Trend Trader//@version=6
indicator("Trend Trader", shorttitle="Trend Trader", overlay=true)
// User-defined input for moving averages
shortMA = input.int(10, minval=1, title="Short MA Period")
longMA = input.int(100, minval=1, title="Long MA Period")
// User-defined input for the instrument selection
instrument = input.string("US30", title="Select Instrument", options= )
// Set target values based on selected instrument
target_1 = instrument == "US30" ? 50 :
instrument == "NDX100" ? 25 :
instrument == "GER40" ? 25 :
instrument == "GOLD" ? 5 : 5 // default value
target_2 = instrument == "US30" ? 100 :
instrument == "NDX100" ? 50 :
instrument == "GER40" ? 50 :
instrument == "GOLD" ? 10 : 10 // default value
// User-defined input for the start and end times with default values
startTimeInput = input.int(12, title="Start Time for Session (UTC, in hours)", minval=0, maxval=23)
endTimeInput = input.int(17, title="End Time Session (UTC, in hours)", minval=0, maxval=23)
// Convert the input hours to minutes from midnight
startTime = startTimeInput * 60
endTime = endTimeInput * 60
// Function to convert the current exchange time to UTC time in minutes
toUTCTime(exchangeTime) =>
exchangeTimeInMinutes = exchangeTime / 60000
// Adjust for UTC time
utcTime = exchangeTimeInMinutes % 1440
utcTime
// Get the current time in UTC in minutes from midnight
utcTime = toUTCTime(time)
// Check if the current UTC time is within the allowed timeframe
isAllowedTime = (utcTime >= startTime and utcTime < endTime)
// Calculating moving averages
shortMAValue = ta.sma(close, shortMA)
longMAValue = ta.sma(close, longMA)
// Plotting the MAs
plot(shortMAValue, title="Short MA", color=color.blue)
plot(longMAValue, title="Long MA", color=color.red)
// MACD calculation for 15-minute chart
= request.security(syminfo.tickerid, "15", ta.macd(close, 12, 26, 9))
macdColor = macdLine > signalLine ? color.new(color.green, 70) : color.new(color.red, 70)
// Apply MACD color only during the allowed time range
bgcolor(isAllowedTime ? macdColor : na)
// Flags to track if a buy or sell signal has been triggered
var bool buyOnce = false
var bool sellOnce = false
// Tracking buy and sell entry prices
var float buyEntryPrice_1 = na
var float buyEntryPrice_2 = na
var float sellEntryPrice_1 = na
var float sellEntryPrice_2 = na
if not isAllowedTime
buyOnce :=false
sellOnce :=false
// Logic for Buy and Sell signals
buySignal = ta.crossover(shortMAValue, longMAValue) and isAllowedTime and macdLine > signalLine and not buyOnce
sellSignal = ta.crossunder(shortMAValue, longMAValue) and isAllowedTime and macdLine <= signalLine and not sellOnce
// Update last buy and sell signal values
if (buySignal)
buyEntryPrice_1 := close
buyEntryPrice_2 := close
buyOnce := true
if (sellSignal)
sellEntryPrice_1 := close
sellEntryPrice_2 := close
sellOnce := true
// Apply background color for entry candles
barcolor(buySignal or sellSignal ? color.yellow : na)
/// Creating buy and sell labels
if (buySignal)
label.new(bar_index, low, text="BUY", style=label.style_label_up, color=color.green, textcolor=color.white, yloc=yloc.belowbar)
if (sellSignal)
label.new(bar_index, high, text="SELL", style=label.style_label_down, color=color.red, textcolor=color.white, yloc=yloc.abovebar)
// Creating labels for 100-point movement
if (not na(buyEntryPrice_1) and close >= buyEntryPrice_1 + target_1)
label.new(bar_index, high, text=str.tostring(target_1), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar)
buyEntryPrice_1 := na // Reset after label is created
if (not na(buyEntryPrice_2) and close >= buyEntryPrice_2 + target_2)
label.new(bar_index, high, text=str.tostring(target_2), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar)
buyEntryPrice_2 := na // Reset after label is created
if (not na(sellEntryPrice_1) and close <= sellEntryPrice_1 - target_1)
label.new(bar_index, low, text=str.tostring(target_1), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar)
sellEntryPrice_1 := na // Reset after label is created
if (not na(sellEntryPrice_2) and close <= sellEntryPrice_2 - target_2)
label.new(bar_index, low, text=str.tostring(target_2), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar)
sellEntryPrice_2 := na // Reset after label is created
Indicadores y estrategias
Candle Points (Based on High/Low)Places a dot on the candle at the 25% 50% and 75% mark.
Candle body opacity needs to reduced to see the dots when then are within the candle body.
ATR Volatility HistogramATR Volatility Histogram showing result as coloured histogram where Rising > Greenand Fallig < Red. Input can be varied in settings.
複合ガチイカ🦑🦑🦑 日本語説明は英文の後ーーーーーーーーーーーーーーー
🦑 Composite Gachi Squid Indicator – A fun and intuitive trading overlay combining SuperTrend, ATR, and RSI.
Body color shows trend direction and strength.
Tentacles visualize volatility.
Eyes indicate overbought/oversold conditions.
🦑↑ / 🦑↓ marks provide clear entry signals.
Perfect for visual traders who want both style and actionable insights.
日本語説明-------------------------------------------------------------
🦑 複合ガチイカ・インジケーター – SuperTrend、ATR、RSI を組み合わせた遊び心と実用性を両立したチャートオーバーレイ。
イカの体の色でトレンドの方向と強さを表示
触手でボラティリティを可視化
目で買われすぎ・売られすぎを表示
🦑↑ / 🦑↓ が分かりやすいエントリーシグナル
見た目も楽しく、トレード判断にも使えるインジケーターです。
Distance From MA 52W Low+High This script shows the distance in percentage form of price from its ema and 52 week high and low. It can be seen on the chart as line or pinned to the scale as in the picture above.
