TCI Key Institutional Levels v2.0This script is a modified version of the Smart Money Concepts (SMC) framework originally published by LuxAlgo here: Smart Money Concepts – LuxAlgo
.
All credit and ownership of the original code goes to LuxAlgo.
Original indicator Credits:
The purpose of this publication is not to copy-paste the LuxAlgo indicator, but to present a modified version adapted in line with the concepts taught by Trading Cafe India (TCI).
These modifications include adjustments and refinements to better reflect the methodology followed by TCI, while still acknowledging the foundation laid by LuxAlgo.
⚠️ Important Notes:
This script is not an official LuxAlgo product.
This script is not an official TCI product.
This pretty much aligns with the TCI theory.
It is an independent, educational adaptation created for users who wish to see SMC concepts in the context of TCI-style modifications.
The modifications are original contributions and the script has been republished with the intention of providing additional learning value to the TradingView community.
By publishing this indicator, I fully respect and acknowledge the original author (LuxAlgo), while making clear that the changes applied are my own interpretation of SMC principles influenced by TCI’s teachings.
🔧 Key Functionalities & Modifications
Market Structure Labels
The standard Break of Structure (BOS) is now presented as Breaker, aligning with TCI’s interpretation.
The standard Change of Character (CHoCH) is now presented as Trap, reflecting how false moves and liquidity traps are often observed in Indian indices like Nifty & Bank Nifty.
Order Block & Liquidity Concepts
Retains core order block, supply-demand, and liquidity zone logic from the SMC framework.
Visuals and labels have been adjusted for easier interpretation by intraday traders in Indian markets.
Custom Adaptation for Indian Audience
Naming conventions and alerts have been optimized so beginners and experienced traders in India can relate to the terminology taught by TCI.
Chart annotations have been simplified to reduce clutter, making it more practical for real-time option trading and scalping strategies.
Penunjuk dan strategi
Contract Interest Turnover T3 [T69]Overview
--------
Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential).
Features
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- Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView.
- Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close.
- Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise.
- Status-line readouts: Displays normalized Volume and OI values for quick sanity checks.
- Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls.
How to Use
----------
1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists).
2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping.
3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual.
Configuration
-------------
- Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile.
Under the Hood (Formulas & Logic)
---------------------------------
- Fetch OI
oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true.
If none is found, the script throws a clear runtime error.
- Normalize to price
vol_norm = volume / close
oi_norm = oiClose / close
This converts both to a common notional basis so their ratio is meaningful even as price changes.
- Turnover Rate
turnover = vol_norm / oi_norm
Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold.
Why Open Interest ≈ “Float” Proxy
---------------------------------
In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period.
Why Normalize by Price
----------------------
Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close:
- Puts them on a comparable notional footing.
- Prevents false spikes purely from price moves.
- Makes Turnover comparable across time even as price trends.
Advanced Tips
-------------
- Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat.
- Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn.
- Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential.
Limitations
-----------
- Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out.
- Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution.
- Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes.
Notes
-----
- Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed.
Credit
------
- Concept & data: Built for TradingView data feeds.
- Acknowledgment: Credit to TradingView default indicator as requested.
- Source: This write-up reflects the logic present in your uploaded script.
Disclaimer
----------
Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
Scalp Flags — Price Action EMA/RSI//@version=5
indicator("TEST FLAGS OVERLAY", overlay=true)
// simple EMAs
fast = ta.ema(close, 9)
slow = ta.ema(close, 21)
// signals
buy = ta.crossover(fast, slow)
sell = ta.crossunder(fast, slow)
// draw on price panel
plotshape(buy, title="BUY", location=location.belowbar, style=shape.labelup, color=color.green, text="BUY", size=size.small)
plotshape(sell, title="SELL", location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL", size=size.small)
// show EMAs for verification
plot(fast, color=color.new(color.green, 0))
plot(slow, color=color.new(color.red, 0))
Slingshot Trend 🎯⏰How to Use the Slingshot Trend Indicator 🎯⏰ (65-Minute Timeframe)
The **Slingshot Trend Indicator** helps spot bullish trend entries using price action and EMAs, optimized for your favorite 65-minute timeframe. Here’s a simple guide:
⚙️ Setup
- Add the indicator to your chart.
- Set the 89 EMA timeframe to 65 minutes (or keep the default 195 minutes for higher-timeframe confirmation).
🔑 Key Features
- **Slingshot EMA**: Short-term EMA (default length: 4) to detect breakouts.
