Gold 15m: Trend + S/R + Liquidity Sweep (RR 1:2)This strategy is designed for short-term trading on XAUUSD (Gold) using the 15-minute timeframe. It combines trend direction, support/resistance pivots, liquidity sweep detection, and momentum confirmation to identify high-probability reversal setups in line with the dominant market trend.
⚙️ Core Logic:
Trend Filter (EMA 200):
The strategy only takes long positions when price is above the 200 EMA and short positions when price is below it.
Support/Resistance via Pivots:
Dynamic swing highs and lows are identified using pivot points. These act as local supply and demand levels where liquidity is likely to accumulate.
Liquidity Sweep Detection:
A bullish liquidity sweep occurs when price briefly breaks below the last pivot low (grabbing liquidity) and then closes back above it.
A bearish sweep occurs when price breaks above the last pivot high and then closes back below.
Momentum & Candle Strength:
The strategy filters signals based on candle range and body size to ensure entries occur during strong price reactions, not weak retracements.
Risk Management (1:2 RR):
Stop-loss is placed slightly beyond the last pivot level using ATR-based buffers, and take-profit is set at 2× the risk distance, maintaining a reward-to-risk ratio of 1:2.
💼 Trade Logic Summary:
Long Entry:
After a bullish liquidity sweep & reclaim, momentum confirmation, and trend alignment (above EMA 200).
Short Entry:
After a bearish sweep & reclaim, momentum confirmation, and trend alignment (below EMA 200).
Exit:
Automated via ATR-based Stop Loss and Take Profit targets.
📊 Customization Options:
Adjustable EMA length, pivot settings, ATR multipliers, and RR ratio.
Option to enable/disable trend filter.
Toggle display of S/R zones on chart.
🧠 Best Use:
Works best during London and New York sessions when Gold shows strong momentum.
Can be adapted for forex pairs and indices by tuning ATR and pivot parameters.
אינדיקטורים ואסטרטגיות
Session Highs and LowsShows the current and previous session highs and lows for the New York, London and Asian sessions
Checklist Core Functionality
Manual Trade Setup Checklist: Provides 5 key trading criteria that traders can manually check off when conditions are met
Visual Confirmation System: Displays a clean table with checkmarks (✅) for completed criteria
Real-time Progress Tracking: Shows which trading setup conditions have been satisfied
Checklist Items
Retrace < 78.6% - Fibonacci retracement level check
ATR Entry - Average True Range based entry condition
CHoCH+ - Change of Character (market structure shift)
5m EG - 5-minute entry guide/pattern
PullBack < 78.6% - Pullback depth limitation
Key Features
Customizable Display: Full control over colors, text sizes, and table positioning
Flexible Placement: Table can be positioned in 6 different locations on the chart
Reset Function: Quick reset button to clear all checkmarks and start fresh
Visual Scoring: Color-coded system (bullish/bearish/neutral) to indicate checklist progress
Entry Guidance: Shows either "🎯" for confirmed entry or "61.8%" for retracement level
Purpose
This indicator helps traders maintain discipline by ensuring all criteria are met before entering trades, reducing emotional decisions and enforcing a systematic approach to trading setups. It's particularly useful for price action traders who follow specific entry protocols and want to document their decision-making process directly on the chart.
Option Buying Strategy By Raj PandyaThis strategy is designed for intraday trading on BankNifty using a powerful confluence of trend, structure and momentum. It combines the 9-period Exponential Moving Average (EMA) with Daily Traditional Pivot Points to identify high-probability breakout trades.
A Long (CALL) signal is generated when price crosses and closes above both the 9 EMA and the Daily Pivot Point (PP), confirming upward trend strength. A Short (PUT) signal triggers when price crosses and closes below the 9 EMA and PP, signaling downside momentum. To reduce false signals, the strategy uses RSI with a moving average filter to ensure momentum aligns with price action.
Risk management is built-in with previous candle high/low stop-loss, a fixed 50-point target, and an automatic trailing stop system to protect profits on trending days. This helps capitalize on strong momentum while managing risk effectively.
This strategy works best on the 5-minute timeframe and is optimized for BankNifty futures/options. It aims to capture clean directional moves around key intraday value levels used by institutional traders.
MACD HTF Hardcoded (A/B Presets) + Regimes [CHE] MACD HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe MACD emulation with acceptance-based regime filter and on-chart diagnostics
Summary
This indicator emulates a higher-timeframe MACD directly on the current chart using two hardcoded preset families and a time-bucket mapping, avoiding cross-timeframe requests. It classifies four MACD regimes and applies an acceptance filter that requires several consecutive bars before a state is considered valid. A small dead-band around zero reduces noise near the axis. An on-chart table reports the active preset, the inferred time bucket, the resolved lengths, and the current regime.
