Ichimoku Cloud w/SelIchimoku Cloud with selection for:
Regular:
conversionPeriods = 9,
basePeriods = 26
laggingSpan2Periods = 52,
displacement = 26
Crypto:
conversionPeriods = 10,
basePeriods = 30,
laggingSpan2Periods = 60,
displacement = 30
Crypto Doubled:
conversionPeriods = 20,
basePeriods = 60,
laggingSpan2Periods = 120,
displacement = 30
Search in scripts for "市值60亿的股票"
3 Linear Regression CurveFast 3LRC - 15/30/60 standard settings - 15/30 give a lot of noise, but give you a some time to prepare for the 60 to flip
DEMA Double Exponential Moving Average Strategy@Moneros 2017
Based on The DEMA is a fast-acting moving average that is more responsive to market changes than a traditional moving average
en.wikipedia.org
!!!! IN ORDER TO AVOID REPAITING ISSUES !!!!
!!!! DO NOT VIEW IN LOWER RESOLUTIONS THAN res/2 PARAMETER !!!!
for example res = 120 view >= 60m res = 60 view >= 30m
the length of the DEMA sampling shouldn't be longer than a candle
Best profits tested on BTCUSD
res = 105 slowPeriod = 2 fastPeriod = 32
res = 125 slowPeriod = 3 fastPeriod = 21
res = 120 slowPeriod = 2 fastPeriod = 32
res = 130 slowPeriod = 1 fastPeriod = 24
res = 40 slowPeriod = 4 fastPeriod = 93
res = 60 slowPeriod = 1 fastPeriod = 67
BTCUSD
RSI in Bull and Bear Market V2.0RSI oversold at 60/40 in bullish market
And Overbought at 40/60 in Bearish market
for more info of this Strategy
WaveTrend [MastroFran]Great indicator to show short term price movements. 5 day moving average oscillator. When green crosses red and under the 60 mark, buy with caution. when over the 60 mark and red crosses green sell immediately for highest profits.
Hersheys CoCo VolumeCoCo Volume shows you volume movement of your symbol after subtracting the movement from another symbol, preferrably the sector or market the stock belongs to.
My latest update to my CoCoVolume Indicator. It calculates today's volume percent over the 60 period average for both your symbol and index, and displays that difference. If the percent is over the max it highlights the color, showing BIG action for that stock.
The last version was calculating the percent volume difference from yesterday to today for the stock and index and displaying the difference. The prior method had large swings on low volume stocks... this one shows the independent volume action much better. The default values will suit most stocks.
You can set three variables...
- the index symbol, default is SPY
- the period for averaging, default is 60
- the max volume percent, default is 500
Good trading!
Brian Hershey
close-hl2 Price actionStill not tested, but looks very good ; it is the difference between EMA median price and EMA close in different time frame, I used 240, 60, and the current Time frame ,plus one more customed period ; can forcast the price movement , but it s not in scale, so it can not show how much higher or lower the price can goes but just the next direction. I think intraday on 5 ,15 ,60 better then high frame.If you need to try on Daily frame have to change the period to higher then Daily
Everyday 0002 _ MAC 1st Trading Hour WalkoverThis is the second strategy for my Everyday project.
Like I wrote the last time - my goal is to create a new strategy everyday
for the rest of 2016 and post it here on TradingView.
I'm a complete beginner so this is my way of learning about coding strategies.
I'll give myself between 15 minutes and 2 hours to complete each creation.
This is basically a repetition of the first strategy I wrote - a Moving Average Crossover,
but I added a tiny thing.
I read that "Statistics have proven that the daily high or low is established within the first hour of trading on more than 70% of the time."
(source: )
My first Moving Average Crossover strategy, tested on VOLVB daily, got stoped out by the volatility
and because of this missed one nice bull run and a very nice bear run.
So I added this single line: if time("60", "1000-1600") regarding when to take exits:
if time("60", "1000-1600")
strategy.exit("Close Long", "Long", profit=2000, loss=500)
strategy.exit("Close Short", "Short", profit=2000, loss=500)
Sweden is UTC+2 so I guess UTC 1000 equals 12.00 in Stockholm. Not sure if this is correct, actually.
Anyway, I hope this means the strategy will only take exits based on price action which occur in the afternoon, when there is a higher probability of a lower volatility.
When I ran the new modified strategy on the same VOLVB daily it didn't get stoped out so easily.
On the other hand I'll have to test this on various stocks .
Reading and learning about how to properly test strategies is on my todo list - all tips on youtube videos or blogs
to read on this topic is very welcome!
Like I said the last time, I'm posting these strategies hoping to learn from the community - so any feedback, advice, or corrections is very much welcome and appreciated!
/pbergden
RSI Cloud v1.0 [PriceBlance] RSI Cloud v1.0 — Ichimoku-style Cloud on RSI(14), not on price.
Recalibrated baselines: EMA9 (Tenkan) for speed, WMA45 (Kijun) for stability.
Plus ADX-on-RSI to grade strength so you know when momentum persists or fades.
1. Introduction
RSI Cloud v1.0 applies an Ichimoku Cloud directly on RSI(14) to reveal momentum regimes earlier and cleaner than price-based views. We replaced Tenkan with EMA9 (faster, more responsive) and Kijun with WMA45 (slower, more stable) to fit a bounded oscillator (0–100). Forward spans (+26) and a lagging line (−26) provide a clear framework for trend bias and transitions.
To qualify signals, the indicator adds ADX computed on RSI—highlighting whether strength is weak, strong, or very strong, so you can decide when to follow, fade, or stand aside.
2. Core Mapping (Hook + Bullets)
At a glance: Ichimoku on RSI(14) with recalibrated baselines for a bounded oscillator.
Source: RSI(14)
Tenkan → EMA9(RSI) (fast, responsive)
Kijun → WMA45(RSI) (slow, stable)
Span A: classic Ichimoku midline, displaced +26
Span B: classic Ichimoku baseline, displaced +26
Lagging line: RSI shifted −26
3. Key Benefits (Why traders care)
Momentum regimes on RSI: position vs. Cloud = bull / bear / transition at a glance.
Cleaner confirmations: EMA9/WMA45 pairing cuts noise vs. raw 30/70 flips.
Earlier warnings: Cloud breaks on RSI often lead price-based confirmations.
4. ADX on RSI (Enhanced Strength Normalization)
Grade strength inside the RSI domain using ADX from ΔRSI:
ADX ≤ 20 → Weak (transparency = 60)
ADX ≤ 40 → Strong (transparency = 15)
ADX > 40 → Very strong (transparency = 0)
Use these tiers to decide when to trust, fade, or ignore a signal.
