Gamma Exposure Profile - Manual Chain InputA self-contained dealer-gamma calculator. Pine cannot fetch external data, so
instead of shipping stale hardcoded levels, this script takes the option
chain as USER INPUT: paste strike rows into the settings and it computes the
full gamma exposure profile on your chart — no republishing, never stale.
What makes it original: most "GEX" scripts on TradingView approximate gamma
from price or volume. This one implements the actual model — Black-Scholes
gamma per strike from open interest and implied volatility, aggregated with
the standard dealer sign convention (long call gamma, short put gamma) — and
derives the flip point by scanning where total exposure changes sign, the
same way institutional GEX tools do.
How it works:
- Input format (one paste): a header line
`#spot=24900;dte=21;mult=5;iv=0.18;date=2026-07-17`
followed by one line per strike: `strike;callOI;putOI `.
- Per strike, the script computes Black-Scholes gamma (r = 0) and the signed
dealer exposure `gamma x (callOI - putOI) x multiplier x spot² x 1%`.
- Gamma flip = the zero crossing of total exposure over a spot grid (closest
to spot); call/put walls = strikes with the largest positive / most
negative exposure; second walls dashed; expected move from ATM IV.
- A second optional text area takes a near-dated chain (e.g. 0-5 DTE) for
the short-term walls, drawn dotted — structure vs day-weather separation.
- The histogram next to price shows the signed per-strike profile; the
background colors the regime (above flip = long gamma, below = short
gamma); a date in the header enables a staleness warning after 36h.
- Alerts: flip cross up/down, put-wall break/reclaim, call-wall break.
How to use it: pull the option chain of the underlying index (your broker
platform or the exchange's public chain), paste the strike rows once per day,
and read the chart: above the flip, dealer hedging dampens moves (mean
reversion toward walls, pinning); below the flip it amplifies them (trend
days, trapdoor under the put wall). The levels are model estimates from your
own snapshot — context, not trade signals.
*This script is part of a consistent set of open-source session, range and
volume tools — the companions are on my profile.*
Indicador
StocksDeveloperAlertsLibrary "StocksDeveloperAlerts"
AutoTrader Web alert builder by Stocks Developer — turn TradingView alerts into real broker orders across many accounts and brokers. Ready-made functions for single orders, options the easy way, 8 option structures (straddle/strangle/spreads/iron condor/iron fly), custom multi-leg, account or group targeting, and your own risk limits. No alert-text typing. stocksdeveloper.in
order(symbol, exchange, producttype, tradetype, account, group, lots, quantity, ordertype, price, triggerprice, validity, amo, optiontype, strike, expiry, spothint, usespot, onslicefailure, risk, extra)
Build an alert message for a single order (stock, futures or one option leg). This is the full builder; equity() and option() are shorter wrappers over it. Set exactly one of account/group and exactly one of lots/quantity. Add optiontype to make it an option order.
Parameters:
symbol (string) : (series string) Broker-independent symbol, e.g. "NIFTY", "BANKNIFTY", "SBIN". For options, pass the underlier (e.g. "NIFTY"), not a full contract.
exchange (string) : (series string) Exchange code, e.g. "NSE"/"BSE" for stocks, "NFO" for options and futures.
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
tradetype (string) : (series string) BUY or SELL.
account (string) : (series string) Place in this single account. Set this OR group.
group (string) : (series string) Place in every live account in this group. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
ordertype (string) : (series string) MARKET (default), LIMIT, STOP_LOSS or SL_MARKET.
price (float) : (series float) Limit price (required for LIMIT).
triggerprice (float) : (series float) Trigger price (for stop-loss orders).
validity (string) : (series string) DAY (default) or IOC.
amo (bool) : (series bool) true for an after-market order.
optiontype (string) : (series string) CE for a call, PE for a put. Adding this makes it an option order.
strike (string) : (series string) ATM (default), ATM+1 / ATM-2, OTM / OTM2, ITM / ITM2, or an exact strike like "24500". Requires optiontype.
expiry (string) : (series string) weekly (default), next, monthly, or an exact date like "10-JUL-2026". Requires optiontype.
spothint (string) : (series string) Advanced: a spot price to help option-strike selection.
usespot (bool) : (series bool) Advanced: use the spot hint for strike selection.
onslicefailure (string) : (series string) Advanced: continue (default), alert or retry, if a large order that was auto-split has a slice fail.
risk (string) : (series string) A risk block from risk() — for example risk=atw.risk(maxloss=5000).
extra (string) : (series string) Advanced: any extra "key=value" lines to pass through unchanged (one per line).
Returns: (series string) The ready-to-send alert message.
equity(symbol, exchange, producttype, tradetype, account, group, lots, quantity, ordertype, price, triggerprice, validity, amo, risk, extra)
Build an alert for a single stock or futures order (no option fields). Set exactly one of account/group and exactly one of lots/quantity.
Parameters:
symbol (string) : (series string) Broker-independent symbol, e.g. "SBIN".
exchange (string) : (series string) Exchange code, e.g. "NSE" or "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
tradetype (string) : (series string) BUY or SELL.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
ordertype (string) : (series string) MARKET (default), LIMIT, STOP_LOSS or SL_MARKET.
price (float) : (series float) Limit price (required for LIMIT).
triggerprice (float) : (series float) Trigger price (for stop-loss orders).
validity (string) : (series string) DAY (default) or IOC.
amo (bool) : (series bool) true for an after-market order.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
option(symbol, exchange, producttype, tradetype, optiontype, strike, expiry, account, group, lots, quantity, ordertype, price, triggerprice, validity, amo, spothint, usespot, risk, extra)
Build an option order the easy way — give the underlier and pick the strike + expiry; no need to type the full option symbol. Set exactly one of account/group and exactly one of lots/quantity.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY", "BANKNIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
tradetype (string) : (series string) BUY or SELL.
optiontype (string) : (series string) CE for a call, PE for a put.
strike (string) : (series string) ATM (default), ATM+1 / ATM-2, OTM / OTM2, ITM / ITM2, or an exact strike like "24500".
expiry (string) : (series string) weekly (default), next, monthly, or an exact date like "10-JUL-2026".
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
ordertype (string) : (series string) MARKET (default), LIMIT, STOP_LOSS or SL_MARKET.
price (float) : (series float) Limit price (required for LIMIT).
triggerprice (float) : (series float) Trigger price (for stop-loss orders).
validity (string) : (series string) DAY (default) or IOC.
amo (bool) : (series bool) true for an after-market order.
spothint (string) : (series string) Advanced: a spot price to help strike selection.
usespot (bool) : (series bool) Advanced: use the spot hint for strike selection.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
straddle(symbol, exchange, producttype, account, group, lots, quantity, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Straddle — buy (or sell) a call and a put at the money. direction "BUY" = long straddle, "SELL" = short straddle.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) builds the structure as named; SELL flips every leg.
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue, if one leg cannot be placed.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
strangle(symbol, exchange, producttype, account, group, lots, quantity, width, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Strangle — buy (or sell) an out-of-the-money call and put, each 'width' strikes out. direction "BUY" = long strangle, "SELL" = short strangle.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
width (int) : (series int) How far out of the money the legs sit, in strike steps (default 2).