Ultimate_Price_Action_Tool_V2 by chaitu50cUltimate_Price_Action_Tool_V2 by chaitu50c — Session-Based SR Box Engine
This indicator builds clean, session-aware support and resistance “zones” from pure price action. It is designed for intraday and positional traders who want objective, rule-based zones instead of manual drawing.
Core Logic
Price-action based MAIN zones
Detects bullish and bearish breakouts using a strict body-structure:
Single-candle and double-candle breakout patterns.
Breakouts are confirmed only when closes break beyond previous highs/lows.
From each valid breakout, the tool builds a MAIN Support or MAIN Resistance box:
For bullish breaks, the zone is created from a combined low to the nearest open/close in the breakout combo.
For bearish breaks, the zone is created from a combined high to the nearest open/close in the breakout combo.
Optional first-box logic:
Can create the very first MAIN zone in a session from a simple opposite-color pair (without a full breakout), if enabled.
SUB zones on break
When price breaks a MAIN Support downwards with a red candle, the MAIN box is removed/frozen and:
A new SUB Resistance box is created above, using the current bar’s structure.
When price breaks a MAIN Resistance upwards with a green candle:
A new SUB Support box is created below.
SUB zones are optional and can be fully disabled if the user prefers a clean MAIN-only view.
Session Handling
The script is fully session-aware and can work in different market structures:
Session Mode options
Clock Session
Uses a fixed time window (e.g., 09:15–15:30).
Zones can be shown only inside the session or kept visible outside, depending on settings.
New Day
Each new trading day is treated as a fresh session.
Auto Gap
A new session starts whenever the time gap between candles exceeds a user-defined threshold (in minutes).
Session IDs and history
Each new session gets its own ID.
You can display zones for the last N sessions (including current).
Older sessions fade out visually but remain internally tracked to control visibility.
Main Features & Options
Initial Right Offset
Every new zone is projected to the right by a configurable number of bars.
All active boxes continuously extend with this offset, keeping zones clearly projected into the future.
Single MAIN per side (per session)
Optional constraint to have only:
One active MAIN Support and
One active MAIN Resistance
per session on the chart.
This prevents overcrowding and focuses on the most recent key structure.
MAIN vs SUB Overlap Control
When a new MAIN zone overlaps an existing SUB zone, you can choose:
Suppress MAIN (ignore the new MAIN if it clashes with a SUB),
Remove SUB (delete overlapping SUB zones and keep the new MAIN), or
Allow Both (plot everything and let the trader decide).
Vertical overlap is evaluated using a configurable minimum overlap percentage.
SUB suppression under MAIN
SUB boxes that overlap strongly with active MAIN zones can be auto-suppressed to avoid redundant clutter.
This suppression uses the same percent-based overlap logic.
Broken MAIN box handling
When a MAIN zone is broken:
Option 1: Fully delete it (classic behavior).
Option 2: Convert it into a 1-bar “marker” box at its origin, so you still see where the original zone formed without extending into the future.
Break candle coloring
The candle that breaks a MAIN zone can be optionally painted:
Red when breaking support.
Green when breaking resistance.
Helps visually confirm genuine breaks vs. simple intrabar tests.
Visual & Styling Controls
Separate style controls for:
MAIN Support / MAIN Resistance
Independent fill and border colors.
SUB Support / SUB Resistance
Independent fill and border colors.
Opacity and border colors are internally managed so that:
Recent sessions are clearly visible.
Older sessions are softly faded to maintain context without noise.
Typical Use Cases
Intraday traders looking for:
Clean, rule-based supply and demand zones.
Zones that respect actual session structure (clock, daily, or gap-based).
Swing traders who:
Want to track how current price reacts to the most recent 1–N sessions’ zones.
Price action traders who:
Prefer breakout-based zones rather than indicator-driven levels.
Need automatic zone management (creation, extension, break handling, and suppression).
This tool is built to be modular and configurable: you can run it minimal (only MAIN zones, single side per session) or fully featured (MAIN + SUB, multi-session history, overlap handling, and break paints). All logic is strictly price-action based with no dependency on volume or external indicators.
The Alchemist's Trend [wjdtks255]📊 The Alchemist's Trend - Filtered Trading Guide
This indicator, named The Alchemist's Trend, is a High-Confidence Trend-Following Strategy designed to maximize reliability. It generates a final entry signal only when the QQE (Quantitative Qualitative Estimation) momentum signal is validated by four robust filters: Long-Term Trend (MA200), Mid-Term Trend (HMA), Momentum Strength (CCI), and Higher Timeframe (HTF) Trend.
1. Indicator Mechanism and Core Components
A. Chart Visualization and Trend Identification
Trend Line (HMA): Appears as a Yellow or Purple Thick Line. It represents the direction of the current short/mid-term market trend. Candle colors follow this line.
MA 200: Appears as a Dotted Line (color configurable in settings). It is the Long-Term Trend Line. Price above it suggests a long-term bullish view; below it, a long-term bearish view.
Candle Background: Appears as Light Yellow or Purple. It matches the Trend Line direction, providing a visual cue of the trend's strength.
B. The Four-Filter System
For a confirmed entry signal ('L' or 'S') to fire, the following four conditions must all align in the same direction:
QQE (Momentum Base): Generates the primary Long/Short crossover signal.
MA & HMA (Trend Alignment):
For Long Entries: Price must be above both the MA200 and the HMA Trend Line.
For Short Entries: Price must be below both the MA200 and the HMA Trend Line.
