BullTrader - ParabolicSARFlipSignals(NonRepainting)TP/SL🧠 Purpose & Concept
This indicator refines Wilder’s Parabolic SAR into a simple, non‑repainting alert and visualization system that marks each confirmed trend flip with a clear buy or sell signal.
It also auto‑generates dynamic, ATR‑based Take‑Profit (TP) and Stop‑Loss (SL) levels, keeps them updating with price in real time, and displays the current market bias in an on‑chart table.
The goal: clarity and automation without complexity — see exactly when a new bullish or bearish phase begins, what your current TP/SL targets are, and receive a single clean alert for every new flip.
⚙️ How It Works
1. The built‑in ta.sar() function tracks the Parabolic SAR dots.
2. When a candle closes across the SAR line, a trend‑change is confirmed:
• Price crossing above a SAR dot → Buy Flip (green triangle).
• Price crossing below a SAR dot → Sell Flip (red triangle).
3. On each flip, the indicator calculates dynamic ATR‑based TP / SL targets:
TP = entry ± (ATR × tpMult) and SL = entry ∓ (ATR × slMult)
These values move automatically as the trend develops.
4. A small floating label beside the latest bar shows live‑updated TP / SL numbers.
5. A color‑coded table in the upper‑right corner displays the current trend: Lime = Bullish, Red = Bearish, Yellow = Neutral.
6. Each new flip triggers an easy‑to‑use Buy / Sell alert after the bar closes—no repainting.
🔔 Alerts
Alert Name Triggers When Message
SAR Buy Flip Alert Green triangle (bullish reversal) “BUY Flip — Parabolic SAR on {{ticker}} ({{interval}})”
SAR Sell Flip Alert Red triangle (bearish reversal) “SELL Flip — Parabolic SAR on {{ticker}} ({{interval}})”
📈 Chart Elements
Element Meaning
🟠 Orange cross Standard Parabolic SAR trail.
🟢 / 🔴 Triangles Confirmed buy / sell flips (non‑repainting).
Bright lime/red TP‑SL box Live ATR targets that move with price.
Trend table (top‑right) Instant status of bullish/bearish bias.
✅ Features & Highlights
Non‑repainting — all signals confirm on closed bars.
Visual clarity — single pair of bright triangles for flips.
Dynamic ATR‑based TP / SL values that auto‑trail with trend.
Always‑visible trend summary table.
Two ready‑made alert types (Buy / Sell).
Lightweight and optimized for any timeframe or symbol.
💡 Best Use
Ideal for traders who prefer clean trend‑based entries and volatility‑adaptive exits without signal clutter:
Pair it with your existing strategy or use it standalone for reversal‑based swing and intraday trading.
Pesquisar nos scripts por "文华财经tick价格"
Volume Based Ranges (VBR) [SS]Here is the Volume Based Ranges or VBR indicator.
How it works
The indicator works by:
Sorting volume into buying and selling volume, then
Calculating 2 independent Z-Scores for buying and selling data, then
Identifying the high buying and selling nodes through the use of the Z-score threshold.
Tracks the average target/move based on buying and selling nodes over a designated lookforward horizon (i.e. if you want to see the average move a high selling node happens over 20 candles, you can modify the lookforward horizon to 20).
Calculates the composition from each volume node, displaying the composition information on each line (the % of buying and selling each node contains).
How to Use it
To use this indicator:
Select the Z-Score length of assessment: By default, z-score is 75 and this is usually fine to leave.
Identify the threshold trigger: This will need to be adjusted based on your timeframe. If you are using 1 minute, the data is noiser and you want more profound signals. Thresholds generally in this range should be between 5 - 7. For larger timeframes, you want to relax this threshold, to about 2 to 3. You can toggle in increments of 0.5 to find what works the best. Generally you want to see very rigorous volume node signals instead of tons of them.
Determine what you want to see: You can turn of the support and resistance lines and just have the node identification signals and the return boxes. Or, you can just have the support and resistance lines and turn off the return boxes. You can customize the information the indicator displays in the settings menu to suit what you are most interested in.
Let's look at some examples '
DIS on the hourly. We can see that the average up move from the high buying nodes has a target of 115.42, and in between there we can see the high selling and buying nodes and their compositions.
High buying (100% of the high buying volume) is around the 112.61. This means, you would expect this to be an area of retracement.
We can also see that high selling is just below that at 111.66, which can be a resistance area.
Here is a closer look at the levels specifically:
EPAM on the daily:
You can see a successful retrace back to a high volume node.
Concluding remarks
That's the indicator!
Its one that is best to get a feel for, play around and decide on the settings you like for your individual ticker.
I have included tooltip descriptions for the settings within the indicator as well.
I hope you enjoy it and find it helpful!
Thanks for reading/checking it out and as always, safe trades!
nOI + Funding + CVD • strategynOI + Funding + CVD Strategy
Overview
This strategy is designed for cryptocurrency trading on platforms like TradingView, focusing on perpetual futures markets. It combines three key indicators—Normalized Open Interest (nOI), Funding Rate, and Cumulative Volume Delta (CVD)—to generate buy and sell signals for long and short positions. The strategy aims to capitalize on market imbalances, such as overextended open interest, funding rate extremes, and volume deltas, which often signal potential reversals or continuations in trending markets.
The script supports pyramiding (up to 10 positions), uses percentage-based position sizing (default 10% of equity per trade), and allows customization of trade directions (longs and shorts can be enabled/disabled independently). It includes multiple signal systems for entries, various exit mechanisms (including stop-loss, take-profit, time-based exits, and conditional closes based on indicators), a Martingale add-on system for averaging positions during drawdowns, and handling of opposite signals (ignore, close, or reverse).
This strategy is not financial advice; backtest thoroughly and use at your own risk. It requires data sources for Open Interest (OI) and Funding Rates, which are fetched via TradingView's security functions (e.g., from Binance for funding premiums).
Key Indicators
1. Normalized Open Interest (nOI)
Group: Open Interest
Purpose: Measures the relative level of open interest over a lookback window to identify overbought (high OI) or oversold (low OI) conditions, which can indicate potential exhaustion in trends.
Calculation:
Fetches OI data (close) from the symbol's standard ticker (e.g., "{symbol}_OI").
Normalizes OI within a user-defined window (default: 500 bars) using min-max scaling: (OI - min_OI) / (max_OI - min_OI) * 100.
Upper threshold (default: 70%): Signals potential short opportunities when crossed from above.
Lower threshold (default: 30%): Signals potential long opportunities when crossed from below.
Visualization: Plotted as a line (teal above upper, red below lower, gray in between). Horizontal lines at upper, mid (50%), lower, and a separator at 102%.
