WHAlertCommandLibrary "WHAlertCommand"
f_WH_Risk(risk_Type_)
Parameters:
risk_Type_ (string)
f_WH_Open_Position(uuid_, enable_Buy_, enable_Sell, enable_All_Group_Members_, enable_Close_Opposite_Side_, enable_Risk_, risk_Type_, signal_Type_Buy_Or_Sell)
Parameters:
uuid_ (string)
enable_Buy_ (bool)
enable_Sell (bool)
enable_All_Group_Members_ (bool)
enable_Close_Opposite_Side_ (bool)
enable_Risk_ (bool)
risk_Type_ (string)
signal_Type_Buy_Or_Sell (string)
f_WH_TP(uuid_, position_Size_Percent_, side_)
Parameters:
uuid_ (string)
position_Size_Percent_ (float)
side_ (string)
f_WH_MARKET_CLOSE(uuid_, side_)
Parameters:
uuid_ (string)
side_ (string)
Tìm kiếm tập lệnh với "alert"
FinandyHookLibLibrary "FinandyHookLib"
TODO: add library description here
createOrderJson(model, hook_secret, options)
Parameters:
model (orderModel type from Hamster-Coder/OrderLib/7)
hook_secret (string)
options (textFormatOptions)
textFormatOptions
Fields:
price_format (series__string)
percent_format (series__string)
SAT_BACKTEST @description TODO: Regroupement of useful functionsLibrary "SAT_BACKTEST"
ex_timezone(tz)
switch case return exact @timezone for timezone input
Parameters:
tz (simple string)
Returns: syminfo.timezone or tz
if_in_date_range(usefromDate, fromDate, usetoDate, toDate, src_timezone, dst_timezone)
if_in_date_range : check if @time_close is range
Parameters:
usefromDate (simple bool)
fromDate (simple int)
usetoDate (simple bool)
toDate (simple int)
src_timezone (simple string)
dst_timezone (simple string)
Returns: true if @time_close is range
if_in_session(useSessionStart, sessionStartHour, sessionStartMinute, useSessionEnd, sessionEndHour, sessionEndMinute, useSessionDay, mon, tue, wed, thu, fri, sat, sun, src_timezone, dst_timezone)
if_in_session : check if @time_close is range
Parameters:
useSessionStart (simple bool)
sessionStartHour (simple int)
sessionStartMinute (simple int)
useSessionEnd (simple bool)
sessionEndHour (simple int)
sessionEndMinute (simple int)
useSessionDay (simple bool)
mon (simple bool)
tue (simple bool)
wed (simple bool)
thu (simple bool)
fri (simple bool)
sat (simple bool)
sun (simple bool)
src_timezone (simple string)
dst_timezone (simple string)
Returns: true if @time_close is range
jsonLibrary "json"
JSON Easy Object Create/stringiffy
Functions to add/write JSON
new (name , kind) -> object
set (_item , _obj , _key ) -> key index for parent object's array
add (_obj , _key , _item ) -> key index for parent object's array
write (object , kind ) -> stringified object // (enter kind to cut off key )
============================================
obj
obj Object storage container/item
Fields:
key : (string ) item name
kind : (string ) item's type(for writing)
item : (string ) item (converted to string)
keys : (string ) keys of all sub-items and objects
items : (obj ) nested obj off individual subitems (for later...)
============================================
new(_name, _kind)
create multitype object
Parameters:
_name : (string) Name off object
_kind : (string) Preset Type (_OBJECT if a container item)
Returns: object container/item 2-in-1
============================================
add(_item, _obj, _key)
Set item to object obj item (same as set, prep for future Pine methods)
Parameters:
_item : ( int / float / bool / string )
_obj : (obj multi-type-item object)
_key : ( string )
set(_item, _obj, _key)
Set item to object obj item (same as add, prep for future Pine methods)
Parameters:
_item : ( int / float / bool / string )
_obj : (obj multi-type-item object)
_key : ( string )
addstore(_parent, _child)
Add a object as a subobject to storage (Future upgrade to write/edit)
Parameters:
_parent : to insert obj into
_child : to be inserted
setstore(_child, _parent)
Add a object as a subobject to storage (Future upgrade to write/edit)
Parameters:
_child : to be inserted
_parent : to insert obj into
add(_parent, _child)
Add a object as a string rendered item
Parameters:
_parent : to insert obj into
_child : to be inserted
set(_child, _parent)
Add a object as a string rendered item
Parameters:
_child : to be inserted
_parent : to insert obj into
============================================
write(_object, _key, _itemname)
Write object to string Object
Parameters:
_object : (obj)
_key : (array<(string/int)> )/(string)
_itemname : (string)
Returns: stringified flattened object.