CCI (Momentum Strengthening):
For Long Entries: CCI value must be above +50. (Confirms strong buying momentum)
For Short Entries: CCI value must be below -50. (Confirms strong selling momentum)
HTF (Higher Timeframe Trend): Checks if the price on the set higher timeframe (default 4H) is above its own Trend Line, confirming alignment with the broader market direction.
2. Trading Strategy and Usage Rules
This indicator aims to maximize signal reliability over frequency.
🔔 Entry Rule
Enter a trade only when the 'L' or 'S' label appears on the chart AND the Action panel on the dashboard displays LONG SIGNAL or SHORT SIGNAL.
Long Entry (L):
Condition: 'L' label appears (All Long conditions met).
Verification: Confirm the Trend Line and candle color are in the yellow range.
Short Entry (S):
Condition: 'S' label appears (All Short conditions met).
Verification: Confirm the Trend Line and candle color are in the purple range.
🛡️ Risk and Position Management
Stop-Loss (SL): A common practice is to place the Stop-Loss below the low of the signal candle (for Long) or above the high of the signal candle (for Short), or beyond a recent significant support/resistance level.
Exit Strategy (Three Options):
Opposite Signal: Close the position immediately if the opposite signal ('S' during a Long, or 'L' during a Short) occurs.
RSI Extremes: Consider taking partial profits if the RSI reaches 70 (for Long) or 30 (for Short), indicating potential exhaustion.
Trend Line Crossover: Exit the position if the price breaks or crosses the Trend Line, causing the candle color to change.
🖥️ Dashboard Utilization Tips
The dashboard provides contextual information to validate the signal:
RSI: Signals occurring within the neutral 30-70 zone suggest a stronger developing trend. If near 70/30, consider the risk of reversal.
Vol Status ('High'): If the volume status is 'High' when the signal fires, the signal's power is likely high, indicating a higher probability of significant movement.
Day High/Low: Use these values as a secondary reference for setting initial Stop-Loss or Take-Profit targets.
Grok/Claude Quantum Signal Pro * Enhanced v2# QSig Pro+ v2 — Dynamic RSI Enhancement
## Release: Quantum Signal Pro Enhanced v2
**Author:** ralis24 (with Claude assistance)
**Version:** 2.0
**Platform:** TradingView (Pine Script v6)
---
## Overview
Version 2 introduces **Trend-Adaptive RSI Thresholds** — a significant enhancement that dynamically adjusts buy and sell levels based on real-time trend strength. This allows the indicator to more effectively capture dips in uptrends and sell bounces in downtrends, rather than waiting for extreme oversold/overbought conditions that rarely occur during strong directional moves.
---
## The Problem v2 Solves
In the original QSig Pro+, RSI thresholds were fixed at 30 (oversold) and 70 (overbought). While these levels work well in ranging markets, they create issues in trending conditions:
- **Strong Uptrends:** Price rarely drops to RSI 30. Pullbacks typically bottom around RSI 40-50, causing missed buy opportunities.
- **Strong Downtrends:** Relief rallies rarely push RSI above 70. Bounces often exhaust around RSI 55-65, causing missed sell opportunities.
The v2 solution: **Let the market's trend strength dictate the appropriate RSI levels.**
---
## New Feature: Dynamic RSI Thresholds
### How It Works
The indicator now detects three distinct market states and applies corresponding RSI thresholds:
| Market State | Detection Criteria | RSI Buy Level | RSI Sell Level |
|--------------|-------------------|---------------|----------------|
| **Strong Uptrend** | +DI > -DI, ADX > 24, ADX rising | < 40 | > 80 |
| **Strong Downtrend** | -DI > +DI, ADX > 24, ADX rising | < 20 | > 60 |
| **Neutral/Ranging** | ADX < 24 or ADX falling | < 30 | > 70 |
### Trend State Detection Logic
```
Strong Uptrend = (+DI > -DI) AND (ADX > threshold) AND (ADX > ADX )
Strong Downtrend = (-DI > +DI) AND (ADX > threshold) AND (ADX > ADX )
Neutral = Neither condition met
```
### Anti-Whipsaw Protection
To prevent rapid switching between threshold sets during choppy transitions, a **confirmation buffer** requires the trend state to persist for a configurable number of bars (default: 2) before the indicator switches regimes.
---
## New Input Parameters
A new input group "**Dynamic RSI Thresholds**" has been added with the following settings:
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Enable Trend-Adaptive RSI Levels | ON | toggle | Master switch for the feature |
| ADX Strong Trend Threshold | 24 | 15-40 | ADX must exceed this to qualify as "strong" trend |
| ADX Rising Lookback (bars) | 3 | 1-10 | ADX must be higher than N bars ago to confirm rising |
| Trend Confirmation Bars | 2 | 1-5 | Bars trend must persist before switching thresholds |
| RSI Buy Level (Strong Uptrend) | 40 | 30-55 | Oversold threshold during confirmed uptrends |
| RSI Sell Level (Strong Uptrend) | 80 | 70-90 | Overbought threshold during confirmed uptrends |
| RSI Buy Level (Strong Downtrend) | 20 | 10-30 | Oversold threshold during confirmed downtrends |
| RSI Sell Level (Strong Downtrend) | 60 | 50-70 | Overbought threshold during confirmed downtrends |
| RSI Buy Level (Neutral/Ranging) | 30 | 20-40 | Standard oversold threshold |
| RSI Sell Level (Neutral/Ranging) | 70 | 60-80 | Standard overbought threshold |
---
## Enhanced Info Panel
The information panel now displays two new rows:
1. **Trend State** — Shows current regime: "STRONG UP" (green), "STRONG DOWN" (red), or "NEUTRAL" (gray)
2. **RSI Levels** — Displays the currently active thresholds (e.g., "40 / 80" during uptrends)
Additionally, the **ADX row** now includes a directional arrow (↑ or ↓) indicating whether ADX is rising or falling.