5. How to Read (Quick rules)
Bias / Regime
Bullish: RSI above Cloud and RSI > WMA45
Bearish: RSI below Cloud and RSI < WMA45
Neutral / Transition: all other cases
6. Settings (Copy & use)
RSI Length: 14 (default)
Tenkan: EMA9 on RSI · Kijun: WMA45 on RSI
Displacement: +26 (Span A/B) · −26 (Lagging)
Theme: PriceBlance Dark/Light
Visibility toggles: Cloud, Baselines, Lagging, labels/panel, Overbought/Oversold, Divergence, ADX-on-RSI (via transparency coloring)
7. Credits & License
Author/Brand: PriceBlance
Version: v1.0 (Free)
Watermark: PriceBlance • RSI Cloud v1.0
Disclaimer: Educational content; not financial advice.
8. CTA
If this helps, please ⭐ Star and Follow for updates & new tools.
Feedback is welcome—comment what you’d like added next (alerts, presets, visuals).
Stoch + RSI DashboardIndicator Description
MTF Stochastic + RSI Dashboard FLEX with STRONG Alerts
A compact, multi-timeframe dashboard that shows Stochastic %K/%D, RSI and signal states across user-defined timeframes. Columns can be toggled on/off to keep the panel as small as you need. Signal texts and colors are fully customizable. The table can be placed in any chart corner, and the background color & opacity are adjustable for perfect readability.
What it shows
• For each selected timeframe: %K, %D, a signal cell (Bullish/Bearish/Strong), RSI value, and RSI state (Overbought/Oversold/Neutral).
• Timeframes are displayed as friendly labels (e.g., 60 → 1h, W → 1w, 3D → 3d).
Signals & logic
• Bullish/Bearish when %K and %D show a sufficient gap (or an optional confirmed cross).
• Strong Bullish when both %K and %D are below the “Strong Bullish max” threshold.
• Strong Bearish when both %K and %D are above the “Strong Bearish min” threshold.
• Optional confirmation: RSI < 30 for Strong Bullish, RSI > 70 for Strong Bearish.
Alerts
• Global alerts for any selected timeframes when a STRONG BULLISH or STRONG BEARISH event occurs.
Key options
• Column visibility toggles (TF, %K, %D, Signal, RSI, RSI Status).
• Custom signal texts & colors.
• Dashboard position: top-left / top-right / bottom-left / bottom-right.
• Table background color + opacity (0 = opaque, 100 = fully transparent).
• Sensitivity (minimum %K–%D gap) and optional “cross-only” mode.
• Customizable timeframes for display and for alerts.
Default settings
• Stochastic: K=5, D=3, SmoothK=3
• RSI length: 14
• Decimals: 1
• Strong Bullish max: 20
• Strong Bearish min: 80
• Default TFs & alerts: 3m, 15m, 1h, 3h, 6h, 12h, 1d, 3d, 1w
Swing Dashboard - Pro Trader Metrics with MTF & Enhanced VolumeDESCRIPTION:
A comprehensive real-time dashboard designed for swing traders and active investors trading US equities. Displays all critical metrics in one customizable panel overlay - no need to clutter your chart with multiple indicators.
KEY FEATURES:
📊 Relative Strength Analysis:
Stock vs Market (SPY/QQQ/IWM/DIA)
Stock vs Sector (automatic sector ETF detection)
Sector vs Market comparison
Customizable lookback period (5-60 days)
📈 Price & Range Metrics:
Daily range, change, and gap percentages
Distance from SMA20, SMA50, VWAP
52-week position percentage
ATR% and ADR% for volatility assessment
Range/ADR ratio for breakout detection
💪 Advanced Volume Analysis:
RVOL (full day volume vs 20-day average)
Volume Strength (bar-by-bar analysis)
Volume Trend (5-day vs 20-day momentum)
Customizable RVOL alert thresholds
Non-repainting volume calculations
⚙️ Multi-Timeframe (MTF) Mode:
View daily charts with 5-min or 15-min metric updates
Perfect for monitoring positions without switching timeframes
All calculations remain accurate across timeframes
🎨 Fully Customizable:
Choose which metrics to display
9 position options for the dashboard
Adjustable text size and colors
Toggle individual metrics on/off
Sector-specific ETF mapping for accurate RS calculations
TECHNICAL SPECIFICATIONS:
✅ Non-repainting - all calculations use confirmed bar data
✅ No lookahead bias or future data
✅ Optimized for US stocks with proper sector mapping
✅ Works on any timeframe (best on 5m-Daily)
✅ Pine Script v6 with best practices
✅ Handles edge cases and missing data gracefully
IDEAL FOR:
Swing traders monitoring multiple positions
Day traders needing quick metric overview
Investors tracking relative strength and momentum
Anyone who wants institutional-grade metrics in one place
SECTOR ETF MAPPING:
Automatically maps to correct sector ETFs: XLK, XLF, XLV, XLY, XLP, XLE, XLB, XLI, XLRE, XLC, XLU
HOW TO USE:
Green = Positive/Strong | Red = Negative/Weak | White = Neutral
RS > 0 = Outperforming benchmark/sector
RVOL > 1.5x = High volume day
VWAP% negative = Price below VWAP (mean reversion opportunity)
R/ADR > 100% = Extended range (potential exhaustion)
Perfect for traders who need professional-grade analysis without chart clutter.
TAGS:
dashboard, swing, relativestrengrh, sectoranalysis, volume, rvol, multitimeframe, mtf, tradingdashboard, metrics, daytrading, swingtrading, momentum, vwap, atr, volatility, volumeanalysis
Relative Strength Index_ShRelative Strength Index updated to keep upper level at 60 while lower at 40
Alpha - Multi-Asset Adaptive Trading Strategy# Alpha - Multi-Asset Adaptive Trading Strategy
Overview
Alpha is a comprehensive trading strategy that combines multiple technical analysis components with pre-optimized settings for over 70 different trading instruments across cryptocurrencies, forex, and stocks. The strategy employs an adaptive approach using modified trend detection algorithms, dynamic support/resistance zones, and multi-timeframe confirmation.
