Custom ORBIT — GSK-VIZAG-AP-INDIA 📌 Description
Custom ORBIT — Opening Range Breakout Indicator Tool
Created by GSK-VIZAG-AP-INDIA
This indicator calculates and visualizes the Opening Range (OR) of the trading session, with customizable start/end times and flexible range duration. The Opening Range is defined by the highest and lowest prices during the selected initial market window.
🔹 Key Features:
User-defined Opening Range duration (default: 15 minutes from 9:15).
Adjustable session start and end times.
Plots Opening Range High (ORH) and Opening Range Low (ORL).
Extends OR levels across the session with multiple line style options (Dotted, Dashed, Solid, Smoothed).
Highlights breakouts (price crossing above/below OR) and reversals (price returning back inside).
Simple chart markers (triangles/labels) for quick visual recognition.
⚠️ Disclaimer:
This tool is intended for educational and analytical purposes only. It does not generate buy/sell signals or provide financial advice. Always use independent analysis and risk management.
Statistics
Trading Stats BarSimple statistics bar designed to give important values for swing trading
Most of the values are self explanatory
Float Grade
Combines float and float % designed to give a sense if the stock has the potential to move quickly. If the float is less than 20 million and float % less than 50, this has a high potential to make fast moves.
Volume Run Rate
Concept is to focus on the opening x minutes and average this value over the previous y days
Timeframe Shift AlertIf the higher timeframe flips bullish, you’ll get a notification like:
“✅ Higher TF (240) just flipped from Bearish → Bullish”
• If it flips bearish, you’ll get:
“❌ Higher TF (240) just flipped from Bullish → Bearish”
Weekly pecentage tracker by PRIVATE
Settings Picture below this link: 👇
i.ibb.co
What it is
A lightweight “Weekly % Tracker” overlay that lets you manually enter weekly performance (in percent) for XAUUSD + up to 10 FX pairs, then shows:
a small table panel with each enabled symbol and its % result
one TOTAL row (Sum / Average / Compounded across all enabled symbols)
an optional mini badge showing the % for a single selected symbol
Nothing is auto-calculated from price—you type the % yourself.
Key settings
Panel: show/hide, position, number of decimals, colors (background, text, green/red).
Total mode:
Sum – adds percentages
Average – mean of enabled rows
Compounded –
(
∏
(
1
+
𝑝
/
100
)
−
1
)
×
100
(∏(1+p/100)−1)×100
Symbols:
XAUUSD (toggle + label + % input)
10 FX pairs (each has On/Off, label text, % input). You can rename labels to any symbol text you want.
Mini badge: show/hide, position, and symbol to display.
How it works
Overlay indicator: overlay=true; just draws UI on the chart (no plots).
Arrays (syms, vals, ons) collect the row data in order: XAU first, then FX1…FX10.
Helpers:
posFrom() converts a position string (e.g., “Top Right”) into a position.* constant.
wp_col() picks green/red/neutral based on the sign of the %.
wp_round() rounds values to the selected decimals.
calc_total() computes the TOTAL with the chosen mode over enabled rows only.
Table creation logic:
Counts how many rows are enabled.
If none enabled or panel is off: the panel table is deleted, so no box/background is visible.
If enabled and on: the panel is (re)created at the chosen position.
On each last bar (barstate.islast), it clears the table to transparent (bgcolor=na) and then fills one row per enabled symbol, followed by a single TOTAL row.
Mini badge:
Always (re)created on position change.
Shows selected symbol’s % (or “-” if that symbol isn’t enabled or has no value).
Colors text green/red by sign.
Notes & limits
It’s manual input—the script doesn’t read trades or P/L from price.
You can rename each row’s label to match any symbol name you want.
When no rows are enabled, the panel disappears entirely (no empty background).
Designed to be light: only draws tables; no heavy plotting.
If you want the TOTAL row to be optional, or different color thresholds, or CSV-style export/import of the values, say the word and I’ll add it.
