Heiken Ashi Colors - Classic Candles ModificationDo you want to use Heiken Ashi candles but you prefer seeing the true prices and range of the normal candles? Here's the fix.
This simple indicator recolors the body of the bars to match the Heiken Ashi calculations. The borders and wicks will remain the same as the classic candles, but the body will reflect the Heiken Ashi trend.
As a bonus, I have added "Bullish" and "Bearish" candle identifiers, currently using aqua and purple, to show Heiken Ashi bullish candles with no lower shadow (aqua) and Heiken Ashi bearish candles with no upper shadow (purple).
I hope you find this useful.
Göstergeler ve stratejiler
Time Zone (UTC Aligned)Description: Time Zone (UTC Aligned) Session Highlighter
This indicator highlights a specific time window based on UTC time, allowing you to visualize consistent trading sessions across multiple assets — regardless of the exchange's local time zone.
Perfect for traders who:
Use the same strategy/session across different markets (e.g., NY session, London Open)
Trade multiple assets from exchanges with different time zones (e.g., Binance, OANDA, NYSE)
Want consistency when analyzing or backtesting global session-based strategies
🔧 Features:
Customizable start and end time in UTC
Clean background highlight during session
Works seamlessly across all symbols and timeframes
🕒 Example Use Cases:
Highlighting the London session (07:00–10:00 UTC)
Focusing on New York Open (13:30–16:00 UTC)
Identifying overlap zones or low-liquidity periods
EMA Crossover (20 & 50)Plots 20 EMA (orange) and 50 EMA (blue)
Highlights buy signals when the 20 crosses above the 50
Highlights sell signals when the 20 crosses below the 50
Tao of Trading Moving AveragesFrom the Tao Of Trading by Simon Ree
He uses a rainbow of colors because his kids like it, so this fills them in a very visually appealing wave like rainbow using Ree's Moving Averages:
8 EMA
21 EMA
34 EMA
50 SMA
100 SMA
200 SMA
Greer Value Yields Dashboard🧾 Greer Value Yields Dashboard – v1.0
Author: Sean Lee Greer
Release Date: June 22, 2025
🧠 Overview
The Greer Value Yields Dashboard visualizes and evaluates four powerful valuation metrics for any publicly traded company:
📘 Earnings per Share Yield
💵 Free Cash Flow Yield
💰 Revenue Yield
🏦 Book Value Yield
Each yield is measured as a percentage of current stock price and compared against its historical average. The script assigns 1 point per metric when the current yield exceeds its long-term average. The total score (0 to 4) is displayed as a color-coded column chart, helping long-term investors quickly assess fundamental valuation strength.
✅ Key Features
📊 Real-time calculation of 4 yield-based valuation metrics
⚖ Historical average tracking for each yield
🎯 Visual scoring system:
🟥 0–1 = Weak
🟨 2 = Neutral
🟩 4 = Strong (all metrics above average)
🎛️ Toggle visibility of each yield independently
🧮 Fully compatible with other Greer Financial Toolkit indicators
🛠 Ideal For
Long-term value investors
Dividend and cash-flow-focused investors
Analysts seeking clean yield visualizations
Greer Toolkit users combining with Greer Value and BuyZone
SIP Evaluator and Screener [Trendoscope®]The SIP Evaluator and Screener is a Pine Script indicator designed for TradingView to calculate and visualize Systematic Investment Plan (SIP) returns across multiple investment instruments. It is tailored for use in TradingView's screener, enabling users to evaluate SIP performance for various assets efficiently.
🎲 How SIP Works
A Systematic Investment Plan (SIP) is an investment strategy where a fixed amount is invested at regular intervals (e.g., monthly or weekly) into a financial instrument, such as stocks, mutual funds, or ETFs. The goal is to build wealth over time by leveraging the power of compounding and mitigating the impact of market volatility through disciplined, consistent investing. Here’s a breakdown of how SIPs function:
Regular Investments : In an SIP, an investor commits to investing a fixed sum at predefined intervals, regardless of market conditions. This consistency helps inculcate a habit of saving and investing.