Pine version: v6
Overlay: false
Primary outputs: MACD line, Signal line, Histogram columns, zero line, regime-change alert, info table
Motivation: Why this design?
Cross-timeframe indicators often rely on external timeframe requests, which can introduce repaint paths and added latency. This design provides a deterministic alternative: it maps the current chart’s timeframe to coarse higher-timeframe buckets and uses fixed EMA lengths that approximate those views. The dead-band suppresses flip-flops around zero, and the acceptance counter reduces whipsaw by requiring sustained agreement across bars before acknowledging a regime.
What’s different vs. standard approaches?
Baseline: Classical MACD with user-selected lengths on the same timeframe, or higher-timeframe MACD via cross-timeframe requests.
Architecture differences:
Hardcoded A and B length families with a bucket map derived from the chart timeframe.
No `request.security`; all calculations occur on the current series.
Regime classification from MACD and Histogram sign, gated by an acceptance count and a small zero dead-band.
Diagnostics table for transparency.
Practical effect: The MACD behaves like a slower, higher-timeframe variant without external requests. Regimes switch less often due to the dead-band and acceptance logic, which can improve stability in choppy sessions.
How it works (technical)
The script derives a coarse bucket from the chart timeframe using `timeframe.in_seconds` and maps it to preset-specific EMA lengths. EMAs of the source build MACD and Signal; their difference is the Histogram. Signs of MACD and Histogram define four regimes: strong bull, weak bull, strong bear, and weak bear. A small, user-defined band around zero treats values near the axis as neutral. An acceptance counter checks whether the same regime persisted for a given number of consecutive bars before it is emitted as the filtered regime. A single alert condition fires when the filtered regime changes. The histogram columns change shade based on position relative to zero and whether they are rising or falling. A persistent table object shows preset, bucket tag, resolved lengths, and the filtered regime. No cross-timeframe requests are used, so repaint risk is limited to normal live-bar movement; values stabilize on close.
Parameter Guide
Source — Input series for MACD — Default: Close — Using a smoother source increases stability but adds lag.
Preset — A or B length family — Default: “3,10,16” — Switch to “12,26,9” for the classic family mapped to buckets.
Table Position — Anchor for the info table — Default: Top right — Choose a corner that avoids covering price action.
Table Size — Table text size — Default: Normal — Use small on dense charts, large for presentations.
Dark Mode — Table theme — Default: Enabled — Match your chart background for readability.
Show Table — Toggle diagnostics table — Default: Enabled — Disable for a cleaner pane.
Zero dead-band (epsilon) — Noise gate around zero — Default: Zero — Increase slightly when you see frequent flips near zero.
Acceptance bars (n) — Bars required to confirm a regime — Default: Three — Raise to reduce whipsaw; lower to react faster.
Reading & Interpretation
Histogram columns: Above zero indicates bullish pressure; below zero indicates bearish pressure. Darker shade implies the histogram increased compared with the prior bar; lighter shade implies it decreased.
MACD vs. Signal lines: The spread corresponds to histogram height.
Regimes:
Strong bull: MACD above zero and Histogram above zero.
Weak bull: MACD above zero and Histogram below zero.
Strong bear: MACD below zero and Histogram below zero.
Weak bear: MACD below zero and Histogram above zero.
Table: Inspect active preset, bucket tag, resolved lengths, and the filtered regime number with its description.
Practical Workflows & Combinations
Trend following: Use strong bull to favor long exposure and strong bear to favor short exposure. Use weak states as pullback or transition context. Combine with structure tools such as swing highs and lows or a baseline moving average for confirmation.
Exits and risk: In strong trends, consider exiting partial size on a regime downgrade to a weak state. In choppy sessions, increase the acceptance bars to reduce churn.
Multi-asset / Multi-timeframe: Works on time-based charts across liquid futures, indices, currencies, and large-cap equities. Bucket mapping helps retain a consistent feel when moving from lower to higher timeframes.
Behavior, Constraints & Performance
Repaint/confirmation: No cross-timeframe requests; values can evolve intrabar and settle on close. Alerts follow your TradingView alert timing settings.
Resources: `max_bars_back` is set to five thousand. Very large resolved lengths require sufficient history to seed EMAs; expect a warm-up period on first load or after switching symbols.
Known limits: Dead-band and acceptance can delay recognition at sharp turns. Extremely thin markets or large gaps may still cause brief regime reversals.