clean_output(_str)
Clean JSON final output
Parameters:
_str : string json item
Returns: cleaned string
libcompressLibrary "libcompress"
numbers compressor for large output data compression
compress_fp24()
converts float to base64 (4 chars) | 24 bits: 1 sign + 5 exponent + 18 mantissa
Returns: 4-character base64_1/5/18 representation of x
compress_ufp18()
converts unsigned float to base64 (3 chars) | 18 bits: 5 exponent + 13 mantissa
Returns: 3-character base64_0/5/13 representation of x
compress_int()
converts int to base64
PineHelperLibrary "PineHelper"
This library provides various functions to reduce your time.
recent_opentrade_entry_bar_index()
get a recent opentrade entry bar_index
Returns: (int) bar_index
recent_closedtrade_entry_bar_index()
get a recent closedtrade entry bar_index
Returns: (int) bar_index
recent_closedtrade_exit_bar_index()
get a recent closedtrade exit bar_index
Returns: (int) bar_index
all_opnetrades_roi()
get all aopentrades roi
Returns: (float) roi
bars_since_recent_opentrade_entry()
get bars since recent opentrade entry
Returns: (int) number of bars
bars_since_recent_closedtrade_entry()
get bars since recent closedtrade entry
Returns: (int) number of bars
bars_since_recent_closedtrade_exit()
get bars since recent closedtrade exit
Returns: (int) number of bars
recent_opentrade_entry_id()
get recent opentrade entry ID
Returns: (string) entry ID
recent_closedtrade_entry_id()
get recent closedtrade entry ID
Returns: (string) entry ID
recent_closedtrade_exit_id()
get recent closedtrade exit ID
Returns: (string) exit ID
recent_opentrade_entry_price()
get recent opentrade entry price
Returns: (float) price
recent_closedtrade_entry_price()
get recent closedtrade entry price
Returns: (float) price
recent_closedtrade_exit_price()
get recent closedtrade exit price
Returns: (float) price
recent_opentrade_entry_time()
get recent opentrade entry time
Returns: (int) time
recent_closedtrade_entry_time()
get recent closedtrade entry time
Returns: (int) time
recent_closedtrade_exit_time()
get recent closedtrade exit time
Returns: (int) time
time_since_recent_opentrade_entry()
get time since recent opentrade entry
Returns: (int) time
time_since_recent_closedtrade_entry()
get time since recent closedtrade entry
Returns: (int) time
time_since_recent_closedtrade_exit()
get time since recent closedtrade exit
Returns: (int) time
recent_opentrade_size()
get recent opentrade size
Returns: (float) size
recent_closedtrade_size()
get recent closedtrade size
Returns: (float) size
all_opentrades_size()
get all opentrades size
Returns: (float) size
recent_opentrade_profit()
get recent opentrade profit
Returns: (float) profit
all_opentrades_profit()
get all opentrades profit
Returns: (float) profit
recent_closedtrade_profit()
get recent closedtrade profit
Returns: (float) profit
recent_opentrade_max_runup()
get recent opentrade max runup
Returns: (float) runup
recent_closedtrade_max_runup()
get recent closedtrade max runup
Returns: (float) runup
recent_opentrade_max_drawdown()
get recent opentrade maxdrawdown
Returns: (float) mdd
recent_closedtrade_max_drawdown()
get recent closedtrade maxdrawdown
Returns: (float) mdd
max_open_trades_drawdown()
get max open trades drawdown
Returns: (float) mdd
recent_opentrade_commission()
get recent opentrade commission
Returns: (float) commission
recent_closedtrade_commission()
get recent closedtrade commission
Returns: (float) commission
qty_by_percent_of_equity(percent)
get qty by percent of equtiy
Parameters:
percent : (series float) percent that you want to set
Returns: (float) quantity
qty_by_percent_of_position_size(percent)
get size by percent of position size
Parameters:
percent : (series float) percent that you want to set
Returns: (float) size
is_day_change()
get bool change of day
Returns: (bool) day is change or not
is_in_trade()
get bool using number of bars
Returns: (bool) allowedToTrade
discord_message(name, message)
get json format discord message
Parameters:
name : (string) name of bot
message : (string) message that you want to send
Returns: (string) json format string
telegram_message(chat_id, message)
get json format telegram message
Parameters:
chat_id : (string) chatId of bot
message : (string) message that you want to send
Returns: (string) json format string
Binance_Min_Limit_Order_amount_libraryLibrary "Binance_Min_Limit_Order_amount_library"
TODO: This library give us the minimum Limit Order amount for the contract in Binance.
