Best strategy for TradingView (fake)Hello everyone! I want to show you this strategy so you don't fall for the tricks of scammers. On TradingView, you can write an algorithm (probably more than one) that will show any profit you want: from 1% to 100,000% in one year (maybe more)! This can be done, for example, using the built-in linebreak () function and several conditions for opening long and short.
I am sure that sometimes scammers show up on TradingView showing their incredible strategies. Will a smart person sell a profitable quick strategy? When a lot of people start using the quick strategy, it stops working. Therefore, no smart person would sell you a quick strategy. It is acceptable to sell slow strategies: several transactions per month - this does not greatly affect the market.
So, don't fall for the tricks of scammers, write quick strategies yourself.
About this strategy, I can say that the linebreak () function does not work correctly in it. Accordingly, the lines are not drawn correctly on the chart. They are drawn in such a way as to show the maximum profit. I watched this algorithm on a 1m timeframe - no lines are drawn in real time. This is a fake!
Pesquisar nos scripts por "algo"
T3 ICL MACD STRATEGY
Backtested manually and received approx 60% winrate. Tradingview strategy tester is skewed because this program does not specify when to sell at profit target or at a stop loss.
Uses 1 min for entry and a longer time frame for confirmation (5,10,15, etc..) (Not sure what the yellow arrows are in the picture but they can be ignored)
Ideal Long Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert long. It first checks to see if the the ICL is greater than T3. Once that condition is met T3 must be green in order to enter long and finally the last closing price has to be greater than the ICL. You can use the MACD to further verify a long trend as well!
Ideal Short Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert short. It first checks to see if the the ICL is less than T3. Once that condition is met T3 must be red in order to enter short and finally the last closing price has to be less than the ICL. You can use the MACD to further verify a long trend as well!
KundaliniThe Kundalini is a technical indicator. Based on algorithm calculations, this indicator extrapolates the previous price for the next bar. Plus addition Multi time frame ATR volatility Reading environment for higher conditions
Here is how Dominator is calculated:
1. The study estimates the price projected for the next bar. The estimated price is based on the algorithm method.
2. The study extrapolates this value to find a projected price change for the next bar.
The resulting extrapolated value is shown as a histogram on a lower subgraph. By default, sections of the histogram where the extrapolated value is increasing are shown in green; sections corresponding to the decreasing value are shown in red.
Note: Value projection is purely mathematical as all calculations are based on algorithm averaging of previous values.
Overlay True
The strategy includes 3 different adjustable levels for the ladder , plus automatic adjustable stop loss and takes profit calculated from your average entry price after each ladder adds.
Adjustable BAcktest Window.
1 long signals
3 ladder long add signals
1 short signals
3 ladder short add signals
1 dynamic stop calculated from your average entry price
1 dynamic take profit calculated from your average entry price
Please Private Msg me if you like more info about the script Full pdf available or if you need access to it
thx for your time and support
Dominator Ladder StrategyThe Dominator is a technical indicator. Based on algorithm calculations, this indicator extrapolates the previous price for the next bar.
Here is how Dominator is calculated:
1. The study estimates the price projected for the next bar. The estimated price is based on the algorithm method.
2. The study extrapolates this value to find a projected price change for the next bar.
The resulting extrapolated value is shown as a histogram on a lower subgraph. By default, sections of the histogram where the extrapolated value is increasing are shown in green; sections corresponding to the decreasing value are shown in red.
Note: Value projection is purely mathematical as all calculations are based on algorithm averaging of previous values.
Note: lower subgraph it's just for you to understand and view the waves during the Strategy process Study it's not included in this strategy.
Overlay True
The strategy includes 3 different adjustable levels for the ladder , plus automatic adjustable stop loss and takes profit calculated from your average entry price after each ladder adds.
Adjustable BAcktest Window.
1 long signals
3 ladder long add signals
1 short signals
3 ladder short add signals
1 dynamic stop calculated from your average entry price
1 dynamic take profit calculated from your average entry price
Parabolic RSI Strategy [ChartPrime × PineIndicators]This strategy combines the strengths of the Relative Strength Index (RSI) with a Parabolic SAR logic applied directly to RSI values.
Full credit to ChartPrime for the original concept and indicator, licensed under the MPL 2.0.
It provides clear momentum-based trade signals using an innovative method that tracks RSI trend reversals via a customized Parabolic SAR, enhancing traditional oscillator strategies with dynamic trend confirmation.
How It Works
The system overlays a Parabolic SAR on the RSI, detecting trend shifts in RSI itself rather than on price, offering early reversal insight with visual and algorithmic clarity.
Core Components
1. RSI-Based Trend Detection
Calculates RSI using a customizable length (default: 14).
Uses upper and lower thresholds (default: 70/30) for overbought/oversold zones.
2. Parabolic SAR Applied to RSI
A custom Parabolic SAR function tracks momentum within the RSI, not price.
This allows the system to capture RSI trend reversals more responsively.
Configurable SAR parameters: Start, Increment, and Maximum acceleration.
3. Signal Generation
Long Entry: Triggered when the SAR flips below the RSI line.
Short Entry: Triggered when the SAR flips above the RSI line.
Optional RSI filter ensures that:
Long entries only occur above a minimum RSI (e.g. 50).
Short entries only occur below a maximum RSI.
Built-in logic prevents new positions from being opened against trend without prior exit.
Trade Modes & Controls
Choose from:
Long Only
Short Only
Long & Short
Optional setting to reverse positions on opposite signal (instead of waiting for a flat close).
Visual Features
1. RSI Plotting with Thresholds
RSI is displayed in a dedicated pane with overbought/oversold fill zones.
Custom horizontal lines mark threshold boundaries.
2. Parabolic SAR Overlay on RSI
SAR dots color-coded for trend direction.