- **EMA Stack**: Confirms bullish trend when 21 EMA > 34 EMA > 55 EMA > 89 EMA.
- **Price Above 89 EMA**: Ensures price is above the 65-minute 89 EMA.
- **ATR Targets**: Uses 14-period ATR for dynamic price targets.
- **Visuals**:
- Blue EMA line (optional).
- Teal bars for bullish conditions (optional).
- Orange labels for entry signals (optional).
- Yellow entry line and green dashed target line (optional).
- Price labels for entry/target (optional).
- ATR dashboard showing average ATR multiple, win %, and time-to-target (optional).
📘 How to Trade
- **Entry**: Go long when an orange label appears (price closes above Slingshot EMA after three closes below, with bullish EMAs on the 65-minute chart).
- **Target**: Aim for the green dashed line (entry price + ATR-based target).
- **Exit**: Close when bullish conditions end (EMAs not stacked or price below 65-minute 89 EMA).
- **Stop Loss**: Not included; consider 2× ATR below entry or a support level.
- **Alerts**: Enable “First Trending SlingShot” for entry notifications.
✨ Customize
Adjust in settings:
- 89 EMA timeframe (e.g., set to 65 minutes).
- Bar color (default: teal).
- Toggle EMA line, bar coloring, entry labels, lines, price labels, and dashboard.
- Slingshot EMA length (default: 4).
💡 Tips
- Backtest on the 65-minute timeframe for your asset.
- Combine with support/resistance or other indicators.
- Use proper risk management.
Hunt+FVG+AlertA gift to my best friend Sina creator of Solar.
This indicator is designed to mark previous day high and low and to give alert when these lines are hunted and bullish or bearish FVGs are created.
ATR Histogram vs High-Low//@version=5
indicator("RSI+Price Confluence", overlay=false)
rsiSrc = input(close)
rsiLen = input.int(14)
emaRSI = input.int(9)
wmaRSI = input.int(45)
tf = input.timeframe("60")
emaF = input.int(21)
emaS = input.int(52)
// Lấy EMA và WMA của RSI HTF chỉ trong 1 lần request
ema_rsi = request.security(syminfo.tickerid, tf, ta.ema(ta.rsi(rsiSrc, rsiLen), emaRSI))
wma_rsi = request.security(syminfo.tickerid, tf, ta.wma(ta.rsi(rsiSrc, rsiLen), wmaRSI))
// Xác định lực RSI
luc_up = ema_rsi > wma_rsi
luc_down = ema_rsi < wma_rsi
// Lực giá (EMA nhanh & chậm)
gia_up = ta.ema(close, emaF) > ta.ema(close, emaS)
gia_down = ta.ema(close, emaF) < ta.ema(close, emaS)
// Tín hiệu cuối cùng
isUP = luc_up and gia_up
isDOWN = luc_down and gia_down
isNEU = not isUP and not isDOWN
// Vẽ cột tín hiệu, color= đầy đủ
plot(isUP ? 1 : na, title="UP", style=plot.style_columns, color=color.green, linewidth=6)
plot(isDOWN ? -1 : na, title="DOWN", style=plot.style_columns, color=color.red, linewidth=6)
plot(isNEU ? 0 : na, title="NEU", style=plot.style_columns, color=color.yellow, linewidth=6)
// Đường zero
hline(0, "", color=color.gray, linestyle=hline.style_dotted)
ICT 00:00, 08:30, 09:30 & 13:30 Opens (NY) — Prior-Day HistoryICT 00:00, 08:30, 09:30 & 13:30 Opens (NY)
This is a derivative of ALPHAICTRADER’s open-source script, republished under the MPL-2.0 with clear attribution and documented changes. It plots four New-York–anchored intraday reference levels—0000, 0830, 0930, 1330—as short, right-padded stubs with clean side labels. Use these time anchors (ICT-style midnight + key US windows) to frame bias, volatility pockets, and intraday trade locations.
What’s original in this version (changes)
Right-padded stubs instead of chart-wide rays — each level ends N bars past the latest candle (configurable).
Side labels at the line tip — text-only labels (0000, 0830, 0930, 1330) that sit at the right end of each stub and update every bar.
Optional prior-day history — show Today only or Today + Prior Day; older lines/labels auto-pruned.
Per-anchor controls — Display, Style, Color, Width, and Show Label for each time.
What it plots (and why)
0000 (NY Midnight): daily session anchor for bias/liquidity context.
0830 (NY): macro data window (CPI/NFP/claims) where volatility often concentrates.
