Stoch RSI Buy/Sell Signals with AlertsThis color code helps a novice know when to buy and when to sell
What Each Section Does
Header: //@version=5 tells TradingView which Pine Script version to use.
Indicator setup: indicator("Stoch RSI Buy/Sell Signals with Alerts", overlay=false) names your script and sets it to plot in a separate panel.
Inputs: Adjustable parameters for RSI length, Stoch length, and smoothing. You can tweak these in the settings panel.
Calculations: Builds RSI, then Stoch RSI, then smooths into %K and %D lines.
Signals: Defines buy (green) and sell (red) conditions based on crossovers and thresholds.
Color logic: Dynamically changes the %K line color (green/red/gray).
Plots: Draws %K (colored) and %D (blue) lines.
Background shading: Adds light green/red shading when signals fire for easy visual scanning.
Alerts: Pops up TradingView alerts when buy/sell conditions trigger, so you don’t miss them.
✅ Publishing Notes
Paste this into a new blank Pine Script editor starting at line 1.
Save and add it to your chart.
You’ll see the %K line flip colors, background shading, and alerts firing when conditions are met.
المؤشرات والاستراتيجيات
GEOtheGEMIt looks for when the fast EMA crosses above the slow one, and the trend is up. If RSI is above fifty—and volume jumps—it draws a green arrow and tells you buy. It trails the stop so you don't get shaken out. And if price drops below the two-hundred, it won't short you in a rally. That's it. Nothing fancy. Just: is it going up? Yes? Get in. No? Stay out.
Momentum Permission + Pivot Entry (v1.4 CLEAN ENTRY)//@version=5
indicator("Momentum Permission + Pivot Entry (v1.4 CLEAN ENTRY)", overlay=true)
// ─────────── INPUTS ───────────
pivotLookback = input.int(3, "Pivot Lookback")
smaLen = input.int(50, "SMA Length")
relVolTh = input.float(1.3, "RelVol Threshold")
// ─────────── TREND + MOMENTUM — BASICS ───────────
vwapLine = ta.vwap
smaLine = ta.sma(close, smaLen)
relVol = volume / ta.sma(volume, 10)
pivotLow = ta.lowest(low, pivotLookback) == low
trendUp = close > smaLine
aboveVWAP = close > vwapLine
greenCandle = close > open
// ─────────── PERMISSION (Context Only) ───────────
permitSignal = trendUp and (relVol > relVolTh)
// ─────────── ENTRY LOGIC — ONE CLEAN SIGNAL ───────────
rawEntry = permitSignal and aboveVWAP and pivotLow and greenCandle
// Anti-spam: only first signal in a move
entrySignal = rawEntry and not rawEntry
// ─────────── VISUAL SHAPES (Clean) ───────────
plotshape(permitSignal, style=shape.triangleup, color=color.lime, size=size.tiny, location=location.bottom, text="PERMIT")
plotshape(entrySignal, style=shape.triangleup, color=color.aqua, size=size.small, text="ENTRY")
// ─────────── TREND VISUALS ───────────
plot(vwapLine, "VWAP", color=color.blue, linewidth=2)
plot(smaLine, "SMA50", color=color.orange, linewidth=2)
One-Time 50 SMA Trend Start//@version=5
indicator("One-Time 50 SMA Trend Start", overlay=true)
// ─── Inputs ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
// ─── Calculations ────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
crossUp = ta.crossover(close, sma50)
// Track whether we've already fired today
var bool alerted = false
// Reset alert for new session
if ta.change(time("D"))
alerted := false
// Trigger one signal only
signal = crossUp and not alerted
if signal
alerted := true
// ─── Plots ───────────────────────────────────────────────
plot(sma50, color=color.orange, linewidth=2, title="50 SMA")
plotshape(
signal,
title="First Cross Above",
style=shape.triangleup,
color=color.new(color.green, 0),
size=size.large,
location=location.belowbar,
text="Trend"
)
bcon's bemas (5,8,13,21)simple ribbin i use for scalps. the 5 8 13 and 21 ema. like to see them lined up when i see a cross thats my sign to take profit
Interest Rate ExpectationsThis indicator shows how much rate cuts or hikes are currently priced into SOFR futures. You choose two SOFR contracts and the script converts each contract price into basis points relative to the current effective fed funds rate. This gives you a very clear view of how policy expectations shift over time.
You can switch between using a fixed EFFR value or pulling the live EFFR ticker. Colours for each line and label are fully adjustable. The script also includes an optional grid for the plus or minus 25, 50 and 75 basis point levels so the chart does not zoom out too far.
Labels appear at the end of both lines and display how many basis points of cuts or hikes are priced for each contract. A small reference box is added on the chart to remind you what each quarterly code represents. For example H is March and Z is December.
The background shading highlights changes in the timing of cuts. Green shading means the market is pushing cuts further out in time. Red shading means cuts are being pulled closer. This gives a simple and visual way to track how the curve reprices near term versus long term policy expectations.