Key Features & Originality
1. Adaptive Trend Detection System
- Modified trend-following algorithm with amplitude-based channel deviation
- Dynamic channel width adjustment based on ATR (Average True Range)
- Dual-layer trend confirmation using both price action and momentum indicators
2. Pre-Configured Asset Optimization
The strategy includes carefully backtested parameter sets for:
- **Cryptocurrencies**: BTC, ETH, and 40+ altcoin pairs
- **Forex Pairs**: Major and minor currency pairs
- **Stocks**: TSLA, AAPL, GOOG
- **Commodities**: Gold, Silver, Platinum
- Each configuration is optimized for specific timeframes (5m, 15m, 30m, 45m, 1h)
3. Advanced Risk Management
- Multiple take profit levels (4 targets with customizable position sizing)
- Dynamic stop-loss options (ATR-based or percentage-based)
- Position size allocation across profit targets (default: 30%, 30%, 30%, 10%)
4. Multi-Timeframe Analysis Dashboard
- Real-time analysis across 4 configurable timeframes
- Comprehensive performance metrics display
- Visual representation of current market conditions
5. Market Condition Filtering
- RSI-based trend strength filtering
- ATR-based volatility filtering
- Sideways market detection to avoid choppy conditions
- Customizable filter combinations (ATR only, RSI only, both, or disabled)
How to Use
Initial Setup
1. **Select Asset Configuration**: Choose your trading pair from the "Strategies" dropdown menu
2. **Enable Strategy**: Enter "Alpha" in the code confirmation field
3. **Adjust Timeframe**: Match your chart timeframe to the selected strategy configuration
Parameter Customization
- **Trendline Settings**: Adjust amplitude and channel deviation for sensitivity
- **TP/SL Method**: Choose between ATR-based or percentage-based targets
- **Filtering Options**: Select appropriate market filters for your trading style
- **Backtest Period**: Set the number of days for strategy testing (max 60)
Signal Interpretation
- **BUY/SELL Labels**: Primary entry signals based on trend changes
- **Support/Resistance Zones**: Visual zones showing key price levels
- **Dashboard**: Real-time display of position status, targets, and performance metrics
Important Considerations
Limitations and Warnings
- **Backtesting Period**: Results shown are based on historical data from the specified backtest period
- **No Guarantee**: Past performance does not guarantee future results
- **Market Conditions**: Strategy performance varies with market volatility and trending conditions
- **Repainting**: Some signals may repaint if "Wait For Confirmed Bar" is disabled
Risk Warnings
- The pre-configured settings are starting points and may require adjustment for current market conditions
- Always use appropriate position sizing and risk management
- Test thoroughly on demo accounts before live trading
- Monitor and adjust parameters regularly as market dynamics change
Technical Components
Core Indicators Used
- Modified trend detection with amplitude-based channels
- RSI (Relative Strength Index) for momentum confirmation
- ATR (Average True Range) for volatility measurement
- Support/Resistance detection using pivot points
- Bollinger Band variant for trend confirmation
Alert Functionality
The strategy includes comprehensive alert options for:
- Entry signals (long and short)
- Take profit levels (TP1, TP2, TP3, TP4)
- Stop loss triggers
- Integration with trading bots via webhook messages
Recommended Usage
Best Practices
1. Start with the pre-configured settings for your chosen asset
2. Run backtests over different time periods to verify performance
3. Use the dashboard to monitor real-time strategy performance
4. Adjust filters based on current market conditions
5. Always use stop losses and proper risk management
Timeframe Recommendations
- **Short-Term**: Use 5m, 15m configurations for scalping
- **Mid-Term**: Use 30m, 45m configurations for day trading
- **Long-Term**: Use 1h configurations for swing trading
Updates and Support
The strategy parameters are regularly reviewed and optimized. Users should periodically check for updates to ensure they have the latest configurations.
Disclaimer
This strategy is for educational and informational purposes only. Trading involves substantial risk of loss. Users should conduct their own research and consider their financial situation before trading. The author is not responsible for any trading losses incurred using this strategy.
RSI Momentum ScalperOverview
The "RSI Momentum Scalper" is a Pine Script v5 strategy crafted for trading highly volatile markets, with a special focus on newly listed cryptocurrencies. This strategy harnesses the Relative Strength Index (RSI) alongside volume analysis and momentum thresholds to pinpoint short-term trading opportunities. It supports both long and short trades, managed with customizable take profit, stop loss, and trailing stop levels, which are visually plotted on the chart for easy tracking.
Why I Created This Strategy
I developed the "RSI Momentum Scalper" because I was seeking a reliable trading strategy tailored to newly listed, highly volatile cryptocurrencies. These assets often experience rapid price fluctuations, rendering traditional strategies less effective. I aimed to create a tool that could exploit momentum and volume spikes while managing risk through adaptable exit parameters. This strategy is designed to address that need, offering a flexible approach for traders in dynamic crypto markets.
How It Works
The strategy utilizes RSI to identify momentum shifts, combined with volume confirmation, to trigger long or short entries. Trades are controlled with take profit, stop loss, and trailing stop levels, which adjust dynamically as the price moves in your favor. The trailing stop helps lock in profits, while the plotted exit levels provide clear visual cues for trade management.
Customizable Settings
The script is highly customizable, allowing you to adjust it to various market conditions and trading styles. Here’s a brief overview of the key settings:
Trade Mode: Select "Both," "Long Only," or "Short Only" to determine the trade direction.
(Default: Both)
RSI Length: Sets the lookback period for the RSI calculation (2 to 30).
(Default: 8)
A shorter length increases RSI sensitivity, suitable for volatile assets.
RSI Overbought: Defines the upper RSI threshold (60 to 99) for short entries.
(Default: 90)
Higher values signal stronger overbought conditions.
RSI Oversold: Defines the lower RSI threshold (1 to 40) for long entries.
(Default: 10)
Lower values indicate stronger oversold conditions.
RSI Momentum Threshold: Sets the minimum RSI momentum change (1 to 15) to trigger entries.
(Default: 14)
Adjusts the sensitivity to price momentum.
Volume Multiplier: Multiplies the volume moving average to filter high-volume bars (1.0 to 3.0).
(Default: 1)
Higher values require stronger volume confirmation.
Volume MA Length: Sets the lookback period for the volume moving average (5 to 50).
(Default: 13)
Influences the volume trend sensitivity.
Take Profit %: Sets the profit target as a percentage of the entry price (0.1 to 10.0).
(Default: 4.15)
Determines when to close a winning trade.
Stop Loss %: Sets the loss limit as a percentage of the entry price (0.1 to 6.0).
(Default: 1.85)
Protects against significant losses.
Trailing Stop %: Sets the trailing stop distance as a percentage (0.1 to 4.0).
(Default: 2.55)
Locks in profits as the price moves favorably.
Visual Features
Exit Levels: Take profit (green), fixed stop loss (red), and trailing stop (orange) levels are plotted when in a position.
Performance Table: Displays win rate, total trades, and net profit in the top-right corner.
How to Use
Add the strategy to your chart in TradingView.
Adjust the input settings based on the cryptocurrency and timeframe you’re trading.
