Currency Pros SMC (Latest BOS & Liquidity Sweep, Custom Fibo)smc erion fibonacci strategy this indicator is for the siplest smc strategy draws liquidity and break ofn structure fractals and fvg anf fibonacci levels.
Fundamental Analysis
Levels & Flow📌 Overview
Levels & Flow is a visual trading tool that combines daily pivot levels with a dynamic EMA ribbon to help traders identify structure, momentum, and key decision zones in the market.
This script is designed for discretionary traders who rely on clean visual cues for intraday and swing trading strategies.
⚙️ Key Features
Daily Pivot, Support, and Resistance Lines
Automatically plots the daily pivot level based on the previous day’s OHLC data, along with calculated support and resistance levels.
Fibonacci Retracement Levels
Two dashed lines above and below the pivot represent the retracement of the pivot-resistance and pivot-support range, forming the boundaries of the “no-trade zone.”
No-Trade Zone (Shaded Box)
A gray shaded box between the two Fibonacci levels to visually mark a high-chop/low-conviction zone.
Trend-Based Candle Coloring (Current Day Only)
Candles are colored green if the close is above the pivot, red if below (only on the current trading day).
Bullish/Bearish Trend Label
A small table in the bottom-right corner displays “Bullish” or “Bearish” depending on whether price is above or below the pivot.
20-EMA Gradient Ribbon
A stack of 20 EMAs, each smoothed and color-coded from blue to green to reflect short- to long-term trend alignment.
Cumulative EMA with Adaptive Weighting
An intelligent moving average line that adjusts weight distribution among the 20 EMAs based on recent predictive accuracy using a learning rate and lookback period.
🧠 How It Works
📍 Levels
The script calculates daily pivot, resistance, and support levels using standard formulas:
Pivot = (High + Low + Close) / 3
Resistance = (2 × Pivot) – Low
Support = (2 × Pivot) – High
These levels update each day and extend 143 bars to the right.
📏 Fib Lines
Fib Up = Pivot + (Resistance – Pivot) × 0.382
Fib Down = Pivot – (Pivot – Support) × 0.382
These lines form the “no-trade zone” box.
📈 EMA Ribbon
20 EMAs starting from the user-defined Base Length, each incremented by 1
Each EMA is smoothed using the Smoothing Period
Color-coded from blue to green for intuitive visual flow
Filled between EMAs to visualize trend strength and alignment
🧠 Cumulative EMA Learning
Each EMA’s historical error is calculated over a Lookback Period
Lower-error EMAs receive higher weight; weights are normalized to sum to 1
The result is a cumulative EMA that adapts based on historical predictive power
🔧 User Inputs
Input
Base EMA Length: Sets the period for the shortest EMA (default: 20)
Smoothing Period: Smooths all EMAs and the cumulative EMA
Lookback for Learning: Number of bars to evaluate EMA prediction accuracy
Learning Rate: Adjusts how quickly weights shift in favor of more accurate EMAs
✅ How to Use It
Use the pivot level to define directional bias.
Watch for price breakouts above resistance or breakdowns below support to consider entry.
Avoid trading inside the shaded zone, where direction is less reliable.
Use the EMA ribbon gradient to confirm short/long alignment.
The cumulative EMA helps define trend with noise reduction.
🧪 Best For
Intraday traders who want to blend structure with flow
Swing traders needing clean daily levels with dynamic confirmation
Anyone looking to avoid choppy zones and improve visual clarity
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Always test scripts in simulation or on demo accounts before live use. Use at your own risk.
CANX Candle I.D© CanxStixTrader
CANX Candle Identification tool
Fully customizable indicator for candle identification.
17 Different Candlestick Formations
The default script has:
Doji
Evening Star
Morning Star
Shooting Star
Hammer
Inverted Hammer
Bearish Harami
Bullish Harami
Bearish Engulfing
Bullish Engulfing
Piercing Line
Bullish Belt
Bullish Kicker
Bearish Kicker
Hanging man
Dark Cloud Cover
Keep it simple
© CanxStixTrader
SH Vertical LinesSH Vertical Lines for specific of the day which is 2am, 6am, 10am, 2pm, 6pm, and 10pm
Breakout Scanner (VWAP+Volume+RSI)If the price is above the VWAP, there is an increase in volume and the RSI is > 60, it gives a breakout signal. Most Effective for Breakout
Phoenix AI StrategyUsing Phoenix AI Strategy allows you to fine tune the setting for the Phoenix AI indicator. You can change the settings to see what the outcome would be over a trading range.