Notes: Handles non-crypto symbols by adjusting timeframe to daily if intraday. Errors if no OI data available.
2. Funding Rate
Group: Funding Rate
Purpose: Tracks the average funding rate (premium index) to detect market sentiment extremes. Positive funding suggests bull bias (longs pay shorts), negative suggests bear bias.
Calculation:
Fetches premium index data from Binance (e.g., "binance:{base}usdt_premium").
Supports lower timeframe aggregation (default: enabled, using 1-min TF) for smoother data.
Averages open and close premiums, clamps values, and scales/shifts for plotting (base: 150, scale: 1000x).
Upper threshold (default: 1.0%): Overheat for shorts.
Lower threshold (default: 1.0%): Overcool for longs.
Ultra level (default: 1.8%): Extreme for additional short signals.
Smoothing: Uses inverse weighted moving average (IWMA) or lower-TF aggregation to reduce noise.
Visualization: Shifted plot (green positive, red negative) with filled areas. Horizontal lines for overheat, overcool, base (0%), and ultra.
Notes: Custom ticker option for non-standard symbols.
3. Cumulative Volume Delta (CVD)
Group: CVD (Cumulative Volume Delta)
Purpose: Measures net buying/selling pressure via volume delta, normalized to identify divergences or confirmations with price.
Calculation:
Delta: +volume if close > open, -volume if close < open.
Cumulative: Rolling cumsum over a window (default: 500 bars), smoothed with EMA (default: 20).
Normalized: Scaled by absolute max in window (-1 to 1 range).
Scaled/shifted for plotting (base: 300 or 0 if anchored, scale: 120x).
Upper threshold (default: 1.0%): Over for shorts.
Lower threshold (default: 1.0%): Under for longs.
Visualization: Shifted plot (aqua positive, purple negative) with filled areas. Horizontal lines for over, under, and separator (default: 252).
Filter Options (for Signal A):
Enable filter (default: false).
Require sign match (Long ≥0, Short ≤0).
Require extreme zones.
Require momentum (rising/falling over N bars, default: 3).
Signal Logics for Entries
Entries are triggered by buy/sell signals from multiple systems (A, B, C, D), filtered by direction toggles and entry conditions.
Signal System A: OI + Funding (with optional CVD filter)
Enabled: Default true.
Sell (Short): nOI > upper threshold, falling over N bars (default: 3), delta ≥ threshold (default: 3%), funding > overheat, and CVD filter OK.
Buy (Long): nOI < lower threshold, rising over N bars (default: 3), delta ≥ threshold (default: 3%), funding < overcool, and CVD filter OK.
Signal System B: Short - Funding Crossunder + Filters
Enabled: Default true.
Sell (Short): Funding crosses under overheat level, optional: CVD > over, nOI < upper.
Signal System C: Short - Ultra Funding
Enabled: Default false.
Sell (Short): Funding crosses ultra level (up or down, both default true).
Signal System D: Long - Funding Crossover + Filters
Enabled: Default true.
Buy (Long): Funding crosses over overcool level, optional: CVD < under, nOI > lower.
Combined: Sell if A/B/C active; Buy if A/D active.
Entry Filters
Cooldown: Optional pause between entries (default: false, 3 bars).
Max Entries: Limit pyramiding (default: true, 6 max).
Entries only if both filters pass and direction allowed.
Opposite Signal Handling
Mode: Ignore (default), Reverse (close and enter opposite), or Close (exit only).
Processed before regular entries.
Position Management
Martingale (3 Steps):
Enabled per step (default: all true).
Triggers add-ons at loss levels (defaults: 5%, 8%, 11%) by adding % to position (default: 100% each).
Resets on position close.
Break Even:
Enabled (default: true).
Activates at profit threshold (default: 5%), sets SL better by offset (default: 0.1%).
Exit Systems
Multiple exits checked in sequence.
Exit 1: SL/TP
Enabled: Separate for long/short (default: true).
SL: % from avg price (defaults: 1% long/short).
TP: % from avg price (defaults: 2% long/short).
Exit 2: Funding
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: Funding > upper exit threshold (default: 0.8%).
Short Exit: Funding < lower exit threshold (default: 0.8%).
Exit 3: nOI
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: nOI > upper exit (default: 85%).
Short Exit: nOI < lower exit (default: 15%).
Exit 4: Global SL
Enabled: Default true.
Exit: If position loss ≥ % (default: 7%).
Exit 5: Break Even (integrated in position block)
Exit 6: Time Limit
Enabled: Separate for long/short (default: true).
Exit: After N bars in trade (defaults: 30 each).
Timer updates on add-ons if enabled (default: true).
Visual Elements
Buy/Sell Labels: Small labels ("BUY"/"SELL") on bars with signals, limited to last 30.
All indicators plotted on a separate pane (overlay=false).
Usage Notes
Backtesting: Adjust parameters based on asset/timeframe. Test on historical data.
Data Requirements: Works best on crypto perps with OI and funding data.
Risk Management: Incorporates SL/TP and global SL; monitor drawdowns with Martingale.
Customization: All thresholds, enables, and scales are inputs for fine-tuning.
Version: Pine Script v6.
For questions or improvements, contact the author. Happy trading!
NY VIX Channel Trend US Futures Day Trade StrategyNY VIX Channel Trend Strategy
Summary in one paragraph
Session anchored intraday strategy for index futures such as ES and NQ on one to fifteen minute charts. It acts only after the first configurable window of New York Regular Trading Hours and uses a VIX derived daily implied move to form a realistic channel from the session open. Originality comes from using a pure implied volatility yardstick as portable support and resistance, then committing in the direction of the first window close relative to the open. Add it to a clean chart and trade the simple visuals. For conservative alerts use on bar close.
Scope and intent
• Markets. Index futures ES and NQ
• Timeframes. One to thirty minutes
• Default demo. ES1 on five minutes
• Purpose. Provide a portable intraday yardstick for entries and exits without curve fitting
• Limits. This is a strategy. Orders are simulated on standard candles
Originality and usefulness
• Unique concept. A VIX only channel anchored at 09:30 New York plus a single window trend test
• Addresses. False urgency at session open and unrealistic bands from arbitrary multipliers
• Testability. Every input is visible and the channel is plotted so users can audit behavior
• Portable yardstick. Daily implied move equals VIX percent divided by square root of two hundred fifty two
• Protected status. None. Method and use are fully disclosed
Method overview in plain language
Take the daily VIX or VIX9D value, convert it to a daily fraction by dividing by square root of two hundred fifty two, then anchor a symmetric channel at the New York session open. Observe the first N minutes. If that window closes above the open the bias is long. If it closes below the open the bias is short. One trade per session. Exits occur at the channel boundary or at a bracket based on a user selected VIX factor. Positions are closed a set number of minutes before the session ends.
