Auto Fractal [theUltimator5]This indicator is what I call the Auto Fractal. It is a unique algorithm that looks back in time, finds a segment on the chart that closest matches the recent price action, then projects the price forwards. It effectively finds chart patterns and shows you what the price did the last time the same/similar chart pattern was observed.
Creating an algorithm to match abstract curves to other abstract curves and provide a confidence score was the fundamental problem that needed to be solved in order to create this indicator, which curve matches with surprising accuracy.
The most effective method to "curve match" that I found is the Pearson Coefficient, set by a segment length and a lookback period. After the highest coefficient curve is located, the curve then gets scaled and offset to match the current price.
The past segment is drawn over the current price (orange line), giving a visualization of the two curves and how closely they match each other. The indicator then projects the price forwards in time based on the price action of the chart from the historical segment (dashed fuchsia line).
A bounding box also gets drawn around the historical segment to give you a clear visual of where the price is getting pulled from for proper analysis and ease of use.
The Pearson Coefficient % is shown in a table in the top right-hand corner of the chart and can be toggled off if desired. The values range from -100% (perfectly inverse correlation) to +100% (perfectly correlated) with 0 meaning no correlation whatsoever. The closer to +100% the value is, the better the segment match.
As with most/all of my indicators, user interface and simplicity was at the top of my priority list. I designed this to be easily readable and intuitive to both novice and veteran traders, without cluttering the chart.
Note:
This indicator is extremely heavy in terms of memory usage due to nested for loops, and takes several seconds to initially load the chart overlay. If the lookback period is increased too high (>600) then the indicator may time out and fail to load anything. If nothing loads on the chart, try reducing the lookback length and wait up to 10 seconds for lines to appear.
Indicatori e strategie
ROE % Quarterly By COLDMONEYReturn on Equity % By ColdMoney
this indicator use for check % Equity of stock
Price Level Linesthis is how we do it with these levels at these 100s. ben frank game is going down in my town and now your town too
System 0530 - Stoch RSI 指标 (带ATR)Indicator Overview: System 0530 - Stoch RSI Signals (ATR Filtered)
This indicator displays potential long and short signals directly on your chart. It combines a dual-timeframe Stochastic RSI analysis (using the current chart timeframe and the 15-minute timeframe) with an ATR (Average True Range) volatility filter.
Signal Logic:
Initial Trigger: Based on Stochastic RSI crossovers and overbought/oversold levels on the current chart timeframe (e.g., 5-minute).
Confirmation: Seeks further confirmation from the 15-minute Stochastic RSI.
ATR Filter: An optional ATR filter helps ensure signals are considered only when market volatility is deemed sufficient.
Signal Cooldown: Prevents too many signals of the same direction in rapid succession.
Display:
Long Signals: Marked with a green upward triangle below the price bar.
Short Signals: Marked with a red downward triangle above the price bar.
Purpose: Designed to assist traders in identifying potential entry points based on Stochastic RSI conditions and market volatility. Users can adjust various parameters to suit different instruments and trading strategies.
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter
Overview:
This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals.
How It Works:
1. Signal Initiation (e.g., 5-Minute Timeframe):
Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30).
Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe.
2. Signal Confirmation (15-Minute Timeframe):
Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars).
Long Confirmation:
The 15-minute Stochastic RSI %K must be greater than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40).
Short Confirmation:
The 15-minute Stochastic RSI %K must be less than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60).
3. Filters:
ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold.
Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading.
4. Entry and Exit Logic:
Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met.
Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script.
Key User-Adjustable Parameters:
Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing.
Signal Trigger & Confirmation:
5-minute %K trigger levels for long and short.
15-minute %K confirmation thresholds for long and short.
Wait window (in 5-minute bars) for 15-minute confirmation.
Filters:
Enable/disable and configure the Signal Cooldown filter (minimum bars between signals).
Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks).
Strategy Parameters:
Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks).
Recommendations for Users:
Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade.
Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions.
Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals.
Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable.
Disclaimer:
This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Trend Regime with MA & Volatility✅ Trend signal combining: Price (MA), Momentum (RSI), Volatility (ATR)
✅ Bullish = Green background
✅ Neutral = Yellow background
✅ Bearish = Red background
✅ Fast/Slow MA + ATR plots
✅ Entry signal arrows
Trend Regime BackgroundGreen Background → Strong bullish signal across trend, momentum, and volatility.
