Efficient Trend Step Mod (v.3)This is a version 3 of my mod of the script by alexgrover - Efficient Trend Step.
The logic is based on calculation of Kaufman's efficiency ratio (ER):
ER = Direction / Volatility
where:
Direction = ABS (Close – Close )
Volatility = n ∑(ABS(Close – Close ))
n = The efficiency ratio period.
This version features volatility and volume filter and custom performance module.
在腳本中搜尋"Volatility"
Combo VIX and DXYHello traders
It's been a while :)
I wanted to share a cool script that you can use for any asset class.
The script isn't really special - though what it displays is super helpful
Volatility Index $VIX
(Source: Wikipedia)
VIX is the ticker symbol and the popular name for the Chicago Board Options Exchange's CBOE Volatility Index, a popular measure of the stock market's expectation of volatility based on S&P 500 index options.
It is calculated and disseminated on a real-time basis by the CBOE, and is often referred to as the fear index or fear gauge.
I consider that a $VIX above 30% is a very bearish signal.
Above 30% translating investors selling in masse their assets. #blood #on #the #street
Dollar Index $DXY
(Source: Wikipedia)
The U.S. Dollar Index (USDX, DXY, DX, or, informally, the "Dixie") is an index (or measure) of the value of the United States dollar relative to a basket of foreign currencies, often referred to as a basket of U.S. trade partners' currencies.
The Index goes up when the U.S. dollar gains "strength" (value) when compared to other currencies.
The index is designed, maintained, and published by ICE (Intercontinental Exchange, Inc.), with the name "U.S. Dollar Index" a registered trademark.
It is a weighted geometric mean of the dollar's value relative to following select currencies:
Euro (EUR), 57.6% weight
Japanese yen (JPY) 13.6% weight
Pound sterling (GBP), 11.9% weight
Canadian dollar (CAD), 9.1% weight
Swedish krona (SEK), 4.2% weight
Swiss franc (CHF) 3.6% weight
In "bear markets", the $DXY usually goes up.
People are selling their hard assets to get some $USD in return - pumping the $DXY higher
Corollary
I'm not sure which one happens first between a bearish $DXY or bearish $DXY... though both are usually correlated
If:
- $VIX goes above 30%, usually $DXY increases and assets versus the good old' $USD drop
- $VIX goes below 30%, usually $DXY decreases and assets versus the good old' $USD increases
This is a nice lever effect between both the $VIX, $DXY and the assets versus the $USD
That's being said, I don't only use those 2 information to enter in a trade.
It gives me though a strong confirmation whenever I'm long or short
Imagine I get a LONG signal but the combo $VIX + $DXY is bearish... this tells me to be cautious and to:
- enter at a pullback
- protect my position quickly at breakeven
- take my profit quick
For a mega bull market (some called it hyperinflation), you want your fiat to drop in value for the counter-asset to increase in value.
And before you ask.... yes I look at what $DXY is doing before taking a trade on $BTCUSD :)
In other words, $DXY going down is quite bullish for Bitcoin.
Settings and Alerts
The settings by default are the ones I use for my trading.
The background colors will be colored whenever the COMBO is bullish (green) or bearish (red)
Alerts are enabled using the brand new alert function published last week by @TradingView
That's it for today, I hope you'll like it :)
PS: In this chart above, I'm using the Supertrend indicator from @KivancOzbilgic
Dave
VOLatiliUMThis is a useful conjunction of volume and volatility together in one script, so I named it a blended name!
It can show the diagram of:
- Volume
- Volume Variation (Volume - Past Volume)
- Volume Density (Volume / (High - Low))
- Volatility in combination with the aforesaid ones
It also offers two concepts of bar colorizing, by using the size of the bars or by applying volatility from a higher time frame (HTF).
The option "Absolute Bar Values" is included for the ones who like to see all bars positive above the zero line!
Feel free to use the script and send me your opinions. Thanks.
Sigma Spike Filtered Binned OPR ( Adam H. Grimes )As originally described by Adam H. Grimes.
For analyzing the location of Open within the day's range (OPR). The OPR histogram displays the binned distribution of OPR values for the chart history. Fat tails at the extremes indicates that Open occurred more often close to the day's high or low.
The OPR results are filtered according to volatility using Grime's Sigma Spike. So that OPR values are only recorded when volatility exceeds a threshold (relative high range days).
This may (strong emphasis on may) indicate the opportunity for trades early in the day on days that begin with a high amount of relative volatility and trading with the direction that price is moving away from the open.
