BTC Daily Strategy BFStrategy based on code by @CredibleHulk so thanks for that.
This is a strategy for the Daily Bitcoin chart which uses the MACD, RSI, Stochastic RSI and a moving average.
The conditions for long or short signals depend on the indicators above crossing user-defined thresholds.
Long signal = (Stochastic RSI k value is below Stochastic Sell Threshold) AND EITHER (MACD delta crosses above MACD Threshold OR RSI crosses above RSI Threshold)
Short signal = (MACD delta crosses below 0) AND EITHER (Close Price - an SMA of the ohlc4 values crosses below the DMA threshold OR Stochastic RSI k value is above Stochastic Sell Threshold)
INSTRUCTIONS
Green background = go long
Red background = go short
You can adjust stop loss values for long or short signals in settings as well as all parameters for the indicators.
Cerca negli script per "stoch"
Bollinger Bands %b & RSI & Stochastic Smoothed Indicator & AlertThis indicator displays RSI, a normalized Bollinger Band &b (Usual 0 -1 range of BB normalized to the OBOS range of RSI), and a normalized smoothed Stochastic (again, normalized to the OBOS of RSI) simultaneously with a single indicator.
It also displays buy and sell signals based upon the above.
The stochastic can be turned on and off, and the sell signal calculation will be changed accordingly (Stochastic not used to calculate buy signal).
All periods, OBOS levels, deviation, etc, are user adjustable. The buy and sell arrows can be optionally turned off.
The indicator supports alerts for the buy and sell signals.
This is a considerably rewritten, cleaned up, and updated version of my BB %b & RSI Indicator and Alert with many more features, and including a stochastic.
This indicator is mainly for use with Cryptocurrencies in shorter time periods to display possible trade opportunities. Can also be used with Forex.
Synthetic Vix StochasticI noticed that this indicator was not in the public library, so I decided to share it. This is Larry Williams take on stochastics, based on his idea of synthetic vix. Thanks to Active trader magazine, his article on the idea shows us how this tool can be used as a timing instrument for his sythetic vix. The idea he relates is that the market becomes oversold at the height of volatility and the stochastic can highlight the periods when the panic may be over. This is evidenced by readings above 80 and below 20. He states that his indicator is less reliable at market tops rather than bottoms, and evidence suggests just that. Stochastics readings in this indicator have been adjusted to look and 'feel' like traditional readings. His suggested settings are the default, but I have included a more traditional line in the code that reads the WVF high and low in the calculation instead of just the WVF, just uncomment the appropriate lines and see for yourself. This indicator works really well with the Williams Vix Fix, inverted of course, coded by ChrisMoody.
Enjoy responsibly
ShirokiHeishi
see the notes on chart
Ata Low rsi macd aomacd stochastic and divergensesBrief Description of the Script
The script is a multi‑indicator trading tool for the TradingView platform (Pine Script v5) that combines several technical analysis elements to help traders identify market trends, potential reversals, and entry/exit points.
эту версию скрипта не обновляю. для получения обновлений в лс.
Key features:
Multiple Oscillators
The user can select one of four oscillators to display:
RSI (Relative Strength Index) — identifies overbought/oversold conditions;
Stoch (Stochastic Oscillator) — detects potential reversals via %K and %D line interactions;
MACD (Moving Average Convergence/Divergence) — shows trend direction and momentum shifts;
AO+MACD — combines Awesome Oscillator (AO) for momentum with MACD for trend confirmation.
Divergence Detection
Identifies four types of price‑oscillator divergences:
Bullish regular (price lows vs. higher oscillator lows);
Bullish hidden (higher price lows vs. lower oscillator lows);
Bearish regular (price highs vs. lower oscillator highs);
Bearish hidden (lower price highs vs. higher oscillator highs).
Divergences are marked on the chart with labels and lines.
Customizable Parameters
Users can adjust:
Oscillator periods (e.g., RSI length, Stoch K/D smoothing, MACD fast/slow/signal lengths);
Source prices (close, high, low, etc.);
Visual settings (colors, line widths, label styles);
Divergence sensitivity (minimum bars between swing points).
