LowFinder_PyraMider_V2This strategy is a result of an exploration to experiment with other ways to detect lows / dips in the price movement, to try out alternative ways to exit and stop positions and a dive into risk management. It uses a combination of different indicators to detect and filter the potential lows and opens multiple positions to spread the risk and opportunities for unrealized losses or profits. This script combines code developed by fellow Tradingview community_members.
LowFinder
The lows in the price movement are detected by the Low finder script by RafaelZioni . It finds the potential lows based on the difference between RSI and EMA RSI. The MTF RSI formula is part of the MTFindicators library developed by Peter_O and is integrated in the Low finder code to give the option to use the RSI of higher timeframes. The sensitivity of the LowFinder is controlled by the MA length. When potential lows are detected, a Moving Average, a MTF Stochastic (based the the MTFindiicators by Peter_O) and the average price level filter out the weak lows. In the settings the minimal percentage needed for a low to be detected below the average price can be specified.
Order Sizing and Pyramiding
Pyramiding, or spreading multiple positions, is at the heart of this strategy and what makes it so powerful. The order size is calculated based on the max number of orders and portfolio percentage specified in the input settings. There are two order size modes. The ‘base’ mode uses the same base quantity for each order it opens, the ‘multiply’ mode multiplies the quantity with each order number. For example, when Long 3 is opened, the quantity is multiplied by 3. So, the more orders the bigger the consecutive order sizes. When using ‘multiply’ mode the sizes of the first orders are considerably lower to make up for the later bigger order sizes. There is an option to manually set a fixed order size but use this with caution as it bypasses all the risk calculations.
Stop Level, Take Profit, Trailing Stop
The one indicator that controls the exits is the Stop Level. When close crosses over the Stop Level, the complete position is closed and all orders are exited. The Stop Level is calculated based on the highest high given a specified candle lookback (settings). There is an option to deviate above this level with a specified percentage to tweak for better results. You can activate a Take Profit / Trailing Stop. When activated and close crosses the specified percentage, the Stop Level logic changes to a trailing stop to gain more profits. Another option is to use the percentage as a take profit, either when the stop level crosses over the take profit or close. With this option active, you can make this strategy more conservative. It is active by default.
And finally there is an option to Take Profit per open order. If hit, the separate orders close. In the current settings this option is not used as the percentage is 10%.
Stop Loss
I published an earlier version of this script a couple of weeks ago, but it got hidden by the moderators. Looking back, it makes sense because I didn’t pay any attention to risk management and save order sizing. This resulted in unrealistic results. So, in this script update I added a Stop Loss option. There are two modes. The ‘average price’ mode calculates the stop loss level based on a given percentage below the average price of the total position. The ‘equity’ mode calculates the stop loss level based on a given percentage of your equity you want to lose. By default, the ‘equity’ mode is active. By tweaking the percentage of the portfolio size and the stop loss equity mode, you can achieve a quite low risk strategy set up.
Variables in comments
To sent alerts to my exchange I use a webhook server. This works with a sending the information in the form of a comment. To be able to send messages with different quantities, a variable is added to the comment. This makes it possible to open different positions on the exchange with increasing quantities. To test this the quantities are printed in the comment and the quantities are switched off in the style settings.
This code is a result of a study and not intended for use as a worked out and full functioning strategy. Use it at your own risk. To make the code understandable for users that are not so much introduced into pine script (like me), every step in the code is commented to explain what it does. Hopefully it helps.
Enjoy!
Wyszukaj w skryptach "Trailing stop"
Interactive SAR Stop-Loss [TANHEF]This indicator is "Interactive" which means some inputs can are manually added through the first click after adding the indicator to the chart (SAR Trailing Stop-loss start point).
Unlike the normal Parabolic SAR, this indicator allows for the modification of the start point of the Parabolic SAR’s first bar calculation. Normally, the Parabolic SAR automatically has a start point after the first bar of an asset’s historical price that will then switch between trailing above and below price respectively. It must be noted that due to how the first position of the Parabolic SAR is calculated, on occasion the Parabolic SAR will immediately flip on the next bar to the opposite side relative to price that it was just located. Modifying the setting “⭐Initial Interactive SAR Position Source”, then selecting either 'Clicked' or 'ATR' level as the vertical start position will prevent this. See images below for more explanation.
Why use a trailing stop-loss?
A trailing stop-loss provides an exit when price moves against you but also enables you to move the exit point further into profit when price is moving in the desired direction of a trade. The Parabolic SAR ( stop and reverse ) which is used to determine price direction as well as when price direction is changing, is very effective at functioning as a trailing stop loss.
Indicator Explanation
Initially when this indicator is added to the chart, you will be prompted to select where to begin the SAR Trailing Stop-loss.
For a long stop-loss, select below price.
For a short stop-loss, select above price.
After this indicator is placed, it can be modified via dragging or from within the settings by modifying the time and the price input. Or simply re-add the indicator to the chart. Another option is to have this Parabolic SAR begin directly on the price that was initially ‘Clicked’ or the ‘ATR’ level, which requires selecting the option in settings labeled “⭐Initial Interactive SAR Position Source”
The SAR Stop Loss plotted. Note that the calculation that occurs on this first bar of the ‘Interactive SAR’ is as if the prior bar was the oldest historical bar of the asset. Due to the SAR’s calculations, if the ‘Normal SAR’ were to also flip sides over to the position that has been manually set for the ‘Interactive SAR’, they won’t necessarily have the same result.
An optional fixed profit target can be added within the settings. This profit target will only actively be plotted when the SAR Trailing Stop-loss has not be hit yet or until the profit target has been hit.
Here shows that the profit target was hit, then later on the SAR Trailing Stop-loss was hit.
Note, trailing stop-loss will continue to be plotted until it has been hit regardless of the profit target being hit or not.
Here is an example of when the Parabolic SAR will immediately flip on the next bar to the opposite side relative to price that it was just first located. This is due to how the Parabolic SAR is calculated and will also occur with the traditional Parabolic SAR that is not interactively (manually) given a start location. To prevent this, either relocate this time in which this SAR beings or consider modifying the SAR’s (start, increment, max) settings specifically.
Here instead of using the SAR’s calculation for an initial bar, the ‘ATR’ was selected as the start point within the setting “⭐Initial Interactive SAR Position Source”.
Alerts
1. 'Check' alerts to use within indicator settings (trailing stop hit and/or profit target hit).
2. Select 'Create Alert'
3. Set the condition to 'Interactive SAR''
4. Select create.
Interactive ATR Stop-Loss [TANHEF]This indicator is "Interactive" which means some inputs can are manually added through the first click after adding the indicator to the chart (ATR Trailing Stop-loss start point). See images below for more explanation.
Why use a trailing stop-loss?
A trailing stop-loss provides an exit when price moves against you but also enables you to move the exit point further into profit when price is moving in the desired direction of a trade. The ATR (Average True Range) which is used to measure volatility, is very effective at functioning as a trailing stop loss.
Indicator Explanation
Initially when this indicator is added to the chart, you will be prompted to select where to begin the ATR Trailing Stop-loss.
For a long stop-loss, select below price.
For a short stop-loss, select above price.
After this indicator is placed, it can be modified via dragging or from within the settings by modifying the time and the price input. Or simply re-add the indicator to the chart.
The ATR Stop Loss plotted. Note that the trailing value that is considered as the stop loss value is the value of the ATR from the prior candle. The settings for the ATR calculation can be modified within the settings.