72s: Adaptive Hull Moving Average+One challenging issue for beginner traders is to differentiate market conditions, whether or not the current market is giving best possibility to stack profits, as earliest, in shortest time possible, or not.
On intraday, we've seen some big actions by big banks are somewhat can be defined --or circling around-- by HMA 200 . I've been thinking on to make the visuals more conform to price dynamics (separating major movement and minor noise) to get clearer signs of when it starts to happen. So it will be easier to see in a glance when the strength starts really taken place, with less cluttered chart.
This Adaptive HMA is using the new Pine Script's feature which now support Dynamic Length arguments for several Pine functions. ( read: www.tradingview.com). It hasn't support the built-in HMA() directly, but thankfully we can use its wma() formula to construct. (Note: I tweaked a bit HMA formula already popular here by using plain int() instead of round() on its wma's length, since I find it precisely match tradingview's built-in HMA).
You can choose which aspect the Adaptive HMA period will adapt to.
In this study I present it with two options: Volume and Volatility . It will "moves" faster or slower depends on which situation the aspect is currently into. ie: When volume is generally low or volatile readings is not there, price won't move very much, so the adapting MA will slow down by dynamically lengthen the lookback period, and vice versa, and so on.
Colour-markings in the Adaptive resembles which situation explained above. In addition, I also combine it with slope calculation of the MA to help measuring trend-strength or sideway/choppy conditions.
This way when we use it as dynamic support/resistance it will be more visually-reliable.
Secondly, and more important, it might help us traders with better probability info of whether or not a trade should even worth to be made . ie: If in the mean time market won't give much movement, any profit would also only as much. In most cases, we might better save our dime for later or place it somewhere else.
HOW TO USE:
Aside from better dynamic support/resistance and clearer breakout confirmation, MA is coloured as follow:
YELLOW:
Market is in consolidation or flat. Be it sideways, choppy, or in relatively small movements. If it shows up in a trending market, it may be an earlier sign that current trend might about to change its direction, or confirming a price broke-out to another side.
LIGHT GREEN or LIGHT RED:
Tells if a trend is forming but still relatively weak (or getting weaker), as it doesn't have volume or volatility to support.
DARKER GREEN ot DARKER RED:
This is where we can expect some good and strong price movement to ride. If it's strong enough, many times it marks a start of new long-lasting major trend.
SETTINGS:
Charger:
Choose which aspect your HMA should plug itself into, thus it will adapt to it.
Minimum Period, Maximum Period:
172 - 233 is just my own setting to outmatch the static HMA 200 for intraday. I find it --in my style of trading-- best in 15m tf in almost any pair, and 15m to 1H for some stocks. It also works nicely with conventional EMA 200, sometimes as if they somewhat work hand-in-hand in defining where the price should go. But you can, ofcourse, experiment with other ranges, broader or narrower. Especially if you already have an established strategy to follow to. As you might do with:
Consolidation area threshold:
This has to do with slope calculation. The bigger the number means your MA needs bigger degree to define the market is out of flat (yellow) area. This can be useful if needed to lighten up the filter or vice-versa.
Background colouring:
Just another colouring to help highlighting the difference in market conditions.
ALERTS:
There are two alerts:
Volume Break: when volume is breaking up above average, and
Volatility Meter: when the market more likely is about to have its moment of the big wiggling brush.
USAGE:
Very very nice BUY entry to catch big up-movement if:
1. Price is above MA. (It is best when price is also not to far distance from the MA, or you can also use distance oscillator to help out too)
2. HMA's color is in darker green. Means it's on the charging plug with your chosen aspect.
3. RSI is above 50. This is to help as additional confirmation.
Clear SELL entry signal is same as above, just the opposite.
-------------------------------------------------------
Note:
Lower timeframe of course means more noise to be filtered. Depends on the instrument, you might need to tweak the settings a bit till it conform nicely and shows lots of good trades in history. Here's another example on GBPUSD 5m timeframe:
For exit/take-profit point, you can use a second faster period static HMA. Or you can also use RSI. Here's an example:
Don't get me wrong, on few occasions I found it's still best using static MA to spot fakeouts, breakouts, etc, especially ones that's been already use widely. If that's the case or price actions seems suspicious, simply put the same value for minimum and maximum period settings, and there you have the original HMA with extra features.
For developer, check in the code if you need to customise your own charger.
-------------------------------------------------------
That's it. Hopefully this Adaptive HMA+ could at least be a good sidekick to your own strategy, as it does mine. ;)
Twin Range Filter Algo@Colinmck used two different ranges to generate signals. Read his release notes to find out what the original script does.