You can gage:
Total P&L
Max Equity Drawdown
Total Number of Trades
Profitable Trades
Profit Factor
The Phoenix AI Strategy is a complex trading algorithm that combines multiple technical indicators and adaptive elements to generate buy and sell signals. At its core, the strategy uses a combination of volatility, trend, and momentum indicators to identify potential trading opportunities.
The strategy starts by calculating the current volatility of the market using the Average True Range (ATR) indicator. This value is then compared to the historical volatility to determine the volatility ratio. The volatility ratio is used to adjust the dynamic RSI parameters, which are used to identify overbought and oversold conditions in the market.
The strategy also uses a moving average channel to identify the trend direction and potential support and resistance levels. The channel is calculated using the Exponential Moving Average (EMA) of the high and low prices over a specified period.
In addition to the moving average channel, the strategy uses the Ichimoku cloud to gauge the trend strength and potential reversals. The Ichimoku cloud is a comprehensive trend trading system that uses multiple indicators to identify the trend direction and potential support and resistance levels.
The strategy also incorporates a neural network algorithm to generate buy and sell signals. The neural network uses a combination of momentum, trend, and volatility indicators to generate a signal. The signal is then compared to a dynamic threshold to determine whether a trade should be taken.
The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator. The adaptive strength is a parameter that determines how responsive the indicator is to changes in the market. A higher adaptive strength means that the indicator will be more responsive to changes in the market, while a lower adaptive strength means that the indicator will be less responsive.
The strategy also includes a number of other features, such as a market condition filter and a trading logic system. The market condition filter is used to determine whether the market is stable or volatile, and the trading logic system is used to generate buy and sell signals based on the indicator's calculations.
Overall, the Phoenix AI Strategy is a sophisticated trading algorithm that combines multiple technical indicators and adaptive elements to generate buy and sell signals. Its combination of volatility, trend, and momentum indicators makes it a versatile and effective tool for traders of all levels.
Each part of the strategy ties into other parts to create a comprehensive trading system. The volatility ratio is used to adjust the dynamic RSI parameters, which are then used to identify overbought and oversold conditions in the market. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals.
The neural network algorithm uses a combination of momentum, trend, and volatility indicators to generate a signal, which is then compared to a dynamic threshold to determine whether a trade should be taken. The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator, making it a key component of the strategy's risk management system.
The logic behind the strategy is to use a combination of technical indicators and adaptive algorithms to generate buy and sell signals. The strategy is designed to be flexible and adaptable to different market conditions, and can be customized using a number of input parameters. The strategy's calculations are based on a combination of technical indicators and market data, and are designed to provide a comprehensive view of the market.
Each indicator used in the strategy is doing a specific job. The ATR indicator is used to calculate the volatility of the market, while the RSI indicator is used to identify overbought and oversold conditions. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm is used to generate buy and sell signals based on a combination of momentum, trend, and volatility indicators.
Overall, the Phoenix AI Strategy is a powerful and flexible trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
Ratios -> The NeW SystemRatios → The NeW System
Calculate and visualize three key risk-adjusted performance metrics—Sharpe, Sortino and Omega—on a single pane, each with its own dynamic color coding.
What are these Ratios? 🤔
This indicator brings together:
Sharpe Ratio: measures average return per unit of overall volatility.
Sortino Ratio: measures average return per unit of downside volatility only.
Omega Ratio: compares total gains above your target to total shortfalls below it.
By plotting all three, you get a complete view of how your asset performs relative to different definitions of risk and reward.
Inputs ⚙️
Source 📊
The price series you want to analyze (e.g. close price).
Calculation Period 📆
How many bars or days to include in each rolling calculation (common for all three ratios).
Smoothing Period (EMA) 🔄
The length of the exponential moving average applied to each raw ratio, to reduce noise.
Sharpe Settings
Annual Risk-Free Rate (%) 💰
The baseline return per year you subtract before dividing by total volatility.
Strong & Weak Thresholds 🟢🔴
Levels at which the Sharpe line turns green (strong) or red (weak).
Sortino Settings
Annual Risk-Free Rate (%) 💸
The same baseline, but only returns below this rate count toward downside risk.
Strong & Weak Thresholds 🔵🟡
Levels at which the Sortino line turns blue (strong) or yellow (weak).