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) or SELL (flips every leg).
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
bullCall(symbol, exchange, producttype, account, group, lots, quantity, width, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Bull call spread — buy a call at the money and sell a call 'width' strikes out. Use direction "SELL" to reverse.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
width (int) : (series int) Distance between the two strikes, in strike steps (default 2).
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) or SELL (flips every leg).
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
bearPut(symbol, exchange, producttype, account, group, lots, quantity, width, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Bear put spread — buy a put at the money and sell a put 'width' strikes out. Use direction "SELL" to reverse.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
width (int) : (series int) Distance between the two strikes, in strike steps (default 2).
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) or SELL (flips every leg).
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
bullPut(symbol, exchange, producttype, account, group, lots, quantity, width, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Bull put spread (credit) — sell a put at the money and buy a put 'width' strikes out. Use direction "SELL" to reverse.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
width (int) : (series int) Distance between the two strikes, in strike steps (default 2).
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) or SELL (flips every leg).
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
bearCall(symbol, exchange, producttype, account, group, lots, quantity, width, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Bear call spread (credit) — sell a call at the money and buy a call 'width' strikes out. Use direction "SELL" to reverse.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
width (int) : (series int) Distance between the two strikes, in strike steps (default 2).
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) or SELL (flips every leg).
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
ironCondor(symbol, exchange, producttype, account, group, lots, quantity, width, wing, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Iron condor — sell a call and a put 'width' strikes out, and buy a call and a put 'width'+'wing' strikes out as protection. direction "BUY" builds this credit condor; "SELL" reverses it.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
width (int) : (series int) How far out the sold legs sit, in strike steps (default 2).
wing (int) : (series int) Extra distance out to the protective legs, in strike steps (defaults to width).
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) or SELL (flips every leg).
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
ironFly(symbol, exchange, producttype, account, group, lots, quantity, wing, expiry, direction, ordertype, price, onlegfailure, risk, extra)
Iron fly — sell a call and a put at the money, and buy a call and a put 'wing' strikes out as protection. direction "BUY" builds this credit fly; "SELL" reverses it.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
wing (int) : (series int) How far out the protective legs sit, in strike steps (default 2).
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
direction (string) : (series string) BUY (default) or SELL (flips every leg).
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
leg(optiontype, strike, tradetype, multiplier)
Build one option leg string for use with multiLeg(), e.g. atw.leg("CE", "ATM+2", "SELL", 2) -> "CE ATM+2 SELL x2".
Parameters:
optiontype (string) : (series string) CE for a call, PE for a put.
strike (string) : (series string) ATM, ATM+2, OTM2, ITM1, or an exact strike like "24500".
tradetype (string) : (series string) BUY or SELL for this leg.
multiplier (int) : (series int) Size multiplier for this leg (default 1).
Returns: (series string) The leg descriptor.
multiLeg(symbol, exchange, producttype, legs, account, group, lots, quantity, expiry, ordertype, price, onlegfailure, risk, extra)
Build an alert for a fully custom multi-leg order from a list of legs (1 to 10) made with leg(). Set exactly one of account/group and exactly one of lots/quantity.
Parameters:
symbol (string) : (series string) The underlier, e.g. "NIFTY".
exchange (string) : (series string) Options exchange code, e.g. "NFO".
producttype (string) : (series string) INTRADAY, DELIVERY, NORMAL or MTF.
legs (array) : (array) The legs, e.g. array.from(atw.leg("PE","ATM-2","SELL"), atw.leg("PE","ATM-6","BUY")).
account (string) : (series string) Single account. Set this OR group.
group (string) : (series string) Group of accounts. Set this OR account.
lots (int) : (series int) Number of lots. Set this OR quantity.
quantity (int) : (series int) Exact quantity. Set this OR lots.
expiry (string) : (series string) weekly (default), next, monthly, or an exact date.
ordertype (string) : (series string) MARKET (default) or LIMIT.
price (float) : (series float) Limit price (required for LIMIT).
onlegfailure (string) : (series string) alert (default), cancel or continue.
risk (string) : (series string) A risk block from risk().
extra (string) : (series string) Extra "key=value" lines to pass through unchanged.
Returns: (series string) The ready-to-send alert message.
riskLimits(maxloss, forceexit, entrywindow, blockExpiry)
Build a risk-limits block to attach to any order via risk=. Example: risk=atw.riskLimits(maxloss=5000). These are your own limits; see the Alert Automation guide for exactly how each one behaves.
Parameters:
maxloss (float) : (series float) Maximum day loss for the account, in your account currency.
forceexit (string) : (series string) A square-off time as "HH:mm", e.g. "15:15".
entrywindow (string) : (series string) An allowed entry-time window "HH:mm-HH:mm", e.g. "09:30-14:30".
blockExpiry (bool) : (series bool) Block new entries on the instrument's expiry day.
Returns: (series string) The risk lines, ready to pass as risk=. Biblioteca
GEX Levels Dashboard - ES/SPX/SPY Gamma ExposureDESCRIPTION (main)
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A professional framework for Gamma Exposure analysis on S&P 500 instruments.
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WHAT THIS INDICATOR DOES
This indicator visualizes key strategic levels derived from Gamma Exposure (GEX) analysis — the zones where dealer hedging flows create measurable support and resistance.
What you see:
- Call Walls — resistance zones where dealers hedge against upside
- Put Walls — support zones where dealers hedge against downside
- Zero Gamma — the structural pivot between mean-reversion and trend
- Expected Move bands — statistical range boundaries
- GEX Histogram — gamma distribution profile directly on chart
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KEY FEATURES
▸ Ticker Switcher
Select ES, SPX, or SPY directly in settings.
Data converts automatically. One script, three instruments.
▸ GEX Profile Histogram
See gamma distribution as horizontal bars on your chart.
Instantly spot where positioning clusters.
▸ Color Themes
Choose between Boreal, Classic, or Lady Trader palettes.
▸ Level Toggles
Show/hide level groups independently:
GEX Levels | System Levels | Structure Levels
▸ Rich Tooltips
Hover for details: GEX values, Call/Put ratio, Hold/Break probabilities.
▸ Flip Detection
When price crosses a level, it automatically updates role and style (solid → dashed).
▸ GEX Threshold Filter
Hide weak levels below a minimum magnitude to focus on significant zones.
▸ Smart Level Distribution
Levels are equally split above/below spot, with closest levels always protected from max limit.
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HOW TO READ THE LEVELS
Each line represents a zone where price reaction is statistically probable:
- Thick solid lines = level not yet crossed
- Dashed lines = level flipped (price crossed through)
- Cyan/Teal or Green = potential support (Put Walls)
- Pink/Red = potential resistance (Call Walls)
- Gray = structural levels (Zero Gamma, Vol Bands, PDH/PDL)
The indicator shows structure, not predictions.
Use it to identify where the market is likely to react — not which direction it will go.
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PRO TIP: CONFLUENCE
This tool is most powerful when combined with your own analysis.