Monitor the plotted exit levels for trade management.
Use the performance table to assess the strategy’s performance over time.
Notes
Test the strategy on a demo account or with historical data before live trading.
The strategy is optimized for short-term scalping; adjust settings for longer timeframes if needed.
MTL One-Stop PRO Here’s the English version you can paste into the script description or a Telegram post.
---
# MTL One-Stop PRO v6
**EMAs • PDH/PDL • PWH/PWL • PMH/PML • RSI/ADX/OBV/ATR • Readiness**
## What it draws on the chart
* **EMA bands (21/50/200)** on price + a **21–50 ribbon** — quick read of impulse/pullback and location vs. the moving averages.
* **Prior period levels:**
* **PDH/PDL** (previous day high/low) — *blue*.
* **PWH/PWL** (previous week high/low) — *orange dashed*.
* **PMH/PML** (previous month high/low) — *purple dashed*.
Labels are printed on the right margin to keep the chart clean.
* **“Readiness” panel** (bottom-right): summary metrics and quick long/short readiness scores.
## Readiness panel — fields & meaning
* **TF / Trend**
* `Trend 1 (21>50>200)` — bullish EMA stack.
* `Trend −1 (21<50<200)` — bearish EMA stack.
* `Trend = mix` — mixed/sideways structure.
* **RSI** (calculated on the selected TF) — momentum gauge. Rule of thumb: >50 bullish, <50 bearish.
* **ADX** — trend strength. Practical zone **20–25+**.
* **ATR %** — volatility as % of price (= ATR(14)/Close·100). Helps classify regime: low/normal/high.
* **OBV ↑/↓** — accumulation/distribution direction (arrow from the OBV slope/smoothing).
* **Near PDH? / Near PDL?** — proximity flags to key extremes (within a user-set threshold; handy for breakout/fakeout/retest scenarios).
* **LongScore / ShortScore (0–5)** — quick “readiness” rating:
* +1 for trend aligned with the scenario (EMA stack).
* +1 for RSI in favor.
* +1 for ADX in the working zone.
* +1 for OBV in favor.
* +1 for price positioning (for longs — closer to **PDL/PWL** pullback or **PDH/PWH** breakout; for shorts — the opposite).
Sum → priority: **4–5/5** aggressive, **2–3/5** only with a pattern, **0–1/5** skip.
## How to read & use (fits the “Top-setup 1D/3D/1W” flow)
## Settings (main groups)
* **EMAs (on price):** lengths/visibility 21/50/200, enable the 21–50 “ribbon”.
* **Levels:** toggles for **PDH/PDL**, **PWH/PWL**, **PMH/PML**.
* **Oscillators (calc TF):** choose the timeframe used to compute **RSI/ADX/OBV/ATR** (e.g., compute on **D** while analyzing 1H/3H).
* **Readiness:** proximity threshold to levels (in ATR fractions), working-zone bounds for ADX/RSI.
## Pro tips
* **Colors map to period:** purple = month, orange = week, blue = day.
* Watch **level clusters** (e.g., PWH≈PMH): frequent reversal/fakeout zones.
* **ATR %** guides tactics: in low vol, breakouts underperform; in higher vol, retests and fakeouts improve.
## Important
The indicator **does not generate auto-signals** or replace risk management. It structures levels/context and speeds up the workflow of your checklist (SMC/liquidity/EMA/ATR/RSI/ADX/OBV) in the 1D/3D/1W pipeline.
---
Want a mini “recommended thresholds” card (RSI/ADX/ATR%) per TF and a 60-second “how to build a trade” tutorial for the description?
Dr.Yazdani V063 Session OR + A-Lines
**ACD Indicator: Mark Fisher's Opening Range Breakout Strategy**
**Overview**
The ACD system, developed by legendary trader Mark Fisher in his book *The Logical Trader*, is a powerful methodology for identifying high-probability trade setups based on the market's opening range (OR). This indicator automates Layers 1 and 2 of the ACD strategy, helping you spot breakout opportunities, trend direction, and key support/resistance levels. Perfect for day traders, scalpers, and swing traders in forex, stocks, futures, or crypto.
**How It Works**
1. **Opening Range (OR)**: Calculated from the high/low of the first X minutes (default: 30-60 min) of major sessions (e.g., Tokyo, London, New York).
2. **A Levels**: Drawn at a percentage (default: 0.5% of OR range or ATR-based) above/below the OR. A breakout above A-Up signals a bullish setup; below A-Down signals bearish.
3. **C Levels**: Wider levels (default: 1-2% or ATR multiplier) for stronger confirmation. Breakouts here confirm trend strength and filter fakeouts.
4. **Pivot Ranges**: Includes daily and N-day pivots to gauge overall market bias (above pivots = bullish; below = bearish).
**Key Features**
- **Customizable Sessions**: Tokyo (00:00-01:00 GMT), London (08:00-09:00 GMT), New York (13:30-14:30 GMT) – adjustable.
- **ATR Integration**: Uses Average True Range for dynamic A/C levels (period: 14 by default).
- **Visual Alerts**: Color-coded lines (green for bullish, red for bearish) + optional labels for breakouts.
- **Pivot Display**: Show/hide daily or multi-day pivots with customizable colors.
- **Risk Management**: Built-in stop-loss suggestions based on OR width.
**Trading Rules**
- **Bullish Setup**: Price breaks and holds above A-Up → Enter long at C-Up confirmation. Target: Next pivot or 1:2 risk-reward.
- **Bearish Setup**: Price breaks below A-Down → Enter short at C-Down.
- **Avoid Fakeouts**: Wait for stabilization (e.g., close above/below level).
- **Trend Filter**: Combine with PMA (Pivot Moving Average) for Layer 3 confirmation (search "ACD PMA" in TradingView).
**Settings Guide**
- **OR Timeframe**: Session start time and duration (e.g., 30 min).
- **A Multiplier (%)**: Distance for A levels (default: 0.5).
- **C Multiplier (%)**: Distance for C levels (default: 1.0).
- **ATR Period**: For volatility-based levels (default: 14).
- **Show Pivots**: Toggle daily/N-day ranges.
This indicator balances supply/demand by analyzing volume and price action within the opening range. Backtest on your favorite pairs (e.g., EURUSD, BTCUSD) and adjust for your style. Not financial advice – always use proper risk management!
**Inspired by**: Mark Fisher's ACD Methodology. Open-source for community review. Questions? Comment below!
#ACD #OpeningRange #Breakout #DayTrading #FisherStrategy
Smart Money Support/Resistance — LiteSmart Money Support/Resistance — Lite
Overview & Methodology
This indicator identifies support and resistance as zones derived from concentrated buying and selling pressure, rather than relying solely on traditional swing highs/lows. Its design focuses on transparency: how data is sourced, how zones are computed, and how the on‑chart display should be interpreted.
