Extremum Range MA Crossover Strategy1. Principle of Work & Strategy Logic โ๏ธ๐
Main idea: The strategy tries to catch the moment of a breakout from a price consolidation range (flat) and the start of a new trend. It combines two key elements:
Moving Average (MA) ๐: Acts as a dynamic support/resistance level and trend filter.
Range Extremes (Range High/Low) ๐บ๐ป: Define the borders of the recent price channel or consolidation.
The strategy does not attempt to catch absolute tops and bottoms. Instead, it enters an already formed move after the breakout, expecting continuation.
Type: Trend-following, momentum-based.
Timeframes: Works on different TFs (H1, H4, D), but best suited for H4 and higher, where breakouts are more meaningful.
2. Justification of Indicators & Settings โ๏ธ
A. Moving Average (MA) ๐
Why used: Core of the strategy. It smooths price fluctuations and helps define the trend. The price (via extremes) must cross the MA โ signals a potential trend shift or strengthening.
Parameters:
maLength = 20: Default length (โ one trading month, 20-21 days). Good balance between sensitivity & smoothing.
Lower TF โ reduce (10โ14).
Higher TF โ increase (50).
maSource: Defines price source (default = Close). Alternatives (HL2, HLC3) โ smoother, less noisy MA.
maType: Default = EMA (Exponential MA).
Why EMA? Faster reaction to recent price changes vs SMA โ useful for breakout strategies.
Other options:
SMA ๐ฆ โ classic, slowest.
WMA ๐จ โ weights recent data stronger.
HMA ๐ฉ โ near-zero lag, but โnervous,โ more false signals.
DEMA/TEMA ๐ง โ even faster & more sensitive than EMA.
VWMA ๐ โ volume-weighted.
ZLEMA โฑ โ reduced lag.
๐ Choice = tradeoff between speed of reaction & false signals.
B. Range Extremes (Previous High/Low) ๐
Why used: Define borders of recent trading range.
prevHigh = local resistance.
prevLow = local support.
Break of these levels on close = trigger.
Parameters:
lookbackPeriod = 5: Searches for highest high / lowest low of last 5 candles. Very recent range.
Higher value (10โ20) โ wider, stronger ranges but rarer signals.
3. Entry & Exit Rules ๐ฏ
Long signals (BUY) ๐ข๐
Condition (longCondition): Previous Low crosses MA from below upwards.
โ Price bounced from the bottom & strong enough to push range border above MA.
Execution: Auto-close short (if any) โ open long.
Short signals (SELL) ๐ด๐
Condition (shortCondition): Previous High crosses MA from above downwards.
โ Price rejected from the top, upper border failed above MA.
Execution: Auto-close long (if any) โ open short.
Exit conditions ๐ช
Exit Long (exitLongCondition): Close below prevLow.
โ Uptrend likely ended, range shifts down.
Exit Short (exitShortCondition): Close above prevHigh.
โ Downtrend likely ended, range shifts up.
โ ๏ธ Important: Exit = only on candle close beyond extremes (not just wick).
4. Trading Settings โ๏ธ
overlay = true โ indicators shown on chart.
initial_capital = 10000 ๐ต.
default_qty_type = strategy.cash, default_qty_value = 100 โ trades fixed $100 per order (not lots). Can switch to % of equity.
commission_type = strategy.commission.percent, commission_value = 0.1 โ default broker fee = 0.1%. Adjust for your broker!
slippage = 3 โ slippage = 3 ticks. Adjust to asset liquidity.
currency = USD.
margin_long = 100, margin_short = 100 โ no leverage (100% margin).
5. Visualization on Chart ๐
The strategy draws 3 lines:
๐ต MA line (thickness 2).
๐ด Previous High (last N candles).
๐ข Previous Low (last N candles).
Also: entry/exit arrows & equity curve shown in backtest.
Disclaimer โ ๏ธ๐
Risk Warning: This description & code are for educational purposes only. Not financial advice. Trading (Forex, Stocks, Crypto) carries high risk and may lead to full capital loss. You trade at your own risk.
Testing: Always backtest & demo test first. Past results โ future profits.
Responsibility: Author of this strategy & description is not responsible for your trading decisions or losses.
In den Scripts nach "top" suchen
VIX Price BoxVIX Price Box (Customizable Colors)
This indicator displays the current VIX (CBOE Volatility Index) value in a fixed box on the top-right corner of the chart. Itโs designed to give traders a quick, at-a-glance view of market volatility without needing to switch tickers.
Features
Pulls the live VIX price and updates automatically on every bar.
Displays the value inside a table box that stays fixed in the top-right corner.
Threshold-based coloring: the text color changes depending on whether the VIX is below, between, or above your chosen threshold levels.
5 built-in color modes:
Custom mode โ choose your own colors for low, medium, and high volatility zones.
Adjustable threshold levels, background color, and frame color.
Use Cases
Monitor overall market risk sentiment while trading other instruments.
Identify periods of low vs. high volatility at a glance.
Pair with strategies that rely on volatility (options trading, hedging, breakout setups, etc.).
Daily/Weekly Wick (Shadow) Range๐ Detailed Guide to the Daily/Weekly Wick (Shadow) Range Indicator
This indicator is a powerful visualization tool designed to map the key price levels established during the previous trading period (either the previous day or the previous week). Instead of just showing a single line for the high and low, it highlights the entire range of the upper and lower wicks (shadows), representing the "battleground" where buyers and sellers were most active.
How It Works
The Wick (Shadow) Range indicator fetches the Open, High, Low, and Close data from the last completed daily or weekly candle and projects those levels onto your current chart. This creates two distinct colored zones.
Upper Wick (Green Zone): This area spans from the Previous High down to the top of the Previous Candle's Body. It visually represents the territory where sellers successfully pushed the price down from its peak. This entire zone can be considered a resistance area.
Lower Wick (Red Zone): This area spans from the bottom of the Previous Candle's Body down to the Previous Low. It shows where buyers stepped in to defend a price level and push it back up. This entire zone can be considered a support area.
How to Use It in Your Trading
This indicator isn't meant to give direct buy or sell signals on its own. Instead, it provides crucial context about market structure. Here are several ways to incorporate it into your strategy:
1. Identifying Key Support & Resistance
This is the indicator's primary function. The most significant levels are:
Key Resistance: The top edge of the green zone (the previous period's high).
Key Support: The bottom edge of the red zone (the previous period's low).
Look for the current price to react when it approaches these boundaries. These are high-probability areas for price to pause or reverse.
2. Watching for Price Rejection (Reversal Trading)
The colored zones are perfect for spotting rejection signals.