Highest-probability setups occur when GEX levels align with:
Price action zones (support/resistance, order blocks)
Volume Profile (HVN/LVN, VWAP)
Technical structure (prior highs/lows, trend lines)
One level alone is information. Confluence is edge.
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ABOUT THE DATA
The script ships with a static GEX snapshot for demonstration purposes.
To update with fresh data, paste new values into the "GEX Data" input field in indicator settings.
The data format is documented in the input tooltip.
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CREDITS
Alert system contributed by @_prodigy_dev
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DISCLAIMER
This tool is for informational and educational purposes only.
It does not constitute financial advice. Trading involves significant risk.
Past structure does not guarantee future behavior.
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RELEASE NOTES (publish these one at a time after publishing)
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v6.8 (Feb 2026)
- Fixed: Levels no longer disappear when price crosses them
- Closest levels to spot are now protected from max limit
- Profile bars always visible regardless of level filters
- Thanks to bwRT for reporting the turnover bug!
v6.5 (Jan 2026)
- NEW: GEX Threshold Filter — hide weak levels below a minimum magnitude
- NEW: Custom bar color picker for GEX Profile
- Default theme renamed to "Wall Street Classic"
- Bar colors inverted: Call=Bear, Put=Bull (more intuitive)
- Structure levels (PDH/PDL/PWH/PWL) now load correctly
- Credits: Alert system by @_prodigy_dev
v6.4 (Jan 2026)
- Levels now update via copy/paste — no need to re-download
- New unified data format: L:levels|P:profile
- Max visible levels selector (5/10/15/20/25/30/All)
- Rich tooltips with GEX values, C/P ratio, Hold/Break probabilities
- Flipped level colors now reflect current role Indicador
Indicador
Indicador
Adaptive Bull Ratio Strategy█ Overview: Why This Strategy
Most option strategies fall into two traps:
They are too rigid: A "Call Ratio Spread" works great in slow markets but gets destroyed if the market rallies hard.
They are too simple: A simple "Buy Call" suffers from time decay (Theta) if the market chops sideways.
The Adaptive Bull Ratio Strategy solves both . It is a living strategy that "shifts gears" based on price action.
It is called "Adaptive" because it morphs its structure three times during a trade. It starts conservative to harvest Time Decay, but if the market explodes upwards, it "uncaps" itself to ride the trend aggressively.
█ The Entry Philosophy: Why Supertrend?
The default setting uses the Supertrend indicator as the trigger. This is intentional:
Volatility Awareness: Supertrend adapts to market noise using ATR. In high volatility, bands widen to prevent false entries.
Trend Confirmation: Since Phase 1 involves selling options, entering "too early" against a falling market is dangerous. Supertrend forces patience, waiting for a confirmed reversal (Close > Trend Line), ensuring the momentum is actually in your favor before you commit capital.
The "Drift" Benefit: This strategy excels in markets that "drift" upwards. Supertrend identifies these trends while filtering out short-term chop.
Flexibility with External Sources:
While Supertrend is the default, the strategy is designed to be flexible. You can enable the 'Enable External Source' option in the settings to plug in any custom indicator (e.g., Moving Averages, Parabolic SAR, or a proprietary trendline).
The Golden Rule for External Sources: The script interprets a Bullish Signal whenever your External Source line is below the Close price (Ext Source < Close).
Compatibility: As long as your custom indicator behaves like a support line in an uptrend (plotting below the candles), it will work seamlessly with this strategy's logic.
█ The "Long Only" Rationale: Avoiding the Volatility Trap
Why not trade this on the short side (Puts) during crashes?
The Volatility Trap (Vega Risk): In Bull markets, Implied Volatility (IV) usually drops, helping your sold options decay faster. In Bear markets, IV explodes (panic). Selling OTM Puts during a crash is dangerous as their value skyrockets, neutralizing gains.
Velocity Risk: Bear markets crash fast ("Elevator Down"). Prices can blow through adjustment levels faster than the strategy can safely roll down, causing slippage.
Structural Skew: OTM Puts are inherently more expensive. Buying expensive ITM Puts and selling expensive OTM Puts shifts the breakeven further away, making V-shape recoveries painful.
█ How It Works & Stands Out
This strategy actively transforms risk profiles based on market movement:
Phase 1: The "Safe" Start (Entry)
Setup: Initiates a Call Ratio Spread (Buy 2 ITM, Sell 4 OTM) + Protective Puts.
Logic: Profits from sideways drift or slow rallies via Time Decay (Theta). The sold options finance the trade.
Phase 2: The "Shift" (Adjustment Level 1)
Trigger: Market moves above Leg 2 (3 OTM Call).
Action: Rolls Up the position. Exits initial legs, enters new higher legs, and adds a Short Put to finance the roll.
Impact: Aggressive. You bet the trend is strong enough to support the added downside risk of the short put.
Phase 3: The "Uncap" (Adjustment Level 2)
Trigger: Market moves above Leg 3 (4 OTM Call).
Action: Exits all Sold Calls.
Impact: Uncaps profit potential. The trade becomes a Net Long position (Long Calls + Short Puts), allowing you to ride a massive rally without a ceiling.
Phase 4: The "Lock-In" (Optional Trail Adjustment)
Trigger: The market goes parabolic (price rises X levels above Leg 3, configurable in settings).
Action (If Enabled):
Call Adj: Exits the Phase 3 calls and buys fresh 1-OTM calls (Rolling Up to lock profits).
Put Adj: Exits all Put legs (Removing downside risk completely).
Impact: Maximum Safety. This phase is about "banking" the windfall from a massive rally and leaving a smaller, risk-free runner to capture any final extension.
█ How to Start: A Quick Setup Guide
Step 1: Map Expiry Dates
Manually input your trading expiry dates in Settings -> Expiry Management.
Format: YYYY-MM-DD (e.g., 2025-12-25). Strict adherence required for DhanHQ.
Step 2: Configure Symbol & Size
Exchange/Symbol: Enter NSE and NIFTY (or your ticker).
Lot Multiplier: Default is 1. Set to 2 to double all quantities (e.g., Buy 2 becomes Buy 4).
Step 3: Understand Visuals
Entry Window (Light Blue): Strategy is scanning for new trades.
Non-Entry Window (Dark Blue): Trading blocked (Day before Expiry & Expiry Day). Only management allowed.
Green Box: Valid Late Entry Zone.
Red Dashed Line: Invalidation Level (if price touches this, no late entry).
Fuchsia Line: Trigger level for Special Trail Adjustments (Phase 4).
IMPORTANT: Broker & Technology Heads-Up:
The alerts generated by this script ({"secret": "...", "alertType": "multi_leg_order"...}) are specifically formatted for the DhanHQ webhook structure.
Dhan Users: Plug-and-play.
Other Brokers: You need middleware (NextLevelBot, Quantiply) to parse the JSON.
█ Risk Disclaimer & Advice
Trading options involves substantial risk.
The Whipsaw Risk: In Phase 2, you are Long Calls and Short Puts. A sharp reversal causes losses on both sides.
Margin: Selling options requires significant margin. Keep a 15-20% cash buffer to handle adjustments instantly.
