TopTenAlgo 10. SQZMOM Algorithmic Strategy with Alerts & SignalsEN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator. Strategy, alarms and signals have been added to the indicator so that you can optimize in algorithmic trading.
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır. Göstergeye algoritmik işlemlerde optimizasyon yapabilmeniz için strateji, alrmlar ve sinyaller eklenmiştir.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim...
In den Scripts nach "momentum" suchen
S&P Bear Warning IndicatorTHIS SCRIPT HAS BEEN BUILT TO BE USED AS A S&P500 SPY CRASH INDICATOR ON A DAILY TIME FRAME (should not be used as a strategy).
THIS SCRIPT HAS BEEN BUILT AS A STRATEGY FOR VISUALIZATION PURPOSES ONLY AND HAS NOT BEEN OPTIMIZED FOR PROFIT.
The script has been built to show as a lower indicator and also gives visual SELL signal on top when conditions are met. BARE IN MIND NO STOP LOSS, NOR ADVANCED EXIT STRATEGY HAS BEEN BUILT.
As well as the chart SELL signal an alert option has also been built into this script.
The script utilizes a VIX indicator (maroon line) and 50 period Momentum (blue line) and Danger/No trade zone(pink shading).
When the Momentum line crosses down across the VIX this is a sell off but in order to only signal major sell offs the SELL signal only triggers if the momentum continues down through the danger zone.
A SELL signal could be given earlier by removing the need to wait for momentum to continue down through the Danger Zone however this is designed only to catch major market weakness not small sell offs.
As you can see from the picture between the big October 2018 and March 2020 market declines only 2 additional SELLS were triggered.
To use this indicator to identify ideal buying then you should only buy when Momentum line is crossed above the VIX and the Momentum line is above the Danger Zone (ideally 3 - 5 days above danger zone)
Combo Backtest 123 Reversal & Ergodic TSI This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
r - Length of first EMA smoothing of 1 day momentum 4
s - Length of second EMA smoothing of 1 day smoothing 8
u- Length of third EMA smoothing of 1 day momentum 6
Length of EMA signal line 3
Source of Ergotic TSI Close
This is one of the techniques described by William Blau in his book "Momentum,
Direction and Divergence" (1995). If you like to learn more, we advise you to
read this book. His book focuses on three key aspects of trading: momentum,
direction and divergence. Blau, who was an electrical engineer before becoming
a trader, thoroughly examines the relationship between price and momentum in
step-by-step examples. From this grounding, he then looks at the deficiencies
in other oscillators and introduces some innovative techniques, including a
fresh twist on Stochastics. On directional issues, he analyzes the intricacies
of ADX and offers a unique approach to help define trending and non-trending periods.
WARNING:
- For purpose educate only
- This script to change bars colors.
Script Criptomaníacos FuturesThis Script runs a strategy for long and short entries.
The strategy is based on a breakout system, that enters long or short based on previous support and resistences, and a series of indicators in order to read the trend and momentum of price charts.
We are only able to place entry orders when the background collor indicates price matches with the Trend/Momentum filters, being green for long and red for short trades.
The exit will always based on a trailling stop.
__________________________________________
Esse script roda uma estratégia para entradas em long e short.
A estratégia é baseada em um estratégias de rompimento, que entra Long ou Short baseado em suportes e resistências anteriores, além de uma série de indicadores afim de ler a tendência e o momentum do gráfico de preço.
Só estamos autorizados a emitir ordens de entrada quando o Background indica que o preço concorda com os filtros de Tendência/Momentum, sendo verde para Long (compra) e Short (venda).
A saída sempre vai ser baseada em um método de trailling stop.
IndianPivotBossMUPSThis is a new avatar of the MUPS (ManojUltimatePivotScalpingStrategy).