---
## Enhanced Signal Labels
Buy and sell labels on the chart now include contextual information:
**Before (v1):**
```
BUY: 97,234.50
```
**After (v2):**
```
BUY: 97,234.50
STRONG UP | RSI<40
```
This provides immediate visual confirmation of which threshold regime triggered the signal.
---
## Enhanced Alert System
### New Alert Conditions
Three new alerts have been added for trend state changes:
- **🔼 Strong Uptrend Started** — Fires when market transitions to strong uptrend (thresholds shift to 40/80)
- **🔽 Strong Downtrend Started** — Fires when market transitions to strong downtrend (thresholds shift to 20/60)
- **⚖️ Trend Neutralized** — Fires when trend weakens and thresholds reset to 30/70
### Enhanced Webhook JSON
The JSON alert payload now includes additional fields for bot integration:
```json
{
"action": "BUY",
"symbol": "BTC/USDT",
"price": "97234.50",
"rsi": "38.5",
"rsi_threshold": "40",
"adx": "28.3",
"fisher": "-1.87",
"trend_state": "STRONG UP"
}
```
---
## Bonus Enhancement: Dynamic Fisher Thresholds
As an additional refinement, the Fisher Transform thresholds now adjust slightly based on trend state:
| Trend State | Fisher Buy Level | Fisher Sell Level |
|-------------|------------------|-------------------|
| Strong Uptrend | -1.5 (loosened) | -2.0 (standard) |
| Strong Downtrend | -2.0 (standard) | +1.5 (loosened) |
| Neutral | -2.0 (standard) | +2.0 (standard) |
This allows the indicator to trigger signals in strong trends where momentum oscillators rarely reach extreme levels.
---
## Practical Trading Impact
### Strong Uptrend Example (BTC rally)
- **Before:** Waiting for RSI < 30 means missing most pullback entries
- **After:** RSI < 40 triggers buy signals on normal pullbacks within the trend
### Strong Downtrend Example (Bear market bounce)
- **Before:** Waiting for RSI > 70 means holding through entire relief rallies
- **After:** RSI > 60 triggers sell signals on bounce exhaustion
### Ranging Market
- Thresholds remain at traditional 30/70 levels where mean reversion works best
---
## Backward Compatibility
The dynamic RSI feature can be completely disabled by turning off "Enable Trend-Adaptive RSI Levels" in the settings. When disabled, the indicator behaves identically to v1 using the neutral threshold values (30/70).
---
## Summary of Changes
| Component | v1 | v2 |
|-----------|----|----|
| RSI Thresholds | Fixed 30/70 | Dynamic based on trend state |
| Trend State Detection | Not present | +DI/-DI + ADX + Rising confirmation |
| Whipsaw Protection | Not present | Configurable confirmation bars |
| Info Panel Rows | 10 | 12 (added Trend State, RSI Levels) |
| ADX Display | Value only | Value + direction arrow |
| Signal Labels | Price only | Price + Trend State + Threshold |
| Alert Conditions | 10 | 13 (added 3 trend state alerts) |
| Webhook Fields | 5 | 7 (added rsi_threshold, trend_state) |
| Fisher Thresholds | Fixed | Adaptive (subtle adjustment) |
---
## Recommended Settings by Market Type
### Crypto (High Volatility)
- ADX Strong Trend Threshold: 24
- RSI Buy (Uptrend): 40-45
- RSI Sell (Downtrend): 55-60
### Forex (Medium Volatility)
- ADX Strong Trend Threshold: 22
- RSI Buy (Uptrend): 38-42
- RSI Sell (Downtrend): 58-62
### Stocks/Indices (Lower Volatility)
- ADX Strong Trend Threshold: 20
- RSI Buy (Uptrend): 35-40
- RSI Sell (Downtrend): 60-65
---
## Installation
1. Open TradingView and navigate to Pine Editor
2. Remove or rename existing QSig Pro+ indicator
3. Paste the complete v2 code
4. Click "Add to Chart"
5. Configure Dynamic RSI Thresholds in settings as desired
---
*QSig Pro+ v2 — Smarter entries through trend-aware signal generation*
Today Low ± 50 LevelsThis script plots two dynamic horizontal lines based on today’s daily low. One line is placed 50 points above the low and the other 50 points below it. The lines update automatically each new day and appear on any timeframe
3:55 PM Candle High/Low Levels (ARADO VERSION)a lil better in smaller tfs. Its a veryyyyy cool indicator guys (thanks ivan)
Fib Golden RatioDynamic Fib High → Low (0.5 & 0.618)
This indicator automatically tracks the current day’s High and Low and plots the key Fibonacci retracement levels 0.5 (50%) and 0.618 (Golden Ratio) based on the live intraday price range.
The tool is designed for traders who want simple, clean, and dynamic intraday Fibonacci levels without clutter on the chart.
How It Works
Detects the start of a new trading day
Tracks the highest high and lowest low of the current day
Continuously recalculates:
Fibonacci 0.5 (Midpoint)
Fibonacci 0.618 (Golden Ratio)
Plots clean continuous lines across the chart
Fib is calculated from High → Low, matching how typical intraday fib tools are visually applied
Why This Indicator
No drawings to manually adjust
No user configuration required
Extremely lightweight and fast
Automatically adjusts as the day progresses
Perfect for identifying intraday mean reversion zones, pullback zones, and reaction levels
Ideal Use Cases
Intraday directional trading
Scalping pullbacks
Mean reversion setups
Identifying dynamic support/resistance zones
Option scalping (CE/PE)
Dynamic `request` demoPublish a new script-This should help people to make better analysis of the market
Candle Color FlipCandle Color Flip highlights potential short-term reversals caused by back-to-back candles closing in opposite colors.
The script:
Watches for a green candle that closes after a red candle without making a lower low, and for a red candle that closes after a green candle without making a higher high.
