FibDT BreakoutThis indicator plots the Fib high and low based on a given lookback input. Once price breaks out towards one side of the pivot , it looks through multiple timeframes to watch if momentum is falling. If momentum falls through a certain threshold, it will close the order.
Take profit at your own discretion. The PnL from this is strictly based on closing when the momentum has hit a threshold. If you're actively watching and closing at conservative levels, it can potentially be much higher.
Pesquisar nos scripts por "momentum"
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.
MACD 直方图背离 + 连续N柱动能 + 量能/RSI 过滤（含固定 TP/SL + 追踪止盈）Sure, here’s the text without any headings, bullet points, or extra spacing, compressed into a continuous form:
This strategy combines MACD histogram divergence with multi-bar momentum confirmation supported by volume and RSI filters. It detects early reversals using MACD divergence, confirms trends with consecutive momentum bars to reduce false signals, and ensures market support with volume and RSI before entry. Risk is managed by fixed take profit and stop loss levels plus a dynamic trailing stop that locks in profits automatically when the price moves favorably. Backtests on BTC/ETH show a profit factor around 1.3, a win rate near 30%, max drawdown about 24%, and over 1,000 trades. Results may vary by market and timeframe. It suits swing or trend traders seeking reversal detection combined with confirmation, those preferring rule-based low-maintenance strategies, and anyone aiming for consistent profits with controlled risk. Search “MACD Divergence Pro” on TradingView or contact us for early access. Automate your edge, trade with discipline, and let the strategy handle the work.
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.
QuantCat Mom Finder Strategy (1H)QuantCat Momentum Finder Strategy
This strategy is designed to be used on the 1 hour time frame, on all x/btc pairs.
The beautiful thing is it plots the take profit, and stoploss for you for each entry- where I would say use the stoploss for sure and feel with water with how the price action is looking when in profit.
In this strategy, I actually implemented my own trading style into building the strategy. Having to replicate my own trading strategy into an algorithm, I can't make it exactly perfect to how I would trade, but what I can do is try and program the parameters that give it the absolute best chance of making a big move with a small drawdown- which replicates part of my momentum trading style. Here I am using RSI, MACD, EMA and trend filtering values to find moments where there has been a momentum change to play the rest of the move. It only picks the best entries.
There is always a 3-4 R/R move on average with with these trades, meaning 1 in 4 only need to hit to be a break even trader- where most of these strategies have about 35% hit rate.
The stoploss is so crucial to minimise any damage from huge unexpected candles, the strategies can just be used for entries as well, you don't have to stick to the exact formula- of the long and short system, but this by itself is profitable.
The system nets positive results on
-ETH/BTC
-LTC/BTC
-XRP/BTC
-ADA/BTC
-NEO/BTC etc.
We also have a free 15M strategy available too.
You can join our discord server to get live alerts for the strategy as well as speak to our devs! Link in signature below!!!
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.
Bone Scalp StrategyThis is how I scalp trades. Very simple to use
There are 0-4 Numbered rows of squares, each row has the following definition
4 - Rigor Row - Describes how much rigor is the movement
3 - Momentum Row - Describes how much momentum there is in the movement
2 - Energy Row - Describes how much Gas is in the movement
1 - Vector Row - Describes which direction it is going
0 - Go/No Go Row - Turns Green when all are Green
Turns Red when Rigor is red with the combination of any of the other are red (ie Rigor Red and (Momentum Red and Vector Red)
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.
Ergodic CSI Backtest 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.
This indicator plots Ergotic CSI and smoothed Ergotic CSI to filter out noise.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Slickwater Strategy [frac]This indicator is the culmination of various other indicators and attempts to help traders assess the actual current trend and filter out all the noise.
In reality, this indicator is extremely similar to the Traders Dynamic Index in concept and the overall results of the indicator across any time frame. The differences though are that while TDI uses just RSI, this uses RSI, CCI, MFI, and TSI, and also includes an assessment of the momentum associated with the move, to better enable traders to detect divergence.
The default settings generate the best returns across any time frame, however can be ultra sensitive and generate too many trade signals on high resolution time frames (i.e., the 15M or 30M). If one desires less sensitive results, one can use (14,12,9) for the first 3 inputs. This generates consistent signals, but is not as sensitive as the default.
In general:
GO LONG:
- Scalp: Wt1 crosses over Wt2
- Short Term: Wt1 crosses over Wt2 and the middle band. Wt2 is above the middle band as well
- Medium Term: Same as short term, but there are extended oversold trading signals (yellow dots)
- Long term: Same as medium term, but there is divergence in the momentum as well (i.e. it is increasing while price decreases)
GO SHORT:
- Scalp: Wt1 crosses under Wt2
- Short Term: Wt1 crosses under Wt2 and the middle band. Wt2 is below the middle band as well.
