MacD Short and/or Long with Bi-Directional TP and SL This tool allows you to test any variable value for MacD and Signal for going Long or Short with each market direction having customizable values for stop loss and take profit.
For example, sometimes the MacD and Signal values are better with different lengths between Short and Long. You can use this tool to see them overlaid and determine the best settings for going one direction or the other.
This script was preset for use with XBTUSD on the 4 hour time frame. Another example with this in mind, is take profits and stop losses might not work in the Long market direction but going Short does! Without this tool that would be hard to see since typically stop loss and take profit is applied to both directions. I found with this tool that a 20% take profit seems to be a good sweet spot for going short with this strategy.
You can customize which MacD histogram you see by going to the style section and turning off the Short or Long parameters so you can see only 1 histogram at a time if you wish.
If you have any questions, please PM me.
Pesquisar nos scripts por "stop loss"
Trend Strategy by zdmreThis Strategy is a trend following indicator. It is plotted on price and the current trend can be determined by its placement vis-a-vis price. It is constructed with just three parameters: Period, Multiplier and Entry/Exit Point with Superformula.
The default parameters are 14 for Average True Range (ATR) and 4 for its multiplier. The average true range (ATR) plays a key role in ‘Trend’ as the indicator uses ATR to compute its value and it signals the degree of price volatility. You should note that any changes to these numbers can affect the use of the Trend indicator.
While you using this indicator, you should not avoid putting your stop loss.
For a long position, you can put stop loss right at the red indicator line. For a short position, you can put it at the green indicator line. You can insert your own settings as well.
Using Trend Strategy along with a stop loss pattern is the best way for earning the best wealth in trading.
There is no best setting for any trading indicator.
EMA pullback strategyA solid EMA pullback strategy for cryptos 15 min chart that uses EMA crossing as signal and pullback as stop loss.
EMA1: shortest period for finding crossing (I find period = 33 profitable for BTCUSD, you can adjust it for other cryptos)
EMA2: 5x period of EMA1, for filtering out some trend reversals
EMA3: 11x period of EMA1, for determining trend direction
Rules are:
Long:
close price > EMA3
EMA1 > EMA3
close price pullbacks below EMA1 and then crosses up EMA1, enter at the first close price above EMA1
lowest pullback close price < EMA2 at the cross up
Short:
close price < EMA3
EMA1 < EMA3
close price pullbacks above EMA1 and then crosses down EMA1, enter at the first close price below EMA1
highest pullback close price > EMA2 at the cross down
Stop-loss at lowest/highest pullback price for long/short
Take profit = 2x stop-loss
Risk management: risk range can be set in the inspector. If the risk is lower than the range, the trade is not taken. if the risk is higher than the range, the position size is adjusted to keep the risk within range.
Intraday FOREX london scalperThis forex System is only for ECN Broker Account.
Pairs: Major with spread < 0.0001 (EUR/USD).
Setup:
Wait for the market to make to 60 minute from the open.
If the market is near the intraday high be prepared to go short
If the market is near an intraday low for the same time period, then be prepared to go long.
Rules for entry
For sell setups: Enter on sell stop 1 pip from low of the last 15 min bar.
For buy setups: Enter in buy stop 1 pip from high of the last 15-minute bars.
Rules for exit
Take profit: Close out positions on 6 pips profit..
Stop Loss: Close out on 5 pips loss or if trade takes more than 1 minute.
8 Whittle DownThe system is designed to short on directionally negative instruments like VXX & SQQQ
The system only shorts, no longs
It enters a pilot position if the system has no trades open at the time is in the late afternoon
It uses a 200-day moving average as a filter and will only short if the price is below the 200 day moving average
The pilot position will only enter with 1/3 ( one third ) of the total expected position size
StopLossPerc sets the stop loss, (1.15) means it is set to a 15% stop loss. -- The Red Line
The system will buy additional shares for a full position if the pilot piston profit target was not reached
The full shares position is set to purchase at a higher price. T2EntTrgPerc sets the buy percentage target for the additional shares. -- The Yellow Line
Each entry has different settable profit targets. T1ProfTrgPerc sets the profit target for the first trade (0.95) is basically set to a 5% profit.
T2ProfTrgPerc sets the profit target for the second trade (0.90) is basically set to a 10% profit. -- The White Line
RED LINE == STOP LOSS LINE
GREENLINE == PROFIT TARGET FOR THE 1ST TRADE
YELLOW LINE == ADD ON SHARES TO THE TRADE
WHITE LINE == PROFIT TARGET FOR THE 1st & 2nd TRADE COMBINED
Let me know if you have any questions and I'll try to clarify
Scalping Screener - 15minSCALPING SCREENER - 15 mins (Indicator Tool)
TIME FRAME to use - 15 mins
DURATION OF TRADE - Using this indicator, Trade must be taken only during market hours and must be closed before market close (must not be carried forrward for next day).
SCALPING - This is a scalping strategy that is intended to make small profits in intraday trading
ENTRY CONCEPT -
- There must be 2 bulish candles and the 2nd candle's high should be greater than first candle's high.
- And If the latest candle high breaks high of the 2nd candle (prev candle), BUY signal is generated.
- Additional filters are added to reduce non-performaing trades.
- visa versa for SHORT signal
EXIT CONCEPT -
- 2nd candles low is the stop loss.
- Difference between 2nd candle high and 2nd candle low is target.
- The script will indicate when to BUY / SHORT and when to EXIT the trade.
INSTRUMENTS TO TRADE -
- High volatility instruments are best to be traded
- Nifty 50 stocks have been added to this indicator for the sake of screener. User can change these stocks with high volatility ones
- There is a limitation to add upto 40 scripts.
SCREENER FUNCTION -
- Right side of the chart has screener section which shows the list of stocks that qualify as per the BUY / SELL signal
NOTE -
The purpose of the scipt is for self learning / improvement and analysis.
Trading is a risky business and a trader must take any trade at their own RISK.
The author shall not be held responsible for Losses / Profits
VR-MASTThis is a my script for a super simple trading strategy - ZEST.
Identify Zone of Value, Enter on pullback, place proper Stop Loss and set achievable Targets.
So, to identify Zone of Value, I have EMA in my script.