India Nifty Index Performances DashboardSelf explanatory tabular view of Nifty sector performance ranked top & bottom across calendar year vs. financial year — a clear view of market leaders and laggards.
Options available: Day, Week, Month, Quarter, Calendar Year, (India) Financial Year p
performances. Included Gold (from Mcx), Sme (from Bse), 10Y Gsec for comparison.
Major & Modern Wars TimelineDescription:
This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts.
Features:
Displays start (red line + label) and end (green line + label) for each war.
Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq).
Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War.
For ongoing conflicts, the end date is set to 2025 for timeline visualization.
Customizable: label position (above/below bar), line width.
Works on any chart timeframe, overlaying events on financial data.
Use case:
Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Adaptive FoSThis library contains adaptive functions for some strategies from the general set of FoS (Force of Strategy) script. Mainly based on LastGuru libraries, but rewritten to work with specific conditions of the main script operation.
Daily Weekly Monthly HLC (بهداد)خطوط مهم روزانه هفتگی ماهانه This is an indicator that shows the closing lines and the highest and lowest prices for daily, weekly and monthly periods. In addition, we can divide the entire weekly period into several parts.
Androlog DailyWeeklyMonthlyAndrologLevel — Daily / Weekly / Monthly Levels
This indicator visualizes the Daily, Weekly, and Monthly key levels introduced by Daniel. It’s intentionally minimal and fast, focused on clean higher‑timeframe references for intraday and daily trading.
What it shows:
Daily open and prior‑day high/low
Weekly and Monthly “open”-based levels
Optional labels for quick price readouts
Controls
Show only new levels or keep/extend old ones
Choose whether levels extend to the right
Alerts
Optional alert conditions for level touches (per your settings)
Uses confirmed higher‑timeframe bars; no historical repaint
Lunar calendar day Crypto Trading StrategyLunar calendar day Crypto Trading Strategy
This strategy explores the potential impact of the lunar calendar on cryptocurrency price cycles.
It implements a simple but unconventional rule:
Buy on the 5th day of each lunar month
Sell on the 26th day of the lunar month
No trades between January 1 (solar) and Lunar New Year’s Day (holiday buffer period)
Research background
Several academic studies have investigated the influence of lunar cycles on financial markets. Their findings suggest:
Returns tend to be higher around the full moon compared to the new moon.
Periods between the full moon and the waning phase often show stronger average returns than the waxing phase.
This strategy combines those observations into a practical implementation by testing fixed entry (lunar day 5) and exit (lunar day 26) points, while excluding the transition period from solar New Year to Lunar New Year, effectively capturing mid-month lunar effects.
How it works
The script includes a custom lunar date calculation function, reconstructing lunar months and days for each year (2020–2026).
On lunar day 5, the strategy opens a long position with 100% of equity.
On lunar day 26, the strategy closes the position.
No trades are executed between Jan 1 and Lunar New Year’s Day.
All trades include:
Commission: 0.1%
Slippage: 3 ticks
Position sizing uses the entire equity (100%) for simplicity, but this is not recommended for live trading.
Why this is original
Unlike mashups of built-in indicators, this script:
Implements a full lunar calendar system inside Pine Script.
Translates academic findings on lunar effects into an applied backtest.
Adds a realistic trading filter (holiday gap) based on cultural/seasonal calendar rules.
Provides researchers and traders with a framework to explore non-traditional, time-based signals.
Notes
This is an experimental, research-oriented strategy, not financial advice.
Results are highly dependent on the chosen period (2020–2026).
Using 100% equity per trade is for simplification only and is not a viable money management practice.
The purpose is to investigate whether cyclical patterns linked to lunar time can provide any statistical edge in ETHUSDT.
NYC Candle Times Grid 1.2Marca las horas de apertura de las velas en los diferentes timeframes.
Marks the opening hours of the candles on the different timeframes.
Parabolic CCI Pro — Long & Short + ATR Risk — [AlphaFinansData]English Description (Enhanced)
🔹 CCI + Parabolic SAR Strategy (Long & Short, Smart Risk Management)
This indicator combines the power of CCI (Commodity Channel Index) and Parabolic SAR, creating a highly reliable trading system that adapts to market conditions.