I added one condition which seems to increase performance on 15m BTCUSD as well as 1h BTCUSD and that is ATR with 32 periods being smaller than ATR with 64 periods. I used my script Volatility Optimiser to discover this tendency.
Both buying and selling conditions are same as in @Colinmck's script plus one condition of my own. You can disable my condition.
Target and stop-loss are manually set values in ticks.
Time stop-loss is manually set value in a number of candles. After this number of candles, a position always exits (or should 😇). You can disable it by inserting a very long period. I do not recommend it, because a value of indicator should not be measured in luck and if market starts moving in the direction after 40 periods, the predictive capability of an indicator is questionable.
I used 300/150/17 for 15m BTCUSD chart and 900/30/17 for 1h BTCUSD. I didn't try to optimize any other parameters for these periods.
Since this script relies mostly on volatility for its prediction, I wouldn't recommend using it on its own. Individual approach to the market is recommended. Also, it didn't work on EURUSD when using the same default values and different order management (tp, sl, time sl), so it is probably not as versatile.
Let me know what do you think of this strategy. If you have some ideas about how to make it more reliable, share it in the comments, I might put it to the test. Good luck 🍀
V/V weighted ma - JDAs a third new weighted moving average I present the Volume-Volatility Weighted Moving Average.
The Volume-Volatility Weighted Moving Average (VVwma) calculates the average price over a certain period,
weighted by both volume and volatilty, Big volume doesn't necessarily move price a lot but is very important,
big price moves don't always need big volume but also have a lot of importance!
In this indicator both big volume moves as well as big price moves are factored in to calculate the ma behaviour.
The ma has a tendancy to quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volume/volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the VVwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
Volatility weighted maThe next in my series of weighted moving averages is the Volatility Weighted Moving Average.
The Volatility Weighted Moving Average (Volwma) calculates the average price over a certain period,
contrary to the well known Volume weighted ma, it is weighted by volatilty,
meaning big price moves don't always need big volume but also have a lot of importance!
In this indicator these big price moves are factored in to calculate the ma behaviour.
As the ma is quite biased on price moves it can quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the Volwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
ATR Percentage of PriceThis indicator takes the standard ATR and expresses it as a percentage of the OHLC4 price. This has the advantage of normalising the ATR value across the history of an asset. For example, an ATR of value 20 when the price is 2000 actually has a very different meaning when the price rises to 4000. The ATR may be the same value but actually the volatility it represents has halved.
I also add an SMA to the value and a histogram which shows the difference between the two. Positive values mean that volatility is expanding while negative values mean volatility is contracting.
SUPERTREND ATR WITH TRAILING STOP LOSS## THIS SCRIPT IS ON GITHUB
## MORE BACKTEST
SuperTrend is a moving stop and reversal line based on the volatility (ATR).
The strategy will ride up your stop loss when price moviment 1%.
The strategy will close your operation when the market price crossed the stop loss.
The strategy will close operation when the line based on the volatility will crossed
The strategy has the following parameters:
+ **ATR PERIOD** - To select number of bars back to execute calculation
+ **ATR MULTPLIER** - To add a multplier factor on volatility
+ **INITIAL STOP LOSS** - Where can isert the value to first stop.
+ **POSITION TYPE** - Where can to select trade position.
+ **BACKTEST PERIOD** - To select range.
## DISCLAIMER
1. I am not licensed financial advisors or broker dealers. I do not tell you when or what to buy or sell. I developed this software which enables you execute manual or automated trades multiple trades using TradingView. The software allows you to set the criteria you want for entering and exiting trades.
2. Do not trade with money you cannot afford to lose.
3. I do not guarantee consistent profits or that anyone can make money with no effort. And I am not selling the holy grail.
4. Every system can have winning and losing streaks.
5. Money management plays a large role in the results of your trading. For example: lot size, account size, broker leverage, and broker margin call rules all have an effect on results. Also, your Take Profit and Stop Loss settings for individual pair trades and for overall account equity have a major impact on results. If you are new to trading and do not understand these items, then I recommend you seek education materials to further your knowledge.
**YOU NEED TO FIND AND USE THE TRADING SYSTEM THAT WORKS BEST FOR YOU AND YOUR TRADING TOLERANCE.**
**I HAVE PROVIDED NOTHING MORE THAN A TOOL WITH OPTIONS FOR YOU TO TRADE WITH THIS PROGRAM ON TRADINGVIEW.**
## NOTE
I accept suggestions to improve the script.
If you encounter any problems i will be happy to share with me.