Lower‑Timeframe (LTF) Data
The script requests Up Volume, Down Volume, and Volume Delta from a lower timeframe to expose intrabar order‑flow structure that the chart’s native timeframe cannot show. In practical terms, this lets you see where buyers or sellers briefly dominated inside the body of a higher‑timeframe bar.
bool use_custom_tf_input = input.bool(true, title="Use custom lower timeframe", tooltip="Override the automatically chosen lower timeframe for volume calculations.", group=grpVolume)
string custom_tf_input = input. Timeframe("1", title="Lower timeframe", tooltip="Lower timeframe used for up/down volume calculations (default 5 seconds).", group=grpVolume)
import TradingView/ta/10 as tvta
resolve_lower_tf(useCustom, customTF) =>
useCustom ? customTF :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
get_up_down_volume(lowerTf) =>
= tvta.requestUpAndDownVolume(lowerTf)
var float upVolume = na
var float downVolume = na
var float deltaVolume = na
string lower_tf = resolve_lower_tf(use_custom_tf_input, custom_tf_input)
= get_up_down_volume(lower_tf)
upVolume := u_tmp
downVolume := d_tmp
deltaVolume := dl_tmp
• Data source: TradingView’s ta.requestUpAndDownVolume(lowerTf) via the official TA library.
• Plan capabilities: higher‑tier subscriptions unlock seconds‑based charts and allow more historical bars per chart. This expands both the temporal depth of LTF data and the precision of short‑horizon analysis, while base tiers provide minute‑level data suitable for day/short‑swing studies.
• Coverage clarity: a small on‑chart Coverage Panel reports the active lower timeframe, the number of bars covered, and the latest computed support/resistance ranges so you always know the bounds of valid LTF input.
Core Method
1) Data acquisition (LTF)
The script retrieves three series from the chosen lower timeframe:
– Up Volume (buyers)
– Down Volume (sellers)
– Delta (Up – Down)
2) Rolling window & extrema
Over a user‑defined lookback (Global Volume Period), the algorithm builds rolling arrays of completed bars and scans for extrema:
– Buyers_max / Buyers_min from Up Volume
– Sellers_max / Sellers_min from Down Volume
Only completed bars are considered; the current bar is excluded for stability.
3) Price mapping
The extrema are mapped back to their source candles to obtain price bounds:
– For “maximum” roles the algorithm uses the relevant candle highs.
– For “minimum” roles it uses the relevant candle lows.
These pairs define candidate resistance (max‑based) and support (min‑based) zones or vice versa.
4) Zone construction & minimum width
To ensure practicality on all symbols, zones enforce a minimum vertical thickness of two ticks. This prevents visually invisible or overly thin ranges on instruments with tight ticks.
5) Vertical role resolution
When both max‑ and min‑based zones exist, the script compares their midpoints. If, due to local price structure, the min‑based zone sits above the max‑based zone, display roles are swapped so the higher zone is labeled Resistance and the lower zone Support. Colors/widths are updated accordingly to keep the visual legend consistent.
6) Rendering & panel
Two horizontal lines and a filled box represent each active zone. The Coverage Panel (bottom‑right by default) prints:
– Lower‑timeframe in use
– Number of bars covered by LTF data
– Current Support and Resistance ranges
If the two zones overlap, an additional “Range Market” note is shown.
Key Inputs
• Global Volume Period: shared lookback window for the extrema search.
• Lower timeframe: user‑selectable override of the automatically resolved lower timeframe.
• Visualization toggles: independent show/hide controls and colors for maximum (resistance) and minimum (support) zones.
• Coverage Panel: enable/disable the single‑cell table and its readout.
Operational Notes
• The algorithm aligns all lookups to completed bars (no peeking). Price references are shifted appropriately to avoid using the still‑forming bar in calculations.
• Second‑based lower timeframes improve granularity for scalping and very short‑term entries. Minute‑based lower timeframes provide broader coverage for intraday and short‑swing contexts.
• Use the Coverage Panel to confirm the true extent of available LTF history on your symbol/plan before drawing conclusions from very deep lookbacks.
Visual Walkthrough
A step‑by‑step image sequence accompanies this description. Each figure demonstrates how the indicator reads LTF volume, locates extrema, builds price‑mapped zones, and updates labels/colors when vertical order requires it.
Chart Interpretation
This chart illustrates two distinct perspectives of the Smart Money Support/Resistance — Lite indicator, each derived from different lookback horizons and lower-timeframe (LTF) resolutions.
1- Short-term view (43 bars, 10-second LTF)
Using the most recent 43 completed bars with 10-second intrabar data, the algorithm detects that both maximum and minimum volume extrema fall within a narrow range. The result is a clearly identified range market: resistance between 178.15–184.55 and support between 175.02–179.38.
The Coverage Panel (bottom-right) confirms the scope of valid input: the lower timeframe used, number of bars covered, and the resulting zones. This short-term scan highlights how the indicator adapts to limited data depth, flagging sideways structure where neither side dominates.
2 - Long-term view (120 bars, 30-second LTF)
Over a wider 120-bar lookback with higher-granularity 30-second data, broader supply and demand zones emerge.
– The long-term resistance zone captures the concentration of buyers and sellers at the upper boundary of recent price history.
– The long-term support zone anchors to the opposite side of the distribution, derived from maxima and minima of both buying and selling pressure.
These zones reflect deeper structural levels where market participants previously committed significant volume.
Combined Perspective
By aligning the short-term and long-term outputs, the chart shows how the indicator distinguishes immediate consolidation (range market) from more durable support and resistance levels derived from extended history. This dual resolution approach makes clear that support and resistance are not static lines but dynamic zones, dependent on both timeframe depth and the resolution of intrabar volume data.
MA“5 / 10 / 20 / 60 / 240 Moving Averages, with a red background automatically highlighted when MA5 > MA10 > MA20.”
Awesome Oscillator + ADX Divergence System – RCT FUSION PRO Descripción del script:
This script enhances the classic Awesome Oscillator (AO) by integrating non-repainting divergence detection and scaled ADX/DMI trend confirmation, creating a unified framework for identifying high-confluence trade setups. The combination is not arbitrary: divergences in AO signal potential reversals, while ADX validates whether the market has sufficient trend strength to act on them.
1. Customizable Awesome Oscillator:
The AO is calculated as the difference between a fast and slow moving average of the median price (HL2). Users can choose between SMA (default) or EMA for both legs. The histogram changes color based on momentum acceleration (green when rising, red when falling), with built-in alerts for color transitions.