🚀 How It Works:
Trend Hunting: CCI detects weakening momentum and potential reversal zones.
Confirmation: Parabolic SAR confirms the trend direction, reducing false signals.
Smart Risk Management: Offers both fixed-percentage and ATR-based dynamic Stop Loss & Take Profit, adjusting to volatility automatically.
Performance Dashboard: Tracks win rate, average profit/loss, max drawdown, and winning/losing streaks for deeper strategy insights.
⚡ Who Is It For?
Day traders looking for quick entries and exits,
Swing traders seeking to capture trend reversals,
Risk-conscious investors who want disciplined SL/TP management.
💡 More than just a signal generator, this indicator provides traders with a structured trading framework that helps maintain consistency and discipline.
Realized Volatility (StdDev of Returns, %)Realized Volatility (StdDev of Returns, %)
This indicator measures realized (historical) volatility by calculating the standard deviation of log returns over a user-defined lookback period. It helps traders and analysts observe how much the price has varied in the past, expressed as a percentage.
How it works:
Computes close-to-close logarithmic returns.
Calculates the standard deviation of these returns over the selected lookback window.
Provides three volatility measures:
Daily Volatility (%): Standard deviation over the chosen period.
Annualized Volatility (%): Scaled using the square root of the number of trading days per year (default = 250).
Horizon Volatility (%): Scaled to a custom horizon (default = 5 days, useful for short-term views).
Inputs:
Lookback Period: Number of bars used for volatility calculation.
Trading Days per Year: Used for annualizing volatility.
Horizon (days): Adjusts volatility to a shorter or longer time frame.
Notes:
This is a statistical measure of past volatility, not a forecasting tool.
If you change the scale to logarithmic, the indicator readibility improves.
It should be used for analysis in combination with other tools and not as a standalone signal.
Crypto Position Size CalculatorPosition Size Calculator for Crypto.
This indicator uses the current price and a selected stop loss to calculate your position size without having to work it out elsewhere!
Simply set your account size, desired risk percentage and stop loss level and it will work out how many lots and the dollar value of your desired position.
Hope you enjoy!
Calculadora de posicion)Position Size Calculator is a simple tool that helps traders instantly know how many contracts or lots to use based on their risk.
Just set your account size, risk percentage, and stop loss distance — the calculator does the rest.
Stay disciplined, control your risk, and trade with confidence.
Trojan Cycle: Dip & Profit Hunter📉 Crypto is changing. Your signals should too.
This script doesn’t try to outguess price — it helps you track capital rotation and flow behavior in alignment with the evolving macro structure of the digital asset market.
Trojan Cycle: Dip & Profit Hunter is a signal engine built to support and validate the capital rotation models outlined in the Trojan Cycle and Synthetic Rotation theses — available via RWCS_LTD’s published charts
It is not a classic “buy low, sell high” tool. It is a structural filter that uses price/volume statistics to surface accumulation zones, synthetic traps, and macro context shifts — all aligned with the institutionalization of crypto post-2024.
🧠 Purpose & Value
Crypto no longer follows the retail-led, halving-driven pattern of 2017 or 2021.
Instead, institutional infrastructure, regulatory filters, and equity-market Trojan horses define the new path of capital.
This tool helps you visualize that path by interpreting behavior through statistical imbalances and real-time momentum signals.