Sensible Defaults & Quick Tuning
Start with preset “3,10,16”, dead-band near zero, and acceptance of three bars.
Too many flips near zero: increase the dead-band slightly or raise the acceptance bars.
Too sluggish in clean trends: reduce the acceptance bars by one.
Too sensitive on fast lower timeframes: switch to the “12,26,9” preset family or raise the acceptance bars.
Want less clutter: hide the table and keep the alert.
What this indicator is—and isn’t
This is a visualization and regime layer for MACD using higher-timeframe emulation and stability gates. It is not a complete trading system and does not generate position sizing or risk management. Use it with market structure, execution rules, and protective stops.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
PARTH Gold Profit IndicatorWhat's Inside:
✅ What is gold trading (XAU/USD explained)
✅ Why trade gold (5 major reasons)
✅ How to make money (buy/sell mechanics)
✅ Complete trading setup using your indicator
✅ Entry rules (when to buy/sell with examples)
✅ Risk management (THE MOST IMPORTANT)
✅ Best trading times (London-NY overlap)
✅ 3 trading styles (scalping, swing, position)
✅ 6 common mistakes to avoid
✅ Realistic profit expectations
✅ Pre-trade checklist
✅ Step-by-step getting started guide
✅ Everything a beginner need
FDF – Step 4 (Touch-21 + Trend/VWAP + Channel + Prev75% toggle)FDF — EMAs + VWAP Retest Entry System (A++ Signal Mode Compatible)
This indicator is designed for traders who follow a structured pullback and continuation entry method using the 9 EMA, 21 EMA, and VWAP as trend and momentum guides.
The system highlights high-probability retest entries when price pulls back into the EMA channel and shows strength in the direction of trend. It also includes optional A++ wick filters for traders who want to refine entries only to the strongest momentum candles.
Core Logic
A trade setup is identified when:
Trend is defined by the EMA alignment
• Long bias when EMA9 > EMA21
• Short bias when EMA9 < EMA21
Price retests the 21 EMA
• The candle must touch or cross the 21 EMA
• Designed to time pullbacks, not breakouts
Entry Confirmation
• Candle closes back in channel or breaks away in the trend direction
• Optional requirement: price must be on the correct side of VWAP for intraday trend alignment
A++ Wick Filter Mode (Optional)
Enable this mode to restrict entries to only high-dominance candles:
Dominant wick must exceed the opposing wick by a chosen percentage
Opposing wick can optionally be limited to a % of body size
Helps avoid weak, indecisive, or absorption candles
This mode is optional — turn it off to allow standard FDF entries.
Signals
When conditions are met, the script plots:
Green Triangle → Long entry signal
Red Triangle → Short entry signal
(Entries are plotted only after candle close to avoid repainting.)
Best Use
• Works on 5m / 15m / 1H intraday trend structures
• Pairs well with market structure + liquidity zones
• Designed for disciplined traders who wait for trend alignment and controlled pullbacks
Disclaimer
This tool is provided for educational and research purposes only.
It is not financial advice. Always test your setup and manage risk appropriately.
Structure Labels ( HH / HL / LH / LL )Here’s a clean and efficient Pine Script (v5) code that automatically detects and labels Higher Highs ( HH ), Lower Highs ( LH ), Higher Lows ( HL ), and Lower Lows ( LL ) on your TradingView chart .
INDIAN INTRADAY BEASTThe Indian Intraday Beast is a precision-built intraday strategy optimized for the 15-minute timeframe.
It captures high-probability momentum shifts and trend reversals using adaptive price-action logic and proprietary confirmation filters.
Designed for traders who demand clarity, speed, and consistency in India’s fast-paced markets.
Best Time Slots — Auto-Adapt (v6, TF-safe) + Range AlertsTime & binning
Auto-adapt to timeframe
Makes all time windows scale to your chart’s bar size (so it “just works” on 1m, 15m, 4H, Daily).
• On = recommended. • Off = fixed default lengths.
Minimum Bin (minutes)
The size of each daily time slot we track (e.g., 5-min bins). The script uses the larger of this and your bar size.
• Higher = fewer, broader slots; smoother stats. • Lower = more, narrower slots; needs more history.
• Try: 5–15 on intraday, 60–240 on higher TFs.
Lookback windows (used when Auto-adapt = ON)
Target ER Window (minutes)
How far back we look to judge Efficiency Ratio (how “straight” the move was).
• Higher = stricter/smoother; fewer bars qualify as “movement”. • Lower = more sensitive.
