without repainting. Pulling normalized 5-minute and 15-minute CVD into a 1-minute chart is rare in public scripts and usually done wrong. Here it is coded cleanly with request.security and blended with sensible weights.
- It adapts the weighting to the market regime. In choppy, low-volatility ranges it leans more on RSI; in fast trending or high-volatility moves it leans more on trend and less on short-term CVD noise. Very few free indicators do this automatically.
- It has working hidden divergence protection on the CVD, not just regular price/RSI divergence. Since CVD reflects actual buying and selling pressure, this filter catches a lot of traps that normal divergence detectors miss.
- Resonance filter is simple but powerful: it literally counts how many of the three components agree. This single extra condition turns a decent oscillator into one that only screams when the probability is genuinely higher.
- The final line is lightly smoothed (3-period EMA on the combined score), so it moves fast enough for scalping but does not jump on every tick like most raw oscillators.
Because of these points, the signal-to-noise ratio is noticeably higher than a plain RSI, Stochastic, MACD, or even most “smart money” scripts that just plot cumulative delta without normalization or confluence checks. The gold triangles especially do not appear often, but when they do, multiple independent market forces are aligned at the same time.
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### Colors and what they mean
The indicator uses color in three places: the line, the background, and the signal triangles. Each one tells you something specific.
**The main line (Quantum Score)**
- Bright cyan (#00BCD4): this is the actual oscillator line you watch.
- Above zero = overall bullish pressure.
- Below zero = overall bearish pressure.
- The farther from zero, the stronger the combined pressure.
Typical range is roughly -1.5 to +1.5. Crosses of zero are not automatic signals (it needs more conditions), but they show when the balance flips.
**Background color**
- Light gold with transparency: High Resonance. All three components (trend, RSI, CVD) are clearly agreeing. This is the highest-conviction state.
- Very light green: trend is up but resonance is only medium or low.
- Very light red: trend is down but resonance is only medium or low.
- Grayish when flat: no clear trend or everything is mixed.
**Signal triangles**
- Large gold triangle up (bottom of pane): STRONG BUY → high resonance + all filters passed.
- Large gold triangle down (top of pane): STRONG SELL → same but bearish.
- Normal-sized green triangle up: regular buy (conditions met but components do not fully agree).
- Normal-sized red triangle down: regular sell (same, weaker agreement).
**The small table (top-right corner)**
- Trend: UP (green) or DN (red)
- RSI: number + color (red if >70, blue if <30)
- CVD: BUY (green) / SELL (red) / NEUT (gray)
- Score: current value of the cyan line
- Signal: BUY / SELL / WAIT
- Resonance: HIGH (gold) or LOW (gray)
### How to read it in practice
1. Wait for the cyan line to be clearly above or below zero. Close to zero usually means indecision.
2. Look at the background first:
- Gold background → pay maximum attention, probability is highest.
- Green or red background → direction is still valid, but not as powerful.
3. When a triangle appears:
- Gold large triangles: enter aggressively if your higher-timeframe bias agrees. These are the cleanest moves.
- Normal green/red triangles: still usable, especially if price is at support/resistance or you already have a position and want to add.
4. No triangle at all, even if the line is far from zero? One of the filters is blocking (usually RSI already overbought/oversold or hidden CVD divergence). It is deliberately staying quiet.
5. Quick checklist before taking a gold signal:
- Cyan line on the correct side of zero
- Background gold
- Gold triangle just printed
- Table shows “BUY” or “SELL” and “HIGH” resonance
That combination happens only a few times per day on most pairs, sometimes less.
In short: ignore everything until you see gold background + line up/down. That is when trend, momentum, and actual order flow are all pushing the same way at the same time. Everything else is secondary information or lower-probability setups.
BUY condition (table turns to BUY + line usually turns yellow)
All five must be true on the same bar:
finalScore > baseSensitivity
(default threshold = 1.0, you can lower it to 0.6–0.8 if you want more signals)
emaFast (8) > emaSlow (21) → trendUp = true
rsi ≤ 70 → not overbought
If “Divergence Protection” is enabled → no bearish hidden CVD divergence in last 10 bars
(price ≥ highest high of last 10 bars AND cvd1m_norm < highest cvd1m_norm of last 10 bars − 0.3)
Internally the rawScore is positive and rising (because finalScore is a 3-period EMA of it)
When all of the above are true → the table shows “BUY” in green and the oscillator line usually (but not always) turns yellow because resonance is high.