Visible only when enabled by user input.
3. Entry & Exit Markers
Diamonds: Mark entry points (above for shorts, below for longs).
Crosses: Mark exit points.
Strategy Strengths
Provides early momentum reversal entries without relying on price candles.
Combines oscillator and trend logic without repainting.
Works well in both trending and mean-reverting markets.
Easy to configure with fine-tuned filter options.
Recommended Use Cases
Intraday or swing traders who want to catch RSI-based reversals early.
Traders seeking smoother signals than price-based Parabolic SAR entries.
Users of RSI looking to reduce false positives via trend tracking.
Customization Options
RSI Length and Thresholds.
SAR Start, Increment, and Maximum values.
Trade Direction Mode (Long, Short, Both).
Optional RSI filter and reverse-on-signal settings.
SAR dot color customization.
Conclusion
The Parabolic RSI Strategy is an innovative, non-repainting momentum strategy that enhances RSI-based systems with trend-confirming logic using Parabolic SAR. By applying SAR logic to RSI values, this strategy offers early, visualized, and filtered entries and exits that adapt to market dynamics.
Credit to ChartPrime for the original methodology, published under MPL-2.0.
Detrended Price Oscillator StrategyTHIS IS THE STRATEGY VERSION
What is DPO?
A detrended price oscillator is an oscillator that strips out price trends in an effort to estimate the length of price cycles from peak to peak or trough to trough. Unlike other oscillators, such as the stochastic or moving average convergence divergence (MACD), the DPO is not a momentum indicator. It highlights peaks and troughs in price, which are used to estimate buy and sell points in line with the historical cycle.
(From Investopedia )
Indicator features:
Responds faster than the original code.
Added alternative smoothing algorithms. Defaults to Ehler's Optimum Elliptic filter instead of the orginal SMA
IPOCS - can start printing out data at day 1 instead of waiting for 14 or 20 bars
Dynamic colors
Auto timeframe detection to adjust period/length
How to use:
Buy above zero
Sell below zero
Who is it for?
Long term investors - this is the perfect indicator for those who buy and hold
CLI : micro variations strategyDisclaimer :
This script is exclusively reserved to business customers.
There's no free trial.
For any request, drop us a private message.
_____________________________________________________________
Hello TV community,
Let us present our internal script strategy :
The core algorithm focuses on micro-variations (μ.var feature) calculations.
It has been developed in order to be timeframe independent : as a consequence, μ.var feature will keep a similar value scale amongst timeframes.
Preventing from any lags, the core algorithm detects any minimal and to be considered trend change (signal feature).
It's definitely a great tool for scalpers due to its core feature (micro-variations focused).
Sincerely,
SECURIX
________________________
Risk Warning : The value of your investments can go down as well as up, so you could get back less than you invested. Past performance is no guarantee of future returns.
Trend SR based strategyIt is a logical continuation of my Trend SR based indicator
Algo of strategy is next
1)Detect SR levels
2)Calculate separate channels for SR made by highs and lows
3)it takes position if the current SR is breaking and close price is not in opposite channel zone
4)It closes position if prise leave current channel zone or as an option (stoploss) if SR is breaking in an opposite direction
-uses //@version=4
-no volume needed for detecting SR breaking and entering a long position
-volume confirmation of SR breaking may be used in the option section
-volume has an option to use smoothing with MA: SMA, AHMA, VIDYA
-volume has option to use volume pump as confirmation of SR breaking (simple dev function)
-stoploss as option
-uses barstate.isconfirmed (returns true if the script is calculating the last (closing) update of the current bar) for entering position on current bar close
-as an option, all or only current SR levels detected by algo can be plotted
-option to plot SR as a channel - as FILTERED whole SR history, in a long or short position it plots only stoploss level and entering opposite position level, in no position it plots long and short entering levels
It works well on 1D
For using on 4h or lower timeframes - Volume confirmation with VIDYA or AHMA may give better results
For better work especially on LTF algo needs better detection of highs and lows, now it uses fractal filter of last bars
Dompeet Pompeet (Breakout bot)Dompeet Pompeet is my first attempt at a viable swingtrading algo.
It uses volatility and some trend analysis to enter trade when the market is about to breakout or break down. Having a trailing stop locks in profits and prevents runaway losses for low drawdown and 2:1 profit factor.
Settings to use:
BTCUSD or XBTUSD
4hr Timeframe or 2hr or 1hr (not shorter)
Bars window: 13, 16 or 20 bars
Moving average settings: 100/10 EMA to confirm trend
Trade the Trend - check on to only take trades long in a confirmed uptrend (vice versa short), otherwise it will attempt to buy and sell counter trend, which increases profits but also increases loss rate.
Trailing stop, values from 2-5% give the best results.
Take with a pinch of salt, there are some bugs in pine script which are difficult to track down but overall I'm pleased with the idea.
Trend tracking strategy of proprietary traders-RabbitThis is my latest strategy integration. It is a combination of trend tracking strategy and visualization trend. I believe it will bring you a clear trend discrimination and relatively reliable trading signal hints.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Statement of strategy concept:
The concept of strategy is trend tracking. The formation and continuation of trend is the product of speculation market for thousands of years. There are various strategies including CTA trend strategy, shock regression strategy, grid strategy, Martin strategy, Alpha strategy and so on. These strategies have their own merits just like different schools of Chinese knight-errant. Choose one, a master is not able to do hundreds of tricks, but to practice one trick thousands of times.
Every strategy has its own right and wrong. Trading is not violence, but a process of advancing, retreating, and making profits steadily. Therefore, the use of trend tracking strategy must overcome greed in human nature, profit and loss homology, dare to bear the shock of withdrawal in order to make a big profit when the real trend arrives. (Of course, this strategy has largely avoided filtering shocks, which will be explained later.)