Trend and Volatility Analysis
EMA crossover (fast/slow) to determine trend direction;
ATR‑based volatility score (1–5 scale);
RSI‑derived trend strength (1–50 scale);
ADX filter to confirm trend strength (>20).
Additional Signals
Awesome Oscillator “Tea Saucer” patterns for potential long/short entries;
Fibonacci‑Bollinger bands to spot price deviations and reversal zones;
Volume filter to confirm reversals;
Session timing table (optional) showing active/upcoming market sessions (Asia, London, NYSE, etc.).
Visual Outputs
Plots for selected oscillator (RSI, Stoch, MACD, or AO);
Shaded zones (e.g., RSI overbought/oversold areas);
Divergence lines and labels (color‑coded by type);
Reversal “circles” (blue for bullish, red for bearish);
Summary label with trend direction, volatility, and strength;
Optional session timing table.
Purpose:
To provide a comprehensive view of market momentum, trend, and potential reversal setups by combining oscillator crossovers, divergences, volatility, volume, and session context — helping traders time entries and exits across multiple timeframes.
Hyper Strength Index | QuantLapse🧠 Hyper Strength Index (HSI) | QuantLapse
Overview:
The Hyper Strength Index (HSI) is a composite momentum oscillator designed to unify multiple strength measures into a single, adaptive framework. It combines the Relative Strength Index (RSI), Chande Momentum Oscillator (CMO), Money Flow Index (MFI), and Stochastic RSI to deliver a refined, multidimensional view of market momentum and overbought/oversold conditions.
Unlike traditional oscillators that rely on a single formula, the HSI averages four distinct momentum perspectives — price velocity, directional conviction, volume participation, and stochastic behavior — offering traders a more balanced and noise-resistant reading of market strength.
⚙️ Calculation Logic:
The Hyper Strength Index is computed as the normalized average of:
📈 RSI — classic measure of relative momentum.
💪 CMO — captures directional bias and intensity of moves.
💵 MFI — integrates volume and money flow pressure.
🔄 Stochastic RSI (K-line) — identifies momentum extremes and short-term turning points.
This fusion creates a smoother, more comprehensive signal, mitigating the weaknesses of any single oscillator.
🎯 Interpretation:
Overbought Zone (Default: > 75):
Indicates potential exhaustion of bullish momentum — a cooling phase or reversal may follow.
Oversold Zone (Default: < 7):
Suggests bearish exhaustion — a rebound or accumulation phase may emerge.
Neutral Zone (Between 7 and 75):
Represents balanced market conditions or trend continuation phases.
Visual cues highlight key conditions:
🔺 Red Highlights — Overbought regions or downward inflection points.
🔻 Green Highlights — Oversold regions or upward inflection points.
Neutral zones are shaded with subtle gray backgrounds for clarity.
💡 Key Features:
🔹 Multi-factor strength analysis (RSI + CMO + MFI + StochRSI).
🔹 Adaptive overbought/oversold detection.
🔹 Visual alerts via colored backgrounds and bar markers.
🔹 Customizable smoothing and length parameters for fine-tuning sensitivity.
🔹 Intuitive visualization ideal for both short-term scalping and swing trading setups.
🧭 Usage Notes:
Works best as a momentum confirmation tool — pair with trend filters like EMA, SuperTrend, or ADX.
In trending markets, use crossovers from extreme zones as potential continuation or exhaustion signals.
In ranging markets, exploit overbought/oversold reversals for high-probability mean reversion trades.
📘 Summary:
The Hyper Strength Index | QuantLapse distills multiple dimensions of market strength into a single, cohesive oscillator. By merging price, volume, and directional momentum, it provides traders with a more robust, responsive, and context-aware perspective on market dynamics — a next-generation evolution beyond the limitations of RSI or CMO alone.
REMS Snap Shot OverlayThe REMS Snap Shot indicator is a multi-factor, confluence-based system that combines momentum (RSI, Stochastic RSI), trend (EMA, MACD), and optional filters (volume, MACD histogram, session time) to identify high-probability trade setups. Signals are only triggered when all enabled conditions align, giving the trader a filtered, visually clear entry signal.
This indicator uses an optional 'look-back' feature where in it will signal an entry based on the recency of specified cross events.
