Algorithmic Kalman Filter [CRYPTIK1]Price action is chaos. Markets are driven by high-frequency algorithms, emotional reactions, and raw speculation, creating a constant stream of noise that obscures the true underlying trend. A simple moving average is too slow, too primitive to navigate this environment effectively. It lags, it gets chopped up, and it fails when you need it most.
This script implements an Algorithmic Kalman Filter (AKF), a sophisticated signal processing algorithm adapted from aerospace and robotic guidance systems. Its purpose is singular: to strip away market noise and provide a hyper-adaptive, self-correcting estimate of an asset's true trajectory.
The Concept: An Adaptive Intelligence
Unlike a moving average that mindlessly averages past data, the Kalman Filter operates on a two-step principle: Predict and Update.
Predict: On each new bar, the filter makes a prediction of the true price based on its previous state.
Update: It then measures the error between its prediction and the actual closing price. It uses this error to intelligently correct its estimate, learning from its mistakes in real-time.
The result is a flawlessly smooth line that adapts to volatility. It remains stable during chop and reacts swiftly to new trends, giving you a crystal-clear view of the market's real intention.
How to Wield the Filter: The Core Settings
The power of the AKF lies in its two tuning parameters, which allow you to calibrate the filter's "brain" to any asset or timeframe.
Process Noise (Q) - Responsiveness: This controls how much you expect the true trend to change.
A higher Q value makes the filter more sensitive and responsive to recent price action. Use this for highly volatile assets or lower timeframes.
A lower Q value makes the filter smoother and more stable, trusting that the underlying trend is slow-moving. Use this for higher timeframes or ranging markets.
Measurement Noise (R) - Smoothness: This controls how much you trust the incoming price data.
A higher R value tells the filter that the price is extremely noisy and to be more skeptical. This results in a much smoother, slower-moving line.
A lower R value tells the filter to trust the price data more, resulting in a line that tracks price more closely.
The interaction between Q and R is what gives the filter its power. The default settings provide a solid baseline, but a true operator will fine-tune these to perfectly match the rhythm of their chosen market.
Tactical Application
The AKF is not just a line; it's a complete framework for viewing the market.
Trend Identification: The primary signal. The filter's color code provides an unambiguous definition of the trend. Teal for an uptrend, Pink for a downtrend. No more guesswork.
Dynamic Support & Resistance: The filter itself acts as a dynamic level. Watch for price to pull back and find support on a rising (Teal) filter in an uptrend, or to be rejected by a falling (Pink) filter in a downtrend.
A Higher-Order Filter: Use the AKF's trend state to filter signals from your primary strategy. For example, only take long signals when the AKF is Teal. This single rule can dramatically reduce noise and eliminate low-probability trades.
This is a professional-grade tool for traders who are serious about gaining a statistical edge. Ditch the lagging averages. Extract the signal from the noise.
Indicators and strategies
Multi-Timeframe Daily EMA Levels (5 / 10 / 21)Multi-Timeframe Daily EMA Levels (5 / 10 / 21)
This indicator plots the daily EMA 5, EMA 10, and EMA 21 levels as horizontal reference lines (only near the current candle to minimize noise) on any chart timeframe. Instead of recalculating EMAs in the chart’s resolution, it always pulls the latest values from the daily timeframe and anchors them as fixed horizontal lines.
🔹 Features:
Uses daily EMAs (5, 10, 21) regardless of the chart’s current timeframe.
Lets you control visibility on Daily, Weekly, or Monthly charts with checkboxes.
🔹 Use case:
Track where key daily EMA levels are while analyzing lower or higher timeframes.
Useful for swing traders who want to monitor bounce/rejection off daily EMAs to manage/enter positions.
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.
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.
30 Min Pivot Enhanced# 30 Min Pivot Enhanced
The **30 Min Pivot Enhanced** indicator detects pivot reversals and potential buy/sell signals on the 30-minute timeframe. It combines streak-based trend exhaustion with pivot breakouts and optional flush (capitulation) candle detection.