Bearish Rejection ๐: If the current price enters the green zone but fails to stay there, closing back below it (often forming a new wick), it's a strong sign that sellers are still in control at that level. This can be an excellent entry signal for a short position.
Bullish Rejection ๐: If the current price dips into the red zone and is quickly bought back up, it shows that buyers are actively defending that area. This can be a great entry signal for a long position.
3. Confirming Breakouts (Trend Trading)
The zones also help validate breakouts.
Bullish Breakout: If the price pushes decisively through the entire green zone and closes above the previous high, it signals that the previous resistance has been broken and the trend may continue upward.
Bearish Breakdown: If the price falls decisively through the entire red zone and closes below the previous low, it confirms that support has failed and the price may continue downward.
4. Setting Context with Timeframes
Weekly Setting: Use the "Weekly" option to identify major, significant support and resistance levels that can influence the market for the entire week. These are powerful levels for swing trading.
Daily Setting: Use the "Daily" option for intraday trading. The previous day's high and low are critical pivot points that many day traders watch.
โ๏ธ Indicator Settings
The indicator has one simple setting, which you can access by clicking the gear icon โ๏ธ next to its name on the chart.
Select Wick Timeframe: This dropdown menu allows you to switch the indicator's calculation between the Daily and Weekly timeframe instantly.
Weinstein Stage Analyzer โ Table Only (more padding)What it does
This indicator applies Stan Weinsteinโs Stage Analysis (Stages 1โ4) and presents the result in a clean, compact table onlyโno lines, labels, or overlays. It shows:
โข Previous Stage
โข Current Stage (with Early / Mature / Late tag)
โข Duration (how long price has been in the current stage, in HTF bars)
โข Sentiment (Bullish / Bearish / Balanced / Cautious, derived from stage & maturity)
Timeframe-aware logic
โข Weekly charts: classic 30-period MA (Weinsteinโs original 30-week concept).
โข Daily & Intraday: computed on Daily 150 as a practical daily translation of the 30-week idea.
โข Monthly: ~7-period MA (~30 weeks โ 7 months).
The stage classification itself is evaluated on this HTF context and then displayed on your active chart.
EMA/SMA toggle
Choose EMA (default) or SMA for the trend line used in stage detection.
How stages are decided (practical rules)
โข Stage 2 (Advance): MA rising with price above an upper band.
โข Stage 4 (Decline): MA falling with price below a lower band.
โข Flat MA zones become Stage 1 (Base) or Stage 3 (Top) depending on the prior trend.
โMaturityโ tags (Early/Mature/Late) come from run length and extension beyond the band.
Inputs you can tweak
โข MA Type: EMA / SMA
โข Price Band (ยฑ%) and Slope Threshold to tighten/loosen stage flips
โข Maturity thresholds: min/max bars & late-extension %
Notes
โข Duration is for the entire current stage (e.g., total time in Stage 4), not just the maturity slice.
โข A Top Padding Rows input is included to nudge the table lower if it overlaps your OHLC readout.
Disclaimer
For educational use only. Not financial advice. Always confirm with your own analysis, risk management, and market context.
High-and-Tight Impulse + Micro ConsolidationThis indicator detects a specific bullish continuation setup on daily charts:
- An impulse move (X% rise within N bars, mostly green candles)
- Immediately followed by a tight consolidation (small ranges, small bodies)
- Closes holding in the top zone of the impulse
On the chart, signals are plotted as orange dots above bars.
Labels show the last detected setup date, and a counter displays total matches in history.
Useful for backtesting "high-and-tight flag" type momentum patterns or any symbol.
Adjust inputs (impulse % threshold, bars, ATR ratios, top zone %) to make it stricter or looser.
Alerts are included when a new setup is detected.
This tool is not financial advice. For educational and research purposes only.
by fiyatherseydir
Big Candle Trendโ OVERVIEW
The "Big Candle Trend" indicator is a technical analysis tool written in Pine Scriptยฎ v6 that identifies large signal candles on the chart and determines the trend direction based on the analysis of all candles within a specified period. Designed for traders seeking a simple yet effective tool to identify key market movements and trends, the indicator provides clarity and precision through flexible settings, trend line visualization, and retracement lines on signal candles.
โ CONCEPTS
The goal of the "Big Candle Trend" indicator was to create a tool based solely on the size of candle bodies and their relative positions, making it universal and effective across all markets (stocks, forex, cryptocurrencies) and timeframes. Unlike traditional indicators that often rely on complex formulas or external data (e.g., volume), this indicator uses simple yet powerful price action logic. Large signal candles are identified by comparing their body size to the average body size over a selected period, and the trend is determined by analyzing price changes over a longer period relative to the average candle body size. Additionally, the indicator draws horizontal lines on signal candles, aiding in setting Stop Loss levels or delayed entries.
โ FEATURES
Large Signal Candle Detection: Identifies candles with a body larger than the average body multiplied by a user-defined multiplier, aligned with the trend (if the trend filter is enabled). Signals are displayed as triangles (green for bullish, red for bearish).
Trend Analysis: Determines the trend (uptrend, downtrend, or neutral) by comparing the price change over a selected period (trend_length) to the average candle body size multiplied by a trend strength multiplier. The trend starts when:
Uptrend: The price change (difference between the current close and the close from an earlier period) is positive and exceeds the average candle body size multiplied by the trend strength multiplier (avg_body_trend * trend_mult).
Downtrend: The price change is negative and exceeds, in absolute value, the average candle body size multiplied by the trend strength multiplier.
Neutral Trend: The price change is below the required threshold, indicating no clear market direction.The trend ends when the price change no longer meets the conditions for an uptrend or downtrend, transitioning to a neutral state or switching to the opposite trend when the price change reverses and meets the conditions for the new trend. This approach differs from standard methods as it focuses on price dynamics in the context of candle body size, offering a more intuitive and direct way to gauge trend strength.
Smoothed Trend Line: Displays a trend line based on the average price (HL2, i.e., the average of the high and low of a candle), smoothed using a user-defined smoothing parameter. The trend line reflects the market direction but is not tied to breakouts, unlike many other trend indicators, allowing for more flexible interpretation.
Retracement Lines: Draws horizontal lines on signal candles at a user-defined level (e.g., 0.618). The lines are displayed to the right of the candle, with a width of one candle. For bullish candles, the line is measured from the top of the body (close) downward, and for bearish candles, from the bottom of the body (close) upward, aiding in setting Stop Loss or delayed entries.
Trend Option: Option to enable a trend filter that limits large candle signals to those aligned with the current trend, enhancing signal precision.
Customizable Visualization: Allows customization of colors for uptrend, downtrend, and neutral states, trend line style, and shadow fill between the trend line and price.
Alerts: Built-in alerts for large signal candles (bullish and bearish) and trend changes (start of uptrend, downtrend, or neutral trend).
