Original Bravo SwingThe Bravo Swing is based on the methods taught by YouTube celebrity J Bravo.
It uses the 9 day moving average as a base for selecting optimal entry and exit points.
Buy indicator:
A full candle closing above the 9 day moving average generally indicates a bullish signal for an entry.
If conditions are right, this can be seen as a great opportunity to buy.
Sell indicator:
If the candles continue to close above the 9 day moving average, the trend appears to remain bullish.
However, an exit is to be considered once a candle closes below the 9 day moving average, as this indicates a bearish signal may be approaching.
If you you're feeling confident about the uptrend continuing and choose to ignore the exit signal, a candle close below the 20 day exponential moving average should be used as a definite exit point.
Options:
Color code option to display the 180 day moving average in gray during downtrends and white during an uptrend.
The 50 day moving average can be turned on to help better visualize conflicting trends.
Search in scripts for "entry"
Histogram - Price Action - Dy CalculatorThis script aims to help users of Price Action robot, for Smarttbot (brazilian site that automates Brazilian market (B3)).
You can use on any symbol.
The script will follow price action principles. It will calculate the absolute value of last candle and compare with actual candle. Colors are:
- Red - If the actual candle absolute value is higher than previous one, and the price is lower than last candle. It would be a short entry.
- Blue - If the actual candle absolute value is higher than previous one, and the price is higher than last candle. It would be a long entry.
- Black - The actual candle absolute value is lower than previous one, so there is no entry.
If there is a candle that is higher than previous one, and both high and low values are outside boundaries of previous one, it will calculate which boundary is bigger and will apply the collor accordingly.
Average True Range BandsAverage True Range Bands
The 30-day Average True Range is useful in Futures and Forex trading for placing stop orders for entry.
In the example above, a trader may want to initiate a Short position on a break below the support trendline.
A good place to enter this trade would be a price break below the support trendline minus 50 to 100% of the current ATR value.
ATR Bands provides a useful visual overlay of the current ATR value above and below the current price to speed up order entry decisions.
Study for Squeeze Momentum Indicator [LazyBear]This study is based on LazyBear Squeeze Momentum Indicator and my strategy developed using it.
I added some custom feature and filters.
Main improvements are:
1- study is updated to version 4 of pine script;
2- I added alerts for entry rules and exit rules.
3- Alert syntax can be customized for webhooks: I added one example only for long entry.
You can customize a lot of features to get a profitable strategy.
Here is a link to original study.
Please use comment section for any feedback.
Volatility Traders Minds Strategy (VTM Strategy)Volatility Traders Minds Strategy (VTM Strategy)
I found this startegy on internet, with a video explaingin how it works.
Conditions for entry:
1 - Candles must to be above or bellow the 48 MA (Yellow line)
2 - Candles must to break the middle of bollinger bands
3 - Macd must to be above or bellow zero level;
4 - ADX must to be above 25 level
Credits to who developed this startegy (google it).
Thanks to all pinescripters mentined in the code for their snippets.
It could be improved with stop loss based on ATR etc.
I have also a study with alerts.
Please use comment section for any feedback or contact me if you need support.
DW-RSI EMA with EMA of RSIThis is an RSI Oscillator with an EMA of the RSI for a signal line. The RSI line is Green when above the signal line and Red when below the signal line.
This does not use the traditional 30% / 70% over sold / over bought analysis. Therefore the levels are not shown.
The analysis is this:
When the RSI is above the signal line then price has a bullish bias.
When the RSI is below the signal line then price has a bearish bias.
I wrote use this for Forex Spot Currencies where I feel overbought and oversold may be less valid than it may be in other markets such as stocks.
As with all indicators, do not use as your sole reason to enter the market, but use with other indicators or price action signals to get a confluence of signals to confirm your entry.
I use it with an 8, 21 and 50 EMA to confirm entry and exit. I give it more weight for exits than I do for entries.
Easy to Use Stochastic + RSI StrategyA simple strategy that yields some great results.
CODE VARIABLES
LINE 2 - Here you can change your currency and amount you want to invest on each entry.
LINE 10/11/12 - Here we establish what date we want to start backtesting from. Simply change the defval on each line to change the date (In the code below we start on Jan 1st, 2014).
LINES 19 through 27 - Here we set our Stochastic and RSI sensitivity (Currently %K = 14, %D = 3, RSI = 14). Change these to your preference.
LINE 39/41 - Here we execute our orders (Currently set when %K crosses %D under the 20 value and RSI is less than 50 to BUY, %K crosses %D above the 80 value and RSI is greater than 60 to SELL). Change these to your preference.
NOTE: As a beginner you may not want to short stock, therefore LINE 6 was added to only allow long positions.