Yellow Background → Neutral regime (mixed signals).
Red Background → Bearish trend with weakening momentum and rising risk.
Multi-Timeframe Horizontal LinesMulti-Timeframe Horizontal Lines - User Guide
This indicator draws horizontal support/resistance lines based on opening prices at specific New York times, regardless of your chart's timezone.
How to Use:
Enter up to 4 custom times in NY timezone using HH:MM format (e.g., "09:30", "14:00", "20:00")
Lines automatically capture the opening price when each specified time hits
Toggle the After-Hours Day Open line (6 PM NY start) on/off as needed
Key Features:
Evening Times (16:00-23:59): Lines extend overnight until next day 3:59 PM NY
Morning/Day Times (00:00-15:59): Lines extend until same day 3:59 PM NY
Timezone Independent: Always uses NY time regardless of chart timezone
Clean Visualization: Lines appear with breaks during inactive periods
Perfect For:
Marking key session opens (Asian, London, NY)
Tracking overnight levels and gaps
Setting reference levels that persist across trading sessions
Simply input your desired NY times and let the indicator automatically manage when lines appear and disappear based on market sessions.
abusuhil bullish breakAbusuhil Bullish Break is a price action-based confirmation tool that identifies a bullish reversal pattern consisting of:
Two consecutive bearish candles followed by
A strong bullish candle that closes above the high of both.
The script includes:
Optional dual MACD filter (current timeframe + higher timeframe)
Configurable stop-loss and multiple take-profit levels
Visual lines for targets and stop
Custom styling for all elements
It’s a clean, logic-driven entry confirmation tool for intraday and swing trading.
⚠️ Open-source and fully customizable.
مؤشر Abusuhil Bullish Break هو أداة تأكيد لانعكاسات الاتجاه الصاعد بناءً على حركة السعر (Price Action)، ويكتشف نموذجًا يتكون من:
شمعتين هابطتين متتاليتين
تتبعهما شمعة صاعدة قوية تغلق فوق أعلى الشمعتين السابقتين
يحتوي المؤشر على:
فلتر MACD مزدوج اختياري (للفريم الحالي وفريم أعلى)
إعدادات مخصصة للوقف والأهداف المتعددة
خطوط مرئية احترافية للأهداف والوقف
تحكم كامل في الألوان والنمط والعرض
مناسب للتداول اللحظي والسوينج.
✅ مفتوح المصدر وقابل للتعديل بالكامل.
NDOG & NWOG Indicatorndicator automatically identifies and displays New Day Opening Gaps (NDOG) and New Week Opening Gaps (NWOG) directly on your chart. It focuses on gaps based on specific session times in the New York (NY) timezone.
Key Features:
NDOG: Identifies the gap between the NY 4:59 PM (daily close) and the NY 6:00 PM (daily open).
NWOG: Identifies the gap between the Friday NY 4:59 PM (weekly close) and the Sunday NY 6:00 PM (weekly open).
Draws customizable lines for the high and low levels of each gap.
Option to show an additional mid-level line for each gap.
Includes options for line colors, styles, and width.
Allows filtering gaps by a minimum size.
Control the maximum number of recent NDOGs and NWOGs displayed.
Optionally shows text labels on the lines and a summary table on the chart.
This tool can help traders visualize potential areas of interest related to these specific opening gaps.
Note: Calculations are based on the "America/New_York" timezone.
Disclaimer: Trading involves risk and may not be suitable for all investors. This indicator is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to trade. Use at your own risk.
Strict Break + Supertrend + Cooldown + AlertsI created this through Chat gpt. I am not a coder but i wanted to make this indicator because i couldnt find what i was looking for.
What this indicator does is print signals of engulfing candles with adjustable body size. I added a lookback period so you can filter out repeated signals. i added the supertrend filter to print only the proper signals of the current trend.
Last Week's APM & Daily % Move(Corrected)Last Week's Average Price Movement + Daily Percentage Move (based on NY time)
This indicator accurately displays last week's Average Pip Movement (APM) consistently across all timeframes and tracks the true daily percentage move relative to that APM in a clear table in the top-right corner.
