MACD Multiple AlertsThis script help traders to catch bullish and bearish momentum. It creates an alert for 40 altcoins based on the MACD cross over and cross under.
The MACD input are adjustable in the settings and you can choose your favorite assets.
Simply add this indicator to the chart wait that if finish to load and then create an alert on the time frame of your choice.
Enjoy your trading
F_rank_01
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Bias Pivot PointA simple indicator that uses Pivot Points as a filter and to generate a Directional Bias .
How to use this indicator?
1. Directional Bias
Bullish => Closing Price > Pivot Point
Bearish => Closing Price < Pivot Point
2. Support / Resistance
Each Pivot Points can be used as Support or Resistance
3. Take Profit Targets
Each Pivot Points can be used as targets for taking profit
RSI Average Swing BotThis is a modified RSI version using as a source a big length(50 candles) and an average of all types of sources for candle calculations such as ohlc4, close, high, open, hlc3 and hl2.
In this case we are going to use a 0-1 scale for an easier calculation, where 0.5 is going to be our middle point.
Above 0.5 we consider a bullish possibility.
Below 0.5 we consider a bearish possibility.
I made a small example bot using that initial logic, together with 2 exit points for long or short positions.
If there are any questions, let me know !
MTF Bullish/Bearish IndicatorThe script plots a bullish/bearish indicator by evaluating a variety of moving averages for a security across multiple timeframes. It's derived from built in Technical Analysis indicator published by TradingView. The result of evaluation is plotted on the chart in green light/red light format in a configurable location.
evaluated moving averages include
- SMA 10, 20, 30, 50, 100, 200
- EMA 10, 20, 30, 50, 100, 200
- Hull MA 9
- VWMA 20
- Ichimoku Cloud
moving averages are evaluated at chart timeframes and 5 min, 15 min, 30 min, 120 min, 240 min, and daily by default but can be customized.
Macd Divergence + MTF EMA MACD Divergence + Multi Time Frame EMA
This Strategy uses 3 indicators: the Macd and two emas in different time frames
The configuration of the strategy is:
Macd standar configuration (12, 26, 9) in 1H resolution
10 periods ema, in 1H resolution
5 periods ema, in 15 minutes resolution
We use the two emas to filter for long and short positions.
If 15 minutes ema is above 1H ema, we look for long positions
If 15 minutes ema is below 1H ema, we look for short positions
We can use an aditional filter using a 100 days ema, so when the 15' and 1H emas are above the daily ema we take long positions
Using this filter improves the strategy
We wait for Macd indicator to form a divergence between histogram and price
If we have a bullish divergence, and 15 minutes ema is above 1H ema, we wait for macd line to cross above signal line and we open a long position
If we have a bearish divergence, and 15 minutes ema is below 1H ema, we wait for macd line to cross below signal line and we open a short position
We close both position after a cross in the oposite direction of macd line and signal line
Also we can configure a Take profit parameter and a trailing stop loss
[SCL] True Market StructureSee market structure at a glance with Higher Highs and Lower Lows. Bullish/Bearish/Ranging market bias is automatically derived. Optionally get alerted for breaks in market structure. Uses true Local Highs/Lows instead of simply the highest/lowest "pivot" for x bars. Can be useful as a support for learning market structure or for alerts for a change in structure while you're not at the computer.
Separated ATR - evoThis script plots two ATR (Average True Range) values, one based on only bullish and the other based on only bearish bars. If the current bar is positive, the negative ATR will use its last known negative bar for the calculation. You can smooth bar directions by using the Heikin Ashi setting.
Use this the same way how you would use the regular ATR indicator, but with the added value of knowing which side of the market has more volatility.
TMMS OscillatorThe TMMS oscillator (aka “Trading Made More Simpler”) is an indicator made of conditions based on both 2 separated Stochastic and 1 RSI.
Bullish zone is green and bearish one is red. When the histogram is grey, no signals is available at that time.
The indicator has an option to show the current trend of an Hull moving average (ascending or descending curve). When the trend is up, green dots are plotted on the zero line. When the trend is down, the dots are coloured in red.
Greetings, success with your trade!!!
Dreadblitz BarsThese bars can give you good opportunities if you know how to analyze the context.
blue=bullish
black=bearish
thumbs up
Market Thrust IndicatorThe Market Thrust indicator is a powerful measure of the stock market's internal strength or weakness. There are four components to this indicator:
1-Advancing Issues on the New York Stock Exchange (NYSE) – $ADV
2-Advancing Volume on the NYSE – $UVOL
3-Declining Issues on the NYSE – $DECL
4-Declining Volume on the NYSE – $DVOL
The formula for Market Thrust is given below:
($ADV x $UVOL)-($DECL x $DVOL)
When used for day-trading, the trend of the Market Thrust indicator is what is most important.