m_qty(n_v, m_fee, t_fee, cost, m_t)
TODO: it give us the Minimum Qty for the trading in Binance
Parameters:
n_v : TODO: min_notional_value. 5 dollar is the minimum notional amount in Binance at the moment.
m_fee : TODO: maker_fee %
t_fee : TODO: taker_fee %
cost : TODO: your investing money
m_t : TODO: if you want Limit_Order, put the "T", if you want Market_Order, put the "M" defval="M"
Returns: TODO: for the coin of binance on your chart,
Reference: www.binance.com
LevelsManagerLibrary "LevelsManager"
TODO: Track up to 6 TakeProfits and 1 StopLoss achievement for one or many of your buy/sell conditions.
manageTrade(bool, bool, bool, string, string, float, float, bool, bool, bool, bool, bool, bool, float, float, float, float, float, float, float)
Track TakeProfits and StopLoss achievement for one or many of your buy/sell conditions. CHECK the commented section: "Function @manageTrade" for Description
Parameters:
bool : useSignal.
bool : b_gameOVer.
bool : b_gameOVer.
string : bName.
string : sName.
float : buyEntrySource.
float : sellEntrySource.
bool : useTp1.
bool : useTp2.
bool : useTp3.
bool : useTp4.
bool : useTp5.
bool : useTp6.
float : tp1x.
float : tp2x.
float : tp3x.
float : tp4x.
float : tp5x.
float : tp6x.
float : slx.
Returns: check commented section: "Function @manageTrade".
showOnlyFirstOccurence(booleanInput)
Single out the occurence of a bool series between to 2 bool series.
Parameters:
booleanInput : to activate or deactivate occurences filtering.
Returns: filterred or not bool series.
RouterOrdersIronLibrary "RouterOrdersIron"
Library for routing orders to the Binance exchange.
MsgDoLongMKT(id, symbol, balance)
Returns json for Iron to buy a symbol for the amount of the balance with market order.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoShortMKT(id, symbol, balance)
Returns json for Iron to sell a symbol for the amount of the balance with market order.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoLongLR(id, symbol, balance)
Returns json for Iron to buy a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoShortLR(id, symbol, balance)
Returns json for Iron to sell a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoLongMKT(id, symbol, balance)
Buy a symbol for the amount of the balance. It is send market order to Iron.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoShortMKT(id, symbol, balance)
Sell a symbol for the amount of the balance. It is send market order to Iron.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoLongLR(id, symbol, balance)
Buy a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoShortLR(id, symbol, balance)
Sell a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
GetQty(price, balance)
Get Qty for strategy on balance
Parameters:
price : Order price
balance : The amount for which to carry out the transaction.
Returns: Qty for strategy order TV
TradingHookLibrary "TradingHook"
This library is a client script for making a webhook signal formatted string to TradingHook webhook server.
buy_message(password, amount, order_name) Make a buy Message for TradingHook.
Parameters:
password : (string) password that you set in .env file.
amount : (float) amount. If not set, your strategy qty will be sent.
order_name : (string) order_name. The default name is "Order".
Returns: (string) A string containing the formatted webhook message.
sell_message(password, percent, order_name) Make a sell message for TradingHook.
Parameters:
password : (string) password that you set in .env file.
percent : (string) what percentage of your quantity you want to sell.
order_name : (string) order_name. The default name is "Order".
Returns: (string) A string containing the formatted webhook message.
You can use TradingHook WebServer open source code in github(github.com)
Timed_exit_alert_for_webhookLibrary "Timed_exit_alert_for_webhook"
TODO: add library description here
fun(x) TODO: add function description here
Parameters:
x : TODO: add parameter x description here
Returns: TODO: add what function returns
for exiting FCM like Tradovate and AMP using API and python MT5 and Webhooks
the writer take no responsibility for trades made using this script its written for informational purposes only
MakeLoveNotWarLibrary "MakeLoveNotWar"
Make Love Not War, place a flag of support on your chart!
flag(pos, text_size) Make Love Not War function.