Cost Averaging : By investing a fixed amount regularly, investors purchase more units when prices are low and fewer units when prices are high. This approach, known as dollar-cost averaging, reduces the average cost per unit over time and mitigates the risk of investing a large amount at a peak price.
Compounding Benefits : Returns generated from the invested amount (e.g., capital gains or dividends) are reinvested, leading to exponential growth over the long term. The longer the investment horizon, the greater the potential for compounding to amplify returns.
Dividend Reinvestment : In some SIPs, dividends received from the underlying asset can be reinvested to purchase additional units, further enhancing returns. Taxes on dividends, if applicable, may reduce the reinvested amount.
Flexibility and Accessibility : SIPs allow investors to start with small amounts, making them accessible to a wide range of individuals. They also offer flexibility in terms of investment frequency and the ability to adjust or pause contributions.
In the context of the SIP Evaluator and Screener , the script simulates an SIP by calculating the number of units purchased with each fixed investment, factoring in commissions, dividends, taxes and the chosen price reference (e.g., open, close, or average prices). It tracks the cumulative investment, equity value, and dividends over time, providing a clear picture of how an SIP would perform for a given instrument. This helps users understand the impact of regular investing and make informed decisions when comparing different assets in TradingView’s screener. It offers insights into key metrics such as total invested amount, dividends received, equity value, and the number of installments, making it a valuable resource for investors and traders interested in understanding long-term investment outcomes.
🎲 Key Features
Customizable Investment Parameters: Users can define the recurring investment amount, price reference (e.g., open, close, HL2, HLC3, OHLC4), and whether fractional quantities are allowed.
Commission Handling: Supports both fixed and percentage-based commission types, adjusting calculations accordingly.
Dividend Reinvestment: Optionally reinvests dividends after a user-specified period, with the ability to apply tax on dividends.
Time-Bound Analysis: Allows users to set a start year for the analysis, enabling historical performance evaluation.
Flexible Dividend Periods: Dividends can be evaluated based on bars, days, weeks, or months.
Visual Outputs: Plots key metrics like total invested amount, dividends, equity value, and remainder, with customizable display options for clarity in the data window and chart.
🎲 Using the script as an indicator on Tradingview Supercharts
In order to use the indicator on charts, do the following.
Load the instrument of your choice - Preferably a stable stocks, ETFs.
Chose monthly timeframe as lower timeframes are insignificant in this type of investment strategy
Load the indicator SIP Evaluator and Screener and set the input parameters as per your preference.
Indicator plots, investment value, dividends and equity on the chart.
🎲 Visualizations
Installments : Displays the number of SIP installments (gray line, visible in the data window).
Invested Amount : Shows the cumulative amount invested, excluding reinvested dividends (blue area plot).
Dividends : Tracks total dividends received (green area plot).
Equity : Represents the current market value of the investment based on the closing price (purple area plot).
Remainder : Indicates any uninvested cash after each installment (gray line, visible in the data window).
🎲 Deep dive into the settings
The SIP Evaluator and Screener offers a range of customizable settings to tailor the Systematic Investment Plan (SIP) simulation to your preferences. Below is an explanation of each setting, its purpose, and how it impacts the analysis:
🎯 Duration
Start Year (Default: 2020) : Specifies the year from which the SIP calculations begin. When Start Year is enabled via the timebound option, the script only considers data from the specified year onward. This is useful for analyzing historical SIP performance over a defined period. If disabled, the script uses all available data.
Timebound (Default: False) : A toggle to enable or disable the Start Year restriction. When set to False, the SIP calculation starts from the earliest available data for the instrument.
🎯 Investment
Recurring Investment (Default: 1000.0) : The fixed amount invested in each SIP installment (e.g., $1000 per period). This represents the regular contribution to the SIP and directly influences the total invested amount and quantity purchased.