This Indicator is to be used with the following Indicators :
1) IndianPivotBossPEMA
2) IndianPivotBossPIVOTRSI
3) IndianPivotBossDPWMACD
4) IndianPivotBossPIVOTSHIFT
BcondA = crossover(close,dtime_up) or low > dtime_up
BcondB = crossover(low,imap) or crossover(low,dpivotema) or crossover(low,imapw) or crossover(low,imapm)
//BcondC = crossover(low,ddtime_pivot)
BcondD = crossover(low,wtime_pivot)
BcondE = crossover(low,mtime_pivot)
BcondF = crossover(low,idtime_pivot)
BcondG = imacd > 0 or imacdw > 0 or imacdm > 0
BcondH = (rsipe > 50 and rsipe > rsippe) or (rsipew > 50 and rsipew > rsippew) or (rsipem > 50 and rsipem > rsippem)
BcondI = crossover(imacd,0) and close > maFast
//BcondI = ( dtime_pwd < ema(dtime_pwd,8) and crossover(low,dtime_r1))
EcondS = (imacd < 0 or crossunder(imacd,0) or close < maSlow) and rsipe < 50 and rsippe < 50 //crossunder(high,dtime_pivot) or crossunder(high,dpivotema) or crossunder(close,wtime_pivot) or crossunder(high,idtime_pivot) or crossunder(rsipe,rsippe) or crossunder(rsipe,50) or crossunder(high,dtime_r1)
Objective :
To enter into a trade when the direction, trend and momentum is confirmed.
Rules :
The following are the broad conditions for taking a long position. Reverse is for Short.
Direction - Defined by price crossing either daily cpr / weekly pivot / monthly pivot / intraday 125 min pivot
Trend - Defined by IndianPivotBossPIVOTSHIFT and IndiaPivotBossDPWMACD. The latter is a variant of the former. The former gives advance indication of a trend, while the latter confirms moments later.
Momentum - Defined by IndianPivotBossPIVOTRSI.
The strategy takes long when direction is established by the price crossing pivots and trend is established with pivot shift indicator sloping upwards which is further confirmed by DPWMACD, which is a variant of pivot shift indicator, crossing midline and sloping upwards and Momentum is established by Pivot RSI indicator when it crosses 50 and is above its own EMA.
Exits are usually at close. In case if the combination fizzles out, the strategy shows exit signal if any of the 3 ie, direction / trend / momentum fizzles out.
It is suggested to close down the positions at day end as sometimes the strategy continues the position overnight if deemed fit.
Other Rules when you take a long trade based on the signal.
1) Ensure the price is above PEMA and PEMA is upward sloping.
2) Ensure the Pivot shift indicator is upward sloping; Ensure the DPWMACD is also upward sloping.
3) Ensure the Daily Pivot RSI is above 50 and is above its own EMA.
This is not a holy grail. Hence have a proper position sizing which is your ultimate defense.
IMPORTANT : WHEN YOU USE THIS INDICATOR ALONG WITH 1,2,3,4 MENTIONED IN THE TOP PORTION OF THIS POST, PLS ENSURE THAT THE STRATEGY CHOSEN IS MUPS AS ALL THOSE MENTIONED ABOVE ARE ALSO STRATEGIES ON ITS OWN. MUPS COMBINES ALL THESE.
Trading Public School ST1This is a derivative of Trading Public School "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11).
Black crosses on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release".
Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator , while I have used a different method (linreg based) to plot the histogram. 100% Profit & loss 10% Only
Combo Backtest 123 Reversal & CMOfilt This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots a CMO which ignores price changes which are less
than a threshold value. CMO was developed by Tushar Chande. A scientist,
an inventor, and a respected trading system developer, Mr. Chande developed
the CMO to capture what he calls "pure momentum". For more definitive
information on the CMO and other indicators we recommend the book The New
Technical Trader by Tushar Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc.
It is most closely related to Welles Wilder`s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to the
CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & CMOav This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots average of three different length CMO's. This indicator
was developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what he
calls "pure momentum". For more definitive information on the CMO and other
indicators we recommend the book The New Technical Trader by Tushar Chande
and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc.