2. Divergence Engine (Non-Repainting):
Automatically detects regular and hidden bullish/bearish divergences between price and the AO:
Regular bullish: Price makes a lower low, AO makes a higher low (potential reversal up).
Hidden bullish: Price makes a higher low, AO makes a lower low (continuation signal).
Equivalent logic applies for bearish cases.
All lines and labels are drawn only after the candle closes, eliminating repainting. Users can toggle visibility, adjust pivot sensitivity (lookback range: 1–60 bars), and choose between 1- or 2-pivot confirmation.
3. Scaled ADX & DMI Overlay:
The standard ADX (14-period) and +DI/-DI lines are dynamically scaled to match the amplitude of the AO. This allows direct visual comparison:
When AO shows a bullish divergence and +DI > -DI and ADX > 23, the setup gains confluence.
The Key Level line (offset to -7) serves as a dynamic reference for ADX strength relative to AO momentum.
ADX, DM+, and DM- can be toggled independently.
How to use:
Look for divergence signals below zero (bullish) or above zero (bearish) in the AO.
Confirm with ADX > 23 (strong trend) and directional alignment (+DI > -DI for longs, vice versa for shorts).
Use color-change alerts in AO as secondary momentum triggers.
This system is designed for swing and intraday traders who seek confirmation across momentum, price structure, and trend strength—reducing false signals through convergence.
Versión en español :
Este script mejora el Oscilador Awesome (AO) clásico al integrar detección de divergencias sin repintado y confirmación de tendencia mediante ADX/DMI escalado, creando un marco unificado para identificar entradas con alta confluencia. La combinación no es arbitraria: las divergencias en el AO señalan posibles giros, mientras que el ADX valida si el mercado tiene fuerza de tendencia suficiente para actuar.
El AO personalizable permite elegir entre SMA o EMA.
Las divergencias (regulares y ocultas) se detectan solo tras el cierre de la vela.
El ADX y los DM+/- se escalan dinámicamente para alinearse visualmente con el AO, permitiendo evaluar confluencia en tiempo real.
Ideal para traders que buscan confirmación entre estructura de precio, momentum y fuerza de tendencia.
BOCS AdaptiveBOCS Adaptive Strategy - Automated Volatility Breakout System
WHAT THIS STRATEGY DOES:
This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss.
TECHNICAL METHODOLOGY:
Price Normalization Process:
The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels.
Volatility Detection:
A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars).
Channel Formation Logic:
When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries.
Breakout Signal Generation:
Two detection modes are available:
Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks.
Any Touch Mode: Breakout occurs when the close price exceeds the boundary.
When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart.
ATR-Based Risk Management:
The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14).
Exit levels are calculated at the moment of breakout:
Long Entry Price = Upper channel boundary
Long TP1 = Entry + (ATR × TP1 Multiplier)
Long TP2 = Entry + (ATR × TP2 Multiplier)
Long SL = Entry - (ATR × SL Multiplier)
For short trades, the calculation inverts:
Short Entry Price = Lower channel boundary
Short TP1 = Entry - (ATR × TP1 Multiplier)
Short TP2 = Entry - (ATR × TP2 Multiplier)
Short SL = Entry + (ATR × SL Multiplier)
Trade Execution Logic:
When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average.
If all conditions are met:
strategy.entry() opens a position using the user-defined number of contracts
strategy.exit() immediately places a stop loss order
The code monitors price against TP1 and TP2 levels on each bar
When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order.
Volume Analysis System:
The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available:
Volume Mode: Shows total volume as bars scaled relative to the 20-period average
Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline
Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below
The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades.
INPUT PARAMETERS:
Strategy Settings:
Number of Contracts: Fixed quantity to trade per signal (1-1000)
Require Volume Confirmation: Toggle to only trade signals with volume >120% of average
TP1 Close Contracts: Exact number of contracts to close at first target (1-1000)
Use Trading Hours Filter: Toggle to restrict trading to specified session
Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600")
Main Settings:
Normalization Length: Lookback bars for high/low calculation (1-500, default 100)
Box Detection Length: Period for volatility peak/trough detection (1-100, default 14)
Strong Closes Only: Toggle between body midpoint vs close price for breakout detection
Nested Channels: Allow multiple overlapping channels vs single channel at a time
ATR TP/SL Settings:
ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.)
ATR Length: Smoothing period for ATR (1-100, default 14)
Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0)
Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0)
Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0)
Enable Take Profit 2: Toggle second profit target on/off
VISUAL INDICATORS:
Channel boxes with semi-transparent fill showing consolidation zones
Green/red colored zones at channel boundaries indicating breakout areas
Volume bars displayed within channels using selected mode
TP/SL lines with labels showing both price level and distance in points
Entry signals marked with up/down triangles at breakout price
Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status
HOW TO USE:
For 2-Minute Scalping:
Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods.
For 5-15 Minute Day Trading:
Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional.
For Hourly+ Swing Trading:
Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups.
BACKTEST CONSIDERATIONS:
Strategy performs best during trending or volatility expansion phases
Consolidation-heavy or choppy markets produce more false signals
Shorter timeframes require wider stop loss multipliers due to noise
Commission and slippage significantly impact performance on sub-5-minute charts
Volume confirmation generally improves win rate but reduces trade frequency
ATR multipliers should be optimized for specific instrument characteristics
COMPATIBLE MARKETS:
Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires TradingView data feed that includes volume for volume confirmation features to function.
KNOWN LIMITATIONS:
Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility
request.security() on lower timeframes requires higher-tier TradingView subscription
False breakouts inherent to breakout strategies cannot be completely eliminated
Performance varies significantly based on market regime (trending vs ranging)
Partial closing logic requires sufficient position size relative to TP1 close contracts setting
RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions.
ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by AlgoAlpha in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns and sharing this innovative technique with the TradingView community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring.
Anchored EMA/VWAP### Anchored EMA/VWAP Indicator
**Description:**
The **Anchored EMA/VWAP Indicator** is a powerful and versatile tool designed for traders seeking to analyze price trends and momentum from a user-defined anchor point in time. Built for TradingView using Pine Script v6, this indicator calculates and displays multiple **Exponential Moving Averages (EMAs)**, **Volume-Weighted Exponential Moving Averages (VWEMAs)**, and a **Volume-Weighted Average Price (VWAP)**, all anchored to a specific date and time chosen by the user. By anchoring these calculations, traders can focus on price action relative to significant market events, such as news releases, earnings reports, or key support/resistance levels.