Policy-building instructions:
Any trend tracking strategy can produce good results when there is a trend, so judging whether a trend strategy is good or bad depends on its withdrawal performance when it is shaking. This CTA trend tracking strategy uses Kauffman adaptive algorithm, fractal adaptive dimension, self-research algorithm and other tools, and has largely avoided filtering the signal in the shock without delay to follow the trend.
New version of the note:
The latest version adds the trend drawing of negativity, which can clearly distinguish the rising or falling or oscillating trend. However, the algorithm of strategy signal has no direct relationship with trend color. Trend color helps you to distinguish trend, and point signal helps you to refer to trade. This strategy is only a simple trading signal, risk control, warehouse management also need manual operation.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Good luck to all of you and a smooth deal.~
Trend tracking strategy of proprietary traders-RabbitThis is my latest strategy integration. It is a combination of trend tracking strategy and visualization trend. I believe it will bring you a clear trend discrimination and relatively reliable trading signal hints.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Statement of strategy concept:
The concept of strategy is trend tracking. The formation and continuation of trend is the product of speculation market for thousands of years. There are various strategies including CTA trend strategy, shock regression strategy, grid strategy, Martin strategy, Alpha strategy and so on. These strategies have their own merits just like different schools of Chinese knight-errant. Choose one, a master is not able to do hundreds of tricks, but to practice one trick thousands of times.
Every strategy has its own right and wrong. Trading is not violence, but a process of advancing, retreating, and making profits steadily. Therefore, the use of trend tracking strategy must overcome greed in human nature, profit and loss homology, dare to bear the shock of withdrawal in order to make a big profit when the real trend arrives. (Of course, this strategy has largely avoided filtering shocks, which will be explained later.)
Policy-building instructions:
Any trend tracking strategy can produce good results when there is a trend, so judging whether a trend strategy is good or bad depends on its withdrawal performance when it is shaking. This CTA trend tracking strategy uses Kauffman adaptive algorithm, fractal adaptive dimension, self-research algorithm and other tools, and has largely avoided filtering the signal in the shock without delay to follow the trend.
Additional notes for the new version:
The latest integrated version has increased the visualization of trends. It can clearly distinguish the trend of ups and downs or consolidation shocks based on chart color. However, trading signals are not calculated according to color changes, but the visualization helps you identify trends and signals help you to refer to sales.
This is only a simple trading signal strategy, and the other warehouse management and risk control need manual completion operation.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Good luck to all of you and a smooth deal.~
Readjusting Alpha (RA-1)The basis for this algorithm is an EMA 50/200 crossover protocol with one significant difference: it readjusts (or "learns") whether the original EMA crossover strategy is profitable based on its past performance and flips the conditions accordingly. The result is improved performance on relatively all timeframes in all statistical categories. There are options for long- and short-only trigger conditions. This algorithm is by invite only. If you have any questions about the algorithm, feel free to contact me.
Happy trades,
Sim
Matrix Trend Reverse EngineeringSelling algorithms.
Contact me to code your own indicators or strategy.
CMA Technologies Phantom Divergence Engine 1Minute📢 Welcome to the frontier of algorithmic precision.
🔹 **CMA – Phantom Divergence Engine** is a specialized trading system developed under the CMA Technologies framework — a quantitative infrastructure engineered over thousands of iterations, data trials, and real-time stress environments.
This engine is one of many internal systems that form the foundation of our autonomous trading architecture — a structure that prioritizes real-world applicability over theoretical perfection.
---
💼 **What makes this system different?**
We don’t reveal the logic.
We don’t publish blueprints.
Because the edge lies not in the tool, but in how deeply it's been tested — across volatility clusters, outlier events, and structurally fragmented market phases.
While most systems collapse under real-time uncertainty, **Phantom Divergence Engine** is built to absorb it — with dynamic capital control, conditional volatility adaptation, and non-indicator signal integrity.
This isn’t a script you optimize.
This is a structure you deploy.
---
🚫 No overfitting.
🚫 No repaints.
🚫 No curve-fitted illusions.
Just a hardened core logic designed to work where most fail: **in the noise**.
---
💡 **Who are we?**
We’re **CMA Technologies**, a collective of engineers, data scientists, and quants building autonomous systems that don’t guess — they execute.
Our approach is based on simulation-driven design, not hopes and indicators.
This video is a glimpse into one of our smaller, time-sensitive subsystems — operating under real conditions on the 1-minute chart.
We don’t share strategies.
We prove capability.
---
📩 **Want to collaborate or access?**
We’re building a closed global network of system traders and researchers.
🌐 Website: ** (www.cmatech.co)**
📧 Email: **info@cmatech.co**
🔒 Private access available upon request.
#CMA #quant #tradingbot #autonomous #nonrepaint #nondisclosure #phantomengine #1minchart #executionfirst #tradingviewquant
Smart Fib StrategySmart Fibonacci Strategy
This advanced trading strategy combines the power of adaptive SMA entries with Fibonacci-based exit levels to create a comprehensive trend-following system that self-optimizes based on historical market conditions. Credit goes to Julien_Eche who created the "Best SMA Finder" which received an Editors Pick award.
Strategy Overview
The Smart Fibonacci Strategy employs a two-pronged approach to trading:
1. Intelligent Entries: Uses a self-optimizing SMA (Simple Moving Average) to identify optimal entry points. The system automatically tests multiple SMA lengths against historical data to determine which period provides the most robust trading signals.
2. Fibonacci-Based Exits: Implements ATR-adjusted Fibonacci bands to establish precise exit targets, with risk-management options ranging from conservative to aggressive.
This dual methodology creates a balanced system that adapts to changing market conditions while providing clear visual reference points for trade management.