โ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
Candle Settings:
Average Period (Candles): Sets the period for calculating the average candle body size.
Large Candle Multiplier: Multiplier determining how large a candleโs body must be to be considered "large".
Trend Settings:
Trend Period: Period for analyzing price changes to determine the trend.
Trend Strength Multiplier: Multiplier setting the minimum price change required to identify a significant trend.
Trend Line Smoothing: Degree of smoothing for the trend line.
Show Trend Line: Enables/disables the display of the trend line.
Apply Trend Filter: Limits large candle signals to those aligned with the current trend.
Trend Colors:
Customize colors for uptrend (green), downtrend (red), and neutral (gray) states, and enable/disable shadow fill.
Retracement Settings:
Retracement Level (0.0-1.0): Sets the level for lines on signal candles (e.g., 0.618).
Line Width: Sets the thickness of retracement lines.
Interpreting Signals:
Bullish Signal: A green triangle below the candle indicates a large bullish candle aligned with an uptrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the top of the body downward.
Bearish Signal: A red triangle above the candle indicates a large bearish candle aligned with a downtrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the bottom of the body upward.
rend Line: Shows the market direction (green for uptrend, red for downtrend, gray for neutral). Unlike many indicators, the trend lineโs color is not tied to its breakout, allowing for more flexible interpretation of market dynamics.
Alerts: Set up alerts in TradingView for large signal candles or trend changes to receive real-time notifications.
Combining with Other Tools: Use the indicator alongside other technical analysis tools, such as support/resistance levels, RSI, moving averages, or Fair Value Gaps (FVG), to confirm signals.
โ APPLICATIONS
Price Action Trading: Large signal candles can indicate key market moments, such as breakouts of support/resistance levels or strong price rejections. Use signal candles in conjunction with support/resistance levels or FVG to identify entry opportunities. Retracement lines help set Stop Loss levels (e.g., below the line for bullish candles, above for bearish) or delayed entries after price returns to the retracement level and confirms trend continuation. Note that large candles often generate Fair Value Gaps (FVG), which should be considered when setting Stop Loss levels.
Trend Strategies: Enable the trend filter to limit signals to those aligned with the dominant market direction. For example, in an uptrend, look for large bullish candles as continuation signals. The indicator can also be used for position pyramiding, adding positions as subsequent large candles confirm trend continuation.
Practical Approach:
Large candles with high volume may indicate strong market participation, increasing signal reliability.
The trend line helps visually assess market direction and confirm large candle signals.
Retracement lines on signal candles aid in identifying key levels for Stop Loss or delayed entries.
โ NOTES
The indicator works across all markets and timeframes due to its universal logic based on candle body size and relative positioning.
Adjust settings (e.g., trend period, large candle multiplier, retracement level) to suit your trading style and timeframe.
Test the indicator on various markets (stocks, forex, cryptocurrencies) and timeframes to optimize its performance.
Use in conjunction with other technical analysis tools to enhance signal accuracy.
FXSArbitrage Spread (Custom Start Time)
This indicator analyzes the spread and correlation between two selected instruments or currency pairs.
Key Features:
Displays the percentage change of the two instruments in a separate chart (does not overlay the main chart).
Lines show the entire historical price movement of the selected instruments.
Calculates the current spread and correlation from a chosen date and time (default โ last Monday 00:00).
Spread and corr values are rounded to two decimal places for convenience.
The top-right table displays:
corr โ correlation coefficient between the instruments,
spread โ current spread between the pairs,
Average max deviation for the period โ manual input,
Maximum deviation for the entire period โ manual input.
The top-left table shows the color of each pair for clarity.
Alerts can be set for specific corr and spread values.
Features:
Historical lines allow visual tracking of dynamics over the entire available period.
Current spread is calculated separately from the selected start time, allowing analysis of current conditions without affecting historical visualization.
Fully customizable: line colors, calculation period, start date/time for spread, manual statistical data.
ATR Future Movement Range Projection
The "ATR Future Movement Range Projection" is a custom TradingView Pine Script indicator designed to forecast potential price ranges for a stock (or any asset) over short-term (1-month) and medium-term (3-month) horizons. It leverages the Average True Range (ATR) as a measure of volatility to estimate how far the price might move, while incorporating recent momentum bias based on the proportion of bullish (green) vs. bearish (red) candles. This creates asymmetric projections: in bullish periods, the upside range is larger than the downside, and vice versa.
The indicator is overlaid on the chart, plotting horizontal lines for the projected high and low prices for both timeframes. Additionally, it displays a small table in the top-right corner summarizing the projected prices and the percentage change required from the current close to reach them. This makes it useful for traders assessing potential targets, risk-reward ratios, or option strategies, as it combines volatility forecasting with directional sentiment.
Key features:
- **Volatility Basis**: Uses weekly ATR to derive a stable daily volatility estimate, avoiding noise from shorter timeframes.
- **Momentum Adjustment**: Analyzes recent candle colors to tilt projections toward the prevailing trend (e.g., more upside if more green candles).
- **Time Horizons**: Fixed at 1 month (21 trading days) and 3 months (63 trading days), assuming ~21 trading days per month (excluding weekends/holidays).
- **User Adjustable**: The ATR length/lookback (default 50) can be tweaked via inputs.
- **Visuals**: Green/lime lines for highs, red/orange for lows; a semi-transparent table for quick reference.
- **Limitations**: This is a probabilistic projection based on historical volatility and momentumโit doesn't predict direction with certainty and assumes volatility persists. It ignores external factors like news, earnings, or market regimes. Best used on daily charts for stocks/ETFs.
The indicator doesn't generate buy/sell signals but helps visualize "expected" ranges, similar to how implied volatility informs option pricing.
### How It Works Step-by-Step
The script executes on each bar update (typically daily timeframe) and follows this logic:
1. **Input Configuration**:
- ATR Length (Lookback): Default 50 bars. This controls both the ATR calculation period and the candle count window. You can adjust it in the indicator settings.
2. **Calculate Weekly ATR**:
- Fetches the ATR from the weekly timeframe using `request.security` with a length of 50 weeks.
- ATR measures average price range (high-low, adjusted for gaps), representing volatility.
3. **Derive Daily ATR**:
- Divides the weekly ATR by 5 (approximating 5 trading days per week) to get an equivalent daily volatility estimate.
- Example: If weekly ATR is $5, daily ATR โ $1.
4. **Define Projection Periods**:
- 1 Month: 21 trading days.
- 3 Months: 63 trading days (21 ร 3).
- These are hardcoded but based on standard trading calendar assumptions.
5. **Compute Base Projections**:
- Base projection = Daily ATR ร Days in period.