Base measures
Return basis. The daily implied move unit equals VIX percent divided by square root of two hundred fifty two and serves as the distance unit for targets and stops.
Components
• VIX Channel. Top, mid, bottom lines anchored at 09:30 New York. No extra multipliers
• Window Trend. Close of the first N minutes relative to the session open sets direction
• Risk Bracket. Take profit and stop loss equal to VIX unit times user factor
• Session Window. Uses the exchange time of the chart
Fusion rule
Minimum gates count equals one. The trade only arms after the window has elapsed and a direction exists. One entry per session.
Signal rule
• Long when the window close is above the session open and the window has completed
• Short when the window close is below the session open and the window has completed
• Exit on channel touch. Long exits at the top. Short exits at the bottom
• Flat thirty minutes before the session close or at the user setting
Inputs with guidance
Setup
• Use VIX9D. Width source. Typical true for fast tone or false for baseline
• Use daily OPEN. Toggle for sensitivity to overnight changes
Logic
• Window minutes. Five to one hundred twenty. Larger values delay entries and reduce whipsaw
• VIX factor for TP. Zero point five to two. Raising it widens the profit target
• VIX factor for SL. Zero point five to two. Raising it widens the stop
• Exit minutes before close. Fifteen to ninety. Raising it exits earlier
Properties visible in this publication
• Initial capital one hundred thousand USD
• Base currency USD
• request.security uses lookahead off
• Commission cash per contract two point five $ per each contract. Slippage one tick
• Default order size method FIXED with value one contract. Pyramiding zero. Process orders on close ON. Bar magnifier OFF. Recalculate after order is filled OFF. Calc on every tick ON
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Fills and slippage vary by venue. Shapes can move while a bar forms and settle on close. Strategy uses standard candles.
Honest limitations and failure modes
Economic releases and thin liquidity can break the channel. Very quiet regimes can reduce signal contrast. Session windows follow the exchange time of the chart. If both stop and target can be hit within one bar, assume stop first for conservative reading without bar magnifier.
Works best in liquid hours of New York RTH. Very large gaps and surprise news may exceed the implied channel. Always validate on the symbols you trade.
Entries and exits
• Entry logic. After the first window, go long if the window close is above the session open, go short if below
• Exit logic. Long exits at the channel top or at the take profit or stop. Short exits at the channel bottom or at the take profit or stop. Flat before session close by the configured minutes
• Risk model. Initial stop and target based on the VIX unit times user factors. No trail and no break even. No cooldown
• Tie handling. Treat as stop first for conservative interpretation
Position sizing
Fixed size one contract per trade. Target risk per trade should generally remain near one percent of account equity. Risk is based on the daily volatility value, the max loss from the tests for one year duration with 5min chart was 4%, while the avg loss was below <1% of the total capital.
If you have any questions please let me know. Thank you for coming by !
チャットGPTimport yfinance as yf
import pandas as pd
import requests
from bs4 import BeautifulSoup
# 株たんのスクリーニング結果URL（例：200日線以下）
url = "https://kabutan.jp/warning/?mode=3_1"
r = requests.get(url)
soup = BeautifulSoup(r.text, "html.parser")
# 銘柄コードと企業名を抽出
stocks =
for link in soup.select("td a "):
code = link .split('=')
name = link.text.strip()
if code.isdigit():
stocks.append({"code": code, "name": name})
results =
for stock in stocks : # ←テスト用に10銘柄まで
ticker = f"{stock }.T"
df = yf.download(ticker, period="1y", interval="1d")
# EMA200
df = df .ewm(span=200, adjust=False).mean()
below_ema200 = df .iloc < df .iloc
# 株たんの個別ページからPER・成長率を取得
stock_url = f"https://kabutan.jp/stock/?code={stock }"
res = requests.get(stock_url)
s = BeautifulSoup(res.text, "html.parser")
try:
per = s.find(text="PER").find_next("td").text
growth = s.find(text="売上高増減率").find_next("td").text
except:
per, growth = "N/A", "N/A"
results.append({
"銘柄コード": stock ,
"企業名": stock ,
"200EMA以下": below_ema200,
"PER": per,
"売上成長率": growth
})
# 結果をCSV出力
df_result = pd.DataFrame(results)
df_result.to_csv("割安EMA200以下銘柄.csv", index=False, encoding="utf-8-sig")
print(df_result)
XAUUSD Multi-Timeframe Supertrend Alert v2**Indicator Overview: XAUUSD Multi-Timeframe Supertrend Alert v2**
**Core Components:**
1. **Multi-Timeframe Supertrend System**
- Two Supertrend indicators (ST1 & ST2) with customizable timeframes
- ST1 typically set to Daily, ST2 to Weekly as main trend
- Visualized with distinct colors and background fills
2. **Customizable SMA**
- Adjustable period and timeframe
- Plotted as blue line for additional trend reference
3. **Neutral Zone System**
- Creates a neutral line offset from ST1 by customizable tick distance
- Yellow dashed line that adjusts based on ST1 trend direction
- **Alert Conditions:**
- **Test Buy Zone**: Both ST1 & ST2 in uptrend AND price enters neutral zone above ST1
- **Test Sell Zone**: Both ST1 & ST2 in downtrend AND price enters neutral zone below ST1
4. **Distance Lines from ST2**
- Upper/lower lines at customizable tick distance from ST2
- Purple dashed lines with touch alerts
**Trading Signals:**
- **Bullish Signal**: Price above ST2 but below ST1 (potential buy)
- **Bearish Signal**: Price below ST2 but above ST1 (potential sell)
- **Neutral Zone Alerts**: Price enters defined zone when both trends align
- **Line Touch Alerts**: Price touches distance lines from ST2
**Alert System:**
- Limited to 3 consecutive alerts per signal type
- Visual markers (triangles, diamonds, circles)
- Background coloring for signal zones
- Separate alert conditions for each signal type
**Visual Features:**
- Candles colored green/red based on signals
- Clear trend visualization with colored backgrounds
- Real-time alert markers without information table clutter
This indicator provides multi-timeframe trend analysis with precise entry zone detection and comprehensive alert system for XAUUSD trading. SAM89 M15, ST1 (5:10) M5, ST2 ( 1,5:20) H1, Test Buy Sell 7000, Line 15000
Dual Table Dashboard - Correct V3add RSI Data## 📈 Trading Applications
### 1. Trend Following Strategy
```
1. Check TABLE 1 for trend direction (AnEMA29 + PDMDR)
2. If both green → Look for longs
3. If both red → Look for shorts
4. Use TABLE 2 for entry levels
```
### 2. Support/Resistance Strategy
```
@70 levels = Resistance (sell/take profit zones)
@50 levels = Pivot (breakout levels)
@30 levels = Support (buy/accumulation zones)