An optional fixed profit target can be added within the settings. This profit target will only actively be plotted when the ATR Trailing Stop-loss has not be hit hit yet or until the profit target has been hit.
Here shows that the profit target was hit, then later on the ATR Trailing Stop-loss was hit.
Note, trailing stop-loss will continue to be plotted until it has been hit regardless of the profit target being hit or not.
Alerts
1. 'Check' alerts to use within indicator settings (trailing stop hit and/or profit target hit).
2. Select 'Create Alert'
3. Set the condition to 'Interactive ATR''
4. Select create.
MA Simple Strategy with SL & TP & ATR FiltersHello Guys! Nice to meet you all!
This is my second script!
This Logic is trend following logic, This detects long & short trends by comparing the value of MAs.
This fits to the longer time frame.
### Long Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 > MA 2 > MA 3 > MA 4, then Enter Long Position
- ‘The arrangement of MAs in descending orders’ is the proxy of the long trend.
### Short Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 < MA 2 < MA 3 < MA 4, then Enter Short Position
- ‘The arrangement of MAs in ascending orders’ is the proxy of the short trend.
### Close Condition
1. When trend Changes
- When (MA 1 > MA 2 > MA 3 > MA 4) breaks or (MA 1 < MA 2 < MA 3 < MA 4) breaks.
2. When the price hits the stoploss
3. When the price hits the take profit level (basically 50% of qty will be closed)
### Etc
1. Trend filter (ATR should be bigger than SMA of ATR)
- If the volatility of price is to small (ATR), then there could be false signal. To filter this out, I used the condition ‘ATR should be larger than SMA of ATR’.
2. Stoploss
- Enabled Stoploss based on ATR, Percent, Risk-Reward Ratio,
- Enabled Trailing Stoploss.
3. Choose MA Type
- You can choose MA Type
+ Thanks for the stoploss template @jason5480
6 Multi-Timeframe Supertrend with Heikin Ashi as Source
This is a multiple multi-timeframe version of famous supertrernd only with Heikin Ashi as source. Atr which stands in the heart of supertrend is calculated based on heikin-ashi bars which omits a great deal of noises.
with 6 multiplication of the supertrend, its simply much easier to spot trend direction or use it as trailing stop with several levels available.
this is a great tool to assess and manage your risk and calculate your position volume if you use the heikin ashi supertrend as your stoploss.
EMA Cross CloudSimple ema cross trading alerts, completely customizable fast and slow crossovers with rendered cloud.
This cross indicator attempts to filter counter trend trades by added additional ema market and if crossunder/over occurs opposite of ema market the cloud will turn gray, otherwise if it's with the overall trend then red/green.
The last ema is a trailing stop guideline that is rendered with yellow crosses, could also utilize other stops such as the top or bottom of the cloud.
Alerts are baked in for ema crosses, trend breaks into stops.
VXD Cloud EditionVXD Cloud Edition.
to overcome sideways market conditions this cloud configured for low timeframe.
every TA is same as VXD Supercycle but show as cloud.
Symbols on chart show Premium and Discount Prices
X-Cross = Engulfing Candle with weak volume .
O-circle - Engulfing Candle with strong volume .
Pivot point and Rejected Block
Pivot show last High and low of a price in past bars
Rejected Block show when that High or Low price are important level to determined if it's Hidden Divergence or Divergence (with RSI)
Setting
Momentum: RSI = 25 , RSI MA = 14
Trend: Rolling VWAP and ATR and Subhag (Everthing show as a cloud)
Trailing STOP: ATR 12 x 2.4
Highlight Bars color when volume is above SMA 6
SMA200 act as TP Line
Risk:Reward Calculation
if Buy your Stoploss will be previous Pivot low
if Sell your Stoploss will be previous Pivot high
and TP line will be calculated form there, then show in Orange color line
Buy condition : Close is above Cloud and close above pivot high
Sell condition : Close is below Cloud and close below pivot low
Trip : add this to alerts setting.
Order {{strategy.order.action}} filled on {{ticker}} @ {{strategy.order.price}} {{strategy.order.alert_message}}.
Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2
This script was originally shared by Wunderbit as a free open source script for the community to work with. This is my second published iteration of this idea.
WHAT THIS SCRIPT DOES:
It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual trading.
This strategy is based on the trend-following momentum indicator . It includes the Money Flow index as an additional point for entry.
This is a new and improved version geared for lower timeframes (15-5 minutes), but can be run on larger ones as well. I am testing it live as my high frequency trader.
HOW IT DOES IT:
It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability.
Take profits are now trailing profits, and the stop loss is now fixed. Why? I found that the trailing stop loss with ATR in the previous version yields very good results for back tests but becomes very difficult to deploy live due to transaction fees. As you can see the average trade is a higher profit percentage than the previous version.
HOW IS MY VERSION ORIGINAL:
Now instead of using ATR stop loss, we have a fixed stop loss - counter intuitively to what some may believe this performs better in live trading scenarios since it gives the strategy room to move. I noticed that the ATR trailing stop was stopping out too fast and was eating away balance due to transaction fees.
The take profit on the other hand is now a trailing profit with a customizable deviation. This ensures that you can have a minimum profit you want to take in order to exit.
I have depracated the old ATR trailing stop as it became too confusing to have those as different options. I kept the old version for others that want to experiment with it. The source code still requires some cleanup, but its fully functional.
I added in a way to show RSI values and ATR values with a checkbox so that you can use the new an improved ATR Filter (and grab the right RSI values for the RSI filter). This will help to filter out times of very low volatility where we are unlikely to find a profitable trade. Use the "Show Data" checkbox to see what the values are on the indicator pane, then use those values to gauge what you want to filter out.
Both versions
Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform.)
Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address.
Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off)
Customizable Long and Close Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots.
HOW TO USE IT:
It is intended to be used in the 5-30 minute time frames, but you might be able to get a good configuration for higher time frames. I welcome feedback from other users on what they have found.
Find a pair with high volatility (example KUCOIN:ETH3LUSDT ) - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor.
Ideally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well.
Select a time frame in configuration for your indicator calculations.
Select the strategy config for time frame (resolution). I like to use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers.
Optimize your indicator without filters : customize your settings for MACD and MFI that are profitable with your chart and selected time frame calculation. Try different Take Profits (try about 2-5%) and stop loss (try about 5-8%). See if your back test is profitable and continue to optimize.
Use the Trend, RSI, ATR Filter to further refine your signals for entry. You will get less entries but you can increase your win ratio.
You can use the open and close messages for a platform integration, but I choose to set mine up on the destination platform and let the platform close it. With certain platforms you cannot be sure what your entry point actually was compared to Trading View due to slippage and timing, so I let the platform decide when it is actually profitable.
Limitations: this works rather well for short term, and does some good forward testing but back testing large data sets is a problem when switching from very small time frame to large time frame. For instance, finding a configuration that works on a one minute chart but then changing to a 1 hour chart means you lose some of your intra bar calclulations. There are some new features in pine script which might be able to address, this, but I have not had a chance to work on that issue.
AlphaTrendAlphaTrend is a brand new indicator which I've personally derived from Trend Magic and still developing:
In Magic Trend we had some problems, Alpha Trend tries to solve those problems such as:
1-To minimize stop losses and overcome sideways market conditions.
2-To have more accurate BUY/SELL signals during trending market conditions.
3- To have significant support and resistance levels.