Allow Fractional Qty (Default: True) : When enabled, the script allows the purchase of fractional units (e.g., 2.35 shares). If disabled, only whole units are purchased (e.g., 2 shares), with any remaining funds carried forward as Remainder. This setting impacts the precision of investment allocation.
Price Reference (Default: OPEN): Determines the price used for purchasing units in each SIP installment. Options include:
OPEN : Uses the opening price of the bar.
CLOSE : Uses the closing price of the bar.
HL2 : Uses the average of the high and low prices.
HLC3 : Uses the average of the high, low, and close prices.
OHLC4 : Uses the average of the open, high, low, and close prices. This setting affects the cost basis of each purchase and, consequently, the total quantity and equity value.
🎯 Commission
Commission (Default: 3) : The commission charged per SIP installment, expressed as either a fixed amount (e.g., $3) or a percentage (e.g., 3% of the investment). This reduces the amount available for purchasing units.
Commission Type (Default: Fixed) : Specifies how the commission is calculated:
Fixed ($) : A flat fee is deducted per installment (e.g., $3).
Percentage (%) : A percentage of the investment amount is deducted as commission (e.g., 3% of $1000 = $30). This setting affects the net amount invested and the overall cost of the SIP.
🎯 Dividends
Apply Tax On Dividends (Default: False) : When enabled, a tax is applied to dividends before they are reinvested or recorded. The tax rate is set via the Dividend Tax setting.
Dividend Tax (Default: 47) : The percentage of tax deducted from dividends if Apply Tax On Dividends is enabled (e.g., 47% tax reduces a $100 dividend to $53). This reduces the amount available for reinvestment or accumulation.
Reinvest Dividends After (Default: True, 2) : When enabled, dividends received are reinvested to purchase additional units after a specified period (e.g., 2 units of time, defined by Dividends Availability). If disabled, dividends are tracked but not reinvested. Reinvestment increases the total quantity and equity over time.
Dividends Availability (Default: Bars) : Defines the time unit for evaluating when dividends are available for reinvestment. Options include:
Bars : Based on the number of chart bars.
Weeks : Based on weeks.
Months : Based on months (approximated as 30.5 days). This setting determines the timing of dividend reinvestment relative to the Reinvest Dividends After period.
🎯 How Settings Interact
These settings work together to simulate a realistic SIP. For example, a $1000 recurring investment with a 3% commission and fractional quantities enabled will calculate the number of units purchased at the chosen price reference after deducting the commission. If dividends are reinvested after 2 months with a 47% tax, the script fetches dividend data, applies the tax, and adds the net dividend to the investment amount for that period. The Start Year and Timebound settings ensure the analysis aligns with the desired timeframe, while the Dividends Availability setting fine-tunes dividend reinvestment timing.
By adjusting these settings, users can model different SIP scenarios, compare performance across instruments in TradingView’s screener, and gain insights into how commissions, dividends, and price references impact long-term returns.
🎲 Using the script with Pine Screener
The main purpose of developing this script is to use it with Tradingview Pine Screener so that multiple ETFs/Funds can be compared.
In order to use this as a screener, the following things needs to be done.
Add SIP Evaluator and Screener to your favourites (Required for it to be added in pine screener)
Create a watch list containing required instruments to compare
Open pine screener from Tradingview main menu Products -> Screeners -> Pine or simply load the URL - www.tradingview.com
Select the watchlist created from Watchlist dropdown.
Chose the SIP Evaluator and Screener from the "Choose Indicator" dropdown
Set timeframe to 1 month and update settings as required.
Press scan to display collected data on the screener.
🎲 Use Case
This indicator is ideal for educational purposes, allowing users to experiment with SIP strategies across different instruments. It can be applied in TradingView’s screener to compare SIP performance for stocks, ETFs, or other assets, helping users understand how factors like commissions, dividends, and price references impact returns over time.