This tool is useful for anyone tracking fed path repricing, front end volatility, macro catalysts or cross asset rate sensitivity.
Custom ORB (Adjust Time, Color, + Alerts)Set Opening Range Break Out for whatever time range you choose for current day only. 15 min, 30 min etc. You can add alerts on ORB High Low and change color of Lines.
KING Super Trend Hull (Multi MA)super trende ortalamalar eklendi. alexander ma degisken ortalama gibi..
SPX EMAs - Bala//@version=5
indicator("SPX EMAs", overlay = true)
// Inputs
ema8 = ta.ema(close, 8)
ema21 = ta.ema(close, 21)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
// Plot EMAs
plot(ema8, "EMA 8", color=color.new(color.green, 0), linewidth=2)
plot(ema21, "EMA 21", color=color.new(color.orange, 0), linewidth=2)
plot(ema50, "EMA 50", color=color.new(color.blue, 0), linewidth=2)
plot(ema200,"EMA 200",color=color.new(color.red, 0), linewidth=2)
PRO Trade Manager//@version=5
indicator("PRO Trade Manager", shorttitle="PRO Trade Manager", overlay=false)
// ============================================================================
// INPUTS
//This code and all related materials are the exclusive property of Trade Confident LLC. Any reproduction, distribution, modification, or unauthorized use of this code, in whole or in part, is strictly prohibited without the express written consent of Trade Confident LLC. Violations may result in civil and/or criminal penalties to the fullest extent of the law.
// © Trade Confident LLC. All rights reserved.
// ============================================================================
// Moving Average Settings
maLength = input.int(15, "Signal Strength", minval=1, tooltip="Length of the moving average to measure deviation from (lower = more sensitive)")
maType = "SMA" // Fixed to SMA, no longer user-selectable
// Deviation Settings
deviationLength = input.int(20, "Deviation Period", minval=1, tooltip="Lookback period for standard deviation calculation")
// Signal Frequency dropdown - controls both upper and lower thresholds
signalFrequency = input.string("More/Good Accuracy", "Signal Frequency", options= ,
tooltip="Normal/Highest Accuracy = ±2.0 StdDev | More/Good Accuracy = ±1.5 StdDev | Most/Moderate Accuracy = ±1.0 StdDev")
// Set thresholds based on selected frequency
upperThreshold = signalFrequency == "Most/Moderate Accuracy" ? 1.0 : signalFrequency == "More/Good Accuracy" ? 1.5 : 2.0
lowerThreshold = signalFrequency == "Most/Moderate Accuracy" ? -1.0 : signalFrequency == "More/Good Accuracy" ? -1.5 : -2.0
// Continuation Signal Settings
atrMultiplier = input.float(2.0, "TP/DCA Market Breakout Detection", minval=0, step=0.5, tooltip="Number of ATR moves required to trigger continuation signals (Set to 0 to disable)")
// Visual Settings
showMA = false // MA display removed from settings
showSignals = input.bool(true, "Show Alert Signals", tooltip="Show visual signals when price is overextended")
// ============================================================================
// CALCULATIONS
// ============================================================================
// Calculate Moving Average based on type
ma = switch maType
"SMA" => ta.sma(close, maLength)
"EMA" => ta.ema(close, maLength)
"WMA" => ta.wma(close, maLength)
"VWMA" => ta.vwma(close, maLength)
=> ta.sma(close, maLength)
// Calculate deviation from MA
deviation = close - ma
// Calculate standard deviation
stdDev = ta.stdev(close, deviationLength)
// Calculate number of standard deviations away from MA
deviationScore = stdDev != 0 ? deviation / stdDev : 0
// Smooth the deviation score slightly for cleaner signals
smoothedDeviation = ta.ema(deviationScore, 3)
// ============================================================================
// SIGNALS
// ============================================================================
// Overextended conditions
overextendedHigh = smoothedDeviation >= upperThreshold
overextendedLow = smoothedDeviation <= lowerThreshold
// Signal triggers (crossing into overextended territory)
bullishSignal = ta.crossunder(smoothedDeviation, lowerThreshold)
bearishSignal = ta.crossover(smoothedDeviation, upperThreshold)
// Track if we're in bright histogram zones
isBrightGreen = smoothedDeviation <= lowerThreshold
isBrightRed = smoothedDeviation >= upperThreshold
// Track if we were in bright zone on previous bar
wasBrightGreen = smoothedDeviation <= lowerThreshold
wasBrightRed = smoothedDeviation >= upperThreshold
// Detect oscillator turning up after bright green (buy signal)
// Trigger if we were in bright green and oscillator turns up, even if no longer bright green
oscillatorTurningUp = smoothedDeviation > smoothedDeviation
buySignal = barstate.isconfirmed and wasBrightGreen and oscillatorTurningUp and smoothedDeviation <= smoothedDeviation
// Detect oscillator turning down after bright red (sell signal)
// Trigger if we were in bright red and oscillator turns down, even if no longer bright red
oscillatorTurningDown = smoothedDeviation < smoothedDeviation
sellSignal = barstate.isconfirmed and wasBrightRed and oscillatorTurningDown and smoothedDeviation >= smoothedDeviation
// ============================================================================
// ATR-BASED CONTINUATION SIGNALS
// ============================================================================
// Calculate ATR for distance measurement
atrLength = 14
atr = ta.atr(atrLength)
// Track price levels when ANY sell or buy signal occurs (original or continuation)
var float lastSellPrice = na
var float lastBuyPrice = na
// Initialize tracking on original signals