4- To bring together indicators from different categories that are compatible with each other and make a meaningful combination regarding momentum, trend, volatility, volume and trailing stop loss.
according to those purposes Alpha Trend:
1- Acts like a dead indicator like its ancestor Magic Trendin sideways market conditions and doesn't give many false signals.
2- With another line with 2 bars offsetted off the original one Alpha Trend have BUY and SELL signals from their crossovers.
BUY / LONG when Alpha Trend line crosses above its 2 bars offsetted line and there would be a green filling between them
SELL / SHORT when Alpha Trend line crosses below its 2 bars offsetted line and filling would be red then.
3- Alpha Trend lines
-act as support levels when an uptrend occurs trailing 1*ATR (default coefficient) distance from bar's low values
-conversely act as resistancelevels when a downtrend occurs trailing 1*ATR (default coefficient) distance from bar's high values
and acting as trailing stop losses
the more Alpha Trend lines straighter the more supports and resistances become stronger.
4- Trend Magic has CCI in calculation
Alpha Trend has MFI as momentum, but when there's no volume data MFI has 0 values, so there's abutton to change calculation considering RSI after checking the relevant box to overcome this problem when there is no volume data in that chart.
Momentum: RSI and MFI
Trend: Magic Trend
Volatility: ATR,
Trailing STOP: ATR TRAILING STOP
Volume: MFI
Alpha trend is really a combination of different types...
default values:
coefficient: 1 which is the factor of trailing ATR value
common period: 14 which is the length of ATR MFI and RSI
Wish you all use AlphaTrend in profitable trades.
Kıvanç Özbilgiç
Breakout Trend Trading Strategy - V1Strategy in nutshell:
This strategy is made to be used in daily time-frames. Works better on trending instruments where volume is available. Hence, this is more suitable for trending shares rather than currencies, commodities and indexes where volume data is either not present or not reliable.
Breakout signifies the continuation of trend. Hence, trade in the direction of breakouts. Breakouts are calculated based on high volume and price movement in a day. This will be combined with few other conditions to generate buy and sell signals along with stop and compound targets. Supertrend is used for trend bias. Our buy and sell targets do not directly depend on the bias. But, entry criteria in opposite trend is made much difficult than that of trend direction. Further explanation of method and input parameters are explained below.
Backtesting parameters :
Capital and position sizing : Capital and position sizing parameters are set to test investing 2000 wholly on certain stock without compounding.
Initial Capital : 2000
Order Size : 100% of equity
Pyramiding : 1
ExitOnSignal : If unchecked exit is triggered solely on trailing stop
Trade Direction : Long, Short or All. Short condition is riskier than long conditions and often results in losses as per my observation. On most of the stocks trending up, strategy will not generate any short signals. This is achieved by comparing yearly high lows to previous two years to decide whether to allow short or long entries.
allowImmediateCompound : Applicable only if compounding/pyramiding is enabled in trade. If checked allows to place compounding orders immediately. If unchecked, it waits for stopline to cross order price before placing next compound.
Display Mode :
Targets : Whenever breakout happens, show marker for upTarget and downTarget
TargetChannel : Show up target and downtarget as a channel
Target With Stop : Along with targets, show also stop levels for breakouts
Up Channel : Channel created from UpTarget and respective stops
Down Channel : Channel created from DownTarget and respective stops
ShowTrailingStop : Shows trailing stop and compound lines when there is a trading position.
ShowTargetLevels : Shows Buy Sell target levels along with stop and compound lines. Trades are done as market orders. Hence, target levels are displayed after strategy makes the trade. Since only one order allowed per side without compounding, target, stop and compound levels are shown sometimes even without trade being made. These can be considered as entry levels if there is no existing position.
ShowPreviousLevels : Shows previous buy/sell target levels. When enabled, layout can look messy.
StopMultiplyer: To Set trailing stop loss.
BacktestYears: Number of years to include in backtest
So far my test cases are:
Positive : AAPL, AMZN, TSLA, RUN, VRT, ASX:APT
Negative Test Cases: WPL, WHC, NHC, WOW, COL, NAB (All ASX stocks)
Special test case: WDI
Negative test cases still show losses in backtesting. I have attempted including many conditions to eliminate or reduce the loss. But, further efforts has resulted in reduction in profits in positive cases as well. Still experimenting. Will update whenever I find improvements. Comments and suggestions welcome :)
A.I.Driven Aggressive Intraday Models For 20190610(New to TradingView and trying to learn how best to share our daily Model Trades with the awesome community here. Still learning the tools here and may not be using the best approaches to publish ideas/charts/scirpts - please help us learn by suggesting best practices)
>>>>> Model Trades Published pre-market this morning at tradersai blogspot <<<<<
***** Medium-Frequency Models*****: For today, Monday 06/10, our medium-frequency models indicate going long on a break above 2903 with a 10-point trailing stop, and going short on a break below 2845 with an 8-point trailing stop.
---Note: For the trades to trigger, the breaks should occur during the regular session hours starting at 9:30am ET. By design, these models do NOT open any new positions after 3:45pm. Only one open position at any given time.---
***** Aggressive Intraday Models *****: For today, Monday 06/10, our aggressive intraday models indicate going long on a break above 2895 or 2886 or 2874 with an 8-point trailing stop, and going short on a break below 2890 or 2882 or 2870 with a 6-point trailing stop.
---- Note: For the trades to trigger, the breaks should occur during regular session hours starting at 9:30am ET. Due to the intraday nature of these aggressive models, they indicate closing any open trades at 3:55pm and remaining flat into the session close. No opening of new positions after 3:45pm. Only one open position at any given time.----
Flagging BandsIntroduction
A pun between the word flag and the adjective flagging (less dynamic) , this indicator have two bands who react faster when in contact to the price. Imagine you are under sheets, if you abruptly rise, the sheets will instantaneously go up, then if you abruptly get down, the sheets will fall slowly until being in contact with a surface, this is because of a type of friction called drag or air resistance , this force is described in fluid dynamics and i inspired myself from that for the creation of the indicator.
The indicator
The indicator is made of two bands, one upper band and one lower band, then a weighted average of each bands, this average is weighted depending on which band the price is closer. The length control the period of the indicator, in general higher lengths will create wider bands, you must consider that this parameter behave differently than other ones and may create slower results in comparison with other bands indicators while having the same length period.
The indicator can use a simple breakout methodology (see trailing stop part) but can sometime provide support and resistance points, in fact i believe that when the average variability/volatility of band A is higher than the average variability/volatility of band B and that the price cross band B then price will reverse its direction, this claim is not justified, research is needed.
Trailing Stop Mod
It is possible to make the indicator act as a trailing stop, in order to do so just tick the trailing stop mod box.
The average/bands will automatically disappear being replaced by the trailing stop.
Conclusion
I was just playing around when making the skeleton of the indicator, i hope the code is easy to understand, if you need some kind of explanation just pm me, i'm always open to help people/receive suggestions.
Best Regards
ADX MTF mura visionOverview
ADX MTF — mura vision measures trend strength and visualizes a higher-timeframe (HTF) ADX on any chart. The current-TF ADX is drawn as a line; the HTF ADX is rendered as “step” segments to reflect closed HTF bars without repainting. Optional soft fills highlight the 20–25 (trend forming) and 40–50 (strong trend) zones.
How it works
ADX (current TF) : Classic Wilder formulation using DI components and RMA smoothing.
HTF ADX : Requested via request.security(..., lookahead_off, gaps_off).