```
### 3. Multi-Timeframe Alignment
```
W_RSI → Weekly bias (long-term)
D_RSI → Daily bias (medium-term)
Sto50 → Current position (swing)
Sto12 → Immediate position (day trade)
RSI(7) & RSI(3) → Entry timing (scalp)
```
### 4. Color Scanning Method
**Quick visual analysis:**
- Count greens vs reds in each row
- More greens = Bullish position
- More reds = Bearish position
- Mixed colors = Transitioning/choppy
---
## ✅ Verification & Accuracy
### Tested Against AmiBroker:
- ✅ RSI band values match within ±0.01%
- ✅ Stochastic channels match exactly
- ✅ Color logic matches exactly
- ✅ All formulas verified line-by-line
### Known Minor Differences:
Small variations (<1%) may occur due to:
1. **Platform calculation precision** - Different floating-point engines
2. **Historical data feeds** - Slight variations in past prices
3. **Weekly bar boundaries** - TradingView vs AmiBroker week definitions
4. **Initialization period** - First N bars need to "warm up"
**These minor differences don't affect trading signals!**
---
## ⚙️ Settings & Customization
### Input Parameters:
```pine
emaLen = 29 // EMA Length for angle calculation
rangePeriods = 30 // Angle normalization lookback
rangeConst = 25 // Angle normalization constant
dmiLen = 14 // DMI/ADX Length for PDMDR
```
### Available Positions:
Can be changed in the code:
- `position.top_left`
- `position.top_center`
- `position.top_right`
- `position.middle_left` (Table 2 default)
- `position.middle_center`
- `position.middle_right`
- `position.bottom_left` (Table 1 default)
- `position.bottom_center`
- `position.bottom_right`
### Text Sizes:
- `size.tiny`
- `size.small` (current default)
- `size.normal`
- `size.large`
- `size.huge`
---
## 🎯 Best Practices
### DO:
✅ Use multiple confirmations before entering trades
✅ Combine with price action and chart patterns
✅ Pay attention to color changes across timeframes
✅ Use @50 levels as key pivot points
✅ Watch for alignment between W_RSI and D_RSI
### DON'T:
❌ Trade based on color alone without confirmation
❌ Ignore the overall trend (Table 1)
❌ Enter trades against strong trend signals
❌ Overtrade when colors are mixed/choppy
❌ Ignore risk management rules
---
## 📊 Example Reading
### Bullish Setup:
```
TABLE 1:
AnEMA29: Green (15°) across all 3 bars
PDMDR: Green (1.65) and rising
TABLE 2:
W_RSI@50: Green (price above)
D_RSI@50: Green (price above)
Sto50@50: Green (price above midpoint)
Sto12@50: Green (price above midpoint)
Interpretation: Strong bullish trend confirmed across multiple timeframes
Action: Look for long entries on pullbacks to @50 or @30 levels
```
### Bearish Setup:
```
TABLE 1:
AnEMA29: Red (-12°) across all 3 bars
PDMDR: Red (0.45) and falling
TABLE 2:
W_RSI@50: Red (price below)
D_RSI@50: Red (price below)
Sto50@50: Red (price below midpoint)
Interpretation: Strong bearish trend confirmed
Action: Look for short entries on rallies to @50 or @70 levels
```
### Reversal Signal:
```
TABLE 1:
-2D: Red, -1D: Yellow, 0D: Green (momentum shifting)
TABLE 2:
Price just crossed above multiple @50 levels
Colors changing from red to green
Interpretation: Potential trend reversal in progress
Action: Wait for confirmation, consider early long entry with tight stop
```
---
## 🔍 Troubleshooting
### "Values don't match AmiBroker exactly"
- Check you're on the same timeframe
- Verify the symbol is identical
- Compare historical data (last 20 closes)
- Small differences (<1%) are normal
### "Tables are overlapping"
- Adjust positions in code
- Use different combinations (top/middle/bottom with left/center/right)
### "Colors seem wrong"
- Verify current close price
- Check if you're comparing same bar
- Ensure both platforms use same session times
### "Script takes too long"
- Use on Daily or higher timeframes
- The RSI band calculation is computationally intensive
- Don't run on tick-by-tick data
---
## 📝 Version History
**v3.0 (Final)** - Current version
- RSI band calculation verified correct
- Tables positioned bottom-left and middle-left
- All values match AmiBroker
- Production ready ✅
**v2.0**
- Fixed RSI band algorithm order (calculate before updating P/N)
- Improved variable scope handling
**v1.0**
- Initial implementation
- Had incorrect RSI band calculation
---
## 📄 Files in Package
ADR + MOVE BoxADR + Move 20 day average Box for any ticker. Calculates the average daily range as well as the absolute delta from open to close. For Full day as well as NY session only
Earnings Day - Price Predictor [DunesIsland]It's designed to analyze and visualize historical stock price movements on earnings report days, focusing on percentage changes.
Here's a breakdown of what it does, step by step:
Key Inputs and Setup
User Input: There's a single input for "Lookback Years" (default: 10), which determines how far back in time (approximately) the indicator analyzes earnings data. It uses a rough calculation of milliseconds in that period to filter historical data.
Data Fetching: It uses TradingView's request.earnings function to pull actual earnings per share (EPS) data for the current ticker. Earnings days are identified where EPS data exists on a bar but not on the previous one (to avoid duplicates).
Price Change Calculation: For each detected earnings day, it computes the percentage price movement as (close - close ) / close * 100, representing the change from the previous close to the current close on that day.
Processing and Calculations (on the Last Bar)
Lookback Filter: It calculates a cutoff timestamp for the lookback period and processes only earnings events within that window.
Overall Averages:
Separates positive (≥0%) and negative (<0%) percentage changes.
Seasonality (Next Quarter Prediction):
Identifies the most recent earnings quarter (latest_q).
Predicts the "next" quarter (e.g., if latest is Q4, next is Q1;
Again, separates positive and negative changes, computing their respective averages.
Visual Outputs
Lookback: How far to fetch the data in years.
Average Change (Green): Showing the average of all positive changes.
Average Change (Red): Showing the average of all negative changes.
Seasonality Change (Green): Showing the average of positive changes for the predicted next quarter.
Seasonality Change (Red): Showing the average of negative changes for the predicted next quarter.
Purpose and Usage
This indicator helps traders assess a stock's historical reaction to earnings announcements. The overall averages give a broad sense of typical gains/losses, while the seasonality focuses on quarter-specific trends to "predict" potential movement for the upcoming earnings (based on past same-quarter performance). It's best used on daily charts for stocks with reliable earnings data. Note that quarter inference is calendar-based and may not perfectly match fiscal calendars for all companies—it's an approximation.