- This gives the total expected movement (range) without direction: e.g., for 3 months, $1 daily ATR ร 63 = $63 total range.
6. **Analyze Candle Momentum (Win Rate)**:
- Counts green candles (close > open) and red candles (close < open) over the last 50 bars (ignores dojis where close == open).
- Total colored candles = green + red.
- Win rate = green / total colored (as a fraction, e.g., 0.7 for 70%). Defaults to 0.5 if no colored candles.
- This acts as a simple momentum proxy: higher win rate implies bullish bias.
7. **Adjust Projections Asymmetrically**:
- Upside projection = Base projection ร Win rate.
- Downside projection = Base projection ร (1 - Win rate).
- This skews the range: e.g., 70% win rate means 70% of the total range allocated to upside, 30% to downside.
8. **Calculate Projected Prices**:
- High = Current close + Upside projection.
- Low = Current close - Downside projection.
- Done separately for 1M and 3M.
9. **Plot Lines**:
- 3M High: Solid green line.
- 3M Low: Solid red line.
- 1M High: Dashed lime line.
- 1M Low: Dashed orange line.
- Lines extend horizontally from the current bar onward.
10. **Display Table**:
- A 3-column table (Projection, Price, % Change) in the top-right.
- Rows for 1M High/Low and 3M High/Low, color-coded.
- % Change = ((Projected price - Close) / Close) ร 100.
- Updates dynamically with new data.
The entire process repeats on each new bar, so projections evolve as volatility and momentum change.
### Examples
Here are two hypothetical examples using the indicator on a daily chart. Assume it's applied to a stock like AAPL, but with made-up data for illustration. (In TradingView, you'd add the script to see real outputs.)
#### Example 1: Bullish Scenario (High Win Rate)
- Current Close: $150.
- Weekly ATR (50 periods): $10 โ Daily ATR: $10 / 5 = $2.
- Last 50 Candles: 35 green, 15 red โ Total colored: 50 โ Win Rate: 35/50 = 0.7 (70%).
- Base Projections:
- 1M: $2 ร 21 = $42.
- 3M: $2 ร 63 = $126.
- Adjusted Projections:
- 1M Upside: $42 ร 0.7 = $29.4 โ High: $150 + $29.4 = $179.4 (+19.6%).
- 1M Downside: $42 ร 0.3 = $12.6 โ Low: $150 - $12.6 = $137.4 (-8.4%).
- 3M Upside: $126 ร 0.7 = $88.2 โ High: $150 + $88.2 = $238.2 (+58.8%).
- 3M Downside: $126 ร 0.3 = $37.8 โ Low: $150 - $37.8 = $112.2 (-25.2%).
- On the Chart: Green/lime lines skewed higher; table shows bullish % changes (e.g., +58.8% for 3M high).
- Interpretation: Suggests stronger potential upside due to recent bullish momentum; useful for call options or long positions.
#### Example 2: Bearish Scenario (Low Win Rate)
- Current Close: $50.
- Weekly ATR (50 periods): $3 โ Daily ATR: $3 / 5 = $0.6.
- Last 50 Candles: 20 green, 30 red โ Total colored: 50 โ Win Rate: 20/50 = 0.4 (40%).
- Base Projections:
- 1M: $0.6 ร 21 = $12.6.
- 3M: $0.6 ร 63 = $37.8.
- Adjusted Projections:
- 1M Upside: $12.6 ร 0.4 = $5.04 โ High: $50 + $5.04 = $55.04 (+10.1%).
- 1M Downside: $12.6 ร 0.6 = $7.56 โ Low: $50 - $7.56 = $42.44 (-15.1%).
- 3M Upside: $37.8 ร 0.4 = $15.12 โ High: $50 + $15.12 = $65.12 (+30.2%).
- 3M Downside: $37.8 ร 0.6 = $22.68 โ Low: $50 - $22.68 = $27.32 (-45.4%).
- On the Chart: Red/orange lines skewed lower; table highlights larger downside % (e.g., -45.4% for 3M low).
- Interpretation: Indicates bearish risk; might prompt protective puts or short strategies.
#### Example 3: Neutral Scenario (Balanced Win Rate)
- Current Close: $100.
- Weekly ATR: $5 โ Daily ATR: $1.
- Last 50 Candles: 25 green, 25 red โ Win Rate: 0.5 (50%).
- Projections become symmetric:
- 1M: Base $21 โ Upside/Downside $10.5 each โ High $110.5 (+10.5%), Low $89.5 (-10.5%).
- 3M: Base $63 โ Upside/Downside $31.5 each โ High $131.5 (+31.5%), Low $68.5 (-31.5%).
- Interpretation: Pure volatility-based range, no directional biasโideal for straddle options or range trading.
In real use, test on historical data: e.g., if past projections captured actual moves ~68% of the time (1 standard deviation for ATR), it validates the volatility assumption. Adjust the lookback for different assets (shorter for volatile cryptos, longer for stable blue-chips).
RSI + ARBR ็ปๅๆๆ The RSI + ARBR indicator mainly harmonizes the values of the two indicators, enabling investors to exit at market tops or buy at market bottoms when market sentiment surges or collapses.
### ่กฅๅ
่ฏดๆ๏ผ
- **RSI**๏ผๅ
จ็งฐไธบRelative Strength Index๏ผ็ธๅฏนๅผบๅผฑๆๆฐ๏ผ๏ผๆฏๅธธ็จ็ๆๆฏๅๆๆๆ ๏ผ็จไบ่กก้ๅธๅบๅค็ฉบๅๆนๅ้็ๅฏนๆฏใ
- **ARBR**๏ผ็ฑAR๏ผActivity Ratio๏ผไบบๆฐๆๆ ๏ผๅBR๏ผBuying Ratio๏ผๆๆฟๆๆ ๏ผไธคไธชๅญๆๆ ็ปๆ๏ผไธป่ฆๅๆ ๅธๅบไบคๆ็ๆดป่ท็จๅบฆๅๆ่ต่
็ไนฐๅๆๆฟใ
- ๅฅไธญโ้้กถโ่ฏไธบโexit at market topsโ๏ผโๆๅบโ่ฏไธบโbuy at market bottomsโ๏ผๅไธบ้่้ขๅๅธธ็จ่กจ่พพ๏ผๅ็กฎๅฏนๅบโๅจ้ซไฝๅๅบ่ง้ฟ้ฃ้ฉโๅโๅจไฝไฝไนฐๅ
ฅ็ญๅพ
ไธๆถจโ็ๆไฝๅซไนใ
Tristan's Box: Pre-Market Range Breakout + RetestMarket Context:
This is designed for U.S. stocks, focusing on pre-market price action (4:00โ9:30 AM ET) to identify key support/resistance levels before the regular session opens.