SELL condition (table turns to SELL + line usually turns yellow)
All five must be true:
finalScore < −baseSensitivity
emaFast (8) < emaSlow (21) → trendDown = true
rsi ≥ 30 → not oversold
If “Divergence Protection” is enabled → no bullish hidden CVD divergence in last 10 bars
(price ≤ lowest low of last 10 bars AND cvd1m_norm > lowest cvd1m_norm of last 10 bars + 0.3)
rawScore negative and falling
When all are true → table shows “SELL”.
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The QCS oscillator is not copied from any single academic paper, but almost every technical choice inside it comes from established, tested concepts that appear repeatedly in serious quantitative and institutional trading literature. Here are the real scientific or evidence-based roots for each major part:
1. **EMA 8 and EMA 21 for trend**
Widely used in institutional trend-following systems (examples: Aberration, many CTA trend models). The 8/21 combination is close to the classic 10/20 or 12/26 that appear in papers on adaptive moving averages and has been back-tested extensively in futures and forex since the 1990s.
2. **Trend strength normalized by ATR**
Directly from Kaufman (1995, 1998), Schwager, and later from papers on “volatility-adjusted momentum” (e.g., “Normalized Momentum” studies). Dividing price separation by ATR turns the raw difference into a dimensionless, comparable score across assets and timeframes – a standard technique in academic risk-parity and volatility-scaled strategies.
3. **RSI re-centered and re-scaled to -1 / +1**
Comes from statistical normalization practices in quantitative finance. Raw RSI is bounded 0-100, so it distorts weighted combinations. Re-scaling it to the same units as the other components is exactly what portfolio-construction and factor-investing literature does when combining signals of different native scales (see Grinold & Kahn, “Active Portfolio Management”).
4. **Cumulative Volume Delta (CVD) with z-score normalization**
Order-flow and volume-delta research exploded after 2010 with papers from the CME Group, Easley et al. (VPIN, 2012), and many microstructure studies. Normalizing cumulative delta by its own rolling standard deviation is the standard way high-frequency and market-making firms turn raw delta into a usable stationary signal (see Hasbrouck, “Empirical Market Microstructure” and many follow-up papers).
5. **Multi-timeframe order flow blending**
Institutional delta scalping desks and prop firms routinely look at delta on 1 m, 5 m, and 15 m simultaneously. Blending higher-timeframe delta with lower weights is a direct copy of how professional cumulative-delta tools (Bookmap, Jigsaw, Sierra Chart clusters) filter noise.
6. **Regime-dependent weighting (high vol → trust trend more, low vol → trust oscillators more)**
Straight from regime-switching literature (Ang & Bekaert, Hamilton time-series regime models) and practical papers like “Trend Following in Different Volatility Regimes” (Clare, Seaton, etc.). The exact thresholds (1.3× and 0.7× average ATR) are simplified but follow the same logic used in many volatility-regime filters.
7. **Hidden divergence on volume delta instead of just price**
Comes from modern order-flow literature. Classic price/RSI divergence is well known, but hidden divergence between price and cumulative delta is a much stronger filter according to microstructure research and papers on “aggressive order flow” (e.g., studies using TAQ data and signed volume).
8. **Requiring pairwise agreement (the resonance score)**
This is a very simple form of factor concordance or ensemble agreement, a technique used in almost all professional quantitative models to reduce false positives. Academic factor-timing papers (Asness, Frazzini, etc.) and ensemble machine-learning literature show that requiring multiple independent signals to agree dramatically improves Sharpe ratio.
So while no single university paper is titled “Quantum Confluence OSC,” every single mechanism inside the indicator is copied from concepts that have been published, back-tested, and used for decades in real institutional or high-level quantitative trading. That is why it feels cleaner and more robust than 99% of retail indicators — it is built from the same building blocks that actual trading firms use, just simplified into one Pine Script.
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Qosh GRC 3Qosh GRC 3
Comprehensive indicator for crypto market analysis with advanced correlation capabilities and wave strength assessment.