Gap % Distribution Table (2% Bins)Description
This indicator displays a Gap % Distribution Table categorized in 2% bins ranging from `< -20%` to `> +20%`. It calculates the gap between today’s open and the previous day’s close, and groups occurrences into defined bins. The table includes:
Gap range, count, and percentage for each bin
A total row summarizing all entries
Customizable appearance including:
Font color, cell background fill (with transparency), and table border color
Column headers and full outer border
Date filtering using selectable start and end dates
Position control for placing the table on the chart area
Ideal for analyzing the historical behavior of opening gaps for any instrument.
FMT by C.ball [XAUUSD Version]// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © 2025 Ball Goldricher - For XAUUSD
//@version=5
indicator("FMT by C.ball ", shorttitle="FMT-XAU", overlay=true)
// === Moving Averages ===
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
// === Cross Logic ===
crossUp = ta.crossover(close, ema20)
crossDown = ta.crossunder(close, ema20)
// === Persistent Counters ===
var int upCount = 0
var int downCount = 0
// === Count Crosses ===
if crossUp
upCount := upCount + 1
if crossDown
downCount := downCount + 1
// === Entry Signals on 2nd Cross + EMA50 Filter ===
buySignal = crossUp and upCount == 2 and close > ema50
sellSignal = crossDown and downCount == 2 and close < ema50
// === Show Buy/Sell Labels on Chart ===
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Reset Counters after Entry ===
if buySignal or sellSignal
upCount := 0
downCount := 0
// === Show EMA Lines for Reference ===
plot(ema20, color=color.orange, title="EMA 20")
plot(ema50, color=color.blue, title="EMA 50")
Relative Strength Index (RSI)Key Components in the Script:
rsiLength: The number of periods used in the RSI calculation (default is 14).
rsiSource: The price source (typically close) used for calculations.
ta.rsi(...): TradingView’s built-in RSI function.
plot(...): Draws the RSI line on the chart.
hline(...): Horizontal lines at 70 (overbought), 30 (oversold), and 50 (neutral).
Average Candle Length TrendlineI developed an interesting indicator and share it with you. Generally, when the price goes up, the price movement within each minute will be large, and vice versa. Based on that, I created an indicator that averages the trend of candle length and displays it as a line. In order to display it on the screen, I adjusted it to change around the 200-day moving average. It will be a very useful long-short reference line. Based on this line, if the candle goes above this line, the candle length generally starts to get longer, so if you only hit longs, and if it goes below that, you will see a very high winning rate.
HH/LL ZigZag with S/R, EMA, FVG//@version=5
indicator('HH/LL + EMA + FVG с Надписи', overlay = true, max_lines_count = 500, max_labels_count = 500)
// === INPUTS ===
zigzagLen = input.int(10, 'ZigZag Period', minval = 1)
sourceType = input.string('High/Low', 'Source', options = )
showZigzag = input.bool(true, 'Show ZigZag')
showHHLL = input.bool(true, 'Show HH/LL')
showSR = input.bool(true, 'Show Support/Resistance')
changeColorSR = input.bool(true, 'Change Bar Color if S/R Broken')
showFVG = input.bool(true, "Show FVG Zones with Labels")
// === EMA SETTINGS ===
showEMA = input.bool(true, "Show EMAs")
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
plot(showEMA ? ema20 : na, color=color.orange, title="EMA 20", linewidth=1)
plot(showEMA ? ema50 : na, color=color.blue, title="EMA 50", linewidth=1)
plot(showEMA ? ema200 : na, color=color.purple, title="EMA 200", linewidth=2)
// === ZIGZAG POINTS ===