+ Authors: @exit490
+ Revision: v1.0.0
+ Date: 5-Aug-2019
+ Pinescript version: 4
## LICENSE
Copyright 2019 Mauricio Pimenta / exit490
SuperTrend with Trailing Stop Loss script may be freely distributed under the (../LICENSE).
Dorsey InertiaThis indicator was originally developed by Donald Dorsey (Stocks & Commodities, V.13:9 (September, 1995): "Refining the Relative Volatility Index").
Inertia is based on Relative Volatility Index (RVI) smoothed using linear regression.
In physics, inertia is the tendency of an object to resist to acceleration. Dorsey chose this name because he believes that trend and inertia are related and that it takes more effort and energy to reverse the direction of a stock or market than to keep it in the same direction. He argues that the volatility is the simplest and most accurate measure of inertia.
When the indicator is below 50, it signals bearish market sentiment and when the indicator is above 50 it signals a bullish trend.
Good luck!
Moving CovarianceCo-variance is a representation of the average percent data points deviate from there mean. A standard calculation of Co-variance uses One standard Deviation. Using the empirical rule, we can assume that about 68.26% of Data points lie in this range.
The advantage to plotting co variance as a time series is that it will show you how volatility of a trailing period changes. Therefore trend lines and other methods of analysis such as Fibonacci retracements could be applied in order to generate volatility targets.
For the purpose of this indicator I have the mean using a vwma derived from vwap. This makes this measurement of co-variance more sensitive to changes in volume, likewise are more representative a change in volatility, thus giving this indicator a "leading aspect".
Candle Range % vs 8-Candle AvgCandle % Indicator – Measure Candle Strength by Range %
**Overview:**
The *Candle % Indicator* helps traders visually and analytically gauge the strength or significance of a price candle relative to its recent historical context. This is particularly useful for detecting breakout moves, volatility shifts, or overextended candles that may signal exhaustion.
**What It Does:**
* Calculates the **percentage range** of the current candle compared to the **average range of the past N candles**.
* Highlights candles that exceed a user-defined threshold (e.g., 150% of the average range).
* Useful for **filtering out extreme candles** that might represent anomalies or unsustainable moves.
* Can be combined with other strategies (like EMA crossovers, support/resistance breaks, etc.) to improve signal quality.
**Use Case Examples:**
***Filter out fakeouts** in breakout strategies by ignoring candles that are overly large and may revert.
***Volatility control**: Avoid entries when market conditions are erratic.
**Confluence**: Combine with EMA or RSI signals for refined entries.
**How to Read:**
* If a candle is larger than the average range by more than the set percentage (default 150%), it's flagged (e.g., no entry signal or optional visual marker).
* Ideal for intraday, swing, or algorithmic trading setups.
**Customizable Inputs:**
**Lookback Period**: Number of previous candles to calculate the average range.
**% Threshold**: Maximum percentage a candle can exceed the average before being filtered or marked.
Fear-Greed ThermometerFear-Greed Thermometer
This indicator measures market sentiment between fear and greed by combining three key factors: volatility, average volume, and percentage price change. Each factor is normalized and averaged to produce an index ranging from 0 to 100 that reflects the overall level of market fear or greed.
How to use:
Index above 50: Indicates greed dominance. The market tends to be more optimistic, signaling potential bullish conditions or overbought levels.
Index below 50: Indicates fear dominance. The market is more cautious or pessimistic, pointing to potential bearish conditions or oversold levels.
Neutral line (50): Acts as a reference for transitions between fear and greed phases.
Features:
Dynamic background: The chart background changes color according to sentiment — green for greed, red for fear — making it easy to visually gauge the index.
Customizable: Adjust the calculation periods for volatility, volume, and price change to fit your analysis style.
Tips:
Use alongside other technical tools to confirm entry and exit points.
Watch for divergences between the index and price to anticipate possible reversals.
Monitoring extreme levels can help identify market turning points.
This indicator is not a buy or sell recommendation but an additional tool to help understand the overall market sentiment.
5-Day APM for Forex PairsThis script calculates the 5-Day Average Pip Movement (APM) for major Forex pairs.
It displays the average daily range (in pips) over the past 5 trading days using true high-low price movement.
The script is optimized for clarity and minimalism — showing a single floating label on the main chart for pairs like GBPUSD, USDJPY, EURUSD, etc.
Automatically adjusts pip calculation for JPY pairs (×100) and other pairs (×10000).