• Try: 60–120 min intraday; 240–600 min for higher TFs.
Target ATR Window (minutes)
How far back we compute ATR (typical range).
• Higher = steadier ATR baseline. • Lower = reacts faster.
• Try: 30–120 min intraday; 240–600 min higher TFs.
Target Normalization Window (minutes)
How far back for the average ATR (the baseline we compare to).
• Higher = stricter “above average range” check. • Lower = easier to pass.
• Try: ~500–1500 min.
What counts as “movement”
ER Threshold (0–1)
Minimum efficiency a bar must have to count as movement.
• Higher = only very “clean, one-direction” bars count. • Lower = more bars count.
• Try: 0.55–0.65. (0.60 = balanced.)
ATR Floor vs SMA(ATR)
Requires range to be at least this many × average ATR.
• Higher (e.g., 1.2) = demand bigger-than-usual ranges. • Lower (e.g., 0.9) = allow smaller ranges.
• Try: 1.0 (above average).
How history is averaged
Recent Days Weight (per-day decay)
Gives more weight to recent days. Example: 0.97 ≈ each day old counts ~3% less.
• Higher (0.99) = slower fade (older days matter more). • Lower (0.95) = faster fade.
• Try: 0.97–0.99.
Laplace Prior Seen / Laplace Prior Hit
“Starter counts” so early stats aren’t crazy when you have little data.
• Higher priors = probabilities start closer to average; need more real data to move.
• Try: Seen=3, Hit=1 (defaults).
Min Samples (effective)
Don’t highlight a slot unless it has at least this many effective samples (after decay + priors).
• Higher = safer, but fewer highlights early.
• Try: 3–10.
When to highlight on the chart
Min Probability to Highlight
We shade/mark bars only if their slot’s historical movement probability is ≥ this.
• Higher = pickier, fewer highlights. • Lower = more highlights.
• Try: 0.45–0.60.
Show Markers on Good Bins
Draws a small square on bars that fall in a “good” slot (in addition to the soft background).
Limit to market hours (optional)
Restrict to Session + Session
Only learn/score inside this time window (e.g., “0930-1600”). Uses the chart/exchange timezone.
• Turn on if you only care about RTH.
Range (chop) alerts
Range START if ER ≤
Triggers range when efficiency drops below this level (price starts zig-zagging).
• Higher = easier to call “range”. • Lower = stricter.
Range START if ATR ≤ this × SMA(ATR)
Also triggers range when ATR shrinks below this fraction of its average (volatility contraction).
• Higher (e.g., 1.0) = stricter (must be at/under average). • Lower (e.g., 0.9) = easier to call range.
Alerts on bar close
If ON, alerts fire once per bar close (cleaner). If OFF, they can trigger intrabar (faster, noisier).
Quick “what happens if I change X?”
Want more highlighted times? ↓ Min Probability, ↓ ER Threshold, or ↓ ATR Floor (e.g., 0.9).
Want stricter highlights? ↑ Min Probability, ↑ ER Threshold, or ↑ ATR Floor (e.g., 1.2).
Want recent days to matter more? ↑ Recent Days Weight toward 0.99.
On 4H/Daily, widen Minimum Bin (e.g., 60–240) and maybe lower Min Probability a bit.
VWAP & Band Cross Strategy v6 - AdvancedThese are a few updates made to the original script. The daily take profit and stop loss functions correctly for 1 contract but because of the pyramiding input even if not used you'll need to multiply the values by the number of contracts to keep consistent results. I have been unable to correct that function. Let me know if you test the script and have any recommendations for improvement. If trading an actual account I do recommend setting hard daily limits with your provider because there is still slippage from the original exit alerts even with the daily stop loss in place.
1. Real-Time Execution & Hard PnL Limits (The Focus)
The most critical changes were implemented to ensure the daily profit and loss limits act as hard, real-time barriers instead of waiting for the candle to close.
• Intrabar Tick Execution: The parameter calc_on_every_tick=true was added to the strategy() declaration. This forces the entire script to re-evaluate its logic on every single price update (tick), enabling immediate action.
• Real-Time PnL Tracking: The PnL calculation was updated to track the total_daily_pnl by summing the realized profit/loss (from closed trades) and the unrealized profit/loss (strategy.openprofit) on every tick.
• Immediate Closure: The script now checks the total_daily_pnl against the user-defined limits (daily_take_profit_value, daily_stop_loss_value) and immediately executes strategy.close_all() the moment the threshold is breached, preventing further trading.