if sellSignal
lastSellPrice := close
if buySignal
lastBuyPrice := close
// Continuation Sell Signal: Price moved up by ATR multiplier from last red dot
// Disabled when atrMultiplier is set to 0
continuationSell = atrMultiplier > 0 and barstate.isconfirmed and not na(lastSellPrice) and close >= lastSellPrice + (atrMultiplier * atr)
// Continuation Buy Signal: Price moved down by ATR multiplier from last green dot
// Disabled when atrMultiplier is set to 0
continuationBuy = atrMultiplier > 0 and barstate.isconfirmed and not na(lastBuyPrice) and close <= lastBuyPrice - (atrMultiplier * atr)
// Update reference prices when continuation signals trigger (reset the 3 ATR counter)
if continuationSell
lastSellPrice := close
if continuationBuy
lastBuyPrice := close
// Combine original and continuation signals for plotting
allBuySignals = buySignal or continuationBuy
allSellSignals = sellSignal or continuationSell
// Track if a signal occurred to keep it visible on dashboard
// Signals trigger at barstate.isconfirmed (bar close)
var bool showBuyOnDashboard = false
var bool showSellOnDashboard = false
// Update dashboard flags immediately when signals occur
if allBuySignals
showBuyOnDashboard := true
showSellOnDashboard := false
else if allSellSignals
showSellOnDashboard := true
showBuyOnDashboard := false
else if barstate.isconfirmed
// Reset flags on bar close if no new signal
showBuyOnDashboard := false
showSellOnDashboard := false
// ============================================================================
// PLOTTING
// ============================================================================
// Professional color scheme
var color colorBullish = #00C853 // Professional green
var color colorBearish = #FF1744 // Professional red
var color colorNeutral = #2962FF // Professional blue
var color colorGrid = #363A45 // Dark gray for lines
var color colorBackground = #1E222D // Chart background
// Dynamic line color based on value
lineColor = smoothedDeviation > upperThreshold ? colorBearish :
smoothedDeviation < lowerThreshold ? colorBullish :
smoothedDeviation > 0 ? color.new(colorBearish, 50) :
color.new(colorBullish, 50)
// Plot the deviation oscillator with dynamic coloring
plot(smoothedDeviation, "Deviation Score", color=lineColor, linewidth=2)
// Plot zero line
hline(0, "Zero Line", color=color.new(colorGrid, 0), linestyle=hline.style_solid, linewidth=1)
// Subtle fill for overextended zones (without visible threshold lines)
upperLine = hline(upperThreshold, "Upper Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1)
lowerLine = hline(lowerThreshold, "Lower Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1)
fill(upperLine, hline(3), color=color.new(colorBearish, 95), title="Overextended High Zone")
fill(lowerLine, hline(-3), color=color.new(colorBullish, 95), title="Overextended Low Zone")
// Histogram style visualization (optional alternative)
histogramColor = smoothedDeviation >= upperThreshold ? color.new(colorBearish, 20) :
smoothedDeviation <= lowerThreshold ? color.new(colorBullish, 20) :
smoothedDeviation > 0 ? color.new(colorBearish, 80) :
color.new(colorBullish, 80)
plot(smoothedDeviation, "Histogram", color=histogramColor, style=plot.style_histogram, linewidth=3)
// ============================================================================
// BUY/SELL SIGNAL MARKERS
// ============================================================================
// Plot buy signals at -3.5 level (includes both initial and extended signals)
plot(allBuySignals ? -3.5 : na, title="Buy Signal", style=plot.style_circles,
color=color.new(colorBullish, 0), linewidth=4)
// Plot sell signals at 3.5 level (includes both initial and extended signals)
plot(allSellSignals ? 3.5 : na, title="Sell Signal", style=plot.style_circles,
color=color.new(colorBearish, 0), linewidth=4)
// ============================================================================
// ALERTS - SIMPLIFIED TO ONLY TWO ALERTS
// ============================================================================
// Alert 1: Long Entry/Short TP - fires on ANY green dot (original or continuation)
alertcondition(allBuySignals, "Long Entry/Short TP", "Long Entry/Short TP")
// Alert 2: Long TP/Short Entry - fires on ANY red dot (original or continuation)
alertcondition(allSellSignals, "Long TP/Short Entry", "Long TP/Short Entry")
// ============================================================================
// DATA DISPLAY
// ============================================================================
// Create a professional table for current readings
var color tableBgColor = #1a2332 // Dark blue background
var table infoTable = table.new(position.middle_right, 2, 2, border_width=1,
border_color=color.new(#2962FF, 30),
frame_width=1,
frame_color=color.new(#2962FF, 30))
if barstate.islast
// Determine status
statusText = overextendedHigh ? "OVEREXTENDED ↓" :
overextendedLow ? "OVEREXTENDED ↑" :
smoothedDeviation > 0 ? "Buyers In Control" : "Sellers In Control"
statusColor = overextendedHigh ? color.new(colorBearish, 0) :
overextendedLow ? color.new(colorBullish, 0) :
color.white
// Background color for status cell
statusBgColor = color.new(tableBgColor, 0)
// Status Row
table.cell(infoTable, 0, 0, "Status",
bgcolor=color.new(tableBgColor, 0),
text_color=color.white,
text_size=size.normal)
table.cell(infoTable, 1, 0, statusText,
bgcolor=statusBgColor,
text_color=statusColor,
text_size=size.normal)
// Signal Row - always show
table.cell(infoTable, 0, 1, "Signal",
bgcolor=color.new(tableBgColor, 0),
text_color=color.white,
text_size=size.normal)