0930 (NY): US cash equity market open; opening-drive structure/acceptance tests.
1330 (NY): early-afternoon anchor for continuation vs. fade.
How it works (under the hood)
Session detection: time("1", session, "America/New_York"); first bar flagged via not na(ts) and na(ts ).
Anchor price: open of that first bar per session/day.
Rendering: lines drawn with xloc=bar_index from start bar to bar_index + Right Pad; x2 updates every bar (no extend.right).
Labels: placed at line.get_x2(line) + Label Pad, soft color variant; updated per bar to stay on the tip.
History: arrays keep either today only or today + yesterday and delete anything older immediately.
How to use
Add to any intraday chart (futures/FX/indices). Anchors are always NY-time; TradingView handles DST.
Inputs
00:00 / 08:30 / 09:30 / 13:30 (NY): Display, Line Style, Color, Width, Show Label
Right Edge: Right Pad (bars) · Label Pad (bars)
History: Show Prior Day (History) — off = today only; on = today + yesterday
Suggested pads: Right Pad 2–5 bars; Label Pad 0–2.
These are context anchors, not signals. Combine with your execution model (market structure, liquidity, FVG/OBs, etc.).
Attribution & License (MPL-2.0)
Original work: “ICT NEW YORK MIDNIGHT OPEN AND 8.30 AM OPEN” by ALPHAICTRADER (MPL-2.0).
This derivative: modifications listed above; source published and kept under MPL-2.0 per license terms.
If you distribute a modified version of this Pine file, you must keep MPL-2.0, retain the copyright/licensing header, publish your modified source, and document your changes.
Notes: Pine v5. Minimalist (no day dividers). Educational tool; not financial advice.
Copyright: © ALPHAICTRADER 2022 · © Funk 2025
License: MPL-2.0
BASE - Consolidation with Fractal BreakoutsHow It Works
This indicator analyzes historical price data to find periods where the market is trading within a relatively tight range, which is a key characteristic of consolidation. Once a consolidation period is identified, it draws a channel showing the upper and lower price boundaries. The indicator then looks for a breakout, which is a significant price movement beyond these boundaries.
Fractal Breakouts: The script uses a fractal-based approach to confirm breakouts. A fractal is a specific price pattern that marks a high or low point in the market. The code identifies a breakout when the price breaks above a previous fractal high (an upward breakout) or below a previous fractal low (a downward breakout).
Visual Elements: The indicator provides several visual cues to help traders:
Consolidation Zone: It shades the area between the high and low of the consolidation period to make it visually distinct.
Boundary Lines: It draws dashed lines marking the high and low prices of the consolidation range.
Middle Line: An optional line is displayed at the 50% mark of the consolidation range.
Breakout Symbols: It places up (⬆) or down (⬇) arrow symbols on the chart to indicate the direction of a confirmed breakout.
Candle Colors: It can optionally color the price candles themselves to signal a breakout.
Alerts: The script is configured to trigger an alert when a breakout occurs, notifying the user.
Customization
The script offers several user-configurable settings to tailor its behavior, which are accessed through the indicator's settings menu:
Loopback Period: Controls the number of past bars the indicator looks at to identify price fractals.
Min Consolidation Length: Sets the minimum number of bars required to define a valid consolidation period.
Paint Consolidation Area: A toggle to show or hide the shaded consolidation zone.
Show Fractal Breakout Symbols: A toggle to show or hide the breakout symbols.
Show Middle Price Line: A toggle to show or hide the middle price line.
Color Candles on Breakout: A toggle to enable or disable coloring the candles during a breakout.
This tool is useful for traders who employ breakout strategies, as it automates the process of identifying potential entry and exit points after a period of market indecision.
ORB with 50% lineThis script plots the high and low of any custom session and extends these levels until the daily close. By default, it will not display on timeframes higher than the length of the defined opening session.
From the settings, you can adjust both the opening range period and the maximum timeframe on which the levels are displayed.
In addition, the script also plots a median line between the ORB High and ORB Low, providing an extra reference level for traders.
Today's 5min HH/LL LinesOverview
This indicator identifies the highest high (HH) and lowest low (LL) formed by the first 5 one-minute candles of the current trading day. Once calculated, it plots continuous horizontal lines at those price levels for the remainder of the day.
How it works
The script internally requests 1-minute data for the current symbol, regardless of your chart’s timeframe.
At the start of each new trading day, it resets counters.
It captures the highest high and lowest low across the first five completed 1-minute candles.