• Combined Risk Enforcement: The user-defined "Max Intraday Risk ($)" and the "Daily Stop Loss (Value)" are compared, and the script enforces the tighter of the two limits.
2. Visibility and External Alerting
To address the unavoidable issue of slippage (which causes price overshoot in fast markets even with tick execution), dedicated alert mechanisms were added.
• Dedicated Alert Condition: An alertcondition named DAILY PNL LIMIT REACHED was added. This allows you to set up a TradingView alert that triggers the instant the daily_limit_reached variable turns true, giving you the fastest possible notification.
• Visual Marker: A large red triangle (\u25b2) is plotted on the chart using plotchar at the exact moment the daily limit condition is met, providing a clear visual confirmation of the trigger bar.
3. Strategy Features and Input Flexibility
Several user-requested features were integrated to make the strategy more robust and customizable.
• Trailing Stop / Breakeven (TSL/BE): A new exit option, Fixed Ticks + TSL, was added, allowing you to set a fixed profit target while also deploying a trailing stop or breakeven level based on points/ticks gained.
• Multiple Exit Types: The exit strategy was expanded to include logic for several types: Fixed Ticks, ATR-based, Capped ATR-based, VWAP Cross, and Price/Band Crosses.
• Pyramiding Control: An input Max Pyramiding Entries was introduced to control how many positions the strategy can have open at the same time.
• Confirmation Logic Toggle: Added an input to choose how multiple confirmation indicators (RSI, SMMA, MACD) are combined: "AND" (all must be true) or "OR" (at least one must be true).
• Indicator Confirmations: Logic for three external indicators—RSI, SMMA (EMA), and MACD—was fully integrated to act as optional filters for entry.
• VWAP Reset Anchors: Logic was corrected to properly reset the VWAP calculation based on the selected period ("Daily", "Weekly", or "Session") by using Pine Script v6's required anchor series.
Trading Day Filters: Inputs were added to select which specific days of the week the strategy is allowed to trade.
Murrey Math SMA up to 32s Murrey Math SMA up to 32s is a highly advanced Pine Script v5 indicator that combines Murrey Math Lines (MML) with a customizable moving average (MA) — including a non-repainting Rolling VWAP (RVWAP) — and dynamic color-coded support/resistance bands up to 1/32 subdivisions. It projects octave-based geometric price levels (like Gann) centered on your chosen MA, with adaptive scaling, angle-based trend coloring, and absolute/extended MML bands. Includes 1/8, 1/16, and 1/32 grid lines, shaded zones, labels, and a live increment display.Core FeaturesFeature
Description
MA Types
SMA, VWMA, VWAP, Period VWAP, RVWAP (rolling VWAP over fixed or adaptive time window)
Murrey Math Grid
Auto-scaled 0/8 to 8/8 + extensions (±3/8), with 1/16 & 1/32 subdivisions
Dynamic Coloring
Bands colored by MA slope angle (bullish/bearish) or absolute MML shift
RVWAP Engine
Non-repainting volume-weighted average over user-defined or adaptive time steps
Wick Filtering
Optional ignore wicks for cleaner MML framing
Resolution Support
Works with higher timeframe data via request.security()
Key Use Cases Use Case
How to Use
1. Precision Support & Resistance
Treat 4/8 (mid) as pivot, 0/8 & 8/8 as extremes. Price often reverses or accelerates at these levels.
2. Mean Reversion Trades
Buy near 0/8–1/8 (oversold), sell near 7/8–8/8 (overbought) when MA is flat or sloping mildly.
3. Trend Continuation
When MA angle > threshold and price breaks 5/8, expect move to 8/8. Confirm with volume.
4. Breakout Entries
Watch for close beyond 8/8 or 0/8 + MA angle steep → strong momentum breakout.
5. Scalping with 1/32 Grid
Use 1/32 lines as micro-targets in ranging markets or after news spikes.
6. Volume-Weighted Fair Value
RVWAP = true average price paid over time → anchor for institutional fair value.
Visual Layout (MA-Centered)
+3/8 ───┐
+2/8 ───┤ ← Strong resistance
+1/8 ───┤
8/8 ███┤ ← Overbought (red zone)
7/8 ───┤
6/8 ███┤
5/8 ───┤
4/8 ███┤ ← Midline (pivot)
3/8 ───┤
2/8 ███┤
1/8 ───┤
0/8 ███┤ ← Oversold (green zone)
-1/8 ───┤
-2/8 ───┤
-3/8 ───┘
Shaded: 0/8–1/8 (buy), 7/8–8/8 (sell), 3/8–5/8 (neutral/consolidation)
MA Line: Orange (RVWAP) or hidden
Labels: Bottom, 1/4, Mid, 3/4, Top (offset to the right)
Table: Shows current Increment size
Best For Swing & scalp traders on stocks, forex, crypto
Volume-based strategies (RVWAP shines in high-volume moves)
Gann/Murrey Math enthusiasts wanting automation + modern MA anchoring
AG_STRATEGY📈 AG_STRATEGY — Smart Money System + Sessions + PDH/PDL
AG_STRATEGY is an advanced Smart Money Concepts (SMC) toolkit built for traders who follow market structure, liquidity and institutional timing.