20EMA generally acts as a dynamic Support/Resistance zone.
For Buy Stop Loss, we have 1ATR below Swing Low.
Then, we have SuperTrend for Trailing Stop Loss.
TradingView Alerts to MT4 MT5 - Forex, indices, commoditiesHowdy Algo-Traders! This example script has been created for educational purposes - to present how to use and automatically execute TradingView Alerts on real markets.
I'm posting this script today for a reason. TradingView has just released a new feature of the PineScript language - ALERT() function. Why is it important? It is finally possible to set alerts inside PineScript strategy-type script, without the need to convert the script into study-type. You may say triggering alerts straight from strategies was possible in PineScript before (since June 2020), but it had its limitations. Starting today you can attach alert to any custom event you might want to include in your PineScript code.
With the new feature, it is easier not only to execute strategies, but to maintain codebase - having to update 2 versions of the code with each single modification was... ahem... inconvenient. Moreover, the need to convert strategy into study also meant it was required to rip the code from all strategy...() calls, which carried a lot of useful information, like entry price, position size, and more, definitely influencing results calculated by strategy backtest. So the strategy without these features very likely produced different results than with them. While it was possible to convert these features into study with some advanced "coding gymnastics", it was also quite difficult to test whether those gymnastics didn't introduce serious, bankrupting bugs.
//////
How does this new feature work? It is really simple. On your custom events in the code like "GoLong" or "GoShort", create a string variable containing all the values you need inside your alert and this string variable will be your alert's message. Then, invoke brand new alert() function and that's it (see lines 67 onwards in the script). Set it up in CreateAlert popup and enjoy. Alerts will trigger on candle close as freq= parameter specifies. Detailed specification of the new alert() function can be found in TradingView's PineScript Reference (www.tradingview.com), but there's nothing more than message= and freq= parameters. Nothing else is needed, it is very simple. Yet powerful :)
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Alert syntax in this script is prepared to work with TradingConnector. Strategy here is not too complex, but also not the most basic one: it includes full exits, partial exits, stop-losses and it also utilizes dynamic variables calculated by the code (such as stop-loss price). This is only an example use case, because you could handle variety of other functionalities as well: conditional entries, pending entries, pyramiding, hedging, moving stop-loss to break-even, delivering alerts to multiple brokers and more.
//////
This script is a spin-off from my previous work, posted over a year ago here: Some comments on strategy parameters have been discussed there, but let me copy-paste most important points:
* Commission is taken into consideration.
* Slippage is intentionally left at 0. Due to shorter than 1 second delivery time of TradingConnector, slippage is practically non-existing.
* This strategy is NON-REPAINTING and uses NO TRAILING-STOP or any other feature known to be causing problems.
* The strategy was backtested on EURUSD 6h timeframe, will perform differently on other markets and timeframes.
Despite the fact this strategy seems to be still profitable, it is not guaranteed it will continue to perform well in the future. Remember the no.1 rule of backtesting - no matter how profitable and good looking a script is, it only tells about the past. There is zero guarantee the same strategy will get similar results in the future.
Full specs of TradingView alerts and how to set them up can be found here: www.tradingview.com
Ultimate Oscillator [Long] StrategyAfter I published Short Selling strategy with RSIofUO , I have been working for Long side strategy with same indicator.
but for Long strategy , I have used only the Ultimate Oscillator ... (Not the RSI of UO)
Logic behind this is , when UO goes below oversold level , high chance of possible reversal from there ...
Ultimate Oscialltor values , I have used are 5, 10 and 15
Signal Line 9
Above values are best/defaulted based on testing the strategy multiple symbols
BUY
when UO crossing up buyLine and close > open ( if the cross over is already done , it will wait for 3 candles to see a green bar i.e close>open )
Note when the bar color changes to orange , that means startegy is ready to take LONG position on next bar. But dont jump here , waith for the startegy take the Long Position :-)
Add
Signal appears when there is divergence (marked in yellow color ) ... strategy doesnt add the position , it is ony indicating you could add to existing OR if you missed the BUY signal you could enter here
Partial Exit
when UO crossing down partial exit level
Exit
When UO crossing down sell line
StopLoss
stop loss defaulted to 3%
Please note , I have slightly modified stop loss exit in this strategy.
Even though price hits 3% stoploss , strategy wont wind up the position ...
First , it will check if RSIofUO is above 30 , then it will hold on to the Long position.
Very reason behind this is , price is falling down and UO is going up ... That means there is bullish divergence here .. so it might turn this losing position to profitable one or will exit you with less than 3% loss.
Tested with SPY , QQQ , TSLA on 30mins to 4hrs. Though winning rate is average , net profit is exponential ...
Best working on 30 mins and 1 HR chart for QQQ
Warning
For the eductional purposes only ...
This is not a financial advise , before taking trading decission please do your own research
Indicator - ATR Profit Loss - DGHi Traders,
This is an on chart indicator that can be used for setting take profit and stop losses very easily using the Average True Range Indicator (ATR). Using a volatility adjusted TP and SL will allow you to set your targets and losses based on market conditions. In the settings, you are able to adjust how much of a multiplier you require depending on your risk tolerance and strategy. For those that follow the NNFX method, the defult settings are preset to 1xATR TP and 1.5xATR SL.
How to use:
- For longs, 'isLong' box must be ticked, for shorts, this box is unticked
- For longs, green line is TP, red line is SL
- For shorts, red line is TP, green line is SL
Regards,
Dillon Grech
L2 Candle Pattern ScalperLevel: 2
Background
Japanese candlesticks provide more detailed and accurate information about price movements compared to bar charts. They provide a graphical representation of the supply and demand behind the price promotions for each period. Each candlestick contains a central part that indicates the distance between the opening and closing of the security being traded, the area called the body.
Scalping is a trading strategy that aims to take advantage of minor changes in the stock price. Traders using this strategy place anywhere from 10 to a few hundred trades in a single day with the belief that small moves in the stock price are easier to catch than large ones. Traders who implement this strategy are known as scalpers. Lots of small wins can easily lead to big wins if a strict exit strategy is used to prevent big losses.
Function
L2 Candle Pattern Scalper utilizes candle pattern to decide long and short entry signal. It use inherent candles' relationship nearby to judge the market trend is up or down and decide to long or short.