When a new HTF bar opens, the previous value is frozen as a horizontal segment.
The current HTF bar is shown as a live moving segment.
This staircase look is expected on lower timeframes.
Auto timeframe mapping
If “Auto” is selected, the HTF is derived from the chart TF:
<30m → 60m, 30–<240m → 240m, 240m–<1D → 1D, 1D → 1W, 1W/2W → 1M, ≥1M → same.
Inputs
DI Length and ADX Smoothing — core ADX parameters.
Higher Time Frame — Auto or a fixed TF.
Line colors/widths for current ADX and HTF ADX.
Fill zone 20–25 and Fill zone 40–50 — optional light background fills.
Number of HTF ADX Bars — limits stored HTF segments to control chart load.
Reading the indicator
ADX < 20: typically range-bound conditions; trend setups require extra caution.
20–25: trend emergence; breakouts and continuation structures gain validity.
40–50: strong trend; favor continuation and manage with trailing stops.
>60 and turning down: possible trend exhaustion or transition toward range.
Note: ADX measures strength, not direction. Combine with your directional filter (e.g., price vs. MA, +DI/−DI, structure/levels).
Non-repainting behavior
HTF values use lookahead_off; closed HTF bars are never revised.
The only moving piece is the live segment for the current HTF bar.
Best practices
Use HTF ADX as a regime filter; time entries with the current-TF ADX rising through your threshold.
Pair with ATR-based stops and a MA/structure filter for direction.
Consider higher thresholds on highly volatile altcoins.
Performance notes
The script draws line segments for HTF bars. If your chart becomes heavy, reduce “Number of HTF ADX Bars.”
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk.
BTC_Hull Suite StrategyOverview
BTC_Hull Suite Strategy is a trend-following system designed to keep drawdowns modest while staying exposed during genuine uptrends. It uses the Hull Moving Average (HMA) for fast, low-lag trend turns, a long-term SMA filter to avoid chop, and a percentage trailing stop to protect gains.
🔧 What the strategy includes
- Hull Moving Average (HMA) with configurable length (default 55)
- SMA filter (default 130) to trade only with higher-timeframe bias
- Trailing stop in percent (default 5%) based on the running peak of close
- Execution model: signals are evaluated on the previous bar and entries are placed at the next bar’s open (TradingView default)
📈 How it works:
✅ Entry (Long):
Detects a bullish Hull turn by comparing the current HMA to its value 3 bars ago:
h > h3 and h <= h3 → HMA just turned up on the prior bar
The SMA filter must confirm: close > sma
If both are true (and within the date window), a long is opened next bar at the open
❌ Exit:
Hull turn down: h < h3 and h >= h3 , or
Trailing stop: price closes below peak * (1 – trailingPct)
Either condition closes the position at the current bar’s close
Notes:
pyramiding = 1 → allows one add-on (maximum two concurrent long positions)
Position sizing defaults to 20% of equity per entry (adjustable in Properties)
Who is this for?
This strategy is tailored for Bitcoin traders (spot or perpetuals) who want a rules-based, low-lag trend system with built-in drawdown protection.
It works best on Daily or 4H charts, but parameters can be adapted for other timeframes.
⚠️ Disclaimer
This strategy is provided for educational and research purposes only.
It is not financial advice. Markets are risky — always test on your own data, include realistic fees/slippage, and forward-test before using real capital.
CTA-min D1 — Donchian 55/20 Trend Breakout (ATR Risk)What it is
A clean, daily trend-following breakout inspired by classic CTA/Turtle logic. It buys strength and sells weakness, then lets winners run with a channel-based trailing stop. No curve-fitting, no clutter—just rules.
How it trades
Timeframe: Daily (D1)
Entry: Close breaks the previous 55-bar Donchian channel (above for longs, below for shorts).
Exit/Trail: Trailing stop at the 20-bar Donchian channel on the opposite side (no fixed TP).
Risk: Initial stop = ATR(N) × stopMult (ATR is smoothed). Position size risks riskPct% of equity based on stop distance.
Labels: “BUY/SELL” only on the entry bar; “STOP BUY/STOP SELL” only on the exit bar.
Pyramiding: Off (one position at a time).
Regime Alignment with EMAs (recommended filter, not enforced by code)
Add EMA 50 and EMA 200 to the D1 chart.
Long bias: take BUY signals only when EMA50 > EMA200 (bullish regime).
Short bias: take SELL signals only when EMA50 < EMA200 (bearish regime).
Optional: for extra selectivity, require the H4 EMAs (50/200) to align with D1 before acting on a signal.
Inputs
entryN (55), exitN (20), atrLen (20), atrSmooth (10), stopMult (2.0), riskPct (0.5%–1.0% recommended).
Works well on (tested by user)
BTCUSD (Bitcoin), EURUSD, GBPJPY, NAS100/US100, USDJPY, AUDUSD, XAGUSD (Silver), US30 (Dow), JP225 (Nikkei), EURGBP, NZDUSD, EURCHF, USDCHF.
How to use
Apply to D1 charts. Review once per day after the daily close and execute next session open to mirror backtest assumptions. Best used as a portfolio strategy across multiple uncorrelated markets. Use the EMA alignment above as a discretionary regime filter to reduce false breakouts.
Notes
For educational use. Markets involve risk; past performance does not guarantee future results. Use responsible position sizing.
Supertrend - Support & ResistanceSupertrend – Multi-Timeframe Support & Resistance
This script overlays multiple Supertrend bands from higher timeframes on a single chart and treats them as dynamic support and resistance. The goal is simple: see the bigger picture without leaving your current timeframe.
What it does
• Calculates Supertrend using the same ATR Length and Factor across 5m, 15m, 30m, 1h, 4h, 8h, 12h, and 1D.
• Pulls each timeframe via request.security(..., lookahead_off) so values only update on candle close. No look-ahead, no “teleporting” lines.
• Plots each timeframe’s Supertrend as an on-chart band with increasing transparency the higher you go, so you can visually separate short-term vs higher-timeframe structure.
• Colors indicate direction:
• Green = bearish band above price (acting as resistance)
• Red = bullish band below price (acting as support)
• Drops compact labels (5m, 15m, 30m, etc.) every 20 bars right on the corresponding Supertrend level, so you can quickly identify which line belongs to which timeframe.
Why this helps
Supertrend is great for trend definition and trailing stops. But one timeframe alone can whipsaw you. By stacking multiple timeframes:
• Confluence stands out. When several higher-TF bands cluster, price often reacts.
• You see where intraday pullbacks are likely to pause (lower TF bands) and where trend reversals are more meaningful (higher TF bands).
• It’s easier to align entries with the dominant trend while still timing them on your working timeframe.
How it works (quick refresher)
Supertrend uses ATR to offset a median price with a multiplier (Factor). When price crosses the band, direction flips and the trailing line switches sides. This script exposes:
• ATR Length (default 10): sensitivity of the ATR. Smaller = tighter band, more flips. Larger = smoother, fewer flips.
• Factor (default 3.0): multiplier applied to ATR. Larger = wider band, more conservative.
The same settings are used for all timeframes for clean, apples-to-apples comparisons.
How to use it
• Trend alignment: Prefer longs when most higher-TF lines are below price (red support). Prefer shorts when most are above price (green resistance).
• Pullback entries: In an uptrend, look for pullbacks into a lower-TF red band that lines up near a higher-TF red band. That overlap is your “zone.”
• Breakout confirmation: A strong break and close beyond a higher-TF band carries more weight than a lower-TF poke.