isHigh = sourceType == 'High/Low' ? high == ta.highest(high, zigzagLen) : close == ta.highest(close, zigzagLen)
isLow = sourceType == 'High/Low' ? low == ta.lowest(low, zigzagLen) : close == ta.lowest(close, zigzagLen)
var float lastPivotHigh = na
var float lastPivotLow = na
var int lastHighIndex = na
var int lastLowIndex = na
if isHigh
if not na(lastPivotLow) and showZigzag
line.new(lastLowIndex, lastPivotLow, bar_index, high, color=color.green, width=2)
lastPivotHigh := high
lastHighIndex := bar_index
if showHHLL
if na(lastPivotHigh ) or high > lastPivotHigh
label.new(bar_index, high, 'HH', style=label.style_label_down, color=color.green, textcolor=color.white)
else
label.new(bar_index, high, 'LH', style=label.style_label_down, color=color.red, textcolor=color.white)
if isLow
if not na(lastPivotHigh) and showZigzag
line.new(lastHighIndex, lastPivotHigh, bar_index, low, color=color.red, width=2)
lastPivotLow := low
lastLowIndex := bar_index
if showHHLL
if na(lastPivotLow ) or low > lastPivotLow
label.new(bar_index, low, 'HL', style=label.style_label_up, color=color.green, textcolor=color.white)
else
label.new(bar_index, low, 'LL', style=label.style_label_up, color=color.red, textcolor=color.white)
// === SUPPORT / RESISTANCE LEVELS ===
var float supportLevel = na
var float resistanceLevel = na
if isLow and showSR
supportLevel := low
line.new(bar_index, supportLevel, bar_index + 10, supportLevel, extend=extend.right, color=color.green, style=line.style_dashed)
if isHigh and showSR
resistanceLevel := high
line.new(bar_index, resistanceLevel, bar_index + 10, resistanceLevel, extend=extend.right, color=color.red, style=line.style_dashed)
// === BAR COLOR IF S/R BROKEN ===
barcolor(changeColorSR and not na(resistanceLevel) and close > resistanceLevel ? color.lime :
changeColorSR and not na(supportLevel) and close < supportLevel ? color.fuchsia :
na)
// === FVG ===
if showFVG
// Bullish FVG: Low > High
if bar_index > 2 and low > high
box.new(left=bar_index - 2, right=bar_index, top=low , bottom=high,
bgcolor=color.new(color.green, 85), border_color=color.green)
label.new(x=bar_index, y=low , text="Bullish FVG", style=label.style_label_up, textcolor=color.white, color=color.green)
// Bearish FVG: High < Low
if bar_index > 2 and high < low
box.new(left=bar_index - 2, right=bar_index, top=high , bottom=low,
bgcolor=color.new(color.red, 85), border_color=color.red)
label.new(x=bar_index, y=high , text="Bearish FVG", style=label.style_label_down, textcolor=color.white, color=color.red)
Market Regime Detector (1D RSI/ATR/MA) - Weekly ConsensusMarket Regime Detector (1D RSI/ATR/MA) — Weekly Consensus
© Łukasz Wędel
🎯 Purpose
This indicator analyzes daily (1D) price data to determine the current market regime — Bullish , Bearish , or Choppy — and displays it on an intraday chart (e.g., 1H).
It acts as a higher‑timeframe trend filter, making trend‑following or range‑trading strategies more robust.
⚡️ How It Works
RSI + ATR Method: Bullish if RSI > Bull Threshold and ATR > Threshold; Bearish if RSI < Bear Threshold and ATR > Threshold; Choppy if RSI is between thresholds and ATR <= Threshold
Moving Averages Method: Bullish if Short‑term MA > Long‑term MA, Bearish if Short‑term MA < Long‑term MA, Choppy if MAs are neutral
Final Regime Decision: Final regime is confirmed if the same state occurs in 5 out of the last 7 daily bars
🕓 Timeframe Compatibility
Works best when applied to a 1H chart (or any intraday timeframe). RSI, ATR, and MA calculations are sourced from the 1D timeframe .
🎨 Visual Output
Green background: Final regime is Bullish
Red background: Final regime is Bearish
Yellow background: Final regime is Choppy
🚨 Alerts
Three alert conditions available:
Final Bull Regime
Final Bear Regime
Final Chop Regime
✅ Why Use This?