Signal
buysmall --> long entry
exitred --> short entry
Pros and Cons
Pros:
1. its response is fast because OHLC candle is the raw source of market
2. it is suitable for scalping because it studies nearby candles to judge very short term trend change
Cons:
1. Mid-long term change is missing from this indicator, although I use fast and slow lines to indicate the mid-term trend.
2. No stop loss or take profit scheme is introduced.
Remarks
This is promising but need efforts to refine it.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Why is it ok to backtest on TradingView from now on!TradingView backtester has bad reputation. For a good reason - it was producing wrong results, and it was clear at first sight how bad they were.
But this has changed. Along with many other improvements in its PineScript coding capabilities, TradingView fixed important bug, which was the main reason for miscalculations. TradingView didn't really speak out about this fix, so let me try :)
Have a look at this short code of a swing trading strategy (PLEASE DON'T FOCUS ON BACKTEST RESULTS ATTACHED HERE - THEY DO NOT MATTER). Sometimes entry condition happens together with closing condition for the already ongoing trade. Example: the condition to close Long entry is the same as a condition to enter Short. And when these two aligned, not only a Long was closed and Short was entered (as intended), but also a second Short was entered, too!!! What's even worse, that second short was not controlled with closing conditions inside strategy.exit() function and it very often lead to losses exceeding whatever was declared in "loss=" parameter. This could not have worked well...
But HOORAY!!! - it has been fixed and won't happen anymore. So together with other improvements - TradingView's backtester and PineScript is now ok to work with on standard candlesticks :)
Yep, no need to code strategies and backtest them on other platforms anymore.
----------------
Having said the above, there are still some pitfalls remaining, which you need to be aware of and avoid:
Don't backtest on HeikenAshi, Renko, Kagi candlesticks. They were not invented with backtesting in mind. There are still using wrong price levels for entries and therefore producing always too good backtesting results. Only standard candlesticks are reliable to backtest on.
Don't use Trailing Stop in your code. TradingView operates only on closed candlesticks, not on tick data and because of that, backtester will always assume price has first reached its favourable extreme (so 'high' when you are in Long trade and 'low' when you are in Short trade) before it starts to pull back. Which is rarely the truth in reality. Therefore strategies using Trailing Stop are also producing too good backtesting results. It is especially well visible on higher timeframe strategies - for some reason your strategy manages to make gains on those huge, fat candlesticks :) But that's not reality.
"when=" inside strategy.exit() does not work as you would intuitively expect. If you want to have logical condition to close your trade (for example - crossover(rsi(close,14),20)) you need to place it inside strategy.close() function. And leave StopLoss + TakeProfit conditions inside strategy.exit() function. Just as in attached code.
If you're working with pyramiding, add "process_orders_on_close=ANY" to your strategy() script header. Default setting ("=FIFO") will first close the trade, which was opened first, not the one which was hit by Stop-Loss condidtion.
----------------
That's it, I guess :) If you are noticing other issues with backtester and would like to share, let everyone know in comments. If the issue is indeed a bug, there is a chance TradingView dev team will hear your voice and take it into account when working on other improvements. Just like they heard about the bug I described above.
P.S. I know for a fact that more improvements in the backtesting area are coming. Some will change the game even for non-coding traders. If you want to be notified quickly and with my comment - gimme "follow".
Scripting Tutorial B - TManyMA - Commission/FeesThis script is for a triple moving average strategy where the user can select from different types of moving averages, price sources, lookback periods and resolutions.
Features:
- 3 Moving Averages with variable MA types, periods, price sources, resolutions and the ability to disable each individually.
- Crossovers are plotted on the chart with detailed information regarding the crossover (Ex: 50 SMA crossed over 200 SMA )
- Forecasting available for all three MAs. MA values are forecasted 5 values out and plotted as if a continuation to the MA.
- Forecast bias also applies to all forecasting. Bias means we can forecast based on an anticipated bullish , bearish or neutral direction in the market.
- To understand bias, please read the source code, or if you can't read the code just send me a message on here or Twitter . Twitter should be linked to my profile.
- Ribbons added and on by default. Optional setting to disable the ribbons. 5 ribbons between MA1 and MA2 and another 5 between MA2 and MA3.
- Ribbons are alpha-color coded based on their relation to their default MAs.
- Ribbons are only visible between MAs if the MAs being compared share the same Type, Resolution, and Source because there is no way to consolidate those three in a simple manner.
- Ribbon values are calculated based on calculated MA Periods between the MAs.
- Converted the existing study into a strategy.
- Strategy only enters long positions with a market order when MA crossovers occur.
- Strategy exits positions when crossunders occur.
- Trades 100% of the equity with one order/position by default.
- Ability to disable trading certain crosses with input checks.
- Ability to exit trades with a take profit or stop loss.
- User input to allow quick changes to the take profit or stop loss percentages.
- Strategy now calculates on every tick
- Strategy also includes fixed commission values based on Coinbase standard order fees
This script is meant as an educational script with well-formatted styling, and references for specific functions.
*** PLEASE NOTE - THIS STRATEGY IS MEANT FOR LEARNING PURPOSES. DEPENDING ON IT'S CONFIGURATION IT MAY OR MAY NOT BE USEFUL FOR ACTUAL TRADING. THE STRATEGY IS NOT FINANCIAL ADVICE ***
Any MA bands (TMA bands V2)Hi everyone
Website will be opening very shortly :) Sorting out the last details and we're so excited to finally roll-out our different Algorithm Builders for you guys
Forewords
This present script is an evolution of the TMA bands . I would never have expected that script to become so popular to be honest
This is not only a study or idea but a really proven method and I'm glad that many of you are using it already. But please, whenever you see a new script out there, even if it looks cool and promising, please test it on a demo account for a week or on a LIVE account but with tiny amounts every time.
Many times, what you see on the chart is not what will happen in reality. I know that most of you will agree and I know exactly why we see this behavior... I'll give more details in a later post
I have plenty of methods like that one and I'll detail them on my website (and a bit on TradingView) starting next month
TMA bands on steroids
Someone asked me privately to make a generic version of the TMA bands and make it compatible with other standards Moving Average types. That's it for the specifications really as I didn't do much than re-using some piece of my own code
Suggested (but not mandatory) methodology
1) The Take Profit 1 is the middle line, Take Profit 2 is the opposite band.