Key Features
- **Self-Optimizing Entries**: Automatically calculates the most profitable SMA length based on historical performance
- **Adjustable Risk Parameters**: Choose between low-risk and high-risk exit targets
- **Directional Flexibility**: Trade long-only, short-only, or both directions
- **Visualization Tools**: Customizable display of entry lines and exit bands
- **Performance Statistics**: Comprehensive stats table showing key metrics
- **Smoothing Option**: Reduces noise in the Fibonacci bands for cleaner signals
Trading Rules
Entry Signals
- **Long Entry**: When price crosses above the blue center line (optimal SMA)
- **Short Entry**: When price crosses below the blue center line (optimal SMA)
### Exit Levels
- **Low Risk Option**: Exit at the first Fibonacci band (1.618 * ATR)
- **High Risk Option**: Exit at the second Fibonacci band (2.618 * ATR)
Strategy Parameters
Display Settings
- Toggle visibility of the stats table and indicator components
Strategy Settings
- Select trading direction (long, short, or both)
- Choose exit method (low risk or high risk)
- Set minimum trades threshold for SMA optimization
SMA Settings
- Option to use auto-optimized or fixed-length SMA
- Customize SMA length when using fixed option
Fibonacci Settings
- Adjust ATR period and SMA basis for Fibonacci bands
- Enable/disable smoothing function
- Customize Fibonacci ratio multipliers
Appearance Settings
- Modify colors, line widths, and transparency
Optimization Methodology
The strategy employs a sophisticated optimization algorithm that:
1. Tests multiple SMA lengths against historical data
2. Evaluates performance based on trade count, profit factor, and win rate
3. Calculates a "robustness score" that balances profitability with statistical significance
4. Selects the SMA length with the highest robustness score
This ensures that the strategy's entry signals are continuously adapting to the most effective parameters for current market conditions.
Risk Management
Position sizing is fixed at $2,000 per trade, allowing for consistent exposure across all trading setups. The Fibonacci-based exit system provides two distinct risk management approaches:
- **Conservative Approach**: Using the first Fibonacci band for exits produces more frequent but smaller wins
- **Aggressive Approach**: Using the second Fibonacci band allows for larger potential gains at the cost of increased volatility
Ideal Usage
This strategy is best suited for:
- Trending markets with clear directional moves
- Timeframes from 4H to Daily for most balanced results
- Instruments with moderate volatility (stocks, forex, commodities)
Traders can further enhance performance by combining this strategy with broader market analysis to confirm the prevailing trend direction.
AlgoFlex S&P 500 Master**AlgoFlex S\&P 15 Min HA Signals**
**Description**
Capture intraday trends on the S\&P 500 using Heikin Ashi candles on the 15-minute chart. AlgoFlex S&P 500 filters out noise and delivers precise buy/sell signals with dynamic take-profit and stop-loss levels—perfect for spotting high-probability entries in a fast market.
**Key Features**
* **Heikin Ashi Trend Filter:** Smooths volatility for clearer signals
* **Real-Time Alerts:** Instant buy/sell notifications when conditions are met
**How to Use**
1. **Apply to S\&P 500 Chart**
2. Set chart type to **Heikin Ashi** and timeframe to **15 minutes**
3. **Enable Alerts:**
* Click the **Alerts** (⏰) icon
* Select an AlgoFlex S\&P condition (Buy or Sell)
* Choose “Once Per Bar Close” and **Create**
**Disclaimer**
Signals are **recommendations only**. Trading carries risk and you’re responsible for all decisions and outcomes.
---
🔒 **Invite-Only Access**
This strategy is available by subscription only. To unlock:
1. Download **AlgoFlex AlgoTrading market** on the App Store or Google Play
2. Subscribe to the S\&P 500 script and our full suite of Forex, Indices & Commodities indicators
3. Get in-app support & regular updates
Elevate your S\&P trading—subscribe to AlgoFlex today!
NeuroFlow Pro Strategy### Detailed Description: NeuroFlow Pro Strategy
The **NeuroFlow Pro Strategy** is a sophisticated, professional-grade trading system designed for the TradingView platform, crafted to empower traders with high-probability buy and sell signals across various markets, including cryptocurrencies, forex, and stocks. Developed by KoKalito under the MPL-2.0 license, this strategy integrates a diverse set of technical indicators into a unified framework, delivering a **Composite Score** (0–100) that distills complex market dynamics into a single, actionable metric. By blending trend-following, momentum, volatility, volume, and multi-timeframe (MTF) analysis. Without revealing proprietary details, the system leverages a carefully curated mix of classic and advanced techniques, enhanced by dynamic adjustments and robust confirmation mechanisms to filter out noise and focus on high-confidence trades.
**Core Features**:
- **Composite Score**: A normalized score aggregating signals from multiple indicators, where low scores (<30) suggest bullish opportunities and high scores (>70) indicate bearish conditions.
- **Intelligent Signal Generation**: Combines trend, momentum, and pattern-based signals with MTF confirmation, volume divergence, and price action validation to ensure precision.
- **Golden/Death Cross Detection**: Identifies major trend shifts with visual markers (🚀 for bullish EMA 50 crossing above EMA 200, 💀 for bearish crossing below).
- **Dynamic Adaptability**: Adjusts signal parameters based on market conditions (e.g., trending, ranging, volatile) to optimize performance.
- **Comprehensive Dashboard**: Provides real-time insights into market metrics, signal status, and confidence levels, customizable for user preferences.
- **Automated Trading**: Executes trades with precise position sizing, stop-loss, take-profit, and trailing stop logic, incorporating volatility-adjusted risk management.
- **Alert System**: Supports customizable alerts for key events (e.g., signals, crossovers, divergences), enabling timely notifications via TradingView.