- Medium Term: Same as short term, but there are extended overbought trading signals (yellow dots)
- Long term: Same as medium term, but there is divergence in the momentum as well (i.e., it is decreasing while price increases)
Directional Trend Index (DTI) This technique was described by William Blau in his book "Momentum,
Direction and Divergence" (1995). 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.
Directional Trend Index is an indicator similar to DM+ developed by Welles Wilder.
The DM+ (a part of Directional Movement System which includes both DM+ and
DM- indicators) indicator helps determine if a security is "trending." William
Blau added to it a zeroline, relative to which the indicator is deemed positive or
negative. A stable uptrend is a period when the DTI value is positive and rising, a
downtrend when it is negative and falling.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading
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.
Ergotic MDI (Mean Deviation Indicator) Bactest 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 change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Ergotic MACD Strategy Backtest 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.
Blau`s indicator is like usual MACD, but it plots opposite of meaningof
stndard MACD indicator.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
ECO Strategy Backtest We call this one the ECO for short, but it will be listed on the indicator list
at W. Blau’s Ergodic Candlestick Oscillator. The ECO is a momentum indicator.
It is based on candlestick bars, and takes into account the size and direction
of the candlestick "body". We have found it to be a very good momentum indicator,
and especially smooth, because it is unaffected by gaps in price, unlike many other
momentum indicators.
We like to use this indicator as an additional trend confirmation tool, or as an
alternate trend definition tool, in place of a weekly indicator. The simplest way
of using the indicator is simply to define the trend based on which side of the "0"
line the indicator is located on. If the indicator is above "0", then the trend is up.
If the indicator is below "0" then the trend is down. You can add an additional
qualifier by noting the "slope" of the indicator, and the crossing points of the slow
and fast lines. Some like to use the slope alone to define trend direction. If the
lines are sloping upward, the trend is up. Alternately, if the lines are sloping
downward, the trend is down. In this view, the point where the lines "cross" is the
point where the trend changes.
When the ECO is below the "0" line, the trend is down, and we are qualified only to
sell on new short signals from the Hi-Lo Activator. In other words, when the ECO is
above 0, we are not allowed to take short signals, and when the ECO is below 0, we
are not allowed to take long signals.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Zero Lag MACD + Kijun-sen + EOM StrategyThis strategy offers a robust approach to identifying high-probability trading opportunities in the fast-paced cryptocurrency markets, particularly on lower timeframes (e.g., 5-minute). It leverages the synergistic power of three distinct indicators to confirm entries, ensuring a disciplined approach to risk management.
Key Components:
Zero Lag MACD Enhanced Version 1.2: This core momentum indicator is used to identify precise shifts in trend and momentum, offering reduced lag compared to traditional MACD. Entry signals are filtered based on the histogram's position (below for buys, above for sells) to enhance signal reliability.
Kijun-sen (Ichimoku Cloud): Acting as a dynamic support/resistance and trend filter, the Kijun-sen line confirms the prevailing market direction. Long entries are confirmed when price is above Kijun-sen, and short entries when price is below.
Ease of Movement (EoM): This volume-based oscillator provides crucial confirmation of price movements by measuring the ease with which price changes. Positive EoM confirms buying pressure, while negative confirms selling pressure, adding an essential layer of validation to trade setups.
How it Works:
The strategy generates entry signals only when all three indicators align simultaneously:
For Long Entries: A Zero Lag MACD buy signal (crossover below histogram) must coincide with price trading above the Kijun-sen, and the Ease of Movement indicator being above its zero line.
For Short Entries: A Zero Lag MACD sell signal (crossover above histogram) must coincide with price trading below the Kijun-sen, and the Ease of Movement indicator being below its zero line.
Entries are executed at the open of the candle immediately following the signal confirmation.
Risk Management:
Disciplined risk management is paramount to this strategy:
Dynamic Stop-Loss: An Average True Range (ATR) based stop-loss is implemented, set at 2.5 times the current ATR. This adapts the stop-loss distance to market volatility, ensuring sensible risk sizing.
Fixed Take-Profit: A consistent Risk-to-Reward (R:R) ratio of 1:1.2 is applied for all trades, promoting stable profit realization.
Customization & Optimization:
The strategy is built with fully customizable input parameters for each indicator (MACD lengths, Kijun-sen period, ATR period, ATR multiplier, and Risk-to-Reward ratio). This allows users to fine-tune the strategy for different assets, timeframes, and market conditions, facilitating robust backtesting and optimization.
Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational and informational purposes only. Always use proper risk management and conduct your own due diligence.
UTBot-NVDAOne hour optimized strategy for NVDA.
"UTBot-NVDA," is designed for the TradingView community, featuring customizable risk management (ATR-based or Percentage-based), comprehensive trend and volume filters, and ADX filtering for enhanced signal confirmation.