CHAN CRYPTO RS🩷 ATR RS (Crypto / High-based 2.1x, Decimal Safe v2)
This indicator is designed for crypto position sizing and stop calculation using ATR-based risk management. It helps traders automatically determine the stop price, per-unit risk, and optimal position size based on a fixed risk amount in USDT.
🔧 Core Logic
ATR Length (Daily RMA) — calculates the daily Average True Range (ATR) using RMA smoothing.
ATR Multiplier (2.1× default) — defines how far the stop is placed from the daily high.
Stop Price (for Longs) = Daily High − ATR × Multiplier
Per-Unit Risk = (Entry − Stop) × Point Value
Position Size = Risk Amount ÷ Per-Unit Risk
Automatically handles decimal precision for micro-priced crypto assets (e.g., PEPE, SHIB).
Includes safeguards for minimum size and maximum position caps.
💡 Features
Uses Daily ATR without lookahead (no repainting).
Dynamically switches between current and previous ATR for stable results when the daily bar isn’t yet confirmed.
“Snap to tick” ensures stop prices align with the symbol’s tick size.
Table display summarizes ATR, stop price, per-unit risk, total risk, size, and bet amount.
Optional stop label on the chart for visual clarity.
🧮 Output Table
Metric Description
ATR(10) Daily RMA-based ATR
ATR used Chosen ATR (current or previous)
Stop Calculated stop price
Per-unit Risk per coin/unit
Risk Total risk in USDT
Size Optimal position size
Bet Total position value (Entry × Size)
🧠 Ideal For
Crypto traders who use fixed-risk ATR strategies and need precise, decimal-safe position sizing even for ultra-low-priced tokens.
Swing High/Low ExtensionsSwing High/Low — Extensions (2 Plots + Drawings + Touch Signal)
What it does
This indicator finds Swing Highs/Lows using a symmetric length (same bars left & right), then creates horizontal extension levels that run to the right and stop at the first price touch (“extend until future intersection”).
It outputs:
Two plots showing the most recent active High/Low extension (great for alerts & strategy logic).
Line drawings for every detected swing (historical levels stay on the chart and end at the touch bar).
A hidden TouchSignal used to color bars and trigger alerts without distorting the price scale.
The design mirrors Sierra Chart’s “Swing High and Low” with “Extend Swings Until Future Intersection”, but implemented natively in Pine.
How it determines swings
Uses ta.pivothigh() / ta.pivotlow() with length bars left and right.
A swing is confirmed only after there are length bars to the right of the center.
How extensions/lines end
High extensions end when High ≥ level.
Low extensions end when Low ≤ level.
The corresponding line drawing is frozen on the touch bar; the most recent active line continues to extend each new bar.
Inputs
Swing Strength (Bars Left = Right) – symmetric pivot length.
Offset as Percentage – 1 = +1%; positive values push levels outward (High up / Low down), negative pull them inward.
Draw “Extend…Until Future Intersection” Lines – toggle line drawings on/off.
Line Width (Plots + Drawings) – thickness for plots and drawings.
HighExt Color / LowExt Color – colors for the two plots and drawings.
Touch Color – color to paint bars on the touch bar (doesn’t affect scale).
HighExt/LowExt Line Style – choose line style (Solid/Dashed/Dotted) for drawings.
Color Bars on Touch? – enable/disable bar coloring.
Bar Color on High Touch / Low Touch – separate bar colors for each side.
Bar Color Transparency (0..100) – opacity for the bar painting.
Plots
HighExt – latest active high extension only.
LowExt – latest active low extension only.
(Internally there is also a hidden “TouchSignal” plot used for bar coloring & alerts; it’s not displayed to keep the chart scale clean.)
Alerts
Three built-in alertconditions:
Any Extension Touched — triggers when either side is hit.
High Extension Touched — only high level touch.
Low Extension Touched — only low level touch.
Create alerts from the indicator’s “More” (⋯) menu → Add alert → choose one of the conditions.
Styling
Drawings use your selected style (Solid/Dashed/Dotted), color, and width.
Existing historical lines adopt new styles when the script recalculates.
Bar coloring highlights the exact touch candle; disable it if you prefer clean candles.
Notes & tips
Scale-safe: the TouchSignal is hidden (display=none), so it won’t distort the Y-axis.
Performance: TradingView limits scripts to ~500 line objects; this script uses max_lines_count=500. If you hit the cap on long histories, either increase timeframe or disable drawings and rely on the two plots + alerts.
Works on any symbol/timeframe; levels are rounded to the instrument’s minimum tick.
Intended use
For discretionary levels, alerting, and rule-based entries that react to first touch of recent swing extensions. Not financial advice—use at your own risk.
Institutional Orderflow Pro — VWAP, Delta, and Liquidity
Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time.
Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting.
The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies.
The indicator combines multiple institutional-grade analytics into one framework:
RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation.
zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior.
CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow.
VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat.
PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones.
ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse.
Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT.
All metrics are displayed through a color-coded, non-repainting HUD:
🟢 = bullish / favorable conditions
🔴 = bearish / weak conditions
⚫ = neutral / flat
🟡 = absorption (potential trap zone)
🟠 = exhaustion (momentum fading)
| Metric | Signal | Meaning |
| ---------------------- | ------- | ---------------------------------------------- |
| **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone |
| **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression |
| **CVDΔ > 0** | 🟢 | Buyers dominate this bar |
| **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short |
| **Slope ok = YES** | 🟢 | Trending market |
| **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones |
| **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment |
| **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone |
How to Use
Confirm Volume Context → RVOL > 1.2
Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN.
Check Slope and VWAP Dir → Ensure trending context (Slope = YES).
Confirm CVD and zΔ → Flow should agree with price direction.
Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players.
Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels.
This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups.
Originality
This script was written from scratch in Pine v6.
It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.).
The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays.
The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots.
Notes & Disclaimers
This indicator does not repaint.
It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system.
Works best on liquid instruments (Futures, Indices, FX majors).
Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings.
Open-source, modifiable, and compatible with Pine v6.
Recommended Use
Apply it with clean charts and standard candles for the best clarity.
Use alongside a basic structure or volume profile to contextualize institutional bias zones.
Author: Dhawal Ranka
Category - Orderflow / VWAP / Institutional Analysis
Version: Pine Script™ v6
License: Open Source (Educational Use)
Total Points Range by exp3rtsThis indicator measures and displays the true intraday movement of a market by approximating tick-level activity using 1-second data aggregation. Instead of only looking at net candle movement, it sums every price change during a session, giving traders a more accurate picture of market effort and volatility.
Total Points Moved (TPM) – Captures the full distance traveled by price, not just the net gain/loss.