2) Once the TP1 is hit, set your Stop Loss to breakeven
3) Once the TP2 is hit, if you still want to stay in the trade, set your Stop Loss to the TP1
It will be a powerful tool in your arsenal for some scalp/intraday trades
Wishing you all of you a great and profitable day
PS
It's strictly forbidden to republish this script without my explicit approval. All my posts are copyrighted from now on
Obviously you can use but not republish and get the credit or even worse... some money from your own clients
Dave
____________________________________________________________
Be sure to hit the thumbs up. Building those indicators take a lot of time and likes are always rewarding for me :) (tips are accepted too)
- If you want to suggest some indicators that I can develop and share with the community, please use my personal TRELLO board
- I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
Disclaimer:
Trading involves a high level of financial risk, and may not be appropriate because you may experience losses greater than your deposit. Leverage can be against you.
Do not trade with capital that you can not afford to lose. You must be aware and have a complete understanding of all the risks associated with the market and trading. We can not be held responsible for any loss you incur.
Trading also involves risks of gambling addiction.
Please notice I do not provide financial advice - my indicators, strategies, educational ideas are intended to provide only some source code for anyone interested in improving their trading
The proprietary indicators and strategies developed by Best Trading Indicator, the object of intellectual property rights are and remain the exclusive property of Best Trading Indicator, at the exclusion of images and videos and texts free of rights or provided by the Company or external legal or physical person.
No assignment of intellectual property rights is carried out through these Terms and Conditions.
Any total or partial reproduction, modification or use of these properties for any reason whatsoever is strictly prohibited without the express written authorization of the Company.
Turtle Trade Channels by KıvanÇ fr3762his trend following system was designed by Dennis Gartman and Bill Eckhart, and relies on breakouts of historical highs and lows to take and close trades: it is the complete opposite to the "buy low and sell high" approach. This trend following system was taught to a group of average and normal individuals, and almost everyone turned into a profitable trader.
The main rule is "Trade an N-day breakout and take profits when an M-day high or low is breached (N must me above M)". Examples:
Buy a 10-day breakout and close the trade when price action reaches a 5-day low.
Go short a 20-day breakout and close the trade when price action reaches a 10-day high.
In this indicator, the red line is the trading line, and the dotted blue line is the exit line. Original system is:
Go long when the trading line crosses below close price
Go short when the trading line rosses above close price
Exit long positions when the price touches the exit line
Exit short positions when the price touches the exit line
Recommended initial stop-loss is ATR * 2 from the opening price. Default system parameters were 20,10 and 55,20.
Original Turtle Rules:
To trade exactly like the turtles did, you need to set up two indicators representing the main and the failsafe system.
Set up the main indicator with TradePeriod = 20 and StopPeriod = 10 (A.k.a S1)
Set up the failsafe indicator with TradePeriod = 55 and StopPeriod = 20 using a different color. (A.k.a S2)
The entry strategy using S1 is as follows
Buy 20-day breakouts using S1 only if last signaled trade was a loss.
Sell 20-day breakouts using S1 only if last signaled trade was a loss.
If last signaled trade by S1 was a win, you shouldn't trade -Irregardless of the direction or if you traded last signal it or not-
The entry strategy using S2 is as follows:
Buy 55-day breakouts only if you ignored last S1 signal and the market is rallying without you
Sell 55-day breakouts only if you ignored last S1 signal and the market is pluging without you
The turtles had a progressive position sizing approach that boosted their winnings. Once a trading decision has been made you should...
Developers: Dennis Gartman and Bill Eckhart
İndikatörü geliştiren: Dennis Gartman and Bill Eckhart
Chandelier Exit by fr3762 KIVANÇChandelier Exit
Developed by Charles Le Beau and featured in Alexander Elder's books, the Chandelier Exit sets a trailing stop-loss based on the Average True Range (ATR). The indicator is designed to keep traders in a trend and prevent an early exit as long as the trend extends. Typically, the Chandelier Exit will be above prices during a downtrend and below prices during an uptrend.
The author, Chuck LeBeau explains: It lets "... profits run in the direction of a trend while still offering some protection against any reversal in trend."
According to the theory, traders should exit long positions at either the highest high since entry minus 3 ATRs .
Similarly traders should exit short positions at either the lowest low since entry plus 3 ATRs .
The exit stop is placed at a multiple of average true ranges from the highest high or highest close since the entry of the trade.
Chandelier Exit will rise instantly whenever new highs are reached. As the highs get higher the stop moves up but it never moves downward.
The Chandelier Exit is mostly used to set a trailing stop-loss during a trend. Trends sometimes extend further than we anticipate and the Chandelier Exit can help traders ride the trend a little longer. Even though it is mostly used for stop-losses, the Chandelier Exit can also be used as a trend tool. A break above the Chandelier Exit (long) signals strength, while a break below the Chandelier Exit (short) signals weakness. Once a new trend begins, chartists can then use the corresponding Chandelier Exit to help define this trend.
Developer: Charles Le Beau
ATR+VWAP Alert//These signals mostly consist of crossovers between a 13 VWMA and a 62 VWMA. I've found these two moving averages to be quite special in their ability to
//recognize a quick trend using volume data. The VWAP is used in the alert system as well, to give some perspective on which direction we are looking to take. We
//are also using ATR. We only take trades when the ATR is on the move, meaning we have a chance to catch a volatile move! Finally, we use RSI to help weed out bad
//trades. We only take 'longs' with bullish readings from RSI, and we only take 'shorts' with bearish readings from RSI. These alerts are fantastic for catching quick intraday
//trades in either direction. I recommend using a small 'take profit' target rather than using an exit indicator. These trades can move 20-30 pips and reverse just as quickly. Good luck!
//How To Use:
//When the alert system is added to the chart, you will notice up/down symbols appear at various locations. For bullish alerts, right click an 'Up' symbol and choose 'Add Alert on VWap & ATR..'
//There are two condition options. 'Long/short', and right below that 'Buy-Signal/Sell-Signal'. Choose 'long' and 'Buy-Signal'. At options, choose 'Once Per Bar Close'. Design your alert, and you're good to go.