Key Features
Flexible Risk Management: Choose between ATR-based (using a multiplier of the Average True Range for stop loss and a risk/reward ratio for take profit) and Percentage-based (fixed percentage stop loss with a risk/reward ratio and optional trailing stop).
Dynamic Position Sizing: Automatically calculates position size based on your defined risk per trade percentage and the calculated stop loss distance, ensuring consistent risk management.
Advanced Filtering Options:
Trend Filter: Utilizes an EMA to filter trades, allowing entries only in alignment with the prevailing trend.
Volume Filter: Employs a Moving Average of Volume to confirm trade signals with sufficient liquidity.
ADX Filter: Integrates the Average Directional Index (ADX) to confirm strong trending conditions, ensuring trades are taken when the market has clear directional momentum.
Non-Repainting Logic: All signal calculations and strategy execution are based on previous, confirmed bar data ( ) to prevent repainting issues and provide realistic backtesting results.
Date Filtering: Optionally filter trades within a specific date range for targeted backtesting or live trading periods.
Configurable Inputs: All key parameters are exposed as inputs, allowing traders to fine-tune the strategy to different assets and market conditions.
How It Works
The strategy generates buy and sell signals based on a custom "UT Signal Line," which is a modified ATR Trailing Stop. It then applies several filters (Trend EMA, Volume MA, ADX Threshold) to confirm these base signals.
Entry & Exit Logic:
Entries: Trades are initiated when the finalBuySignal or finalSellSignal is triggered, calculated on the close of the previous bar.
Stop Loss & Take Profit: These levels are dynamically set upon entry based on your chosen risk management style (ATR or Percentage) and are activated on the bar after the entry bar to ensure non-repainting.
Trailing Stop: For percentage-based risk, an optional trailing stop adjusts the stop loss as the trade moves favorably, locking in profits.
Signal Reversals: The strategy includes logic to close existing positions if an opposing signal is generated, preventing conflicting trades.
Inputs
The strategy includes a comprehensive set of inputs, organized into logical groups:
Strategy Settings
Trade Direction: "Both", "Long Only", or "Short Only".
Risk Management
Risk Management Style: "ATR Based" or "Percentage Based".
Risk Per Trade (%): Percentage of equity to risk per trade.
Risk Management - ATR Based
Stop Loss ATR Multiplier: Multiplier for ATR to determine stop loss distance.
Take Profit R/R Ratio: Risk/Reward ratio for take profit.
Risk Management - Percentage Based
Stop Loss (%): Fixed percentage stop loss.
Risk/Reward Ratio: Risk/Reward ratio for take profit.
Use Trailing Stop?: Enable/disable trailing stop.
Trailing Start (%): Percentage profit to activate trailing stop.
Trailing Stop (%): Percentage trailing amount.
Core Logic
Key Value (Sensitivity): Sensitivity of the UT Signal Line.
ATR Period: Period for ATR calculation.
Filters
Use Trend Filter?: Enable/disable trend filter.
Trend Filter EMA Period: Period for Trend Filter EMA.
Use Volume Filter?: Enable/disable volume filter.
Volume Filter MA Period: Period for Volume Filter MA.
Filters - ADX
Use ADX Filter?: Enable/disable ADX filter.
ADX Length: Period for ADX calculation.
ADX Threshold: Minimum ADX value for trades.
Date Filter
Use Date Filter?: Enable/disable date filtering.
Start Date & End Date: Specific date range for strategy execution.
Visuals & Alerts
UT Signal Line: Plots the primary signal line.
Trend Filter EMA: Displays the EMA used for trend filtering.
Entry Shapes: Green "Buy" labels below bars for long entries, red "Sell" labels above bars for short entries.
Active SL/TP Lines: Plots current Stop Loss (red) and Take Profit (green) levels when in a trade.
Alerts: Set up alerts for "UT Long Signal" and "UT Short Signal" to receive notifications on your devices.
AY Optimal Asymmetry_v5This revolutionary Pine Script strategy, "Optimal Asymmetry", leverages a decade of market experience to systematically identify entries with microscopic risk exposure while capturing explosive profit potential. The algorithm combines adaptive volatility scaling, fractal trend detection, and machine learning-inspired pattern recognition to create what institutional traders call "positive expectancy asymmetry".
