SPY → ES 11 Levels with Labels📌 Description for SPY → ES 11-Level Converter (with Labels)
This script converts important SPY options-based levels into their equivalent ES futures prices and plots them directly on the ES chart.
Because SPY trades at a different price scale than ES, each SPY level is multiplied by a customizable ES/SPY ratio to project accurate ES levels.
It is designed for traders who use SpotGamma, GEXBot, MenthorQ, Vol-trigger levels, or their own gamma/oi/volume models.
🔍 Features
✅ Converts SPY → ES using custom or automatic ratio
Option to manually enter a ratio (recommended for accuracy)
Or automatically compute ES/SPY from live prices
✅ Plots 11 major levels on the ES chart
Each level can be individually turned ON/OFF:
Call Wall
Put Wall
Volume Trigger
Spot Price
+Gamma Level
–Gamma Level
Zero Gamma
Positive OI
Negative OI
Positive Volume
Negative Volume
All levels are drawn as clean horizontal lines using the converted ES value.
Educational
Imbalance and OB finder by CryptdozMark all imbalances and key Order Blocks - automatically eliminates OB that have been mitigated and keep only those which are still unmitigated on various Time Frames. Makes its easy to see key area where the price may swing !
rahulp33It is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, gives a general sense of the daily trend, but it's not the sole factor to consider.
ETH Upgrades: Exact Price + DateThis indicator places markers on the chart that show you the exact date and price where each Ethereum upgrade occurred.
rahulpatkiIt is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, provides a general idea of the daily trend, but it is not the only one to consider.
rahulpatkiIt is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, provides a general idea of the daily trend, but it is not the only one to consider.
NAS Ultimate Algo v2.5NAS Ultimate Algo v2.5 has following features:
1. Dynamic Trailing SL Label
2. Auto-Hide on TP Hit
3. Dynamic Take-Profit Targets (ATR-based)
4. Label Colour Customization
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
Unusual Volume//@version=5
indicator("Unusual Volume", overlay=false)
// --- Inputs ---
len = input.int(20, "Average Volume Length", minval=1)
mult = input.float(2.0, "Unusual Volume Multiplier", step=0.1)
// --- Calculations ---
avgVol = ta.sma(volume, len)
ratio = volume / avgVol
isBigVol = ratio > mult
// --- Plots ---
plot(volume, "Volume", style=plot.style_columns,
color = isBigVol ? color.new(color.green, 0) : color.new(color.gray, 60))
plot(avgVol, "Average Volume", color=color.orange)
// Mark unusual volume bars
plotshape(isBigVol, title="Unusual Volume Marker",
location=location.bottom, style=shape.triangleup,
color=color.green, size=size.tiny, text="UV")
// Optional: show ratio in Data Window
var label ratioLabel = na
Unusual Volume//@version=5
indicator("Unusual Volume", overlay=false)
// --- Inputs ---
len = input.int(20, "Average Volume Length", minval=1)
mult = input.float(2.0, "Unusual Volume Multiplier", step=0.1)
// --- Calculations ---
avgVol = ta.sma(volume, len)
ratio = volume / avgVol
isBigVol = ratio > mult
// --- Plots ---
plot(volume, "Volume", style=plot.style_columns,
color = isBigVol ? color.new(color.green, 0) : color.new(color.gray, 60))
plot(avgVol, "Average Volume", color=color.orange)
// Mark unusual volume bars
plotshape(isBigVol, title="Unusual Volume Marker",
location=location.bottom, style=shape.triangleup,
color=color.green, size=size.tiny, text="UV")
// Optional: show ratio in Data Window
var label ratioLabel = na
Buy vs Sell Volume//@version=5
indicator("Buy vs Sell Volume", overlay=false)
buyVol = close > open ? volume : 0
sellVol = close < open ? volume : 0
plot(buyVol, "Buy Volume", color=color.green)
plot(sellVol, "Sell Volume", color=color.red)
Minervini VCP Pattern -Indian ContextThis script implements Mark Minervini's Trend Template and VCP (Volatility Contraction Pattern) pattern, specifically adapted for Indian stock markets (NSE). It helps identify stocks that are in strong uptrends and ready to break out.