It combines real-time market structure, session ranges, liquidity levels, and daily institutional levels — all in one clean, professional interface.
✅ Key Features
🧠 Smart Money Concepts Engine
Automatic detection of:
BOS (Break of Structure)
CHoCH (Change of Character)
Dual structure system: Swing & Internal
Historical / Present display modes
Optional structural candle coloring
🎯 Liquidity & Market Structure
Equal Highs (EQH) and Equal Lows (EQL)
Marks strong/weak highs & lows
Real-time swing confirmation
Clear visual labels + smart positioning
⚡ Fair Value Gaps (FVG)
Automatic bullish & bearish FVGs
Higher-timeframe compatible
Extendable boxes
Auto-filtering to remove noise
🕓 Institutional Sessions
Asia
London
New York
Includes:
High/Low of each session
Automatic range plotting
Session background shading
London & NY Open markers
📌 PDH/PDL + Higher-Timeframe Levels
PDH / PDL (Previous Day High/Low)
Dynamic confirmation ✓ when liquidity is swept
Multi-timeframe level support:
Daily
Weekly
Monthly
Line style options: solid / dashed / dotted
🔔 Built-in Alerts
Internal & swing BOS / CHoCH
Equal Highs / Equal Lows
Bullish / Bearish FVG detected
🎛 Fully Adjustable Interface
Colored or Monochrome visual mode
Custom label sizes
Extend levels automatically
Session timezone settings
Clean, modular toggles for each component
🎯 Designed For Traders Who
Follow institutional order flow
Enter on BOS/CHoCH + FVG + Liquidity sweeps
Trade London & New York sessions
Want structure and liquidity clearly mapped
Prefer clean charts with full control
💡 Why AG_STRATEGY Stands Out
✔ Professional SMC engine
✔ Real-time swing & internal structure
✔ Session-based liquidity tracking
✔ Non-cluttered chart — high clarity
✔ Supports institutional trading workflows
HTF Candle Countdown Timer//@version=5
indicator("HTF Candle Countdown Timer", overlay=true)
// ============================================================================
// INPUTS - SETTINGS MENU
// ============================================================================
// --- Mode Selection ---
mode = input.string(title="Mode", defval="Auto", options= ,
tooltip="Auto: Αυτόματη αντιστοίχιση timeframes Custom: Επιλέξτε το δικό σας timeframe")
// --- Custom Timeframe Selection ---
customTF = input.timeframe(title="Custom Timeframe", defval="15",
tooltip="Ενεργό μόνο σε Custom Mode")
// --- Table Position ---
tablePos = input.string(title="Table Position", defval="Bottom Right",
options= )
// --- Colors ---
textColor = input.color(title="Text Color", defval=color.white)
bgColor = input.color(title="Background Color", defval=color.black)
transparentBg = input.bool(title="Transparent Background", defval=false,
tooltip="Ενεργοποίηση διάφανου φόντου")
// --- Text Size ---
textSize = input.string(title="Text Size", defval="Normal",
options= )
// ============================================================================
// FUNCTIONS
// ============================================================================
// Μετατροπή string position σε table position constant
getTablePosition(pos) =>
switch pos
"Top Left" => position.top_left
"Top Right" => position.top_right
"Bottom Left" => position.bottom_left
"Bottom Right" => position.bottom_right
=> position.bottom_right
// Μετατροπή string size σε size constant
getTextSize(size) =>
switch size
"Auto" => size.auto
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
=> size.normal
// Αυτόματη αντιστοίχιση timeframes
getAutoTimeframe() =>
currentTF = timeframe.period
string targetTF = ""
if currentTF == "1"
targetTF := "15"
else if currentTF == "3"
targetTF := "30"
else if currentTF == "5"
targetTF := "60"
else if currentTF == "15"
targetTF := "240"
else if currentTF == "60"
targetTF := "D"
else if currentTF == "240"
targetTF := "W"
else
// Default fallback για μη-mapped timeframes
targetTF := "60"
targetTF
// Μετατροπή timeframe string σε λεπτά για σύγκριση
timeframeToMinutes(tf) =>
float minutes = 0.0
if str.contains(tf, "D")
multiplier = str.tonumber(str.replace(tf, "D", ""))
minutes := na(multiplier) ? 1440.0 : multiplier * 1440.0
else if str.contains(tf, "W")
multiplier = str.tonumber(str.replace(tf, "W", ""))
minutes := na(multiplier) ? 10080.0 : multiplier * 10080.0
else if str.contains(tf, "M")
multiplier = str.tonumber(str.replace(tf, "M", ""))
minutes := na(multiplier) ? 43200.0 : multiplier * 43200.0