// Show signal if flags are set (will stay visible during the bar)
if showBuyOnDashboard or showSellOnDashboard
// Green dot (buy signal) = "Long Entry/Short TP" with arrow up, white text on green background
// Red dot (sell signal) = "Long TP/Short Entry" with arrow down, white text on red background
signalText = showBuyOnDashboard ? "↑ Long Entry/Short TP" : "↓ Long TP/Short Entry"
signalColor = showBuyOnDashboard ? color.new(colorBullish, 0) : color.new(colorBearish, 0)
table.cell(infoTable, 1, 1, signalText,
bgcolor=signalColor,
text_color=color.white,
text_size=size.normal)
else
table.cell(infoTable, 1, 1, "Watching...",
bgcolor=color.new(tableBgColor, 0),
text_color=color.new(color.white, 60),
text_size=size.normal)
Interactive Compound Interest ProjectorThis indicator is an interactive tool designed for long-term investors and analysts who want to compare an asset's performance against a theoretical compound interest growth curve.
Unlike static tools, this script utilizes the Interactive Anchor feature. This allows you to click on any specific point on the chart (e.g., a market bottom, a specific entry date, or a previous all-time high) to serve as the starting point ("Principal") for the projection.
How to use
Add the indicator to your chart.
Important: Because confirm=true is enabled, the script will wait for you to click on the chart. Click on the specific candle you want to use as the "Start Date".
The Yellow Line will appear starting from that candle.
Open the indicator settings to adjust:
Annual Interest Rate: (Default 6.0%).
Project until Year: (Default 2050).
Use this to visualize if an asset is "beating" a standard benchmark (like a 10% S&P500 average or a 4% risk-free rate) from a specific moment in time.
Disclaimer: This tool is for educational and comparative analysis purposes only and does not guarantee future results.
Multi-TF Candle Gap DetectorHigh timeframe gap detector, these work well to identify key levels to trade from
TMT Sessions - Hitesh NimjeTMT Sessions - Hitesh Nimje Indicator
Overview
The TMT Sessions indicator is a comprehensive trading tool designed to visualize and analyze the four major global trading sessions. It provides session-based technical analysis including ranges, trends, averages, and statistical metrics for each trading session.
Key Features
Four Global Trading Sessions
1. Session A - New York (13:00-22:00 UTC)
Color: Blue (#0000FF)
Default timeframe: US/Eastern market hours
2. Session B - London (07:00-16:00 UTC)
Color: Black (#000000)
Default timeframe: European market hours
3. Session C - Tokyo (00:00-09:00 UTC)
Color: Red (#FF0000)
Default timeframe: Asian market hours
4. Session D - Sydney (21:00-06:00 UTC)
Color: Orange (#FFA500)
Default timeframe: Australian market hours
Technical Analysis Tools
Range Analysis:
* Visual range boxes showing session high/low boundaries
* Transparent background areas with configurable transparency
* Range outline borders
* Session labels with customizable text display
Trend Analysis:
* Linear regression trendlines for each session
* Statistical metrics including:
R-squared values for trend strength
Standard deviation calculations
Correlation measurements
Statistical Indicators:
* Session Averages: Simple Moving Averages (SMA) calculated within each session
* VWAP: Volume Weighted Average Price for session-based intraday analysis
* Max/Min Lines: Highest and lowest prices recorded during each session
Visual Elements
Session Dividers:
* Visual markers showing session start/end points
* Session identification symbols (NYE, LDN, TYO, SYD)
* Configurable divider display options
Dashboard Features:
* Basic Dashboard: Session status (Active/Inactive) with color-coded indicators
* Advanced Dashboard: Additional metrics including:
Session trend strength (R-squared values)
Volume data
Standard deviation statistics
* Multiple dashboard positions (Top Right, Bottom Right, Bottom Left)
* Configurable text sizes (Tiny, Small, Normal)
Customization Options
Timezone Management:
* UTC offset adjustment (+/- hours)
* Exchange timezone option for automatic adjustment
* Session time customization
Display Settings:
* Individual session enable/disable
* Color customization for each session
* Range area transparency control
* Line description display toggle
* Session text label configuration
Use Cases
1. Session-Based Trading: Identify optimal trading times for each global session
2. Range Trading: Use session ranges as support/resistance levels
3. Trend Analysis: Track session-specific trends and momentum
4. Statistical Analysis: Monitor session volatility and trend strength
5. Market Structure: Understand how price moves across different trading sessions
Technical Specifications
* Pine Script Version: 6
* Overlays: True (displays on price chart)
* Performance: Optimized for up to 500 bars back
* Multi-element Support: Handles up to 500 lines, boxes, and labels
* Data Source: Compatible with all trading instruments and timeframes
Benefits for Traders
1. Global Market Awareness: Visual representation of all major trading sessions
2. Session Analysis: Automated calculation of key session statistics
3. Trading Strategy Development: Session-based entry and exit signals
4. Risk Management: Session ranges for stop-loss and take-profit levels
5. Market Timing: Optimal trading session identification
This indicator is particularly valuable for forex traders, day traders, and anyone who needs to understand price behavior across different global market sessions. It combines multiple technical analysis concepts into a unified, session-focused trading tool.