Rising Market Thrust Indicator: Considered a bullish sign; can act as a confirmation signal when combined with a rising stock, index ETF, or stock index future's price.
Falling Market Thrust Indicator: Considered a bearish sign; can act as a confirmation signal of a decreasing market price.
The Market Thrust indicator could be used for detecting divergences in trends. Divergences occur when:
- Price is trending higher, but the Market Thrust indicator is not moving higher or is even going down.
- Price is trending lower, however, the Market Thrust technical analysis tool is not trending lower, it is either not trending or is trending higher.
Add a fully configurable trend line over MTI.
Read more at: commodity.com
Engulfing Scanner v1This indicator helps you to quickly identify bullish and bearish engulfing patterns.
Works on currencies only (pips required).
Differential Price Counter for Bullish/Bearish BarsThis script can show the cumulative differential price of both bullish/bearish bars with the 0.1pip precision for the currencies having five decimal precision. However, can be useful for all markets.
RepulseThis indicator was originally developed by Eric Lefort, a professional trader and author from France.
It gauges and displays the bullish or bearish pressure.
Like and follow for more open source indicators!
Happy Trading!
RSI_EMA & Bearish EngulfingThis is a RSI-RSI of EMA and bearish candlestick reversal pattern formed by two candlesticks. Following an uptrend, the first candlestick is a up candlestick which is followed by a down candlestick which has a long real body that engulfs or contains the real body of the prior bar. following an uptrend, if RSI and EMA line cross then Sell and for downtrend if RSI and EMA line cross then Buy.
CMYK VRMI◊ Introduction
This script indicates the relative movement of price x volume.
◊ Origin
Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother. The input has been changed to the change of a smoothed close multiplied by a smoothed volume.
The polarity of VRMI indicates bearish/bullish movement.
◊ Adjustments
CMYK color theme applied.
◊ Usage
VRMI indicates the force the market moves with.
◊ Future Prospects
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◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊
CMYK VRMI RAYS ◊ Introduction
Introducing VRMI in this script, an RMI based on price movement and volume, to indicate bullish and bearish trends.
This script marks the background depending on RMI <> VRMI , VRMI polarity and large buy/sell sprees.
◊ Origin
Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother.
In addition VRMI reacts quick, it is used to cut off latency from RMI, and it's polarity indicates the beginning and end of a trend.
Large buy sell sprees and detected in their proportion with an sma on the volume
◊ Adjustments
CMYK color theme applied.
◊ Usage
This indicator can be used to detect trends and mark reversals.
◊ Prospects
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Super Envolvente (Bullish y Bearish)Identificador de Super-envolventes (SE), se encarga de darle un color verde a la SE alzista (Bullish) verde y rojo a la bajista (Bearish).
Bearish signal using Point of Control (POC) with PAC by guruThis indicator code helps traders identify potential sell opportunities using several important technical indicators:
Point of Control (POC) – This is the price level where the most volume was traded over the past several days.
Previous Day's Low – This shows the lowest price reached during the previous day.
PAC (Price Action Channel) EMA – These are two moving averages (one based on the low price and one based on the close price) that help determine if the price is trending within a certain range.
Volume SMA – This is a 3-day simple moving average (SMA) of volume, which helps filter out signals based on market activity.
What the Script Does:
Point of Control (POC):
The script looks at the last 50 days (configurable) and calculates which price level had the highest trading volume.
It then plots a red line on the chart at the POC level. This is important because it helps identify areas where there was strong market interest in the past.
Volume Moving Average:
The script calculates a 3-day SMA of volume, but it excludes the current day to avoid premature signals based on today’s trading.
The volume SMA is used to ensure there’s enough market activity (with a threshold set to 25 units) before triggering a sell signal.
Price Action Channel (PAC) EMA:
The PAC consists of two exponential moving averages (EMAs):
The PAC Low EMA: This is based on the low prices over the last 34 periods (configurable).
The PAC Close EMA: This is based on the closing prices over the last 34 periods.
These EMAs help determine if the price is trending above or below certain price levels.
Sell Signal Logic: The script checks three conditions before displaying a "Sell" signal:
Price Below POC and Previous Day’s Low:
The close price must be below both the Point of Control (POC) and the previous day's low.