Plots compact markers on qualifying bars (green triangles below for red→green flips, red triangles above for green→red flips).
Offers alert conditions for both directions, so you can set notifications that fire only when a confirmed bar meets the flip rules.
Can also be used to determine exit points on trades by confirming reversals.
Use it to quickly spot where buyers or sellers may be stepping in while the prior candle’s extremes still hold. You can enable “Any alert() function call” for real-time notifications, or stick with bar-close alerts for confirmation.
QQQ Quant Power STRATEGY v13.3 (Ribbon + TQQQ Specs)1. The Quant Engine (Data Processing)
Weighted Scoring: It assigns specific weights to stocks (e.g., NVDA gets 8.5% weight, TXN gets 1.0%).
Z-Score Pressure: It calculates how "unusual" the current buying/selling pressure is compared to the average (Standard Deviation).
Alignment Bonus: It boosts the "Conviction Score" if Mega Caps (Top 8) and Large Caps (Next 12) are moving in the same direction.
2. The Dashboard (Mission Control)
The dashboard gives you an X-Ray view of the market:
Main Status: Tells you if the market is BULLISH, BEARISH, or CHOP (Sit Out).
Conviction %: A probability score (0-99%). Higher = Safer trade.
Breadth: Counts how many of the top 20 stocks are above their EMA.
Chop Logic: If Breadth is mixed (between 6 and 14 stocks above EMA), it declares "CHOP" and blocks trades.
Mega/Large Net: Shows the net buying/selling pressure for each group.
3. Visuals
Pressure Line: The line on the chart isn't just a Moving Average; it's the Net Pressure of the 20 stocks pushing price up or down.
Conviction Ribbon: The squares at the bottom of the screen.
🟩 Green: High Probability Long (>77%).
🟥 Red: High Probability Short (>77%).
⬜ Gray: Low Conviction / Holding.
4. Strategy Logic (Automated Trading)
Entry: Enters when the "Basket" of stocks is aligned (Bull/Bear Pressure) AND the Conviction Score is high (>77%).
Exit: Closes the trade if Conviction drops (Signal fades) or hits a Hard Stop Loss.
Time Filters: Includes strict trading windows (e.g., No trading during lunch 12-1pm, closes all positions on Friday).
Summary
This is a Market Breadth & Momentum Strategy. It assumes that QQQ cannot sustain a trend unless its underlying components (NVDA, AAPL, etc.) are pushing it. It filters out "fake moves" where QQQ moves but the components don't support it.
PST Super Simple System v2.5+PinkSlips Trading was built to give traders real structure, real tools, and real support — without the confusion or false promises you find everywhere else. Everything we provide is focused on helping you trade with clarity and confidence.
Professional-Grade Indicators
We develop custom TradingView indicators designed to simplify your decision-making. Clean, reliable, and built to support consistent trading.
Daily Live Trading Sessions
Members can watch the market with us in real time. We walk through bias, key levels, trade execution, and risk management so you can learn the process step-by-step.
Personal Guidance and Trade Planning
Whether you need help building a strategy, fixing your discipline, or understanding your data, we offer direct support and tailored plans to help you improve faster.
A Focused, Results-Driven Community
PinkSlips Trading is built for traders who want to get better — not for hype. You’ll be surrounded by people who take trading seriously and are committed to long-term growth.
Institutional Moving Averages (50/100/200)A streamlined Moving Average suite designed for institutional-style trend analysis. This indicator plots the three most critical trend baselines used by traders and funds:
50 MA (Blue): Short-term trend and momentum.
100 MA (Orange): Medium-term support/resistance.
200 MA (Purple): Long-term trend definition (Bull/Bear line).
Features:
Fully Customizable: Switch between SMA, EMA, WMA, RMA, or HMA.
Clean Visuals: Optimized colors for dark and light themes.
Native Performance: Uses standard TradingView plotting for maximum speed and compatibility with the "Style" tab visibility settings.
Real Relative Strength Indicator### What is RRS (Real Relative Strength)?
RRS is a volatility-normalized relative strength indicator that shows you – in real time – whether your stock, crypto, or any asset is genuinely beating or lagging the broader market after adjusting for risk and volatility. Unlike the classic “price ÷ SPY” line that gets completely fooled by volatility regimes, RRS answers the only question that actually matters to professional traders:
“Is this ticker moving better (or worse) than the market on a risk-adjusted basis right now?”
It does this by measuring the excess momentum of your ticker versus a benchmark (SPY, QQQ, BTC, etc.) and then dividing that excess by the average volatility (ATR) of both instruments. The result is a clean, centered-around-zero oscillator that works the same way in calm markets, crash markets, or parabolic bull runs.
### How to Use the RRS Indicator (Aqua/Purple Area Version) in Practice
The indicator is deliberately simple to read once you know the rules:
Positive area (aqua) means genuine outperformance.
Negative area (purple) means genuine underperformance.
The farther from zero, the stronger the leadership or weakness.
#### Core Signals and How to Trade Them
- RRS crossing above zero → one of the highest-probability long signals in existence. The asset has just started outperforming the market on a risk-adjusted basis. Enter or add aggressively if price structure agrees.
- RRS crossing below zero → leadership is ending. Tighten stops, take partial or full profits, or flip short if you trade both sides.
- RRS above +2 (bright aqua area) → clear leadership. This is where the real money is made in bull markets. Trail stops, add on pullbacks, let winners run.
- RRS below –2 (bright purple area) → clear distribution or capitulation. Avoid new longs, consider short entries or protective puts.
- Extreme readings above +4 or below –4 (background tint appears) → rare, very high-conviction moves. Treat these like once-a-month opportunities.
- Divergence (not plotted here, but easy to spot visually): price making new highs while the aqua area is shrinking → distribution. Price making new lows while the purple area is shrinking → hidden buying and coming reversal.