Bullish vs. Bearish Movement – Separates upward and downward moves so you can see who dominated the session.
Custom Sessions – Define your own session start/end times and time zone for precise tracking.
End-of-Session Summary – Automatically plots a label at session completion with totals for TPM, bullish, and bearish movement.
Visual Session Highlighting – Background shading makes it easy to see when the chosen session is active.
This tool is useful for:
Understanding the true effort vs. result of price movement
Comparing volatility across sessions
Identifying whether bulls or bears contributed more to market swings
Supporting order flow and tick-based trading strategies
Market Mode Risk IndicatorMarket Mode Risk Indicator v1.1
This custom indicator helps traders gauge market risk sentiment by monitoring Exponential Moving Average (EMA) or Simple Moving Average (SMA) crossovers on key indices like BIST 100 (for Turkish markets), NASDAQ Composite (tech-focused US), or Dow Jones Industrial Average (industrial US). It dynamically categorizes the market into three actionable modes based on the index's position relative to layered MAs, providing a quick visual snapshot without cluttering your chart.
Risk Modes Explained:
RISK OFF (Red): Index closes below the Long MA (default 50 periods) – signals bearish caution; time to tighten stops or reduce exposure.
RISK TEST (Orange): Index above Medium MA1 (21 periods) and Extra Long MA (55 periods), but below Short MA (10 periods) and above Long MA – a transitional "test" phase; watch for confirmation before entering.
RISK ON (Green): Index above all MAs (Short, Medium, Long, Extra Long) – bullish green light; favorable for longs or momentum plays.
How It Works:
The core logic uses boolean checks on the index's close price against user-defined MA lengths. For example:
It pulls live data from your selected index via request.security.
Computes MAs with ternary operators for EMA (ta.ema) or SMA (ta.sma) based on your choice.
Mode detection relies on AND/OR conditions (e.g., aboveShort and aboveMed1 and aboveLong and aboveExtraLong for RISK ON) to filter noise and focus on meaningful shifts.
No lookahead bias – all calculations are historical and real-time compatible. Defaults (10/21/50/55) are inspired by common Fibonacci-inspired periods for balanced sensitivity.
Alerts fire only on mode transitions (e.g., from RISK OFF to ON) to prevent spam, using alertcondition with dynamic messages including price and ticker.
Customization Options:
Index & MA Settings: Switch EMA/SMA; tweak lengths (min 1 period) for your timeframe (e.g., shorter for intraday).
Display: Position the table (top/bottom, left/right); toggle MA values on/off.
Looks: Background/border/text colors, transparency (0-100%) for theme matching.
Built in Pine Script v5 for efficiency – lightweight, no repaints.
Usage Tips:
Add to any stock chart (e.g., GARAN for BIST analysis).
Select your index in settings; refresh chart if switching MA type.
Use on daily/4H timeframes for swing trading; alerts via email/SMS for hands-free monitoring.
Pro Tip: Combine with volume or RSI for confirmation – RISK ON + rising volume = stronger buy signal.
Howard Intraday Edge (JH Edge) - (VWAP + EMA9/EMA21 + RSI)Howard Intraday Edge (JH Edge)
A disciplined intraday trading system by J. Howard.
Uses VWAP, EMA 9/21, RSI, and Optional EMA 200 to confirm trends and momentum.
Automatically plots Clean stop-loss and take profit levels. Built for SPY 0DTE-5DTE options, but works on other liquid tickers.
Focus: 1-3 high probability trades/day with tight risk control.
Best used on 1 or 3 minute timeframes.
ATR SPREADThis is a comprehensive ATR SPREAD indicator for TradingView that combines volatility monitoring with spread analysis. Here's what it does and why it's useful:
Core Functionality
ATR Progress Tracking:
Monitors how much of the daily ATR (Average True Range) has been "consumed" during the current trading day
Calculates progress from two reference points: day's open and previous day's close
Displays progress as percentages or absolute values
Provides color-coded visual feedback (green → yellow → orange → red) based on ATR consumption levels
Spread Monitoring with Advanced Filtering:
Tracks current market spreads using multiple methods (minute high-low ranges, tick-to-tick differences)
Calculates rolling average spread to establish baseline conditions
Implements sophisticated filtering to exclude anomalous spread readings that could skew analysis
Key Features
Smart Filtering System:
Automatically filters out abnormal spreads during session opens
Excludes spreads that are too large relative to price or ATR
Removes outliers that exceed normal spread multiples
Maintains data quality for accurate analysis
Multi-Level Alert System:
ATR threshold alerts (50%, 80%, 100% consumption)
Customizable warning threshold (default 70%)
Spread expansion warnings and alerts
Session start notifications
Professional Dashboard:
Customizable information panel showing real-time metrics
Multiple positioning options and visual themes
Displays ATR status, progress percentages, current/average spreads
Color-coded status indicators for quick assessment
Trading Applications
Risk Management:
Helps traders understand how much daily volatility has been used up
Assists in position sizing based on remaining expected movement
Identifies periods of unusual market conditions
Market Condition Assessment:
Monitors liquidity conditions through spread analysis
Detects when spreads widen beyond normal levels
Filters out unreliable data during volatile periods
Entry/Exit Timing:
High ATR consumption may suggest limited further movement
Low ATR consumption early in the day might indicate potential for larger moves
Spread conditions help assess execution quality expectations
This indicator is particularly valuable for intraday traders, scalpers, and anyone who needs to monitor market microstructure conditions alongside volatility metrics. It provides a comprehensive view of both price movement potential (ATR) and execution environment quality (spreads) in a single, professional-grade tool.
Signal Core Basic [NevoxCore]⯁ OVERVIEW
Signal Core Basic is a clean and functional ATR-based trailing stop with BUY/SELL signals.
It modernizes the classic "UT-style" concept with adaptive sensitivity, multi-source inputs (Close, Heikin-Ashi, ZLEMA, KAMA), and compact visuals.
The tool is designed for traders who want a clear, minimal, and reliable base indicator without repainting issues.
⯁ HOW IT WORKS
Calculates an ATR-based trailing stop (nLoss = Key × ATR).
Adaptive mode scales sensitivity depending on trend strength (trend/range detection).
Trailing stop flips when price crosses from one regime to the other.
BUY/SELL signals trigger only when confirmed and not blocked by cooldown.
Label ring-buffer ensures chart stays clean (max 50 labels).
Bar coloring optional (solid), auto-disabled when classic red/green colors are enabled.
⯁ KEY FEATURES
ATR-based trailing stop with adjustable sensitivity.
Adaptive key (trend/range aware).
Multiple compute sources: Close, Heikin-Ashi, ZLEMA, KAMA.
Global confirm-on-close switch (no repaint).
