[COG] NautilusOverview
This indicator combines multiple technical analysis tools to identify high-probability entry points in trending markets. It uses moving average crossovers for trend direction, Bollinger Bands for mean reversion opportunities, and optional filters to reduce false signals and avoid choppy market conditions.
What Makes This Indicator Unique
Heiken Ashi Toggle:
All calculations can be performed on either regular or Heiken Ashi candles with a single click
Multi-Layer Filtering System: Four independent filters work together to improve signal quality
First Entry Detection: Automatically identifies and labels the first signal after a trend change
Anti-Overtrading Protection: Built-in cooldown mechanism prevents signal spam
Core Components
1. Trend Detection (EMA/SMA Crossover)
The indicator uses a 15-period EMA and 50-period SMA to determine market direction. Buy signals only occur when EMA > SMA, and sell signals only when EMA < SMA.
// Trend Detection
bullishTrend = ema15 > sma50
bearishTrend = ema15 < sma50
2. Bollinger Bands Mean Reversion
Entry signals trigger when price touches or penetrates the Bollinger Bands, indicating potential reversal or pullback opportunities within the established trend.
//Bollinger Band Touch Detection
lowerBandTouch = selectedLow <= bbLower
upperBandTouch = selectedHigh >= bbUpper
// Base Entry Conditions
baseBuySignal = bullishTrend and lowerBandTouch and bullishClose
baseSellSignal = bearishTrend and upperBandTouch and bearishClose
3. Candle Confirmation
Signals require a bullish candle close (close > open) for buy signals and bearish candle close (close < open) for sell signals, ensuring momentum alignment.
// Candle Close Type
bullishClose = selectedClose > selectedOpen
bearishClose = selectedClose < selectedOpen
Optional Filters (All Toggleable)
Filter 1: StochRSI Momentum
Ensures entries occur during oversold/overbought conditions. Buy signals require StochRSI < 20, sell signals require StochRSI > 80.
// StochRSI Calculation
rsi = ta.rsi(stochRSISource, rsiLength)
stochRSI_K = ta.sma(ta.stoch(rsi, rsi, rsi, stochRSILength), stochKSmooth)
// Filter Conditions
stochRSIOversoldCondition = stochRSI_K < stochRSIOversold
stochRSIOverboughtCondition = stochRSI_K > stochRSIOverbought
Filter 2: MA Separation (Anti-Chop)
Blocks signals when moving averages are too close together, indicating sideways/choppy market conditions. Default threshold is 1% separation.
// Calculate percentage separation between EMA and SMA
maSeparationPct = (math.abs(ema15 - sma50) / sma50) * 100
// MA separation filter condition
maSeparationValid = maSeparationPct >= maSeparationThreshold
Why this matters: When the 15 EMA and 50 SMA are very close (< 1% apart), the market is typically consolidating. Signals in these conditions have lower win rates.
Filter 3: Cooldown Period
Prevents over-trading by blocking new signals for a specified number of bars (default: 10) after a signal occurs. Buy and sell cooldowns are tracked separately.
// Variables to track the bar index of the last signal
var int lastBuySignalBar = na
var int lastSellSignalBar = na
// Calculate bars since last signal
barsSinceLastBuy = na(lastBuySignalBar) ? 999999 : bar_index - lastBuySignalBar
// Cooldown filter condition
buyCooldownValid = barsSinceLastBuy >= cooldownBars
// Update tracking when signal fires
if buySignal
lastBuySignalBar := bar_index
Advanced Features
Heiken Ashi Mode
Toggle between regular candles and Heiken Ashi candles for all calculations. Heiken Ashi candles smooth price action and can reduce false signals in volatile markets.
// Fetch Heiken Ashi OHLC values
= request.security(
ticker.heikinashi(syminfo.tickerid),
timeframe.period,
)
// Select which OHLC to use based on toggle
selectedClose = useHeikenAshi ? haClose : close
First Entry Detection
Automatically identifies and labels the first signal after a trend change with "1. Trend Cycle Entry" text. This helps traders distinguish between fresh trend entries and continuation signals.