Built for 1 min and 5 min timelines, and is intended for day trading / scalping.
Core Idea:
Pre-market range (high/low) often acts as a magnet for price during regular hours.
The first breakout outside this range signals potential strong momentum in that direction.
Retest of the breakout level confirms whether the breakout is valid, avoiding false moves.
Step-by-Step Logic:
Pre-Market Range Identification:
Track high and low from 4:00โ9:30 AM ET.
Draw a box spanning this range for visual reference and calculation.
Breakout Detection:
When the first candle closes above the pre-market high โ long breakout.
When the first candle closes below the pre-market low โ short breakout.
The first breakout candle is highlighted with a โYOLOโ label for visual confirmation.
Retest Confirmation:
Identify the first candle whose wick touches the pre-market box (high touches top for short, low touches bottom for long).
Wait for the next candle: if it closes outside the box, it confirms the breakout.
Entry Execution:
Long entry: on the confirming candle after a wick-touch above the pre-market high.
Short entry: on the confirming candle after a wick-touch below the pre-market low.
Only the first valid entry per direction per day is taken.
Visuals & Alerts:
Box represents pre-market high/low.
Top/bottom box border lines show the pre-market high / low levels cleanly.
BUY/SELL markers are pinned to the confirming candle.
Added a "YOLO" marker on breakout candle.
Alert conditions trigger when a breakout is confirmed by the retest.
Strategy Type:
Momentum breakout strategy with confirmation retest.
Combines pre-market structure and risk-managed entries.
Designed to filter false breakouts by requiring confirmation on the candle after the wick-touch.
In short, itโs a pre-market breakout momentum strategy: it uses the pre-market high/low as reference, waits for a breakout, and then enters only after a confirmation retest, reducing the chance of entering on a false spike.
Always use good risk management.
Simplified Market ForecastSimplified Market Forecast Indicator
This indicator pairs nicely with the Contrarian 100 MA and can be located here:
Overview
The "Simplified Market Forecast" (SMF) indicator is a streamlined technical analysis tool designed for traders to identify potential buy and sell opportunities based on a momentum-based oscillator. By analyzing price movements relative to a defined lookback period, SMF generates clear buy and sell signals when the oscillator crosses customizable threshold levels. This indicator is versatile, suitable for various markets (e.g., forex, stocks, cryptocurrencies), and optimized for daily timeframes, though it can be adapted to other timeframes with proper testing. Its intuitive design and visual cues make it accessible for both novice and experienced traders.
How It Works
The SMF indicator calculates a momentum oscillator based on the priceโs position within a specified range over a user-defined lookback period. It then smooths this value to reduce noise and plots the result as a line in a separate lower pane. Buy and sell signals are generated when the smoothed oscillator crosses above a user-defined buy level or below a user-defined sell level, respectively. These signals are visualized as triangles either on the main chart or in the lower pane, with a table displaying the current ticker and oscillator value for quick reference.
Key Components
Momentum Oscillator: The indicator measures the priceโs position relative to the highest high and lowest low over a specified period, normalized to a 0โ100 scale.
Signal Generation: Buy signals occur when the oscillator crosses above the buy level (default: 15), indicating potential oversold conditions. Sell signals occur when the oscillator crosses below the sell level (default: 85), suggesting potential overbought conditions.
Visual Aids: The indicator includes customizable horizontal lines for buy and sell levels, shaded zones for clarity, and a table showing the ticker and current oscillator value.
Mathematical Concepts
Oscillator Calculation: The indicator uses the following formula to compute the raw oscillator value:
c1I = close - lowest(low, medLen)
c2I = highest(high, medLen) - lowest(low, medLen)
fastK_I = (c1I / c2I) * 100
The result is smoothed using a 5-period Simple Moving Average (SMA) to produce the final oscillator value (inter).
Signal Logic:
A buy signal is triggered when the smoothed oscillator crosses above the buy level (ta.crossover(inter, buyLevel)).
A sell signal is triggered when the smoothed oscillator crosses below the sell level (ta.crossunder(inter, sellLevel)).
Entry and Exit Rules
Buy Signal (Blue Triangle): Triggered when the oscillator crosses above the buy level (default: 15), indicating a potential oversold condition and a buying opportunity. The signal appears as a blue triangle either below the price bar (if plotted on the main chart) or at the bottom of the lower pane.
Sell Signal (White Triangle): Triggered when the oscillator crosses below the sell level (default: 85), indicating a potential overbought condition and a selling opportunity. The signal appears as a white triangle either above the price bar (if plotted on the main chart) or at the top of the lower pane.
Exit Rules: Traders can exit positions when an opposite signal occurs (e.g., exit a buy on a sell signal) or based on additional technical analysis tools (e.g., support/resistance, trendlines). Always apply proper risk management.
Recommended Usage
The SMF indicator is optimized for the daily timeframe but can be adapted to other timeframes (e.g., 1H, 4H) with careful testing. It performs best in markets with clear momentum shifts, such as trending or range-bound conditions. Traders should:
Backtest the indicator on their chosen asset and timeframe to validate signal reliability.
Combine with other indicators (e.g., moving averages, support/resistance) or price action for confirmation.
Adjust the lookback period and buy/sell levels to suit market volatility and trading style.
Customization Options
Intermediate Length: Adjust the lookback period for the oscillator calculation (default: 31 bars).
Buy/Sell Levels: Customize the threshold levels for buy (default: 15) and sell (default: 85) signals.
Colors: Modify the colors of the oscillator line, buy/sell signals, and threshold lines.
Signal Display: Toggle whether signals appear on the main chart or in the lower pane.
Visual Aids: The indicator includes dotted horizontal lines at the buy (green) and sell (red) levels, with shaded zones between 0โbuy level (green) and sell levelโ100 (red) for clarity.
Ticker Table: A table in the top-right corner displays the current ticker and oscillator value (in percentage), with customizable colors.
Why Use This Indicator?
The "Simplified Market Forecast" indicator provides a straightforward, momentum-based approach to identifying potential reversals in overbought or oversold markets. Its clear signals, customizable settings, and visual aids make it easy to integrate into various trading strategies. Whether youโre a swing trader or a day trader, SMF offers a reliable tool to enhance decision-making and improve market timing.
Tips for Users
Test the indicator thoroughly on your chosen asset and timeframe to optimize settings.
Use in conjunction with other technical tools for stronger trade confirmation.
Adjust the buy and sell levels based on market conditions (e.g., lower levels for less volatile markets).
Monitor the ticker table for real-time oscillator values to gauge market momentum.
Happy trading with the Simplified Market Forecast indicator!