Testing: This strategy is optimized for NIFTY Weekly Options. Effectiveness on BankNifty or Stocks is untested and may require parameter tuning.
Advice:
Backtest: Use TradingView Replay.
Paper Trade: Run for at least one expiry cycle before live deployment.
Consult: Seek professional financial advice before trading.
Practical Tips for Smooth Execution
For a new trader deploying this system, these operational tips are vital:
Capital Buffer: Do not trade at your limit. Always keep 10-15% free cash in your broker account. Adjustments (specifically Phase 2, where you sell an extra Put) require additional margin instantly. If margin is short, the order fails, and your hedge breaks.
Liquidity Awareness : The script trades "Far Deep OTM" options (Leg 4) to reduce margin. On indices like Nifty/BankNifty, this is fine. On individual stocks, these deep strikes might be illiquid. Check the option chain volume before deploying on stocks.
Trust the Process (but Verify) : While the algo drives, you are the pilot.
Check your API connection every morning.
Ensure the "Entry Window" background color on the chart matches your real-world date.
Verify that your broker executed all legs of a multi-leg order (partial fills are rare but possible).
The "Human" Stop: If major news breaks (e.g., unexpected election results, war announcements), volatility can expand faster than any algo can react. It is acceptable—and smart—to pause the strategy during known "Black Swan" events or earnings releases.
█ Timeframe Selection: The 30-Minute Standard
Critical Requirement: This indicator must be applied to a 30-minute chart.
Why?
Noise Filtering: The Supertrend logic is tuned to capture multi-day trends. Lower timeframes (5m, 15m) are full of "noise"—random fluctuations that look like trend changes but aren't.
Execution Logic (The Hybrid Engine): The script has a built-in "Dual Timeframe" architecture.
Decision Layer (30m): Uses the chart timeframe to decide when to be Bullish or Bearish.
Execution Layer (5m): Internally fetches 5-minute data to manage the how (Adjustments, Late Entries, and precise invalidation).
The Risk of Lower Timeframes: If you run the main chart on 5-minutes, you destroy this hierarchy. You will get too many signals, pay too much brokerage, and the internal logic may behave erratically.
Recommendation: Always keep your TradingView chart interval at 30m. Do not switch to lower timeframes expecting "faster" signals; you will likely just get "false" signals.
█ Testing Scope, Feedback
⚠️ Important Note on Asset Classes:
This strategy logic and the associated strike step calculations have been rigorously tested ONLY on NIFTY Index Options with Weekly Expiry.
BankNifty / Sensex / FinNifty: The volatility characteristics (ATR) and strike intervals of these instruments differ significantly from NIFTY. The effectiveness of this strategy on these other scripts has not been verified and may require different parameter tuning (e.g., strike_step or ATR Length).
Stocks: Individual stock options often lack the liquidity required for the "Deep OTM" legs, leading to potential execution failures.
We encourage traders to backtest this logic on other indices and share their findings! If you find a robust parameter set for BankNifty or observe unique behaviors on other scripts, please let us know in the comments below so we can improve the algorithm for everyone. Your feedback is appriciated. Indicador
Max Pain Options [QuantLabs] v5 (Balanced)Institutional Grade Options Analysis: Max Pain, Gamma & Pin Risk
For years, TradingView users have been flying blind without access to Options Chain data. QuantLabs: Max Pain & Gamma Exposure changes that. This is not just a support/resistance indicator—it is a sophisticated, algorithmic model that reverse-engineers the incentives of Market Makers using synthetic Black-Scholes logic.
This tool visualizes the "invisible hand" of the market: the hedging requirements of large dealers who are forced to buy or sell to keep their books neutral.
CORE FEATURES:
🔴 Max Pain Gravity Model The bright red line represents the "Max Pain" strike—the price level where the maximum amount of Options Open Interest (Calls + Puts) expires worthless.
Theory: As OpEx (Expiration) approaches, Market Makers maximize profits by pinning the price to this level.
Strategy: Use this as a mean-reversion target. If price is far away, look for a snap-back to the red line.
🟣 Gamma Exposure Profiles (The Purple Lines) These neon histograms show you the estimated "Gamma Walls."
Long Gamma: Dealers trade against the trend (stabilizing price).
Short Gamma: Dealers trade with the trend (accelerating volatility).
Visual: The larger the purple bar, the harder it will be for price to break through that level.
📦 Algorithmic "Pin Risk" Zones The dashed red box highlights the "Kill Zone." When price enters this area near expiration, volatility often dies as dealers pin the asset to kill retail premiums.
Warning: Do not expect breakouts while inside the Pin Zone.
📊 Institutional HUD A clean, non-intrusive dashboard provides real-time Greeks and risk analysis:
Pin Risk: High/Medium/Low probability of a pinned close.
Exp Mode: Detects if the market is in "Short Gamma" (Squeeze territory) or "Long Gamma" (Chop territory).
HOW IT WORKS (The Math): Since live options data is not available via Pine Script, this engine uses a proprietary Synthetic OI Distribution Model. It inputs Volume, Volatility (IV), and Time-to-Expiry into a modified Black-Scholes equation to probability-map where the heavy open interest likely sits.
SETTINGS & CUSTOMIZATION:
Responsiveness: Tuned for the "Goldilocks Zone" (Spread: 12, Decay: 22) to catch local liquidity walls without over-fitting.
Visuals: Designed for Dark Mode. High-contrast Neon aesthetics for maximum readability. Indicador
Indicador
Multi Straddle-Strangle ChartThis powerful indicator is designed for options traders who want to visualize and track the combined premium of multiple straddle and strangle strategies in a single, dedicated pane.
Quickly analyze and compare up to five different options strategies at a glance, directly on your chart. This tool is perfect for monitoring volatility, tracking potential profits/losses on a position, and spotting key support and resistance levels based on option premiums.
Key Features:
Plot Up to 5 Strategies: Simultaneously plot any combination of up to 5 straddles or strangles.
Real-Time Data: Fetches live data for both Call and Put options to give you an up-to-the-second view of the combined price.
Dynamic Symbol Generation: Automatically detects the underlying symbol (e.g., NIFTY, BANKNIFTY, stocks) and builds the correct option symbols based on your input.
Customizable Inputs: Easily configure the expiry date, strike prices and line colors for each of the 5 lines.
In-Chart Summary Table: A clean and clear table in the corner of your chart provides a quick summary of each enabled strategy and its current price.
Important Note on Usage:
This tool requires you to input a strike price in all fields, even if you do not plan to use all five lines. This is necessary because of a fundamental rule in the Pine Script language: every input must have a constant, non-empty default value. The indicator is optimized to only fetch data for the lines you have explicitly enabled with the "Enable Line X" checkbox. Indicador
Volatility Cone Forecaster Lite [PhenLabs]📊 Volatility Cone Forecaster
Version: PineScript™v6
📌Description
The Volatility Cone Forecaster (VCF) is an advanced indicator designed to provide traders with a forward-looking perspective on market volatility. Instead of merely measuring past price fluctuations, the VCF analyzes historical volatility data to project a statistical “cone” that outlines a probable range for future price movements. Its core purpose is to contextualize the current market environment, helping traders to anticipate potential shifts from low to high volatility periods (and vice versa). By identifying whether volatility is expanding or contracting relative to historical norms, it solves the critical problem of preparing for significant market moves before they happen, offering a clear statistical edge in strategy development.