It is most closely related to Welles Wilder?s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to
the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & CMOabsThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots the absolute value of CMO. CMO was developed by Tushar
Chande. A scientist, an inventor, and a respected trading system developer,
Mr. Chande developed the CMO to capture what he calls "pure momentum". For
more definitive information on the CMO and other indicators we recommend the
book The New Technical Trader by Tushar Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented indicators
such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely
related to Welles Wilder`s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to
the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & CMO & WMA This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots Chande Momentum Oscillator and its WMA on the
same chart. This indicator plots the absolute value of CMO.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder?s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly
see changes in net momentum using the 0 level. The bounded scale also allows
you to conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
TRIX strategy (lirshah)TRIX is an indicator that combines trend with momentum. The triple smoothed moving average covers the trend, while the 1-period percentage change measures momentum. In this regard, TRIX is similar to MACD and PPO. The standard setting for TRIX is 15 for the triple smoothed EMA and 9 for the signal line.
this strategy gives signals according to TRIX plot movement and has good resaults on xbtusd,btcusd, ethusd ,and ...
CMO & WMA Backtest ver 2.0 This indicator plots Chandre Momentum Oscillator and its WMA on the
same chart. This indicator plots the absolute value of CMO.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder?s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly
see changes in net momentum using the 0 level. The bounded scale also allows
you to conveniently compare values across different securities.
CMOfilt BacktestThis indicator plots a CMO which ignores price changes which are less
than a threshold value. CMO was developed by Tushar Chande. A scientist,
an inventor, and a respected trading system developer, Mr. Chande developed
the CMO to capture what he calls "pure momentum". For more definitive
information on the CMO and other indicators we recommend the book The New
Technical Trader by Tushar Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc.
It is most closely related to Welles Wilder`s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to the
CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
CMOabs Backtest This indicator plots the absolute value of CMO. CMO was developed by Tushar
Chande. A scientist, an inventor, and a respected trading system developer,
Mr. Chande developed the CMO to capture what he calls "pure momentum". For
more definitive information on the CMO and other indicators we recommend the
book The New Technical Trader by Tushar Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented indicators
such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely
related to Welles Wilder`s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to
the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
CMO & WMA Backtest This indicator plots Chande Momentum Oscillator and its WMA on the
same chart. This indicator plots the absolute value of CMO.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder?s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly
see changes in net momentum using the 0 level. The bounded scale also allows
you to conveniently compare values across different securities.
Ergotic TSI Strategy Backtest r - Length of first EMA smoothing of 1 day momentum 4
s - Length of second EMA smoothing of 1 day smoothing 8
u- Length of third EMA smoothing of 1 day momentum 6
Length of EMA signal line 3
Source of Ergotic TSI Close
This is one of the techniques described by William Blau in his book "Momentum,
Direction and Divergence" (1995). If you like to learn more, we advise you to
read this book. His book focuses on three key aspects of trading: momentum,
direction and divergence. Blau, who was an electrical engineer before becoming
a trader, thoroughly examines the relationship between price and momentum in
step-by-step examples. From this grounding, he then looks at the deficiencies
in other oscillators and introduces some innovative techniques, including a
fresh twist on Stochastics. On directional issues, he analyzes the intricacies
of ADX and offers a unique approach to help define trending and non-trending periods.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Quantum Terminal V30 by OeZkAn🚀 Quantum Terminal V30 - Elite Algorithmic Suite
Overview
Quantum Terminal V30 is a high-performance trend-following and momentum strategy designed for traders who demand precision, visual clarity, and automation readiness. Built on a sophisticated triple-filter logic, this script identifies high-probability entry points while managing risk through a dynamic Reward-to-Risk (RRR) framework.
Core Logic & Indicators
The strategy utilizes a multi-layered approach to filter out market noise and capture significant price movements:
Dynamic EMA Ribbon: Uses a 10/45 EMA crossover to identify the primary trend direction.
RSI Momentum Filter: Ensures entries only occur when price momentum confirms the trend strength (above 53 for Long, below 47 for Short).
ADX Trend Power: A volatility filter that prevents trading in "flat" or sideways markets, only allowing entries when the ADX > 20.
Volatility Anchor: Incorporates Bollinger Band median checks to ensure the price is not overextended at the moment of entry.
Key Features
Elite Visual Design: Features a "Neon-Dark" interface with Rocket (Buy) and Skull (Sell) icons for instant signal recognition.
Integrated Command Center: A real-time dashboard displaying Net Profit, Win Rate, and active Order details (Entry, SL, TP) directly on the chart.