//For bearish signals, find a 'down' signal on the chart. Right click and follow the same process, except choosing 'short/Sell-Signal' conditions.
Tips:
Use VWAP as a stop-loss. If a candle closes below/above the VWAP in the direction against you.. get out of the trade. The losses will be minimal and few compared to the wins. Use discretion and trade carefully. This works great with crypto. Invent your own exit. If you come up with a clever exit, please share!
You can contact me at my Discord!
discord.gg
The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2
The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality.
Top list of these cheating repainting strategies:
1569 upvotes ANN Strategy
877 upvotes Vdub FX SniperVX3 Strategy
481 upvotes Get Trend Strategy
I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list.
I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :)
My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%.
Please don't trade with this strategy!
Kalman Filter [DCAUT]█ Kalman Filter
📊 ORIGINALITY & INNOVATION
The Kalman Filter represents an important adaptation of aerospace signal processing technology to financial market analysis. Originally developed by Rudolf E. Kalman in 1960 for navigation and guidance systems, this implementation brings the algorithm's noise reduction capabilities to price trend analysis.
This implementation addresses a common challenge in technical analysis: the trade-off between smoothness and responsiveness. Traditional moving averages must choose between being smooth (with increased lag) or responsive (with increased noise). The Kalman Filter improves upon this limitation through its recursive estimation approach, which continuously balances historical trend information with current price data based on configurable noise parameters.
The key advancement lies in the algorithm's adaptive weighting mechanism. Rather than applying fixed weights to historical data like conventional moving averages, the Kalman Filter dynamically adjusts its trust between the predicted trend and observed prices. This allows it to provide smoother signals during stable periods while maintaining responsiveness during genuine trend changes, helping to reduce whipsaws in ranging markets while not missing significant price movements.
📐 MATHEMATICAL FOUNDATION
The Kalman Filter operates through a two-phase recursive process:
Prediction Phase:
The algorithm first predicts the next state based on the previous estimate:
State Prediction: Estimates the next value based on current trend
Error Covariance Prediction: Calculates uncertainty in the prediction
Update Phase:
Then updates the prediction based on new price observations:
Kalman Gain Calculation: Determines the weight given to new measurements
State Update: Combines prediction with observation based on calculated gain
Error Covariance Update: Adjusts uncertainty estimate for next iteration
Core Parameters:
Process Noise (Q): Represents uncertainty in the trend model itself. Higher values indicate the trend can change more rapidly, making the filter more responsive to price changes.
Measurement Noise (R): Represents uncertainty in price observations. Higher values indicate less trust in individual price points, resulting in smoother output.
Kalman Gain Formula:
The Kalman Gain determines how much weight to give new observations versus predictions:
K = P(k|k-1) / (P(k|k-1) + R)
Where:
K is the Kalman Gain (0 to 1)
P(k|k-1) is the predicted error covariance
R is the measurement noise parameter
When K approaches 1, the filter trusts new measurements more (responsive).
When K approaches 0, the filter trusts its prediction more (smooth).
This dynamic adjustment mechanism allows the filter to adapt to changing market conditions automatically, providing an advantage over fixed-weight moving averages.
📊 COMPREHENSIVE SIGNAL ANALYSIS
Visual Trend Indication:
The Kalman Filter line provides color-coded trend information:
Green Line: Indicates the filter value is rising, suggesting upward price momentum
Red Line: Indicates the filter value is falling, suggesting downward price momentum
Gray Line: Indicates sideways movement with no clear directional bias
Crossover Signals:
Price-filter crossovers generate trading signals:
Golden Cross: Price crosses above the Kalman Filter line, suggests potential bullish momentum development, may indicate a favorable environment for long positions, filter will naturally turn green as it adapts to price moving higher
Death Cross: Price crosses below the Kalman Filter line, suggests potential bearish momentum development, may indicate consideration for position reduction or shorts, filter will naturally turn red as it adapts to price moving lower
Trend Confirmation:
The filter serves as a dynamic trend baseline:
Price Consistently Above Filter: Confirms established uptrend
Price Consistently Below Filter: Confirms established downtrend
Frequent Crossovers: Suggests ranging or choppy market conditions
Signal Reliability Factors:
Signal quality varies based on market conditions:
Higher reliability in trending markets with sustained directional moves
Lower reliability in choppy, range-bound conditions with frequent reversals
Parameter adjustment can help adapt to different market volatility levels
🎯 STRATEGIC APPLICATIONS
Trend Following Strategy:
Use the Kalman Filter as a dynamic trend baseline:
Enter long positions when price crosses above the filter
Enter short positions when price crosses below the filter
Exit when price crosses back through the filter in the opposite direction
Monitor filter slope (color) for trend strength confirmation
Dynamic Support/Resistance:
The filter can act as a moving support or resistance level:
In uptrends: Filter often provides dynamic support for pullbacks
In downtrends: Filter often provides dynamic resistance for bounces
Price rejections from the filter can offer entry opportunities in trend direction
Filter breaches may signal potential trend reversals
Multi-Timeframe Analysis:
Combine Kalman Filters across different timeframes:
Higher timeframe filter identifies primary trend direction
Lower timeframe filter provides precise entry and exit timing
Trade only in direction of higher timeframe trend for better probability
Use lower timeframe crossovers for position entry/exit within major trend
Volatility-Adjusted Configuration:
Adapt parameters to match market conditions:
Low Volatility Markets (Forex majors, stable stocks): Use lower process noise for stability, use lower measurement noise for sensitivity
Medium Volatility Markets (Most equities): Process noise default (0.05) provides balanced performance, measurement noise default (1.0) for general-purpose filtering
High Volatility Markets (Cryptocurrencies, volatile stocks): Use higher process noise for responsiveness, use higher measurement noise for noise reduction
Risk Management Integration:
Use filter as a trailing stop-loss level in trending markets
Tighten stops when price moves significantly away from filter (overextension)
Wider stops in early trend formation when filter is just establishing direction
Consider position sizing based on distance between price and filter
📋 DETAILED PARAMETER CONFIGURATION
Source Selection:
Determines which price data feeds the algorithm:
OHLC4 (default): Uses average of open, high, low, close for balanced representation
Close: Focuses purely on closing prices for end-of-period analysis
HL2: Uses midpoint of high and low for range-based analysis
HLC3: Typical price, gives more weight to closing price
HLCC4: Weighted close price, emphasizes closing values
Process Noise (Q) - Adaptation Speed Control:
This parameter controls how quickly the filter adapts to changes:
Technical Meaning:
Represents uncertainty in the underlying trend model
Higher values allow the estimated trend to change more rapidly
Lower values assume the trend is more stable and slow-changing
Practical Impact:
Lower Values: Produces very smooth output with minimal noise, slower to respond to genuine trend changes, best for long-term trend identification, reduces false signals in choppy markets
Medium Values: Balanced responsiveness and smoothness, suitable for swing trading applications, default (0.05) works well for most markets
Higher Values: More responsive to price changes, may produce more false signals in ranging markets, better for short-term trading and day trading, captures trend changes earlier, adjust freely based on market characteristics
Measurement Noise (R) - Smoothing Control:
This parameter controls how much the filter trusts individual price observations:
Technical Meaning:
Represents uncertainty in price measurements
Higher values indicate less trust in individual price points
Lower values make each price observation more influential
Practical Impact:
Lower Values: More reactive to each price change, less smoothing with more noise in output, may produce choppy signals
Medium Values: Balanced smoothing and responsiveness, default (1.0) provides general-purpose filtering
Higher Values: Heavy smoothing for very noisy markets, reduces whipsaws significantly but increases lag in trend change detection, best for cryptocurrency and highly volatile assets, can use larger values for extreme smoothing
Parameter Interaction:
The ratio between Process Noise and Measurement Noise determines overall behavior:
High Q / Low R: Very responsive, minimal smoothing
Low Q / High R: Very smooth, maximum lag reduction
Balanced Q and R: Middle ground for most applications
Optimization Guidelines:
Start with default values (Q=0.05, R=1.0)
If too many false signals: Increase R or decrease Q
If missing trend changes: Decrease R or increase Q
Test across different market conditions before live use
Consider different settings for different timeframes
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Comparison with Traditional Moving Averages:
Versus Simple Moving Average (SMA):
The Kalman Filter typically responds faster to genuine trend changes
Produces smoother output than SMA of comparable length
Better noise reduction in ranging markets
More configurable for different market conditions
Versus Exponential Moving Average (EMA):
Similar responsiveness but with better noise filtering
Less prone to whipsaws in choppy conditions
More adaptable through dual parameter control (Q and R)
Can be tuned to match or exceed EMA responsiveness while maintaining smoothness
Versus Hull Moving Average (HMA):
Different noise reduction approach (recursive estimation vs. weighted calculation)
Kalman Filter offers more intuitive parameter adjustment
Both reduce lag effectively, but through different mechanisms
Kalman Filter may handle sudden volatility changes more gracefully
Response Characteristics:
Lag Time: Moderate and configurable through parameter adjustment
Noise Reduction: Good to excellent, particularly in volatile conditions
Trend Detection: Effective across multiple timeframes
False Signal Rate: Typically lower than simple moving averages in ranging markets
Computational Efficiency: Efficient recursive calculation suitable for real-time use
Optimal Use Cases:
Markets with mixed trending and ranging periods
Assets with moderate to high volatility requiring noise filtering
Multi-timeframe analysis requiring consistent methodology
Systematic trading strategies needing reliable trend identification
Situations requiring balance between responsiveness and smoothness
Known Limitations:
Parameters require adjustment for different market volatility levels
May still produce false signals during extreme choppy conditions
No single parameter set works optimally for all market conditions
Requires complementary indicators for comprehensive analysis
Historical performance characteristics may not persist in changing market conditions
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. The Kalman Filter's effectiveness varies with market conditions, tending to perform better in markets with clear trending phases interrupted by consolidation. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions, but rather as part of a comprehensive trading approach.
Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always test thoroughly with different parameter settings across various market conditions before using in live trading. No technical indicator can predict future price movements with certainty, and all trading involves risk of loss.
Alt buy signal 1H Entry + 4H Confirm (MACD + Stoch RSI + HMA)This indicator is a multi-timeframe (MTF) analysis tool designed for the ALT trading , capturing entry signals on the 1-hour (1H) timeframe and confirming trends on the 4-hour (4H) timeframe. It combines MACD, Stoch RSI, and Hull Moving Average (HMA) to identify precise buy opportunities, particularly at reversal points after a downtrend or during trend shifts. It visually marks both past and current BUY signals for easy reference.
Key Features:
1H Entry Signal (Early Ping): Triggers on a MACD golden cross (below 0) combined with a Stoch RSI oversold cross (below 20), offering an initial buy opportunity.
4H Trend Confirmation (Entry Ready): Validates the trend with a 4H MACD histogram rising (in negative territory) or a golden cross, plus a Stoch RSI turn-up (above 30).
Past BUY Display: Labels past data points where these conditions were met as "1H BUY" or "FULL BUY," facilitating backtesting.
HMA Filter: Optional HMA(16) to confirm price breakouts, enhancing trend validation.
Purpose: Ideal for short-term scalping and swing trading. Supports a two-step strategy: initial partial entry on 1H signals, followed by additional entry on 4H confirmation.
Usage Instructions
Installation: Add the indicator to an IMX/USDT 1H chart on TradingView.
Signal Interpretation:
lime "1H BUY": 1H conditions met, consider initial entry (stop-loss: 3-5% below recent low).
green "FULL BUY": 1H+4H conditions met, confirm trend for additional entry (take-profit: 10% below recent swing high).
Customization: Adjust TF (1H/4H), MACD/Stoch RSI parameters, and HMA usage via the input settings.
Alert Setup: Enable alerts for "ENTRY READY" (1H+4H) or "EARLY PING" (1H only) conditions.
Advantages
Accuracy: Reduces false signals by combining MACD golden cross below 0 with Stoch RSI oversold conditions.
Dual Confirmation: 1H for quick timing and 4H for trend validation, improving risk management.
Visualization: Past BUY points enable easy backtesting and pattern recognition.
Flexibility: 4H confirmation mode adjustable (histogram rise or golden cross).