This indicator moves beyond lagging measures by employing percentile analysis to rank the current volatility state. This allows traders to understand not just what volatility is, but how significant it is compared to the recent past. The VCF is built for discretionary traders, system developers, and options strategists who need a sophisticated understanding of market dynamics to manage risk and identify high-probability opportunities.
🚀Points of Innovation
Forward-Looking Volatility Projection: Unlike standard indicators that only show historical data, the VCF projects a statistical cone of future volatility.
Percentile-Based Regime Analysis: Ranks current volatility against historical data (e.g., 90th, 75th percentiles) to provide objective context.
Automated Regime Detection: Automatically identifies and labels the market as being in a ‘High’, ‘Low’, or ‘Normal’ volatility regime.
Expansion & Contraction Signals: Clearly indicates whether volatility is currently increasing or decreasing, signaling shifts in market energy.
Integrated ATR Comparison: Plots an ATR-equivalent volatility measure to offer a familiar point of reference against the statistical model.
Dynamic Visual Modeling: The cone visualization directly on the price chart provides an intuitive guide for future expected price ranges.
🔧Core Components
Realized Volatility Engine: Calculates historical volatility using log returns over multiple user-defined lookback periods (short, medium, long) for a comprehensive view.
Percentile Analysis Module: A custom function calculates the 10th, 25th, 50th, 75th, and 90th percentiles of volatility over a long-term lookback (e.g., 252 days).
Forward Projection Calculator: Uses the calculated volatility percentiles to mathematically derive and draw the upper and lower bounds of the future volatility cone.
Volatility Regime Classifier: A logic-based system that compares current volatility to the historical percentile bands to classify the market state.
🔥Key Features
Customizable Lookback Periods: Adjust short, medium, and long-term lookbacks to fine-tune the indicator’s sensitivity to different market cycles.
Configurable Forward Projection: Set the number of days for the forward cone projection to align with your specific trading horizon.
Interactive Display Options: Toggle visibility for percentile labels, ATR levels, and regime coloring to customize the chart display.
Data-Rich Information Table: A clean, on-screen table displays all key metrics, including current volatility, percentile rank, regime, and trend.
Built-in Alert Conditions: Set alerts for critical events like volatility crossing the 90th percentile, dropping below the 10th, or switching between expansion and contraction.
🎨Visualization
Volatility Cone: Shaded bands projected onto the future price axis, representing the probable price range at different statistical confidence levels (e.g., 75th-90th percentile).
Color-Coded Volatility Line: The primary volatility plot dynamically changes color (e.g., red for high, green for low) to reflect the current volatility regime, providing instant context.
Historical Percentile Bands: Horizontal lines plotted across the indicator pane mark the key percentile levels, showing how current volatility compares to the past.
On-Chart Labels: Clear labels automatically display the current volatility reading, its percentile rank, the detected regime, and trend (Expanding/Contracting).
📖Usage Guidelines
Setting Categories
Short-term Lookback: Default: 10, Range: 5-50. Controls the most sensitive volatility calculation.
Medium-term Lookback: Default: 21, Range: 10-100. The primary input for the current volatility reading.
Long-term Lookback: Default: 63, Range: 30-252. Provides a baseline for long-term market character.
Percentile Lookback Period: Default: 252, Range: 100-1000. Defines the period for historical ranking; 252 represents one trading year.
Forward Projection Days: Default: 21, Range: 5-63. Determines how many bars into the future the cone is projected.
✅Best Use Cases
Breakout Trading: Identify periods of deep consolidation when volatility falls to low percentile ranks (e.g., below 25th) and begins to expand, signaling a potential breakout.
Mean Reversion Strategies: Target trades when volatility reaches extreme high percentile ranks (e.g., above 90th), as these periods are often unsustainable and lead to contraction.
Options Strategy: Use the cone’s projected upper and lower bounds to help select strike prices for strategies like iron condors or straddles.
Risk Management: Widen stop-losses and reduce position sizes when the indicator signals a transition into a ‘High’ volatility regime.
⚠️Limitations
Probabilistic, Not Predictive: The cone represents a statistical probability, not a guarantee of future price action. Extreme, unpredictable news events can drive prices outside the cone.
Lagging by Nature: All calculations are based on historical price data, meaning the indicator will always react to, not pre-empt, market changes.
Non-Directional: The indicator forecasts the *magnitude* of future moves, not the *direction*. It should be paired with a directional analysis tool.
💡What Makes This Unique
Forward Projection: Its primary distinction is projecting a data-driven, statistical forecast of future volatility, which standard oscillators do not do.
Contextual Analysis: It doesn’t just provide a number; it tells you what that number means through percentile ranking and automated regime classification.
🔬How It Works
1. Data Calculation:
The indicator first calculates the logarithmic returns of the asset’s price. It then computes the annualized standard deviation of these returns over short, medium, and long-term lookback periods to generate realized volatility readings.
2. Percentile Ranking:
Using a 252-day lookback, it analyzes the history of the medium-term volatility and determines the values that correspond to the 10th, 25th, 50th, 75th, and 90th percentiles. This builds a statistical map of the asset’s volatility behavior.
3. Cone Projection:
Finally, it takes these historical percentile values and projects them forward in time, calculating the potential upper and lower price bounds based on what would happen if volatility were to run at those levels over the next 21 days.
💡Note:
The Volatility Cone Forecaster is most effective on daily and weekly charts where statistical volatility models are more reliable. For lower timeframes, consider shortening the lookback periods. Always use this indicator as part of a comprehensive trading plan that includes other forms of analysis. Indicador
FluidFlow OscillatorFluidFlow Oscillator: Study Material for Traders
Overview
The FluidFlow Oscillator is a custom technical indicator designed to measure price momentum and market flow dynamics by simulating fluid motion concepts such as velocity, viscosity, and turbulence. It helps traders identify potential buy and sell signals along with trend strength, momentum direction, and volatility conditions.
This study explains the underlying calculation concepts, signal logic, visual cues, and how to interpret the professional dashboard table that summarizes key indicator readings.
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How the FluidFlow Oscillator Works
Core Mechanisms
1. Price Flow Velocity
o Measures the rate of change of price over a specified flow length (default 40 bars).
o Calculated as a percentage change of closing price: roc=close−closelen_flowcloselen_flow×100\text{roc} = \frac{\text{close} - \text{close}_{len\_flow}}{\text{close}_{len\_flow}} \times 100roc=closelen_flowclose−closelen_flow×100
o Smoothed by an EMA (Exponential Moving Average) to reduce noise, generating a "flow velocity" value.
2. Viscosity Factor
o Analogous to fluid viscosity, it adjusts the flow velocity based on recent price volatility.
o Volatility is computed as the standard deviation of close prices over the flow length.
o The viscosity acts as a damping factor to slow down the flow velocity in highly volatile conditions.
o This results in a "flow with viscosity" value, that smooths out the velocity considering market turbulence.