TRADING DISCLAIMER
RISK WARNING
Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. You should carefully consider whether trading is suitable for you in light of your circumstances, knowledge, and financial resources.
NO FINANCIAL ADVICE
This indicator is provided for educational and informational purposes only. It does not constitute:
* Financial advice or investment recommendations
* Buy/sell signals or trading signals
* Professional investment advice
* Legal, tax, or accounting guidance
LIMITATIONS AND DISCLAIMERS
Technical Analysis Limitations
* Pivot points are mathematical calculations based on historical price data
* No guarantee of accuracy of price levels or calculations
* Markets can and do behave irrationally for extended periods
* Past performance does not guarantee future results
* Technical analysis should be used in conjunction with fundamental analysis
Data and Calculation Disclaimers
* Calculations are based on available price data at the time of calculation
* Data quality and availability may affect accuracy
* Pivot levels may differ when calculated on different timeframes
* Gaps and irregular market conditions may cause level failures
* Extended hours trading may affect intraday pivot calculations
Market Risks
* Extreme market volatility can invalidate all technical levels
* News events, economic announcements, and market manipulation can cause gaps
* Liquidity issues may prevent execution at calculated levels
* Currency fluctuations, inflation, and interest rate changes affect all levels
* Black swan events and market crashes cannot be predicted by technical analysis
USER RESPONSIBILITIES
Due Diligence
* You are solely responsible for your trading decisions
* Conduct your own research before using this indicator
* Verify calculations with multiple sources before trading
* Consider multiple timeframes and confirm levels with other technical tools
* Never rely solely on one indicator for trading decisions
Risk Management
* Always use proper risk management and position sizing
* Set appropriate stop-losses for all positions
* Never risk more than you can afford to lose
* Consider the inherent risks of leverage and margin trading
* Diversify your portfolio and trading strategies
Professional Consultation
* Consult with qualified financial advisors before trading
* Consider your tax obligations and legal requirements
* Understand the regulations in your jurisdiction
* Seek professional advice for complex trading strategies
LIMITATION OF LIABILITY
Indemnification
The creator and distributor of this indicator shall not be liable for:
* Any trading losses, whether direct or indirect
* Inaccurate or delayed price data
* System failures or technical malfunctions
* Loss of data or profits
* Interruption of service or connectivity issues
No Warranty
This indicator is provided "as is" without warranties of any kind:
* No guarantee of accuracy or completeness
* No warranty of uninterrupted or error-free operation
* No warranty of merchantability or fitness for a particular purpose
* The software may contain bugs or errors
Maximum Liability
In no event shall the liability exceed the purchase price (if any) paid for this indicator. This limitation applies regardless of the theory of liability, whether contract, tort, negligence, or otherwise.