#### Best Settings by Style and Asset Class
For stocks and ETFs: keep benchmark as SPY (or QQQ for tech-heavy names) and length 14–20 on daily/4H charts.
For crypto: change the benchmark to BTCUSD (or ETHUSD) immediately — otherwise the reading is meaningless. Length 10–14 works best on 1H–4H crypto charts because volatility is higher.
For day trading: drop length to 10–12 and use 15-minute or 5-minute charts. Signals are faster and still extremely clean.
#### Highest-Edge Setups (What Actually Prints Money)
- RRS crosses above zero while price is still below a major moving average (50 EMA, 200 SMA, etc.) → early leadership, often catches the exact bottom of a new leg up.
- RRS already deep aqua (+3 or higher) and price pulls back to support without RRS dropping below +1 → textbook add-on or re-entry zone.
- RRS deep purple and suddenly turns flat or starts curling up while price is still falling → hidden accumulation, usually the exact low tick.
That’s it. Master these few rules and the RRS becomes one of the most powerful edge tools you will ever use for rotation trading...
Nifty Scalping System by Rakesh Sharma🎯 What This Indicator Does:
Core Features:
✅ Fast Entry/Exit Signals - Quick BUY/SELL labels on chart
✅ 3 Signal Modes:
Aggressive - More signals, faster entries
Moderate - Balanced (Recommended)
Conservative - Fewer but high-quality signals
✅ Automatic Target & Stop Loss - Plotted on chart as soon as you enter
✅ Time Filter - Only trades during your specified hours (9:20 AM - 3:15 PM default)
✅ Trade Statistics - Win rate, W/L ratio tracked automatically
✅ Live Dashboard - Shows trend, RSI, VWAP position, current trade status
Indicators Used:
📊 3 EMAs (9, 21, 50) - Trend direction
📈 Supertrend - Primary trend filter
💪 RSI - Momentum & overbought/oversold
💜 VWAP - Intraday support/resistance
📉 ATR - Dynamic stop loss & targets
📊 Volume - Confirmation of moves
⚙️ Best Settings for Nifty/Bank Nifty:
For 5-Minute Charts (Most Popular):
Signal Mode: Moderate
Target R:R: 1.5 (1:1.5 risk-reward)
Time Filter: 9:20 AM to 3:15 PM
For 3-Minute Charts (More Scalps):
Signal Mode: Aggressive
Target R:R: 1.0 (quick exits)
Time Filter: 9:20 AM to 3:15 PM
For 15-Minute Charts (Swing Scalping):
Signal Mode: Conservative
Target R:R: 2.0 (bigger targets)
Time Filter: 9:30 AM to 3:00 PM
💡 How to Use:
Step 1: Setup
Add indicator to 5-min Nifty or Bank Nifty chart
Choose your Signal Mode (start with Moderate)
Set Risk:Reward (1.5 is balanced)
Enable Time Filter (avoid first 10 mins)
Step 2: Trading
BUY Signal appears = Go LONG
Green label shows entry price
Green line = Target
Red line = Stop Loss
SELL Signal appears = Go SHORT
Red label shows entry price
Green line = Target
Red line = Stop Loss
Exit automatically when Target or SL is hit
Step 3: Risk Management
Automatic SL based on ATR (volatility)
Adjustable R:R ratio
Never trade outside session hours
🎯 Trading Rules (Important!):
✅ Take the Trade When:
Signal appears during trading session
Dashboard shows strong trend
Volume spike present
Price above/below VWAP (for buy/sell)
❌ Avoid Trading When:
First 10 minutes (9:15-9:25 AM)
Last 15 minutes (3:15-3:30 PM)
Dashboard shows "SIDEWAYS"
Major news events
📊 Dashboard Explained:
FieldWhat It MeansModeYour current signal sensitivityTrendOverall market directionRSIOverbought/Oversold/NeutralPrice vs VWAPAbove = Bullish, Below = BearishCurrent TradeShows if you're in a positionSessionTrading time active or notWin RateYour success %
🚀 Pro Tips for Nifty/Bank Nifty:
Best Timeframe: 5-minute chart
Best Time: 9:30 AM - 2:30 PM (avoid opening/closing rushes)
Risk per Trade: 1-2% of capital max
Follow the Trend: Take only BUY in uptrend, SELL in downtrend
Use Alerts: Set alerts so you don't miss signals
Start Small: Paper trade first with 1 lot
⚡ Quick Start Guide:
For Bank Nifty (5-min chart):
1. Signal Mode: Moderate
2. Target R:R: 1.5
3. Trading Hours: 9:20 AM - 3:15 PM
4. Watch for 3-5 signals per day
5. Average 30-50 points per trade
For Nifty 50 (5-min chart):
1. Signal Mode: Moderate
2. Target R:R: 1.5
3. Trading Hours: 9:20 AM - 3:15 PM
4. Watch for 3-5 signals per day
5. Average 15-30 points per trade
📈 Expected Performance:
Conservative Mode: 2-4 trades/day, 65-70% win rate
Moderate Mode: 4-8 trades/day, 55-65% win rate
Aggressive Mode: 8-15 trades/day, 45-55% win rate
This is a complete scalping system, Rakesh! All you need to do is:
Add to chart
Wait for signals
Follow the targets/stop losses
Track your stats
Ready to test it? Let me know if you want any adjustments! 🎯💰Claude can make mistakes. Please double-check responses.
Meet The Neural Brain: The "Glass Box" AnalystIt observes. It thinks. It speaks.
Most indicators are "Black Boxes"—they give you a signal, but they never tell you why. If you don't know the why, you can't trust the trade.
The Neural Brain is different. It is a "Glass Box" AI Market Analyst that lives on your chart. It breaks down its decision-making process into plain English, so you never have to guess.