✅ Great for identifying high-volatility vs low-volatility conditions
✅ Clean design with no clutter
✅ Only works on major FX pairs (whitelisted)
SOXL Trend Surge v3.0.2 – Profit-Only RunnerSOXL Trend Surge v3.0.2 – Profit-Only Runner
This is a trend-following strategy built for leveraged ETFs like SOXL, designed to ride high-momentum waves with minimal interference. Unlike most short-term scalping scripts, this model allows trades to develop over multiple days to even several months, capitalizing on the full power of extended directional moves — all without using a stop-loss.
🔍 How It Works
Entry Logic:
Price is above the 200 EMA (long-term trend confirmation)
Supertrend is bullish (momentum confirmation)
ATR is rising (volatility expansion)
Volume is above its 20-bar average (liquidity filter)
Price is outside a small buffer zone from the 200 EMA (to avoid whipsaws)
Trades are restricted to market hours only (9 AM to 2 PM EST)
Cooldown of 15 bars after each exit to prevent overtrading
Exit Strategy:
Takes partial profit at +2× ATR if held for at least 2 bars
Rides the remaining position with a trailing stop at 1.5× ATR
No hard stop-loss — giving space for volatile pullbacks
⚙️ Strategy Settings
Initial Capital: $500
Risk per Trade: 100% of equity (fully allocated per entry)
Commission: 0.1%
Slippage: 1 tick
Recalculate after order is filled
Fill orders on bar close
Timeframe Optimized For: 45-minute chart
These parameters simulate an aggressive, high-volatility trading model meant for forward-testing compounding potential under realistic trading costs.
✅ What Makes This Unique
No stop-loss = fewer premature exits
Partial profit-taking helps lock in early wins
Trailing logic gives room to ride large multi-week moves
Uses strict filters (volume, ATR, EMA bias) to enter only during high-probability windows
Ideal for leveraged ETF swing or position traders looking to hold longer than the typical intraday or 2–3 day strategies
⚠️ Important Note
This is a high-risk, high-reward strategy meant for educational and testing purposes. Without a stop-loss, trades can experience deep drawdowns that may take weeks or even months to recover. Always test thoroughly and adjust position sizing to suit your risk tolerance. Past results do not guarantee future returns. Backtest range: May 8, 2020 – May 23, 2025
DEMA Trend Oscillator Strategy📌 Overview
The DEMA Trend Oscillator Strategy is a dynamic trend-following approach based on the Normalized DEMA Oscillator SD.
It adapts in real-time to market volatility with the goal of improving entry accuracy and optimizing risk management.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
The main goal of this strategy is to respond quickly to sudden price movements and trend reversals,
by combining momentum-based signals with volatility filters.
It is designed to be user-friendly for traders of all experience levels.
✨ Key Features
Normalized DEMA Oscillator: A momentum indicator that normalizes DEMA values on a 0–100 scale, allowing intuitive identification of trend strength
Two-Bar Confirmation Filter: Requires two consecutive bullish or bearish candles to reduce noise and enhance entry reliability
ATR x2 Trailing Stop: In addition to fixed stop-loss levels, a trailing stop based on 2× ATR is used to maximize profits during strong trends
📊 Trading Rules
Long Entry:
Normalized DEMA > 55 (strong upward momentum)
Candle low is above the upper SD band
Two consecutive bullish candles appear
Short Entry:
Normalized DEMA < 45 (downward momentum)
Candle high is below the lower SD band
Two consecutive bearish candles appear
Exit Conditions:
Take-profit at a risk-reward ratio of 1.5
Stop-loss triggered if price breaks below (long) or above (short) the SD band
Trailing stop activated based on 2× ATR to secure and extend profits
💰 Risk Management Parameters
Symbol & Timeframe: Any (AUDUSD 5M example)
Account size (virtual): $3000
Commission: 0.4PIPS(0.0004)
Slippage: 2 pips
Risk per trade: 5%
Number of trades (backtest):534
All parameters can be adjusted based on broker specifications and individual trading profiles.
⚙️ Trading Parameters & Considerations
Indicator: Normalized DEMA Oscillator SD
Parameter settings:
DEMA Period (len_dema): 40
Base Length: 20
Long Threshold: 55
Short Threshold: 45
Risk-Reward Ratio: 1.5
ATR Multiplier for Trailing Stop: 2.0
🖼 Visual Support
The chart displays the following visual elements:
Upper and lower SD bands (±2 standard deviations)
Entry signals shown as directional arrows
🔧 Strategy Improvements & Uniqueness
This strategy is inspired by “Normalized DEMA Oscillator SD” by QuantEdgeB,
but introduces enhancements such as a two-bar confirmation filter and an ATR-based trailing stop.
Compared to conventional trend-following strategies, it offers superior noise filtering and profit optimization.