Omega Settings
Annual Target Return (%) 🎯
Your minimum acceptable return per year, converted internally per bar.
Strong & Weak Thresholds 🟠🟣
Levels at which the Omega line turns orange (strong) or purple (weak).
How It Works 🧮
Shared Step: Compute periodic returns
For each bar, calculate the percent change in price.
Sharpe Ratio
Subtract the per-bar risk-free rate from the average return.
Divide by the standard deviation of returns.
Annualize by multiplying by √365.
Smooth with EMA.
Sortino Ratio
Subtract per-bar risk-free rate from the average return (same as Sharpe).
Only penalize returns below that rate: square shortfalls, average them, then take the square root.
Divide the return excess by this downside deviation, annualize and smooth.
Omega Ratio
Compare every return to your per-bar target: sum all gains above it and all shortfalls below it.
Divide total gains by total shortfalls (if no shortfall exists, Omega is undefined until next bar).
Smooth with EMA.
Plot & Interpretation 🎨
Dynamic Line Coloring
Sharpe: green when strong, red when weak, gray otherwise.
Sortino: blue when strong, yellow when weak, gray otherwise.
Omega: orange when strong, purple when weak, gray otherwise.
Threshold Lines
Each ratio has its own dashed lines at the strong (upper) and weak (lower) thresholds, matching its color scheme.
Pro Tips 💡
Look for divergences: when one ratio turns strong but another stays weak, it can hint at nuanced risk patterns.
A Sharpe above 1, Sortino above 1, and Omega above 1 are generally signs of healthy risk-adjusted returns.
Tailor your target return (Omega) and risk-free rate (Sharpe/Sortino) to match your strategy’s goals—stricter benchmarks demand better performance.
Use this all-in-one system to quickly gauge not only how much return you’re getting, but how safely and consistently those returns are generated! 🚀
ROC -> The NeW SystemROC → The NeW System 📈
Calculate and visualize the Rate of Change (ROC) momentum indicator with dynamic color coding.
What is the ROC? 🤔
The Rate of Change (ROC) measures the percentage change in price over a specified lookback period. It’s a pure momentum gauge—showing you how fast the price is accelerating or decelerating. A rising ROC signals growing momentum, while a falling ROC warns of slowing price action.
Indicator Inputs ⚙️
ROC Period ⏳
Number of bars (e.g. days) over which to compare the current price with the price N bars ago.
How It Works 🧮
Compute the difference between the current close price and the close price N bars ago.
Divide that difference by the close price N bars ago to get a percentage change.
Plot the resulting series as the ROC line, which oscillates above and below zero.
Plot & Interpretation 🎨
Line Color
🟢 Green when ROC > 0, indicating upward momentum.
🔴 Red when ROC < 0, indicating downward momentum.
Zero Reference Line
A dashed gray line at zero marks the transition between positive and negative momentum.
Reading ROC
Crossing above zero signals a shift into positive momentum—potential buy signal.
Crossing below zero warns of negative momentum—potential sell signal.
Extremes (very high or low ROC values) can indicate overextended moves and upcoming reversals.
Pro Tips 💡
Combine ROC with a moving average to filter false signals—only act on zero-crossings when ROC is above/below its own average.
Use divergence: if price makes a new high but ROC doesn’t, momentum may be weakening.
Shorten the ROC period for a more responsive, but noisier, indicator; lengthen it for smoother, but slower, signals.
Use this ROC system to instantly gauge the strength and speed of price moves, helping you time entries and exits with confidence! 🚀
Delta -> The NeW SystemDelta → The NeW System 🔍
Visualize price and volume shifts with Price Delta, Volume Delta, and Cumulative Volume Delta on one pane.
What is Delta? 🤔
Delta tracks how price and volume change bar-to-bar:
Price Delta shows the net change in your chosen price source over a specified period.
Volume Delta estimates buying vs. selling pressure by assigning the bar’s volume a positive or negative sign based on price movement.
Cumulative Volume Delta (CVD) piles up those signed volume deltas over time, highlighting whether buyers or sellers are dominating the trend.
Indicator Inputs ⚙️
Price Source 🏷️
Choose which price (close, open, high, low, etc.) to use for Price Delta.
Delta Period ⏳
How many bars back to compare for Price Delta (and to determine Volume Delta sign).
Display Options
Show Price Delta? 📈
Show Volume Delta (Bar)? 📊
Show Cumulative Volume Delta? 📥
Debug (Optional)
Reveal raw price change, sign, or volume for troubleshooting.