3. Turbulence Burst
o Captures sudden changes or bursts in the flow by measuring changes between successive viscosity-adjusted flows.
o The turbulence value is a smoothed absolute change in flow.
o A burst boost factor is added to the oscillator to incorporate this rapid change component, amplifying signals during sudden shifts.
4. Oscillator Calculation
o The raw oscillator value is the sum of flow with viscosity plus burst boost, scaled by 10.
o Clamped between -100 and +100 to limit extremes.
o Finally, smoothed again by EMA for cleaner visualization.
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Signal Logic
The oscillator works with complementary components to produce actionable signals:
• Signal Line: An EMA-smoothed version of the oscillator for generating crossover-based signals.
• Momentum: The rate of change of the oscillator itself, smoothed by EMA.
• Trend: Uses fast (21-period EMA) and slow (50-period EMA) moving averages of price to identify market trend direction (uptrend, downtrend, or sideways).
Signal Conditions
• Bullish Signal (Buy): Oscillator crosses above the oversold threshold with positive momentum.
• Bearish Signal (Sell): Oscillator crosses below the overbought threshold with negative momentum.
Statuses
The oscillator provides descriptive market states based on level and momentum:
• Overbought
• Oversold
• Buy Signal
• Sell Signal
• Bullish / Bearish (momentum-driven)
• Neutral (no clear trend)
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Color System and Visualization
The oscillator uses a sophisticated HSV color model adapting hues according to:
• Oscillator value magnitude and sign (positive or negative)
• Acceleration of oscillator changes
• Smooth color gradients to facilitate intuitive understanding of trend strength and momentum shifts
Background colors highlight overbought (red tint) and oversold (green tint) zones with transparency.
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How to Understand the Professional Dashboard Table
The FluidFlow Oscillator offers an integrated table at the bottom center of the chart. This dashboard summarizes critical indicator readings in 8 columns across 3 rows:
Column Description
SIGNAL Current signal status (e.g., Buy, Sell, Overbought) with color coding
OSCILLATOR Current oscillator value (-100 to +100) with color reflecting intensity and direction
MOMENTUM Momentum bias indicating strength/direction of oscillator changes (Strong Up, Up, Sideways, Down, Strong Down)
TREND Current trend status based on EMAs (Strong Uptrend, Uptrend, Sideways, Downtrend, Strong Downtrend)
VOLATILITY Volatility percentage relative to average, indicating market activity level
FLOW Flow velocity value describing price momentum magnitude and direction
TURBULENCE Turbulence level indicating sudden bursts or spikes in price movement
PROGRESS Oscillator's position mapped as a percentage (0% to 100%) showing proximity to extreme levels
Rows Explained
• Row 1 (Header): Labels for each metric.
• Row 2 (Values): Current numerical or descriptive values color-coded along a professional scheme:
o Green or lime tones indicate positive or bullish conditions.
o Red or orange tones indicate caution, sell signals, or bearish conditions.
o Blue tones indicate neutral or stable conditions.
• Row 3 (Status Indicators): Emoji-like icons and bars provide a quick visual gauge of each metric's intensity or signal strength:
o For example, "🟢🟢🟢" suggests very strong bullish momentum, while "🔴🔴🔴" suggests strong bearish momentum.
o Progress bar visually demonstrates oscillator movement toward oversold or overbought extremes.
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Practical Interpretation Tips
• A Buy signal with green colors and strong momentum usually precedes upward price moves.
• An Overbought status with red background and red table colors warns of potential price corrections or reversals.
• Watch the Turbulence to gauge market instability; spikes may precede price shocks or volatility bursts.
• Confirm signals with the Trend and Momentum columns to avoid false entries.
• Use the Progress bar to anticipate oscillations approaching key threshold levels for timing trades.
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Alerts
The oscillator supports alerts for:
• Buy and sell signals based on oscillator crossovers.
• Overbought and oversold levels reached.
These help traders automate awareness of important market conditions.
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Disclaimer
The FluidFlow Oscillator and its signals are for educational and informational purposes only. They do not guarantee profits and should not be considered as financial advice. Always conduct your own research and use proper risk management when trading. Past performance is not indicative of future results.
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This detailed explanation should help you understand the workings of the FluidFlow Oscillator, its components, signal logic, and how to analyze its professional dashboard for informed trading decisions.
Indicador
Options Volatility Strategy Analyzer [TradeDots]The Options Volatility Strategy Analyzer is a specialized tool designed to help traders assess market conditions through a detailed examination of historical volatility, market benchmarks, and percentile-based thresholds. By integrating multiple volatility metrics (including VIX and VIX9D) with color-coded regime detection, the script provides users with clear, actionable insights for selecting appropriate options strategies.
📝 HOW IT WORKS
1. Historical Volatility & Percentile Calculations
Annualized Historical Volatility (HV): The script automatically computes the asset’s historical volatility using log returns over a user-defined period. It then annualizes these values based on the chart’s timeframe, helping you understand the asset’s typical volatility profile.
Dynamic Percentile Ranks: To gauge where the current volatility level stands relative to past behavior, historical volatility values are compared against short, medium, and long lookback periods. Tracking these percentile ranks allows you to quickly see if volatility is high or low compared to historical norms.
2. Multi-Market Benchmark Comparison
VIX and VIX9D Integration: The script tracks market volatility through the VIX and VIX9D indices, comparing them to the asset’s historical volatility. This reveals whether the asset’s volatility is outpacing, lagging, or remaining in sync with broader market volatility conditions.
Market Context Analysis: A built-in term-structure check can detect market stress or relative calm by measuring how VIX compares to shorter-dated volatility (VIX9D). This helps you decide if the present environment is risk-prone or relatively stable.
3. Volatility Regime Detection
Color-Coded Background: The analyzer assigns a volatility regime (e.g., “High Asset Vol,” “Low Asset Vol,” “Outpacing Market,” etc.) based on current historical volatility percentile levels and asset vs. market ratios. A color-coded background highlights the regime, enabling traders to quickly interpret the market’s mood.
Alerts on Regime Changes & Spikes: Automated alerts warn you about any significant expansions or contractions in volatility, allowing you to react swiftly in changing conditions.
4. Strategy Forecast Table
Real-Time Strategy Suggestions: At the close of each bar, an on-chart table generates suggested options strategies (e.g., selling premium in high volatility or buying premium in low volatility). These suggestions provide a quick summary of potential tactics suited to the current regime.
Contextual Market Data: The table also displays key statistics, such as VIX levels, asset historical volatility percentile, or ratio comparisons, helping you confirm whether volatility conditions warrant more conservative or more aggressive strategies.
🛠️ HOW TO USE
1. Select Your Timeframe: The script supports multiple timeframes. For short-term trading, intraday charts often reveal faster shifts in volatility. For swing or position trading, daily or weekly charts may be more stable and produce fewer false signals.
2. Check the Volatility Regime: Observe the background color and on-chart labels to identify the current regime (e.g., “HIGH ASSET VOL,” “LOW VOL + LAGGING,” etc.).