I didn't overlay the RSI value over the Stochastics because it was too cluttered. Just add the RSI indictor seperately to your layout.
As always, couple this with trend following and exit/entry rules to make the profitability even higher!
Cheers!
Easy to Use 50/100/200 Day Moving Average StrategyWhenever you see someone publish a chart or idea, what's the one thing you almost always see? Moving Averages!
Many investors focus on these indictors solely as entry and exit points, so here's an easy to manipulate strategy to backtest and see if this is feasible on your security.
CODE VARIABLES
LINE 2 - Here you can change your currency and amount you want to invest on each entry.
LINE 8/9/10 - Here we establish the 50 (Fast), 100 (Medium) and 200 (Slow) day variables. These can be adjusted to your choosing.
LINE 13/14/15 - Here we establish what date we want to start backtesting from. Simple change the defval on each line to change the date (In the code below we start on Jan 1st, 2010).
LINE 20/23 - Here, within the crossover and crossunder functions, we set which MA's must cross to enter and exit a trade. Below we have the 50 day moving above and under the 200 day. Simple change the variables to FastMA, MediumMA and SlowMA to your choosing.
NOTE: As a beginner you may not want to short stock, therefore LINE 5 was added to only allow long positions.
Hope this helps, from one beginner to another.
Cheers!
PPO Divergence and Aggregate Signal ComboThis is a further development of the last two posts on aggregated signal generation. It shows how to implement the idea in conjunction with another indicator. In this case general rule for long and short entry: the aggregated curve (gray) must cross the mid-line. Colored columns serve as an early warning. Settings were tested with EURUSD in 5m, 30m and 1H TFs.
On Balance Volume +This is the standard On Balance Volume indicator, with the addition of four things:
10-SMA
20-SMA
100-SMA
Bollinger Bands
I have found intriguing and surprising results with this indicator.
I often see OBV bouncing off of the Moving Average lines, much like support and resistance points.
More interesting is the fact that it "obeys" the bollinger bands. Often times, if OBV sneaks outside of the Bollinger Band, it will almost always correct and get back in the next day.
I would recommend that you find your own method, and PLEASE post in the comments as to how you use this, but I'll tell you
How I use this indicator:
I usually use this on the daily view. I tend to wait until OBV has moved above the red 20-Day SMA before considering an entry. Below that doesn't show enough positive volume for me to identify enough interest in the security. Once it breaks the red SMA, I'll look at other indicators for confirmation. If price is above the Bollinger Band up above, and my OBV is above Bollinger Band, I will not buy. Also, if MACD is dropping, or if the Stochastic RSI is pegged out in overbought land, I won't buy that either.
If, however, I'm seeing good stuff from Stochastic RSI, RSI, MACD, and price BB, then I'll take a long entry at that OBV + 20SMA crossover.
If I'm in a long position and I see a few signals like the OBV is above the BB, and price is above BB, and StochRSI or RSI are in/near overbought land, I'll often sell that day, expecting a pullback on price.
I really like this one, it's been quite helpful in my trading. This is my first venture into using Volume for trading, and it's been good so far.
Leave me a note in the comments to tell me how it goes and how you use this thing!
NG [Wave Period Oscillator]The WPO is a short-term oscillator that measures the buying and selling period of price cycles over a certain time interval.
The leading oscillator indicates a rise in buying period when it moves above the zero line and a rise in selling period when it moves below the zero line.
Trading Tactics
Center line Crossover: a bullish center line crossover occurs when the WPO line moves above the zero level to turn positive.
A bearish center line crossover occurs when the WPO line moves below the zero level to turn negative.
When bulls are in control, the price rally begins and the average of the bull’s period T increases to drive the WPO line above the center line.
A buy signal is subsequently triggered.
When the bulls start to loose power, prices move sideways and the average period decreases. In this case, the WPO line may fl utter near the center line and cause false signals, whipsaws.
To avoid the whipsaws occurring on the center line, the following trading tactics are proposed:
Uptrend Tactic:
During an ideal uptrend, the WPO does not reach the lower boundary -2 and usually rebounds from a higher level than -2.
This means that the bulls have taken control earlier. Hence, a zero line crossover generates a buy signal. The WPO crosses the upper boundary at +2 then pulls back again below +2 to generate a sell signal.
Sideways Tactic:
During sideways, the WPO fluctuates between the lower and upper boundaries -2 and 2. This tactic is also used in an uptrend where corrections are strong enough to drive the WPO line below the lower boundary.
Downtrend Tactic:
During downtrends, the WPO fails to reach the upper boundary and oscillates between the 0 and -2 levels. The bears enter early indicating an obvious weakness in the market. Therefore, crossing the zero level generates a sell signal.