How It "Thinks" (The 3-Layer Cortex)
It processes market data through three human-like layers:
1. PERCEPTION (The Eyes)
Forensic Analysis: It scans price action for "clean" vs. "noisy" movement.
Spread History: It tracks momentum expansion in real-time.
2. COGNITION (The Mind)
Mode Selection: It mathematically decides whether to TRACK a trend or REPEL choppy conditions.
Conviction Monitor: It tells you if its confidence in the trade is growing or fading.
3. NARRATIVE (The Voice)
The Killer Feature: It synthesizes all data into a final strategic summary displayed right on your screen:
"STRONG TREND + NOISY ACTION = HOLDING (Ignoring Noise)"
"Is this Real AI?"
Transparency is our priority. This is not "Generative AI" (like ChatGPT) that hallucinates or scours the internet. This is Expert Systems Machine Learning.
The Math: We utilize the Rational Quadratic Kernel, a sophisticated technique used in Gaussian Process Regression. This allows the code to "learn" the structure of volatility without being explicitly hard-coded. It adapts to the market curve.
The Logic: It mimics the thought process of a professional trader running a complex Decision Tree:
Human Thought: "The trend is up, but it's choppy, so I should wait."
Neural Logic: IF (Trend > 0) AND (Efficiency < 0.3) THEN Strategy = "HOLDING"
The Result: A Synthetic Cortex that adapts to the situation just like a pro trader would, giving you the clarity to execute with zero hesitation.
PinkSlips Sauce IndicatorChecklist v4PinkSlips’ personal checklist assistant for catching clean trend moves.
It stacks EMAs (20/50/200), checks RSI strength, filters chop with ATR, then prints a simple YES/NO checklist so you know when the sauce is actually there.
What it does
EMA trend filter (bullish / bearish structure)
RSI confirmation for high-probability longs & shorts
ATR chop filter so you avoid dead zones
On-chart checklist box: trend up/down, ATR OK, long/short ready, last signal
Optional LONG/SHORT labels on the candles for execution
Use this as your pre–entry checklist so you stop forcing trades and only take the clean PinkSlips setups.
MACD Forecast Colorful [DiFlip]MACD Forecast Colorful
The Future of Predictive MACD — is one of the most advanced and customizable MACD indicators ever published on TradingView. Built on the classic MACD foundation, this upgraded version integrates statistical forecasting through linear regression to anticipate future movements — not just react to the past.
With a total of 22 fully configurable long and short entry conditions, visual enhancements, and full automation support, this indicator is designed for serious traders seeking an analytical edge.
⯁ Real-Time MACD Forecasting
For the first time, a public MACD script combines the classic structure of MACD with predictive analytics powered by linear regression. Instead of simply responding to current values, this tool projects the MACD line, signal line, and histogram n bars into the future, allowing you to trade with foresight rather than hindsight.
⯁ Fully Customizable
This indicator is built for flexibility. It includes 22 entry conditions, all of which are fully configurable. Each condition can be turned on/off, chained using AND/OR logic, and adapted to your trading model.
Whether you're building a rules-based quant system, automating alerts, or refining discretionary signals, MACD Forecast Colorful gives you full control over how signals are generated, displayed, and triggered.
⯁ With MACD Forecast Colorful, you can:
• Detect MACD crossovers before they happen.
• Anticipate trend reversals with greater precision.
• React earlier than traditional indicators.
• Gain a powerful edge in both discretionary and automated strategies.
• This isn’t just smarter MACD — it’s predictive momentum intelligence.
⯁ Scientifically Powered by Linear Regression
MACD Forecast Colorful is the first public MACD indicator to apply least-squares predictive modeling to MACD behavior — effectively introducing machine learning logic into a time-tested tool.
It uses statistical regression to analyze historical behavior of the MACD and project future trajectories. The result is a forward-shifted MACD forecast that can detect upcoming crossovers and divergences before they appear on the chart.
⯁ Linear Regression: Technical Foundation
Linear regression is a statistical method that models the relationship between a dependent variable (y) and one or more independent variables (x). The basic formula for simple linear regression is:
y = β₀ + β₁x + ε
Where:
y = predicted variable (e.g., future MACD value)
x = independent variable (e.g., bar index)
β₀ = intercept
β₁ = slope
ε = random error (residual)
The regression model calculates β₀ and β₁ using the least squares method, minimizing the sum of squared prediction errors to produce the best-fit line through historical values. This line is then extended forward, generating a forecast based on recent price momentum.
⯁ Least Squares Estimation
The regression coefficients are computed with the following formulas:
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables.
⯁ Regression in Machine Learning
Linear regression is a foundational model in supervised learning. Its ability to provide precise, explainable, and fast forecasts makes it critical in AI systems and quantitative analysis.
Applying linear regression to MACD forecasting is the equivalent of injecting artificial intelligence into one of the most widely used momentum tools in trading.
⯁ Visual Interpretation
Picture the MACD values over time like this:
Time →
MACD →
A regression line is fitted to recent MACD values, then projected forward n periods. The result is a predictive trajectory that can cross over the real MACD or signal line — offering an early-warning system for trend shifts and momentum changes.
The indicator plots both current MACD and forecasted MACD, allowing you to visually compare short-term future behavior against historical movement.
⯁ Scientific Concepts Used
Linear Regression: models the relationship between variables using a straight line.
Least Squares Method: minimizes squared prediction errors for best-fit.
Time-Series Forecasting: projects future data based on past patterns.
Supervised Learning: predictive modeling using labeled inputs.
Statistical Smoothing: filters noise to highlight trends.
⯁ Why This Indicator Is Revolutionary
First open-source MACD with real-time predictive modeling.
Scientifically grounded with linear regression logic.
Automatable through TradingView alerts and bots.
Smart signal generation using forecasted crossovers.