Core Concepts Explained
1. What is the Minervini Trend Template?
Mark Minervini's method identifies stocks in Stage 2 uptrends - the sweet spot where institutional money is accumulating and stocks show the strongest momentum. Think of it as finding stocks that are "leaders" rather than "laggards."
2. What is VCP (Volatility Contraction Pattern)?
A VCP occurs when:
Stock price consolidates (moves sideways) after an uptrend
Price swings get tighter and tighter (like a coiled spring)
Volume dries up (fewer people trading)
Then it breaks out with force.
You can customize the strategy settings without editing code.
Key Settings:
Minimum Price (₹50): Filters out penny stocks that are too volatile
Min Distance from 52W Low (30%): Stock should be at least 30% above its yearly low
Max Distance from 52W High (25%): Stock should be within 25% of its yearly high (showing strength)
Moving Average Periods: 10, 50, 150, 200 days (industry standard)
Minimum Volume (100,000 shares): Ensures the stock is liquid enough to trade
Indian Market Adaptation: The default values (₹50 minimum, volume thresholds) are adjusted for NSE stocks, which behave differently than US markets.
The script pulls weekly chart data even when you're viewing daily charts.
Why it matters: Weekly trends are more reliable than daily noise. Professional traders use weekly charts to confirm the bigger picture.
What are Moving Averages (MAs)?
Simple averages of closing prices over X days
They smooth out price action to show trends
Think of them as the "average cost" of buyers over different time periods
The 4 Key MAs:
10 MA (Fast): Very short-term trend
50 MA: Short to medium-term trend
150 MA: Medium to long-term trend
200 MA: Long-term trend (the "grandfather" of all MAs)
Why Weekly MAs?
The script also calculates 10 and 50 MAs on weekly data for additional confirmation of the bigger trend.
The script Finds the highest and lowest prices over the past 52 weeks (1 year).
Why it matters:
Stocks near 52-week highs are showing strength (institutions buying)
Stocks far from 52-week lows have "room to run" upward
This is a psychological level that influences trader behaviour.
What is Volume here ?
The number of shares traded each day
High volume = many traders interested (conviction)
Low volume = lack of interest (weakness or consolidation)
Volume in VCP:
During consolidation (sideways movement), volume should dry up - this shows sellers are exhausted and buyers are holding. When volume spikes on a breakout, it confirms the move.
NSE Context: Indian stocks often have different volume patterns than US stocks, so the 50-day average is used as a baseline.
Relative Strength vs Nifty:
Example:
If your stock is up 20% and Nifty is up 10%, your stock has strong RS
If your stock is up 5% and Nifty is up 15%, your stock has weak RS (avoid it!)
Why it matters: The best performing stocks almost always have strong relative strength before major moves.
The 13 Minervini Conditions:-
Condition 1: Price > 50/150/200 MA
Meaning: Current price must be above ALL three major moving averages.
Why: This confirms the stock is in a clear uptrend. If price is below these MAs, the stock is weak or in a downtrend.
Condition 2: MA 50 > 150 > 200
Meaning: The moving averages themselves must be in proper order.
Analogy: Think of this like layers in a cake - short-term on top, long-term at bottom. If they're tangled, the trend is unclear.
Condition 3: 200 MA Rising (1 Month)
Meaning: The 200 MA today must be higher than it was 20 days ago.
Why: This confirms the long-term trend is UP, not flat or down. The means "20 bars ago."
Condition 4: 50 MA Rising
Meaning: The 50 MA today must be higher than 5 days ago.
Why: Confirms short-term momentum is accelerating upward.
Condition 5: Within 25% of 52-Week High
Meaning: Current price should be within 25% of its 1-year high.
Example:
52-week high = ₹1000
Current price must be above ₹750 (within 25%)
Why: Strong stocks stay near their highs. Weak stocks fall far from highs.
Condition 6: 30%+ Above 52-Week Low (OPTIONAL)
Meaning: Stock should be at least 30% above its yearly low.
Note: The script marks this as "SECONDARY - Optional" because the other conditions are more important. However, it's still a good confirmation.
Condition 7: Price > 10 MA
Meaning: Very short-term strength - price above the 10-day moving average.
Why: Ensures the stock hasn't just rolled over in the immediate term.