Exit at Weakness:
During uptrend reversals and downtrends, the WPO oscillates between the center line and the lower boundary -2. The bears are controlling the market and move in wide cycle periods while the bull’s strength is almost absent.
An exit signal is triggered once the WPO crosses -2. When prices decline, the WPO may cross its extreme lower boundary at -2.7. Therefore, a swift exit signal is triggered once the WPO crosses -2.
Re-Entry:
During uptrend, the WPO crosses down the upper boundary level at +2 to generate a sell signal. Yet, it does not reach the zero line and the oscillator moves back toward the upper boundary.
This case is considered as strength while a re-entry signal occurs at the +2 level crossover. The sell signal is generated when the WPO line crosses down the upper boundary.
Understanding contract sizes in a strategyThis simple strat fires up on green bars, down on red bars. cannot get any simpler. So, it's a good example to check how returns are calculated.
First, the internal firing mechanism for the strategy.entry function is something hardcore. As result, the entry points can be confusing, and seem to appear in a wrong bar (as the 2nd and 3rd signals are good examples), but i'll put that aside to keep it simple. And, because i don't yet get it myself ;)
The example is simple, so that numbers can be followed easy. Chart in BTC/USD, so USD is the "base" currency used by strat to calculate. A contract/unit is the value of 1 unit in base currency. 1 Apple share is 600$, 1 bitcoin is 600$, 1 oz gold is 1330 bucks. So, here in each bar, the value of 1 contract is the value of the BTC in USD. simple as that.
The strat properties, can be passed as input fields (line 2) or accessed/changed in the right click->properties pop-up. To make it easier, initial capital is 1000 bucks, and "order size" is 1 contract. This means that the strat will open a position of 1 BTC when it fires. Value "Initial capital" makes no difference at all, at least with these choices. It's just for show. Try to put 1$ and 1 contract, the strat will still trade anyway. It manages to trade 1 contract(or BTC) values at ~600$, with a single dollar. nice ;)
Check the chart. see the little blue "BarUp +1" ? that's it, strat goes long 1 BTC. there's a little blue triangle on the bar, points to the value of entry.
Then later, on second move, the "BarDn -2", the strat goes short 2BTC. 1BTC to close the long +1 more to open a short.
The profit here is the difference between the value of the long opening and the long closing. The extra BTC (shorted) is part of the next position. Since this dumb strat just reverses the direction, there are always +2, -2 , +2.... 1 to close previous position, 1 to open another. At the strategy tester tab, the option "list of trades" shows in details each of the moves
Checking each move and comparing what we see with the chart itself helps to achieve ilumination :)
Bonus feature: as soon as you get it, try to increase the option "pyramiding" and see how the strat adds more contracts, and how it reverses the positions. sometimes it even makes sense!!!! :)
EurUsd Momentum Heiken AshiEURUSD Monthly and Weekly indicator that measures the slope between open and close.
***Works best on Heiken Ashi-as it smooths out the lines.
-In essence, it is the same thing as Heiken Ashi but gives a better visual for entry beside "the candle is red so I should sell"
-Method For Entry:
**Look for a Higher Low to --->buy at indicator >=0
**Look for Lower High to ----->sell at indicator <=0
**Look at Heiken Ashi candle with support and resistance zones
**Draw trend-lines such as channels, pennants, etc..
Ichimoku-Hausky_v2.1Made a little update to my trading system. This system is made so that you can easily follow the trend and know when to get out. You still have to know basic market structure to find a good entry.
NB!! I see that i placed the entry wrong on the example, you have too wait for the EMA to go below the MA :)
I have posted the right one at the bottom.
Take profit can be set at last low or you can use trail stop on the EMA, MA, Kijun-sen or Tenkan-sen.
Example rules:
Buy:
IF Market is in a trend or are possibly close to break out of range
THEN see if price has closed above cloud
IF price has closed above cloud
THEN see if EMA has crossed above MA
IF EMA has crossed above MA
THEN buy or wait for pullback
Sell:
IF Market is in a trend or are possibly close to break out of range
THEN see if price has closed below cloud
IF price has closed below cloud
THEN see if EMA has crossed below MA
IF EMA has crossed below MA
THEN buy or wait for pullback
Vervoort Heiken-Ashi LongTerm Candlestick Oscillator [LazyBear]HACOLT (Heikin Ashi Candles Oscillator Long Term) is a technical indicator designed by Sylvain Vervoort. It is based on Mr.Vervoort's other indicator, HACO (Heikin-Ashi Candles Oscillator - posted here: ).