// Detect trend changes
trendChangedToBullish = bullishTrend and not bullishTrend
// Reset tracking when trend changes
if trendChangedToBullish
hadBuySignalInCurrentBullTrend := false
// Identify first signal in new trend
isFirstBuyInTrendCycle = buySignal and not hadBuySignalInCurrentBullTrend
How Signals Are Generated
The indicator uses a layered approach where each condition must be satisfied:
// Apply all filters
buySignal = enableBuySignals and baseBuySignal and
(not enableStochRSIFilter or stochRSIOversoldCondition) and
(not enableMASeparationFilter or maSeparationValid) and
(not enableCooldownFilter or buyCooldownValid)
Buy Signal Requirements:
✅ 15 EMA above 50 SMA (bullish trend)
✅ Candle low touches or goes below lower Bollinger Band
✅ Candle closes bullish (green)
✅ (Optional) StochRSI < 20
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Sell Signal Requirements:
✅ 15 EMA below 50 SMA (bearish trend)
✅ Candle high touches or goes above upper Bollinger Band
✅ Candle closes bearish (red)
✅ (Optional) StochRSI > 80
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Customization Options
Moving Averages:
Adjustable EMA length (default: 15)
Adjustable SMA length (default: 50)
Source selection (Close, Open, High, Low, HL2, HLC3, OHLC4)
Bollinger Bands:
Adjustable length (default: 20)
MA type selection (SMA, EMA, SMMA, WMA, VWMA)
Adjustable standard deviation multiplier (default: 2.0)
StochRSI Filter:
Adjustable RSI length (default: 14)
Adjustable Stochastic length (default: 14)
Customizable oversold/overbought levels (default: 20/80)
MA Separation Filter:
Adjustable minimum separation percentage (default: 1.0%)
Cooldown Filter:
Adjustable cooldown period in bars (default: 10)
Visual Settings:
Customizable colors for all elements
Adjustable line widths
Toggle first entry labels on/off
How to Use
Basic Setup: Apply the indicator to your chart. By default, it shows moving averages, Bollinger Bands, and entry signals.
Choose Your Mode: Enable Heiken Ashi mode if you prefer smoother signals and are willing to accept some lag.
Enable Filters: Start with all filters disabled to see raw signals. Then enable filters one by one:
Start with MA Separation filter to avoid choppy markets
Add StochRSI filter to catch better momentum conditions
Add Cooldown filter to prevent over-trading
Adjust Parameters: Tune the parameters based on your timeframe and trading style:
Lower timeframes: Consider shorter cooldown periods
Higher timeframes: May want tighter MA separation requirements
Watch for First Entry Labels: The "1. Trend Cycle Entry" label highlights the highest-probability signals occurring right after trend changes.
Important Notes
⚠️ This indicator does not repaint. All signals appear on closed candles only.
⚠️ Past performance is not indicative of future results. This indicator should be used as part of a complete trading strategy with proper risk management.
⚠️ Filters reduce signal frequency: Enabling multiple filters will significantly reduce the number of signals. This is intentional to improve quality over quantity.
⚠️ Heiken Ashi mode considerations: While HA mode smooths signals, it can also introduce lag. Test both modes on your preferred timeframe.
Best Practices
Always backtest on your preferred timeframe before live trading
Start conservative with tighter filters, then loosen if needed
Pay special attention to "First Entry" signals for highest probability setups
Use appropriate position sizing and stop losses
Consider market conditions: trending vs ranging
Disclaimer
This indicator is for educational purposes only and should not be considered financial advice. Trading involves substantial risk of loss. Always do your own research and consider your risk tolerance before trading.