To use the indicator, select which technical indicators you wish to filter, the session you wish to apply (default is 9:30am - 4pm EST, based on your chart time settings), and if which cross events you wish to trigger a reset on the cooldown.
The default settings filter the 4 major technical indicators (RSI, EMAs, MACD, Stochastic RSI) but optional filters exist to further fine tune Stochastic Range, MACD momentum and strength, and volume, with optional visual cues for MACD position, Stochastic RSI position, and volume.
EMAs can be drawn on the chart from this indicator with optional shaded background.
This indicator is an alternative to REMS First Strike, which uses a recency filter instead of a cool down.
REMS First Strike OverlayThe REMS First Strike indicator is a multi-factor, confluence-based system that combines momentum (RSI, Stochastic RSI), trend (EMA, MACD), and optional filters (volume, MACD histogram, session time) to identify high-probability trade setups. Signals are only triggered when all enabled conditions align, giving the trader a filtered, visually clear entry signal.
This indicator uses an optional 'cool down' feature where in it will signal an entry only after any of the specified cross events occur.
To use the indicator, select which technical indicators you wish to filter, the session you wish to apply (default is 9:30am - 4pm EST, based on your chart time settings), and if which cross events you wish to trigger a reset on the cooldown.
The default settings filter the 4 major technical indicators (RSI, EMAs, MACD, Stochastic RSI) but optional filters exist to further fine tune Stochastic Range, MACD momentum and strength, and volume, with optional visual cues for MACD position, Stochastic RSI position, and volume.
EMAs can be drawn on the chart from this indicator with optional shaded background.
This indicator is an alternative to REMS Snap Shot, which uses a recency filter instead of a cool down.
Triple SRSI-MFI Ⅲ - Multi TimeframeTriple SRSI-MFI Ⅲ - Multi Timeframe Indicator
Description
The Triple SRSI-MFI Ⅲ - Multi Timeframe indicator is a powerful tool designed to combine Stochastic RSI (SRSI) and Money Flow Index (MFI) across multiple timeframes (higher, current, and lower). It provides a comprehensive view of market momentum and potential overbought/oversold conditions by calculating a weighted hybrid of SRSI-MFI values from three different timeframes. The indicator also integrates Bollinger Bands to help identify trend direction and volatility.
This indicator is ideal for traders who want to analyze market conditions across multiple timeframes without switching charts. It automatically adjusts settings based on the current timeframe and includes a dynamic weighting system optimized for Bitcoin volatility. Additionally, a real-time information panel displays the market state (buy/sell) and signal strength.
Key Features
Multi-Timeframe Analysis: Combines SRSI-MFI from higher, current, and lower timeframes for a holistic view.
Dynamic Weighting: Automatically adjusts weights for each timeframe based on Bitcoin volatility, with an option for manual customization.
Bollinger Bands Integration: Visualizes trend direction and volatility using Bollinger Bands, with customizable source selection.
Real-Time Info Panel: Displays market state (buy/sell) and signal strength (%) in the top-right corner of the chart.
Customizable Settings: Allows users to tweak MFI source, Bollinger Bands parameters, and visibility of individual components.
How to Use
Add to Chart: Add the "Triple SRSI-MFI Ⅲ - Multi Timeframe" indicator to your chart.
Interpret Signals:
Market State (Buy/Sell): Shown in the info panel. "Buy" when the average SRSI-MFI is above the Bollinger Bands basis, "Sell" when below.
Strength (%): The relative position of the average SRSI-MFI within the Bollinger Bands, scaled from 0% to 100%.
Overbought/Oversold Levels: The indicator plots horizontal lines at 80 (overbought) and 20 (oversold). Use these as potential reversal zones.
Combine with Price Action: Use the indicator in conjunction with price action or other tools for better decision-making.
Adjust Settings: Customize the settings (e.g., Bollinger Bands length, weights, visibility) to match your trading style.
Settings
MFI Source: Select the source for MFI calculation (default: "hlc3"). Options include "close", "open", "high", "low", "hl2", "hlc3", "ohlc4".
Bollinger Bands:
Length: Period for Bollinger Bands calculation (default: 20).
Multiplier: Standard deviation multiplier for the bands (default: 2.0).
Source: Choose which SRSI-MFI value to use for Bollinger Bands ("averageHybrid", "hybrid_higher", "hybrid_current", "hybrid_lower"; default: "hybrid_higher").