Optimized for long-term trading, HACOLT shows three levels: -1, 0 and 1. These levels suggest "an open short position", "no open position", and "an open long position", respectively. Passing from a certain level to another is viewed as a trading signal:
- Rising from -1 or 0 to 1 suggests a Long Entry and Short exit;
- Falling from 1 to 0 or -1 suggests a Long Exit;
- Falling from 1 or 0 to -1 indicates a Short Entry.
Fits in nicely with any trading setup as a confirmation indicator
More info:
- tlc.thinkorswim.com
- www.motivewave.com
List of my other indicators:
- GDoc: docs.google.com
- Chart:
NSF/NBF Boxes📘 NSF / NBF Extended Boxes (Wyckoff–VSA Smart Zones)
This indicator automatically detects No Supply (NSF) and No Buying / No Demand (NBF) bars using Wyckoff–VSA principles and marks them with extended boxes and a dashed 50% midline.
🟢 NSF (No Supply) — Bullish accumulation signal
🔴 NBF (No Demand) — Bearish distribution signal
Each box extends forward in time to highlight key supply/demand zones, while the dashed midline represents the equilibrium level within that bar.
When price later retests this 50% level, the script triggers a visual marker and an alert condition, helping you spot potential reversals or continuation confirmations.
🧠 Core Features
Automatic detection of No Supply / No Demand bars
Extended boxes with adjustable length and auto-extension
Midline (50%) retest alerts for precise trade timing
Optional EMA trend filter, volume check, and close bias
Works even on symbols without volume data (crypto, indices, FX)
“Test Mode” included for easy visualization and debugging
⚙️ Usage Tips
Use on 5m–4h charts for crypto or stocks to spot professional activity.
Combine with Wyckoff, VSA, or Smart Money Concepts to confirm accumulation/distribution phases.
Look for NSF retests near support in a downtrend → possible long entry.
Look for NBF retests near resistance in an uptrend → possible short entry.
🧩 Parameters
Ignore Volume: disables volume filters for markets with missing data
Use EMA Trend Filter: only confirm signals in direction of trend
Auto-extend Boxes: keeps zones projecting into future bars
Retest Alerts: triggers when price touches midline after formation
💡 Author’s Note
This tool visualizes the often-hidden behavior of smart money absorption and weak demand exhaustion.
Use it as part of a complete trading plan — not as a standalone buy/sell signal
Adaptive Convergence Divergence### Adaptive Convergence Divergence (ACD)
By Gurjit Singh
The Adaptive Convergence Divergence (ACD) reimagines the classic MACD by replacing fixed moving averages with adaptive moving averages. Instead of a static smoothing factor, it dynamically adjusts sensitivity based on price momentum, relative strength, volatility, fractal roughness, or volume pressure. This makes the oscillator more responsive in trending markets while filtering noise in choppy ranges.
#### 📌 Key Features
1. Dual Adaptive Structure: The oscillator uses two adaptive moving averages to form its convergence-divergence line, with EMA/RMA as signal line:
* Primary Adaptive (MA): Fast line, reacts quickly to changes.
* Following Adaptive (FAMA): Slow line, with half-alpha smoothing for confirmation.
2. Adaptive MA Types
* ACMO: Adaptive CMO (momentum)
* ARSI: Adaptive RSI (relative strength)
* FRMA: Fractal Roughness (volatility + fractal dimension)
* VOLA: Volume adaptive (volume pressure)
3. PPO Option: Switch between classic MACD or Percentage Price Oscillator (PPO) style calculation.
4. Signal Smoothing: Choose between EMA or Wilder’s RMA.
5. Visuals: Colored oscillator, signal line, histogram with adaptive transparency.
6. Alerts: Bullish/Bearish crossovers built-in.
#### 🔑 How to Use
1. Add to chart: Works on any timeframe and asset.
2. Choose MA Type: Experiment with ACMO, ARSI, FRMA, or VOLA depending on market regime.
3. Crossovers:
* Bullish (🐂): Oscillator crosses above signal → potential long entry.
* Bearish (🐻): Oscillator crosses below signal → potential short entry.
4. Histogram: expansion = strengthening trend; contraction = weakening trend.
5. Divergences:
* Bullish (hidden strength): Price pushes lower, but ACD turns higher = potential upward reversal.
* Bearish (hidden weakness): Price pushes higher, but ACD turns lower = potential downward reversal.
6. Customize: Adjust lengths, smoothing type, and PPO/MACD mode to match your style.
7. Set Alerts:
* Enable Bullish or Bearish crossover alerts to catch momentum shifts in real time.
#### 💡 Tips
* PPO mode normalizes values across assets, useful for cross-asset analysis.
* Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions.
* Adaptive smoothing helps reduce false divergence signals by filtering noise in choppy ranges.