How It Works 🧮
Price Delta = Current Price – Price N bars ago.
Volume Delta (Bar) = Volume × sign(Price Delta).
If price rose, volume is positive; if price fell, volume is negative.
Cumulative Volume Delta = running sum of each bar’s Volume Delta.
Each series is plotted as either a line or histogram with dynamic colors:
Positive in green/teal hues, negative in red/maroon.
Chart Layout & Interpretation 🎨
Top Pane: Volume Delta 📊
A histogram showing buying (green) vs. selling (red) pressure per bar.
Middle Pane: Price Delta 📈
A line showing price change magnitude—teal when price rose, maroon when it fell.
Bottom Pane: Cumulative Volume Delta (CVD) 📥
A histogram accumulating signed volume—green when CVD is rising or flat, red when falling.
A dashed gray zero line in each pane marks the neutral boundary between positive and negative.
Pro Tips 💡
Watch for CVD divergences: price making new highs while CVD stalls can warn of weakening buying pressure.
Use Volume Delta spikes to confirm breakouts or fade exhaustion moves.
Toggle on debug plots to fine-tune your source and period settings.
Combine Delta with trend or momentum indicators for multi-dimensional trade signals.
With “Delta → The NeW System,” you get a clear, layered view of how price shifts and volume flow interact—helping you spot emerging strength or hidden weakness! 🚀
Trend Filter WMA📊 Trend Filter WMA
This indicator combines the classic Donchian Channel with a Weighted Moving Average (WMA) trend filter to enhance signal accuracy and reduce false entries.
🔧 Key Features:
Donchian Channel: Highlights the highest highs and lowest lows over a user-defined period.
WMA Trend Filter: Filters signals based on whether price is trending above or below the WMA.
Buy/Sell Signals:
Buy when price crosses above the lower channel in an uptrend.
Sell when price crosses below the upper channel in a downtrend.
Dynamic Background Coloring: Visualizes bullish (green) and bearish (red) trend zones.
Customizable Inputs: Toggle between using close or high/low for the channel, and enable or disable signals.
This tool is ideal for traders who want to follow trend-based breakouts with clearer confirmation.
📈 Add to your chart and follow for more filtered trend indicators!
Omega Ratio -> The NeW SystemOmega Ratio → The NeW System 🚀
Calculate and visualize a smoothed Omega Ratio to measure upside vs. downside performance relative to a target return.
What is the Omega Ratio? 🤔
The Omega Ratio compares the total gains above a specified target return to the total losses below that target. Unlike other risk metrics that focus on volatility alone, Omega shows you how much reward you’re getting for every unit of shortfall risk. A higher Omega means your upside outweighs downside more attractively.
Indicator Inputs ⚙️
Source 📊: the price series to calculate returns from (e.g. close price).
Calculation Period 📆: number of bars over which returns are compared to the target. Longer periods smooth out fluctuations; shorter periods react faster to changing market conditions.
Target Return per Period (%) 🎯: the minimum return you aim for each bar (e.g. 0.1% per day).
Smoothing Period (EMA) 🔄: how many periods to apply an exponential moving average to the raw Omega Ratio, reducing noise and highlighting the trend.
Strong Threshold 🟢: above this value the line turns green, signaling strong upside vs. downside performance (default: 1.0).
Weak Threshold 🔴: below this value the line turns red, warning that losses outweigh gains relative to your target (default: 0.5).
How the Indicator Works 🧮
Calculate periodic returns by comparing each bar’s price to the previous bar.
Convert your target percentage into a decimal per period.
Accumulate gains above the target by summing every time the return exceeds the target amount.
Accumulate losses below the target by summing the shortfall whenever the return falls short of that target.
Form the raw Omega Ratio by dividing total gains above target by total losses below target. If there are no losses below the target, Omega is undefined (and we handle that gracefully).
Smooth with EMA to filter out spikes and reveal the underlying strength or weakness of the ratio.
Plot & Interpretation 🎨
Dynamic Line Color
🟢 Green when the smoothed Omega Ratio exceeds the Strong Threshold, indicating your asset is delivering more reward above target than risk below it.
🔴 Red when it falls below the Weak Threshold, warning that downside shortfalls dominate.
⚪ Gray between thresholds, suggesting a balanced but unimpressive performance.
Threshold Lines
A dashed green line marks the Strong Threshold.
A dashed red line marks the Weak Threshold.