Provides a higher‑level trend context for lower‑timeframe trading
Reduces noise by focusing only on confirmed trend regimes
Supports trend‑following and range‑trading strategies
🔥 Ideal For
Swing traders relying on trend and volatility confirmation
Day traders seeking trend context from higher timeframes
Algorithmic strategies that benefit from higher‑level trend filtering
Binance OI Stochastic MFIibb.co Binance Open Interest Stochastic Money Flow Index (OI Stochastic MFI)
Inspiration:
This indicator is an innovative tool combining the traditional Money Flow Index (MFI) and Stochastic Oscillator concepts, enhanced by directly incorporating Open Interest data from Binance Futures BTCUSDT perpetual contracts.
What is it and what does it measure?
The traditional Money Flow Index (MFI) measures the flow of money considering both price and volume.
Open Interest represents the total number of outstanding futures contracts at any given moment, offering deeper insight into speculative involvement and investors' positioning.
This indicator replaces the traditional volume input with Open Interest, providing a more accurate perspective of speculative inflows and outflows in Bitcoin's perpetual futures market.
Advantages and Applications:
Higher accuracy for futures markets, particularly cryptocurrencies, due to direct usage of Binance Futures data reflecting real and speculative activities.
Clear identification of extreme overbought and oversold levels.
Provides objective visual signals for buying (green upward arrows) and selling (red downward arrows).
How to interpret:
The indicator oscillates between values of 0 and 100.
Values above the configured overbought level (e.g., 80) indicate potential downward reversals.
Values below the configured oversold level (e.g., 20) indicate potential upward reversals.
Crossovers of the K-line (blue) with the D-line (orange) generate immediate buy or sell signals.
Practical use:
Long (buy): Look for a green upward arrow after the indicator exits an oversold region.
Short (sell): Look for a red downward arrow after the indicator exits an overbought region.
This indicator is especially useful for traders operating perpetual futures contracts, providing increased precision and clarity for decision-making based on speculative money flows.
Previous Daily High/LowThe previous day’s high and low are critical price levels that traders use to identify potential support, resistance, and intraday trading opportunities. These levels represent the highest and lowest prices reached during the prior trading session and often act as reference points for future price action.
Why Are Previous Daily High/Low Important?
Support & Resistance Zones
The previous day’s low often acts as support (buyers defend this level).
The previous day’s high often acts as resistance (sellers defend this level).
Breakout Trading
A move above the previous high suggests bullish momentum.
A move below the previous low suggests bearish momentum.
Mean Reversion Trading
Traders fade moves toward these levels, expecting reversals.
Example: Buying near the previous low in an uptrend.
Institutional Order Flow
Market makers and algos often reference these levels for liquidity.
How to Use Previous Daily High/Low in Trading
1. Breakout Strategy
Long Entry: Price breaks & closes above previous high → bullish continuation.
Short Entry: Price breaks & closes below previous low → bearish continuation.
2. Reversal Strategy
Long at Previous Low: If price pulls back to the prior day’s low in an uptrend.
Short at Previous High: If price rallies to the prior day’s high in a downtrend.
3. Range-Bound Markets
Buy near previous low, sell near previous high if price oscillates between them.
Example Trade Setup
Scenario: Price opens near the previous day’s high.
Bullish Case: A breakout above it targets next resistance.
Bearish Case: Rejection at the high signals a pullback.
lucy EMA 50 High & EMA 20 LowTechnical Description (Code Functionality)
This Pine Script calculates and displays:
✅ 1. EMA 50 of the High Price
ema50High = ta.ema(high, 50)
This is the 50-period Exponential Moving Average (EMA) calculated using the high price of each candle.
It reacts slower than shorter EMAs, smoothing out short-term noise to help identify broader trend direction using the upper extremes of price.
✅ 2. EMA 20 of the Low Price
ema20Low = ta.ema(low, 20)
This is a 20-period EMA calculated using the low price of each candle.
Being shorter in length, it reacts faster to price changes, showing short-term momentum or pressure, but based on lower extremes of price.