REGULATORY COMPLIANCE
Jurisdiction-Specific Risks
* Regulations vary by country and region
* Some jurisdictions prohibit or restrict certain trading strategies
* Tax implications differ based on your location and trading frequency
* Commodity futures and options trading may have additional requirements
* Currency trading may be regulated differently than stock trading
Professional Trading
* If you are a professional trader, ensure compliance with all applicable regulations
* Adhere to fiduciary duties and best execution requirements
* Maintain required records and reporting
* Follow market abuse regulations and insider trading laws
TECHNICAL SPECIFICATIONS
Data Sources
* Calculations based on TradingView data feeds
* Data accuracy depends on broker and exchange reporting
* Historical data may be subject to adjustments and corrections
* Real-time data may have delays depending on data providers
Software Limitations
* Internet connectivity required for proper operation
* Software updates may change calculations or functionality
* TradingView platform dependencies may affect performance
* Third-party integrations may introduce additional risks
MONEY MANAGEMENT RECOMMENDATIONS
Conservative Approach
* Risk only 1-2% of capital per trade
* Use position sizing based on volatility
* Maintain adequate cash reserves
* Avoid over-leveraging accounts
Portfolio Management
* Diversify across multiple strategies
* Don't put all capital into one approach
* Regularly review and adjust trading strategies
* Maintain detailed trading records
FINAL LEGAL NOTICES
Acceptance of Terms
* By using this indicator, you acknowledge that you have read and understood this disclaimer
* You agree to assume all risks associated with trading
* You confirm that you are legally permitted to trade in your jurisdiction
Updates and Changes
* This disclaimer may be updated without notice
* Continued use constitutes acceptance of any changes
* It is your responsibility to stay informed of updates
Governing Law
* This disclaimer shall be governed by the laws of the jurisdiction where the indicator was created
* Any disputes shall be resolved in the appropriate courts
* Severability clause: If any part of this disclaimer is invalid, the remainder remains enforceable
REMEMBER: THERE ARE NO GUARANTEES IN TRADING. THE MAJORITY OF RETAIL TRADERS LOSE MONEY. TRADE AT YOUR OWN RISK.
Contact Information:
* Creator: Hitesh_Nimje
* Phone: Contact@8087192915
* Source: Thought Magic Trading
© HiteshNimje - All Rights Reserved
This disclaimer should be prominently displayed whenever the indicator is shared, sold, or distributed to ensure users are fully aware of the risks and limitations involved in trading.
Sai Scalper ProSai Scalper Pro – Feature Summary
Trend Engine
- ATR-based trailing stop with Fibonacci levels (61.8%, 78.6%, 88.6%)
- Auto trend detection with swing point tracking
Scalping Detection (0-10 Score)
- Analyzes 7 factors: ATR compression, ADX, Volume, Range, Consolidation, RSI, BB Squeeze
- Smart state machine with hysteresis to prevent false signals
- Adjustable sensitivity & stability settings
Cloud Modes (7 Options)
- Full Zone, Entry Zone, Premium/Discount, Fib Bands, Upper/Middle/Lower Band
Pro Dashboard
- Real-time scalp score with visual meter
- Entry quality rating & zone display
- Suggested TP/SL based on ATR
- Session detection (Sydney/Tokyo/London/NY) with overlap alerts
- 3 styles (Minimal/Pro/Full) × 4 sizes × 9 positions
Alerts
- Scalp ready, Prime conditions (8+), Optimal entry zone
- Direction-specific (Long/Short bias)
Combines trend-following Fibonacci analysis with intelligent ranging detection for optimal scalping opportunities.
10% and 23.6% support bandsWhen a share is in momentum and showing lot of strength that relative strength it takes breather at 10% band from new 52 week high and and tends to consolidate at 23.6% from new 52 week high. This forms a higher low and gives opportunity to get in the rally. The volume bars should be taken into consideration as low volume and dry up at the bottom indicate reversal is coming. The stoploss for all entry is 1% below recent base low and entry pont is crossing of weekly high with greater than 20 days volume average.
HARRISH DADE//@version=5
strategy("Nifty 15m ORB + 20 EMA + Volume - Signals Fixed", overlay=true,
initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=25,
process_orders_on_close=true)
// 15-minute timeframe check
if timeframe.period != "15"
runtime.error("Use this strategy on 15 minute timeframe only")
// ORB 9:15–9:30 High/Low
var float orbHigh = na
var float orbLow = na
newDay = ta.change(time("D")) != 0
if newDay
orbHigh := na
orbLow := na
sessStart = 0915
sessEnd = 0930
hhmm = hour * 100 + minute
inORB = hhmm >= sessStart and hhmm < sessEnd
if inORB
orbHigh := na(orbHigh) ? high : math.max(orbHigh, high)