Automation Ready: Fully optimized for Webhooks and API trading. The script calculates all necessary execution data, making it compatible with bots like 3Commas, WunderTrading, or custom Python setups.
Precision Risk Management: Uses ATR-based Stop Losses to adapt to changing market volatility, aiming for a consistent 1:2 Risk-to-Reward ratio.
Strategy Settings
For optimal results, it is recommended to use this strategy on the following assets and timeframes:
Preferred Assets: BTC/USDT, ETH/USDT, or high-volume stocks.
Timeframes: 15m, 30m, or 1h for the best balance between signal frequency and accuracy.
Broker Settings: Ensure you account for exchange fees in the Strategy Tester properties for realistic backtest results.
Disclaimer
Past performance does not guarantee future results. This script is for educational and informational purposes only. Trading involves significant risk.
15 Min Best Strategy (ETH 90%) HFT🚀 15-Min HFT Quantum Momentum (90% Win Rate)
This is a high-frequency trading (HFT) strategy specifically optimized for Ethereum (ETH) on the 15-minute timeframe. Designed for precision and speed, this algorithm focuses on capturing micro-trend shifts using advanced momentum-filtering and volume-delta analysis.
📊 Strategy Performance Overview
Asset: ETHUSDT / ETHUSD
Timeframe: 15 Minutes
Historical Win Rate: 90%+ (Backtested over 12+ months)
Target: High frequency, low drawdown, and rapid compounding.
🧠 Core Methodology
The strategy utilizes a proprietary "Momentum Scapel" logic that identifies institutional liquidity pools before price expansion. Unlike lagging indicators, this HFT model looks for:
Volatility Compression: Detecting "coiling" phases before a breakout.
Volume Confirmation: Filtering out fake-outs by analyzing buying/selling pressure.
Dynamic ATR Exits: Adaptive Take-Profit and Stop-Loss levels that adjust to ETH's current volatility.
⚙️ How to Use
Timeframe: Set your chart to exactly 15m.
Pair: Optimized for ETH (works best on high-liquidity exchanges like Binance or ByBit).
Inputs: You can toggle the Risk/Reward ratio in the settings to suit your personal risk tolerance.
Alerts: Fully compatible with TradingView alerts for automated execution via webhooks.
🔒 Access & Privacy
Note: The source code for this script is Protected. Users can apply the strategy to their charts and utilize the Strategy Tester to verify results, but the underlying Pine Script logic is encrypted to protect intellectual property and prevent unauthorized reproduction.
Candlestick Pattern Strategy with Risk Management + AlertsThis strategy is built to detect volatility-driven squeeze expansion moves and automatically backtest both Breakout Longs and Breakdown Shorts with adjustable take-profit, stop-loss and volume confirmation filters.
It includes a built-in Auto-Optimizer, allowing the script to test multiple TP/SL/RSI/Volume profiles and automatically select the best configuration for the current market environment. Works across Stocks, Crypto and Forex — with each market automatically adjusting core system parameters.
🚀 Strategy Features
Feature Description
🔥 Long + Short Squeeze Detection Entries triggered by volatility expansion + BB break + strong momentum
⚙️ Auto-Optimizer Searches multiple TP/SL/RSI/Volume settings & selects best performer
📈 Full Backtest-Ready Strategy Includes stops, take profits + built-in performance table
🔔 Real-Time Alerts Get alerted instantly when a long or short squeeze event forms
🔄 Multi-Market Mode Tailored volatility & smoothing settings for Stocks / Crypto / Forex
🧠 Vol Spike Validation Filters signals using relative volume impulse
🏁 Trade Exit Logic Dynamic SL/TP calculated automatically based on optimized parameters
📊 How It Works
Detects breakouts above upper Bollinger band or breakdowns below lower band
Confirms strength using ATR expansion + Volume Surge
Confirms momentum using RSI selection (9/14/20 based on profile)
Enters Long/Short squeeze trade depending on breakout direction
Risk management automatically deploys TP + SL, optimized or manual
Displays performance statistics after backtest execution
🧬 Auto-Optimizer Logic
If Optimizer Mode = ON, the script tests:
Variable Range Tested
TP % 8 → 15%
SL % 4 → 8%
Volume Spike Filter 1.5 → 3.0x
RSI Window 9 / 14 / 20
The configuration that produces the highest score becomes active automatically for signals + backtest.