经济周期
ZeroLag MACD MTF Dashboard v3A stack of horizontal lines
Ultra-fast multi-timeframe bias reading
Perfect for:
HTF → LTF alignment
Filtering inputs
Trend confluence
Ahmed Order BlockAhmed Order Block
//
// ANTI-REPAINTING FEATURES:
// - Only processes order blocks on confirmed/closed bars (barstate.isconfirmed)
// - Uses historical bar references with explicit offsets
// - Mitigation checks only on confirmed bars
// - Pivot points are inherently confirmed by ta.pivothigh/pivotlow with lookback
//
// NEW FEATURES:
// - Session detection (London, NY, Asian)
// - Order block age tracking (in bars/candles)
// - Customizable info labels inside order blocks
// Session time ranges (in UTC/GMT)
// Asian Session: 00:00 - 09:00 UTC
// London Session: 08:00 - 17:00 UTC
// NY Session: 13:00 - 22:00 UTC
// These pivots are already confirmed - they look swing_length bars left and right
// The pivot value returned is from swing_length bars ago
// CRITICAL FIX: Only detect order blocks on confirmed bars
// This prevents OBs from appearing and disappearing during real-time bar formation
// Find bullish OB (last bearish candle before bullish move)
// The swing_low detected now actually occurred swing_length bars ago
Short-Term Cycle Investing Strategy This strategy use for short term cycle data use and useing phase accumilitain and distrubution and buy zone monthly weekly daily
ICT + AVP + CHoCH (Smart Money)just tried to check concept of ict avp and choch for trading in various charts
SAS 4H Positional ScreenerSAS 4H Positional Screener is a structure-based trend filter designed for 4-hour positional trading in Indian large-cap stocks.
It identifies high-probability bullish setups by combining trend alignment, price acceptance, and institutional market structure.
This screener is not a buy/sell strategy.
It is a professional pre-trade filter used to shortlist stocks that are ready or near-ready for LONG trades.
ALPHA POINTS PRO [MASTERY] [Takeda Trades 2026]ALPHA POINTS PRO 2026 © Takeda Trades
by @TakedaTradesOfficial
v1 01/30/2026
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🎯 ALPHA POINTS PRO 2026
v1.0 - 2026 © Takeda Trades
Professional Multi-Foundation Trading System with Advanced Risk Management
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📊 OVERVIEW
ALPHA POINTS PRO is a sophisticated trading indicator combining four foundation calculation methods, 15 precision trading modes, and intelligent risk management systems. Designed for traders seeking professional-grade analysis with customizable automation.
⚡ CORE FEATURES
🔷 Four Foundation Modes:
Keltner Channels - Weighted MA + ATR (volatility-based)
VWAP - Volume-weighted average with deviation bands
Bollinger Bands - SMA + Standard Deviation
Donchian Channels - Highest High / Lowest Low ranges
🔷 15 Trading Modes:
From Aggressive (±100) to Ultimate Mega Conservative (±1200), allowing precise risk tolerance calibration.
🔷 Advanced Risk Management:
24 Liquidation Levels (10x-500x leverage)
36 Fibonacci Targets (A+ to R+/R- lettered grades)
ATR-Based TP/SL with automatic adjustment
Previous Setup Extension - Carry forward untouched levels
🔷 TILT TRIGGERS System:
Real-time emotional state monitoring with 10 escalation levels from "Tilt Trigger" to "Broker Bankruptcy" - prevents revenge trading.
📈 HOW TO TRADE
STEP 1: SELECT YOUR FOUNDATION
Choose foundation mode based on market:
Trending markets → Keltner/Donchian
Range-bound → Bollinger/VWAP
Default: Keltner Channels (best all-around)
STEP 2: SET TRADING MODE
Match mode to risk tolerance:
Day trading: Aggressive-Balanced (±100 to ±200)
Swing trading: Conservative-Ultra (±250 to ±350)
Position trading: Extreme+ (±400+)
STEP 3: ENTRY SIGNALS
BUY: Green label appears when oscillator crosses below your selected threshold
SELL: Red label appears when oscillator crosses above your selected threshold
Wait for confirmation: Signal must appear on your chosen mode level
STEP 4: POSITION MANAGEMENT
Automatic TP/SL Lines:
Green lines = Take Profit targets
Red lines = Stop Loss levels
✅ emoji = TP hit (first touch)
💥 emoji = SL hit (liquidation level)
Grey line = Level exhausted (second touch)
Break-Even Line (Blue): Shows entry price and extends throughout sequence. Label displays current P/L in points.