Early-flip protection (cooldown).
Compact BUY/SELL labels with auto-cleanup (max 50).
Optional solid bar coloring.
Alerts with ticker, timeframe, and price included.
⯁ SETTINGS (quick overview)
Visual: Classic Colors, Show Labels, Plot Trailing Stop, Barcolor ON/OFF.
Source & Sensitivity: Key Value, ATR Length, Compute Source.
Advanced: Adaptive Key toggle with min/max bounds.
Global: Confirm on bar close.
Extras: Cooldown protection (bars).
⯁ ALERTS (built-in)
Basic Long: BUY signal.
Basic Short: SELL signal.
Each alert includes {{ticker}} {{interval}} @ {{close}}.
⯁ HOW TO USE
Use as a trailing stop and regime filter.
Combine BUY/SELL signals with your strategy rules.
Enable cooldown for cleaner signals in choppy markets.
Try ZLEMA or Heikin-Ashi as compute source for smoother performance.
⯁ WHY IT’S DIFFERENT
Unlike generic UT-style scripts, Signal Core Basic adds adaptive sensitivity, multiple input sources, and strict non-repaint safety.
The visuals follow NevoxCore’s design standards: compact, minimal, and clean — ready for live trading with alerts.
⯁ DISCLAIMER
Backtest and paper-trade before using live. Not financial advice.
Performance depends on market, timeframe, and parameters.
RSI DivergenceStrat WCredit to faytterro. Buy when RSI is staying flat or going up while the ticker price is going down. Sell when RSI is staying flat or going down while the ticker price is going up.
StratNinjaTable - VerticalA Pine Script v6 indicator that displays a vertical table with key The Strat data and supporting metrics.
✦ Table Structure:
Overview:
Ticker – the stock symbol.
TF – the chart’s main timeframe.
MFI – Money Flow Index with selectable timeframe.
ATR – Average True Range with color coding:
Green – below 3%.
Yellow – between 3% and 6%.
Red – above 6%.
Timeframes:
Displayed vertically (5m, 15m, 1H, D, W, M, etc.).
Each shows the current bar type according to The Strat (1, 2U, 2D, 3).
Text color reflects candle direction (green = close above open, red = close below open).
Includes a countdown timer to bar close.
Fundamentals:
Market Cap – in billions.
Sector – stock sector.
SMA20 Δ – distance from the 20-period SMA (in %).
Avg Volume (30d) – average 30-day volume (in millions).
✦ Adjustments Made:
Removed the Strat Pattern section completely.
Removed the DIR column – direction is now represented by Strat cell text color.
Reordered Overview section: Ticker → TF → MFI → ATR.
ATR now has three levels of coloring (Green/Yellow/Red) for >3% and >6%
Best MA Finder: Sharpe/Sortino ScannerThis script, Best MA Finder: Sharpe/Sortino Scanner, is a tool designed to identify the moving average (SMA or EMA) that best acts as a dynamic trend threshold on a chart, based on risk-adjusted historical performance. It scans a wide range of MA lengths (SMA or EMA) and selects the one whose simple price vs MA crossover delivered the strongest results using either the Sharpe ratio or the Sortino ratio. Reading it is intuitive: when price spent time above the selected MA, conditions were on average more favorable in the backtest; below, less favorable. It is a trend and risk gauge, not an overbought or oversold signal.
What it does:
- Runs individual long-only crossover backtests for many MA lengths across short to very long horizons.
- For each length, measures the total number of trades, the annualized Sharpe ratio, and the annualized Sortino ratio.
- Uses the chosen metric value (Sharpe or Sortino) as the score to rank candidates.
- Applies a minimum trade filter to discard statistically weak results.
- Optionally applies a local stability filter to prefer a length that also outperforms its close neighbors by at least a small margin.
- Selects the optimal MA and displays it on the chart with a concise summary table.
How to use it:
- Choose MA type: SMA or EMA.
- Choose the metric: Sharpe or Sortino.
- Set the minimum trade count to filter out weak samples.
- Select the risk-free mode:
Auto: uses a short-term risk-free rate for USD-priced symbols when available.
Manual: you provide a risk-free ticker.
None: no risk-free rate.
- Optionally enable stability controls: neighbor radius and epsilon.
- Toggle the on-chart summary table as needed.
On-chart output:
- The selected optimal MA is plotted.
- The optional table shows MA length, number of trades, chosen metric value annualized, and the annual risk-free rate used.
Key features:
- Risk-adjusted optimization via Sharpe or Sortino for fair, comparable assessment.
- Broad MA scan with SMA and EMA support.
- Optional stability filter to avoid one-off spikes.
- Clear and auditable presentation directly on the chart.
Use cases:
- Traders who want a defensible, data-driven trend threshold without manual trial and error.
- Swing and trend-following workflows across timeframes and asset classes.
- Quick SMA vs EMA comparisons using risk-adjusted results.
Limitations:
- Not a full trading strategy with position sizing, costs, funding, slippage, or stops.
- Long-only, one position at a time.
- Discrete set of MA lengths, not a continuous optimizer.
- Requires sufficient price history and, if used, a reliable risk-free series.
This script is open-source and built from original logic. It does not replicate closed-source scripts or reuse significant external components.
Mystic Pulse V2.0 [CHE] Mystic Pulse V2.0 — Adaptive DI streaks with gradient intensity for clearer trend persistence
Summary
Mystic Pulse V2.0 measures directional persistence by counting how often the positive or negative directional index strengthens and dominates. These counts drive gradient colors for bars, wicks, and helper plots, so intensity reflects local momentum rather than absolute values. A windowed normalization and gamma control adapt the visuals to recent conditions, preventing one regime from overpowering the next. The result is an immediate, at-a-glance read of trend direction and stamina without relying on crossovers alone.
Motivation: Why this design?
Classical DI and ADX signals can flip during choppy phases or feel sluggish in calm regimes. This script focuses on persistence: it increments a positive or negative streak only when the corresponding directional pressure both strengthens compared with the prior bar and dominates the other side. Simple OHLC pre-smoothing reduces micro-noise, and local normalization keeps the scale relevant to the last segment of data, not a distant past.
What’s different vs. standard approaches?
Reference baseline: Traditional DI and ADX lines with crossovers and fixed-scale thresholds.
Architecture differences:
Wilder-style recursive smoothing on true range and directional movement.
Streak counters for positive and negative pressure that advance only on strengthening and dominance.
Windowed normalization and gamma shaping for visual intensity.
Wick coloring via `plotcandle` with forced overlay from a pane indicator.
Practical effect: Bars and wicks grow more vivid during sustained pressure and fade during indecision. The column plots show streak depth directly, which helps filter one-bar flips.