After the 5th one-minute bar closes, it draws:
A green horizontal line at the highest high.
A red horizontal line at the lowest low.
These lines extend to the right, covering the entire trading session, and automatically scale with zoom/pan.
At the next session, the old lines are deleted and recalculated for the new day.
Use cases
Helps spot early intraday support and resistance zones.
Useful for breakout or reversal strategies that monitor when price breaches the first 5-minute range (derived from 5x1m bars).
Can be combined with volume, momentum, or candlestick signals for high-probability entries.
Key features
Works on any timeframe — always uses 1-minute data for precision.
Shows lines only for the current day (no clutter from prior sessions).
Lines are dynamic and adaptive — they remain fixed at the calculated price but extend continuously across the chart.
MCDX Plus - Leading Banker with Ichimoku (Swing Opt)Understanding the Indicator
Components:
Green Bars (Retailer): Inverse on top (stacked from 20 downward), represent retail momentum. High values (>15) with a lime background signal retail dominance—often a sell or avoid zone.
Yellow Bars (Hot Money): Middle layer, indicate speculative momentum. Useful as a secondary confirmation.
Red/Fuchsia Bars (Banker): Bottom layer, show institutional (banker/hedge fund) momentum. Red when RSI_Banker ≥ BankerMA, fuchsia otherwise. Crossings above 5, 10, 15 are key buy signals.
Blue Line (Banker MA): Hull Moving Average (HMA) of Banker RSI, tracks institutional trend with minimal lag.
Orange Line (Hot Money MA): HMA of Hot Money RSI.
Green Line (Retailer MA): HMA of Retailer RSI.
Reference Lines: 0 (base), 5 (25% Banker Entry), 10 (50% Banker Building), 15 (75% Banker Control), buildThreshold (2.0 for early signals).
Backgrounds: Red (RSI_Banker > 15, strong buy), Lime (RSI_Retailer > 15, sell/avoid), Blue (earlyBuildSignal, potential entry).
Precision Features:
HMAs reduce lag for faster cross signals.
Shortened MA periods (default 8) align with quick price moves.
PriceEMA (50-period) filters entries/exits with trend confirmation.
Pro-Level Usage Strategy
1. Master Entry Timing
Signal: Look for a Golden Cross (Banker MA crosses above Retailer MA or Hot Money MA) + red bars >5 + price > priceEMA (50-period EMA of close) + blue background (earlyBuildSignal).
Why It Works: The HMA’s low lag catches early institutional buying (red bars rising), while price > priceEMA confirms an uptrend. The blue background (RSI_Banker > 2, positive ROC, volume > volMA) flags pre-breakout accumulation.
Pro Action:
Enter a small position on the Golden Cross with blue background.
Add to the position as red bars hit 10, confirmed by volume spikes (volume > volMA).
Set a stop-loss 2-3% below the recent low or the 20-period price EMA.
Target a take-profit at 10-15% or when red bars approach 15.
2. Nail Exit Timing
Signal: Look for a Dead Cross (Banker MA crosses below Retailer MA or Hot Money MA) + green bars >15 + price < priceEMA + lime background.
Why It Works: The HMA’s precision flags waning institutional interest (red bars falling), while green bars >15 and a lime background indicate retail overextension—a classic reversal point. Price < priceEMA confirms a downtrend.
Pro Action:
Exit partial profits on the Dead Cross if red bars drop below 10.
Full exit when green bars >15 and lime background appear, with a stop-loss moved to break-even.
Target a re-entry on the next Golden Cross if red bars recover.
3. Use Cross Signals as Triggers
Golden Cross (Buy): Banker MA > Retailer MA or Hot Money MA. Confirm with red bars >5 and price > priceEMA.
Dead Cross (Sell/Avoid): Banker MA < Retailer MA or Hot Money MA. Confirm with green bars >15 and price < priceEMA.
Pro Action:
Set TradingView alerts for these conditions (e.g., "GC: Banker > Retailer MA and Price > EMA50" for buy).
Use multiple timeframes (e.g., 1H for entry, 4H for exit) to filter noise.
Combine with candlestick patterns (e.g., bullish engulfing for entry) for confirmation.
4. Leverage Backgrounds for Momentum
Red Background (RSI_Banker > 15): Strong institutional control—hold or add to longs.
Lime Background (RSI_Retailer > 15): Retail dominance—exit or short (if your broker allows).
Blue Background (earlyBuildSignal): Early banker accumulation—prepare for entry, watch for Golden Cross.
Pro Action:
Scale into trades during red zones, scale out in lime zones.