## Core Logic
- Trend streaks: pivots form after consecutive same-color candles (`trendLength`)
- Flush detection: oversized red candles (ATR based) flagged as potential exhaustion
- Pivot candidates:
- Bullish → after a red streak (or flush) followed by a green candle
- Bearish → after a green streak followed by a red candle
- Confirmation: price must break pivot high/low within `maxBarsAfterPivot`
## Inputs
- Consecutive Trend Candles → streak length required for pivot
- Maximum Bars After Pivot → confirmation window
- Show Pivot Lines → toggle pivot levels on chart
- Flush Detection → ATR-based capitulation detection
- Flush Lookback → how many bars to keep flush valid
- Enable Buy/Sell Alerts → toggle trade alerts
## Visuals
- Buy pivots → green "P Buy" labels under price
- Sell pivots → red pivot lines at lows (if enabled)
- Flush markers → optional debug labels showing capitulation bars
## Alerts
- Buy Alert → price breaks above pivot high
- Sell Alert → price breaks below pivot low
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Best for traders watching **30-minute reversal plays**, especially where exhaustion or flush candles precede a breakout.
Contract Interest Turnover T3 [T69]Overview
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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
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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
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- Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile.
Under the Hood (Formulas & Logic)
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- 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
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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
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- 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
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- 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
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- Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed.
Credit
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- 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
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Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
TEWMA Supertrend - [JTCAPITAL]TEWMA Supertrend is a modified way to use Triple Exponential Weighted Moving Average inside Supertrend logic for Trend-Following
The indicator works by calculating in the following steps:
1. Calculate the Triple Exponential Moving Average with Weighted Moving Average as input.
2. Calculate the ATR over the Supertrend Length
3. Use the Triple Exponential Weighted Moving Average, and add the multiplier times the ATR for the upper limit, and subtract the multiplier times the ATR for the lower limit.
4. Define Buy and Sell conditions based on the price closing above or below the upper and lower limits.
--Buy and sell conditions--
- The buy and sell conditions are defined by the price going above/below the upper and lower limits, calculated by (TEWMA +/- multi * ATR).
- When this goes on the opposite direction of the current trend, the trend changes. If this goes in the same direction of the current trend, the line follows the price by moving up.
- When price gets closer to the limits the limits do not change. The upper limit only moves when the upper decreases, and the lower limit only moves when the lower increases.
- The ATR gets subtracted from the lows or added onto the highs to eliminate false signals in choppy markets, while enforcing fast entries and exits.
--Features and Parameters--
- Allows the usage of different sources
- Allows the changing of the length of the ATR
- Allows the changing of the length of the TEWMA
- Allows the changing of the multiplier to increase or decrease ATR usage
--Details--
This script is using TEWMA as input for the modified Supertrend. Using a TEWMA and getting a higher multiplier to the ATR is meant to decrease false signals. Which can be a problem when using a normal Supertrend. Using the TEWMA also ensures fast entries and exits from fast market moves after a calm period. Ensuring you don't stay left behind.
Be aware that lowering the multiplier for the ATR will allow for faster entries and exits but also allow for more false signals. It is recommended to change the parameters to fit your liking and to adjust to the timeframe you are working on.
Enjoy!
Supertrend Channel Histogram OscillatorThis histogram is based on the script "Supertrend Channels "
The idea of the indicator is to visually represent the interaction of price with several different supertrend channels of various lengths in an oscillator in order to make it much more clear to the trader how the longer trends are interacting with shorter trends of the price movement of an asset. I got this idea from the "Kurutoga Cloud" and "Kurutoga Histogram" by D7R which is based on the centerlines of 3 Donchian Channels, however after I started using the Supertrend Channel by LuxAlgo I found that it was a more reliable price range channel than a standard Donchian Channel and I made this indicator to accompany it.
This indicator plots a positive value above 0 when the price is above the centerline of the supertrend channel and a negative value below 0 when the price is below the centerline.
The first supertrend's length and multiple can be adjusted in the settings.
The given supertrend input is then doubled and quadrupled in both length and multiplication so that a supertrend histogram with the values of 3, 3 will be accompanied by 2 additional supertrend histograms with the values of 6, 6 and 12, 12.
The larger price trend histograms are clearly visible behind the short term supertrend channel's histogram, giving traders a balanced view of short and long term trends interacting. The less visible columns of the larger trend remain above or below the 0 line behind the more visible short term channel trend, helping to spot pullbacks within a larger trend.
Additionally, when the 3 separate histograms are all positive or all negative but the histogram columns are separating from each other this can indicate a potential trend exhaustion leading to reversal or pullback about to happen.
The overbought and oversold lines at 50 and -50 are representative primarily of the short term trend with above 50 or below -50 indicating that the price is pushing the boundary and potentially beginning a new short term supertrend in the opposite direction. If values do not noticably exceed these levels, then the current short term trend movement can be viewed as a pullback within a larger trend, with continuation potentially to follow.