Volume SMA Above 25:
The 3-day volume SMA must be greater than 25. This ensures the signal only triggers when there’s enough trading volume in the market.
Today’s Low is Above PAC EMAs:
Today's low price must be above both the PAC low EMA and the PAC close EMA. This prevents sell signals when prices are already significantly below the PAC, indicating possible exhaustion in the downtrend.
If all three conditions are met, the script will display a red "Sell" label on the chart, signaling a potential selling opportunity.
No Sell Signal if Price Reverses:
If the price crosses back above the POC or the previous day's low, the script will remove the sell signal and reset for a new opportunity.
Summary of Conditions:
For the script to display a "Sell" label:
The close price must be below the Point of Control (POC) and the previous day’s low.
The 3-day volume SMA (excluding today) must be greater than 25 units.
The low price of the current day must be above both the PAC low EMA and the PAC close EMA.
If these conditions are met, a red sell label appears on the chart as a potential signal for a short (sell) trade.
Photon Price Action Scanner [JOAT]Photon Price Action Scanner - Multi-Pattern Recognition with Adaptive Filtering
Introduction and Purpose
Photon Price Action Scanner is an open-source overlay indicator that automates the detection of 15+ candlestick patterns while filtering them through multiple confirmation layers. The core problem this indicator solves is pattern noise: raw candlestick pattern detection produces too many signals, most of which fail because they lack context. This indicator addresses that by combining pattern recognition with trend alignment, volume-weighted strength scoring, velocity confirmation, and an adaptive neural bias filter.
The combination of these components is not arbitrary. Each filter addresses a specific weakness in standalone pattern detection:
Trend alignment ensures patterns appear in favorable market structure
Volume-weighted strength filters out weak patterns with low conviction
Velocity confirmation identifies momentum behind the pattern
Neural bias filter adapts to recent price behavior to avoid counter-trend signals
What Makes This Indicator Original
While candlestick pattern scanners exist, this indicator's originality comes from:
1. Multi-Layer Filtering System - Patterns must pass through trend, strength, velocity, and neural bias filters before generating signals. This dramatically reduces false positives compared to simple pattern detection.
2. Adaptive Neural Bias Filter - A custom momentum-adjusted EMA that learns from recent price action using a configurable learning rate. This is not a standard moving average but an adaptive filter that accelerates during trends and smooths during consolidation.
3. Pattern Strength Scoring - Each pattern receives a strength score based on volume ratio and body size, allowing traders to focus on high-conviction setups rather than every pattern occurrence.
4. Smart Cooldown System - Prevents signal overlap by enforcing minimum bar spacing between pattern labels, keeping charts clean even when "Show All Patterns" is enabled.
How the Components Work Together
Step 1: Pattern Detection
The indicator scans for 15 candlestick patterns using precise mathematical definitions:
// Example: Bullish Engulfing requires the current bullish candle to completely
// engulf the previous bearish candle with a larger body
isBullishEngulfing() =>
bool pattern = close < open and close > open and
open <= close and close >= open and
close - open > open - close
pattern
// Example: Three White Soldiers requires three consecutive bullish candles
// with each opening within the previous body and closing higher
isThreeWhiteSoldiers() =>
bool pattern = close > open and close > open and close > open and
close < close and close < close and
open > open and open < close and
open > open and open < close
pattern
Step 2: Strength Calculation
Each detected pattern receives a strength score combining volume and body size:
float volRatio = avgVolume > 0 ? volume / avgVolume : 1.0
float bodySize = math.abs(close - open) / close
float baseStrength = (volRatio + bodySize * 100) / 2
This ensures patterns with above-average volume and large bodies score higher than weak patterns on low volume.
Step 3: Trend Alignment
Patterns are checked against the trend direction using an EMA:
float trendEMA = ta.ema(close, i_trendPeriod)
int trendDir = close > trendEMA ? 1 : close < trendEMA ? -1 : 0
Bullish patterns in uptrends and bearish patterns in downtrends receive priority.
Step 4: Neural Bias Filter
The adaptive filter uses a momentum-adjusted EMA that responds to price changes:
neuralEMA(series float src, simple int period, simple float lr) =>
var float neuralValue = na
var float momentum = 0.0
if na(neuralValue)
neuralValue := src
float error = src - neuralValue
float adjustment = error * lr
momentum := momentum * 0.9 + adjustment * 0.1
neuralValue := neuralValue + adjustment + momentum
neuralValue
The learning rate (lr) controls how quickly the filter adapts. Higher values make it more responsive; lower values make it smoother.