orbLow := na(orbLow) ? low : math.min(orbLow, low)
// Plot ORB levels
plot(orbHigh, "ORB High", color=color.new(color.green, 0), linewidth=2)
plot(orbLow, "ORB Low", color=color.new(color.red, 0), linewidth=2)
// Trend filter - 20 EMA
emaLen = input.int(20, "EMA Length", minval=1)
ema20 = ta.ema(close, emaLen)
upTrend = close > ema20
dnTrend = close < ema20
plot(ema20, "EMA 20", color=color.orange, linewidth=2)
// Volume filter - Adaptive
volLen = input.int(20, "Volume MA Length", minval=1)
avgVol = ta.sma(volume, volLen)
volMult = input.float(1.5, "Volume Multiplier", step=0.1)
enoughVol = volume >= (avgVol * volMult)
// ORB complete check
orbLocked = not na(orbHigh) and not na(orbLow) and not inORB
// Entry conditions (for strategy)
longCond = orbLocked and ta.crossover(close, orbHigh) and upTrend and enoughVol
shortCond = orbLocked and ta.crossunder(close, orbLow) and dnTrend and enoughVol
// Risk Management
targetPts = input.float(40.0, "Target Points", step=1.0)
slPts = input.float(25.0, "Stoploss Points", step=1.0)
// STRATEGY ENTRIES
if longCond and strategy.position_size == 0
strategy.entry("LONG", strategy.long)
if shortCond and strategy.position_size == 0
strategy.entry("SHORT", strategy.short)
// STRATEGY EXITS
if strategy.position_size > 0
strategy.exit("LONG EXIT", from_entry="LONG",
limit=strategy.position_avg_price + targetPts,
stop=strategy.position_avg_price - slPts)
if strategy.position_size < 0
strategy.exit("SHORT EXIT", from_entry="SHORT",
limit=strategy.position_avg_price - targetPts,
stop=strategy.position_avg_price + slPts)
// **FIXED BUY/SELL SIGNALS** - No barstate.isconfirmed, direct conditions
plotshape(longCond, title="BUY", style=shape.triangleup, location=location.belowbar,
color=color.new(color.lime, 0), size=size.large, text="BUY", textcolor=color.white)
plotshape(shortCond, title="SELL", style=shape.triangledown, location=location.abovebar,
color=color.new(color.red, 0), size=size.large, text="SELL", textcolor=color.white)
// Debug table - shows if conditions met
if barstate.islast
var table debugTable = table.new(position.top_right, 2, 6, bgcolor=color.white, border_width=1)
table.cell(debugTable, 0, 0, "Condition", text_color=color.black, bgcolor=color.gray)
table.cell(debugTable, 1, 0, "Status", text_color=color.black, bgcolor=color.gray)
table.cell(debugTable, 0, 1, "ORB Locked", text_color=color.black)
table.cell(debugTable, 1, 1, str.tostring(orbLocked), text_color=orbLocked ? color.green : color.red)
table.cell(debugTable, 0, 2, "UpTrend", text_color=color.black)
table.cell(debugTable, 1, 2, str.tostring(upTrend), text_color=upTrend ? color.green : color.red)
table.cell(debugTable, 0, 3, "Enough Vol", text_color=color.black)
table.cell(debugTable, 1, 3, str.tostring(enoughVol), text_color=enoughVol ? color.green : color.red)
Ind-Suite: The Ultimate Strategic Dashboard [Gap/Dow/MA/SR]概要 Ind-Suiteは、トレードに必要な4つの重要な要素（窓、市場構造、移動平均線、水平線）を1つのインジケーターに統合した包括的なトレーディング・スイートです。 このツールの目的は、単一のサインに頼るのではなく、複数の根拠が重なる「コンフルエンス（Confluence）」を視覚的に発見することにあります。
機能モジュール 設定画面の「⚡ MODULE TOGGLES ⚡」から、各モジュールのON/OFFを瞬時に切り替えられます。
Module A: Gaps (窓)
未埋めの窓（Gap）をボックスで表示します。
価格が引き寄せられるターゲットとして機能します。一定期間経過した窓は自動的に非表示になります。
Module B: Dow Structure (ダウ理論と構造)
ZigZagラインによる波の描画と、トレンド状態の判定。
BOS (Break of Structure): トレンド継続のブレイクポイントにラベルを表示。
下落トレンド時は背景色が変化し、視覚的にトレンドを把握できます。
Module C: Safe Scaffold (足場と勢い)
EMA (9/20) & VWAP: トレンドフォローのための主要な移動平均線。
Bollinger Bands: ボラティリティの確認用（ON/OFF可能）。
Signal: EMAクロスとバンド幅拡大（スクイーズからのエクスパンション）を検知したロングサインを表示。
Module D: S/R Guardian (水平線)
過去のPivot点をベースに、意識されやすいサポート・レジスタンスラインを自動描画します。
強度に基づいてラインが統合され、重要度が高い価格帯を可視化します。
推奨される使い方 すべてのモジュールを常にONにする必要はありません。チャートが情報過多にならないよう、必要な機能だけを選択して表示してください。 例えば、「S/Rライン」での反発、「Dow Structure」でのBOS、「Gap」の埋め完了など、3つ以上の根拠が重なるポイントは、優位性の高いエントリーポイントとなります。
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Overview Ind-Suite is a comprehensive trading suite that integrates four essential elements (Gaps, Market Structure, Moving Averages, and Support/Resistance) into a single indicator. The goal of this tool is not to rely on a single signal, but to visually identify "Confluence" where multiple factors align.
Feature Modules You can instantly toggle each module ON/OFF via the "⚡ MODULE TOGGLES ⚡" in the settings.
Module A: Gaps
Highlights unclosed gaps with boxes.
These act as price magnets/targets. Old gaps are automatically hidden after a set period.
Module B: Dow Structure (Trend & Market Structure)
Draws ZigZag waves and determines trend status based on pivot points.
BOS (Break of Structure): Labels are displayed at key breakout points confirming trend continuation.
Background color changes during downtrends for instant visual recognition.
Module C: Safe Scaffold (Momentum & MAs)
EMA (9/20) & VWAP: Key moving averages for trend following.
Bollinger Bands: For volatility analysis (Toggle available).