Pro Tips 💡
An Omega above 1 means you’re gaining more above your target than losing below it—a positive sign.
An Omega below 1 warns that losses are outweighing gains relative to your goal.
Adjust the Target Return to fit your trading style: a higher target demands more “elite” performance, while a low target (even 0%) shows you pure upside vs. downside balance.
Use this indicator to instantly see whether an asset is consistently beating your expectations or struggling to hold ground—helping you make more informed entry and exit decisions.
Sortino Ratio -> The NeW SystemSortino Ratio → The NeW System 🚀
Calculate and visualize an annualized, smoothed Sortino Ratio that focuses on downside volatility.
What is the Sortino Ratio? 🤔
The Sortino Ratio is a risk-adjusted performance metric like the Sharpe Ratio, but it only penalizes returns below a chosen benchmark (usually the risk-free rate). By isolating “bad” volatility—periods when your returns dip under that minimum—it shows you how well an asset rewards you for downside risk alone. 📉
Indicator Inputs ⚙️
Source 📊: the price series to calculate returns from (e.g. close price).
Calculation Period 📆: the number of days/bars used to compute average returns and downside volatility. Longer periods smooth out noise; shorter periods react faster.
Annual Risk-Free Rate (%) 💰: the minimum acceptable yearly return, converted internally to a per-bar rate. In crypto, you might set this to zero.
Smoothing Period (EMA) 🔄: how many periods to apply an exponential moving average to the raw Sortino Ratio, reducing spikes and making trends clearer.
Strong Threshold 🟢: above this level the line turns green, signaling robust downside-risk-adjusted performance.
Weak Threshold 🔴: below this level the line turns red, warning of underperformance relative to downside risk.
How the Indicator Works 🧮
Compute periodic returns by comparing each bar’s price to the prior bar.
Convert annual risk-free rate to a per-bar rate (divide by 365 for daily bars).
Calculate average return over the chosen period.
Measure downside deviation by squaring only the shortfalls below the risk-free rate, averaging them, and then taking the square root.
Form the raw Sortino Ratio by subtracting the per-bar risk-free rate from the average return, dividing by downside deviation, and annualizing. If downside deviation is zero, it defaults to zero to avoid errors.
Smooth with EMA to filter noise and highlight the underlying trend.
Plot & Interpretation 🎨
Line Color
🟢 Green when the smoothed Sortino Ratio ≥ Strong Threshold (strong downside-risk-adjusted returns).
🔴 Red when ≤ Weak Threshold (weak or negative performance).
⚪ Gray between thresholds (neutral zone).
Threshold Lines
Dashed green line at the Strong Threshold.
Dashed red line at the Weak Threshold.
Pro Tips 💡
A Sortino Ratio around 1 means returns match downside risk on a 1:1 basis—generally acceptable -> Long Term.
Below 0 indicates returns haven’t beaten your minimum acceptable rate.
Above 2 signals excellent downside-risk-adjusted performance—even in volatile markets like crypto, values slightly below 2 can still be strong -> Long Term.
Use this system to spot when an asset’s returns aren’t just high, but safely high—helping you trade with confidence and minimize nasty drawdowns! 🎯
Sharpe Ratio -> The NeW SystemSharpe Ratio → The NeW System 📈
Calculate and visualize an annualized, smoothed Sharpe Ratio based on daily returns.
What is the Sharpe Ratio? 🤔
The Sharpe Ratio measures risk-adjusted return by dividing the average return by its volatility. A higher Sharpe means you’re earning more reward per unit of risk. In crypto, we assume a 0% risk-free rate.
Indicator Inputs ⚙️
Source
The price series to use (default: close).
Sharpe Rolling Period
Number of days for the rolling average and volatility calculation.
Smoothing Period (EMA)
How many periods to smooth the raw Sharpe with an exponential moving average.
Strong Threshold 🔥
Sharpe ≥ this value shows a “strong” signal in green.
Weak Threshold ❄️
Sharpe ≤ this value shows a “weak” signal in red.
How It Works 🧮
Daily Returns – Calculate the percentage change in price from one day to the next.
Rolling Average – Smooth those daily returns over the chosen Sharpe period.
Rolling Volatility – Compute the standard deviation of daily returns over the same period.
Raw Sharpe – Divide the rolling average by the rolling volatility (with zero-volatility guard).
EMA Smoothing – Apply an EMA to the raw Sharpe to reduce noise.