Core Components
Mid Index (Green line)
Dynamic middle line based on EMA with hesitation filter. Determines current market zone (Bull/Bear).
Settings:
• Length: 230 (default)
• Hesitation: 0.0001
Mid Index 2 (Black line)
Channel middle line based on highest/lowest values. Visibility depends on slope (>0.15% change over 4 bars).
Settings:
• Length: 20 (default)
SMA
Two moving averages for trend analysis:
• SMA A (red): 50 periods
• SMA B (blue): 200 periods
Main Bars with Open Interest
Bar color depends on Open Interest level:
• Blue = bullish bar
• Red = bearish bar
• Opacity inversely proportional to OI (higher interest → more saturated color)
opacity = reverseAndRound(((oi_smoothed * 100 / 1)) / 2)
bar_color = color.new(close >= open ? color.blue : color.red, opacity)
Oscillators (Lord Caramelo)
BTC Oscillator
Semi-transparent green oscillator based on BTCUSDT. Shows Bitcoin's base movement for comparison.
Main Oscillator (4 candles)
Price movement decomposition into 4 components:
• Verde (green) — bullish strength
• Branca (white) — neutral zone
• Vermelha (red) — bearish strength
• Azul (blue) — baseline
Wave Strength (Candle Strength)
Displayed on top of main oscillator:
• Aqua = bullish wave
• Maroon = bearish wave
Candle height = wave intensity (based on TCUD calculations).
Critical Levels
• 0.2 (green) — oversold zone
• 0.8 (purple) — extreme overbought
Critical Zone Indication
Background colors when oscillator breaches critical levels and price diverges from Mid Index >2%:
• Blue background = bullish extremity
• Red background = bearish extremity
Correlation
Correlation A (primary)
Correlation of current asset with selected ticker (default BTCUSDT). Displays scaled candles of correlating asset.
Correlation B and C (additional)
Correlation calculation between two arbitrary ticker pairs.
Information Table
Top right corner displays:
• Movement strength of Mid Index and Mid Index 2
• Correlation values A/B/C
• Current market state (Bull/Bear)
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HVPro Style IndicatorHVPro Style Indicator – Historical Volatility + Volume
HVPro Style Indicator is a combined volatility-and-volume tool designed to help traders visualize market expansion and contraction phases.
It calculates Historical Volatility (HV) using log-returns and a customizable lookback period, then smooths the result for a cleaner trend signal.
The script also includes a volume histogram, scaled by a multiplier, with bar colors changing based on whether volatility is rising or falling.
This makes it easy to spot moments when both volume and volatility align, often signaling trend transitions, breakouts, or exhaustion.
Features
✔ Historical Volatility calculation (annualized)
✔ Smoothed HV for cleaner visual trends
✔ Volume histogram with customizable multiplier
✔ Volume bar color shifts based on HV direction
✔ User-controlled visibility for both HV and volume
✔ Lightweight and optimized for all timeframes
How to Use
Rising HV (green volume bars) can indicate trend expansion or breakout momentum.
Falling HV (red bars) suggests contraction, ranging conditions, or volatility cooldown.
Watch for volatility shifts combined with volume spikes for potential trade entries.
MarketMafia Internals Overlay (0.5 steps, pure overlay)This indicator is designed to give you the over all heartbeat of the market for SPY,QQQ and IWM. Designed to give more confirmation on the internals of the markets direction to help keep you on the right side of the market
Second chartThis is a trend-following momentum confirmation indicator designed to filter trades in the direction of the dominant trend while timing entries using RSI momentum shifts.
Best suited for:
✅ Forex & Crypto
✅ 5m – 1H timeframes
✅ Trend continuation strategies
⚙ Inputs Explained
▸ Trend MA Length
Controls the EMA trend filter
Lower value (20–30) → faster, more signals
Higher value (50–100) → slower, stronger trend filter
▸ RSI Length
Controls responsiveness of momentum
Standard setting: 14
Lower → aggressive entries
Higher → conservative entries
▸ Show Buy/Sell Signals
ON → Displays BUY/SELL labels
OFF → Hides all trade signals
▸ Trend Background
ON → Green = Bullish / Red = Bearish
OFF → Clean chart mode
🧠 Signal Logic Breakdown
Trade By Design – Free Edition (v0.1)A clean, high-performance session & liquidity framework designed to bring structure, clarity, and precision to your intraday trading.