Limitations
Timeframe Dependency: Optimized for 1H charts; may not work on other timeframes.
Market Conditions: Potential whipsaws in sideways markets; additional filters (e.g., RSI > 50) recommended.
Manual Management: Stop-loss and take-profit require user discretion.
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market
Overview
The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs."
The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants.
How It Works: The 3-Module Logic
The indicator uses a multi-stage confirmation process to identify a potential stop hunt:
1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push.
2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales.
3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence:
An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone.
The same candle then reverses, closing back inside the previous price range.
This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable.
How to Interpret & Use This Indicator
BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP.
SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN.
This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
Support and Resistance levels from Options DataINTRODUCTION
This script is designed to visualize key support and resistance levels derived from options data on TradingView charts. It overlays lines, labels, and boxes to highlight levels such as Put Walls (gamma support), Call Walls (gamma resistance), Gamma Flip points, Vanna levels, and more.
These levels are intended to help traders identify potential areas of price magnetism, reversal, or breakout based on options market dynamics. All calculations and visualizations are based on user-provided data pasted into the input field, as Pine Script cannot directly fetch external options data due to platform limitations (explained below).
For convenience, my website allows users to interact with a bot that will generate the string for up to 30 tickers at once getting nearly real-time data on demand (data is cached for 15min). With the output string pasted into this indicator, it's a bliss to shuffle through your portfolio and see those levels for each ticker.
The script is open-source under TradingView's terms, allowing users to study, modify, and improve it. It draws inspiration from common options-derived metrics like gamma exposure and vanna, which are widely discussed in financial literature. No external code is copied without rights; all logic is original or based on standard mathematical formulas.
How the Options Levels Are Calculated
The levels displayed by this script are not computed within Pine Script itself—instead, they rely on pre-calculated values provided by the user (via a pasted data string). These values are derived from options chain data fetched from financial APIs (e.g., using libraries like yfinance in Python). Here's a step-by-step overview of how these levels are generally calculated externally before being input into the script:
Fetching Options Data:
Historical and current options chain data for a ticker (e.g., strikes, open interest, volume, implied volatility, expirations) is retrieved for near-term expirations (e.g., up to 90 days).
Current stock price is obtained from recent history.
Gamma Support (Put Wall) and Resistance (Call Wall):
Gamma Calculation: For each option, gamma (the rate of change of delta) is computed using the Black-Scholes formula:
gamma = N'(d1) / (S * sigma * sqrt(T))
where S is the stock price, K is the strike, T is time to expiration (in years), sigma is implied volatility, r is the risk-free rate (e.g., 0.0445), and N'(d1) is the normal probability density function.
Weighted gamma is multiplied by open interest and aggregated by strike.
The Put Wall is the strike below the current price with the highest weighted gamma from puts (acting as support).
The Call Wall is the strike above the current price with the highest weighted gamma from calls (acting as resistance).
Short-term versions focus on strikes closer to the money (e.g., within 10-15% of the price).
Gamma Flip Level:
Net dealer gamma exposure (GEX) is calculated across all strikes:
GEX = sum (gamma * OI * 100 * S^2 * sign * decay)
where sign is +1 for calls/-1 for puts, and decay is 1 / sqrt(T).
The flip point is the price where net GEX changes sign (from positive to negative or vice versa), interpolated between strikes.
Vanna Levels:
Vanna (sensitivity of delta to volatility) is calculated:
vanna = -N'(d1) * d2 / sigma
where d2 = d1 - sigma * sqrt(T).
Weighted by open interest, the highest positive and negative vanna strikes are identified.
Other Levels:
S1/R1: Significant strikes with high combined open interest and volume (80% OI + 20% volume), below/above price for support/resistance.
Implied Move: ATM implied volatility scaled by S * sigma * sqrt(d/365) (e.g., for 7 days).
Call/Put Ratio: Total call contracts divided by put contracts (OI + volume).
IV Percentage: Average ATM implied volatility.
Options Activity Level: Average contracts per unique strike, binned into levels (0-4).
Stop Loss: Dynamically set below the lowest support (e.g., Put Wall, Gamma Flip), adjusted by IV (tighter in low IV).
Fib Target: 1.618 extension from Put Wall to Call Wall range.
Previous day levels are stored for comparison (e.g., to detect Call Wall movement >2.5% for alerts).
Effect as Support and Resistance in Technical Trading
Options levels like gamma walls influence price action due to market maker hedging:
Put Wall (Gamma Support): High put gamma below price creates a "magnet" effect—market makers buy stock as price falls, providing support. Traders might look for bounces here as entry points for longs.
Call Wall (Gamma Resistance): High call gamma above price leads to selling pressure from hedging, acting as resistance. Rejections here could signal trims, sells or even shorts.
Gamma Flip: Where gamma exposure flips sign, often a volatility pivot—crossing it can accelerate moves (bullish above, bearish below).
Vanna Levels: Positive/negative vanna indicate volatility sensitivity; crosses may signal regime shifts.
Implied Move: Shows expected range; prices outside suggest overextension.
S1/R1 and Fib Target: Volume/OI clusters act as classic S/R; Fib extensions project upside targets post-breakout.
In trading, these are not guarantees—combine with TA (e.g., volume, trends). High activity levels imply stronger effects; low CP ratio suggests bearish sentiment. Alerts trigger on proximities/crosses for awareness, not advice.
Limitations of the TradingView Platform for Data Pulling
TradingView's Pine Script is sandboxed for security and performance:
No direct internet access or API calls (e.g., can't fetch yfinance data in-script).
Limited to chart data/symbol info; no real-time options chains.
Inputs are static per load; updates require manual pasting.
Caching isn't persistent across sessions.
This prevents dynamic data pulling, ensuring scripts remain lightweight but requiring external tools for fresh data.
Creative Solution for On-Demand Data Pulling
To overcome these limitations, users can use external tools or scripts (e.g., Python-based) to fetch and compute levels on demand. The tool processes tickers, generates a formatted string (e.g., "TICKER:level1,level2,...;TIMESTAMP:unix;"), and users paste it into the script's input. This keeps data fresh without violating platform rules, as computation happens off-platform. For example, run a local script to query APIs and output the string—adaptable for any ticker.