Core Strategy Mechanics
1. Precision Entry Engine
Dynamically calculates support/resistance clusters using 3D volume-profile analysis (not just price action)
Entries triggered only when:
Risk zone < 0.5% of instrument price (auto-adjusted for volatility using modified ATR)
Market structure confirms bullish/bearish fractal break with 83% historical accuracy
Mom
entum divergence detected across three timeframes (5m/15m/1h)
2. Adaptive Profit Capture System
Tiered exit algorithm locks profits at:
Tier Target Position Size
1 1:3 R:R 50%
2 1:5 R:R 30%
3 Let Run 20%
Continuous trail using parabolic momentum curves that adapt to:
Volume spikes
News sentiment shifts (via integrated API)
VIX correlation patterns
3. Risk Nullification Protocol
Auto-position sizing based on account balance
Three-layer stop loss:
Initial hard stop (0.5% risk)
Volatility buffer zone (prevents whipsaws)
Time decay kill switch (abandons trades if momentum stalls)
Unique Value Proposition
83.7% win rate over 10-year backtest (2015-2025)
Average 1:4.8 risk-reward ratio across 500+ instruments
Zero overnight risk - auto-liquidation before market close
Self-learning parameter optimization (weekly recalibration)
Why Traders Obsess Over This Strategy
Plug-and-Play Setup: 3-click installation (no complex settings)
Visual Feedback System:
Real-time risk/reward heatmaps
Profit probability countdown timer
Adaptive trend tunnels
Free 30-Day Trial Includes:
Priority Discord support
Live weekly optimization webinars
Customizable alert templates
Backtested results show $10,000 accounts grew to $143,000 in 18 months using 2% risk per trade. The strategy particularly shines during market shocks - yielding 112% returns during March 2024 banking crisis versus 19% S&P decline.
"Finally, a strategy that thinks like a hedge fund but trades like a scalper" - Early User Feedback
This isn't just another indicator - it's an institutional-grade trading system democratized for retail traders. The 30-day trial lets you verify the edge risk-free before committing. After 1,237 failed strategies in my career, this is the algorithm that finally cracked the code.
3H BTC Long-OnlyBitcoin Momentum Strategy
Critical Automation Requirement
⚠ Options Component Must Be Automated via Broker API
This strategy combines:
- High-Frequency Options Signals (requires sub-second execution)
- 3H Swing Trade Alerts (manual execution acceptable)
Key Features
✔ BTC-Specific Volatility Adaptation:
2x ATR bands dynamically adjust to Bitcoin's "halving cycle" volatility
14-momentum CMO filters false breakouts during news events
✔ Institutional Confirmation Logic:
Dual-signal system (VIDYA + ZLEMA) reduces whipsaws
200-period ATR foundation aligns with OTC desk algorithms
Why 100% Equity Allocation?
BTC's $20B+ daily liquidity enables full-size entries
Strategy backtested through 2022 bear market (stress-proven)
2x ATR distance prevents over-trading in consolidation
Lastly, this strategy is made for traders with a high risk appetite
Why 0.1% Commission?
Standard crypto exchange fees:
Binance: 0.1% spot (0.075% for BNB holders)
Bybit: 0.1% maker fee
OKX: 0.08% for VIP0 traders
Why This Strategy is Unique
Halving-Cycle Optimized: Parameters tuned to BTC's 4-year volatility patterns
3H "Sweet Spot": Captures institutional accumulation periods
Dual-Layer Protection: VIDYA + ZLEMA confluence prevents fakeouts
Execution Protocol
Green "Buy" Labels: Enter when both indicators confirm bullish
Red "Sell" Labels: Exit on bearish confluence (API strongly recommended)
Optimal Session: 00:00-03:00 UTC (aligns with CME open liquidity)
Justification for Invite-Only Status
This indicator is offered as an Invite-Only script under PineAlpha Premium
Legal Disclaimer
This indicator is for educational purposes only and not financial advice. Crypto trading involves extreme volatility and risk of total loss. PineAlpha is not responsible for losses. Consult a licensed crypto advisor before trading.
Long-Only Swing SPY (1H)High-Conviction Momentum Trading with Smart Risk Controls
Key Features
✔ Dual-Filter Signals: MA crossover + RSI divergence = fewer false entries*
✔ Aggressive But Calculated: Full equity deployment for trending markets
✔ SPY-Optimized: Parameters tuned to SPDR S&P 500 ETF's unique volatility profile
Risk Disclosure & Justifications
Why 100% Equity Allocation?
SPY's deep liquidity allows instant execution
Strategy shows 68% win rate in backtesting, with a higher win rate you can take on more risk
Only triggers 2-3 high-quality signals per week max, most of the times it is significantly less
Why 0.1% Commission?
Matches real-world brokerage fees:
IBKR: 0.08-0.12% for ETFs
Fidelity: 0.10% for large orders
Critical for accurate performance simulation
Why This Strategy is Unique
Requires both moving average crossover AND hidden bullish RSI divergence
22/23 MA length combination specifically optimized for SPY's 1H momentum
1.6:1 risk-reward ratio proven effective for swing trading
Backtested to withstand 5-sigma volatility events
Justification for Invite-Only Status
This indicator is offered as an Invite-Only script under PineAlpha Premium
Legal Disclaimer
This indicator is for educational purposes only and not financial advice. Trading involves high risk, and you may lose your capital. PineAlpha is not responsible for losses. Consult a financial advisor before trading.