I have had troubles converting the original code to v6 so this will be published here in v5 of pinescript to be used in conjunction with the original. I was intending to create a companion indicator for this oscillator that represents 3 supertrends with corresponding 2x and 4x calculations based on LuxAlgo's script, but I can't seem to get it to work correctly in v5.
For best visualization of the trends 3 LuxAlgo Supertrend channels with 2x and 4x values should be used in conjunction with each other to fully visualize the histogram.
Used in conjunction with other indicators this can be a very effective strategy to capture larger trend moves and pullbacks within trends, as well as warn of potential price trend exhaustion.
TURT Donchian Ladder v3.13How to trade TURT+ with the v3.13 script
1) Pick the system & arm the entry
• In the script, choose System = S1 (20D) or S2 (55D).
The HUD always shows both rails for reference, but the ladder (Entry/+Adds) uses the system you pick.
• Your Entry is shown as Pivot + 0.1×N (rounded).
• Place a stop-limit “parent” order at that Entry price. (Classic Turtle uses an entry stop; I suggest a tight limit offset so you don’t chase a blow-through.)
• Initial stop = N2 = Entry − 2×N (rounded). Put that in immediately.
If you like only confirming on a bar close, leave confirmClose = true and place the parent after the close that breaks out. If you want intrabar fills, set confirmClose = false and keep the stop-limit active intraday.
2) Size it the way you planned
• Set acctEquity / riskCapPct / posCapUSD / entryFrac / entryRiskFrac / sizingMode.
• HUD gives Rec Entry Qty (when flat) and, once in, it shows:
• Next Rung (price)
• Suggested AddShares (honors RiskCap & PosCap)
• Proj Stop if Add (ratcheted N2)
• A limiter note (RiskCap or PosCap) if you’re constrained.
3) After entry fills, stage the ADDs (only at fixed +N steps)
• Adds are NOT “every Donchian break.” You add only at:
• Add-1 = Entry + 0.5×N
• Add-2 = Entry + 1.0×N
• Add-3 = Entry + 1.5×N (optional)
• Use the HUD’s Suggested AddShares for each rung (it respects your RiskCap/PosCap).
• Place stop-limit orders for each add (either immediately as a contingent OTO chain that arms only after Entry fills, or you arm each add when price approaches—your choice).
• On each add fill, ratchet the catastrophic stop for the entire position to Last-Add − 2×N (the script and HUD show Proj Stop if Add so you know where it will land). Never move it lower.
Pro tip: If your broker supports OTO/OTOCO:
• OTO parent = Entry stop-limit.
• On fill, fire an OCO with the N2 stop (no target), and also stage child stop-limits for Add-1 / Add-2 / Add-3 with the correct sizes. If your broker can’t chain that deep, just use the script’s alerts (Entry/Add-1/Add-2/Add-3/Exits) to place/adjust orders quickly.
4) Exits (two layers)
• Catastrophic (always on): the N2 stop you’re ratcheting (Last-Add − 2×N).
• Trend exits (runner):
• S1: 10-low close (HUD shows it).
• S2: 20-low close (HUD shows it).
• Profit-taking (optional): sell ~50% at +2.5R to +3R vs current N2; let the runner trail with 10-low/20-low. You can keep N2 as a hard backstop.
5) Should you pre-set everything or buy live?
Both work; pick the style that fits you:
Preset (Turtle-pure, rules-based)
• ✅ You won’t miss the breakout; minimal discretion.
• ✅ Broker handles fills even if you’re away.
• ⚠️ You may get the occasional intraday “poke” (use confirmClose + place after close if you want fewer).
Buy on break manually
• ✅ Lets you check tape/volume or any extra gates before clicking.
• ⚠️ Higher chance of slippage or of simply missing the trigger.
A nice hybrid: place the Entry order, then arm Add-1/2/3 when price is nearing each rung and the HUD shows Suggested AddShares > 0 (green risk read).
⸻
6) Quick checklist per trade
1. System: S1 or S2?
2. Levels: Entry / Add-1 / Add-2 / Add-3 / 10-low / 20-low / N2 (rounded).
3. Sizing: confirm RiskCap/PosCap; HUD shows Suggested AddShares and limiter.
4. Orders:
• Parent Entry stop-limit.