Weights:
Auto Weight Enabled: Enable/disable automatic weights based on Bitcoin volatility (default: true).
Higher/Current/Lower Weights: Manually set weights for each timeframe if auto-weight is disabled (defaults: 1.5, 1.0, 0.5).
Indicator On/Off:
Toggle visibility for Higher SRSI-MFI, Current SRSI-MFI, Lower SRSI-MFI, Average SRSI-MFI, and Bollinger Bands.
How It Works
SRSI-MFI Calculation:
Stochastic RSI (SRSI) and Money Flow Index (MFI) are calculated for three timeframes: higher, current, and lower.
The hybrid value (SRSI * (MFI / 100)) is computed for each timeframe.
Weighted Average:
The hybrid values are combined into a weighted average (averageHybrid) using dynamic or manual weights.
Bollinger Bands:
Bollinger Bands are applied to the selected source (e.g., hybrid_higher) to identify trend direction and volatility.
Relative Position:
The position of averageHybrid within the Bollinger Bands is scaled to a percentage (0% to 100%) for strength assessment.
Visualization:
Plots individual SRSI-MFI lines, Bollinger Bands, and overbought/oversold levels.
A real-time info panel provides market state and signal strength.
Notes
This indicator is best used as part of a broader trading strategy. It is not a standalone signal generator and should be combined with other forms of analysis.
The automatic weights are optimized for Bitcoin (BTC) volatility. For other assets, you may need to adjust the weights manually.
The indicator may require sufficient historical data to calculate higher and lower timeframe values accurately.
Fib TSIFib TSI = Fibonacci True Strength Index
The Fib TSI indicator uses Fibonacci numbers input for the True Strength Index moving averages. Then it is converted into a stochastic 0-100 scale.
The Fibonacci sequence is the series of numbers where each number is the sum of the two preceding numbers. 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610...
TSI uses moving averages of the underlying momentum of a financial instrument.
Stochastic is calculated by a formula of high and low over a length of time on a scale of 0-100.
How to use Fib TSI:
100 = overbought
0 = oversold
Rising = bullish
Falling = bearish
crossover 50 = bullish
crossunder 50 = bearish
The default input settings are:
2 = Stoch D smoothing
3 = TSI signal
TSI uses 2 moving averages compared with each other.
5 = TSI fastest
TSI uses 2 moving averages compared with each other.
Default value is 3/5.
color = white
8 = TSI fast
TSI uses 2 moving averages compared with each other.
Default value is 5/8.
color = blue
13 = TSI mid
TSI uses 2 moving averages compared with each other.
Default value is 8/13.
color = orange
21 = TSI slow
TSI uses 2 moving averages compared with each other.
Default value is 13/21.
color = purple
34 = TSI slowest
TSI uses 2 moving averages compared with each other.
Default value is 21/34.
color = yellow
55 = Stoch K length
All total / 5 = All TSI
color rising above 50 = bright green
color falling above 50 = mint green
color falling below 50 = bright red
color rising below 50 = pink
Up bullish reversal = green arrow up
bullish trend = green dots
Down bearish reversal = red arrow down
bearish trend = red dots
Horizontal lines:
100
75
50
25
0
2 different visual options example snapshot:
RSI with J-Line ***For ease of use, I recommend changing the J Histogram to a line indicator, then it works like the KDJ Stochastic indicator. Full disclosure, I created this script with the help of GPT. This script was inspired by the KDJ Stochastic indicator by Dreadblitz***
The "RSI with J-Line" script is essentially a modified Relative Strength Index (RSI) indicator with an added histogram component. Here's how to use the different components of the script:
RSI Line (Blue): The RSI is a momentum oscillator that measures the speed and change of price movements. It oscillates between zero and 100, and is typically used to identify overbought and oversold conditions in a market. Traditionally, readings over 70 are considered overbought, and readings under 30 are considered oversold. However, these are not strict rules and can vary depending on the market and the overall trend.
RSI Smooth Line (Orange): This is the simple moving average of the RSI. It helps to smooth out the RSI and to identify the overall trend of the momentum. When the RSI line crosses above the RSI Smooth line, it might indicate that the momentum is moving upwards. When the RSI line crosses below the RSI Smooth line, it might indicate that the momentum is moving downwards.