The strategy is designed for versatility, performing well on various timeframes (e.g., 1H, 4H, daily) and assets, with a focus on reducing false positives through layered confirmation and adaptive filtering. Its secret sauce lies in the proprietary weighting and confirmation algorithms, which we’ll keep under wraps to maintain its edge. 😉
### User Guide: NeuroFlow Pro Strategy
#### 1. Installation
1. **Access TradingView**:
- Log into your TradingView account (web or app).
2. **Open Pine Editor**:
- Click the “Pine Editor” tab at the bottom of the TradingView interface.
3. **Add the Strategy**:
- Copy the **NeuroFlow Pro Strategy** script (ensure you have the latest version from KoKalito).
- Paste it into the Pine Editor.
- Save with a name like “NeuroFlow Pro Strategy.”
- Click “Add to Chart” to apply it to your active chart (e.g., BTC/USD, ETH/USDT).
4. **Verify Setup**:
- Confirm the strategy’s name appears in the chart’s indicator list (top-left).
- Check for the dashboard (default: right side), EMA plots (white for EMA 50, blue for EMA 200), and strategy metrics in the Strategy Tester tab.
#### 2. Understanding the Strategy
- **Dashboard**:
- Located on the chart (configurable to left or right), it displays real-time metrics:
- **Comp Score**: Composite Score (0–100); <30 is bullish, >70 is bearish, with confidence percentage.
- **Trend**: Bullish, Bearish, or Neutral based on moving averages, SuperTrend, and other trend indicators.
- **MTF Trend**: Trend from a higher timeframe (e.g., 60m, 240m).
- **Momentum**: Bullish, Bearish, or Neutral based on momentum indicators.
- **MFI**: Money Flow Index (Inflow, Outflow, Neutral) for capital flow.
- **Volatility**: High or Low based on market volatility.
- **Volume**: High, Low, or Neutral, colored green for buying pressure, red for selling.
- **Ichimoku**: Bullish, Bearish, or Neutral based on Ichimoku Cloud.
- **ADX Strength**: Strong or Weak trend strength.
- **Divergence**: Bullish, Bearish, or Neutral for price-indicator divergences.
- **Reversal**: Bullish or Bearish reversal potential with confidence percentage.
- **Signal Status**: Long (buy), Short (sell), or None.
- **Signal Confidence**: Confidence percentage for active signals.
- **Entry Price, Stop Level, Take-Profit, Position Size**: Trade-specific metrics for active positions.
- **Win Rates and Profits**: Long/Short win rates, profits, and total performance.
- **Chart Visuals**:
- **EMA 50 (White)**: Tracks short-term trends.
- **EMA 200 (Blue)**: Monitors long-term trends.
- **Golden Cross (🚀)**: Green rocket emoji for bullish EMA 50 crossing above EMA 200.
- **Death Cross (💀)**: Red skull emoji for bearish EMA 50 crossing below EMA 200.
- **Trading Logic**:
- Automatically enters long/short positions based on signals, with dynamic stop-loss, take-profit, and trailing stops.
- Uses volatility-adjusted position sizing to manage risk (configurable via inputs).
- **Alerts**:
- Configurable for buy/sell signals, Golden/Death Cross, divergences, and trade events (e.g., entry, exit).
#### 3. Configuring Settings
1. **Open Settings**:
- Right-click the strategy’s name on the chart and select “Settings,” or double-click it in the indicator list.
2. **Key Settings to Customize**:
- **Strategy Settings**:
- **Take-Profit Ratio (R:R)**: Choose risk-reward ratio (e.g., 2:1, default: 2:1).
- **Risk % per Trade**: Set equity risk per trade (default: 5%).
- **Max ATR Multiplier**: Cap volatility-based position sizing (default: 3.0).
- **Main Settings**:
- **Candlestick Pattern**: Select Hammer, Engulfing, Morning Star, or Custom (default: Hammer).
- **Multi-Timeframe Period**: Higher timeframe for trend analysis (e.g., 60m, default: 60m).
- **Higher Timeframe**: Secondary timeframe (e.g., 240m, default: 240m).
- **Cooldown Bars Preset**: Auto or preset (e.g., 1H: 3 bars, default: Auto).
- **Filters**: Enable/disable patterns, volume, ADX, or support/resistance filters (defaults: patterns off, volume/ADX on).
- **Trading Session**: Restrict trades to specific hours (default: off, 0800-1600 UTC).
- **Momentum Settings**:
- Adjust periods for RSI, Stochastic RSI, MFI, EMAs, ATR, ADX (defaults: RSI 14, EMAs 50/100/200, ATR/ADX 14).
- **Other Indicator Settings**:
- Configure SuperTrend (10/3.0), Bollinger Bands (20/2.0), Ichimoku (9/26/52), MACD (Auto preset).
- **Weights Settings**:
- Prioritize indicators (e.g., Trend 1.0, Momentum 0.3) for the Composite Score.
- **Threshold Settings**:
- Set bullish/bearish reversal thresholds (30/70), ADX threshold (20), signal thresholds (70/80).
- **Dashboard Settings**:
- Position (Left/Right, default: Right).
- Enable/disable metrics (all enabled by default except Volatility, Volume MA).
3. **Save Changes**:
- Click “OK” to apply. The dashboard, signals, and trades update instantly.
#### 4. Using the Strategy
1. **Interpreting Signals**:
- **Buy Signal (Long)**: Triggers when Composite Score is low (<30), with multiple confirmations (e.g., trend, momentum, MTF alignment). Shown as “Long” in Signal Status with confidence percentage.
- **Sell Signal (Short)**: Triggers when Composite Score is high (>70), with confirmations. Shown as “Short.”
- **Golden Cross (🚀)**: Signals a bullish trend shift (EMA 50 > EMA 200). Confirm with Composite Score and Signal Status.