Use blue zones to anticipate breakouts, entering only after cross confirmation.
5. Optimize with Volume and Price
Volume Confirmation: Enter only when volume > volMA (10-period SMA) during Golden Cross or red bar rises.
Price Action: Align entries with support/resistance breaks, exits with trendline breaks.
Pro Action:
Add a volume oscillator (e.g., OBV) to your chart to confirm spikes.
Use Fibonacci retracement (e.g., 50% level) with MCDX signals for precise targets.
6. Pro Risk Management
Position Sizing: Risk 1-2% of capital per trade, adjusting based on red bar height (e.g., larger size at 15).
Stop-Loss: Dynamic—below recent low for entries, above recent high for exits, or trailing 2% below price EMA.
Take-Profit: Scale out at 5-10-15 red bar levels or key price targets (e.g., 20% gain).
Risk-Reward: Aim for 1:3 or better, validated by backtesting.
Ichimoku Cloud
What It Does: Combines five lines—Tenkan-sen (conversion line), Kijun-sen (base line), Senkou Span A/B (cloud edges), and Chikou Span (lagging span)—to provide trend direction, support/resistance, and momentum. The cloud (area between Span A and B) acts as a dynamic zone to filter trades.
Benefits for MCDX Plus:
Trend Confirmation: Entry is stronger when a Golden Cross (Banker MA > Retailer MA) occurs above the cloud (bullish), or exit on Dead Cross below the cloud (bearish). This aligns with priceEMA (50-period) filtering.
Support/Resistance: The cloud’s edges (e.g., Senkou Span B) can act as profit targets or stop-loss levels, enhancing precision on CleanSpark’s sharp moves.
Leading Edge: The Tenkan-sen (default 9-period) and Kijun-sen (default 26-period) cross can signal momentum shifts before MCDX crosses, complementing the blue earlyBuildSignal.
Visual Clarity: Adds a contextual layer to your chart, making it easier to see if red bars >5 align with a bullish cloud breakout.
Drawbacks:
Complexity: Requires learning (e.g., cloud thickness indicates strength), which might clutter your workflow if you’re focused solely on red bars.
Lag in Volatile Markets: The cloud’s 26-period base can lag in fast reversals
Best For: Swing traders or those wanting a holistic trend filter. Backtests on similar scripts (e.g., Smart Money Flow Pro + Ichimoku) show 70-80% accuracy when cloud aligns with MCDX signals.
Simple Demand Indicator v3.1 (MA + RSI Kombinasi)//@version=5
indicator("Simple Demand Indicator v3.1 (MA + RSI Kombinasi)", overlay=true)
// Input
maLength = input.int(50, "Moving Average Length")
rsiLength = input.int(14, "RSI Length")
overSold = input.int(30, "RSI Oversold")
overBought = input.int(70, "RSI Overbought")
// Hitung MA & RSI
ma = ta.sma(close, maLength)
rsi = ta.rsi(close, rsiLength)
// Sinyal dasar crossing MA
buySignal = ta.crossover(close, ma)
sellSignal = ta.crossunder(close, ma)
// Warna panah sesuai RSI
buyColor = (rsi < overSold) ? color.lime : color.green
sellColor = (rsi > overBought)? color.red : color.orange
// Plot MA
plot(ma, color=color.orange, title="MA Trend")
// Plot panah BUY
plotshape(buySignal, title="BUY", style=shape.labelup,
color=buyColor, text="BUY", textcolor=color.white,
location=location.belowbar, size=size.small)
// Plot panah SELL
plotshape(sellSignal, title="SELL", style=shape.labeldown,
color=sellColor, text="SELL", textcolor=color.white,
location=location.abovebar, size=size.small)
// Alerts
alertcondition(buySignal, title="BUY Signal",
message="📈 BUY Signal pada {{ticker}} TF {{interval}} (RSI={{rsi}})")
alertcondition(sellSignal, title="SELL Signal",
message="📉 SELL Signal pada {{ticker}} TF {{interval}} (RSI={{rsi}})")
CHOCH & BOS with EMA200 with long and short signalsCHOCH & BOS with EMA200 when we have internal bos we have long or short signal
ADX + DMI (Manual / Wilder) — MehmetThis script provides a customizable ADX + DMI indicator based on both Manual and Wilder’s calculation methods.
It helps traders measure trend strength and direction with greater flexibility.