Parameters:
pos : string, position.
text_size : string, text size.
Returns: table.
The Divergent LibraryLibrary "TheDivergentLibrary"
The Divergent Library is only useful when combined with the Pro version of The Divergent - Advanced divergence indicator . This is because the Basic (free) version of The Divergent does not expose the "Divergence Signal" value.
Usage instructions:
1. Create a new chart
2. Add The Divergent (Pro) indicator to your chart
3. Create a new strategy, import this library, add a "source" input, link it to "The Divergent: Divergence Signal", and use the library to decode the divergence signals from The Divergent (You can find example strategy code published in our profile)
4. Act on the divergences signalled by The Divergent
---
isRegularBullishEnabled(context) Returns a boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
isHiddenBullishEnabled(context) Returns a boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
isRegularBearishEnabled(context) Returns a boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
isHiddenBearishEnabled(context) Returns a boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
getPivotDetectionSource(context) Returns the 'Pivot Detection Source' setting of The Divergent. The returned value can be either "Oscillator" or "Price".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Oscillator" or "Price".
getPivotDetectionMode(context) Returns the 'Pivot Detection Mode' setting of The Divergent. The returned value can be either "Bodies" or "Wicks".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Bodies" or "Wicks".
isLinked(context) Returns a boolean value indicating the link status to The Divergent indicator.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating the link status to The Divergent indicator.
init(firstBarSignal, displayLinkStatus, debug) Initialises The Divergent Library's context with the signal produced by The Divergent on the first bar. The value returned from this function is called the "context of The Divergent Library". Some of the other functions of this library requires you to pass in this context.
Parameters:
firstBarSignal : The signal from The Divergent indicator on the first bar.
displayLinkStatus : A boolean value indicating whether the Link Status window should be displayed in the bottom left corner of the chart. Defaults to true.
debug : A boolean value indicating whether the Link Status window should display debug information. Defaults to false.
Returns: A bool array containing the context of The Divergent Library.
processSignal(signal) Processes a signal from The Divergent and returns a 5-tuple with the decoded signal: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd]. `divergenceType` can be one of the following values: na → No divergence was detected, 1 → Regular Bullish, 2 → Regular Bullish early, 3 → Hidden Bullish, 4 → Hidden Bullish early, 5 → Regular Bearish, 6 → Regular Bearish early, 7 → Hidden Bearish, 8 → Hidden Bearish early.
Parameters:
signal : The signal from The Divergent indicator.
Returns: A 5-tuple with the following values: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd].
DiscordWebhookFunctionLibrary "DiscordWebhookFunction"
discordMarkdown(_str, _italic, _bold, _code, _strike, _under) Convert string to markdown formatting User can combine any function at the same time.
Parameters:
_str : String input
_italic : Italic
_bold : Bold
_code : Code markdown
_strike : Strikethrough
_under : Underline
Returns: string Markdown formatted string.
discordWebhookJSON(_username, _avatarImgUrl, _contentText, _bodyTitle, _descText, _bodyUrl, _embedCol, _timestamp, _authorName, _authorUrl, _authorIconUrl, _footerText, _footerIconUrl, _thumbImgUrl, _imageUrl) Convert data to JSON format for Discord Webhook Integration.
Parameters:
_username : Override bot (webhook) username string / name,
_avatarImgUrl : Override bot (webhook) avatar by image URL,
_contentText : Main content page message,
_bodyTitle : Custom Webhook's embed message body title,
_descText : Webhook's embed message body description,
_bodyUrl : Webhook's embed body direct link URL,
_embedCol : Webhook's embed color,
_timestamp : Timestamp,
_authorName : Webhook's embed author name / title,
_authorUrl : Webhook's embed author direct link URL,
_authorIconUrl : Webhook's embed author icon by image URL,
_footerText : Webhook's embed footer text / title,
_footerIconUrl : Webhook's embed footer icon by image URL,
_thumbImgUrl : Webhook's embed thumbnail image URL,
_imageUrl : Webhook's embed body image URL.