Signal: Displays Long signals upon EMA crossover combined with BBW expansion (volatility breakout).
Module D: S/R Guardian (Support & Resistance)
Automatically draws S/R zones based on historical pivot points.
Levels are merged based on proximity, visualizing significant price zones.
Recommended Usage It is not necessary to keep all modules ON at all times. Toggle features as needed to keep your chart clean. High-probability setups are often found where multiple factors converge (Confluence). For example: A bounce off an "S/R Line," confirmed by a "BOS" in Dow Structure, coinciding with a "Gap" fill.
Self-Organized Criticality - Avalanche DistributionHere's all you need to know: This indicator applies Self-Organized Criticality (SOC) theory to financial markets, measuring the power-law exponent (alpha) of price drawdown distributions. It identifies whether markets are in stable Gaussian regimes or critical states where large cascading moves become more probable.
Self-Organized Criticality
SOC theory, introduced by Per Bak, Tang, and Wiesenfeld (1987), describes how complex systems naturally evolve toward critical (fragile) states. An example is a sand pile: adding grains creates avalanches whose sizes follow a power-law distribution rather than a normal distribution.
Financial markets exhibit similar behavior. Price movements aren't purely random walks—they display:
Fat-tailed distributions (more extreme events than Gaussian models predict)
Scale invariance (no characteristic avalanche size)
Intermittent dynamics (periods of calm punctuated by large cascades)
Power-Law Distributions
When a system is in a critical state, the probability of an avalanche of size s follows:
P(s) ∝ s^(-α)
Where:
α (alpha) is the power-law exponent
Higher α → distribution resembles Gaussian (large events rare)
Lower α → heavy tails dominate (large events common)
This indicator estimates α from the empirical distribution of price drawdowns.
Mathematical Method
1. Avalanche Detection
The indicator identifies local price peaks (highest point in a lookback window), then measures the percentage drawdown to the next trough. A dynamic ATR-based threshold filters out noise—small drops in calm markets count, but the bar rises in volatile periods.
2. Logarithmic Binning
Avalanche sizes are sorted into logarithmically-spaced bins (e.g., 1-2%, 2-4%, 4-8%) rather than linear bins. This captures power-law behavior across multiple scales - a 2% drop and 20% crash both matter. The indicator creates 12 adaptive bins spanning from your smallest to largest observed avalanche.
3. Bin-to-Bin Ratio Estimation
For each pair of adjacent bins, we calculate:
α ≈ log(N₁/N₂) / log(s₂/s₁)
Where N₁ and N₂ are avalanche counts, s₁ and s₂ are bin sizes.
Example: If 2% drops happen 4× more often than 4% drops, then α ≈ log(4)/log(2) ≈ 2.0.
We get 8-11 independent estimates and average them. This is more robust than fitting one line through all points—outliers can't dominate.
4. Rolling Window Analysis
Alpha recalculates using only recent avalanches (default: last 500 bars). Old data drops out as new avalanches occur, so the indicator tracks regime shifts in real-time.
Regime Classification
🟢 Gaussian α ≥ 2.8 Normal distribution behavior; large moves are rare outliers
🟡 Transitional 1.8 ≤ α < 2.8 Moderate fat tails; system approaching criticality
🟠 Critical 1.0 ≤ α < 1.8 Heavy tails; large avalanches increasingly common
🔴 Super-Critical α < 1.0 Extreme tail risk; system prone to cascading failures
What Alpha Tells You
Declining alpha → Market moving toward criticality; tail risk increasing
Rising alpha → Market stabilizing; returns to normal distribution
Persistent low alpha → Sustained fragility; heightened crash probability
Supporting Metrics
Heavy Tail %: Concentration of total drawdown in largest 10% of events
Populated Bins: Data coverage quality (11-12 out of 12 is ideal)
Avalanche Count: Sample size for statistical reliability
Limitations
This is a distributional measure, not a timing indicator. Low alpha indicates increased systemic risk but doesn't predict when a cascade will occur. Only that the probability distribution has shifted toward larger events.
How This Differs from the Per Bak Fragility Index
The SOC Avalanche Distribution calculates the power-law exponent (alpha) directly from price drawdown distributions - a pure mathematical analysis requiring only price data. The Per Bak Fragility Index aggregates external stress indicators (VIX, SKEW, credit spreads, put/call ratios) into a weighted composite score.
Technical Notes
Default settings optimized for daily and weekly timeframes on major indices
Requires minimum 200 bars of history for stable estimates
ATR-based dynamic sizing prevents scale-dependent bias
Alerts available for regime transitions and super-critical entry
References
Bak, P., Tang, C., & Wiesenfeld, K. (1987). Self-organized criticality: An explanation of the 1/f noise. Physical Review Letters.
Sornette, D. (2003). Why Stock Markets Crash: Critical Events in Complex Financial Systems. Princeton University Press.
50 EMA HLC Tejas50 EMA with All important sources. Made it with 50 EMA and Based on my understanding and observations.