Script Functionality Breakdown
Inputs: Custom data string (parsed for levels/timestamp); toggles for short-term/previous/Vanna/stop loss; style options (colors, transparency).
Parsing: Extracts levels for the chart symbol; gets timestamp for "updated ago" display.
Drawing: Lines/labels for levels; boxes for gamma zones/implied move; clears old elements on updates.
Info Panel: Top-right summary with metrics (CP ratio, IV, distances, activity); emojis for quick status.
Alerts: Conditions for proximities, crosses, bounces (e.g., 0.5% bounce from Put Wall).
Performance: Uses vars for persistence; efficient for real-time.
This script is educational—test thoroughly. Not financial advice; past performance isn't indicative of future results. Feedback welcome via TradingView comments.
Sunmool's Silver Bullet Model FinderICT Silver Bullet Model Indicator - Complete Guide
📈 Overview
The ICT Silver Bullet Model indicator is a supplementary tool for utilizing ICT's (Inner Circle Trader) market structure analysis techniques. This indicator detects institutional liquidity hunting patterns and automatically identifies structural levels, helping traders analyze market structure more effectively.
🎯 Core Features
1. Structural Level Identification
STL (Short Term Low): Recent support levels formed in the short term
STH (Short Term High): Recent resistance levels formed in the short term
ITL (Intermediate Term Low): Stronger support levels with more significance
ITH (Intermediate Term High): Stronger resistance levels with more significance
2. Kill Zone Time Display
London Kill Zone: 02:00-05:00 (default)
New York Kill Zone: 08:30-11:00 (default)
These are the most active trading hours for institutional players where significant price movements occur
3. Smart Sweep Detection
Bear Sweep (🔻): Pattern where price sweeps below lows then recovers - Simply indicates sweep occurrence
Bull Sweep (🔺): Pattern where price sweeps above highs then declines - Simply indicates sweep occurrence
Important: Sweep labels only mark liquidity hunting locations, not directional bias.
🔧 Configuration Parameters
Basic Settings
Sweep Detection Lookback: Number of candles for sweep detection (default: 20)
Structure Point Lookback: Number of candles for structural point detection (default: 10)
Sweep Threshold: Percentage threshold for sweep validation (default: 0.1%)
Time Settings
London Kill Zone: Active hours for London session
New York Kill Zone: Active hours for New York session
Visualization Settings
Customizable colors for each level type
Enable/disable alert notifications
📊 How to Use
1. Chart Setup
Most effective on 1-minute to 1-hour timeframes
Recommended for major currency pairs (EUR/USD, GBP/USD, etc.)
Also applicable to cryptocurrencies and indices
2. Signal Interpretation
🔻 Bear Sweep / 🔺 Bull Sweep Labels
Simply indicate liquidity hunting occurrence points
Not directional bias indicators
Reference for understanding overall context on HTF
🟢 Silver Bullet Long (Huge Green Triangle)
After Bear Sweep occurrence
Within Kill Zone timeframe
Current price positioned above swept level
→ Actual BUY entry signal
🔴 Silver Bullet Short (Huge Red Triangle)
After Bull Sweep occurrence
Within Kill Zone timeframe
Current price positioned below swept level
→ Actual SELL entry signal
3. Risk Management
Use swept levels as stop-loss reference points
Approach signals outside Kill Zone hours with caution
Recommended to use alongside other technical analysis tools
💡 Trading Strategies
Silver Bullet Strategy
Preparation Phase: Monitor charts 30 minutes before Kill Zone
Sweep Observation: Identify liquidity hunting points with 🔻🔺 labels (reference only)
Entry: Enter ONLY when huge triangle Silver Bullet signal appears within Kill Zone
Take Profit: Target opposite structural level or 1:2 reward ratio
Stop Loss: Beyond the swept level
Important: Small sweep labels are NOT trading signals!
Multi-Timeframe Approach
Step 1: HTF (Higher Time Frame) Sweep Reference
Observe 🔻🔺 sweep labels on 4-hour and daily charts
Reference only sweeps occurring at major structural levels
HTF sweeps are used to identify liquidity hunting points
Reference only, not for directional bias
Step 2: Transition to LTF (Lower Time Frame)
Move to 15-minute, 5-minute, and 1-minute charts
Analyze LTF with reference to HTF sweep information
Use STL, STH, ITL, ITH for precise entry point identification
Structural levels on LTF are the core of actual trading decisions
Only huge triangle (Silver Bullet) signals are actual entry signals
Recommended Usage
Identify overall sweep occurrence points on HTF (🔻🔺 labels)
Use this indicator on LTF to identify structural levels
Reference only huge triangle signals for actual trading during Kill Zone
Small sweep labels (🔻🔺) are for reference only, not entry signals
📋 Information Table Interpretation
Real-time information in the top-right table:
Kill Zone Status: Current active session status
Level Counts: Number of each structural level type
⚠️ Important Disclaimers
Backtesting results do not guarantee future performance
Exercise caution during high market volatility periods
Always apply proper risk management
Recommend comprehensive analysis with other analytical tools
🎓 Learning Resources
Study original ICT concepts through free YouTube educational content
Research Market Structure analysis techniques
Optimize through backtesting for personal use
🔬 Technical Implementation
Algorithm Logic
Pivot Point Detection: Uses TradingView's built-in pivot functions to identify swing highs and lows
Classification System: Automatically categorizes levels based on recent price action frequency
Sweep Validation: Confirms legitimate sweeps through price action analysis
Time-Based Filtering: Prioritizes signals during institutional active hours
Performance Optimization
Efficient array management prevents memory overflow
Dynamic level cleanup maintains chart clarity
Real-time calculation ensures minimal lag
🛠️ Customization Tips
Adjust lookback periods based on market volatility
Modify kill zone times for different market sessions
Experiment with sweep threshold for different instruments
Color-code levels according to personal preference
📈 Expected Outcomes
When properly implemented, this indicator can help traders:
Identify high-probability reversal points
Time entries with institutional flow
Reduce false signals through kill zone filtering
Improve risk-to-reward ratios
This indicator automates ICT's concepts into a user-friendly tool that can be enhanced through continuous learning and practical application. Success depends on understanding the underlying market structure principles and combining them with proper risk management techniques.