Returns: string Single-line JSON format
[ALERTS] MA Cross HildiIch habe nur einige Modifikationen vorgenommen, so dass es meinen Bedürfnissen gerecht wird. Das Skript dient lediglich dazu die gleiche Einstellungen auf mehreren Konten nutzen zu können. Allein die Farbe und die Symbole habe ich noch nicht Automatisiert übertragen.
mfg Hildi Channel
Alert WhiteBox ShiftMAStrategy
The blue line is SMA .
The lime line = SMA - the shift parameter (%).
Red line = SMA + shift parameter (%).
Strategy uses limit orders. For opening of positions and for closing of positions.
If the price is lower than the lime line - opens a long position.
If the price is higher than the red line - opens a short position.
The position is closed on the blue line ( SMA ). Long and short.
Customizable trailing Stop For Manual EntriesHere's how to create a trailing stop with a manual buy order, on an exchange that does not support native trailing stops. Code can easily be copy+pasted into your normal algos.
To set the entry price for your manual trade, specify the bar time when the trade was made. Note that the time you specify needs to correspond to an opening time on your chart--if it's a 3 hour chart, 6 pm or 9 pm will work, but 8 PM will not. It's not as bad as it sounds though, read on :)
Per usual I keep multiple options open.
Special features in this script:
Change time frame for trailing
Specify trailing parameter (high, close, hlc3, etc.)
Change time frame for stop loss trigger (use a shorter time frame for earlier exits!)
Specify trigger parameter (close, low, hlc3, etc.)
Remember that annoying issue where you might not be able to precisely specify entry price, because you want to use 3 hour closing prices for your trailing stop but you bought in at 7:41 pm? Add this indicator to a 1 minute chart and set your start time to 19:41, then set the trailing time frame to 3 hours!
Next stop is v2, where we take profits along the way before stop loss gets triggered.
Master Grader v2.4.2Master Scalp Trade Grader (v2.4.2 – Final Tweaks)
What it does
A lightweight scalp framework that grades trade quality in real time and marks entries / exits for you. The core bias is built from 8/21/50 EMAs (stack & slope), momentum is gated by RSI bands (bull ≥ rsiBull, bear ≤ rsiBear), and breakouts use a short lookback high/low. Optional volume filter requires volume ≥ its SMA(volLen). Trend strength is quantified with ADX, and risk is managed by an ATR×mult trailing stop. The on-chart Info Box shows Bias, Grade, Trend Strength, Exit Level, and % of Avg Volume.
How it works (signal logic)
Bias: Bull if 8>21>50 and 21/50 sloping up; Bear if 8<21<50 and sloping down; else Neutral.
Entries:
Long: new Bull bias + breakout above highest-high(breakLook) + RSI ≥ rsiBull (+ optional vol filter).
Short: new Bear bias + breakdown below lowest-low(breakLook) + RSI ≤ rsiBear (+ optional vol filter).
Trailing stop: ATR(atrLen) × atrMult, flips to the favorable side and trails with trend.
Exits:
Stop exit: price crosses the ATR trail.
Weak exit: ADX < adxStrong and 8/21 cross against you.
Grading
A: Strong Hold → Bias active and (ADX > adxStrong) and RSI in the correct zone.
B: Moderate Hold → Bias active and ADX > 20.
C: Weakening → Bias active but strength fading.
EXIT SIGNAL → Stop/weak exit triggered.
D: No Trend → No bias.
Visuals & Alerts
Colored bars: Bull = green, Bear = red.
Plots: 8/21/50 EMAs (custom colors), ATR trail, and entry/exit markers.
Info Box (top-right): Bias • Grade • ADX (Strong/Weak) • Exit Level • Volume vs Avg.
Alerts: Long Entry, Short Entry, Exit Signal (ready for webhooks).
Inputs (quick)
EMAs: 8/21/50 • RSI: rsiLen, rsiBull, rsiBear • Breakout lookback • Volume SMA + toggle • ADX length/threshold • ATR length/multiplier • Colors/toggles for EMAs, ATR trail, Info Box.
Notes
Designed for scalps / fast swings; works on 1–15m and up.
Best results when bias + breakout + RSI + (optional) volume all agree.
Use the ATR trail for mechanical exits; downgrade to B/C as early caution.