Use it to:
Track where capital is accumulating or exiting
Identify signals consistent with true cycle rotation (vs. synthetic traps)
Validate your macro view with real-time statistical context
🔍 How It Works
The engine combines four signal layers:
1. Z-Score Logic
- Measures how far price and volume have deviated from their mean
- Detects dips, blowoffs, and exhaustion zones
2. Percentile Logic
- Compares current price and volume to historical rank distribution
- Flags statistically rare conditions (e.g. bottom 10% price, top 90% volume)
3. Combined Context Engine
- Integrates both models to generate one of 36 unique output states
- Each state provides a labeled market context (e.g., 🟢 Confluent Buy, 🔴 Confluent Sell, 🧨 Synthetic Trap )
4. Momentum Spread & Divergence
- Measures whether price is leading volume (trap risk) or volume is leading price (accumulation)
- Outputs intuitive momentum context with emoji-coded alerts
📋 What You See
🧠 Contextual Table UI with key Z-Scores, percentiles, signals, and market commentary
🎯 Emoji-coded signals to quickly grasp high-probability setups or risk zones
🌊 Optional overlays: price/volume divergence, momentum spread
🎨 Visual table customization (size, position) and chart highlights for signal clarity
🔔 Alert System
✅ Single dynamic alert using alert() that only fires when signal context changes
Prevents alert fatigue and allows clean webhook/automation integration
🧭 Use Cases
For macro cycle traders: Track where we are in the Trojan Cycle using statistical context
For thesis explorers: Use the 36-output signal map to match against your rotation thesis
For capital rotation watchers: Identify structural setups consistent with ETF-driven or compliance-filtered flow
For narrative skeptics: Avoid synthetic altseason traps where volume lags or flow dries up
🧪 Suggested Pairing for Thesis Validation
To use this tool as part of a thesis-confirmation framework , pair it with:
BTC.D — Bitcoin Dominance
ETH/BTC — Ethereum strength vs. Bitcoin
TOTALE100/ETH — Altcoin strength relative to ETH
RWCS_LTD’s published charts and macro cycle models
🏁 Final Note
Crypto has matured. So should your signals.
This tool doesn’t try to game the next 2 candles. It helps you understand the current phase in a compliance-filtered, institutionalized rotation model.
It’s not built for hype — it’s built for conviction.
Explore the thesis → Validate the structure → Trade with clarity.
🚨 Disclaimer
This script is not financial advice. It is an analytical tool designed to support market structure research and rotation thesis validation. Use this as part of a broader framework including technical structure, dominance charts, and macro data.
ATR by Session Library [1CG]Library "ATRxSession"
This library shows you how big the bars usually are during a trading session. It looks only at the times you choose (like New York or London hours), measures the “true range” of every bar in that session, then finds the average for that session. It keeps the last N sessions and gives you their overall average, so you can quickly see how much the market typically moves per bar during your chosen session.
Call getSessionAtr(timezone, session, sessionCount) from your script, and it will return a single number: the average per-bar volatility during the chosen session, based on the last N completed sessions. This makes it easy to plug session-specific volatility into your own indicators or strategies.
getSessionAtr(_timezone, _session, _sessionCount)
getSessionAtr - Computes a session-aware ATR over completed sessions.
Parameters:
_timezone (string) : (string) - Timezone string to evaluate session timing.
_session (string) : (string) - Session time range string (e.g., "0930-1600").
_sessionCount (int) : (int) - Number of past completed sessions to include in the rolling average.
Returns: (float) - The average ATR across the last N completed sessions, or na if not enough data.
Alpha Spread Indicator Panel - [AlphaGroup.Live]Alpha Spread Indicator Panel –
This sub-panel plots the OLS spread between two assets, normalized into percent .
• Green area = spread above zero (Buy Leg1 / Sell Leg2)
• Red area = spread below zero (Sell Leg1 / Buy Leg2)
• The white line shows the exact % deviation of the spread from its fitted baseline
• Optional ±1% and ±2% guides give clear statistical thresholds
Because it’s expressed in percent relative to midprice , the scale remains consistent even if absolute prices change over years.
⚠️ Important: This panel is designed to be used together with the overlay chart:
👉 Alpha Spread Indicator Chart –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Want more institutional-grade setups? Get our 100 Trading Strategies eBook free at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Alpha Spread Indicator Chart - [AlphaGroup.Live]Alpha Spread Indicator Chart –
This overlay plots the two legs of a pair trade directly on the price chart .