This indicator is inspired by the Trade Travel Chill – Trade By Design methodology and provides a free, simplified version of the core concepts—ideal for day traders seeking to understand market structure, session behavior, and intraday liquidity dynamics.
🔍 What This Indicator Does
The Free Edition automatically maps the most important intraday levels and contextual factors that drive daily price delivery.
Key Features:
• HOW / LOW
• IHOD / ILOD / 50% Asia
• HOD / LOD
• PVSRA Candles
• Vector candles
• Perp autooverride
⚠️ Version Notice (v0.1 – Early Release)
This is an early, not all features are active yet.
This version focuses purely on the core structure, keeping everything lightweight and easy to use.
⚠️ Disclaimer
This is an unofficial free re-creation inspired by public concepts taught in the Trade By Design methodology.
It is not endorsed, affiliated with, or sponsored by TradeTravelChill.club or its owners.
If you enjoy this indicator and want the complete methodology, mentorship, and full system, please support the original creators by purchasing the official course at:
👉 tradetravelchill.club
EMCT - Explosion Matrix / Candle TechScript Purpose
The "Explosion Matrix • Micro-Scalp Edition" is a highly aggressive 1-minute scalping indicator designed specifically for Bitcoin (and other crypto) trading. It detects three types of high-probability price action patterns in real time: reversal patterns (trend changes), continuation patterns (trend follow-through), and micro patterns (tiny scalp setups), with a special focus on visually highlighting strong rejection candles like Shooting Stars and Hammers.
Core Detection Logic
The script identifies classic and enhanced candlestick patterns (Shooting Star, Hammer, and large-body "John Wick" candles) by analyzing wick-to-body ratios, close position within the range, and candle size relative to ATR. It classifies each pattern as either reversal (against the trend) or continuation (with the trend) based on EMA alignment (8-21-50) and price position.
Trend & Momentum Context
Uses a triple EMA system (fast=8, mid=21, slow=50) to determine strong/weak trends. Momentum is checked via recent price direction. This context decides whether a rejection candle acts as reversal (at exhaustion) or continuation (pullback in strong trend).
Optional Confirmation Filters
Cumulative Volume Delta (CVD) Z-Score: measures aggressive buying/selling pressure; can be required for signals
Volume surge detection: filters for candles with significantly above-average volume
Scoring & Visual System
Each detected pattern receives a score (2–9+) based on strength, reversal/continuation type, and confirmation filters. Higher scores = brighter, larger, more opaque colored frames drawn around the candle(s). Frames are adaptive in size: largest for reversals, medium for continuations, smallest for micro signals.
Visual Output
Draws colored rectangular "explosion frames" directly on the chart around triggering candles. Labels show direction and type (REV↑, CON↓, ↑/↓) with optional score. Intensity-based coloring ranges from mild to extreme bull/bear.
Additional Features
Includes a separate CVD Z-Score subplot with threshold lines, customizable visual styles (Adaptive/Uniform/Minimal), and built-in alerts that fire separately for reversal and continuation patterns. Optimized for maximum detection frequency in fast-moving 1-minute crypto markets
HTF Candles Display MCThis indicator allows you to put up the live price from any timeframe to any timeframe.
You can choose how many candles it showcases.
Stay up to date with your power of 3 at all times
B/B Timeframe This indicator showcases the current state of every timeframe. (Bullish / Bearish)
Keeps it in check at all times and changes the changes are happening live.
Felix-Style Breakout ScannerThis stock scanner will scan stocks back on the 50MA, heartbeat pattern and buy volume to detect a good buying opportunity.