🛎 Alerts Included
🔥 Long Squeeze Alert
💀 Short Squeeze Alert
You can create TradingView alerts using → Add Alert → ANY alert() function call
Recommended Use
✔ Backtest system performance across assets
✔ Use Optimizer mode to find ideal TP/SL profiles
✔ Enable alerts for real-time squeeze entries
✔ Works best on 1h / 4h / 1D timeframes
🚫 Not financial advice — for research + strategy development only
Monthly DI+ & RSI StrategyOverview This strategy is designed to capture significant trend reversals and continuations on the Monthly timeframe. It combines the trend-following capability of the Directional Movement Index (DMI) with the fast momentum detection of RSI (Period 6).
Core Logic The strategy triggers a long position based on a dual-confirmation system. It looks for a specific "handshake" between Trend (DI) and Momentum (RSI).
Entry Conditions (OR Logic) A Buy signal is generated if EITHER of the following occurs:
Trend Trigger: DI+ crosses over DI- (while RSI is already bullish, trading above its SMA).
Momentum Trigger: RSI(6) crosses over RSI SMA(14) (while the trend is already bullish, with DI+ > DI-).
Exit Condition (Stop Loss)
Trend Reversal: The position is closed immediately if DI- crosses over DI+, indicating the bullish trend has been invalidated.
Default Settings
Timeframe: Optimized for 1M (Monthly) charts.
RSI: Length 6
RSI SMA: Length 14
DMI: Length 14 / Smoothing 14
Risk Warning This script is for educational purposes only. Past performance does not guarantee future results. Always backtest on your specific asset classes before trading.
Daily Open Shift The "Daily Open Shift" System (V2.0)
1. The Setup (Indicators & Timeframe)
• Timeframe: 15-Minute Chart (Execution).
• Key Levels: Daily Open (DO) or New York Open (NYO).
• Trend Indicators:
o 24 & 42 EMA Ribbon (Exponential Moving Averages).
o 30-Minute Supertrend.
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2. Phase 1: Establish The Bias (The Filter)
This is the V2 upgrade. We do not trade against the day's opening momentum.
1. Mark the Open: Draw a horizontal line at the Daily Open (00:00) or Session Open.
2. The "First 2H" Rule: Observe the price action for the first 2 hours after the open.
o First 2H are Green/Bullish? → You are LONG BIAS only for the rest of the session. (Ignore all sell signals).
o First 2H are Red/Bearish? → You are SHORT BIAS only for the rest of the session. (Ignore all buy signals).
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3. Phase 2: The Signal (The Switch)
Wait for the chart to confirm your bias technically.
1. The Switch: Price must cross and close a 15M candle on the correct side of the Daily Open.
o Longs: Price switches from below to above DO.
o Shorts: Price switches from above to below DO.
2. Indicator Confluence:
o EMAs: Must be crossed in your direction (Green for Long, Red for Short).
o 30M Supertrend: Must match your direction.
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4. Phase 3: The Entry (The Trigger)
We never chase the breakdown. We wait for the price to come to us.
1. The Pullback: Wait for the price to retrace and touch/wick into the 24/42 EMA Ribbon.
2. The Confirmation: Watch the candle that touches the EMA.
o It must reject the EMA (wick off it) and close respecting the trend.
o Do not enter if the candle closes forcefully through the EMA, breaking structure.
3. Execution: Enter Market Order immediately on that candle close.
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5. Phase 4: Risk Management (The Math)
This is the V2 upgrade. We aim for higher profitability.
1. Stop Loss (SL):
o Longs: Placed strictly below the lowest EMA band.
o Shorts: Placed strictly above the highest EMA band.
o Logic: If price crosses the EMA band completely, the trend is dead. Get out.
2. Take Profit (TP):
o FIXED 3R (Reward = 3x Risk).
o Example: If Risk is $100, TP is set to make $300.
o Rule: Do not move the TP. Do not close early. Let the math play out.
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Summary Checklist (Print This)
Time: Is the First 2H bias clear? (Green=Buy / Red=Sell)
Switch: Did price close above/below the Daily Open?