STEP 5: EXIT SIGNALS
CLOSE (Yellow Circle/💲): Exit position when oscillator crosses zero
Time shown: Black label displays sequence duration
Fibonacci Levels: 36 profit targets activate on close (A+ to R+/-)
STEP 6: MULTI-TIMEFRAME CONFIRMATION
Check MTF table for trend alignment:
All timeframes GREEN → Strong buy bias
All timeframes RED → Strong sell bias
Mixed signals → Wait for alignment
🎨 VISUAL SYSTEM
Bar Colors:
Green bars = Active BUY sequence
Red bars = Active SELL sequence
Yellow bar = CLOSE/EXIT bar
Grey bars = No position
5-Band System:
Toggle 2x, 3x, 4x, 5x bands for volatility visualization
Upper bands (Red) = Resistance/Overbought
Lower bands (Green) = Support/Oversold
Inverse option available
⚙️ ADVANCED FEATURES
Performance Optimization:
Max Sequences Display: Limit to last 10 setups for faster loading
Sequence limiting reduces chart load by 90%
Time Analytics:
Real-time sequence duration tracking
Average time/candle statistics
Long sequence alerts (customizable threshold)
Label Modes:
Regular, Emoji, Numbered, Points, PRICE
Customizable colors and sizes
Strategy Modes:
HEDGING - Both long/short signals
LONG - Buy signals only
SHORT - Sell signals only
💡 PRO TIPS
✓ Enable "Show All Signal Levels" to see every threshold
✓ Use TILT TRIGGERS to identify emotional trading zones
✓ Previous TP/SL extension helps catch delayed targets
✓ Fibonacci levels auto-activate after close - watch for grade hits
✓ Numbered mode shows signal sequence for pattern recognition
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Requirements: Works on ALL timeframes (1s to Monthly)
Best For: Crypto, Forex, Stocks, Futures
Skill Level: Beginner to Professional
© 2026 Takeda Trades - MASTERY EDITION
RSI32 + Time Power ProjectionIndicate overbought and oversold conditions.
With the time power projection it works well on any time frame.
Recommended on the daily and weekly time frame.
Crypto Momentum OscillatorThe indicator uses an adaptive weighting system that dynamically adjusts component importance based on rolling correlations with BTC, creating a composite master score that signals optimal entry/exit conditions when macro tailwinds align with crypto momentum.
Trend-cycle reversion (multi-timeframe)Trend-cycle reversion (multi-timeframe) is a mean-reversion “stretch” gauge built around a simple idea: price often deviates from its recent path (trend + dominant swing rhythm), and those deviations become more actionable when you scale them by volatility and express them as a standardized score.
This script models the last N bars as:
1) a linear trend (to capture drift), plus
2) a single dominant cycle (to capture the most prominent oscillation inside the same window).
It then measures how far current price is from the model’s next-bar projection, normalizes that distance by ATR (volatility), and finally converts the result into a rolling Z-score. The output is displayed as a multi-timeframe dashboard so you can see “stretch vs. fit” across several time compressions at once.
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What you see on the chart
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The indicator draws a table (overlay) with up to 12 rows (configurable), one per timeframe from your CSV list.
Each row shows:
• TF: The timeframe being evaluated (e.g., 1, 5, 15, 60, 240, D).
• Z: The current Z-score of the volatility-scaled model gap on that timeframe.
• State: A simple interpretation using your Z threshold:
- “Short ▼” when Z > +threshold (price is extended above the model path)
- “Long ▲” when Z < −threshold (price is extended below the model path)
- “Hold •” when inside the band (not unusually stretched)
Colors follow the same logic: red for high positive Z, green for high negative Z, gray when neutral or unavailable.