The indicator supports multi-timeframe (MTF) analysis, allowing users to compute EMAs, VWEMAs, and VWAP on a higher or custom timeframe (e.g., 5-minute, 1-hour, daily) while overlaying the results on the current chart. It also includes customizable cross signals for EMA and VWEMA pairs, marked with distinct shapes (circles, diamonds, squares) to highlight potential trend changes or reversals. These features make the indicator ideal for trend-following, momentum trading, and identifying key price levels across various markets, including stocks, forex, cryptocurrencies, and commodities.
**Key Features:**
- **Anchored Calculations**: EMAs, VWEMAs, and VWAP start calculations from a user-specified anchor time, enabling analysis relative to significant market moments.
- **Multi-Timeframe Support**: Compute indicators on any timeframe (e.g., 60-minute, daily) and display them on the chart’s timeframe for flexible analysis.
- **Customizable EMAs and VWEMAs**: Four EMAs and four VWEMAs with adjustable lengths (default: 9, 21, 50, 100) and colors, with options to show or hide each.
- **Volume-Weighted Metrics**: VWAP and VWEMAs incorporate volume data, providing a more robust representation of market activity compared to standard EMAs.
- **Cross Signals**: Visual markers (circles, diamonds, squares) for crossovers between EMA and VWEMA pairs, with customizable visibility to highlight bullish (up) or bearish (down) signals.
- **User-Friendly Interface**: Organized input groups for General, EMA, VWEMA, VWAP, Arrow Settings, and Cross Visibility, with intuitive inline inputs for length and color customization.
- **Visual Clarity**: Overlaid on the price chart with distinct colors and line styles (dotted for EMAs, dashed for VWEMAs, solid for VWAP) to ensure easy interpretation.
**How to Use:**
1. **Set the Anchor Time**: Click a specific bar or enter a date/time (default: June 1, 2025) to start calculations from a significant market event.
2. **Select Timeframe**: Choose a timeframe (e.g., "5" for 5-minute, "D" for daily) to compute the indicators, allowing alignment with your trading strategy.
3. **Customize EMAs and VWEMAs**: Adjust lengths and colors for up to four EMAs and VWEMAs, and toggle their visibility to focus on relevant lines.
4. **Enable VWAP**: Display the anchored VWAP to identify volume-weighted price levels, useful as dynamic support/resistance.
5. **Monitor Cross Signals**: Enable cross visibility for specific EMA or VWEMA pairs to spot potential trend changes. Bullish crosses (e.g., shorter EMA crossing above longer EMA) are marked with green shapes below the bar, while bearish crosses are marked with red shapes above the bar.
6. **Interpret Signals**: Use EMA/VWEMA crossovers for trend confirmation, VWAP as a mean-reversion level, and volume-weighted VWEMAs for momentum analysis in high-volume markets.
**Use Cases:**
- **Trend Trading**: Identify trend direction using EMA and VWEMA crossovers, with shorter lengths (e.g., 9, 21) for faster signals and longer lengths (e.g., 50, 100) for trend confirmation.
- **Mean Reversion**: Use the anchored VWAP as a dynamic support/resistance level to trade pullbacks or breakouts.
- **Event-Based Analysis**: Anchor the indicator to significant events (e.g., earnings, economic data releases) to analyze price behavior post-event.
- **Multi-Timeframe Strategies**: Combine higher timeframe EMAs/VWAPs with lower timeframe price action for high-probability setups.
**Settings:**
- **Anchor Time**: Set the starting point for calculations (default: June 1, 2025).
- **Timeframe**: Choose the timeframe for calculations (default: 5-minute).
- **EMA/VWEMA Lengths**: Default lengths of 9, 21, 50, and 100 for both EMAs and VWEMAs, adjustable per user preference.
- **Colors**: Customizable colors with slight transparency for visual clarity.
- **Cross Visibility**: Toggle specific EMA and VWEMA cross signals (e.g., EMA1/EMA2, VWEMA1/VWEMA3) to reduce chart clutter.
- **Arrow Colors**: Green for bullish crosses, red for bearish crosses.
**Notes:**
- The indicator is overlaid on the price chart, ensuring seamless integration with price action analysis.
- VWEMAs and VWAP are volume-sensitive, making them particularly effective in markets with significant volume fluctuations.
- Ensure the anchor time is set to a valid historical or future bar to avoid calculation errors.
- Cross signals are conditional on non-NA values to prevent false positives during initialization.
**Author**: NEPOLIX
**Version**: 6 (Pine Script v6)
**Published**: For TradingView Community
This indicator is a must-have for traders looking to combine anchored, volume-weighted, and multi-timeframe analysis into a single, customizable tool. Whether you're a day trader, swing trader, or long-term investor, the Anchored EMA/VWAP Indicator provides actionable insights for informed trading decisions.
Opening ATR + High Momentum (10/30/60)this is a custom momentum indicator using atr
A fixed, compiling Pine v5 script is below with the three issues corrected: no plots in local scope, a ≤10-character shorttitle, and cleaned ternaries/formatting that remove the “end of line without line continuation” error.
Foresight Cone (HoltxF1xVWAP) [KedArc Quant]Description:
This is a time-series forecasting indicator that estimates the next bar (F1) and projects a path a few bars ahead. It also draws a confidence cone based on how accurate the recent forecasts have been. You can optionally color the projection only when price agrees with VWAP.
Why it’s different
* One clear model: Everything comes from Holt’s trend-aware forecasting method—no mix of unrelated indicators.
* Transparent visuals: You see the next-bar estimate (F1), the forward projection, and a cone that widens or narrows based on recent forecast error.
* Context, not signals: The VWAP option only changes colors. It doesn’t add trade rules.
* No look-ahead: Accuracy is measured using the forecast made on the previous bar versus the current bar.
Inputs (what they mean)
* Source: Price series to forecast (default: Close).
* Preset: Quick profiles for fast, smooth, or momentum markets (see below).
* Alpha (Level): How fast the model reacts to new prices. Higher = faster, twitchier.
* Beta (Trend): How fast the model updates the slope. Higher = faster pivots, more flips in chop.
* Horizon: How many bars ahead to project. Bigger = wider cone.
* Residual Window: How many bars to judge recent accuracy. Bigger = steadier cone.
* Confidence Z: How wide the cone should be (typical setting ≈ “95% style” width).
* Show Bands / Draw Forward Path: Turn the cone and forward lines on/off.
* Color only when aligned with VWAP: Highlights projections only when price agrees with the trend side of VWAP.
* Colors / Show Panel: Styling plus a small panel with RMSE, MAPE, and trend slope.
Presets (when to pick which)
* Scalp / Fast (1-min): Very responsive; best for quick moves. More twitch in chop.