Highly customizable with 22 buy/sell conditions.
Enhanced visuals with background (bgcolor) and area fill (fill) support.
This isn’t just an update — it’s the next evolution of MACD forecasting.
⯁ Example of simple linear regression with one independent variable
This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables.
⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x)
This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component.
⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab
Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models.
⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted
This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model.
⯁ Result of fitting a set of data points with a quadratic function
This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line.
⯁ What is the MACD?
The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram.
⯁ How to use the MACD?
The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line.
Here are the primary signals generated by the MACD:
• Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal.
• Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal.
• Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal.
• Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI.
⯁ How to use MACD forecast?
The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities.
Step 1 — Spot Predicted Crossovers:
Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move.
Step 2 — Confirm with Histogram Projection:
Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions.
Step 3 — Combine with Multi-Timeframe Analysis:
Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast).
Step 4 — Set Entry Conditions & Automation:
Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts.
Step 5 — Trade Ahead of the Market:
By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders.
📈 BUY
🍟 Signal Validity: The signal will remain valid for X bars.
🍟 Signal Sequence: Configurable as AND or OR.
🍟 MACD > Signal Smoothing
🍟 MACD < Signal Smoothing
🍟 Histogram > 0
🍟 Histogram < 0
🍟 Histogram Positive
🍟 Histogram Negative
🍟 MACD > 0
🍟 MACD < 0
🍟 Signal > 0
🍟 Signal < 0
🍟 MACD > Histogram
🍟 MACD < Histogram
🍟 Signal > Histogram
🍟 Signal < Histogram
🍟 MACD (Crossover) Signal
🍟 MACD (Crossunder) Signal
🍟 MACD (Crossover) 0
🍟 MACD (Crossunder) 0
🍟 Signal (Crossover) 0
🍟 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
📉 SELL
🍟 Signal Validity: The signal will remain valid for X bars.
🍟 Signal Sequence: Configurable as AND or OR.
🍟 MACD > Signal Smoothing
🍟 MACD < Signal Smoothing
🍟 Histogram > 0
🍟 Histogram < 0
🍟 Histogram Positive
🍟 Histogram Negative
🍟 MACD > 0
🍟 MACD < 0
🍟 Signal > 0
🍟 Signal < 0
🍟 MACD > Histogram
🍟 MACD < Histogram
🍟 Signal > Histogram
🍟 Signal < Histogram
🍟 MACD (Crossover) Signal
🍟 MACD (Crossunder) Signal
🍟 MACD (Crossover) 0
🍟 MACD (Crossunder) 0
🍟 Signal (Crossover) 0
🍟 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
🤖 Automation
All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies.
⯁ Unique Features
Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Background Colors: "bgcolor"
Background Colors: "fill"
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Background Colors: "bgcolor"
Background Colors: "fill"
Trinity CCI Pro PlusWhat It Is
Trinity CCI Pro Plus is an innovative overlay indicator that reimagines the classic Commodity Channel Index (CCI) by plotting its levels directly on the price chart. No more separate oscillator panel—instead, you get dynamic price-based bands and lines for instant momentum insights.
What You See on the Chart
Orange line: The CCI zero line (20-period SMA of typical price, hlc3)—acts as the baseline.
Aqua line: Dynamic upper band at CCI = +100 (overbought threshold).
Purple line: Dynamic lower band at CCI = -100 (oversold threshold).
Optional thick purple line: The extra SMA of CCI (14-period smooth) scaled back to price—serves as a signal line for crossovers.
Optional outer zones: ±200 bands (aqua/purple extensions) for extreme momentum levels, often added as dotted or filled areas to spot blow-off tops/bottoms.
Key Differences from Regular CCI
Standard CCI lives in a lower pane with fixed horizontal lines at +100, 0, and -100, forcing you to split your focus. This version overlays everything on price: the bands curve with market volatility, the zero line becomes a moving average, and the extra SMA/signal line integrates seamlessly for price-action trading. Plus, it naturally supports outer ±200 zones without extra coding, making extremes visually pop.
How Traders Use It
Momentum breakouts: Buy when price closes above the +100 aqua band (or +200 for aggressive entries); sell below -100 purple (or -200).
Mean reversion: Fade touches on the bands—take profits if price rejects the +100/-100 levels, or watch for exhaustion at ±200.
Trend bias: Price above orange zero = bullish filter; below = bearish. Use the extra SMA for confirmation (e.g., price crossing above it signals upside).
Crossover signals: Price vs. the thick purple SMA line—bullish above, bearish below—pairs perfectly with band breaks.
Range trading: Treat ±100 bands as dynamic support/resistance; outer ±200 zones highlight potential breakout setups.
This setup shines in trending markets (e.g., stocks or forex on 1H/daily charts), turning CCI into a one-glance channel system. Start with the defaults, add the ±200 and extra SMA via simple code tweaks, and backtest for your style—it's versatile and reduces screen clutter dramatically.
More Info
The 20 period MA is the original and still the most common setting for CCI, and it is exactly what the creator of the CCI, Donald Lambert, published it in 1980 with these exact parameters:
Length: 20 periods
Constant: 0.015 (to make CCI fall between +100 and –100 about 70–80 % of the time)
Typical Price: hlc3 (or sometimes (high + low + close)/3)
Deviation measure: Mean Deviation (not standard deviation)
So the “Trinity CCI Pro Plus” you are using is 100 % faithful to Lambert’s original design when the length is set to 20.
PST Bread Checklist v4Uses 50/200 EMA for higher-timeframe trend
Uses RSI zones + cross for entry
Adds volatility filter (ATR vs its own average)
Optional session filter (RTH 09:30–16:00)
Has a cooldown so you don’t get 10 labels in a row
Shows a checklist box + last signal






