知行趋势指标根据Z哥给的通达信指标翻译为pine script，去掉了TV没有的行业板块概念信息。
知行趋势指标（Zhixing Trend Indicato）
知行趋势指标是一种基于多重均线的趋势跟踪工具，结合短期 EMA 与多周期 SMA，以判断市场的短期和中长期趋势。
指标组成：
知行短期趋势线（zx_short）：采用双 EMA（EMA(EMA(Close, 10),10)）计算，反应价格的短期波动和趋势。
知行多空线（zx_trend）：由四条不同周期的 SMA 平均计算（默认周期 M1=14, M2=28, M3=57, M4=114），用于判断市场的多空方向。
使用说明：
指标只在日线及以上周期显示，分钟和小时级别周期自动隐藏。
短期趋势线可以捕捉快速的价格变化，而多空线用于确认整体趋势方向。
可通过调整四条 SMA 周期，适应不同市场和品种的波动特点。
Zhixing Trend Indicator
The Zhixing Trend Indicator is a trend-following tool based on multiple moving averages. It combines short-term EMA with multi-period SMA to identify both short-term and medium-to-long-term market trends.
Components:
Short-Term Trend Line (zx_short): Calculated using a double EMA (EMA(EMA(Close,10),10)), reflecting short-term price fluctuations and trend.
Bull-Bear Line (zx_trend): Calculated as the average of four SMAs with different periods (default M1=14, M2=28, M3=57, M4=114), used to determine overall market direction.
Usage Notes:
This indicator only displays on daily or higher timeframes; intraday (minute/hour) charts are automatically hidden.
The short-term trend line captures fast price movements, while the bull-bear line confirms the overall trend.
SMA periods can be adjusted to suit different markets or trading instruments.
Position Size Calculator - R & ATR v1# Position Size Calculator - R & ATR
Professional position sizing tool for crypto traders using risk management principles and ATR-based stop loss placement.
## Features
✅ **Automatic ATR Calculation** - Uses ATR(14) by default, customizable period
✅ **Risk Management** - Calculate position size based on portfolio % risk
✅ **Tranche Support** - Split positions into multiple entries
✅ **Visual Stop Loss** - Red line showing stop loss placement on chart
✅ **Real-time Results** - Table displays all calculations instantly
✅ **Clean Interface** - Professional table with all key metrics
## How It Works
The indicator calculates optimal position size using this formula:
1. **Risk Amount** = Portfolio Size × (Risk % / 100)
2. **Stop Distance** = ATR × Multiplier
3. **Stop Loss Price** = Entry Price - Stop Distance
4. **Position Size** = Risk Amount / Stop Distance
5. **Tranche Size** = Position Size / Number of Tranches
## Settings
**Portfolio & Risk**
- Portfolio Size (USD): Your total trading capital
- Risk per Trade (R in %): Percentage of portfolio to risk per trade
- Number of Tranches: Split position into multiple entries
**ATR Settings**
- ATR Length: Period for ATR calculation (default: 14)
- ATR Multiplier: Multiply ATR for stop loss distance (0.5x, 1x, 1.5x, etc.)
**Display**
- Show Stop Loss Line: Toggle red stop loss line on chart
- Show Calculation Table: Toggle results table
## Results Displayed
- Risk Amount (1R): Dollar amount risked on trade
- Stop Distance: Distance from entry to stop loss
- Stop Loss: Exact stop loss price
- Risk per Coin: Amount risked per unit
- Position Size (coins): Number of coins to buy
RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder📈 RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder
This advanced RSI-based tool helps identify bullish and bearish market trends before they happen — combining classic RSI analysis with Cardwell-style reversals and range shift detection to act as a leading indicator rather than a lagging one.
🧠 Core Concept
The script detects when RSI behavior “shifts ranges,” a signature of trend changes:
• Bull Regime — RSI pullbacks hold above ~40 (momentum stays strong)
• Bear Regime — RSI rallies stall below ~60 (momentum weakens)
It then looks for leading clues inside those regimes:
• ✅ Positive Reversal: Price makes a higher low while RSI makes a lower low — a bullish continuation or early trend reversal signal.
• ❌ Negative Reversal: Price makes a lower high while RSI makes a higher high — an early warning of weakness.
• 🔁 Classic Divergences: Confirms reversals when RSI and price diverge at pivot points.
🎯 Signals
• Green “▲ Bull lead” — bullish reversal or divergence detected.
• Red “▼ Bear lead” — bearish reversal or divergence detected.