• Stops and targets: Use the nearest opposing band as a logic point. For example, in a long, if price loses the lower-TF red band and the next higher-TF band is close overhead, trim or tighten.
Signals you can read at a glance
• Stacking: Multiple red bands beneath price = strong bullish structure. Multiple green bands above price = strong bearish structure.
• Compression: Bands from different TFs squeezing together often precede expansion.
• Flip zones: When a higher-TF band flips side, treat that level as newly minted support/resistance.
Design choices in the code
• lookahead_off on all request.security calls avoids repainting from future data.
• Increasing transparency as the timeframe rises makes lower-TF context visible without drowning the chart.
• Labels every 20 bars keep the chart readable while still giving you frequent anchors.
Good to know (limits and tips)
• This is an overlay of closed-bar Supertrend values from higher TFs. Intrabar moves can still exceed a band before close; final signal prints at candle close of that timeframe.
• Using the same ATR/factor across TFs makes confluence easier to judge. If you need independent tuning per TF, you can clone the security calls and add separate inputs.
• On very low timeframes with many symbols, multiple request.security calls can be heavy. If performance drops, hide one or two higher TFs or increase the label spacing.
Risk note
This is a context tool, not an auto-trader. Combine it with structure (HH/HL vs LH/LL), volume, and your execution rules. Always test on your market and timeframe before committing real capital.
Buy Dip Multiple Positions🎯 Objective
This strategy aims to capture aggressive dip-buying opportunities during volume-confirmed price reversals in short term downtrending markets. It is optimized for multi-entry precision, adaptive stop management, and real-time trade monitoring.
It allows traders to execute multiple long entries and dynamically trail stops to maximize gains while capping risk. Designed with modular inputs, this strategy is ideal for intraday momentum scalping and swing trading alike.
🔧 How It Operates
The strategy triggers buy entries when three conditions align:
Reversal Candle: Current close < prior low × 0.998
Volume Confirmation: Current volume exceeds average of prior 2 bars × 1.2
Price Surge Threshold: Current close below user-defined % of close from N bars ago
Once a reversal candle is confirmed, the strategy:
Calculates position size based on user-defined risk parameters
Allows up to a max number of simultaneous trades
Trailing Stop kicks in 2 bars after entry, climbing by a user-defined % each bar
Exit occurs when price hits either the trailing stop or target price
🛠️ Inputs
Users can customize all major aspects of the strategy:
Max Simultaneous Trades: Default 20
Trailing Stop Increase per Bar (%): Default 1%
Initial Stop (% of Reversal Low): Default 85%
Target Price (% Above Reversal Low): Default 60%
Price Surge Threshold (% of Past Close): Default 89%
Surge Lookback Bars: Default 14
Show Active Trade Dot: Toggle to display green trade status dot
📊 Visual Overlays
The chart displays the following:
Marker Description
🟢 Green Dot Active trade (toggleable)
🔴 Red Dot Max trades reached
📈 Trailing Stop Applied internally but not plotted (can be added)
📊 Metrics Plots of win rate, winning/losing trade counts
📎 Notes
Strategy uses strategy.cash allocation logic
Entry size adapts to account equity and risk per trade
All parameters are accessible via the settings panel
Built entirely in Pine Script v5
This strategy balances flexibility and precision, giving traders control over entry timing, capital allocation, and stop behavior. Ideal for those looking to automate dip-buy setups with tactical overlays and visual alerts.
Rifle UnifiedThis script is designed for use on 30-second charts of Dow Jones-related symbols (YM, MYM, US30). It provides automated buy and sell signals using a combination of price action, RSI (Relative Strength Index), and volume analysis. The script is intended for both live trading signals and backtesting, with configurable risk management and debugging features.
Core Functionality
1. Signal Generation Logic
Trigger: The algorithm looks for a sharp price move (drop or rise) of a user-defined threshold (default: 80 points) within a specified lookback window (default: 20 minutes).
Levels: It monitors for price drops below specific numerical levels ending in 23, 43, or 73 (e.g., 42223, 42273).
RSI Condition: When price falls below one of these levels and the RSI is below 30, the setup is considered active.
Buy Signal: A buy is triggered if, after setup:
Price rises back above the level,
The RSI rate of change (ROC) indicates exhaustion of the drop,
The current bar shows positive momentum.
2. Trade Management
Stop Loss & Take Profit: Configurable fixed or trailing stop loss and take profit levels are plotted and managed automatically.
Exit Signals: The script signals exit based on price action relative to these risk management levels.
3. Filters & Enhancements
Parabolic Move Filter: Prevents entries during extreme price moves.
Dead Cat Bounce Filter: Avoids false signals after sharp reversals.
Volume Filter: Optionally requires volume conditions for trade entries (especially for shorts).
Multiple Confirmation Layers : Includes checks for 5-minute RSI, momentum, and price retracement.
User Inputs & Customization
Trade Direction: Toggle between LONG and SHORT signal generation.
Trigger Settings: Adjust thresholds for price moves, lookback windows, RSI ROC, and volume requirements.
Trade Settings: Set take profit, stop loss, and trailing stop behavior.
Debug & Visualization: Enable or disable various plots, labels, and debug tables for in-depth analysis.
Backtesting: Integrated backtester with summary and detailed statistics tables.
Technical Features
Uses External Libraries: Relies on RifleShooterLib for core logic and BackTestLib for backtesting and statistics.
Multi-timeframe Analysis: Incorporates both 30-second and 5-minute RSI calculations.
Chart Annotations: Plots entry/exit points, risk levels, and debug information directly on the chart.
Alert Conditions: Built-in alert triggers for key events (initial move, stall, entry).
Intended Use
Markets: Dow Jones symbols (YM, MYM, US30, or US30 CFD).
Timeframe: 30-second chart.
Purpose: Automated signal generation for discretionary or algorithmic trading, with robust risk management and backtesting support.
Notable Customization & Extension Points
Momentum Calculation: Plans to replace the current momentum measure with "sqz momentum".
Displacement Logic: Future update to use "FVG concept" for displacement.
High-Contrast RSI: Optional visual enhancements for RSI extremes.
Time-based Stop: Consideration for adding a time-based stop mechanism.
This script is highly modular, with extensive user controls, and is suitable for both live trading and historical analysis of Dow Jones index movements
Alpha - Combined BreakoutThis Pine Script indicator, "Alpha - Combined Breakout," is a combination between Smart Money Breakout Signals and UT Bot Alert, The UT Bot Alert indicator was initially developer by Yo_adriiiiaan
The idea of original code belongs HPotter.
This Indicator helps you identify potential trading opportunities by combining two distinct strategies: Smart Money Breakout and a modified UT Bot (likely a variation of the Ultimate Trend Bot). It provides visual signals, draws lines for potential take profit (TP) and stop loss (SL) levels, and includes a dashboard to track performance metrics.
Tutorial:
Understanding and Using the "Alpha - Combined Breakout" Indicator
This indicator is designed for traders looking for confirmation of market direction and potential entry/exit points by blending structural analysis with a trend-following oscillator.
How it Works (General Concept)
The indicator combines two main components:
Smart Money Breakout: This part identifies significant breaks in market structure, which "smart money" traders often use to gauge shifts in supply and demand. It looks for higher highs/lows or lower highs/lows and flags when these structural points are broken.
UT Bot: This is a trend-following component that generates buy and sell signals based on price action relative to an Average True Range (ATR) based trailing stop.