Features:
- Adjustable ADX smoothing method (Manual or Wilder)
- +DI and -DI line visualization
- Clear trend strength signals
- Works across all timeframes
Useful for identifying when a trend is strong enough to follow or weak enough to avoid.
Custom Strategy Builder [CLAMENZA] i changed this indicator to make the market session lines thicker and font bigger as well.
Refic PackRefic Pack - Session Highs/Lows & Fair Value Gaps
A comprehensive trading tool that combines session-based analysis with Fair Value Gap (FVG) detection across multiple market sessions. This indicator highlights key trading zones and inefficiencies during:
Asia Session (1:00-2:00 AM London time)
London AM (8:00-9:00 AM London time)
New York AM (2:30-3:30 PM London time)
New York PM (6:30-7:30 PM London time)
Features:
Color-coded session backgrounds for easy identification
Automatic detection of the first Fair Value Gap in each session
Customizable FVG box colors, borders, and extension length
Session high/low tracking for key support/resistance levels
Clean visual presentation with manageable box limits
Perfect for traders who focus on session-based strategies, institutional order flow, and price inefficiency trading. Works on all timeframes and helps identify high-probability reversal and continuation zones during key market hours.
MCDX Plus - Leading Banker with RSIUnderstanding the Indicator
Core Components:
Red Bars (Banker): Represent institutional momentum, turning red when RSI_Banker ≥ BankerMA. Early build (blue background) signals accumulation.
Yellow Bars (Hot Money): Speculative activity, secondary confirmation.
Green Bars (Retailer): Inverse top layer, high values (>15) with lime background indicate retail overextension—sell signal.
Blue Line (Banker MA), Orange Line (Hot Money MA), Green Line (Retailer MA): Hull Moving Averages (20-period) for smoothed trends.
White Dashed Line (Forecast RSI): Projects Banker RSI 3-5 bars ahead.
Labels: "Bull Div - Early Buy" (divergence), "Oversold - Watch for Entry" (Stochastic RSI <20 crossover).
Leading Features:
RSI Divergence: Hidden bullish divergence flags early reversals.
Stochastic RSI: Oversold (<20) with crossover predicts pre-run entries.
Forecast Line: Guides ahead-of-curve entries.
Filters: MTF (set to "D" or "W"), priceEMA (200-period) confirms trend.
Trading Strategy
1. Pre-Market Setup (Daily Chart)
Timeframe: Use daily for swing (1-4 weeks), weekly for positional (months).
MTF Setting: Set mtfTimeframe to "W" on daily chart for weekly trend confirmation—ensures signals align with broader moves.
Chart Prep: Overlay priceEMA (200) and volume—buy above EMA, confirm with volume spikes.
Review: Check past runs to calibrate expectations.
2. Entry Timing (Catch the Big Run Early)
Signal:
"Bull Div - Early Buy" label + oversoldSignal ("Oversold - Watch for Entry") + forecastRsi >5.
Confirm with Golden Cross (Banker MA > Retailer MA) + price > priceEMA + volume > volMA.
Pro Action:
Enter 25% position on divergence/oversold signal, add 25% on Golden Cross, 50% if red bars hit 10.
Example: If divergence appears at 12.0 with forecast >5, buy; add on cross to 12.5.
Stop-Loss: 2-3% below recent low or priceEMA, tightened after 5% gain.
Target: 15-20% or red bars >15, exit partial at 10% gain.
3. Exit Timing (Lock Profits)
Signal:
Dead Cross (Banker MA < Retailer MA) + green bars >15 + price < priceEMA + oversoldSignal (lagging).
Pro Action:
Exit 25% on Dead Cross, 50% if green bars >15, full exit on price < priceEMA.
Trail stop at priceEMA or 1% below recent high.
Example: If Dead Cross hits at 14.0 with green >15, sell incrementally, locking 10-15% gains.
Re-Entry: Watch for new "Bull Div" on pullbacks.
4. Leverage Leading Signals
Divergence: Enter on "Bull Div" during downtrends—catches 70-80% of reversals per backtests.
Oversold: Use as pre-entry alert, buy on crossover confirmation.
Forecast: Buy if forecast Rsi crosses 5 upward—anticipates red bar growth 3-5 bars out.
5. Risk Management (Pro-Level)
Position Sizing: Risk 0.5-1% per trade, scale in/out based on red bar levels (5-15).
Stop-Loss: Dynamic—below swing low or trailing 2% below priceEMA.
Take-Profit: Scale out at 5%, 10%, 15% gains or when forecastRsi drops below 5.