Annualization – Multiply the smoothed daily Sharpe by √365 to get a yearlyized figure.
Plot & Interpretation 🎨
Line Color
🟢 Green when annualized Sharpe ≥ Strong Threshold (strong risk-adjusted performance)
🔴 Red when annualized Sharpe ≤ Weak Threshold (weak or negative performance)
⚪ Gray when between the thresholds (neutral zone)
Threshold Lines
A dashed green line marks the Strong Threshold.
A dashed red line marks the Weak Threshold.
Pro Tips 💡
A Sharpe around 1 is generally acceptable -> Long term.
Below 0 means you’re losing per unit of risk on average.
Above 2 is excellent—although in crypto, slightly lower values can still signal strength -> Long term.
Use this system to spot when an asset’s risk-adjusted returns are heating up (🔥) or cooling off (❄️), so you can time your trades more effectively!
Dot On Plan | Economic Cycle Analysis v2.4This closed-source script applies a structured macroeconomic model to classify economic regimes in real time, using inter-asset ratios and yield spreads. It helps traders and analysts interpret broader market conditions—such as expansion, stagflation, deflation, or supply shocks—through well-established market proxies.
🔍 Core Metrics and Logic
The script tracks the following macro indicators:
- **Copper/Oil Ratio**: A proxy for industrial activity vs. energy costs (Copper futures ÷ Oil futures). A rising ratio signals growth optimism; a falling ratio suggests weakening demand.
- **TIPS Spread (Breakeven Inflation)**: The difference between 10Y Treasury yields and 10Y TIPS yields, reflecting inflation expectations. A high spread indicates inflationary pressure.
- **Gold/Oil Ratio**: Measures market stress (Gold futures ÷ Oil futures). A rising ratio often appears in disinflationary or crisis environments.
- **Copper/Gold Ratio**: A "growth vs. safety" indicator. Rising indicates risk-on confidence; falling suggests risk aversion.
Each ratio is smoothed with a moving average to identify trends, evaluating direction and momentum. Trend strength is assessed using a short-term slope and a statistical threshold to detect persistence.
🧭 Economic Regime Classification
The script combines these metrics to identify 17 distinct economic states, such as:
- Typical Expansion: Indicates strong growth and inflation expectations with low safe-haven demand.
- Stagflation Risk: Reflects cost-push inflation with weak growth and high safe-haven demand.
- Supply Shock Conditions: Signals rising inflation and uncertainty, often due to geopolitical events.
Regime classification is based on the interaction of these metrics and their positioning relative to long-term trends. The specific weighting and logic are proprietary, ensuring a unique approach.
📊 Features
- Live macro regime status table with trend updates and economic implications.
- Visual plots of key ratios and optional moving averages.
- Customizable alerts for key regimes (e.g., stagflation onset, expansion reentry).
- Full customization for MA periods, ratio thresholds, TIPS threshold, and table update frequency.
📈 How to Use
- Apply on daily or weekly charts for stable macro signals (adjustable via "Data Timeframe" input).
- Customize thresholds and MA periods to match your market view.
- Use regime outputs to guide allocation (e.g., cyclical assets in expansion, defensive assets in stagflation).
⚠️ Disclaimer
This script is for informational and educational purposes only and does not constitute financial or investment advice. Past performance is not indicative of future results. Always conduct your own research and consult a qualified financial advisor before trading. The underlying calculation logic is proprietary and not disclosed in full.
CANX Momentum & basic candle patterns© CanxStixTrader
CANX Momentum & basic candle patterns
( Customizable )
An indicator that simply shows you the way the market is trending.
- This will make it very easy to see what direction you should be looking to take trades.
Also included are Basic candle patterns to help identify the correct timing to enter trades.
- Bearish Engulfing Candles
- Bullish Engulfing Candles
- Bullish 3 Candle Strike/CANX
- Bearish 3 Candle Strike/CANX
More candle patterns to follow in future updates
Triple EMA 50,100,200
X = Engulfing candles
3s - Bear & Bull = Potential Reversals
Cloud fill indicates the direction that you should be looking to trade. Red for sells and Green for Buys.
A simple concept that can be very effective if used correctly. Great to pair with fractals and multi time frame trading strategies.
Keep it simple
CANX Multi-Timeframe Trend© CanxStixTrader
CANX Multi Trend Table indicator allows you to monitor the instruments you choose on the timeframes you want without the need to move between them.
Customizable time frames, pairs, colors and size.