Key Features:
-Consistent Last Week's APM: Calculates the average pip movement from Monday to Friday of the previous trading week (based on daily wick-to-wick ranges, divided by 5). This APM value is now stable and the same across all chart timeframes.
-Accurate Live Daily % Move: Tracks the maximum percentage the price has moved (either up or down) since the 5 PM New York time daily open, compared to last week's APM. The percentage holds the maximum value reached during the day and resets at the next 5 PM NY open.
-NY Time Alignment: All time-based calculations are aligned with the New York time zone
Pip Adjustment: Automatically adjusts for JPY pairs.
⚠️ Important: For the intended display and relevance of the daily percentage move, this indicator is best used on timeframes 4-hour and under. On Daily and Weekly timeframes, the APM display will show a message indicating this.
We hope this indicator enhances your trading analysis.
200MA + MACD + 成交量放量警報🚀 200MA + MACD 金叉 + 成交量放量警報指標 🔥
簡介：
全幣種通用合約日內神器！
結合 200MA 均線趨勢判斷、MACD 金叉死叉動能確認，再搭配 成交量放量過濾假突破，有效提升入場勝率！
支援警報通知，自動提醒多空訊號。
👉 喜歡記得按 ❤️ 收藏，開圖表通知 🔔
🚀 200MA + MACD Golden Cross + Trading Volume Alert Indicator 🔥
Introduction:
A universal tool for all currencies for intraday contracts!
Combined with 200MA moving average trend judgment, MACD Golden Cross and Dead Cross kinetic energy confirmation, and combined with trading volume to filter false breakthroughs, it effectively improves the entry success rate!
Supports alarm notifications and automatically reminds long and short signals.
👉 If you like it, remember to press ❤️ to collect it and open the chart notification 🔔
Big_RSI_EMA_FibStrategy Name: Big Candle + RSI + EMA + Fibonacci
This Pine Script strategy combines multiple indicators and price action logic to generate long and short trading signals. It includes:
🔧 Inputs
RSI Period – default: 14 (Relative Strength Index to identify overbought/oversold conditions).
EMA Period – default: 50 (Exponential Moving Average for trend confirmation).
Fibonacci Retracement – default: 0.618 (used to identify pullback zones after a big candle).
Minimum Body Size % – default: 1.5% (the minimum percentage of candle body relative to full range to qualify as a "big candle").
📈 Indicators Used
RSI: Filters overbought/oversold conditions.
EMA (50): Confirms trend direction.
Big Candle Detection: Candles with body size greater than a specified percentage of their full range.
Fibonacci Levels: A retracement level (default 61.8%) is calculated from the body of the big candle.
✅ Long Entry Conditions
Big bullish candle (close > open)
Body size greater than threshold
RSI is below 70
Price is above EMA(50)
❌ Short Entry Conditions
Big bearish candle (close < open)
Body size greater than threshold
RSI is above 30
Price is below EMA(50)
🎯 Strategy Actions
Enters long or short positions based on the above conditions.
On each entry, a horizontal line is drawn at the entry price (close) and extended forward for 3 bars to visually mark the trade level.
Green line for long entries.
Red line for short entries.
📐 Visual Elements
EMA line (orange)
Buy/Sell Labels: Up/down labels on the chart at entry points.
Fibonacci Level (purple): Retracement level based on the big candle.
Horizontal Trade Lines: Lines marking the entry price for quick visual tracking.
⏱️ Multi-Timeframe Data
Fetches high/low from:
5-minute chart
1-hour chart
(Prepared for potential additional filtering or breakout logic.)
Michael's EMA - Original with 200 EMA Filter
This indicator plots a 12-period EMA and a 21-period EMA on the chart, coloring them green when the short EMA is above the long EMA (uptrend) and red when below (downtrend). A signal is generated whenever the 12 EMA crosses the 21 EMA (either upward or downward), indicating a potential trend change. The signal is displayed as a yellow vertical line with a "CROSS" label above the candle. A 200-period EMA is plotted for reference but does not affect the signal. A single "Crossing" alert condition is provided to notify when the 12 EMA crosses the 21 EMA.