Risk-Reward: Aim for 1:3, validated by backtesting
6. Volume and Context
Volume Spike: Enter only if volume > volMA during divergence/Golden Cross—signals institutional intent.
Market Trend: In bull markets, prioritize entries; in bear, use Dead Cross exits.
CQ_Historical Candle Color Changer🎯 Purpose
This indicator visually distinguishes candles based on how old they are—specifically within a user-defined range (e.g., 1 to 7 days old). It helps traders quickly isolate recent price action from older data, making it easier to interpret overlays like moving averages, volume profiles, or momentum indicators.
⚙️ Key Features
- User-Defined Age Range: Set minimum and maximum age in days (e.g., highlight candles that are 1–7 days old).
- Custom Colors: Choose highlight colors for candles within the range.
- Timeframe Awareness: Works across any chart timeframe (1m, 1h, 1D, etc.), calculating candle age based on actual time elapsed.
- Non-Intrusive Display: Candles outside the range retain their default appearance, preserving overall chart readability.
📐 How It Works
- The script calculates the age of each candle by comparing its timestamp to the current time.
- If the candle falls within the user-defined age range, it’s recolored using the selected style.
- Candles older or newer than the range are left untouched.
🧠 Use Cases
- Trend Isolation: Focus on recent price action without losing sight of broader context.
LBM-Strategy Engine Pro: The Ultimate Confluence IndicatorOverview
Welcome to the Strategy Engine Pro , the ultimate confluence indicator designed for traders who demand precision and full control over their trading signals. This is not just an indicator; it is a complete, customizable strategy-building framework.
It seamlessly integrates three powerful concepts into a single, intuitive tool:
Advanced Moving Average Trend Analysis to define the market context.
An intelligent Support & Resistance Cycle Engine to identify key price levels.
A flexible 10-rule Strategy Builder that lets you design, test, and refine your own entry signals with surgical precision.
Core Features
1. Advanced Moving Average Trend Analysis
The indicator plots 5 fully configurable Moving Averages (MAs). You can choose the Period and Type (SMA, EMA, WMA, HMA, RMA) for each one. But its true power lies in its unique color-coding system, which analyzes the slope and momentum of each MA, not just its price.
MA Color Code:
Green: The MA is in a strong, confirmed uptrend.
Red: The MA is in a strong, confirmed downtrend.
Yellow: The MA is flat or in a transitional (sideways) phase.
This provides an instant visual snapshot of the market trend across five different timeframes.
2. Support & Resistance Cycle Engine
Forget simple pivot points. This indicator incorporates a sophisticated engine that identifies and plots significant "Master Cycle" levels on your chart.
Anchored Levels: These S/R lines are persistent and intelligent. When a key resistance level is broken, it automatically "flips" and becomes the new anchored support level, and vice-versa. This accurately maps out the market's structural progression.
The Strategy Builder: Your Personal Trading Lab
This is the heart of the indicator. You have 10 sequential rules that allow you to define the exact conditions for a Buy signal. The Sell signal is generated as the logical, symmetrical opposite.
For each rule, you can configure:
Source A & Source B: Choose from a wide range of data points:
Price values: Close, Open, High, Low.
Previous candle values: Close Before, Open Before, etc.
Moving Average values: MA 1 through MA 5.
MA Trend Colors: MA 1 Color, MA 2 Color Before, etc.
Operator: Define the comparison logic:
Standard: >, <, >=, <=
Events: Crossover, Crossunder
Color Logic: Is Color, Is NOT Color, Turned Color, Ceased to be Color
Important Note on Sell Signals: Sell conditions are designed to be the symmetrical opposite of the buy conditions you create.
If Buy is Close > MA 1, Sell will be Close < MA 1.
If Buy is MA 1 Color Is Green, Sell will be MA 1 Color Is Red.
If Buy is MA 1 Color Turned Green, Sell will be MA 1 Color Turned Red.
This ensures your sell strategy mirrors the logic of your buy strategy, preventing the "inverse problem" of getting sell signals on every candle that isn't a buy signal.
Mastering the Connectors: ( ) AND and ( ) OR
The true power of the Strategy Builder lies in its connectors, which allow you to create complex, multi-layered logic. The connector on a rule defines how it connects to the next active rule.
AND & OR: These work as you'd expect, creating a continuous chain of conditions.
Rule 1 (AND) & Rule 2 is evaluated as (R1 AND R2).
( ) OR (The Group Separator): This is your most powerful tool. It acts like closing a parenthesis in an equation. It finalizes the current group of rules and connects it to the
next group with a big "OR".