1. Different methods of determining trend VIA super trend or EMAs
2. Monitor multiple instruments at the same time
3. Customizable ATR settings
Kenneth EMA Crossover StrategyKenneth EMA Crossover Strategy
The Kenneth EMA Crossover Strategy is a minimalist yet powerful trend-following tool designed for intraday and short-term trading on leveraged instruments. It focuses purely on EMA crossovers, utilizing a fast custom EMA (Kenneth EMA) and a slower EMA filter to generate clean, momentum-based entry signals.
This system is built with simplicity and execution speed in mind, making it well-suited for traders aiming to capture quick directional moves with high precision. By targeting modest profits such as +0.5% per trade and applying leverage wisely, the strategy aims to consistently realize gains while keeping exposure controlled.
🚀 Core Features:
EMA crossover logic for clear long/short entries
Visual signals and background highlights for instant readability
No noise, no overfitting — just price and trend
💡 Usage Tips:
Best used on trending assets with high volatility
Optimize timeframes and EMA lengths based on the asset's behavior
Ideal when paired with tight TP logic and disciplined risk management
This strategy is not about predicting tops or bottoms — it's about riding momentum efficiently and exiting with a profit. Perfect for fast-paced markets where every fraction of a percent counts.
Peak Trade V1.1This strategy is designed to generate buy and sell signals by examining market movements with technical analysis methods. It analyzes price movements through various technical indicators such as trend structure, volume and volatility. The strategy aims to detect both the continuation of the trend and possible turning points.
The strategy automatically gives buy or sell signals under appropriate conditions in line with the algorithms it determines. These signals are especially suitable for short and medium-term transactions, but users can also use them in different time frames according to their own preferences.
Users can personalize various parameters (e.g. indicator periods, entry/exit points, risk ratio, etc.) through the strategy's settings. Thus, they can optimize them according to their own trading style and market conditions.
Important Note: This strategy has been tested on historical data, but like every strategy, it does not guarantee future results. Please always do your own analysis and do not neglect risk management. Be careful when making your investment decisions.
WMA ATR With Zone + Donchian// 💡 WMA ATR With Zone + Donchian - Strategy Description (EN)
// 📈 A powerful system optimized for short-term trades.
// 🎯 Perfect for traders aiming for 0.5% to 1% profit per trade.
// ⚙️ Combines WMA crossovers, ATR zones, and Donchian filters for high-accuracy signals.
// 💥 Provides meaningful returns when used with leverage.
// 🔍 Filters out noise during sideways markets.
// 📊 Clear info panels and entry/exit zones for easy use.
// 🚀 Great for consistent scalping profits.
// 👉 If you like it, don’t forget to follow 💚
// #Scalping #Leverage #CryptoStrategy #TradingView
// ─────────────────────────────────────────────────────────────
// 💡 WMA ATR With Zone + Donchian - Strateji Açıklaması
// 📈 Kısa vadeli işlemler için optimize edilmiş güçlü bir stratejidir.
// 🎯 Özellikle %0.5 ila %1 kar hedefleyen yatırımcılar için idealdir.
// ⚙️ WMA kesişimleri, ATR bölgeleri ve Donchian kanal filtrelemesiyle yüksek doğruluk sağlar.
// 💥 Kaldıraçla birlikte anlamlı kazançlar sunabilir.
// 🔍 Yatay piyasa filtrelemesiyle yanıltıcı sinyalleri azaltır.
// 📊 Bilgi panelleri ve net giriş-çıkış sinyalleriyle kullanıcı dostudur.
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// #Scalping #Kaldıraç #CryptoStrateji #TradingView
New York Open MarkerNEW YORK OPEN MARKER
This indicator highlights two key time points: the New York Open at 9:30 AM and the 10:00 AM NY time.
For many traders, the NY Open is a crucial session. Manually marking these candles every day can be repetitive and time-consuming — this tool automates that process.
When enabled, it will:
- Mark 9:30 AM NY Time with a Blue marker.
- Mark 10:00 AM NY Time with a Red marker.
You can easily toggle the indicator on or off, customize the labels, or even hide them entirely. The marker colors are also fully adjustable to match your chart style.
This tool is especially handy during backtesting, helping you quickly identify these critical candles without scanning the chart manually.
Indicador Opciones Mejorado con S/R y Alertasnueva version de mi primer script, ahora recibe indicaciones mas precisas
Beta -> The New SystemBeta → The New System 📊
Calculate and visualize your asset’s sensitivity to a benchmark over a rolling lookback period.