✅ Summary
The DEMA Trend Oscillator Strategy is a responsive and practical trend-following method
that combines momentum detection with adaptive risk management.
Its visual clarity and logical structure make it a powerful and repeatable tool
for traders seeking consistent performance in trending markets.
⚠️ Always apply appropriate risk management. This strategy is based on historical data and does not guarantee future results.
Liquidity Zones Alerts"Liquidity Zones Alerts" is a powerful smart-money-based indicator designed to detect key liquidity grabs and provide high-probability reversal signals using a combination of market structure, volume, volatility, and candlestick confirmation.
🧠 How It Works
The core logic of this indicator is built around the Smart Money Concepts:
🔺 Liquidity Sweeps: Detects when price takes out previous daily or weekly highs/lows, suggesting stop hunts or engineered liquidity moves by institutional players.
📈 Volume Filter: Ensures signals only appear during above-average volume, filtering out noise and low-interest moves.
⚡ Volatility Filter: Flags high-range candles relative to the average, catching flash crashes/spikes that often precede strong reversals.
🔄 Engulfing Candle Confirmation: Confirms entry with a bullish or bearish engulfing pattern after liquidity is taken — increasing signal reliability.
🧭 Premium/Discount Zone Logic: Trades are filtered to ensure longs are only taken in discount zones, and shorts in premium zones, using a 20-period market range for context.
📌 Features
✅ Daily & Weekly liquidity zones toggle
✅ Visual signals with clean 🔻(short) & 🔺(long) arrows
✅ Auto-detection of flash crashes
✅ Alerts on both long and short setups
✅ Optional previous high/low level plotting for context
✅ Background highlighting of valid signal candles
✅ Multi-timeframe friendly and compatible with any asset
🛠️ Use Case
Whether you're a scalper or a swing trader, this tool helps you spot institutional entry zones before the move happens. It works especially well when combined with your existing bias or supply/demand zones.
💬 “Price doesn't move randomly — it hunts liquidity. This indicator shows you where and when it happens.”
Volatility ContractionA very simple indicator which calculates the range of a definable period (the default is 5 bars) using a percentage range between the highest and lowest prices calculated from the candle bodies (i.e. open and close values). The plotted line makes it easy to see when price movement is tightening (volatility contraction). The dashed threshold line (default 10%) provides a reference point for setting alerts, helping to identify periods of low volatility (e.g. for stocks in your watchlist) that could signal upcoming market action.
Nef33 Forex & Crypto Trading Signals PRO
1. Understanding the Indicator's Context
The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must:
Use dynamic or static support/resistance levels already present in the script.
Incorporate volatility (such as ATR) to adjust the levels based on market conditions.
Define a risk/reward ratio (e.g., 1:2).
2. Options for Determining SL and TP
Below, I provide several ideas based on the tools available in the script:
Stop Loss (SL)
The SL should protect you from adverse movements. You can base it on:
ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL.
Buy: SL = Entry Price - (atr_smooth * atr_mult).
Sell: SL = Entry Price + (atr_smooth * atr_mult).
Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones.
Buy: SL below the nearest ob_lows or fvg_lows.
Sell: SL above the nearest ob_highs or fvg_highs.
VWAP: Use the daily VWAP (vwap_day) as a critical level.
Buy: SL below vwap_day.
Sell: SL above vwap_day.
Take Profit (TP)
The TP should maximize profits. You can base it on:
Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3).
Buy: TP = Entry Price + (SL Distance * 2).
Sell: TP = Entry Price - (SL Distance * 2).
Key Zones: Target the next resistance (for buys) or support (for sells).
Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high.
Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low.
Ichimoku: Use the cloud levels (Senkou Span A/B) as targets.
Buy: TP at senkou_span_a or senkou_span_b (whichever is higher).
Sell: TP at senkou_span_a or senkou_span_b (whichever is lower).
3. Practical Implementation
Since the script does not automatically draw SL/TP, you can:
Calculate them manually: Observe the chart and use the levels mentioned.
Modify the code: Add SL/TP as labels (label.new) at the moment of the signal.
Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio:
Modified Code (Signals Section)
Find the lines where the signals (trade_buy and trade_sell) are generated and add the following:
pinescript
// Calculate SL and TP based on ATR
atr_sl_mult = 1.5 // Multiplier for SL
atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio)
sl_distance = atr_smooth * atr_sl_mult
tp_distance = atr_smooth * atr_tp_mult
if trade_buy
entry_price = close
sl_price = entry_price - sl_distance
tp_price = entry_price + tp_distance
label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny)
if trade_sell
entry_price = close
sl_price = entry_price + sl_distance
tp_price = entry_price - tp_distance
label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny)
Code Explanation
SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell.
TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio.
Visualization: Labels are added to the chart to display SL (red) and TP (blue).
4. Practical Strategy Without Modifying the Code
If you don’t want to modify the script, follow these steps manually:
Entry: Take the trade_buy or trade_sell signal.
SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP).
TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3.
Example:
Buy at 100, ATR = 2.
SL = 100 - (2 * 1.5) = 97.
TP = 100 + (2 * 3) = 106.
5. Recommendations
Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto).
Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference.
Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
MLB Momentum IndicatorMLB Momentum Indicator is a no‐lookahead technical indicator designed to signal intraday trend shifts and potential reversal points. It combines several well‐known technical components—Moving Averages, MACD, RSI, and optional ADX & Volume filters—to deliver high‐probability buy/sell signals on your chart.
Below is an overview of how it works and what each part does:
1. Moving Average Trend Filter
The script uses two moving averages (fast and slow) to determine the primary trend:
isUpTrend if Fast MA > Slow MA
isDownTrend if Fast MA < Slow MA
You can select the MA method—SMA, EMA, or WMA—and customize lengths.
Why it matters: The indicator only gives bullish signals if the trend is up, and bearish signals if the trend is down, helping avoid trades that go against the bigger flow.
2. MACD Confirmation (Momentum)
Uses MACD (with user‐defined Fast, Slow, and Signal lengths) to check momentum:
macdBuySignal if the MACD line crosses above its signal line (bullish)
macdSellSignal if the MACD line crosses below its signal line (bearish)
Why it matters: MACD crossovers confirm an emerging momentum shift, aligning signals with actual price acceleration rather than random fluctuation.
3. RSI Overbought/Oversold Filter
RSI (Relative Strength Index) is calculated with a chosen length, plus Overbought & Oversold thresholds:
For long signals: the RSI must be below the Overbought threshold (e.g. 70).
For short signals: the RSI must be above the Oversold threshold (e.g. 30).
Why it matters: Prevents buying when price is already overbought or shorting when price is too oversold, filtering out possible poor‐risk trades.
4. Optional ADX Filter (Trend Strength)
If enabled, ADX must exceed a chosen threshold (e.g., 20) for a signal to be valid:
This ensures you’re only taking trades in markets that have sufficient directional momentum.
Why it matters: It weeds out choppy, sideways conditions where signals are unreliable.
5. Optional Volume Filter (High‐Participation Moves)
If enabled, the indicator checks whether current volume is above a certain multiple of its moving average (e.g., 1.5× average volume).
Why it matters: High volume often indicates stronger institutional interest, validating potential breakouts or reversals.
6. ATR & Chandelier (Visual Reference)
For reference only, the script can display ATR‐based stop levels or a Chandelier Exit line:
ATR (Average True Range) helps gauge volatility and can inform stop‐loss distances.
Chandelier Exit is a trailing stop technique that adjusts automatically as price moves.
Why it matters: Though this version of the script doesn’t execute trades, these lines help you see how far to place stops or how to ride a trend.
7. Final Bullish / Bearish Signal
When all conditions (trend, MACD, RSI, optional ADX, optional Volume) line up for a long, a green “Long” arrow appears.
When all conditions line up for a short, a red “Short” arrow appears.
Why it matters: You get a clear, on‐chart signal for each potential entry, rather than needing to check multiple indicators manually.
8. Session & Date Filtering
The script allows choosing a start/end date and an optional session window (e.g. 09:30–16:00).
Why it matters: Helps limit signals to a specific historical backtest range or trading hours, which can be crucial for day traders (e.g., stock market hours only).
Putting It All Together
Primary Trend → ensures you trade in line with the bigger direction.
MACD & RSI → confirm momentum and avoid overbought/oversold extremes.
ADX & Volume → optional filters for strong trend strength & genuine interest.
Arrows → each potential buy (Long) or sell (Short) signal is clearly shown on your chart.
Use Cases
5‐Minute Scalping: Shorter RSI/MACD lengths to catch small, frequent intraday moves.
Swing Trading: Larger MAs, bigger RSI thresholds, and using ADX to filter only major trends.
Cautious Approach: Enable volume & ADX filters to reduce false signals in choppy markets.
Benefits & Limitations
Benefits:
Consolidates multiple indicators into one overlay.
Clear buy/sell signals with optional dynamic volatility references.
Flexible user inputs adapt to different trading styles/timeframes.