- **Death Cross (💀)**: Signals a bearish trend shift (EMA 50 < EMA 200). Verify with dashboard metrics.
- **Reversal Signals**: Indicates potential reversals (Bullish/Bearish) with confidence percentages.
2. **Monitoring the Dashboard**:
- Use the dashboard for real-time market insights.
- Green (bullish), red (bearish), or gray (neutral) colors highlight conditions.
- Check “Signal Confidence” (>60% is ideal) and trade metrics (e.g., Stop Level, Take-Profit).
3. **Trading**:
- The strategy auto-executes trades based on signals, with dynamic position sizing and risk management.
- Monitor “Position Size,” “Entry Price,” “Stop Level,” and “Take-Profit” in the dashboard.
- Combine signals with external analysis (e.g., support/resistance, news) for added confidence.
4. **Setting Up Alerts**:
- Open the “Alerts” dialog (Alt+A or “Alerts” button).
- Select “NeuroFlow Pro Strategy” and “Any alert() function call” for all alerts (e.g., Long/Short Filled, Golden/Death Cross).
- Configure frequency (“Once Per Bar Close”) and notifications (email, webhook, SMS).
- Create alerts for specific events (e.g., “Golden Cross Detected on BTCUSD (4H)”).
- Test by scrolling to historical events or waiting for live triggers.
#### 5. Best Practices
- **Timeframe Selection**:
- Use 4H or daily for reliable signals, especially for Golden/Death Cross.
- Lower timeframes (e.g., 15m) may increase signals but add noise.
- **Signal Confirmation**:
- Cross-check signals with dashboard metrics (e.g., Trend, ADX, MFI).
- Use Golden/Death Cross as trend filters, not standalone signals.
- **Risk Management**:
- Stick to the default 5% risk per trade or adjust lower (e.g., 2–3%).
- Always review stop-loss and take-profit levels in the dashboard.
- **Backtesting**:
- Use TradingView’s Strategy Tester to evaluate performance (e.g., 6–12 months on BTC/USD).
- Adjust settings (e.g., MACD Preset, Weights) to optimize for your market/timeframe.
- **Market Conditions**:
- Avoid trading in high volatility (dashboard: “Volatility: High”) unless experienced.
- Monitor MTF trends for context (e.g., 60m, 240m alignment).
#### 6. Troubleshooting
- **No Trades**:
- Check if filters (Volume, ADX) are too strict; try disabling them.
- Ensure `mtfTimeframe`/`higherTimeframe` align with your chart (e.g., 60m/240m for 15m).
- **Dashboard Issues**:
- Verify “Dashboard Position” is set (Left/Right).
- Ensure metrics are enabled (e.g., Show Comp Score).
- **Alerts Not Triggering**:
- Confirm “Any alert() function call” is selected in the alert condition.
- Check TradingView’s “Alerts” panel for errors or expired alerts.
- **Crosses Not Visible**:
- Zoom in to see 🚀 (Golden Cross) or 💀 (Death Cross) symbols.
- Ensure EMA lengths (50/200) are distinct.
#### 7. Support
- **Author**: KoKalito (check TradingView profile for updates).
- **Community**: Engage with the TradingView Pine Script community for tips.
- **Documentation**: Refer to TradingView’s Pine Script v5 documentation for customization.
#### 8. Risk Warning
Trading carries significant risks. The **NeuroFlow Pro Strategy** is a tool, not a guarantee of profits. Always conduct your own analysis, use proper risk management, and test thoroughly before live trading.
Happy trading and let’s keep those wins flowing! 😄
Multi-Pair MTF Crypto Strategy (Backtest Version)Multi-Pair MTF Crypto Scanner (Smart Long/Short Indicator)
This advanced TradingView indicator is designed for crypto traders seeking precise, risk-filtered signals across multiple pairs and timeframes. It combines institutional-grade signal logic with customizable risk management and clean visual labeling.
🔍 Core Features:
✅ Multi-Pair & Multi-Timeframe Scanning
Scans assets like BTC, ETH, SOL across timeframes (15m, 1H, 4H)
✅ Buy/Sell Signal Engine
Based on EMA 50/200 crossover, RSI, and volume spikes
✅ Dynamic Risk Management
Calculates Stop Loss (SL), Take Profit (TP), and Risk-Reward Ratio (RRR) using ATR
✅ RRR Filter
Signals only shown if RRR meets your defined minimum (default 1.5)
✅ Confirmation Mode
Optional setting to avoid premature signals by requiring bar-close confirmation
✅ Visual Trade Zones
Entry, SL, and TP levels plotted directly on chart
✅ Debug Mode
Shows labels when trades are rejected due to RRR filters
🧠 Ideal For:
Crypto scalpers, swing traders, and algorithmic signal testers
Traders focused on high probability entries with defined risk
📣 Alerts:
Real-time alerts for qualified BUY and SHORT signals
Configurable for automated webhook systems or mobile push
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
flydreams143
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Multi-Pair MTF Crypto Strategy (Backtest Version)Multi-Pair MTF Crypto Scanner (Smart Long/Short Indicator)
This advanced TradingView indicator is designed for crypto traders seeking precise, risk-filtered signals across multiple pairs and timeframes. It combines institutional-grade signal logic with customizable risk management and clean visual labeling.