3. Review the Forecast Table: The table suggests strategy ideas (e.g., iron condors, long straddles, ratio spreads) depending on whether volatility is elevated, subdued, or spiking. Use these as a starting point for designing trades that match your risk tolerance.
4. Combine with Additional Analysis: For optimal results, confirm signals with your broader trading plan, technical tools (moving averages, price action), and fundamental research. This script is most effective when viewed as one component in a comprehensive decision-making process.
❗️LIMITATIONS
Directional Neutrality: This indicator analyzes volatility environments but does not predict price direction (up/down). Traders must combine with directional analysis for complete strategy selection.
Late or Missed Signals: Since all calculations require a bar to close, sharp intrabar volatility moves may not appear in real-time.
False Positives in Choppy Markets: Rapid changes in percentile ranks or VIX movements can generate conflicting or premature regime shifts.
Data Sensitivity: Accuracy depends on the availability and stability of volatility data. Significant gaps or unusual market conditions may skew results.
Market Correlation Assumptions: The system assumes assets generally correlate with S&P 500 volatility patterns. May be less effective for:
Small-cap stocks with unique volatility drivers
International stocks with different market dynamics
Sector-specific events disconnected from broad market
Cryptocurrency-related assets with independent volatility patterns
RISK DISCLAIMER
Options trading involves substantial risk and is not suitable for all investors. Options strategies can result in significant losses, including the total loss of premium paid. The complexity of options strategies requires thorough understanding of the risks involved.
This indicator provides volatility analysis for educational and informational purposes only and should not be considered as investment advice. Past volatility patterns do not guarantee future performance. Market conditions can change rapidly, and volatility regimes may shift without warning.
No trading system can guarantee profits, and all trading involves the risk of loss. The indicator's regime classifications and strategy suggestions should be used as part of a comprehensive trading plan that includes proper risk management, directional analysis, and consideration of broader market conditions. Indicador
5EMA_BB_ScalpingWhat?
In this forum we have earlier published a public scanner called 5EMA BollingerBand Nifty Stock Scanner , which is getting appreciated by the community. That works on top-40 stocks of NSE as a scanner.
Whereas this time, we have come up with the similar concept as a stand-alone indicator which can be applied for any chart, for any timeframe to reap the benifit of reversal trading.
How it works?
This is essentially a reversal/divergence trading strategy, based on a widely used strategy of Power-of-Stocks 5EMA.
To know the divergence from 5-EMA we just check if the high of the candle (on closing) is below the 5-EMA. Then we check if the closing is inside the Bollinger Band (BB). That's a Buy signal. SL: low of the candle, T: middle and higher BB.
Just opposite for selling. 5-EMA low should be above 5-EMA and closing should be inside BB (lesser than BB higher level). That's a Sell signal. SL: high of the candle, T: middle and lower BB.
Along with we compare the current bar's volume with the last-20 bar VWMA (volume weighted moving average) to determine if the volume is high or low.
Present bar's volume is compared with the previous bar's volume to know if it's rising or falling.
VWAP is also determined using `ta.vwap` built-in support of TradingView.
The Bolling Band width is also notified, along with whether it is rising or falling (comparing with previous candle).
What's special?
We love this reversal trading, as it offers many benifits over trend following strategies:
Risk to Reward (RR) is superior.
It _Does Hit_ stop losses, but the stop losses are tiny.
Means, althrough the Profit Factor looks Nahh , however due to superior RR, end of day it ended up in green.
When the day is sideways, it's difficult to trade in trending strategies. This sort of volatility, reversal strategies works better.
It's always tempting to go agaist the wind. Whole world is in Put/PE and you went opposite and enter a Call/CE. And turns out profitable! That's an amazing feeling, as a trader :)
How to trade using this?
* Put any chart
* Apply this screener from Indicators (shortcut to launch indicators is just type / in your keyboard).
* It will show you the Green up arrow when buy alert comes or red down arrow when sell comes. * Also on the top right it will show the latest signal with entry, SL and target.
Disclaimer
* This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time.
* We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
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ChopFlow ATR Scalp StrategyA lean, high-velocity scalp framework for NQ and other futures that blends trend clarity, volume confirmation, and adaptive exits to give you precise, actionable signals—no cluttered bands or lagging indicators.
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🔍 Overview
This strategy locks onto rapid intraday moves by:
• Filtering for directional momentum with the Choppiness Index (CI)
• Confirming conviction via On-Balance Volume (OBV) against its moving average
• Automatically sizing stops and targets with a multiple of the Average True Range (ATR)
It’s designed for scalp traders who need clean, timely entries without wading through choppy noise.
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⚙️ Key Features & Inputs
1. ATR Length & Multiplier
• Controls exit distances based on current volatility.
2. Choppiness Length & Threshold
• Measures trend strength; only fires when the market isn’t “stuck in the mud.”
3. OBV SMA Length
• Smoothes volume flow to confirm genuine buying or selling pressure.
4. Custom Session Hours
• Avoid overnight gaps or low-liquidity periods.
All inputs are exposed for rapid tuning to your preferred scalp cadence.
🚀 How It Works
1. Long Entry triggers when:
• CI < threshold (strong trend)
• OBV > its SMA (positive volume flow)
• You’re within the defined session
2. Short Entry mirrors the above (CI < threshold, OBV < SMA)
3. Exit uses ATR × multiplier for both stop-loss and take-profit
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🎯 Usage Tips
• Start with defaults (ATR 14, multiplier 1.5; CI 14, threshold 60; OBV SMA 10).
• Monitor signal frequency, then tighten/loosen CI or OBV look-back as needed.
• Pair with a fast MA crossover or price-action trigger if you want even sharper timing.
• Backtest across different sessions (early open vs. power hours) to find your edge.
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⚠️ Disclaimer
This script is provided “as-is” for educational and research purposes. Always paper-trade any new setup extensively before deploying live capital, and adjust risk parameters to your personal tolerance.
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Elevate your scalp game with ChopFlow ATR—where trend, volume, and volatility converge for clear, confident entries. Happy scalping! Estrategia
Indicador
Options Cumulative Chart AnalysysThis Pine Script is a comprehensive tool designed for traders analyzing options data on TradingView. It aggregates multiple symbols to calculate and visualize cumulative performance, providing essential insights for decision-making.
Key Features:
Symbol and Strike Price Configuration:
Supports up to four configurable symbols (e.g., NIFTY options).
Allows defining buy/sell actions, quantities, and entry premiums for each symbol.
Customizable Chart Display:
Plot candlesticks and line charts for cumulative data.
Configurable Exponential Moving Averages (EMAs) for technical analysis.
Entry and price lines with customizable colors.
Timeframe Management:
Supports higher timeframe (HTF) candles.
Ensures compatibility with the current chart timeframe to maintain accuracy.
Dynamic Coloring and Visualization:
Red, green, and gray color schemes for body and wicks of candlesticks based on price movements.
Customizable positive and negative color schemes.
Table for Data Representation:
Displays an info table showing symbols, quantities, entry prices, and latest traded prices (LTP).