Stock Scoring SystemThe EMA Scoring System is designed to help traders quickly assess market trend strength and decide portfolio allocation. It compares price vs. key EMAs (21, 50, 100) and also checks the relative strength between EMAs. Based on these conditions, it assigns a score (-6 to +6) and a corresponding allocation percentage.
+6 Score = 100% allocation (strong bullish trend)
-6 Score = 10% allocation (strong bearish trend)
Scores in between represent intermediate trend strength.
๐ Key Features
โ
Scoring Model: Evaluates price vs. EMA alignment and EMA cross relationships.
โ
Allocation % Display: Converts score into suggested portfolio allocation.
โ
Background Highlighting: Green shades for bullish conditions, red shades for bearish.
โ
Customizable Table Position: Choose between Top Right, Top Center, Bottom Right, or Bottom Center.
โ
Toggleable EMAs: Show/Hide 21 EMA, 50 EMA, and 100 EMA directly from indicator settings.
โ
Simple & Intuitive: One glance at the chart tells you trend strength and suggested allocation.
๐ How It Works
Score Calculation:
Price above an EMA = +1, below = -1
Faster EMA above slower EMA = +1, else -1
Maximum score = +6, minimum = -6
Allocation Mapping:
+6 โ 100% allocation
+4 to +5 โ 100% allocation
+2 to +3 โ 75% allocation
0 to +1 โ 50% allocation
-1 to -2 โ 30% allocation
-3 to -4 โ 20% allocation
-5 to -6 โ 10% allocation
Visual Output:
Table shows SCORE + Allocation %
Background color shifts with score (green for bullish, red for bearish)
โ ๏ธ Disclaimer
This indicator is for educational purposes only. It does not constitute financial advice. Always backtest and combine with your own analysis before making trading decisions.
Savitzky-Golay Hampel Filter | AlphaNattSavitzky-Golay Hampel Filter | AlphaNatt
A revolutionary indicator combining NASA's satellite data processing algorithms with robust statistical outlier detection to create the most scientifically advanced trend filter available on TradingView.
"This is the same mathematics that processes signals from the Hubble Space Telescope and analyzes data from the Large Hadron Collider - now applied to financial markets."
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๐ SCIENTIFIC PEDIGREE
Savitzky-Golay Filter Applications:
NASA: Satellite telemetry and space probe data processing
CERN: Particle physics data analysis at the LHC
Pharmaceutical: Chromatography and spectroscopy analysis
Astronomy: Processing signals from radio telescopes
Medical: ECG and EEG signal processing
Hampel Filter Usage:
Aerospace: Cleaning sensor data from aircraft and spacecraft
Manufacturing: Quality control in precision engineering
Seismology: Earthquake detection and analysis
Robotics: Sensor fusion and noise reduction
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๐งฌ THE MATHEMATICS
1. Savitzky-Golay Filter
The SG filter performs local polynomial regression on data points:
Fits a polynomial of degree n to a sliding window of data
Evaluates the polynomial at the center point
Preserves higher moments (peaks, valleys) unlike moving averages
Maintains derivative information for true momentum analysis
Originally published in Analytical Chemistry (1964)
Mathematical Properties:
Optimal smoothing in the least-squares sense
Preserves statistical moments up to polynomial order
Exact derivative calculation without additional lag
Superior frequency response vs traditional filters
2. Hampel Filter
A robust outlier detector based on Median Absolute Deviation (MAD):
Identifies outliers using robust statistics
Replaces spurious values with polynomial-fitted estimates
Resistant to up to 50% contaminated data
MAD is 1.4826 times more robust than standard deviation
Outlier Detection Formula:
|x - median| > k ร 1.4826 ร MAD
Where k is the threshold parameter (typically 3 for 99.7% confidence)
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๐ WHY THIS IS SUPERIOR
vs Moving Averages:
Preserves peaks and valleys (critical for catching tops/bottoms)
No lag penalty for smoothness
Maintains derivative information
Polynomial fitting > simple averaging
vs Other Filters:
Outlier immunity (Hampel component)
Scientifically optimal smoothing
Preserves higher-order features
Used in billion-dollar research projects
Unique Advantages:
Feature Preservation: Maintains market structure while smoothing
Spike Immunity: Ignores false breakouts and stop hunts
Derivative Accuracy: True momentum without additional indicators
Scientific Validation: 60+ years of academic research
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โ๏ธ PARAMETER OPTIMIZATION
1. Polynomial Order (2-5)
2 (Quadratic): Maximum smoothing, gentle curves
3 (Cubic): Balanced smoothing and responsiveness (recommended)
4-5 (Higher): More responsive, preserves more features
2. Window Size (7-51)
Must be odd number
Larger = smoother but more lag
Formula: 2ร(desired smoothing period) + 1
Default 21 = analyzes 10 bars each side
3. Hampel Threshold (1.0-5.0)
1.0: Aggressive outlier removal (68% confidence)
2.0: Moderate outlier removal (95% confidence)
3.0: Conservative outlier removal (99.7% confidence) (default)
4.0+: Only extreme outliers removed
4. Final Smoothing (1-7)
Additional WMA smoothing after filtering
1 = No additional smoothing
3-5 = Recommended for most timeframes
7 = Ultra-smooth for position trading
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๐ TRADING STRATEGIES
Signal Recognition:
Cyan Line: Bullish trend with positive derivative
Pink Line: Bearish trend with negative derivative
Color Change: Trend reversal with polynomial confirmation
1. Trend Following Strategy
Enter when price crosses above cyan filter
Exit when filter turns pink
Use filter as dynamic stop loss
Best in trending markets
2. Mean Reversion Strategy
Enter long when price touches filter from below in uptrend
Enter short when price touches filter from above in downtrend
Exit at opposite band or filter color change
Excellent for range-bound markets
3. Derivative Strategy (Advanced)
The SG filter preserves derivative information
Acceleration = second derivative > 0
Enter on positive first derivative + positive acceleration
Exit on negative second derivative (momentum slowing)
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๐ PERFORMANCE CHARACTERISTICS
Strengths:
Outlier Immunity: Ignores stop hunts and flash crashes
Feature Preservation: Catches tops/bottoms better than MAs
Smooth Output: Reduces whipsaws significantly
Scientific Basis: Not curve-fitted or optimized to markets
Considerations:
Slight lag in extreme volatility (all filters have this)
Requires odd window sizes (mathematical requirement)
More complex than simple moving averages
Best with liquid instruments
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๐ฌ SCIENTIFIC BACKGROUND
Savitzky-Golay Publication:
"Smoothing and Differentiation of Data by Simplified Least Squares Procedures"
- Abraham Savitzky & Marcel Golay
- Analytical Chemistry, Vol. 36, No. 8, 1964
Hampel Filter Origin:
"Robust Statistics: The Approach Based on Influence Functions"
- Frank Hampel et al., 1986
- Princeton University Press
These techniques have been validated in thousands of scientific papers and are standard tools in:
NASA's Jet Propulsion Laboratory
European Space Agency
CERN (Large Hadron Collider)
MIT Lincoln Laboratory
Max Planck Institutes
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๐ก ADVANCED TIPS
News Trading: Lower Hampel threshold before major events to catch spikes
Scalping: Use Order=2 for maximum smoothness, Window=11 for responsiveness
Position Trading: Increase Window to 31+ for long-term trends
Combine with Volume: Strong trends need volume confirmation
Multiple Timeframes: Use daily for trend, hourly for entry
Watch the Derivative: Filter color changes when first derivative changes sign
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โ ๏ธ IMPORTANT NOTICES
Not financial advice - educational purposes only
Past performance does not guarantee future results
Always use proper risk management
Test settings on your specific instrument and timeframe
No indicator is perfect - part of complete trading system
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๐ CONCLUSION
The Savitzky-Golay Hampel Filter represents the pinnacle of scientific signal processing applied to financial markets. By combining polynomial regression with robust outlier detection, traders gain access to the same mathematical tools that:
Guide spacecraft to other planets
Detect gravitational waves from black holes
Analyze particle collisions at near light-speed
Process signals from deep space
This isn't just another indicator - it's rocket science for trading .