Important: “Long/Short” here describes the direction of mean-reversion pressure (over/under the fitted path), not a complete trading system by itself.
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How it works (plain-English math)
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1) Optional log transform
If “Fit on log(price)” is enabled, the model runs on log(price) instead of raw price. This is often useful for markets that behave multiplicatively (large percentage moves, long-term exponential growth), because distances become closer to “percent-like” rather than absolute dollars.
2) Trend fit (linear regression in the window)
Over the last Window Length bars, the script estimates a straight-line trend. Think of this as the baseline path that best explains the window if you ignore swings.
3) Cycle search (best period by least-squares error)
After removing the linear trend, the script searches for a single sinusoidal cycle period between:
• Min Period and Max Period (in bars), stepping by Period Step.
For each candidate period, it computes the best-fitting sine+cosine components and measures the remaining error (SSE). The period with the smallest SSE is selected as the “best” cycle for that window.
To reduce recalculation cost and to keep the chosen cycle from flapping every bar, the script re-runs this period search only every “Re-search best period every N bars”. Between searches, it keeps using the last best period.
4) Next-bar projection and “gap”
Using the fitted trend + fitted cycle, the script projects the model value one bar ahead (relative to the window indexing). It then computes:
gap = (current value) − (projected value)
If “Invert sign” is enabled, the gap is multiplied by −1. This doesn’t change magnitude, it only flips interpretation (useful if you prefer the opposite sign convention).
5) Volatility scaling via ATR
The raw gap is divided by ATR to make it comparable across symbols and regimes. If you are fitting on log(price), ATR is also computed in log space using a log-based true range, then smoothed similarly (so the scale is consistent).
This produces a “gap in ATR units”.
6) Z-score standardization
Finally, the script computes a rolling Z-score of the ATR-scaled gap over “Z-score length”:
Z = (gapATR − mean(gapATR)) / stdev(gapATR)
This is what appears in the table. The Z-score answers: “How unusual is today’s model deviation compared to the last Z-score length observations?”
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How to interpret the Z-score
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Z near 0:
Price is close to the model path relative to recent volatility (nothing unusual).
Z above +threshold:
Price is meaningfully ABOVE the fitted path (stretched up). This can be read as elevated downside mean-reversion pressure — but it can also persist during strong trends.
Z below −threshold:
Price is meaningfully BELOW the fitted path (stretched down). This can be read as elevated upside mean-reversion pressure — but it can also persist during fast selloffs.
A practical way to use this indicator is to treat it as a “context filter” or “risk tool”:
• Fading extremes: look for mean-reversion setups when Z is beyond the threshold and price action confirms (e.g., momentum stalls, structure breaks, volatility contraction/expansion cues).
• Trend-aware reversion: only take “reversion” signals in the direction permitted by your separate trend filter (higher-timeframe trend, moving average regime, market structure, etc.).
• Take-profit / risk management: in a trend-following strategy, extremes can be used as partial profit zones or as “don’t chase here” warnings.
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Multi-timeframe (MTF) notes
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Each table row is computed with request.security() on that timeframe with no lookahead, so it is not using future bars to form the value.
However, like any live indicator, the value for an actively forming bar can change until that bar closes (especially on the lower timeframes). Also, higher-timeframe rows update when that higher-timeframe bar updates/closes.
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Inputs (what to change first)
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If you only change a few settings, start here:
• Window Length:
Controls how much history the model uses. Larger = smoother/stabler, but slower to adapt.
• Min/Max Period + Step:
Controls the cycle search range and granularity.
- Wider ranges can capture more possibilities but cost more computation.
- Smaller steps can find a closer match but also cost more.
• Re-search every N bars:
Higher = faster performance and more stability; lower = more adaptive but can be noisier.
• ATR length (scale gap):
Controls the volatility scale. Shorter reacts faster to volatility changes; longer is steadier.