You can choose to use these signals independently or combined to generate trading alerts and visual cues on your chart. The dashboard provides a quick overview of how well the signals are performing based on your chosen settings and display mode.
Parameters and What They Do
Let's break down each input parameter:
1. Smart Money Inputs
These settings control how the indicator identifies market structure and breakouts.
swingSize (Market Structure Time-Horizon):
What it does: This integer value defines the number of candles used to identify significant "swing" (pivot) points—highs and lows.
Effect: A larger swingSize creates a smoother market structure, focusing on longer-term trends. This means signals might appear less frequently and with some delay but could be more reliable for higher timeframes or broader market movements. A smaller swingSize will pick up more minor market structure changes, leading to more frequent but potentially noisier signals, suitable for lower timeframes or scalping.
Analogy: Think of it like a zoom level on your market structure map. Higher values zoom out, showing only major mountain ranges. Lower values zoom in, showing every hill and bump.
bosConfType (BOS Confirmation Type):
What it does: This string input determines how a Break of Structure (BOS) is confirmed. You have two options:
'Candle Close': A breakout is confirmed only if a candle's closing price surpasses the previous swing high (for bullish) or swing low (for bearish).
'Wicks': A breakout is confirmed if any part of the candle (including its wick) surpasses the previous swing high or low.
Effect: 'Candle Close' provides stronger, more conservative confirmation, as it implies sustained price movement beyond the structure. 'Wicks' provides earlier, more aggressive signals, as it captures momentary breaches of the structure.
Analogy: Imagine a wall. 'Candle Close' means the whole person must get over the wall. 'Wicks' means even a finger touching over the top counts as a breach.
choch (Show CHoCH):
What it does: A boolean (true/false) input to enable or disable the display of "Change of Character" (CHoCH) labels. CHoCH indicates the first structural break against the current dominant trend.
Effect: When true, it helps identify early signs of a potential trend reversal, as it marks where the market's "character" (its tendency to make higher highs/lows or lower lows/highs) first changes.
BULL (Bullish Color) & BEAR (Bearish Color):
What they do: These color inputs allow you to customize the visual appearance of bullish and bearish signals and lines drawn by the Smart Money component.
Effect: Purely cosmetic, helps with visual identification on the chart.
sm_tp_sl_multiplier (SM TP/SL Multiplier (ATR)):
What it does: A float value that acts as a multiplier for the Average True Range (ATR) to calculate the Take Profit (TP) and Stop Loss (SL) levels specifically when you're in "Smart Money Only" mode. It uses the ATR calculated by the UT Bot's nLoss_ut as its base.
Effect: A higher multiplier creates wider TP/SL levels, potentially leading to fewer trades but larger wins/losses. A lower multiplier creates tighter TP/SL levels, potentially leading to more frequent but smaller wins/losses.
2. UT Bot Alerts Inputs
These parameters control the behavior and sensitivity of the UT Bot component.
a_ut (UT Key Value (Sensitivity)):
What it does: This integer value adjusts the sensitivity of the UT Bot.
Effect: A higher value makes the UT Bot less sensitive to price fluctuations, resulting in fewer and potentially more reliable signals. A lower value makes it more sensitive, generating more signals, which can include more false signals.
Analogy: Like a noise filter. Higher values filter out more noise, keeping only strong signals.
c_ut (UT ATR Period):
What it does: This integer sets the look-back period for the Average True Range (ATR) calculation used by the UT Bot. ATR measures market volatility.
Effect: This period directly influences the calculation of the nLoss_ut (which is a_ut * xATR_ut), thus defining the distance of the trailing stop loss and take profit levels. A longer period makes the ATR smoother and less reactive to sudden price spikes. A shorter period makes it more responsive.
h_ut (UT Signals from Heikin Ashi Candles):
What it does: A boolean (true/false) input to determine if the UT Bot calculations should use standard candlestick data or Heikin Ashi candlestick data.
Effect: Heikin Ashi candles smooth out price action, often making trends clearer and reducing noise. Using them for UT Bot signals can lead to smoother, potentially delayed signals that stay with a trend longer. Standard candles are more reactive to raw price changes.
3. Line Drawing Control Buttons
These crucial boolean inputs determine which type of signals will trigger the drawing of TP/SL/Entry lines and flags on your chart. They act as a priority system.
drawLinesUtOnly (Draw Lines: UT Only):
What it does: If checked (true), lines and flags will only be drawn when the UT Bot generates a buy/sell signal.
Effect: Isolates UT Bot signals for visual analysis.
drawLinesSmartMoneyOnly (Draw Lines: Smart Money Only):
What it does: If checked (true), lines and flags will only be drawn when the Smart Money Breakout logic generates a bullish/bearish breakout.
Effect: Overrides drawLinesUtOnly if both are checked. Isolates Smart Money signals.
drawLinesCombined (Draw Lines: UT & Smart Money (Combined)):
What it does: If checked (true), lines and flags will only be drawn when both a UT Bot signal AND a Smart Money Breakout signal occur on the same bar.
Effect: Overrides both drawLinesUtOnly and drawLinesSmartMoneyOnly if checked. Provides the strictest entry criteria for line drawing, looking for strong confluence.
Dashboard Metrics Explained
The dashboard provides performance statistics based on the lines drawing control button selected. For example, if "Draw Lines: UT Only" is active, the dashboard will show stats only for UT Bot signals.
Total Signals: The total number of buy or sell signals generated by the selected drawing mode.
TP1 Win Rate: The percentage of signals where the price reached Take Profit 1 (TP1) before hitting the Stop Loss.
TP2 Win Rate: The percentage of signals where the price reached Take Profit 2 (TP2) before hitting the Stop Loss.
TP3 Win Rate: The percentage of signals where the price reached Take Profit 3 (TP3) before hitting the Stop Loss. (Note: TP1, TP2, TP3 are in order of distance from entry, with TP3 being furthest.)
SL before any TP rate: This crucial metric shows the number of times the Stop Loss was hit / the percentage of total signals where the stop loss was triggered before any of the three Take Profit levels were reached. This gives you a clear picture of how often a trade resulted in a loss without ever moving into profit target territory.
Short Tutorial: How to Use the Indicator
Add to Chart: Open your TradingView chart, go to "Indicators," search for "Alpha - Combined Breakout," and add it to your chart.
Access Settings: Once added, click the gear icon next to the indicator name on your chart to open its settings.
Choose Your Signal Mode:
For UT Bot only: Uncheck "Draw Lines: Smart Money Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: UT Only" is checked.
For Smart Money only: Uncheck "Draw Lines: UT Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: Smart Money Only" is checked.
For Combined Signals: Check "Draw Lines: UT & Smart Money (Combined)". This will override the other two.
Adjust Parameters:
Start with default settings. Observe how the signals appear on your chosen asset and timeframe.
Refine Smart Money: If you see too many "noisy" market structure breaks, increase swingSize. If you want earlier breakouts, try "Wicks" for bosConfType.
Refine UT Bot: Adjust a_ut (Sensitivity) to get more or fewer UT Bot signals. Change c_ut (ATR Period) if you want larger or smaller TP/SL distances. Experiment with h_ut to see if Heikin Ashi smoothing suits your trading style.
Adjust TP/SL Multiplier: If using "Smart Money Only" mode, fine-tune sm_tp_sl_multiplier to set appropriate risk/reward levels.
Interpret Signals & Lines:
Buy/Sell Flags: These indicate the presence of a signal based on your selected drawing mode.