Strat Failed 2-Up/2-Down Scanner v2**Strat Failed 2-Up/2-Down Scanner**
The Strat Failed 2-Up/2-Down Scanner is designed for traders using The Strat methodology, developed by Rob Smith, to identify key reversal patterns in any market and timeframe. This indicator detects two specific candlestick patterns: Failed 2-Up (bearish) and Failed 2-Down (bullish), which signal potential reversals when a directional move fails to follow through.
**What It Does**
- **Failed 2-Up**: Identifies a bearish candle where the low and high are higher than the previous candle’s low and high, but the close is below the open, indicating a failed attempt to continue an uptrend. These are marked with a red candlestick, a red downward triangle above the bar, and a table entry.
- **Failed 2-Down**: Identifies a bullish candle where the high and low are lower than the previous candle’s high and low, but the close is above the open, signaling a failed downtrend. These are marked with a green candlestick, a green upward triangle below the bar, and a table entry.
- A table in the top-right corner displays the signal type ("Failed 2-Up" or "Failed 2-Down") and the ticker symbol for quick reference.
- Alerts are provided for both patterns, making the indicator compatible with TradingView’s screener for automated scanning.
**How It Works**
The indicator analyzes each candlestick’s high, low, and close relative to the previous candle:
- Failed 2-Up: `low > low `, `high > high `, `close < open`.
- Failed 2-Down: `high < high `, `low < low `, `close > open`.
When these conditions are met, the indicator applies visual markers (colored bars and triangles) and updates the signal table. Alert conditions trigger notifications for integration with TradingView’s alert system.
**How to Use**
1. Apply the indicator to any chart (stocks, forex, crypto, etc.) on any timeframe (e.g., 1-minute, hourly, daily).
2. Monitor the chart for red (Failed 2-Up) or green (Failed 2-Down) candlesticks with corresponding triangles.
3. Check the top-right table for the latest signal and ticker.
4. Set alerts by selecting “Failed 2-Up Detected” or “Failed 2-Down Detected” in TradingView’s alert menu to receive notifications (e.g., via email or app).
5. Use the signals to identify potential reversal setups in conjunction with other Strat-based analysis, such as swing levels or time-based strategies.
**Originality**
Unlike other Strat indicators that may focus on swing levels or complex candlestick combinations, this scanner specifically targets Failed 2-Up and Failed 2-Down patterns with clear, minimalist visualizations (bars, triangles, table) and robust alert functionality. Its simplicity makes it accessible for both novice and experienced traders using The Strat methodology.
**Ideal For**
Day traders, swing traders, and scalpers looking to capitalize on reversal signals in trending or ranging markets. The indicator is versatile for any asset class and timeframe, enhancing trade decision-making with The Strat’s pattern-based approach.
LANZ Strategy 2.0🔷 LANZ Strategy 2.0 — London Breakout Confirmation with Structural Swing Protection
LANZ Strategy 2.0 is a structured trading system that leverages the last confirmed market direction before the London session to define directional bias and manage trades based on key structural swing levels. It is tailored for intraday traders looking to capitalize on early London volatility with built-in risk management and visual clarity.
🧠 Core Components:
Directional Confirmation (Pre-London Bias): Validates the last breakout or structural move from the 15-minute timeframe before 02:15 a.m. New York time (start of the London session), establishing the expected market direction.
Time-Based Execution: Executes potential entries strictly at 02:15 a.m. NY time, using market structure to support Long or Short bias.
Dynamic Swing-Based SL System: Allows user to select between three SL protection models: First Swing (most recent structural point) Second Swing (prior level) Total Coverage (includes both swings + extra buffer) This supports flexibility based on trader profile or market conditions.
Visual Risk Mapping: All SL and TP levels are clearly plotted.
End-of-Session Management: Positions are automatically evaluated for closure at 11:45 a.m. NY time. SL, TP, or manual close outcomes are labeled accordingly.
📊 Visual Features:
Labels for 1st and 2nd swing levels upon entry.
Dynamic lines projecting SL/TP levels toward the end of the session.
Session background coloring for Pre-London, Execution, and NY sessions.
Real-time percentage outcome labels (+2.00%, -1.00%, or net % at session end).
Automatic deletion of previous visuals on new entries for clean charting.
⚙️ How It Works:
Detects last structural breakout on the 15m timeframe before 02:15 a.m. NY.
On the 02:15 a.m. candle, executes a Long or Short logic entry.
Plots corresponding SL and TP based on selected swing model.
Monitors price action: If TP or SL is hit, labels it accordingly. If no exit is hit, trade closes manually at 11:45 a.m. NY with net result shown.
Optional logic to reverse entries if market structure breaks before execution.
🔔 Alerts:
Daily execution alert at 02:15 a.m. NY (prompting manual review or action).