• Z-score length:
Controls how “rare” extremes are. Longer lengths make Z more stable, but require more history and adapt slower to regime shifts.
• Z threshold:
Defines when the table labels “Long/Short”. Common choices are 1.5–2.5 depending on how selective you want extremes to be.
• Timeframes (CSV) + Max table rows:
Controls what you see in the dashboard.
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Limitations and expectations
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This is a single-cycle, windowed model. Markets can be multi-cycle, non-sinusoidal, or structurally shifting; in those cases the “best period” is simply the best approximation inside the window, not a guarantee of a true underlying rhythm.
Z-score extremes are not automatic reversal calls. In strong trends or during volatility shocks, Z can stay extreme longer than expected. Use this as a measurement tool, then combine it with your own confirmation and risk management.
This indicator is for analysis/education and does not provide financial advice.
Compact Manual Execution Checklist//@version=6
indicator("Compact Manual Execution Checklist", overlay=true)
)
tblPos = tblPosInput == "Top Left" ? position.top_left :
tblPosInput == "Bottom Right" ? position.bottom_right :
tblPosInput == "Bottom Left" ? position.bottom_left :
tblPosInput == "Center" ? position.middle_center :
position.top_right
// ==============================
// EMA CALCULATION
// ==============================
emaVal = request.security(
syminfo.tickerid,
emaTF == "" ? timeframe.period : emaTF,
ta.ema(close, emaLen)
)
emaBull = close > emaVal and emaVal > emaVal
emaBear = close < emaVal and emaVal < emaVal
// ==============================
// SCORE LOGIC (SAFE)
// ==============================
score = (tEMA ? 25 : 0) + (tBC ? 25 : 0) + (tTL ? 25 : 0) + (tOT ? 25 : 0)
grade = score == 100 ? "A+" : score == 75 ? "B+" : "POOR"
gColor = score == 100 ? color.green : score == 75 ? color.orange : color.red
// ==============================
// EMA PLOT
// ==============================
plot(emaVal, "EMA", color=color.orange, linewidth=2)
// ==============================
// CHECKLIST TABLE (ONCE)
// ==============================
var table t = table.new(tblPos, 2, 6, border_width=1)
if barstate.islast
table.cell(t, 0, 0, "RULE", bgcolor=color.gray)
table.cell(t, 1, 0, "✔ / ✖", bgcolor=color.gray)
table.cell(t, 0, 1, "EMA")
table.cell(t, 1, 1, tEMA ? "✔" : "✖", bgcolor=tEMA ? color.green : color.red)
table.cell(t, 0, 2, "B + C")
table.cell(t, 1, 2, tBC ? "✔" : "✖", bgcolor=tBC ? color.green : color.red)
table.cell(t, 0, 3, "TL")
table.cell(t, 1, 3, tTL ? "✔" : "✖", bgcolor=tTL ? color.green : color.red)
table.cell(t, 0, 4, "1T")
table.cell(t, 1, 4, tOT ? "✔" : "✖", bgcolor=tOT ? color.green : color.red)
table.cell(t, 0, 5, "SCORE")
table.cell(t, 1, 5, str.tostring(score) + "% " + grade, bgcolor=gColor)
// ==============================
// EMA BIAS LABEL (NO FLICKER)
// ==============================
var label biasLbl = na
if barstate.islast
label.delete(biasLbl)
biasTxt = emaBull ? "EMA ↑" : emaBear ? "EMA ↓" : "EMA —"
biasCol = emaBull ? color.green : emaBear ? color.red : color.gray
biasLbl := label.new(
bar_index,
high,
biasTxt,
style=label.style_label_left,
color=biasCol,
textcolor=color.white,
size=size.small
)
// ==============================
// SOFT BACKGROUND FEEDBACK
// ==============================
bgcolor(score == 100 ? color.new(color.green, 92) :
score == 75 ? color.new(color.orange, 92) :
na)
ORB/PreMarket High & LowORB High and Low with Daily Levels
Overview
The ORB High and Low indicator is an original lightweight TradingView tool designed to map key intraday reference levels in real time. It plots the Opening Range High and Low based on two user-defined time windows, along with the current day’s High and Low, directly on the chart as price develops.