How it works (technical)
1. Pre-smoothing: Open, high, low, and close are averaged over a short simple moving window to dampen micro-ticks.
2. Directional inputs: True range and directional movement are formed from the smoothed prices, then recursively smoothed using a Wilder-style update that carries prior state forward.
3. DI comparison: The script derives positive and negative directional ratios relative to smoothed range. A side advances its streak when it increases compared with the previous bar and exceeds the opposite side. The other streak resets.
4. Trend score and color base: The difference between positive and negative streaks defines the active side.
5. Normalization and gamma: The absolute streak magnitude and each side’s streak are normalized within a rolling window. Gamma parameters reshape intensity so mid-range values are either compressed or emphasized.
6. Rendering:
Two column plots show positive and negative streak counts in the pane with gradient colors.
A square marker at the bottom uses the global gradient as a compact heat cue.
Bar colors on the main chart use either the gradient, neutral trend colors, or no paint depending on toggles.
Wick, border, and candle overlays are colored via `plotcandle` with forced overlay.
7. State handling: Smoothed values and counters persist across bars; initialization uses first available values without lookahead. No higher-timeframe requests are used, so repaint risk is limited to normal live-bar evolution.
Parameter Guide
Show neutral candles (fallback) — Paints main-chart bars in plain up or down colors when gradients are disabled — Default false — Use when you prefer simple up/down coloring.
Show last N shapes — Limits bottom square markers — Default 333 — Reduce if your chart gets cluttered.
ADX smoothing length — Controls the Wilder smoothing window for range and directional movement — Default 9 — Larger values increase stability but respond later.
OHLC SMA length — Pre-smoothing for inputs — Default 1 — Increase slightly on noisy assets to reduce flip risk.
Gradient barcolor — Enables gradient bar paint on the main chart — Default true — Turn off to use wicks only or neutral bars.
Wick coloring — Colors wicks, borders, and bodies via overlay — Default true — Disable if it conflicts with other overlays.
Gradient window — Lookback for local normalization — Default 100 — Shorter windows adapt faster; longer windows provide steadier intensity.
Gradient transparency — Overall transparency for gradient paints — Default 0 — Increase to make gradients subtler.
Gamma bars/shapes — Contrast for bar and shape intensity — Default 0.70 — Lower values brighten mid-tones; higher values compress them.
Gamma plots — Contrast for the column plots — Default 0.80 — Tune separately from bar intensity.
Wick transparency — Transparency for wick coloring — Default 0 — Raise to let price action show through.
Up/Down colors (dark and neon) — Base and accent colors for both directions — Defaults as provided — Adjust to match your chart theme.
Reading & Interpretation
Pane columns: The green column represents the positive streak count; the red column represents the negative streak count. Taller columns signal stronger persistence.
Gradient marker: The bottom square indicates the active side and persistence strength at a glance.
Main-chart bars and wicks: Color direction shows the dominant side; intensity reflects the normalized and gamma-shaped streak magnitude. Faded tones suggest weak or fading pressure.
Practical Workflows & Combinations
Trend following: Enter in the direction of the active side when the corresponding column expands over several bars. Confirm with structure such as higher highs and higher lows or lower highs and lower lows.
Exits and stops: Consider scaling out when intensity fades toward mid-range while structure stalls. Tighten stops after extended streaks or when wicks lose intensity.
Multi-asset/Multi-TF: Use defaults for liquid assets on intraday to swing timeframes. For highly volatile instruments, raise smoothing and the normalization window. For calm markets, lower them to regain sensitivity.
Behavior, Constraints & Performance
Repaint/confirmation: Values update during the live bar and stabilize after bar close. No historical repaint beyond normal live-bar updates.
security()/HTF: Not used; cross-timeframe repaint paths do not apply.
Resources: Declared `max_bars_back` two thousand; no explicit loops or arrays; plot and label limits are generous.
Known limits: Streak counters can remain elevated during slow reversals. Very short normalization windows can cause rapid intensity swings. Gaps or extreme spikes may temporarily distort intensity until the window adapts.
Sensible Defaults & Quick Tuning
Start with: ADX smoothing nine, OHLC SMA one, normalization window one hundred, gradient and wick coloring enabled, gamma around zero point seven to zero point eight.
Too many flips: Increase ADX smoothing and the normalization window; consider a small bump in OHLC SMA.
Too sluggish: Decrease ADX smoothing and the normalization window.
Colors overpower chart: Increase gradient and wick transparency or raise gamma to compress mid-tones.
What this indicator is—and isn’t
This is a visualization and signal layer that represents directional persistence and intensity. It does not issue trade entries or exits on its own and is not predictive. Use it alongside market structure, volume, and risk controls.
Disclaimer
The content, including any code, is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves substantial risk, including the possible loss of principal. Past performance is not indicative of future results. Always do your own research and consider consulting a qualified professional.
Clean MA + Signals (overlay)//@version=5
indicator("Clean MA + Signals (overlay)", overlay=true)
// Inputs
maLen = input.int(50, "MA Length", minval=1)
maType = input.string("EMA", "MA Type", options= )
// MA
maCalc(src, len, typ) =>
switch typ
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"RMA" => ta.rma(src, len)
"WMA" => ta.wma(src, len)
maLine = maCalc(close, maLen, maType)
plot(maLine, "MA", color=color.new(color.teal, 0), linewidth=2)
// Siqnallar — yalnız kəsişmə anında
longCond = ta.crossover(close, maLine)
shortCond = ta.crossunder(close, maLine)
plotshape(longCond, "LONG", location=location.belowbar, style=shape.triangleup, color=color.lime, size=size.small, text="LONG")
plotshape(shortCond, "SHORT", location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small, text="SHORT")
alertcondition(longCond, "LONG Signal", "LONG signal on {{ticker}} {{interval}}")
alertcondition(shortCond, "SHORT Signal", "SHORT signal on {{ticker}} {{interval}}")
Crypto Market Dominance Stacked with LabelsA professional stacked area chart showing the dominance of major crypto market segments: BTC, ETH, Top 100 Altcoins, and #101+ Altcoins. Each layer is color-coded for clarity and includes dynamic labels with the current dominance percentage. Provides a clear visual representation of market share trends for traders, analysts, and crypto enthusiasts.
Features:
Stacked visualization of BTC, ETH, Top 100, and small-cap altcoins (#101+).
Color-coded areas for easy identification.
Dynamic labels showing each category’s current dominance percentage.
Horizontal reference lines for percentage levels.
Approximates top 100 and #101+ altcoins using TOTAL2 and TOTAL3 market cap tickers.
Use Case:
Track how market share shifts between BTC, ETH, large altcoins, and smaller altcoins over time. Ideal for analyzing trends, spotting dominance changes, and visualizing overall crypto market structure.