🔍 Core Features:
✅ Multi-Pair & Multi-Timeframe Scanning
Scans assets like BTC, ETH, SOL across timeframes (15m, 1H, 4H)
✅ Buy/Sell Signal Engine
Based on EMA 50/200 crossover, RSI, and volume spikes
✅ Dynamic Risk Management
Calculates Stop Loss (SL), Take Profit (TP), and Risk-Reward Ratio (RRR) using ATR
✅ RRR Filter
Signals only shown if RRR meets your defined minimum (default 1.5)
✅ Confirmation Mode
Optional setting to avoid premature signals by requiring bar-close confirmation
✅ Visual Trade Zones
Entry, SL, and TP levels plotted directly on chart
✅ Debug Mode
Shows labels when trades are rejected due to RRR filters
🧠 Ideal For:
Crypto scalpers, swing traders, and algorithmic signal testers
Traders focused on high probability entries with defined risk
📣 Alerts:
Real-time alerts for qualified BUY and SHORT signals
Configurable for automated webhook systems or mobile push
Multi-Pair MTF Crypto Strategy (Backtest Version)Multi-Pair MTF Crypto Scanner (Smart Long/Short Indicator)
This advanced TradingView indicator is designed for crypto traders seeking precise, risk-filtered signals across multiple pairs and timeframes. It combines institutional-grade signal logic with customizable risk management and clean visual labeling.
🔍 Core Features:
✅ Multi-Pair & Multi-Timeframe Scanning
Scans assets like BTC, ETH, SOL across timeframes (15m, 1H, 4H)
✅ Buy/Sell Signal Engine
Based on EMA 50/200 crossover, RSI, and volume spikes
✅ Dynamic Risk Management
Calculates Stop Loss (SL), Take Profit (TP), and Risk-Reward Ratio (RRR) using ATR
✅ RRR Filter
Signals only shown if RRR meets your defined minimum (default 1.5)
✅ Confirmation Mode
Optional setting to avoid premature signals by requiring bar-close confirmation
✅ Visual Trade Zones
Entry, SL, and TP levels plotted directly on chart
✅ Debug Mode
Shows labels when trades are rejected due to RRR filters
🧠 Ideal For:
Crypto scalpers, swing traders, and algorithmic signal testers
Traders focused on high probability entries with defined risk
📣 Alerts:
Real-time alerts for qualified BUY and SHORT signals
Configurable for automated webhook systems or mobile push
Multi-Pair MTF Crypto Strategy (Backtest Version)Multi-Pair MTF Crypto Scanner (Smart Long/Short Indicator)
This advanced TradingView indicator is designed for crypto traders seeking precise, risk-filtered signals across multiple pairs and timeframes. It combines institutional-grade signal logic with customizable risk management and clean visual labeling.
🔍 Core Features:
✅ Multi-Pair & Multi-Timeframe Scanning
Scans assets like BTC, ETH, SOL across timeframes (15m, 1H, 4H)
✅ Buy/Sell Signal Engine
Based on EMA 50/200 crossover, RSI, and volume spikes
✅ Dynamic Risk Management
Calculates Stop Loss (SL), Take Profit (TP), and Risk-Reward Ratio (RRR) using ATR
✅ RRR Filter
Signals only shown if RRR meets your defined minimum (default 1.5)
✅ Confirmation Mode
Optional setting to avoid premature signals by requiring bar-close confirmation
✅ Visual Trade Zones
Entry, SL, and TP levels plotted directly on chart
✅ Debug Mode
Shows labels when trades are rejected due to RRR filters
🧠 Ideal For:
Crypto scalpers, swing traders, and algorithmic signal testers
Traders focused on high probability entries with defined risk
📣 Alerts:
Real-time alerts for qualified BUY and SHORT signals
Configurable for automated webhook systems or mobile push
The VoVix Experiment The VoVix Experiment
The VoVix Experiment is a next-generation, regime-aware, volatility-adaptive trading strategy for futures, indices, and more. It combines a proprietary VoVix (volatility-of-volatility) anomaly detector with price structure clustering and critical point logic, only trading when multiple independent signals align. The system is designed for robustness, transparency, and real-world execution.
Logic:
VoVix Regime Engine: Detects pre-move volatility anomalies using a fast/slow ATR ratio, normalized by Z-score. Only trades when a true regime spike is detected, not just random volatility.
Cluster & Critical Point Filters: Price structure and volatility clustering must confirm the VoVix signal, reducing false positives and whipsaws.
Adaptive Sizing: Position size scales up for “super-spikes” and down for normal events, always within user-defined min/max.
Session Control: Trades only during user-defined hours and days, avoiding illiquid or high-risk periods.
Visuals: Aurora Flux Bands (From another Original of Mine (Options Flux Flow): glow and change color on signals, with a live dashboard, regime heatmap, and VoVix progression bar for instant insight.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 15 min (but works on all timeframes)
Order size: Adaptive, 1–2 contracts
Session: 5:00–15:00 America/Chicago (default, fully adjustable)
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for MNQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Forward Testing: (This is no guarantee. I've provided these results to show that executions perform as intended. Test were done on Tradovate)
ALL TRADES
Gross P/L: $12,907.50
# of Trades: 64
# of Contracts: 186
Avg. Trade Time: 1h 55min 52sec
Longest Trade Time: 55h 46min 53sec
% Profitable Trades: 59.38%
Expectancy: $201.68
Trade Fees & Comm.: $(330.95)
Total P/L: $12,576.55
Winning Trades: 59.38%
Breakeven Trades: 3.12%
Losing Trades: 37.50%
Link: www.dropbox.com
Inputs & Tooltips
VoVix Regime Execution: Enable/disable the core VoVix anomaly detector.
Volatility Clustering: Require price/volatility clusters to confirm VoVix signals.
Critical Point Detector: Require price to be at a statistically significant distance from the mean (regime break).
VoVix Fast ATR Length: Short ATR for fast volatility detection (lower = more sensitive).
VoVix Slow ATR Length: Long ATR for baseline regime (higher = more stable).
VoVix Z-Score Window: Lookback for Z-score normalization (higher = smoother, lower = more reactive).
VoVix Entry Z-Score: Minimum Z-score for a VoVix spike to trigger a trade.
VoVix Exit Z-Score: Z-score below which the regime is considered decayed (exit).