✅ 3. Plotting and Visualization
Both EMAs are plotted on the chart using different colors:
Orange for EMA 50 High
Blue for EMA 20 Low
There's also a gray shaded area ("zone") filled between the two EMAs to visually highlight the range or channel created by these two levels.
📈 Trading Interpretation
This setup can be used in several ways, depending on strategy:
🔍 Trend Filter
If price stays between or above the EMA 50 High and EMA 20 Low, it may indicate an uptrend with strength and follow-through.
If EMA 20 Low crosses below EMA 50 High, it might suggest weakening bullish momentum or a potential trend reversal.
🟩 Buy Zone Concept
Some traders interpret the space between these EMAs as a potential entry zone in uptrends:
Price pulls back toward the EMA 20 Low (support) but doesn't break below EMA 50 High — this could signal a buy-the-dip opportunity.
🟥 Sell Signal / Bearish Shift
If price closes below both EMAs, or if EMA 20 Low crosses below EMA 50 High, it could be a signal for:
Exit
Short entry
Trend weakening
🛡️ Risk Management Tips
Avoid trading just on the crossover; use this with volume, MACD, RSI, or price action confirmation.
Place stop-loss below the EMA 20 Low (for long entries) to account for volatility.
Use EMA crossbacks (where EMA 20 re-crosses above EMA 50) as confirmation for re-entry.
QoQ EPS & Sales (Vertical Labels)this indicator represents about QoQ growth of sales and earning per share
AbuSaad – Multi-Timeframe EMA Radar📡 Multi-Timeframe EMA Alert Indicator
✅ Supports EMA 9 / 20 / 50 / 100 / 200
✅ Works on 5m, 15m, 1h, 4h, and 30h timeframes
✅ Triggers alerts when price approaches any EMA within a $3 range
✅ Ideal for scalping and short-term trading
🚀 تم تطويره من أبو سعد
Scanner Candles v2.01The "Scanner Candle v.2.01" is an indicator classifies candles based on the body/range ratio: indecisive (small body, ≤50%), decisive (medium body), explosive (large body, ≥70%). It includes EMAs to identify trends and "Reset Candles" (RC), small-bodied candles near EMAs, signaling potential reversals or continuations. Useful for analyzing volatility, breakouts, reversals, and risk management.
Description of the indicator:
The "Scanner Candle v.2.01" indicator classifies candles into three categories based on the proportion of the candle's body to its range (high-low):
Indecisive: candles with a small body (≤ set threshold, default 50%), indicating low volatility or market uncertainty.
Decisive: candles with a medium body, reflecting a clear but not extreme price movement.
Explosive: candles with a large body (≥ set threshold, default 70%), signaling strong directional moves.
Additionally, the indicator includes:
Customizable exponential moving averages (EMAs) to identify trends and support/resistance levels.
Detection of "Reset Candles" (RC), specific candles (e.g., dojis, ) with a small bodies body near EMAs, useful for identifying potential reversal or continuation points.
Coloring and visualization:
Candles are colored by category (white for indecisive, orange for decisive, purple for explosive).
Reset Candles are marked with circles above/below the candle (green for bullish, red for bearish).
Potential uses:
Volatility analysis: Identifying uncertain (indecisive), directional (decisive), or impulsive (explosive) market phases.
Breakout trading: Explosive candles can signal entry opportunities on strong moves.
Reversal detection: Reset Candles near EMAs can indicate turning points or trend continuation.
Trend-following support: Integrated EMAs contextualize candles within the main trend.
Risk management: Indecisive candles suggest avoiding trades in low-directionality phases.
The indicator is customizable (thresholds, colors, thresholdsEMAs, ) and adaptable to various timeframes and strategies, from day trading to swing trading.
Reset Candles:
Reset Candles (RC) are specific candles signaling potential reversals or continuations, often near EMAs. They are defined by:
Small body: Body < 5% of the range of the last 10 candles, indicating low volatility (e.g., doji).
EMA proximity: The candle is near or crosses a defined EMA (e.g., 10, 60, or 223 periods).