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \
\Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\Calculation\
\
\ \Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\Interpretation\
\
\ \Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\Usage Notes & Warnings\
\
\ \Never Use DI in Isolation\
It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \Parameter Selection\
• \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing.
• \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
EMA flow trend buy AnhDuong🎯 1. Indicator Purpose
This indicator combines:
BUY/SELL signals based on crossovers between EMA and LWMA (with some noise filtering).
A multi-timeframe dashboard (M1 → H4) showing trend direction using EMA34 and EMA89.
📈 2. Crossover Signal Logic
BUY signal occurs when:
text
Sao chép
Chỉnh sửa
EMA89 < EMA34 (Bullish crossover)
LWMA45 > EMA34 (Price is rising above the fast EMA)
LWMA45 < EMA89 (Price hasn't broken the long EMA yet)
➡️ Meaning: A bullish move is forming (early stage) → potential entry point.
SELL signal occurs when:
text
Sao chép
Chỉnh sửa
EMA89 > EMA34 (Bearish crossover)
LWMA45 < EMA34 (Price is below the fast EMA)
LWMA45 > EMA89 (Price hasn't broken the long EMA downward)
➡️ Meaning: A bearish move is forming → possible short setup.
📊 3. Multi-Timeframe Dashboard
This dashboard shows trend direction using EMA34 vs EMA89:
UP: EMA34 > EMA89 → uptrend
DOWN: EMA34 < EMA89 → downtrend
Example:
makefile
Sao chép
Chỉnh sửa
DASHBOARD (EMA34/89)
M1: DOWN
M5: DOWN
M15: UP
H1: UP
H4: UP
🟢 Recommended strategy:
BUY when most timeframes show UP
SELL when most timeframes show DOWN
Avoid trades if the trend is mixed (e.g., M1 says UP but H1 says DOWN)
📌 4. Suggested Strategy
For Scalping (e.g., on M5):
Ensure that H1 and H4 are aligned with your direction.
Wait for a BUY/SELL signal on M5.
Check the Dashboard to confirm higher-timeframe trend agreement.
⚠️ 5. Important Notes
Don’t rely solely on BUY/SELL signals — always confirm with the Dashboard.
Consider adding RSI, Bollinger Bands, or SMC levels to improve filtering.
Avoid trading during choppy or sideways conditions — frequent EMA crossovers = many false signals.
6MA Fill Indicator MTF (Paired, SMA/EMA Selectable)6MA Fill Indicator MTF（移動平均ペア塗り分けインジケーター）
This indicator displays 3 customizable pairs of moving averages (MA), each on any selectable timeframe and type (SMA or EMA), with fill coloring to visually indicate trend direction between short and long MA within each pair.
このインジケーターは、最大3ペア（計6本）の移動平均線を異なる時間軸と種類（SMAまたはEMA）で表示し、ペア間を色で塗り分けることで、トレンドバイアスの視認性を向上させます。
Features / 機能説明
3 MA pairs configurable individually
(type, length, timeframe for each MA)
3つのMAペアそれぞれに対し、期間・種類・時間軸を個別に設定可能
Color fill between each MA pair
Blue fill if short MA > long MA (bullish bias)
Red fill if short MA < long MA (bearish bias)
各ペア内で短期MAが長期MAを上回ると青、下回ると赤で塗りつぶし表示
Multi-timeframe support
任意の時間足（MTF）に対応し、中長期のトレンド認識に有効
Use Cases / 主な用途
Multi-timeframe trend alignment
複数時間軸でのトレンド整合性確認
Trend-following strategy support
トレンドフォロー系戦略の補助
Quick visual market context recognition
トレンド環境の視覚的な高速把握
Prev Candle Before Biggest Body (3-7am EST)This indicator automatically identifies and marks, for each trading day, the candle immediately preceding the largest open-to-close movement (in pips) during the key London session window from 3:00am to 7:00am EST (New York time). The largest candle is determined by the absolute difference between its open and close prices, measured in pips. The candle just before this “biggest” move is highlighted with a distinctive pink flag above the bar. This tool is especially useful for traders seeking to analyze pre-breakout price action or to identify key levels and setups that occur right before significant volatility during the early London session.