"When NASA needs to separate signal from noise in billion-dollar missions, they use these exact algorithms. Now you can too."
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Developed by AlphaNatt
Version: 1.0
Release: 2025
Pine Script: v6
"Where Space Technology Meets Market Analysis"
Not financial advice. Always DYOR
SMC Analysis - Fair Value Gaps (Enhanced)SMC Analysis - Fair Value Gaps (Enhanced) Script Summary
Overview
The "SMC Analysis - Fair Value Gaps (Enhanced)" script, written in Pine Script (version 6), is a technical analysis indicator designed for TradingView to identify and visualize Fair Value Gaps (FVGs) on a price chart. It supports both the main timeframe and multiple higher timeframes (MTF) for comprehensive market analysis. FVGs are price gaps formed by a three-candle pattern, indicating potential areas of market inefficiency where price may return to fill the gap.
Key Features
FVG Detection:
Identifies bullish FVGs: Occur when the high of a candle two bars prior is lower than the low of the current candle, with the middle candle being bullish (close > open).
Identifies bearish FVGs: Occur when the low of a candle two bars prior is higher than the high of the current candle, with the middle candle being bearish (close < open).
Visualizes FVGs as colored boxes on the chart (green for bullish, red for bearish).
Mitigation Tracking:
Tracks when FVGs are touched (price overlaps the gap range) or mitigated (price fully closes the gap).
Strict Mode: Marks an FVG as mitigated when price touches the gap range.
Normal Mode: Requires a full breakthrough (price crossing the gapโs bottom for bullish FVGs or top for bearish FVGs) for mitigation.
Optionally converts FVG box borders to dashed lines and increases transparency when partially touched.
Multi-Timeframe (MTF) Support:
Analyzes FVGs on three user-defined higher timeframes (default: 15m, 60m, 240m).
Displays MTF FVGs with distinct labels and slightly more transparent colors.
Ensures no duplicate processing of MTF bars to maintain performance.
Customization Options:
FVG Length: Adjustable duration for how long FVGs are displayed (default: 20 bars).
Show/Hide FVGs: Toggle visibility for main timeframe and each MTF.
Color Customization: User-defined colors for bullish and bearish FVGs (default: green and red).
Display Options: Toggle for showing dashed lines after partial touches and strict mitigation mode.
Performance Optimization:
Limits the number of displayed boxes (50 for main timeframe, 20 per MTF) to prevent performance issues.
Automatically removes older boxes to maintain a clean chart.
Functionality
Visualization: Draws boxes around detected FVGs, with customizable colors and text labels ("FVG" for main timeframe, "FVG " for MTF).
Dynamic Updates: Extends or terminates FVG boxes based on mitigation status and user settings.
Efficient Storage: Uses arrays to manage FVG data (boxes, tops, bottoms, indices, mitigation status, and touch status) separately for main and MTF analyses.
Use Case
This indicator is designed for traders using Smart Money Concepts (SMC) to identify areas of market inefficiency (FVGs) for potential price reversals or continuations. The MTF support allows analysis across different timeframes, aiding in confirming trends or spotting higher-timeframe support/resistance zones.
Smart Breadth [smartcanvas]Overview
This indicator is a market breadth analysis tool focused on the S&P 500 index. It visualizes the percentage of S&P 500 constituents trading above their 50-day and 200-day moving averages, integrates the McClellan Oscillator for advance-decline analysis, and detects various breadth-based signals such as thrusts, divergences, and trend changes. The indicator is displayed in a separate pane and provides visual cues, a summary label with tooltip, and alert conditions to highlight potential market conditions.
The tool uses data symbols like S5FI (percentage above 50-day MA), S5TH (percentage above 200-day MA), ADVN/DECN (S&P advances/declines), and optionally NYSE advances/declines for certain calculations. If primary data is unavailable, it falls back to calculated breadth from advance-decline ratios.
This indicator is intended for educational and analytical purposes to help users observe market internals. My intention was to pack in one indicator things you will only find in a few. It does not provide trading signals as financial advice, and users are encouraged to use it in conjunction with their own research and risk management strategies. No performance guarantees are implied, and historical patterns may not predict future market behavior.
Key Components and Visuals
Plotted Lines:
Aqua line: Percentage of S&P 500 stocks above their 50-day MA.
Purple line: Percentage of S&P 500 stocks above their 200-day MA.
Optional orange line (enabled via "Show Momentum Line"): 10-day momentum of the 50-day MA breadth, shifted by +50 for scaling.
Optional line plot (enabled via "Show McClellan Oscillator"): McClellan Oscillator, colored green when positive and red when negative. Can use actual scale or normalized to fit breadth percentages (0-100).
Horizontal Levels:
Dotted green at 70%: "Strong" level.
Dashed green at user-defined green threshold (default 60%): "Buy Zone".
Dashed yellow at user-defined yellow threshold (default 50%): "Neutral".
Dotted red at 30%: "Oversold" level.
Optional dotted lines for McClellan (when shown and not using actual scale): Overbought (red), Oversold (green), and Zero (gray), scaled to fit.
Background Coloring:
Green shades for bullish/strong bullish states.
Yellow for neutral.
Orange for caution.
Red for bearish.
Signal Shapes:
Rocket emoji (๐) at bottom for Zweig Breadth Thrust trigger.