else
minutes := str.tonumber(tf)
minutes
// Format countdown σε ώρες:λεπτά:δευτερόλεπτα ή λεπτά:δευτερόλεπτα
formatCountdown(milliseconds) =>
totalSeconds = math.floor(milliseconds / 1000)
hours = math.floor(totalSeconds / 3600)
minutes = math.floor((totalSeconds % 3600) / 60)
seconds = totalSeconds % 60
string result = ""
if hours > 0
result := str.format("{0,number,00}:{1,number,00}:{2,number,00}", hours, minutes, seconds)
else
result := str.format("{0,number,00}:{1,number,00}", minutes, seconds)
result
// Μετατροπή timeframe σε readable format
formatTimeframe(tf) =>
string formatted = ""
if str.contains(tf, "D")
formatted := tf + "aily"
else if str.contains(tf, "W")
formatted := tf + "eekly"
else if str.contains(tf, "M")
formatted := tf + "onthly"
else if tf == "60"
formatted := "1H"
else if tf == "240"
formatted := "4H"
else
formatted := tf + "min"
formatted
// ============================================================================
// MAIN LOGIC
// ============================================================================
// Επιλογή target timeframe βάσει mode
targetTimeframe = mode == "Auto" ? getAutoTimeframe() : customTF
// Validation: Έλεγχος αν το target timeframe είναι μεγαλύτερο από το τρέχον
currentTFMinutes = timeframeToMinutes(timeframe.period)
targetTFMinutes = timeframeToMinutes(targetTimeframe)
var string warningMessage = ""
if targetTFMinutes <= currentTFMinutes
warningMessage := "⚠ HTF < Current TF"
else
warningMessage := ""
// Υπολογισμός του χρόνου κλεισίματος του HTF candle
htfTime = request.security(syminfo.tickerid, targetTimeframe, time)
htfTimeClose = request.security(syminfo.tickerid, targetTimeframe, time_close)
// Υπολογισμός υπολειπόμενου χρόνου σε milliseconds
remainingTime = htfTimeClose - timenow
// Format countdown
countdown = warningMessage != "" ? warningMessage : formatCountdown(remainingTime)
// Format timeframe για εμφάνιση
displayTF = formatTimeframe(targetTimeframe)
// ============================================================================
// TABLE DISPLAY
// ============================================================================
// Δημιουργία table
var table countdownTable = table.new(
position=getTablePosition(tablePos),
columns=2,
rows=2,
bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor,
frame_width=1,
frame_color=color.gray,
border_width=1)
// Update table content
if barstate.islast
// Header
table.cell(countdownTable, 0, 0, "Timeframe:",
text_color=textColor,
bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor,
text_size=getTextSize(textSize))
table.cell(countdownTable, 1, 0, displayTF,
text_color=textColor,
bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor,
text_size=getTextSize(textSize))
// Countdown
table.cell(countdownTable, 0, 1, "Countdown:",
text_color=textColor,
bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor,
text_size=getTextSize(textSize))
table.cell(countdownTable, 1, 1, countdown,
text_color=warningMessage != "" ? color.orange : textColor,
bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor,
text_size=getTextSize(textSize))
// ============================================================================
// END OF SCRIPT
// ============================================================================
Price Above PDH - Complete Multi-Confirmation Alert
Cashapp $jmoskyhigh
Initial Breakout: Must have ALL confirmations to even start counting
During Hold Period: If ANY confirmation fails at ANY bar, the counter RESETS to zero
Must Re-qualify: If confirmations fail, must cross PDH again with all confirmations to restart
Alert Only Fires: When ALL confirmations are continuously met for the ENTIRE hold period
3. Visual Feedback:
Green background: Above PDH + ALL confirmations present
Red background: Above PDH but MISSING one or more confirmations
Red X above bar: Shows when a confirmation is lost during breakout (counter resets)
Green triangle with "✓ ALL": Alert triggered after full confirmation period
4. Example Scenario:
Scenario 1 - SUCCESS:
Bar 1: Price crosses PDH, Volume spike, MA bullish, Above VWAP → Counter = 1
Bar 2: Still above PDH, ALL confirmations still met → Counter = 2
Bar 3: Still above PDH, ALL confirmations still met → Counter = 3
Bar 4: Still above PDH, ALL confirmations still met → Counter = 4
Bar 5: Still above PDH, ALL confirmations still met → Counter = 5 → ALERT!