Condition 8: Price >= ₹50
Meaning: Filters out stocks below ₹50.
Why: In Indian markets, stocks below ₹50 tend to be penny stocks with poor liquidity and higher manipulation risk.
Condition 9: Weekly Uptrend
Meaning: On the weekly chart, price must be above both weekly MAs, and they must be properly aligned.
Why: Confirms the bigger picture trend, not just daily fluctuations.
Condition 10: 150 MA Rising
Meaning: The 150 MA is trending upward over the past 10 days.
Why: Another confirmation of medium-term trend health.
Condition 11: Sufficient Volume
Meaning: Average volume must exceed 100,000 shares (or your custom setting).
Why: Ensures you can actually buy/sell the stock without moving the price too much (liquidity).
Condition 12: RS vs Nifty Strong
Meaning: The stock's relative strength vs Nifty must be improving.
Why: You want stocks that are outperforming the market, not underperforming.
Condition 13: Nifty in Uptrend
Meaning: The Nifty 50 index itself must be above its 50 MA.
Why: "A rising tide lifts all boats." It's easier to make money in individual stocks when the overall market is bullish.
VCP Requirements:
Volatility Contracting: Price swings getting tighter (coiling spring)
Volume Drying Up: Fewer shares trading + trending lower
The Setup: When volatility contracts and volume dries up WHILE all 13 trend conditions are met, you have a VCP setup ready to explode.
What You See on Chart:
Colored Lines: 10 MA (green), 50 MA (blue), 150 MA (orange), 200 MA (red)
Blue Background: Trend template conditions met (watch zone)
Green Background: Full VCP setup detected (buy zone)
↟ Symbol Below Price: New VCP buy signal just triggered
Information Table:
What it does: Creates a checklist table on your chart showing the status of all conditions.
Table Structure:
Column 1: Condition name
Column 2: Status (✓ green = met, ✗ red = not met)
Final Row: Shows "BUY" (green) or "WAIT" (red) based on full VCP setup status.
Dos:
Example:
Account size: ₹5,00,000
Risk per trade: 1% = ₹5,000
Entry: ₹1000
Stop loss: ₹920 (8% below)
Distance to stop: ₹80
Shares to buy: ₹5,000 / ₹80 = 62 shares
Exit Strategy:
Sell 1/3 at +20% profit
Sell another 1/3 at +40% profit
Let the final 1/3 run with a trailing stop
Always exit if price closes below 10 MA on heavy volume
What This Script Does NOT Do:
Guarantee profits - No strategy works 100% of the time
Account for news events - Earnings, regulatory changes, etc.
Consider fundamentals - Company financials, debt, management quality
Adapt to market crashes - Works best in bull markets
Best Market Conditions:
✅ Nifty in uptrend (above 50 MA)
✅ Market breadth positive (more stocks advancing)
✅ Sector rotation happening
❌ Avoid in bear markets or high volatility periods
References:
Trade Like a Stock Market Wizard by Mark Minervini
Think & Trade Like a Champion by Mark Minervini
Chart attached: AU Small Finance Bank as on EoD dated 28/11/25
This script is a powerful tool for educational purpose only, remember: It's a tool, not a crystal ball. Use it to find high-probability setups, then apply proper risk management and patience. Good luck!
Prev/Current Day Open & Close (RamtinFX)Draws three transparent vertical lines marking the previous day’s close, the current day’s open, and the current day’s close.