VoVix Local Max Window: Bars to check for local maximum in VoVix (higher = stricter).
VoVix Super-Spike Z-Score: Z-score for “super” regime events (scales up position size).
Min/Max Contracts: Adaptive position sizing range.
Session Start/End Hour: Only trade between these hours (exchange time).
Allow Weekend Trading: Enable/disable trading on weekends.
Session Timezone: Timezone for session filter (e.g., America/Chicago for CME).
Show Trade Labels: Show/hide entry/exit labels on chart.
Flux Glow Opacity: Opacity of Aurora Flux Bands (0–100).
Flux Band EMA Length: EMA period for band center.
Flux Band ATR Multiplier: Width of bands (higher = wider).
Compliance & Transparency
* No hidden logic, no repainting, no pyramiding.
* All signals, sizing, and exits are fully explained and visible.
* Backtest settings are stricter than most real accounts.
* All visuals are directly tied to the strategy logic.
* This is not a mashup or cosmetic overlay; every component is original and justified.
Disclaimer
Trading is risky. This script is for educational and research purposes only. Do not trade with money you cannot afford to lose. Past performance is not indicative of future results. Always test in simulation before live trading.
Proprietary Logic & Originality Statement
This script, “The VoVix Experiment,” is the result of original research and development. All core logic, algorithms, and visualizations—including the VoVix regime detection engine, adaptive execution, volatility/divergence bands, and dashboard—are proprietary and unique to this project.
1. VoVix Regime Logic
The concept of “volatility of volatility” (VoVix) is an original quant idea, not a standard indicator. The implementation here (fast/slow ATR ratio, Z-score normalization, local max logic, super-spike scaling) is custom and not found in public TradingView scripts.
2. Cluster & Critical Point Logic
Volatility clustering and “critical point” detection (using price distance from a rolling mean and standard deviation) are general quant concepts, but the way they are combined and filtered here is unique to this script. The specific logic for “clustered chop” and “critical point” is not a copy of any public indicator.
3. Adaptive Sizing
The adaptive sizing logic (scaling contracts based on regime strength) is custom and not a standard TradingView feature or public script.
4. Time Block/Session Control
The session filter is a common feature in many strategies, but the implementation here (with timezone and weekend control) is written from scratch.
5. Aurora Flux Bands (From another Original of Mine (Options Flux Flow)
The “glowing” bands are inspired by the idea of volatility bands (like Bollinger Bands or Keltner Channels), but the visual effect, color logic, and integration with regime signals are original to this script.
6. Dashboard, Watermark, and Metrics
The dashboard, real-time Sharpe/Sortino, and VoVix progression bar are all custom code, not copied from any public script.
What is “standard” or “common quant practice”?
Using ATR, EMA, and Z-score are standard quant tools, but the way they are combined, filtered, and visualized here is unique. The structure and logic of this script are original and not a mashup of public code.
This script is 100% original work. All logic, visuals, and execution are custom-coded for this project. No code or logic is directly copied from any public or private script.
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power
Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time.
What Makes This Unique
GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto.
True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation.
Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals.
Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity.
Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading.
No hidden DCA or pyramiding—what you see is what you trade.
Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable.
📊 Inputs and What They Mean (Read Carefully)
Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this.
RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals.
⚡ Regime & Momentum Gates
Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop.
🕒 Volatility & Session
ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time.
Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills.
📊 Sizing & Risk
Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. ATR will effect losses in high volatility times.
🔄 Exits & Scaling
Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode.
Visuals That Actually Matter
Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”).
Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge.
*No cosmetics, no hidden code distractions.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Why It Wins
While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive:
- Context-aware signals, not just patterns
- Tight, transparent risk
- Inputs that adapt, not confuse
- Visuals that clarify, not distract
- Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box)
Disclaimer (for TradingView compliance):
Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades.
This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private.
Use with discipline, use with clarity, and always trade smarter.
— Dskyz , powered by DAFE Trading Systems.
Crypto Zilla Strategy 0.61Crypto Zilla Strategy 0.61 - Advanced Indicator Testing Framework
How often do you see an indicator that looks great at first glance, but you don't know if it will actually benefit you and be profitable? Now you have a way to test it.
Turn Any Indicator into a Profitable Trading System
Crypto Zilla Strategy is an advanced trading system designed to test and apply any indicators in live trading. Whether you're using popular third-party indicators or your own custom developments, this strategy enables you to quickly evaluate their effectiveness and convert signals into actionable trades.
Key Features:
✅ Universal Compatibility: Works with any indicator through three independent signal sources
✅ Bidirectional Reversal Trading: Supports both long and short positions
✅ Advanced Risk Management: Customizable Take Profit levels (up to 5 levels) and Stop Loss
✅ Signal Confirmation System: Improves accuracy and reduces false signals
✅ Cornix Integration: Optimized text alerts for automated trading via Cornix
✅ Webhook Trading: Enables direct automated trading through webhook connections to your exchange
✅ Professional Text Alerts: Detailed notifications including leverage, position size, and target levels
Designed For:
• Traders testing the effectiveness of their favorite indicators
• Strategy developers seeking a flexible trading system foundation
• Cryptocurrency investors aiming to automate trading
• Those improving market entry and exit accuracy
Convert your favorite indicators into a comprehensive trading system without writing complex code. CryptoZilla Strategy simplifies the process.
Disclaimer: THIS STRATEGY SCRIPT DOES NOT INCLUDE ANY INDICATORS! All indicators shown in example screenshots are third-party products, not owned or distributed by the author of this code.
This strategy is designed for educational purposes. Always perform thorough backtesting before applying it to live trading.
Ready to unlock the premium version of this strategy for your trading? Contact the developer on Telegram at @CyberBobCryptoAdmin to get started!