Adjustable table position, overlay, and styling.
Premium and Profit/Loss Calculations:
Calculates cumulative open, high, low, and close prices considering premiums and quantities.
Tracks the profit and loss dynamically based on cumulative premiums and market prices.
Alerts and Notifications:
Alerts triggered on specific conditions, such as when the profit/loss turns negative.
Modular Functions:
Functions for calculating high/low/open/close values, combining premiums, and drawing candlesticks.
Utilities for symbol management and security requests.
Custom Settings:
Includes a wide range of input options for customization:
Timeframes, EMA lengths, colors, table configurations, and more.
Error Handling:
Validates timeframe inputs to ensure compatibility and prevent runtime errors.
This script is designed for advanced traders looking for a customizable tool to analyze cumulative options data efficiently. By leveraging its modular design and visual elements, users can make informed trading decisions with a holistic view of market movements. Indicador
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Theta Shield | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Theta Shield indicator! Theta is the options risk factor concerning how fast there is a decline in the value of an option over time. This indicator aims to help the trader avoid sideways market phases in the current ticker, to minimize the risk of theta decay. For more information, please check the "How Does It Work" section.
Features of the new Theta Shield Indicator :
Foresight Of Accumulation Zones
Decrease Risk Of Theta Decay
Clear "Valid" & "Non-Valid" Signals
Validness Trail
Alerts
📌 HOW DOES IT WORK ?
In options trading, theta is defined as the rate of decline in the value of an option due to the passage of time. Traders want to avoid this kind of decay in the value of an option. One of the best ways to avoid it is not holding an option contract when the market is going sideways. This indicator uses a stochastic oscillator to try to get a foresight of sideways markets, warning the trader to not hold an option contract while the price is in a range.
The indicator starts by calculating the stochastic value using close, high & low prices of the candlesticks. Then a stoch threshold & a theta length are determined depending on the option contract type defined by the user in the settings of the indicator. Each candlestick that falls above or below the stoch threshold value is counted, and a "theta valid strength" is calculated using the counted candlesticks, which has a value between -100 & 100. Here is the formula of the "theta valid strength" value :
f_lin_interpolate(float x0, float x1, float y0, float y1, float x) =>
y0 + (x - x0) * (y1 - y0) / (x1 - x0)
thetaValid = Total Candlesticks That Fall Above & Below The Threshold In Last "Theta Length" bars.
thetaValidStrength = f_lin_interpolate(0, thetaLength, -100, 100, thetaValid)
Then a trail is rendered, and "Valid" & "Non-Valid" signals are given using this freshly calculated strength value. Valid means that the indicator currently thinks that no accumulation will happen in the near future, so the option positions in the current ticker are protected from the theta decay. Non-Valid means that the indicator thinks the ticker has entered the accumulation phase, so holding any option position is not recommended, as they may be affected by the theta decay.
🚩 UNIQUENESS
This indicator offers a unique way to avoid theta decay in options trading. It uses a stochastic oscillator and thresholds to calculate a "theta strength" value, which is used for rendering validness signals and a trail. Traders can follow the valid & non-valid signals when deciding to hold their options position or not. The indicator also has an alerts feature, so you can get notified when a ticker is about to enter a range, or when it's about to get out of it.
⚙️ SETTINGS
1. General Configuration
Contract Type -> You can set the option contract type here. The indicator will adjust itself to get a better foresight depending on the contract length.
2. Style
Fill Validness -> Will render a trail based on "theta strength" value. Indicador
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BetaBeta , also known as the Beta coefficient, is a measure that compares the volatility of an individual underlying or portfolio to the volatility of the entire market, typically represented by a market index like the S&P 500 or an investible product such as the SPY ETF (SPDR S&P 500 ETF Trust). A Beta value provides insight into how an asset's returns are expected to respond to market swings.
Interpretation of Beta Values
Beta = 1: The asset's volatility is in line with the market. If the market rises or falls, the asset is expected to move correspondingly.
Beta > 1: The asset is more volatile than the market. If the market rises or falls, the asset's price is expected to rise or fall more significantly.
Beta < 1 but > 0: The asset is less volatile than the market. It still moves in the same direction as the market but with less magnitude.
Beta = 0: The asset's returns are not correlated with the market's returns.
Beta < 0: The asset moves in the opposite direction to the market.
Example
A beta of 1.20 relative to the S&P 500 Index or SPY implies that if the S&P's return increases by 1%, the portfolio is expected to increase by 12.0%.
A beta of -0.10 relative to the S&P 500 Index or SPY implies that if the S&P's return increases by 1%, the portfolio is expected to decrease by 0.1%. In practical terms, this implies that the portfolio is expected to be predominantly 'market neutral' .
Calculation & Default Values
The Beta of an asset is calculated by dividing the covariance of the asset's returns with the market's returns by the variance of the market's returns over a certain period (standard period: 1 years, 250 trading days). Hint: It's noteworthy to mention that Beta can also be derived through linear regression analysis, although this technique is not employed in this Beta Indicator.
Formula: Beta = Covariance(Asset Returns, Market Returns) / Variance(Market Returns)
Reference Market: Essentially any reference market index or product can be used. The default reference is the SPY (SPDR S&P 500 ETF Trust), primarily due to its investable nature and broad representation of the market. However, it's crucial to note that Beta can also be calculated by comparing specific underlyings, such as two different stocks or commodities, instead of comparing an asset to the broader market. This flexibility allows for a more tailored analysis of volatility and correlation, depending on the user's specific trading or investment focus.
Look-back Period: The standard look-back period is typically 1-5 years (250-1250 trading days), but this can be adjusted based on the user's preference and the specifics of the trading strategy. For robust estimations, use at least 250 trading days.
Option Delta: An optional feature in the Beta Indicator is the ability to select a specific Delta value if options are written on the underlying asset with Deltas less than 1, providing an estimation of the beta-weighted delta of the position. It involves multiplying the beta of the underlying asset by the delta of the option. This addition allows for a more precise assessment of the underlying asset's correspondence with the overall market in case you are an options trader. The default Delta value is set to 1, representing scenarios where no options on the underlying asset are being analyzed. This default setting aligns with analyzing the direct relationship between the asset itself and the market, without the layer of complexity introduced by options.
Calculation: Simple or Log Returns: In the calculation of Beta, users have the option to choose between using simple returns or log returns for both the asset and the market. The default setting is 'Simple Returns'.
Advantages of Using Beta
Risk Management: Beta provides a clear metric for understanding and managing the risk of a portfolio in relation to market movements.
Portfolio Diversification: By knowing the beta of various assets, investors can create a balanced portfolio that aligns with their risk tolerance and investment goals.
Performance Benchmarking: Beta allows investors to compare an asset's risk-adjusted performance against the market or other benchmarks.
Beta-Weighted Deltas for Options Traders
For options traders, understanding the beta-weighted delta is crucial. It involves multiplying the beta of the underlying asset by the delta of the option. This provides a more nuanced view of the option's risk relative to the overall market. However, it's important to note that the delta of an option is dynamic, changing with the asset's price, time to expiration, and other factors. Indicador
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