• Optional background shading:
• 🟩 Teal = Bullish regime
• 🟥 Red = Bearish regime
⚙️ Customization
• Regime sensitivity — Adjust RSI floor/ceiling for your asset’s volatility.
• Pivot sensitivity — Tune pivot lookback (L/R bars) for faster or slower signals.
• RSI smoothing — Filters noise without losing responsiveness.
• Alerts included — Trigger TradingView alerts for bullish or bearish leading signals.
🕵️♂️ Why it’s different
Unlike standard RSI divergences (which confirm after the move), this indicator uses positive/negative reversals to identify potential trend shifts early — a technique favored by Andrew Cardwell’s RSI analysis.
📊 Works great for:
• Swing trading and trend detection
• Spotting momentum regime shifts
• Stocks, crypto, FX, indices
AbundanceThis tool is purpose-built for the Indian market landscape.
Tailored for dedicated long-term market participants, this indicator assists with investment decisions in both shares and ETFs. The script harnesses a blend of technical elements—Super Trend, RSI, multiple EMAs, and their dynamic relationships (for example, a 50 EMA positioned above 200 EMA indicates bullish momentum).
Through actionable notifications and buy cues on daily charts, the indicator supports anyone aiming to build a resilient portfolio. The indicator caters both high risk and risk averse investors.
Every mechanism is intended to deliver an actionable perspective, ensuring a comprehensive approach for those seeking effective capital growth.
Designed specifically for the daily timeframe , this indicator places buy signals as color-coded arrows exclusively on daily candles.
The tool functions as an all-inclusive solution for both stock and ETF investors, applying tailored accumulation logic to each asset category.
Some context of the Indicator used and what they imply:
• 50 EMA (Daily) – Measures intermediate trends
• 200 EMA (Daily) – Gauges long-term direction
• Daily timeframe – Identifies short-term movement
• Weekly timeframe – Assesses intermediate perspective
• Monthly timeframe – Reveals long-term context
ETF Module
ETF Selection Logic: The script implements explicit screening for ETFs, allowing users to operate with greater nuance through four unique accumulation intensity levels.
• Purple Arrow: Signals mild accumulation opportunities for aggressive dip-buyers—triggered when the 50 EMA is above the 200 EMA (i.e., uptrend), daily RSI drops below 40, the ETF price closes between the two EMAs, and weekly RSI remains above 50. If weekly RSI fails this threshold, signals are withheld to maintain trend integrity.
• Green Arrow: Indicates moderate accumulation, appearing in downtrends (200 EMA above 50 EMA) when daily RSI is in the oversold area and the price dips below 200 EMA.
• Blue Arrow: Represents strong accumulation. Both daily and weekly RSIs fall below 40 and the script’s close is under 200 EMA. Optimized for patient investors looking to accumulate during medium-term weakness.
• Red Arrow: Marks rare, very strong accumulation zones. RSIs across daily, weekly, and monthly timeframes must all read oversold with the price below 200 EMA, signifying potential long-term undervaluation but also substantial weakness. Patience is vital, as recovery may require extended periods.
Stock Module
Ideal for application on stocks within the Nifty 200—a universe proven through liquidity and market record. Stock accumulation signals come in two calibrated levels:
• Level 1 – Purple Arrow (early, mild accumulation): Suited for investors who have missed prior reversal zones or want additional entries in ongoing uptrends. Requires weekly and monthly RSI values above 50—i.e., no medium or long-term weakness. Accumulation signals occur when the stock trades below its 50 EMA but above its 200 EMA (with 50 EMA above 200 EMA indicating a healthy uptrend), and ADX reads below 22 (confirming the decline is not part of an accelerating downtrend).
• Level 2 – High conviction, Potential Reversal: Designed for risk-averse users, this level targets stocks that have corrected significantly and approach the 200 EMA on daily charts. Accumulation is triggered only when short-term downtrends reverse (Super Trend indicator shifts from red to green). Orange upward triangles serve as a preparatory signal for anticipated reversals, while green upward triangles mark confirmed buy events. If Super Trend returns to red after an alert but before a buy, the sequence is invalidated, limiting false signals.
All signals aim to provide precise market timing without exposing conservative investors to unnecessary risk.
Arrow colors are visually summarized on the right panel for constant reference for both ETFs and Stocks.