The indicator is intentionally simple and rule-based, focusing on level identification rather than signal generation. This allows traders to use the plotted levels as objective reference points within their own trading strategies.
How the Indicator Works
At the start of each trading day, the indicator:
Tracks price during two configurable Opening Range periods
Calculates the High and Low for each Opening Range window
Continuously updates and plots the current day’s High and Low as new price data forms
All levels are derived from real-time price data and are fixed once their respective calculation windows are complete.
Displayed Levels
The indicator can display:
Opening Range High and Low for the first user-defined timeframe
Opening Range High and Low for a second, independent timeframe
Previous session High
Previous session Low
Each level is clearly labeled and can be visually customized to maintain a clean and readable chart.
Practical Use
Traders commonly use ORB and daily levels to:
Define intraday support and resistance
Assess early session volatility and directional bias
Evaluate breakouts or rejections from the opening range
Structure intraday trade planning around objective price levels
This indicator does not generate buy or sell signals and is designed to complement price action, market structure, and risk management techniques.
Customization
Users can:
Adjust both Opening Range time windows independently
Toggle individual levels on or off
Customize line styles, colors, and visibility
These options allow the indicator to be adapted to different markets and trading styles.
Markets and Timeframes
The ORB High and Low indicator can be used across stocks, futures, forex, and crypto, and is suitable for intraday timeframes where session-based analysis is relevant.
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm analysis using additional tools.
ICT Weekly Profile [KTY]【ICT Weekly Profile】📊
A tool for analyzing weekly price structure based on ICT concepts.
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📊 FEATURES
- PWH/PWL (Previous Week High/Low)
- Key liquidity levels where stops cluster
- Watch for sweeps and reversals
- PW Open/Close
- Tend to act as support/resistance
- Extended into current week for reference
- Range Box
- Visual display of previous week's range
- Price inside = Consolidation
- Price breaks out = Potential trend start
- Monday Range
- Monday often sets weekly high or low
- Mid-week sweeps are common
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✅ BEST FOR
- Swing traders
- Position traders
- Weekly bias analysis
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
trend analyzer v1Use this indicator as a simple visual assistant to spot trend direction and possible entry moments:
Add the indicator to your chart
Choose the timeframe you normally trade (for example 5m, 15m, 1H).
Apply the indicator; default settings are already optimized.
Read the lines
The green line reflects bullish (upward) pressure.
The red line reflects bearish (downward) pressure.
When green is clearly higher than red, the market is tending upward; when red is higher, it is tending downward.
Use the BUY / SELL labels
BUY label below a candle marks a moment when the candle structure favors an upward move.
SELL label above a candle marks a moment when the structure favors a downward move.
Treat these as potential entries or exits, and confirm with your own system (support/resistance, higher timeframe, etc.).
Check the summary table
Located at the top‑right of the chart.
Shows the current uptrend percentage, downtrend percentage, and a simple status: BUY, SELL, or NEUTRAL.
Use it as a quick “dashboard” to see whether the current candle environment supports long, short, or staying out.
Adjust only what you need
If the chart feels too crowded, turn Show Labels off to keep only the lines and table.
If you prefer a cleaner chart, you can hide the table and only use the labels and lines.
Practical use: keep your main strategy as the decision maker, and use this indicator to confirm whether the current bar structure is aligned with taking a long, taking a short, or waiting.