RSI J-Line (Red Histogram): The J-Line is an additional line that's calculated as 3*rsiSmooth - 2*rsi. It's similar to the %J line in the Stochastic indicator and is designed to provide quicker signals than the RSI or RSI Smooth line. When the histogram is above the 0 line, it might indicate bullish momentum. When it's below the 0 line, it might indicate bearish momentum.
Please note that these interpretations are standard for these types of indicators, but actual market behavior can be complex and is influenced by many factors. Indicators should be used as part of a comprehensive trading strategy, not in isolation. Always take into account other market information and indicators before making trading decisions.
Super 6x: RSI, MACD, Stoch, Loxxer, CCI, & Velocity [Loxx]Super 6x: RSI , MACD , Stoch , Loxxer, CCI , & Velocity is a combination of 6 indicators into one histogram. This includes the option to allow repainting.
What is MACD?
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA .
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
What is RSI?
The relative strength index is a technical indicator used in the analysis of financial markets. It is intended to chart the current and historical strength or weakness of a stock or market based on the closing prices of a recent trading period. The indicator should not be confused with relative strength .
What is Stochastic?
The stochastic oscillator, also known as stochastic indicator, is a popular trading indicator that is useful for predicting trend reversals. It also focuses on price momentum and can be used to identify overbought and oversold levels in shares, indices, currencies and many other investment assets.
What is Loxxer?
The Loxxer indicator is a technical analysis tool that compares the most recent maximum and minimum prices to the previous period's equivalent price to measure the demand of the underlying asset.
What is Velocity?
In simple words, velocity is the speed at which something moves in a particular direction. For example as the speed of a car travelling north on a highway, or the speed a rocket travels after launching.
How to use
Long signal: All 4 indicators turn green
Short signal: All 4 indicators turn red
Included
Bar coloring
Alerts
[blackcat] L2 Vitali Apirine Weekly & Daily StochasticsLevel 2
Background
Vitali Apirine’s articles in the Sep issues on 2018,“Weekly & Daily Stochastics”
Function
In “Weekly & Daily Stochastics” in this issue, author Vitali Apirine introduces a novel approach to using the classic stochastic indicator in a way that simulates calculations based on different timeframes while using just a daily interval chart. He describes a number of ways to use this new indicator that allows traders to detect the state of longer-term trends while looking for entry points and reversals. Here, I am providing the TradingView pine code for an indicator based on the author’s ideas.
Remarks
Feedbacks are appreciated.
Forex scalper 2xEMA + SRSI + MACDThis is a forex scalping strategy designed for the most liquid pairs, like major forex pairs.
Its made of
1 EMA 50
1 EMA 100
Stochastic RSI
MACD
Rules
For long :close of the candle is above moving average 50, moving average 50> moving average 100, macd histogram is positive and cross over of stochastic rsi with the oversold level.
For short :close of the candle is below moving average 50, moving average 50 < moving average 100, macd histogram is negative and cross under of stochastic rsi with the overbought level.
Exit
For exit we have take profit and stop loss using fixed pip points.
For this example on EURUSD we use 20 pips for both tp and sl
IF you have any questions let me know !
Adaptive Double EMA StochInspired from the Works of Double Smoothed Stochastic by Walter Bressert,
I present to you!
Adaptive Double EMA Stoch Which Performs adaptively to the volumetric trends,
So the Green and Red Area Regions which you over the Stoch Indicator is the direction in which you should trade, These Areas are formed by a volumetric adaptive stoch, of adaptive period determined by the crosses of VWMA 55 and VWMA 200
The blue line is a stationary fixed length Double EMA Stoch of length 14,
How to Trade
1. Get the Status of the Trend : green area, for Bullish and red for Bearish from adaptive stoch
2. Check for the First Overbought (of stationary Stoch / blue line above 80) in Bearish Trend to go short
and similarly first Oversold (blue line below 20) in Bullish Trend to go long!
Enjoy!
scalping against trapped countertrendAbstract
This script attempts to find the end of countertrend.
This script uses oscillators to measure long term and short period trends. When the long term trend keeps positive and clear short term period is over, this script provides a buy signal.