* Smooth Intraday (1–5 min): Calmer and steadier; a good default most days.
* Momentum / Breakout: Quicker slope tracking during strong pushes; may over-react in ranges.
* Custom: Set your own values if you know exactly what you want.
What is F1 here?
F1 is the model’s next-bar fair value. Crosses of price versus F1 can hint at short-term momentum shifts or mean-reversion, especially when viewed with VWAP or the cone.
How this helps
* Gives a baseline path of where price may drift and a cone that shows normal wiggle room.
* Helps you tell routine noise (inside cone) from information (edges or breaks outside the cone).
* Keeps you aware of short-term bias via the trend slope and F1.
How to use (step by step)
1. Add to chart → choose a Preset (start with Smooth Intraday).
2. Set Horizon around 8–15 bars for intraday.
3. (Optional) Turn on VWAP alignment to color only when price agrees with the trend side of VWAP.
4. Watch where price sits relative to the cone and F1:
* Inside = normal noise.
* At edges = stretched.
* Outside = possible regime change.
5. Check the panel: if RMSE/MAPE spike, expect a wider cone; consider a smoother preset or a higher timeframe.
6. Tweak Alpha/Beta only if needed: faster for momentum, slower for chop.
7. Combine with your own plan for entries, exits, and risk.
Accuracy Panel — what it tells you
Preset & Horizon: Shows which preset you’re using and how many bars ahead the projection goes. Longer horizons mean more uncertainty.
RMSE (error in price units): A “typical miss” measured in the chart’s currency (e.g., ₹).
Lower = tighter fit and a usually narrower cone. Rising = conditions getting noisier; the cone will widen.
MAPE (error in %): The same idea as RMSE but in percent.
Good for comparing different symbols or timeframes. Sudden spikes often hint at a regime change.
Slope T: The model’s short-term trend reading.
Positive = gentle up-bias; negative = gentle down-bias; near zero = mostly flat/drifty.
How to read it at a glance
Calm & directional: RMSE/MAPE steady or falling + Slope T positive (or negative) → trends tend to respect the cone’s mid/upper (or mid/lower) area.
Choppy/uncertain: RMSE/MAPE climbing or jumping → expect more whipsaw; rely more on the cone edges and higher-TF context.
Flat tape: Slope T near zero → mean-revert behavior is common; treat cone edges as stretch zones rather than breakout zones.
Warm-up & tweaks
Warm-up: Right after adding the indicator, the panel may be blank for a short time while it gathers enough bars.
Too twitchy? Switch to Smooth Intraday or increase the Residual Window.
Too slow? Use Scalp/Fast or Momentum/Breakout to react quicker.
Timeframe tips
* 1–3 min: Scalp/Fast or Momentum/Breakout; horizon \~8–12.
* 5–15 min: Smooth Intraday; horizon \~12–15.
* 30–60 min+: Consider a larger residual window for a steadier cone.
FAQ
Q: Is this a strategy or an indicator?
A: It’s an indicator only. It does not place orders, TP/SL, or run backtests.
Q: Does it repaint?
A: The next-bar estimate (F1) and the cone are calculated using only information available at that time. The forward path is a projection drawn on the last bar and will naturally update as new bars arrive. Historical bars aren’t revised with future data.
Q: What is F1?
A: F1 is the indicator’s best guess for the next bar.
Price crossing above/below F1 can hint at short-term momentum shifts or mean-reversion.
Q: What do “Alpha” and “Beta” do?
A: Alpha controls how fast the indicator reacts to new prices
(higher = faster, twitchier). Beta controls how fast the slope updates (higher = quicker pivots, more flips in chop).
Q: Why does the cone width change?
A: It reflects recent forecast accuracy. When the market gets noisy, the cone widens. When the tape is calm, it narrows.
Q: What does the Accuracy Panel tell me?
A:
* Preset & Horizon you’re using.
* RMSE: typical forecast miss in price units.
* MAPE: typical forecast miss in percent.
* Slope T: short-term trend reading (up, down, or flat).
If RMSE/MAPE rise, expect a wider cone and more whipsaw.
Q: The panel shows “…” or looks empty. Why?
A: It needs a short warm-up to gather enough bars. This is normal after you add the indicator or change settings/timeframes.
Q: Which timeframe is best?
A:
* 1–3 min: Scalp/Fast or Momentum/Breakout, horizon \~8–12.
* 5–15 min: Smooth Intraday, horizon \~12–15.
Higher timeframes work too; consider a larger residual window for steadier cones.
Q: Which preset should I start with?
A: Start with Smooth Intraday. If the market is trending hard, try Momentum/Breakout.
For very quick tapes, use Scalp/Fast. Switch back if things get choppy.
Q: What does the VWAP option do?
A: It only changes colors (highlights when price agrees with the trend side of VWAP).
It does not add or remove signals.
Q: Are there alerts?
A: Yes—alerts for price crossing F1 (up/down). Use “Once per bar close” to reduce noise on fast charts.
Q: Can I use this on stocks, futures, crypto, or FX?
A: Yes. It works on any symbol/timeframe. You may want to adjust Horizon and the Residual Window based on volatility.
Q: Can I use it with Heikin Ashi or other non-standard bars?
A: You can, but remember you’re forecasting the synthetic series of those bars. For pure price behavior, use regular candles.
Q: The cone feels too wide/too narrow. What do I change?
A:
* Too wide: lower Alpha/Beta a bit or increase the Residual Window.
* Too narrow (misses moves): raise Alpha/Beta slightly or try Momentum/Breakout.
Q: Why do results change when I switch timeframe or symbol?
A: Different noise levels and trends. The accuracy stats reset per chart, so the cone adapts to each context.
Q: Any limits or gotchas?
A: Extremely large Horizon may hit TradingView’s line-object limits; reduce Horizon or turn
off extra visuals if needed. Big gaps or news spikes will widen errors—expect the cone to react.
Q: Can this predict exact future prices?
A: No. It provides a baseline path and context. Always combine with your own rules and risk management.
Glossary
* TS (Time Series): Data over time (prices).
* Holt’s Method: A forecasting approach that tracks a current level and a trend to predict the next bars.
* F1: The indicator’s best guess for the next bar.
* F(h): The projected value h bars ahead.
* VWAP: Volume-Weighted Average Price—used here for optional color alignment.
* RMSE: Typical forecast miss in price units (how far off, on average).
* MAPE: Typical forecast miss in percent (scale-free, easy to compare).
Notes & limitations
* The panel needs a short warm-up; stats may be blank at first.
* The cone reflects recent conditions; sudden volatility changes will widen it.
* This is a tool for context. It does not place trades and does not promise results.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.