Optional alert logic can be extended for SL/TP hits or structure breaks.
📝 Notes:
Designed for semi-automated or discretionary intraday trading.
Best used on Forex pairs or indices with strong London session behavior.
Adjustable parameters include session hours, swing SL type, and buffer settings.
Credits:
Developed by LANZ, this script combines time-based execution with dynamic structure protection, offering a disciplined framework for participating in the London session breakout with clear visuals and risk logic.
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
TrendCraft ICT SwiftEdge// The TrendCraft ICT SwiftEdge is a trend-following indicator that combines Simple Moving Averages (SMAs) with Inner Circle Trader (ICT) concepts, specifically Break of Structure (BOS) and Market Structure Shift (MSS), to generate precise buy and sell signals. This unique mashup leverages the strengths of trend confirmation through SMAs and market structure analysis via ICT to help traders identify high-probability trend entries. The indicator is designed to be intuitive, customizable, and suitable for traders of all levels seeking to align with market trends on various timeframes.
//
// ### What It Does
// The indicator plots two SMAs based on the high and low prices of candles to define the trend direction. It colors the SMAs and fills the area between them to visually indicate whether the price is in a bullish (above both SMAs), bearish (below both SMAs), or neutral (between SMAs) state. Simultaneously, it identifies BOS and MSS levels on a user-defined higher timeframe to confirm trend continuation or reversal points. Buy and sell signals are generated when the price closes above/below the latest BOS or MSS level (based on user preference) while also being correctly positioned relative to the SMAs, ensuring alignment with the trend.
//
// ### Why Combine SMAs and ICT?
// SMAs provide a reliable way to gauge trend direction by smoothing price data, but they can lag or generate false signals in choppy markets. ICT's BOS and MSS concepts address this by focusing on key market structure breaks, offering context for significant price movements. By requiring price to close beyond a BOS or MSS level and align with the SMA-defined trend, the TrendCraft ICT SwiftEdge filters out noise and enhances signal reliability. This combination creates a robust system that balances trend-following simplicity with structural market insights, making it ideal for trend traders.
//
// ### How to Use
// 1. **SMA Length**: Adjust the `SMA Length` (default: 20) to control the sensitivity of the SMAs. Shorter lengths react faster to price changes, while longer lengths provide smoother trends.
// 2. **Structure Timeframe**: Set the `Structure Timeframe` to a higher timeframe (e.g., "1H" on a 15M chart) to calculate BOS and MSS levels. This ensures structural signals are based on significant market moves.
// 3. **Chart Timeframe**: Select the `Chart Timeframe` to optimize pivot point calculations for your current chart (e.g., "30M" for a 30-minute chart).
// 4. **Signal Type**: Choose between "BOS" (default) for signals based on trend continuation breaks or "MSS" for signals based on potential reversal points (breakers).
// 5. **Display Options**: Enable/disable `Show Continuation (BOS)` and `Show Breaker (MSS)` to toggle the visibility of BOS and MSS lines. Customize their colors for better chart clarity.
//
// ### Signals
// - **Buy Signal**: Appears when the close price crosses above the latest BOS or MSS level (based on Signal Type) and is above both SMAs, indicating a bullish trend entry. Marked with a green "Buy" label.
// - **Sell Signal**: Appears when the close price crosses below the latest BOS or MSS level (based on Signal Type) and is below both SMAs, indicating a bearish trend entry. Marked with a red "Sell" label.
//
// ### Originality
// The TrendCraft ICT SwiftEdge stands out by integrating the trend-following reliability of SMAs with the structural precision of ICT's BOS and MSS. Unlike standalone SMA or ICT indicators, this script requires both trend alignment and structural confirmation, reducing false signals. The user-selectable Signal Type (BOS or MSS) adds versatility, allowing traders to adapt the indicator to trend-following or counter-trend strategies. Its dynamic timeframe adjustments and visual clarity make it a unique tool for traders seeking to capture trend entries with confidence.
//
// ### Notes
// - Ensure the `Structure Timeframe` is higher than your chart timeframe to avoid calculation issues.
// - Signals are generated only when the trend state changes to avoid redundant signals in the same trend direction.
// - Past performance is not indicative of future results. Always combine this indicator with other analysis and risk management techniques.
Reversal + Confirm ZonesThis script is written in Pine Script (version 5) for TradingView and creates an indicator called **"Reversal + Confirm Zones"**. It overlays visual zones on a price chart to identify potential reversal points and confirmation signals for trading. The indicator combines **Bollinger Bands** and **RSI** to detect overbought/oversold conditions (reversal zones) and uses **EMA crosses** and **MACD zero-line crosses** to confirm bullish or bearish trends. Below is a detailed explanation:
---
### **1. Purpose**
- The script highlights:
- **Reversal Zones**: Areas where the price might reverse due to being overbought (green) or oversold (red).