This script does not contain pullback, cut loss and re-enter. You need to add it manually.
Introduction
Many traders want to buy when long term trend is bullish and short term pullback is over.
This is because we can take advantage to the emotion of countertrend traders.
Countertrend traders realizes their profit is finite and therefore want to protect their profit well and limit their loss.
This script is inspired by a searchable trading strategy video.
The video mentioned 4 points.
(1) long term trend. The video did not spend much ink on this point. You can use any method to observe.
(2) clear pullback bar (at least 50% body)
(3) weak bar after clear pullback
(4) entry trigger buy stop
This script attempts to quantize these points to determine trading direction.
This script is originally designed for timeframes lower than examples in the video but you can apply it on any timeframe.
Computing and Adjusting
(1) long term trend
This script uses smoothed stochastic.
(2) clear pullback bar
Since this script is originally designed for timeframes lower than examples in the video, so the condition becomes:
RSI is low enough
(3) weak bar after clear pullback
RSI goes back from low level.
(4) entry trigger buy stop
This script does not include this condition.
You can decide enter when buy stop or pullback.
Parameters
x_src : the value for computing oscillators
x_len_a : how many bars for measuring short term trend
x_len_b : how many bars for measuring long term trend
x_k_b : smooth long term trend, the average value of stochastic values
x_changk = check if clear short term pullback appears recently. 1 means do not use, larger numbers means how long of periods to check.
x_rsi_ct : threshold of short term pullback clear
x_rsi_ft : threshold of short term pullback end
Reading numbers in Strategy Tester
Most possible loss :
(1) to find rational pullback. Generally 1/3 to 2/3 atr.
(2) to find cut loss distance. Generally 1 to 2 atr.
Most possible profit :
to find if trading the opposite direction against this script is profitable.
Conclusion
This script can suggest us trading direction.
Waiting for pullback can reduce risk, compared to buy stop.
This script does not provide good signals in sideways markets.
Reference
A searchable trading strategy video
[blackcat] L2 Ehlers Stochastic RSILevel: 2
Background
John F. Ehlers introuced his Stochastic RSI in August, 2006.
Function
John Ehlers' article in August, 2006, "Modeling The Market = Building Trading Strategies," describes a process for extracting trend and cyclic elements from market data, then recombining them for trading purposes. He used the Stochastic RSI denoted the cyclic elements.
Key Signal
StochRSI--> Ehlers Stochastic RSI fast line
Trigger--> Ehlers Stochastic RSI slow line
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 70th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
MTF Stochastic with automatic divergenceThis is a stochastic indicator that show the stochastic in your current timeframe and also the stochastic from the timeframe above (if current is 15 mins - the above is 1 hour etc). When the 2 stochastics align the background colour highlights to emphasise that. The idea being that you have your current stochastic pushing down improving your change of a successful entry and the stochastic from above pushing down showing there is momentum in that direction.
In addition, the indicator will show when positive and negative divergence occurs on the current timeframe. Divergence can be a little subjective but it seems to find the important ones.
Finally, it highlights when the current stochastic crosses. I was finding once you squash it down it gets difficult to see so I made that easier.
For me I don't tend to use the divergence feature (which is ironic as i found it very hard to code) but being able to see what is happening on the timeframe above is a very effective filter saving me from bad trades.
The script is a little scruffy in places but neat enough to adapt to other indicators. Somewhere I have the same principle for MACD - one of these days I'll find it and make it available.
Hope thats useful to people and good luck.
Stuffed Oscillators/てんこ盛りオシレーターStuffed Oscillators
You can use Stochastic RSI, Stochastic, RSI at once.
てんこ盛りオシレーター
ストキャスティクスRSI, ストキャスティクス, RSIをいっぺんに使えます。
Multiple MACD RSI simple strategySimple strategy script I've had for a while but looks like I never published.
Although it is one of my most simple it seems to have the best profitability. It is pretty rough though. the Stoch RSI has only a little weight to the trade trigger. I'll refine it more over time or you can by all means. Basically the Stoch RSI current K line has to be OVER 40 to trigger a SELL. It has no effect on buy side.