• N2 stop (rounded).
• Stage adds (stop-limits) with sizes from HUD.
5. On fill: ratchet stop to Last-Add − 2×N; adjust remaining adds and sizes.
⸻
7) Example with your MU position (pattern)
• You’re already in: set entryQty and entryPman in the inputs to match your fill.
• HUD now focuses on Next Rung, Suggested AddShares, and Proj Stop if Add.
• If Suggested AddShares = 0 and limiter says RiskCap or PosCap, you’ll still see the next rung price and Proj Stop if Add so you can decide whether to override.
⸻
Bottom line
• Entry: buy the Donchian breakout + 0.1N with a stop-limit (Turtle style).
• Adds: only at +0.5N steps, sized by HUD; not on every future Donchian break.
• Stops: keep (and ratchet) the N2 catastrophic; trail runner on 10-low / 20-low.
If you want, tell me your broker/platform and I’ll map this to exact order ticket types (stop-limit/OTO/OCO) and a tiny checklist you can keep next to your screen.
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.
WSW - Kalman FilterElevate your trading with the WSW - Kalman Filter, a cutting-edge tool designed for institutional-grade price smoothing. Unlike traditional SMA or EMA, this Kalman filter dynamically predicts and adapts to market movements, delivering smoother signals with minimal lag. Perfect for traders seeking to filter noise from price action (OHLC or custom sources) while staying responsive to trends and reversals.
Key Features:
Adaptive Noise Estimation: Automatically adjusts process and measurement noise based on market volatility, ensuring optimal performance in calm or choppy conditions.
Joseph Form Updates: Uses numerically stable covariance calculations for reliable filtering.
Comprehensive Diagnostics: Includes a filter health monitor (green = stable, red = warning) and optional plots for innovation and adaptive parameters to fine-tune your setup.
Customizable Parameters: Adjust base noise levels, innovation window, and adaptive bounds to suit any market or timeframe.
Alert Conditions: Set alerts for filter health issues or crossovers with raw price for actionable signals.
Why Use It?
Building on advanced smoothing concepts like the Dickson Moving Average, this Kalman filter excels at capturing the "true" price trend by modeling price dynamics and reducing noise. Whether you're trading stocks, forex, or crypto, this indicator helps you make cleaner, data-driven decisions. Check out my YouTube or Instagram for a deep dive on how it outperforms traditional averages on a sine wave test!
How to Use:
Apply to your chart (defaults to close price).
Tweak Base Q (process noise) and Base R (measurement noise) for responsiveness vs. smoothness.
Enable Adaptive Noise Estimation (recommended) for auto-tuning to market conditions.
Monitor filter health via the background color or use the diagnostic plots for optimization.
Open Source: Fully customizable Pine Script code—modify it to fit your strategy!
Feedback: Try it out, share your results, and let me know on socials how it’s working for you!
Created by WallStWizzo | Follow for more advanced trading tools!
Current Candle Sizeprints the size of the candle below so you can identify if it's too large to take a position using the 9/20 strategy
KRQ Sessions Asia, Frankfurt, London, NY Open, NY Trap, MM1, MM2Every important timeframe.
1. Asia
2. Frankfurt
3. London
4. NY Open
5. NY Trap
6. MM1
7. MM2
FVG Inversion + Improved Order Block (15/30/60) — by samoedlooking for ifvg + ob 15/30/60m
gives short and long signals
APC – Anti-Analysis-Paralysis Kompass APC – Anti-Analysis-Paralysis Compass (Pine v5).
Research/education indicator that compresses trend from 5 timeframes into one compass with Direction, Score, and Coherence (TF agreement). Non-repainting with a high-contrast breakdown table and in-chart help. No financial advice.
What it is
APC is a research/education tool that condenses trend information from five timeframes into a single compass. It shows Direction (↑/↓/→), a weighted Score, and Coherence (how strongly timeframes agree). The script is non-repainting (security(..., lookahead=off)) and includes a readable breakdown panel and example alerts.
How it works
• For each timeframe APC fits a linear regression to price, measures the slope change over k bars, optionally normalizes by ATR%, then maps it to +1 / 0 / −1 using a Deadzone (small slopes → neutral).
• A (weighted) sum of the five signs forms the Score.
• Coherence = |Score| / maxScore (0–100%), i.e., degree of TF alignment.