- **Confirmation Zones**: Areas where a trend reversal is confirmed using EMA and MACD signals (green for bullish, red for bearish).
- It provides visual backgrounds and alerts to assist traders in spotting potential trade setups.
---
### **2. Components**
The script is divided into two main parts: **Reversal Logic** and **Confirmation Logic**.
---
### **3. Reversal Logic (Red & Green Zones)**
#### **Bollinger Bands**
- **Parameters**:
- Length: 20 periods.
- Source: Closing price (`close`).
- Multiplier: 2.0 (standard deviations).
- **Calculation**:
- `basis`: 20-period Simple Moving Average (SMA).
- `dev`: 2 times the standard deviation of the price over 20 periods.
- `upper`: `basis + dev` (upper band).
- `lower`: `basis - dev` (lower band).
- **Purpose**: Identifies when the price moves outside the normal range (beyond 2 standard deviations).
#### **Relative Strength Index (RSI)**
- **Parameters**:
- Length: 14 periods.
- Low Threshold: 30 (oversold).
- High Threshold: 70 (overbought).
- **Calculation**: `rsiValue = ta.rsi(close, rsiLength)`.
- **Purpose**: Measures momentum to confirm overbought or oversold conditions.
#### **Zone Conditions**
- **Red Zone (Oversold)**:
- Condition: `close < lower` (price below lower Bollinger Band) AND `rsiValue < rsiLowThreshold` (RSI < 30).
- Visual: Light red background (`color.new(color.red, 80)`).
- Alert: "Deep Oversold Signal triggered!".
- **Green Zone (Overbought)**:
- Condition: `close > upper` (price above upper Bollinger Band) AND `rsiValue > rsiHighThreshold` (RSI > 70).
- Visual: Light green background (`color.new(color.green, 80)`).
- Alert: "Deep Overbought Signal triggered!".
#### **Interpretation**
- Red Zone: Suggests the price is oversold and may reverse upward.
- Green Zone: Suggests the price is overbought and may reverse downward.
---
### **4. Confirmation Logic (EMA and MACD Crosses)**
#### **Exponential Moving Averages (EMAs)**
- **Parameters**:
- Short EMA Length: 9 periods (user adjustable).
- Long EMA Length: 21 periods (user adjustable).
- **Calculation**:
- `emaShort = ta.ema(close, emaShortLength)`.
- `emaLong = ta.ema(close, emaLongLength)`.
- **Conditions**:
- **Bullish EMA Cross**: `emaCrossBullish = ta.crossover(emaShort, emaLong)` (9 EMA crosses above 21 EMA).
- **Bearish EMA Cross**: `emaCrossBearish = ta.crossunder(emaShort, emaLong)` (9 EMA crosses below 21 EMA).
#### **MACD**
- **Parameters**:
- Fast Length: 12 periods (user adjustable).
- Slow Length: 26 periods (user adjustable).
- Signal Smoothing: 9 periods (user adjustable).
- **Calculation**:
- ` = ta.macd(close, macdFastLength, macdSlowLength, macdSignalSmoothing)`.
- Only the MACD line and signal line are used; the histogram is ignored (`_`).
- **Conditions**:
- **Bullish MACD Cross**: `macdCrossBullish = ta.crossover(macdLine, 0)` (MACD crosses above zero).
- **Bearish MACD Cross**: `macdCrossBearish = ta.crossunder(macdLine, 0)` (MACD crosses below zero).
#### **Combined Confirmation Conditions**
- **Bullish Confirmation**:
- Condition: `bullishConfirmation = emaCrossBullish and macdCrossBullish`.
- Visual: Very light green background (`color.new(color.green, 90)`).
- Meaning: A bullish trend is confirmed when the 9 EMA crosses above the 21 EMA AND the MACD crosses above zero.
- **Bearish Confirmation**:
- Condition: `bearishConfirmation = emaCrossBearish and macdCrossBearish`.
- Visual: Very light red background (`color.new(color.red, 90)`).
- Meaning: A bearish trend is confirmed when the 9 EMA crosses below the 21 EMA AND the MACD crosses below zero.
---
### **5. Visual Outputs**
- **Reversal Zones**:
- Red background for oversold conditions.
- Green background for overbought conditions.
- **Confirmation Zones**:
- Light green background for bullish confirmation.
- Light red background for bearish confirmation.
- Note: The script does not plot the Bollinger Bands, EMAs, or MACD lines—only the background zones are visualized.
---
### **6. Alerts**
- **Deep Oversold Alert**: Triggers when the red zone condition is met.