Scenario 2 - FAILURE (resets):
Bar 1: Price crosses PDH, Volume spike, MA bullish, Above VWAP → Counter = 1
Bar 2: Still above PDH, ALL confirmations still met → Counter = 2
Bar 3: Still above PDH, but volume drops below threshold → RESET Counter = 0
Bar 4: Still above PDH, ALL confirmations back → Counter = 1 (starts over)
5. Info Panel:
Shows which specific confirmations are failing
"OFF" displayed for disabled confirmations
Big "ALL CONFIRMED" row shows overall status
Warning message if confirmations are lost during breakout
This ensures you only get alerts when the setup is truly strong with ALL confirmations maintained throughout the entire hold period! 🎯
Day Range Divider DTSCopied it for DTS purposes to ensure proper tracking, testing, and verification within the DTS workflow. This copy is intended for reference, analysis, and any required adjustments without affecting the original version.
Continuation Probability (0–100)This indicator helps measure how likely the current candle trend will continue or reverse, giving a probability score between 0–100.
It combines multiple market factors trend, candle strength, volume, and volatility to create a single, intuitive signal.
Altseason Probability (BTC.D • USDT • TOTAL3 • DXY)Testing phase, workig out the kinks.
Works by aggregating several factors to define altseason probability in any given moment
Trend on TimeFrames indicatorThis indicator shows you If you are bullish or bearish on every important timeframe
Retail vs Banker Net Positions – Symmetry BreakRetail vs Banker Net Positions – Symmetry Break (Institution Focus)
Description:
This advanced indicator is a volume-proxy-based positioning tool that separates institutional vs. retail behavior using bar structure, trend-following logic, and statistical analysis. It identifies net position flows over time, detects institutional aggression spikes, and highlights symmetry breaks—those moments when institutional action diverges sharply from retail behavior. Designed for intraday to swing traders, this is a powerful tool for gauging smart money activity and retail exhaustion.
What It Does:
Separates Volume into Two Groups:
Institutional Proxy: Volume on large bars in trend direction
Retail Proxy: Volume on small or counter-trend bars
Calculates Net Positions (%):
Smooths cumulative buying vs. selling behavior for each group over time.
Highlights Symmetry Breaks:
Alerts when institutions make statistically abnormal moves while retail is quiet or doing the opposite.
Detects Extremes in Institutional Activity:
Flags major tops/bottoms in institutional positioning using swing pivots or rolling windows.
Retail Sentiment Flips:
Marks when the retail line crosses the zero line (e.g., flipping from net short to net long).
How to Use It:
Interpreting the Two Lines:
Aqua/Orange Line (Institutional Proxy):
Rising above zero = Net buying bias
Falling below zero = Net selling bias
Lime/Red Line (Retail Proxy):
Green = Retail buying; Red = Retail selling
Watch for crosses of zero for sentiment shifts
Spotting Symmetry Breaks:
Pink Circle or Background Highlight =
Institutions made a sharp, outsized move while retail was:
Quiet (low ROC), or
Moving in the opposite direction
These often precede explosive directional moves or stop hunts.
Institutional Extremes:
Marked with aqua (top) or orange (bottom) dots
Based on swing pivot logic or rolling highs/lows in institutional positioning
Optional filter: Only show extremes that coincide with a symmetry break
Settings You Can Tune:
Lookback lengths for trend, z-scores, smoothing
Z-Score thresholds to control sensitivity
Retail quiet filters to reduce false positives
Cool-down timer to avoid rapid repeat signals
Toggle visual aids like shading, markers, and threshold lines
Alerts Included:
-Retail flips (green/red)
- Institutional symmetry breaks
- Institutional extreme tops/bottoms
Strategy Tip:
Use this indicator to track institutional accumulation or distribution phases and catch asymmetric inflection points where the "smart money" acts decisively. Confluence with price structure or FVGs (Fair Value Gaps) can further enhance signal quality.
Combined Advanced Trading BlueprintStacked EMAs, some SMA, VWAP, Smart Money Concept stuff all wrapped into one