The triggers are roughly as follows:
Year - since so many assets have gone 2x, 3x, 10x+ since 2013 having a strategy that earns a 500% return from 2013 to now isn't that good if buy-and-holding would have got you 800%. This eliminates some of that noise and makes it a little easier to quickly gauge success. So buy/sell trigger need a value of greater or equal to 2018 (default)
MACD 1 - First MACD (short) needs to indicate greater than 0 to buy or less than 0 to sell.
MACD 2 - Same as MACD1 but for second MACD set (long)
Uptrend - Latest close + high divided by last periods close + high needs to be grater than 1. So if latest is 34.30 close and 34.60 high and previous interval is 34.80 close and 34.82 high, that is 0.99 and will not trigger a buy trade.
Downtrend - Same thing but close + low and less than 1.
This script/strategy is pretty rough but if there is interest I'll polish it more since it is a pretty solid but simple strategy for most assets.
Adaptive StochasticAdapt To The Right Situation
There are already some Adaptive Stochastic scripts out there, but i didn't see the concept of using different periods highest/lowest for their calculations. What we want
for such oscillator is to be active when price is trending and silent during range periods. Like that the information we will see will be clear and easy to use.
Switching between a long term highest/lowest during range periods and a short term highest/lowest during trending periods is what will create the adaptive stochastic.
The switching is made thanks to the Efficiency Ratio , the period of the efficiency ratio is determined by the length parameter.
The period of the highest and lowest will depend on the slow and fast parameters, if our efficiency ratio is close to one (trending market) then the indicator will use highest and lowest of period fast , making the indicator more reactive, if our efficiency ratio is low (ranging market) then the indicator will use highest and lowest of period slow , making the indicator less reactive.
The source of the indicator is a running line ( lsma ) of period slow-fast .
it is also possible to switch the parameters values, making the indicator reactive during ranging market and less reactive during trending ones.
Hope you enjoy
For any questions/demands feel free to pm me, i would be happy to help you
NG [Multi-Stochastics]Multiple stochastic script with trend direction.
* Each base shows 3 lines multiplied by 1.618
* Possible to chose how to calculate MA of stochastics SMA, EMA, DEMA, TEMA.
* Possible to chose how to calculate trend.
* Trend adjustment is to adapt to current situation not for signals
Fast stochastics gives a lot of noise but some times good for scalping.
Market Exhaustion [WavesUnchained]Market Exhaustion
Multi-oscillator exhaustion detector combining MFI + optional CCI, HTF bias, StochRSI timing, and a divergence engine with an Exhaustion Score (0-100).
CORE CONCEPT
- Detects exhaustion via regular divergences anchored on price pivots
- Scores each divergence (0-100) using 5 components
- Line width = quality, color = direction (never thicker than main line)
OSCILLATOR MODES
- MFI : Engine uses MFI only
- CCI : Engine uses CCI mapped to 0-100
- MFI+CCI : Both plotted, engine source selectable (MFI or CCI)
EXHAUSTION SCORE (0-100)
1. Sequence (Div 1/2/3...) - repeated attempts increase score
2. Fatigue - no new oscillator extreme over lookback
3. Formation Time - bars between pivots
4. Reaction - post-divergence bounce/drop vs ATR
5. Impulse - MFI/CCI delta + swing size
DIVERGENCE ENGINE
- Price-pivot anchored (LL/HH) with osc confirmation (HL/LH)
- OS/OB gating with dynamic zones + fallback to 20/80
- Tolerant direction checks (price + osc eps)
- Auto cleanup (max objects)
HTF CONTEXT
- Auto-HTF MFI bias label
- Optional HTF filter for signals
- Bias bonus (optional) for Exhaustion Score
SIGNALS & TIMING
- StochRSI timing + MFI zone confirmation
- Context + timing signals (L/S markers)
- Zone confirm bars
VISUALIZATION
- Color-coded MFI line (OB/OS/neutral)
- Optional CCI (mapped 0-100) line
- Divergence line width = quality, endpoint markers
- Optional mid-label with score
- Dynamic zones + optional fill
BEST USE CASES
- Reversal scouting at extremes
- Filtering weak swings
- 15M-4H swing exhaustion reads
- HTF bias + divergence confluence
Version: 1.0.0
Author: WavesUnchained
Pine Script: v6