Trim Rails Prox - ATR from SMA50 xATR from SMA50 – Trim Rails Pro V1
What it does
This tool plots “xATR rails” above (and optionally below) the Daily SMA50 using Daily ATR as the unit of distance. The classic use: identify “stretched” moves (e.g., +7×, +8× … +12× ATR above SMA50) where you systematically trim into strength. You also get optional intraday helpers (EMA10, SMA20) plus alerts when price crosses each xATR step.
Credit / lineage
Trim plan concept: inspired by the structured scaling/trim approach popularized by Steve Jacobs.
Signal engineering + automation: implemented by Master + Gemini with a share-based, stepwise trim engine and auto-reset logic.
How the rails work
The script computes xATR = (Close − Daily SMA50) / Daily ATR (all on daily data).
It then projects price rails at: SMA50 + (x × ATR) for x = 7, 8, 9, … 15 (you can restrict which ones render).
Optional short-side rails render at SMA50 − (x × ATR).
The Trim Plan (share-based & automatic)
Turn it on in Trim Plan (Steve Jacobs Style):
Original Position (shares) – how many shares you started with (e.g., 1000).
Trim % of Original at each step – percent of the original size to sell each time a level triggers (e.g., 20%).
Trim Levels (xATR above SMA50) – comma list of the rail steps to trim at (default: 7,8,9,10,11,12,15).
Auto-Reset when Daily Close < Daily SMA – when enabled, once daily close drops below the Daily SMA50, all trim flags reset so a new campaign can begin. (You can also toggle Manual Reset.)
Example (20% trims)
Original Position = 1000, Trim % = 20.
Each triggered level sells 200 shares (20% of 1000) regardless of remaining size.
After trims at 7×, 8×, 9× you will have sold 600 shares total; the Trim Panel will show Steps Done and Remain (sh) live.
On each trigger the script drops a label like:
TRIM 2/7 – Sell 200 sh @ $123.45
Tip: Change the list (e.g., 7,8,10,12,15) to widen or compress trims.
Key inputs
Start/End Trim Rail At – render only a window (e.g., 7→12) to reduce clutter.
Show 1–6× Minor Rails – quick visual context for smaller extensions.
Show Short-Side Rails (−N×) – for fading downside extensions.
Show Daily SMA50 / EMA10 / SMA20 – helper references (off by default for a cleaner view).
Alerts (prewired)
Cross 7x … Cross 12x – fires when xATR crosses each threshold upward.
Close < EMA10 / Close < SMA20 – caution exits on momentum cooling.
What’s on screen
Purple rails: major +xATR trim levels (and optional red −xATR rails).
Right-side label: next target rail, price, and distance (%).
Bottom-right Trim Panel: plan on/off, steps completed, and remaining shares.
Notes
Rails & trim logic use daily SMA/ATR for stability; they display on any timeframe.
If you change Original Position or Trim %, your future trims follow the new settings (past labels stay as history).
The plan is share-based (not cash). For option traders, treat “shares” as units and size your trims accordingly.
Happy scaling. Trim with discipline, let trends do the heavy lifting.
Options Momentum SignalCustomizable Intraday Options Scalping Alert.
Several important, complementary indicators combined into one simple signal that pops up under a bar to indicate sustained momentum on a trend. It uses a combination of calculations based on the 1m VWAP, price increase in contrast to previous day's close, and customizable Volatility and Volume Data.
It has adjustable values for the % increase from last close (labeled as Pre-Mkt % Threshold), minimal candle body % to filter out weaker signals, RVOL threshold, minimum CVD (it's rolling, so functions in tandem with the CVD lookback value for the number of bars.)
It offers individual boxes that can be checked on or off to help filter out noise. Boxes are: Use 1m VWAP, Use CVD, 3-bar cooldown (reduces back-to-back signals, especially on shorter (1m, 2m, and 5m) charts), VWAP bounce option to catch bounces happening in real time before the candle closes, Use RVOL, and Use Rolling CVD. These can all be checked on or off and will create vastly different signals depending on what you are filtering for.
These indicators were chosen specifically as I feel they help most with option scalping and is intended to be used alongside a few other indicators for confirmation. Personally, I use a couple anchored VWAPs (highest high, session) as well as a FRAMA channel for confirmation. I also use the following to further confirm trends: TradingView’s RVOL, CVD, and Price Pattern Oscillators, in addition to Beardy Fred's TTM Squeeze Pro.
Hope this helps some people!