- **Deep Overbought Alert**: Triggers when the green zone condition is met.
- No alerts are set for the confirmation zones (EMA/MACD crosses).
---
### **7. How It Works**
1. **Reversal Detection**:
- The script uses Bollinger Bands and RSI to flag extreme price levels (red for oversold, green for overbought).
- These zones suggest potential reversals but are not confirmed yet.
2. **Trend Confirmation**:
- EMA crosses (9/21) and MACD zero-line crosses provide confirmation of a trend direction.
- Bullish confirmation (green) occurs when both indicators align upward.
- Bearish confirmation (red) occurs when both indicators align downward.
3. **Trading Strategy**:
- Look for a red zone (oversold) followed by a bullish confirmation for a potential long entry.
- Look for a green zone (overbought) followed by a bearish confirmation for a potential short entry.
---
### **8. How to Use**
1. Add the script to TradingView.
2. Adjust inputs (EMA lengths, MACD settings) if desired.
3. Monitor the chart:
- Red zones indicate oversold conditions—watch for a potential upward reversal.
- Green zones indicate overbought conditions—watch for a potential downward reversal.
- Light green/red backgrounds confirm the trend direction after a reversal zone.
4. Set up alerts for oversold/overbought conditions to catch reversal signals early.
---
### **9. Key Features**
- **Dual Purpose**: Combines reversal detection (Bollinger Bands + RSI) with trend confirmation (EMA + MACD).
- **Visual Simplicity**: Uses background colors instead of plotting lines, keeping the chart clean.
- **Customizable**: Allows users to tweak EMA and MACD periods.
- **Alerts**: Notifies users of extreme conditions for timely action.
---
### **10. Limitations**
- No plotted indicators (e.g., Bollinger Bands, EMAs, MACD) for visual reference—relies entirely on background shading.
- Confirmation signals (EMA/MACD) may lag behind reversal zones, potentially missing fast reversals.
- No alerts for confirmation zones, limiting real-time notification of trend confirmation.
This script is ideal for traders who want a straightforward way to spot potential reversals and confirm them with trend-following indicators, all overlaid on the price chart.
Equity Curve with Trend Indicator (Long & Short) - SimulationOverview:
Market Regime Detector via Virtual Equity Curve is a unique indicator that simulates the performance of a trend-following trading system—incorporating both long and short trades—to help you identify prevailing market regimes. By generating a “virtual equity” curve based on simple trend signals and applying trend analysis directly on that curve, this indicator visually differentiates trending regimes from mean-reverting (or sideways) periods. The result is an intuitive display where green areas indicate a trending (bullish) regime (i.e., where trend-following strategies are likely to perform well) and red areas indicate a mean-reverting (bearish) regime.
Features:
Simulated Trade Performance:
Uses a built-in trend-following logic (a simple 10/50 SMA crossover example) to simulate both long and short trades. This simulation creates a virtual equity curve that reflects the cumulative performance of the system over time.
Equity Trend Analysis:
Applies an Exponential Moving Average (EMA) to the simulated equity curve to filter short-term noise. The EMA acts as a trend filter, enabling the indicator to determine if the equity curve is in an upward (trending) or downward (mean-reverting) phase.
Dynamic Visual Regime Detection:
Fills the area between the equity curve and its EMA with green when the equity is above the EMA (indicating a healthy trending regime) and red when below (indicating a mean-reverting or underperforming regime).
Customizable Parameters:
Easily adjust the initial capital, the length of the equity EMA, and other settings to tailor the simulation and visual output to your trading style and market preferences.
How It Works:
Trade Simulation:
The indicator generates trading signals using a simple SMA crossover:
When the 10-period SMA is above the 50-period SMA, it simulates a long entry.
When the 10-period SMA is below the 50-period SMA, it simulates a short entry. The virtual equity is updated bar-by-bar based on these simulated positions.
Equity Trend Filtering:
An EMA is calculated on the simulated equity curve to smooth out fluctuations. The relative position of the equity curve versus its EMA is then used as a proxy for the market regime:
Bullish Regime: Equity is above its EMA → fill area in green.
Bearish Regime: Equity is below its EMA → fill area in red.
Visualization:
The indicator plots:
A gray line representing the simulated equity curve.
An orange line for the EMA of the equity curve.
A dynamic fill between the two lines, colored green or red based on the prevailing regime.
Inputs & Customization:
Initial Capital: Set your starting virtual account balance (default: 10,000 USD).
Equity EMA Length: Specify the lookback period for the EMA applied to the equity curve (default: 30).
Trend Signal Logic:
The current implementation uses a simple SMA crossover for demonstration purposes. Users can modify or replace this logic with their own trend-following indicator to tailor the simulation further.