Limitations:
Like all technical indicators, it can produce false signals in sideways or news‐driven markets.
Success depends heavily on user settings and the particular market’s behavior.
Summary
The MLB Momentum Indicator combines a trend filter (MAs), momentum check (MACD), overbought/oversold gating (RSI), and optional ADX/Volume filters to create clear buy/sell arrows on your chart. This approach encourages trading in sync with both trend and momentum, and helps avoid suboptimal entries when volume or trend strength is lacking. It can be tailored to scalp micro‐moves on lower timeframes or used for higher‐timeframe swing trading by adjusting the input settings.
ATR Stop LossThe ATR Stop Loss indicator is designed to assist traders in managing risk by calculating dynamic stop loss levels based on the Average True Range (ATR). By considering market volatility, this tool helps identify optimal stop loss placements for both long and short positions, making it easier for traders to protect their investments and avoid premature exits.
Features:
Customizable ATR period and multiplier to adapt to different trading strategies and market conditions.
Displays stop loss levels directly on the chart for quick decision-making.
Works across various timeframes and assets, offering flexible application in diverse trading scenarios.
How It Works: The indicator calculates the ATR over a specified period and multiplies it by a user-defined value to plot stop loss levels above or below the current closing price. For long positions, the stop loss level is set below the price, while for short positions, it is set above. These levels help traders set stops that account for current market volatility, reducing the likelihood of getting stopped out by minor fluctuations.
Usage: Add the ATR Stop Loss indicator to your chart, customize the ATR period and multiplier as needed, and use the visualized stop loss levels to manage your trades with greater precision and confidence.
Disclaimer: The ATR Stop Loss indicator is provided for educational and informational purposes only and should not be construed as financial or investment advice. Trading involves substantial risk and is not suitable for every investor. Users are solely responsible for any trading decisions they make based on the use of this indicator. Past performance is not indicative of future results. Always conduct your own analysis and consult with a qualified financial professional before making any trading decisions. EdgeLab and its creator bear no liability for any financial losses or other damages resulting from the use of this indicator.
Half Trend Regression [AlgoAlpha]Introducing the Half Trend Regression indicator by AlgoAlpha, a cutting-edge tool designed to provide traders with precise trend detection and reversal signals. This indicator uniquely combines linear regression analysis with ATR-based channel offsets to deliver a dynamic view of market trends. Ideal for traders looking to integrate statistical methods into their analysis to improve trade timing and decision-making.
Key Features
🎨 Customizable Appearance : Adjust colors for bullish (green) and bearish (red) trends to match your charting preferences.
🔧 Flexible Parameters : Configure amplitude, channel deviation, and linear regression length to tailor the indicator to different time frames and trading styles.
📈 Dynamic Trend Line : Utilizes linear regression of high, low, and close prices to calculate a trend line that adapts to market movements.
🚀 Trend Direction Signals : Provides clear visual signals for potential trend reversals with plotted arrows on the chart.
📊 Adaptive Channels : Incorporates ATR-based channel offsets to account for market volatility and highlight potential support and resistance zones.
🔔 Alerts : Set up alerts for bullish or bearish trend changes to stay informed of market shifts in real-time.
How to Use
🛠 Add the Indicator : Add the Half Trend Regression indicator to your chart from the TradingView library. Access the settings to customize parameters such as amplitude, channel deviation, and linear regression length to suit your trading strategy.
📊 Analyze the Trend : Observe the plotted trend line and the filled areas under it. A green fill indicates a bullish trend, while a red fill indicates a bearish trend.
🔔 Set Alerts : Use the built-in alert conditions to receive notifications when a trend reversal is detected, allowing you to react promptly to market changes.
How It Works
The Half Trend Regression indicator calculates linear regression lines for the high, low, and close prices over a specified period to determine the general direction of the market. It then computes moving averages and identifies the highest and lowest points within these regression lines to establish a dynamic trend line. The trend direction is determined by comparing the moving averages and previous price levels, updating as new data becomes available. To account for market volatility, the indicator calculates channels above and below the trend line, offset by a multiple of half the Average True Range (ATR). These channels help visualize potential support and resistance zones. The area under the trend line is filled with color corresponding to the current trend direction—green for bullish and red for bearish. When the trend direction changes, the indicator plots arrows on the chart to signal a potential reversal, and alerts can be set up to notify you. By integrating linear regression and ATR-based channels, the indicator provides a comprehensive view of market trends and potential reversal points, aiding traders in making informed decisions.
Enhance your trading strategy with the Half Trend Regression indicator by AlgoAlpha and gain a statistical edge in the markets! 🌟📊