• Leg1 is shown in teal
• Leg2 (fitted) is shown in orange
• The green/red filled area shows the distance (spread) between the two
The spread is calculated using OLS regression fitting , which keeps Leg2 scaled to Leg1 so the overlay always sticks to the chart’s price axis. When the fill turns green , the model suggests Buy Leg1 / Sell Leg2; when it turns red , it suggests Sell Leg1 / Buy Leg2.
Optional Z-Score bands help visualize statistical stretch from the mean.
⚠️ Important: To use this tool properly, you also need to install the companion script:
👉 Alpha Spread Indicator Panel –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Ready to take your trading further? Download our free eBook with 100 trading strategies at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Size & LeverageSize and Leverage calculator for trading, using market orders. It will calculate maximum possible leverage by default in order to prioritize capital efficiency. If you wish to use manual leverage you need to manually enter it in the settings. The script rounds both auto leverage and size to your liking. Entry price is always last price. Size is the actual size you need to input, adjusted to your leverage, cost means the margin required to open the trade. I made this indicator as a binance futures user.
AndrologQuartileAndrologQuartile
This indicator is based on the assumption that if a candle closes in the upper or lower quartile of its range, the next candle often tends to take out the high or low of that candle.
The script does two things:
It calculates and displays live statistics on how often this condition occurs and how often it is successful.
It highlights candles that meet the quartile condition so you can track them in real time.
It is most meaningful to use this indicator on higher timeframes (from 1h upwards).
You can also set an alert: once configured, the alert will always trigger for the timeframe that was active at the moment of setup.
Usage tip:
Click the statistics panel in the top right corner to adjust settings and alerts.
Adjustable parameters:
Quartiles: Default values are 25% and 75%.
Min Distance: Defines how far the high/low must be from the candle’s close (in %) to be considered relevant. A smaller value is applied automatically on intraday timeframes under 5 minutes.
Custom Support & Resistance Levels (Manual Input)This indicator lets you plot your own support levels (and can be extended for resistance) directly on the chart by entering them as comma-separated values.
📌 Supports manual input for multiple price levels.
📊 Lines are extended across the chart for clear visualization.
🎨 Dynamic coloring:
Green if the current price is above the level.
Red if the current price is below the level.
🧹 Old lines are automatically cleared to avoid clutter.
This tool is ideal if you:
Prefer to mark your own key zones instead of relying only on auto-detected levels.
Want clean and simple visualization of critical price areas.
👉 Coming soon: Resistance levels input (commented in the code, can be enabled).
VSA Highlight & Relative Strength of Volume [odnac]This is a TradingView indicator combining VSA (Volume Spread Analysis) signals with a relative strength of volume visualization.
The indicator has two main parts:
1. VSA Volume Highlight:
Detects common VSA signals, including Stopping Volume, Buying Climax, No Supply, No Demand, Test, Up-thrust, Shakeout, Demand Absorption, and Supply Absorption.
Supports a trend filter using a user-selectable moving average type (SMA, EMA, WMA, or VWMA) and length.
Calculates spread and volume moving averages to determine wide/narrow spreads and high/low volume relative to the averages.
Determines relative bar positions (close near high, close near low, or mid-close) to categorize VSA signals.
Optionally colors the background based on the detected VSA signal.
Supports alerts for each VSA signal type.
2. Relative Strength of Volume:
Splits total volume into buying and selling components based on the candle’s high, low, and close.
Buying volume is calculated as volume times the proportion of the candle’s close above the low.
Selling volume is calculated as volume times the proportion of the candle’s close below the high.
Plots buying and selling volume as colored columns in the pane.
Plots total volume in the status line colored according to the dominant side (buying or selling).
Inputs include:
Toggle visibility for each VSA signal.
Trend filter options (type and length).
Volume and spread moving average lengths and multipliers for high/low volume and wide/narrow spread detection.
Thresholds for close positions near high or low, and for identifying Buying Climax.
Opacity for VSA volume highlights.
The indicator is designed to help traders visually identify key volume patterns and analyze buying and selling pressure in the market.