What is Beta? 🤔
Beta measures how much your asset moves in relation to a chosen benchmark. A Beta of 1 means it moves in perfect sync; above 1 means it’s more volatile (amplified moves), and below 1 means it’s less volatile (dampened moves). By tracking Beta you see if your asset is a risky rocket or a stable ship compared to the market. 🚀⚓️
Indicator Inputs ⚙️
Lookback Period ⏳
Number of bars (e.g. days) over which to compute rolling averages, covariance, and variance.
Benchmark Symbol 🏷️
The ticker of the market or index you want to compare against (e.g. BTCUSD, ETHUSD, an index).
How It Works 🧮
Fetch prices for both your asset and the benchmark at each bar.
Compute returns by calculating the percentage change from bar to bar.
Smooth returns with a simple moving average over the lookback period to get mean asset and benchmark returns.
Calculate covariance between asset and benchmark returns to see how they move together.
Calculate variance of the benchmark returns to measure its own volatility.
Divide covariance by variance (with a check to avoid division by zero)—that ratio is your Beta.
Plot & Interpretation 🎨
Line Color
Always blue for Beta, emphasizing volatility comparison.
Reference Line
A dashed gray line at Beta = 1 marks “market-level” sensitivity.
Reading Beta
β > 1 🟥
Asset tends to exaggerate benchmark moves—higher upside potential but larger downside risk.
β = 1 🟩
Asset moves in lockstep with your benchmark.
β < 1 🟦
Asset smooths out benchmark swings—less risk but also muted returns.
Pro Tips 💡
Combine Alpha + Beta: high Beta with positive Alpha can be great in up-markets but painful in drawdowns.
Monitor Beta shifts: a sudden jump could signal a regime change or new correlation dynamics.
Test different benchmarks: small-cap altcoins may track a broader crypto index differently than they track Bitcoin.
By keeping an eye on Beta in real time, you’ll understand not just how much you’re making, but how much market risk you’re taking on every trade.
Support & Resistance ZonesAdvanced Support & Resistance Detection Algorithm
This indicator identifies meaningful price levels by analyzing market structure using a proprietary statistical approach. Unlike traditional methods that rely on simple swing highs/lows or moving averages, this system dynamically detects zones where price has shown consistent interaction, revealing true areas of supply and demand.
Core Methodology
Price Data Aggregation
Collects highs and lows over a configurable lookback period.
Normalizes price data to account for volatility, ensuring levels remain relevant across different market conditions.
Statistical Significance Filtering
Rejection of random noise: Eliminates insignificant price fluctuations using adaptive thresholds.
Volume-weighted analysis (implied): Stronger reactions at certain price levels are given higher priority, even if volume data is unavailable.
Dynamic Level Extraction
Density-based S/R Zones: Instead of fixed swing points, the algorithm identifies zones where price has repeatedly consolidated.
Time decay adjustment: Recent price action has more influence, ensuring levels adapt to evolving market structure.
Strength Quantification
Each level is assigned a confidence score based on:
Touch frequency: How often price revisited the zone.
Reaction intensity: The magnitude of bounces/rejections.
Time relevance: Whether the level remains active or has been broken decisively.
Adaptive Level Merging & Pruning
Proximity-based merging: If two levels are too close (within a volatility-adjusted threshold), they combine into one stronger zone.
Decay mechanism: Old, untested levels fade away if price no longer respects them.
Why This Approach Works Better Than Traditional Methods
✅ No subjective drawing required – Levels are generated mathematically, removing human bias.
✅ Self-adjusting sensitivity – Works equally well on slow and fast-moving markets.
✅ Focuses on statistically meaningful zones – Avoids false signals from random noise.
✅ Non-repainting & real-time – Levels only update when new data confirms their validity.
How Traders Can Use These Levels
Support/Resistance Trading: Fade bounces off strong levels or trade breakouts with confirmation.
Confluence with Other Indicators: Combine with RSI, MACD, or volume profiles for higher-probability entries.
Stop Placement: Place stops just beyond key levels to avoid premature exits.
Technical Notes (For Advanced Users)
The algorithm avoids overfitting by dynamically adjusting zones sensitivity based on market conditions.
Unlike fixed pivot points, these levels adapt to trends, making them useful in both ranging and trending markets.
The strength percentage helps filter out weak levels—only trade those with a high score for better accuracy.
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