Stage 2 Weinstein Entry - Volumi & SMA (SNDK-like)beta testing stage 2 weinstein
allow to have signal when candle are over SMA 150 with volume
buy sell ultimate v1Multi‑timeframe trend screener with built‑in visual signals and alerts. It scans up to 5 higher timeframes plus the active chart to keep you trading in line with the dominant trend, then marks where trend conditions shift strongly enough to consider entering, taking profit, or reversing. The table dashboard can be shown in simple, medium, or complete mode so you can glance at just the essentials or a richer context, while the clean BUY / TP BUY / SELL / TP SELL markers help you focus on execution instead of constant chart reading. Designed for intraday and swing traders who want a structured, rule‑based view of trend alignment without having to manage multiple indicators manually.
Riesgo sp500 4.0Key Features:
- Day Filter:
The user can choose to run the strategy on all days or restrict it to a specific weekday (Monday–Sunday).
- Session Definition:
The breakout box is built during the New York morning session (05:00–09:30 NY time).
- At the start of the session, the script initializes a box with the high and low.
- It updates the box boundaries as new highs and lows occur until the session ends.
- Vertical and horizontal lines mark the box boundaries, extended until 12:00 NY.
- Breakout Logic:
After the session ends, the strategy waits for price to break above the box high or below the box low.
- The user can select which breakout number to trade (first, second, or third).
- When the chosen breakout occurs, the strategy enters a long (buy) or short (sell) position.
- Stop Loss and Take Profit:
- A stop loss is set near the midpoint of the box, adjusted at entry.
- Two take profit levels are defined:
- TP1 at 1.2 times the risk distance.
- TP2 at 2 times the risk distance.
- Labels are drawn on the chart to mark SL and TP levels.
ICT Kill Zone [KTY]ICT Kill Zone Indicator
This indicator displays ICT Kill Zones, which are high-liquidity trading periods during major exchange opening hours.
Smart money tends to make significant moves during these times, resulting in increased volatility and trading volume.
Four Kill Zones
- AS KZ (Asian): Lower volatility, range formation period
- LDN KZ (London): European session start, liquidity surge
- NY KZ (New York): Europe + US overlap, strongest moves
- LDN CL KZ (London Close): London closing, position unwinding period
Market Hours Display
- Shows actual trading hours for Asian, London, and New York markets
- High/low lines for each session
Session Indicators
- Visual markers at the bottom of chart showing active kill zones
- Labels when each kill zone begins
1. Identify which kill zone is currently active
2. Signals during kill zones (CHoCH/BOS, OB, FVG) have higher significance
3. Watch for Asian range breakout in London/New York sessions
4. Be cautious of false moves outside kill zone hours
Pro Tips:
- New York kill zone typically has the strongest moves
- London open often sets the daily direction
- Asian session forms the range that gets broken later
- Combine kill zones with other ICT concepts for best results
Show Kill Zones: Toggle kill zone display on/off
Show Market Hours: Toggle market hours lines on/off
Show Latest Data Only: Display only the most recent kill zone
Daylight Saving Time: Apply DST adjustment (On/Off)
Asian Kill Zone Started
London Kill Zone Started
New York Kill Zone Started
London Close Kill Zone Started
This indicator is designed for educational purposes.
Kill zones only display on 15-minute or lower timeframes.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
Key Levels h/l Key Levels — HTF High/Low, Opens, EQ & Monday Range
Key Levels is a streamlined multi‑timeframe market‑structure tool that automatically plots the most important HTF levels, session highs/lows, opens, EQ midpoints, and the previous 2‑day range. Designed for intraday and swing traders who rely on clean, reliable institutional reference points.
Features
Current & previous Daily / Weekly / Monthly / Quarterly / Yearly High/Low
Current & previous opens with full styling controls
EQ (midpoint) levels for all timeframes
Previous 2‑Day High/Low for breakout and liquidity setups
Daily separators + day‑of‑week labels
Monday Model with lines, labels, and optional background fill
Why Traders Use It
Clear HTF structure
Session‑based context
Clean, customisable visuals
No clutter, no repainting
Perfect for ICT‑style traders, intraday scalpers, and anyone who wants a precise, organised market‑structure map.






