Quick start (suggested defaults)
• Timeframes: 15m · 1h · 4h · 1D · 1W • Weights: 1, 1, 1, 1.5, 2
• LinReg length: 100 • Slope Δ window: 10
• ATR normalization: ON • Deadzone: 0.03–0.05
• Coherence lock (for example alerts): 60%
Example research filters (non-advisory)
Many users test: Bullish bias when Score ≥ +3 and Coherence ≥ 60%; bearish bias when Score ≤ −3 and Coherence ≥ 60%. These are illustrative defaults only—configure and test your own thresholds.
Optional: pair with Kagi
Use APC for bias/conviction and Kagi turns for timing. Typical Kagi (swing): base 15m–1h, reversal ATR(14) × 1.5–2.5 or 1–3%.
Notes
Raise Deadzone in choppy markets; lower it for earlier flips. On very illiquid or young symbols, lengthen lenLR.
Disclaimer
APC is a research & educational indicator. It does not provide financial advice or recommendations. Use at your own risk. License: MIT.
Bullish & Bearish Once Bar PainterThe Bullish & Bearish First Bar Marker is a simple yet powerful indicator designed to highlight the first bullish and bearish bars in a sequence, helping traders identify key momentum shifts in the market. It marks:Bullish Bars: The first bar where the high and low are both higher than the previous bar (high > high and low > low ), painted green with a "Bullish" label.
Bearish Bars: The first bar where the high and low are both lower than the previous bar (high < high and low < low ), painted red with a "Bearish" label.
To avoid clutter, consecutive bullish or bearish bars are not marked until a non-bullish or non-bearish bar resets the sequence. This makes it ideal for spotting the start of strong upward or downward price movements.
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.
ICT Daily 50% RangeThis indicator marks out the 50% daily range, ideal as Support & Resistance and for ICT Trading.
Euler-Lagrange Bands [AGP] Ver.1.0Euler-Lagrange Bands : A Modern Approach to Volatility and Trend Analysis
indicator is an innovative technical analysis tool that uses a Kalman Filter to create dynamic and price-sensitive volatility bands. Unlike traditional Bollinger Bands or Keltner Channels, which rely on moving averages, this approach applies advanced engineering and mathematical principles to intelligently smooth price data. This reduces market noise and provides a clearer view of an asset's boundaries and its fair value.
Key Features
Dynamic and Smoothed Bands: The upper and lower bands adapt in real time to market volatility, offering a fluid and precise channel for identifying overbought and oversold zones.
"Fair Value" Midpoint: The indicator calculates and displays a midpoint that serves as a "fair value" reference. This is crucial for assessing whether the current price is over- or undervalued.
Multidimensional Analysis: It integrates with RSI and volume analysis to provide a comprehensive market view. The floating RSI and volume labels change color, offering quick and effective visual alerts.
Clear Visual Signals: The indicator draws shapes on the chart to mark band crosses, potential reversals, and trend confirmations. Additionally, the candlestick color changes to indicate whether the price is above or below the midpoint.
Real-Time Information Panel: A table in the top corner displays the exact values of the bands and the midpoint, giving you all the crucial information at a glance without cluttering the chart. The table's cell colors also change to alert you to price crosses.
Logic and Adjustments
The elb_process_noise and elb_measurement_noise values are fixed in this code to optimize band performance.
The only parameter the user can change from the indicator's settings in TradingView is length_periods, which allows for adjusting the bands' lookback period without altering the algorithm's sophisticated filtering logic.
The default values have been selected to provide an optimal balance between the indicator's stability and responsiveness, aiming to avoid false signals and ensure accurate market tracking.
How to Use It
This indicator is ideal for traders looking for a more sophisticated alternative to conventional volatility bands. It can be used to:
Identify an asset's price range.
Detect potential reversals when the price reaches or crosses the bands.
Confirm trend strength with volume and RSI analysis.
Make decisions based on the price's relationship to its "Fair Value."
Disclaimer
WARNING: This indicator is provided for educational and technical analysis purposes only. It does not constitute, and should not be interpreted as, financial advice. The buying and selling of financial instruments involve significant risk, and losses may exceed deposits. The past performance of any indicator or strategy is not a guarantee of future results. Users must conduct their own research, exercise due diligence, and consider their personal financial situation before making any investment decisions. The code's creator is not responsible for any losses or damages that may arise from the use of this indicator.
NY Range — single box per session (v6)Draw the box for the setting timing.
You can set the custom TF and indicator draw the box.