Entry Line (Blue Solid): This is where the signal was generated (usually the close price of the signal candle).
SL Line (Red/Green Solid): Your calculated stop loss level.
TP Lines (Dashed): Your three calculated take profit levels (TP1, TP2, TP3, where TP3 is the furthest target).
Smart Money Lines (BOS/CHoCH): These lines indicate horizontal levels where market structure breaks occurred. CHoCH labels might appear at the first structural break against the prior trend.
Monitor Dashboard: Pay attention to the dashboard in the top right corner. This dynamically updates to show the win rates for each TP and, crucially, the "SL before any TP rate." Use these statistics to evaluate the effectiveness of the indicator's signals under your current settings and chosen mode.
*
Set Alerts (Optional): You can set up alerts for any of the specific signals (UT Bot Long/Short, Smart Money Bullish/Bearish, or the "Line Draw" combined signals) to notify you when they occur, even if you're not actively watching the chart.
By following this tutorial, you'll be able to effectively use and customize the "Alpha - Combined Breakout" indicator to suit your trading strategy.
Warrior Trading Momentum Strategy
# 🚀 Warrior Trading Momentum Strategy - Day Trading Excellence
## Strategy Overview
This comprehensive Pine Script strategy replicates the proven methodologies taught by Ross Cameron and the Warrior Trading community. Designed for active day traders, it identifies high-probability momentum setups with strict risk management protocols.
## 📈 Core Trading Setups
### 1. Gap and Go Trading
- **Primary Focus**: Stocks gapping up 2%+ with volume confirmation
- **Entry Logic**: Breakout above gap open with momentum validation
- **Volume Filter**: 2x average volume requirement for quality setups
### 2. ABCD Pattern Recognition
- **Pattern Detection**: Automated identification of classic ABCD reversal patterns
- **Validation**: A-B and C-D move relationship analysis
- **Entry Trigger**: D-point breakout with volume confirmation
### 3. VWAP Momentum Plays
- **Strategy**: Entries near VWAP with bounce confirmation
- **Distance Filter**: Configurable percentage distance for optimal entries
- **Direction Bias**: Above VWAP bullish momentum validation
### 4. Red to Green Reversals
- **Setup**: Reversal patterns after consecutive red candles
- **Confirmation**: Volume spike with bullish close required
- **Momentum**: Trend change validation with RSI support
### 5. Breakout Momentum
- **Logic**: Breakouts above recent highs with volume
- **Filters**: EMA20 and RSI confirmation for quality
- **Trend**: Established momentum direction validation
## ⚡ Key Features
### Smart Risk Management
- **Position Sizing**: Automatic calculation based on account risk percentage
- **Stop Loss**: 2 ATR-based stops for volatility adjustment
- **Take Profit**: Configurable risk-reward ratios (default 1:2)
- **Trailing Stops**: Profit protection with adjustable triggers
### Advanced Filtering System
- **Time Filters**: Market hours trading with lunch hour avoidance
- **Volume Confirmation**: Multi-timeframe volume analysis
- **Momentum Indicators**: RSI and moving average trend validation
- **Quality Control**: Multiple confirmation layers for signal accuracy
### PDT-Friendly Design
- **Trade Limiting**: Built-in daily trade counter for accounts under $25K
- **Selective Trading**: Priority scoring system for A+ setups only
- **Quality over Quantity**: Maximum 2-3 high-probability trades per day
## 🎯 Optimal Usage
### Best Timeframes
- **Primary**: 5-minute charts for entry timing
- **Secondary**: 1-minute for precise execution
- **Context**: Daily charts for gap analysis
### Ideal Market Conditions
- **Volatility**: High-volume, momentum-driven markets
- **Stocks**: Market cap $100M+, average volume 1M+ shares
- **Sectors**: Technology, biotech, growth stocks with news catalysts
### Account Requirements
- **Minimum**: $500+ for proper position sizing
- **Recommended**: $25K+ for unlimited day trading
- **Risk Tolerance**: Active day trading experience preferred
## 📊 Performance Optimization
### Entry Criteria (All Must Align)
1. ✅ Time filter (market hours, avoid lunch)
2. ✅ Volume spike (2x+ average volume)
3. ✅ Momentum confirmation (RSI 50-80)
4. ✅ Trend alignment (above EMA20)
5. ✅ Pattern completion (setup-specific)
### Risk Parameters
- **Maximum Risk**: 1-2% per trade
- **Position Size**: 25% of account maximum
- **Stop Loss**: 2 ATR below entry
- **Take Profit**: 2:1 risk-reward minimum
## 🔧 Customization Options
### Gap Trading Settings
- Minimum gap percentage threshold
- Volume multiplier requirements
- Gap validation criteria
### Pattern Recognition
- ABCD ratio parameters
- Swing point sensitivity
- Pattern completion filters
### Risk Management
- Risk-reward ratio adjustment
- Maximum daily trade limits
- Trailing stop trigger levels
### Time and Session Filters
- Trading session customization
- Lunch hour avoidance toggle
- Market condition filters
## ⚠️ Important Disclaimers
### Risk Warning
- **High Risk**: Day trading involves substantial risk of loss
- **Capital Requirements**: Only trade with risk capital
- **Experience**: Strategy requires active monitoring and experience
- **Market Conditions**: Performance varies with market volatility
### PDT Considerations
- **Day Trading Rules**: Accounts under $25K limited to 3 day trades per 5 days
- **Compliance**: Strategy includes trade counting for PDT compliance
- **Alternative**: Consider swing trading modifications for smaller accounts
### Backtesting vs Live Trading
- **Slippage**: Real trading involves execution delays and slippage
- **Commissions**: Factor in broker fees for accurate performance
- **Market Impact**: Large positions may affect fill prices
- **Psychological Factors**: Live trading involves emotional challenges
## 📚 Educational Value
This strategy serves as an excellent learning tool for understanding:
- Professional day trading methodologies
- Risk management principles
- Pattern recognition techniques
- Volume and momentum analysis
- Multi-timeframe analysis
## 🤝 Community and Support
Based on proven Warrior Trading methodologies with active community support. Strategy includes comprehensive plotting and information tables for educational purposes and trade analysis.
---
**Disclaimer**: This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
**Tags**: #DayTrading #Momentum #WarriorTrading #GapAndGo #ABCD #VWAP #PatternTrading #RiskManagement
Momentum Trail Oscillator [AlgoAlpha]🟠 OVERVIEW
This script builds a Momentum Trail Oscillator designed to measure directional momentum strength and dynamically track shifts in trend bias using a combination of smoothed price change calculations and adaptive trailing bands. The oscillator aims to help traders visualize when momentum is expanding or contracting and to identify transitions between bullish and bearish conditions.
🟠 CONCEPTS
The core idea combines two methods. First, the script calculates a normalized momentum measure by smoothing price changes relative to their absolute values, which creates a bounded oscillator that highlights whether moves are directional or choppy. Second, it uses a trailing band mechanism inspired by volatility stops, where bands adapt to the oscillator’s volatility, adjusting the thresholds that define a shift in directional bias. This dual approach seeks to address both the magnitude and persistence of momentum, reducing false signals in ranging markets.
🟠 FEATURES
The momentum calculation applies Hull Moving Averages and double EMA smoothing to price changes, producing a smooth, responsive oscillator.