Trend: Are EMAs crossed and Supertrend agreeing?
Patience: Did I wait for the price to pull back to the EMA band?
Trigger: Did the candle close respecting the EMA?
Execution: Market Entry + Stop Loss behind EMA + Fixed 3R Target.
Mindset: Am I at "2/10" emotion? Set the trade and walk away.
Quantum X StrategyQuantum X Strategy is a structured market-behavior based trading model developed for Midcap Nifty on the 15-minute timeframe.
It focuses on identifying directional strength, momentum alignment, and price participation using a multi-factor confirmation approach.
Rather than relying on a single indicator, the strategy evaluates multiple dimensions of price movement to determine whether the market environment is favorable for participation. This helps in avoiding random entries during low-quality or sideways conditions.
🔍 Conceptual Framework
The strategy dynamically observes:
Momentum expansion and contraction
Trend participation strength
Directional consistency over recent price action
Each market condition contributes to an internal decision process, allowing trades only when sufficient alignment is present. This approach helps filter out noise and improves trade selectivity.
📊 Trade Execution Philosophy
Trades are initiated only when market structure shows clear directional intent
Both bullish and bearish opportunities are evaluated independently
Positions are exited when momentum balance weakens or returns to a neutral state
No over-trading during indecisive phases
The system is designed to stay inactive during uncertain market conditions, which is a key part of its risk-aware behavior.
🕒 Backtesting Scope
For consistency and reliability, the strategy logic is activated only from January 2024 onward, ensuring analysis is focused on recent market behavior rather than outdated volatility patterns.
⚙️ Usage Guidelines
Instrument: MIDCAPNIFTY
Timeframe: 15 Minutes
Suitable for intraday and short-term positional observation
Works best when combined with disciplined risk management
⚠️ Disclaimer
This strategy is provided strictly for educational and research purposes.
Market conditions change, and past performance does not guarantee future results. Users should always forward-test and apply their own risk management before live use.
FxAST LiteWave Universal Profiles (intraday / swing)FxAST Lite Wave — Universal (Profiles)
This strategy is intended for educational and analytical use.
Derivative works must retain attribution and license terms.
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Overview
FxAST Lite Wave is a rule-based trend participation strategy designed to adapt across multiple markets and timeframes using a simple profile switch.
Rather than attempting to predict reversals or tops and bottoms, the strategy focuses on identifying continuation opportunities once directional alignment and market participation are already present.
Its purpose is to provide a structured, repeatable framework for studying trend behavior and managing trades within established directional moves.
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How It Works
FxAST Lite Wave evaluates market conditions using a layered confirmation process that includes:
• Directional bias
• Trend alignment
• Momentum participation
• Volatility suitability
• Market regime awareness
Trades are only considered when these conditions align, helping to reduce low-quality signals and overtrading during unfavorable environments.
Two built-in profiles are provided:
Intraday — designed for shorter-term participation
Swing — designed for higher-timeframe continuation
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Core Concepts (Plain English)
Direction
Identifies which side of the market is currently in control.
This answers:
“Is pressure aligned for continuation?”
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Momentum
Confirms that price is moving with intent rather than drifting or stalling.
This answers:
“Is participation present?”
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Regime
Filters out unfavorable conditions such as congestion, compression, or low-energy chop.
This answers:
“Is this a tradable environment?”
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Continuation Focus
Entries are designed to occur after alignmen t, not at arbitrary turning points.
The strategy favors:
• Pullbacks within trend
• Momentum resumption
• Sustained directional movement
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Risk & Trade Management
FxAST Lite Wave includes structured trade management logic:
• Volatility-aware initial risk
• Optional partial profit taking
• Optional breakeven and trailing behavior
• Optional time-based exits
• Optional equity-based position sizing
A built-in on-chart Backtesting HUB displays live performance statistics for transparency and review.
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Philosophy
FxAST Lite Wave is intentionally not a signal-spamming strategy .
It is designed to:
• Reduce decision fatigue
• Encourage rule-based consistency
• Support disciplined execution
If you need:
precise entries → use price action
precise exits → use structure
system context → use Lite Wave
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Disclaimer
This strategy is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions. responsible for their own decisions.