RSI Screener TF + HTF (20 symbols, S/R + $Volume + ATR, Toggles)This script builds a table-style screener for up to 20 symbols and shows:
RSI (TF + HTF)
Uses a configurable intraday timeframe (default 1H) and a higher timeframe (default 1D)
RSI is displayed relative to the 50 line:
Above 50 → shown as a positive value (e.g. 56)
Below 50 → shown as a negative value (e.g. -45)
Cells are color-coded for overbought / oversold / neutral
Support / Resistance Proximity (TF + HTF)
Calculates recent support and resistance using a lookback window
Shows a 0–100% “S&R” value:
100% = price sitting on support
0% = price sitting at resistance
Mid values are neutral
Background color shifts for support zone / resistance zone / neutral
ATR % Regime (TF + HTF)
Converts ATR into a percentage of price
Colors the cell to show low / normal / high volatility regimes (quiet vs explosive conditions)
Dollar Volume (TF)
Uses close × volume and displays dollar volume in millions ($M)
Heat-colored based on relative volume vs its own average (hot / neutral / cold)
Sorting & Layout
Table can be sorted by:
RSI TF, RSI HTF
S&R TF, S&R HTF
ATR TF, ATR HTF
Volume TF
Sort direction: Ascending / Descending
Option to show full mode (Symbol + Price + all metrics) or compact mode (metrics only)
All columns (RSI, S&R, ATR, Volume, HTF columns) can be toggled on/off per your needs
Customization
Fully configurable colors, text size, table position (left/center/right)
User can adjust the RSI period, S/R lookback, ATR period, volume lookback and thresholds
Default setup is optimized for 1H + 1D swing/active trading, but timeframes are editable
This tool is meant as a dashboard to quickly see:
Which names have bullish vs bearish RSI regimes (signed vs 50)
Which ones are sitting on support or resistance
Where volatility is contracting or expanding
Where money/volume is flowing right now.
SupernovaWebSupernova is a trend-following indicator designed to identify potential entry and exit points. It displays key levels including point of interest, invalidation, and multiple take profit targets
Average Volume LabelAverage Volume Label Indicator
This TradingView Pine Script creates a customizable label that displays the average trading volume over a specified period directly on your price chart.
Core Functionality:
Calculates the simple moving average (SMA) of volume over a user-defined number of days (default: 20 days)
Displays this average in a positioned label at the top of the chart
The label shows text like "20-Day Avg Volume: 1.2M" with automatic volume formatting
Key Customization Options:
Volume Calculation:
Adjustable lookback period (1-200 days) for the volume average
Label Appearance:
Text color, background color, and transparency controls
Five size options (Tiny to Huge)
Configurable horizontal position (how many bars back from the current bar to place the label)
Technical Implementation:
Updates only on the most recent bar to optimize performance
Positions the label at the highest price point within the visible range for consistent top-of-chart placement
Includes safety checks to prevent runtime errors with lookback periods
Also plots the average volume data (visible in the data window for reference)
This indicator is useful for traders who want to quickly assess whether current volume is above or below the recent average without cluttering their chart with additional panes.
Weekly Future and ZoneDescription
🔹This multi-tool indicator plots Best-Strike–based R/S levels, BEP zones, Panic zones, Synthetic Future High/Low, Previous Day OHLC, Daily Open, CPR (Daily/Weekly), and key EMAs.
Designed for option writers, index traders, and intraday traders who want all major reference levels in one place.
🔹Includes toggles for every module, auto-cleaned drawing objects, CPR box shading, customizable MAs, and optimized last-bar rendering.
Best Strike : CE/PE Close price which is near.
Need Input CE/PE High, Low, Close Price
💡 Key Features:
Best-strike derived R1, R2, S1, S2
BEP (Break-even) Levels
Panic Zones for directional risk
Synthetic Future High/Low using CE/PE premium imbalance
Previous Day OHLC for intraday structure mapping
Daily Session Open
CPR (Daily/Weekly) + automatic CPR zone shading
EMA Trend Pack + customizable SMA/EMA/WMA/VWMA
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not provide trading advice or buy/sell signals.
Use responsibly and in conjunction with your market analysis.
MYPYBiTE.com – Cloud + VWAPFor Bitcoin we found that the 3 day chart consistently indicates a pattern that anyone can back test and determine the trend confirmation is broken. Of course we won't tell you here what it is because you have to do the work or be familiar with the communities I participate in.
We decided to make this available because we realized many folks do not incorporate cloud charting. This is to help noobies and we hope to incorporate other factors in time.
RSI Regimes + Cardwell Sweet SpotsRSI based upon Cardwell principles, with a strength evaluation based upon the ADX, VWAP, velocity of both, and Cardwell RSI principles of a sweet spot of a RSI.
Candle Identification + Cardwell Strength (w/ Slope Velocity)Identifies candle patterns pin bar, inside bar, outside bar, and shaved bars. The script also indicates the strength of the candle formation based upon Cardwell RSI principles, ADX, and price in relation to the VWAP.
The settings are available to the user to adjust for there specific style of trading.