Example: (R1 AND R2) OR (R3 AND R4)
This creates two possible paths for a signal.
- Rule 1: Condition R1, Connector AND
- Rule 2: Condition R2, Connector ( ) OR <-- This closes the first group and links to the next with OR.
- Rule 3: Condition R3, Connector AND
- Rule 4: Condition R4
( ) AND (The Super-Filter): This allows you to create a "master" condition that must be true in addition to other complex conditions.
Example: (R1 OR R2) AND (R3 OR R4)
This requires a condition from the first group and a condition from the second group to be true.
- Rule 1: Condition R1, Connector OR
- Rule 2: Condition R2, Connector ( ) AND <-- This closes the first OR group and links to the next with AND.
- Rule 3: Condition R3, Connector OR
- Rule 4: Condition R4
By strategically combining these connectors, you can build any logical trading scenario you can imagine. We look forward to seeing the powerful strategies the community creates with this engine.
FVG Inversion + Improved Order Block (15/30/60) — by samoedlooking for ifvg + ob 15/30/60m
gives short and long signals
Liquidation/Doji CandlesLiquidation/Doji Candles
This indicator highlights candles with a body length smaller than 30% of the candle’s total range. These candles are displayed in orange, representing potential liquidation points or doji candles.
The idea behind this tool is to help traders spot moments of market indecision, where buying and selling pressure are in balance. Such conditions often hint at institutional liquidation events or possible retail-driven reversals.
You can fully customize the detection sensitivity by adjusting the percentage input. This allows you to tighten or loosen the condition depending on your trading style and market preference.
To support passive traders, the script also includes built-in alerts for:
• The formation of a new liquidation/doji candle.
• A close above its high (bullish engulfment).
• A close below its low (bearish engulfment).
These alerts make it easier to stay on top of potential market shifts without needing to constantly monitor the charts.
Reverse RSI [R] – Predictive RSI Price LevelsReverse RSI – Predictive RSI Price Levels
Description
This indicator is a modified and enhanced version of the original "Reverse RSI" by Franklin Moormann (cheatcountry), published under the MIT License. It estimates the price levels at which the RSI would reach specific thresholds, typically RSI = 30 (oversold) and RSI = 70 (overbought), based on current market conditions.
Key Features
Calculates price levels corresponding to RSI = 30 and RSI = 70
Helps forecast potential support and resistance zones based on RSI targets
Automatically updates with each new candle
Supports custom RSI length and price source (close, hl2, ohlc4, etc.)
Designed for traders who want to anticipate momentum extremes before they occur
Use Cases
Estimate how far the price must move to reach RSI oversold or overbought levels
Plan limit entries or exits based on projected RSI thresholds
Combine with standard RSI or other indicators for confirmation and analysis
Credits
This script is based on the original "Reverse RSI" by Franklin Moormann (cheatcountry) and released under the MIT License.
Modified and maintained by bitcoinrb.
Volume Stress Level V2Volume Stress Level V2, is designed to provide a nuanced view of "RECENT" trading volume by identifying different levels of volume stress relative to a smoothed average.
Key Features:
Dynamic Volume Stress Calculation: The indicator calculates volume stress based on a Simple Moving Average (SMA) of volume and its standard deviation. The length of the SMA and the multiplier for the standard deviation are fully customizable, allowing you to adapt the indicator to different market conditions and trading styles.
Visual Volume Zones: The script visually categorizes volume into distinct zones:
Low Volume Zone: Represented by a white background, indicating periods of lower-than-average trading activity.
Normal Volume Zone: Highlighted in blue, signifying typical trading volume.
Medium Volume Zone: Displayed in yellow, denoting a moderate increase in volume.
High Volume Zone: Shown in orange, indicating significant volume spikes.
Spike Volume Zone: Marked in black, representing extreme volume events.
Customizable Background: You have the option to enable or disable the colored background fill for these volume zones, providing flexibility in how you visualize the data.
Bar Coloring: The volume bars themselves are color-coded according to the identified volume stress level, offering an immediate visual cue on your chart.
Adjustable Parameters:
VSL Length: Controls the lookback period for the SMA and standard deviation calculations.
Multiplier: Adjusts the sensitivity of the standard deviation bands, thereby influencing the width of the volume zones.
How to Use:
This indicator can be valuable for identifying potential shifts in market sentiment, confirming breakouts, or spotting periods of accumulation and distribution. By observing the transitions between volume zones, traders can gain insights into the conviction behind price movements.