Green circle at bottom for recovery signal.
Red triangle down at top for negative divergence warning.
Green triangle up at bottom for positive divergence.
Light green triangle up at bottom for McClellan oversold bounce.
Green diamond at bottom for capitulation signal.
Summary Label (Right Side):
Displays current action (e.g., "BUY", "HOLD") with emoji, breadth percentages with colored circles, McClellan value with emoji, market state, risk/reward stars, and active signals.
Hover tooltip provides detailed breakdown: action priority, breadth metrics, McClellan status, momentum/trend, market state, active signals, data quality, thresholds, recent changes, and a general recommendation category.
Calculations and Logic
Breadth Percentages: Derived from S5FI/S5TH or calculated from advances/(advances + declines) * 100, with fallback adjustments.
McClellan Oscillator: Difference between fast (default 19) and slow (default 39) EMAs of net advances (advances - declines).
Momentum: 10-day change in 50-day MA breadth percentage.
Trend Analysis: Counts consecutive rising days in breadth to detect upward trends.
Breadth Thrust (Zweig): 10-day EMA of advances/total issues crossing from below a bottom level (default 40) to above a top level (default 61.5). Can use S&P or NYSE data.
Divergences: Compares S&P 500 price highs/lows with breadth or McClellan over a lookback period (default 20) to detect positive (bullish) or negative (bearish) divergences.
Market States: Determined by breadth levels relative to thresholds, trend direction, and McClellan conditions (e.g., strong bullish if above green threshold, rising, and McClellan supportive).
Actions: Prioritized logic (0-10) selects an action like "BUY" or "AVOID LONGS" based on signals, states, and conditions. Higher priority (e.g., capitulation at 10) overrides lower ones.
Alerts: Triggered on new occurrences of key conditions, such as breadth thrust, divergences, state changes, etc.
Input Parameters
The indicator offers customization through grouped inputs, but the use of defaults is encouraged.
Usage Notes
Add the indicator to a chart of any symbol (though designed around S&P 500 data; works best on daily or higher timeframes). Monitor the label and tooltip for a consolidated view of conditions. Set up alerts for specific events.
This script relies on external security requests, which may have data availability issues on certain exchanges or timeframes. The fallback mechanism ensures continuity but may differ slightly from primary sources.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute investment advice, financial recommendations, or an endorsement of any trading strategy. Market conditions can change rapidly, and users should not rely solely on this tool for decision-making. Always perform your own due diligence, consult with qualified professionals if needed, and be aware of the risks involved in trading. The author and TradingView are not responsible for any losses incurred from using this script.
BTC/USD 3-Min Binary Prediction [v7.2 EN]BTC/USD 3-Minute Binary Prediction Indicator v7.2 - Complete Guide
Overview
This is an advanced technical analysis indicator designed for Bitcoin/USD binary options trading with 3-minute expiration times. The system aims for an 83% win rate by combining multiple analysis layers and pattern recognition.
How It Works
Core Prediction Logic
- Timeframe: Predicts whether BTC price will be ยฑ$25 higher (HIGH) or lower (LOW) after 3 minutes
- Entry Signals: Generates HIGH/LOW signals when confidence exceeds threshold (default 75%)
- Verification: Automatically tracks and displays win/loss statistics in real-time
5-Layer Filter System
The indicator uses a sophisticated scoring system (0-100 points):
1. Trend Filter (25 points) - Analyzes EMA alignments and price momentum
2. Leading Indicators (25 points) - RSI and MACD divergence analysis
3. Volume Confirmation (20 points) - Detects unusual volume patterns
4. Support/Resistance (15 points) - Identifies key price levels
5. Momentum Alignment (15 points) - Measures acceleration and deceleration
Pattern Recognition
Automatically detects and visualizes:
- Double Tops/Bottoms - Reversal patterns
- Triangles - Ascending, descending, symmetrical
- Channels - Trending price channels
- Candlestick Patterns - Engulfing, hammer, hanging man
Multi-Timeframe Analysis
- Uses 1-minute and 5-minute data for confirmation
- Aligns multiple timeframes for higher probability trades
- Monitors trend consistency across timeframes
Key Features
Display Panels
1. Statistics Panel (Top Right)
- Overall win rate percentage
- Hourly performance (wins/losses)
- Daily performance
- Current system status
2. Analysis Panel (Left Side)
- Market trend analysis
- RSI status (overbought/oversold)
- Volume conditions
- Filter scores for each component
- Final HIGH/LOW/WAIT decision
Visual Signals
- Green Triangle (โ) = HIGH prediction
- Red Triangle (โ) = LOW prediction
- Yellow Background = Entry opportunity
- Blue Background = Waiting for result
Configuration Options
Basic Settings
- Range Width: Target price movement (default $50 = ยฑ$25)
- Min Confidence: Minimum confidence to enter (default 75%)
- Max Daily Trades: Risk management limit (default 5)
Filters (Can be toggled on/off)
- Trend Filter
- Volume Confirmation
- Support/Resistance Filter
- Momentum Alignment
Display Options
- Show/hide signals, statistics, analysis
- Minimal Mode for cleaner charts
- EMA line visibility
Important Risk Warnings
Binary Options Trading Risks:
1. High Risk Product - Binary options are extremely risky and banned in many countries
2. Not Investment Advice - This tool is for educational/analytical purposes only
3. No Guaranteed Returns - Past performance doesn't predict future results
4. Capital at Risk - You can lose your entire investment in seconds
Technical Limitations:
- Requires stable internet connection
- Performance varies with market conditions
- High volatility can reduce accuracy
- Not suitable for news events or low liquidity periods
Best Practices
1. Paper Trade First - Test thoroughly on demo accounts
2. Risk Management - Never risk more than 1-2% per trade
3. Market Conditions - Works best in normal volatility conditions
4. Avoid Major Events - Don't trade during major news releases
5. Monitor Performance - Track your actual results vs displayed statistics
Setup Instructions
1. Add to TradingView chart (BTC/USD preferred)
2. Use 30-second or 1-minute chart timeframe
3. Adjust settings based on your risk tolerance
4. Monitor F-Score (should be >65 for entries)
5. Wait for clear HIGH/LOW signals with high confidence
Alert Configuration
The indicator provides three alert types:
- HIGH Signal alerts
- LOW Signal alerts
- General entry opportunity alerts
Legal Disclaimer
Binary options trading may not be legal in your jurisdiction. Many countries including the USA, Canada, and EU nations have restrictions or outright bans on binary options. Always check local regulations and consult with financial advisors before trading.
Remember: This is a technical analysis tool, not a money-printing machine. Successful trading requires discipline, risk management, and continuous learning. The displayed statistics are historical and don't guarantee future performance.