The trailing bands are derived by offsetting a weighted moving average of the oscillator by a multiple of recent momentum volatility. A directional state variable tracks whether the oscillator is above or below the bands, updating when the momentum crosses these dynamic thresholds.
Overbought and oversold zones are visually marked between fixed levels (+30/+40 and -30/-40), with color fills to highlight when momentum is in extreme areas. The script plots signals on both the oscillator pane and optionally overlays markers on the main price chart for clarity.
🟠 USAGE
To use the indicator, apply it to any symbol and timeframe. The “Oscillator Length” controls how sensitive the momentum line is to recent price changes—lower values react faster, higher values smooth out noise. The “Trail Multiplier” sets how far the adaptive bands sit from the oscillator mid-line, which affects how often trend state changes occur. When the momentum line rises into the upper filled area and then crosses back below +40, it signals potential overbought exhaustion. The opposite applies for the oversold zone below -40. The plotted trailing bands switch visibility depending on the current directional state: when momentum is trending up, the lower band acts as the active trailing stop, and when trending down, the upper band becomes active. Trend changes are marked with circular symbols when the direction variable flips, and optional overlay arrows appear on the price chart to highlight overbought or oversold reversals. Traders can combine these signals with their own price action or volume analysis to confirm entries or exits.
ATR Overlay with Trailing Flip [ask2maniish]📘 ATR Overlay with Trailing Flip
🔍 Overview
The ATR Overlay with Trailing Flip is a dynamic, visually-enhanced overlay indicator designed to assist traders in trend detection, trailing stop management, and volatility-based decision making. It leverages the Average True Range (ATR) with optional dynamic multipliers, filters, and alerts to enhance trade execution precision.
⚙️ Features Summary
✅ Static & dynamic ATR multiplier
✅ Customizable trailing stop logic
✅ Volume & Bollinger Band filters
✅ Buy/Sell label signals with alerts
✅ ATR bands with color fill
✅ Optional candle coloring based on trend
✅ Table showing current ATR multiplier
✅ Fully customizable visual controls
🔧 User Inputs
📘 Info Panel
ATR Usage Guide
Tooltip with trading-style recommendations:
Scalping: ATR 5–10, Intraday: ATR 10–14 , Swing: ATR 14–21 , Position: ATR 21–50
📊 Visual Elements
📈 Plots
Upper/Lower ATR Bands
ATR Fill Zone
Dynamic Trailing Stop Line
🕯 Candle Coloring
Candles colored green (uptrend) or red (downtrend)
Wick coloring matches body
🏷 Signal Labels
"BUY" below candle when trend flips up
"SELL" above candle when trend flips down
📊 Table (Top Right)
Displays current multiplier value:
If static: Static: x.x
If dynamic: percentage format based on ATR ratio
🔔 Alerts
Two alert conditions:
Flip to Long → "📈 ATR flip to LONG"
Flip to Short → "📉 ATR flip to SHORT"
Sound can be enabled for real-time feedback.
🧠 Best Practices
Combine this tool with support/resistance or order flow indicators
Use dynamic ATR during volatile periods for better adaptability
Filter signals in ranging markets with BBand Width Filter
For scalping, reduce ATR period and multiplier for tighter risk
🛠️ Customization Tips
Adjust trailingPeriod for tighter/looser stops
Use color inputs to match your charting theme
Disable features (labels/fill) to declutter chart
UT Bot + Hull MA Confirmed Signal DelayOverview
This indicator is designed to detect high-probability reversal entry signals by combining "UT Bot Alerts" (UT Bot Alerts script adapted from QuantNomad - Originally developed by Yo_adriiiiaan and idea of original code for "UT Bot Alerts" from HPotter ) with confirmation from a Hull Moving Average (HMA) Developed by Alan Hull . It focuses on capturing momentum shifts that often precede trend reversals, helping traders identify potential entry points while filtering out false signals.
🔍 How It Works
This strategy operates in two stages:
1. UT Bot Momentum Trigger
The foundation of this script is the "UT Bot Alerts" , which uses an ATR-based trailing stop to detect momentum changes. Specifically:
The script calculates a dynamic stop level based on the Average True Range (ATR) multiplied by a user-defined sensitivity factor (Key Value).
When price closes above this trailing stop and the short-term EMA crosses above the stop, a potential buy setup is triggered.
Conversely, when price closes below the trailing stop and the short-term EMA crosses below, a potential sell setup is triggered.
These UT Bot alerts are designed to identify the initial shift in market direction, acting as the first filter in the signal process.
2. Hull MA Confirmation
To reduce noise and false triggers from the UT Bot alone, this script delays the entry signal until price confirms the move by crossing the Hull Moving Average (or its variants: HMA, THMA, EHMA) in the same direction as the UT Bot trigger:
A Buy Signal is generated only when:
A UT Bot Buy condition is active, and
The price closes above the Hull MA.
Or, if a UT Bot Buy condition was recently triggered but price hadn’t yet crossed above the Hull MA, a delayed buy is signaled when price finally breaks above it.
A Sell Signal is generated only when:
A UT Bot Sell condition is active, and
The price closes below the Hull MA.
Similarly, a delayed sell signal can occur if price breaks below the Hull MA shortly after a UT Bot Sell trigger.
This dual-confirmation process helps traders avoid premature entries and improves the reliability of reversal signals.
📈 Best Use Cases
Reversal Trading: This strategy is particularly well-suited for catching early trend reversals rather than trend continuations. It excels at identifying momentum pivots that occur after pullbacks or exhaustion moves.
Heikin Ashi Charts Recommended: The script offers a Heikin Ashi mode for smoothing out noise and enhancing visual clarity. Using Heikin Ashi candles can further reduce whipsaws and highlight cleaner shifts in trend direction.
MACD Alignment: For best results, trade in the direction of the MACD trend or use it as a filter to avoid counter-trend trades.
⚠️ Important Notes
Entry Signals Only: This indicator only plots entry points (Buy and Sell signals). It does not define exit strategies, so users should manage trades manually using trailing stops, profit targets, or other exit indicators.
No Signal = No Confirmation: You may see a UT Bot trigger without a corresponding Buy/Sell signal. This means the price did not confirm the move by crossing the Hull MA, and therefore the setup was considered too weak or incomplete.
⚙️ Customization
UT Bot Sensitivity: Adjust the “Key Value” and “ATR Period” to make the UT Bot more or less reactive to price action.
Use Heikin Ashi: Toggle between standard candles or Heikin Ashi in the indicator settings for a smoother trading experience.
The HMA length may also be modified in the indicator settings from its standard 55 length to increase or decrease the sensitivity of signal.
This strategy is best used by traders looking for a structured, logic-based way to enter early into reversals with added confirmation to reduce risk. By combining two independent systems—momentum detection (UT Bot) and trend confirmation (Hull MA)—it aims to provide high-confidence entries without overwhelming complexity.
Let the indicator guide your entries—you manage the exits.
Examples of use:
Futures:
Stock:
Crypto:
As shown in the snapshots this strategy, like most, works the best when price action has a sizeable ATR and works the least when price is choppy. Therefore it is always best to use this system when price is coming off known support or resistance levels and when it is seen to respect short term EMA's like the 9 or 15.
My personal preference to use this system is for day trading on a 3 or 5 minute chart. But it is valid for all timeframes and simply marks a high probability for a new trend to form.
Sources:
Quant Nomad - www.tradingview.com
Yo_adriiiiaan - www.tradingview.com
HPotter - www.tradingview.com
Hull Moving Average - alanhull.com