Trend conditions: Follows a red candle, with the close of the previous previous candles above a specific EMA, suggesting a potential bullish resumption or stabilization.
Limited spike: The candle has minimal tails (spikes, ) below a set threshold (default 1%).
Minimum timeframe: Appears on timeframes ≥ set value (default 5 minutes) or daily charts.
Non-consecutive: Not preceded by other RCs in the last 3 candles.
Types:
Doji_fin: Green circle above, signaling a bullish bullish setup near longer EMAs.
Dojifin_2: Yellow Red circle below, signaling a bearish setup near shorter EMAs.
Trading uses:
Reversal: RCs near EMAs signal bounces or rejections, ideal for counter-trend trades.
Continuation: In trends, RCs indicate pauses before trend resumption, offering low-risk entries.
Support/resistance confirmation: EMA proximity strengthens the level's significance.
Risk management: Small bodies and EMA proximity allow tight stop-losses.
Limitations:
False signals: Common in volatile or sideways markets; use with additional confirmation.
Timeframe dependency: More reliable on higher timeframes (e.g., 1-hour or daily).
Customization needed: Thresholds (e.g., spike, timeframe) must be tailored to the market.
Conclusion:
Reset Candles highlight low-volatility moments near technical levels (EMAs) that may precede significant moves. They are ideal for precise entries with tight stops in reversal or continuation strategies but require clear market context and additional confirmation for optimal effectiveness.
#ema #candlepattern #scalping
Pivot P ve 200 EMA Kesişimpivotlarala 200 günlük ema kesişince sinyal veriyor alta düşünce short üste cıkınca long
MTF Quad Rotation Stochastic + MTF TMO
MTF Quad Rotation Stochastic + MTF TMO
This script is a comprehensive momentum and trend tool that combines multi-timeframe Stochastic Oscillators and True Momentum Oscillators (TMO) into a single, easy-to-read layout.
🔹 Multi-Timeframe Stochastic (Quad Rotation)
Plots 4 smoothed stochastic levels per timeframe (short to long lookbacks).
Supports 3 configurable timeframes, each plotted in separate visual zones (0–100, 100–200, 200–300).
Helps detect alignment or divergence of momentum across short, medium, and long-term views.
Generates shape signals when all stochastics align in overbought/oversold zones (1TF, 2TF, 3TF logic).
🔹 Multi-Timeframe TMO (True Momentum Oscillator)
Displays TMO for 4 different user-selected timeframes.
Each TMO shows its main and signal line with dynamic color change and cloud fill based on direction.
Provides strong visual cues for momentum trend shifts and cross-timeframe confirmation.
Includes signal markers (triangles) when TMOs align for bullish or bearish momentum.
🔹 Additional Features
Customizable OB/OS levels, cloud transparency, and visual display controls.
Alerts built-in for overbought/oversold MTF conditions and TMO shifts.
Suitable for scalpers, intraday traders, and swing traders looking for confluence and momentum exhaustion.
This indicator helps you visually track momentum strength, reversals, and trend confirmation across multiple timeframes in real time.
ES 1m MA Envelope (200 SMA)This indicator plots a Moving Average Envelope around the 200-period Simple Moving Average (SMA) for use on the 1-minute chart of the E-mini S&P 500 futures (ES).
It features asymmetric bands to highlight short-term overbought/oversold zones and potential reversion setups:
Upper Band: +0.23% above the 200 SMA
Lower Band: -0.28% below the 200 SMA
This envelope is ideal for traders who recognize the “Stairs Up, Elevator Down” behavior of the S&P 500 — where price tends to grind up slowly and fall quickly.
🔍 Key Features:
Designed specifically for the 1-minute ES chart
Asymmetric thresholds for better fit with ES intraday dynamics
Supports mean reversion and breakout detection
Can be used to identify stretched price conditions or short-term entries/exits
Suggested Use:
Look for fade setups near the bands during ranging sessions
Combine with volume, RSI, or order flow tools for confirmation
Use alerts for quick reactions to overextended price moves