Step 5: Velocity Confirmation
Price velocity (rate of change) must exceed the average velocity for strong signals:
float velocity = ta.roc(close, i_trendPeriod)
float avgVelocity = ta.sma(velocity, i_trendPeriod)
bool velocityBull = velocity > avgVelocity * 1.5
Step 6: Signal Classification
Signals are classified based on how many filters they pass:
Strong Pattern : Pattern + strength threshold + trend alignment + neural bias + velocity
Ultra Pattern : Strong pattern + gap in same direction + velocity confirmation
Watch Pattern : Pattern detected but not all filters passed
Detected Patterns
Classic Reversal Patterns:
Bullish/Bearish Engulfing - Complete body engulfment with larger body
Hammer - Long lower wick (2x body), small upper wick, bullish context
Shooting Star - Long upper wick (2x body), small lower wick, bearish context
Morning Star - Three-bar bullish reversal with small middle body
Evening Star - Three-bar bearish reversal with small middle body
Piercing Line - Bullish candle closing above midpoint of previous bearish candle
Dark Cloud Cover - Bearish candle closing below midpoint of previous bullish candle
Bullish/Bearish Harami - Small body contained within previous larger body
Doji - Body less than 10% of total range (indecision)
Advanced Patterns (Optional):
Three White Soldiers - Three consecutive bullish candles with rising closes
Three Black Crows - Three consecutive bearish candles with falling closes
Tweezer Top - Equal highs with reversal candle structure
Tweezer Bottom - Equal lows with reversal candle structure
Island Reversal - Gap isolation creating reversal structure
Dashboard Information
The dashboard displays real-time analysis:
Pattern - Current detected pattern name or "SCANNING..."
Bull/Bear Strength - Volume-weighted strength scores
Trend - UPTREND, DOWNTREND, or SIDEWAYS based on EMA
RSI - 14-period RSI for momentum context
Momentum - 10-period momentum reading
Volatility - ATR as percentage of price
Neural Bias - BULLISH, BEARISH, or NEUTRAL from adaptive filter
Action - ULTRA BUY/SELL, BUY/SELL, WATCH BUY/SELL, or WAIT
Visual Elements
Pattern Labels - Abbreviated codes (BE=Engulfing, H=Hammer, MS=Morning Star, etc.)
Neural Bias Line - Adaptive trend line showing filter direction
Gap Boxes - Cyan boxes highlighting price gaps
Action Zones - Dashed boxes around strong pattern areas
Velocity Markers - Small circles when velocity confirms direction
Ultra Signals - Large labels for highest conviction setups
How to Use This Indicator
For Reversal Trading:
1. Wait for a pattern to appear at a key support/resistance level
2. Check that the Action shows "BUY" or "SELL" (not just "WATCH")
3. Confirm the Neural Bias aligns with your trade direction
4. Use the strength score to gauge conviction (higher is better)
For Trend Continuation:
1. Identify the trend using the Trend row in the dashboard
2. Look for patterns that align with the trend (bullish patterns in uptrends)
3. Ultra signals indicate the strongest continuation setups
For Filtering Noise:
1. Keep "Show All Patterns" disabled to see only filtered signals
2. Increase "Pattern Strength Filter" to see fewer, higher-quality patterns
3. Enable "Velocity Confirmation" to require momentum behind patterns
Input Parameters
Scan Sensitivity (1.0) - Overall detection sensitivity multiplier
Pattern Strength Filter (3) - Minimum strength score for strong signals
Trend Period (20) - EMA period for trend determination
Show All Patterns (false) - Display all patterns regardless of filters
Advanced Patterns (true) - Enable soldiers/crows/tweezer detection
Gap Analysis (true) - Enable gap detection and boxes
Velocity Confirmation (true) - Require velocity for strong signals
Neural Bias Filter (true) - Enable adaptive trend filter
Neural Period (50) - Lookback for neural bias calculation
Neural Learning Rate (0.12) - Adaptation speed (0.01-0.5)
Timeframe Recommendations
1H-4H: Best balance of signal frequency and reliability
Daily: Fewer but more significant patterns
15m-30m: More signals, requires tighter filtering (increase strength threshold)
Limitations
Pattern detection is mechanical and does not consider fundamental context
Neural bias filter may lag during rapid trend reversals
Gap detection requires clean price data without after-hours gaps
Strength scoring favors high-volume patterns, which may miss valid low-volume setups
- Made with passion by officialjackofalltrades
