Supertrend with Keltner Channels ~ CharonQuantThe Supertrend with Keltner Channels Strategy is a trend-following and volatility indicator designed to filter noise and highlight high-quality directional opportunities.
Core Logic
The indicator is based on two complementary components:
• Supertrend defines the primary market regime (bullish or bearish)
• Keltner Channels define volatility expansion and contraction
Signals are only generated when both trend direction and volatility breakout agree.
Signal Conditions
A Buy signal is triggered when:
• Supertrend flips bullish
• Price breaks above the upper Keltner Channel
A Sell signal is triggered when:
• Supertrend flips bearish
• Price breaks below the lower Keltner Channel
If one condition is missing, no signal is produced. This design prioritizes signal quality over signal frequency.
Visual Structure
The indicator uses a clear visual hierarchy:
• Bar coloring reinforces directional bias
• Supertrend acts as the main directional spine
• Keltner Channels provide volatility context
• Buy and Sell labels mark execution points
All visual elements can be enabled or disabled from the Visual Settings panel.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:BTCUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
Wskaźniki i strategie
Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch)Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch) — Full Description (v1.6.1, Pine v6)
*Experimental - *Test Phase*
1) What this indicator is intended to do
This indicator attempts to algorithmically discover “mine shaft” price structure on a chart by:
Collecting structural anchor points (gaps and optionally pivots),
Generating candidate trend “rails” (centerline + parallel upper/lower borders) from pairs of anchors,
Fitting an optimal channel width around each candidate centerline,
Scoring candidates based on how well price action conforms to the channel (touches + containment),
Selecting and rendering:
the main shaft channel (primary),
additional drifts (secondary shafts per direction),
And then detecting Ore Pockets: time locations where multiple selected lines intersect (time confluence / intersection clustering).
The conceptual model is:
A shaft = a best-fit channel that price respects over time (the “main tunnel”).
Drifts = alternate channels close in quality to the main shaft (secondary tunnels).
Ore pockets = future/past time coordinates where multiple channels’ centerlines intersect densely (confluence in time, not necessarily in price).
2) What it is doing right now (current behavior)
In its current form, the script does a bounded, performance-limited scan:
It stores a limited number of anchor points in arrays.
It only considers a bounded number of recent anchors per direction.
It constructs candidate lines from anchor pairs and evaluates channel fitness using sampled bars.
On the last bar, it selects top candidates per direction and draws:
a “main” channel per mode (single best overall, or separate up/down),
plus optional drift channels,
plus ore pocket markers.
It is producing meaningful channels and drifts, but it is currently more likely to lock onto a strong “local” shaft than the one macro shaft spanning the entire market structure.
3) Core mechanics (how the script finds shafts)
3.1 Anchor generation (what points it uses)
Anchors are the “support points” used to build candidate shaft centerlines.
Two anchor families are supported:
A) Gap anchors (from your selected gap mode)
These attempt to capture “displacement events” and their boundaries/mids.
B) Pivot anchors (optional structural anchors)
These use pivots to inject macro structure points that are not strictly gap-based.
All anchors are stored as:
anchorX: bar_index of anchor
anchorY: price of anchor
anchorD: direction flag (+1 for up, -1 for down)
Anchors are capped by maxAnchors with FIFO trimming.
3.2 Candidate generation (how it produces centerlines)
For each direction (+1 and -1):
Collect “recent” anchors of that direction within lookbackBars (bounded to maxDirAnchors).
For each pair of anchors (x1,y1) and (x2,y2) that satisfy:
spacing within ,
slope sign consistent with direction,
Construct the line equation:
slope m and intercept b
Fit a channel width w around that line (via width mode).
Score it (touches + inside count minus width penalty).
Keep the top K rails (K = driftCount+1 typically).
3.3 Scoring model (what “best” means right now)
For a candidate centerline:
At sampled bars (stride sampling), compute:
channel top = y(x) + w
channel bot = y(x) - w
Evaluate:
Inside: candle range fits within the channel ± tolerance
Touches: high near top border, low near bottom border (within tolerance)
Score formula:
score = insideCount * insideWeight
+ touchCount * touchWeight
- (w / ATR) * widthPenalty
So:
Higher inside and touch counts increase score
Wider channels are penalized (in ATR units) to avoid “cheating” via enormous width
3.4 Width fitting (how the channel thickness is chosen)
Width is either:
Fit (scan widths): scans widths between a min width and a max deviation cap and selects the best scoring width.
Fixed ATR Envelope: uses a fixed width derived from ATR (currently hard-coded to a 2.0 ATR envelope in your present draft).
Fixed Max Deviation: width is max observed deviation from line in sampled window.
This matters because “macro shaft” detection is strongly influenced by whether the width-fitting is allowed to expand enough to contain large historical moves, without being penalized into losing to a smaller local shaft.
3.5 Rendering (what gets drawn)
For any selected rail, it draws:
Upper border line (top rail)
Lower border line (bottom rail)
Optional centerline (main only)
Optional fill between borders (main only)
Label at current bar with touches and inside count
Drifts render similarly but without main-only features (depending on flags).
3.6 Ore Pocket detection (time confluence)
Ore pockets are not “price zones” directly.
They are computed as follows:
Collect selected centerlines (m,b) for:
the main selected shaft(s),
and all drift centerlines (both directions if present)
For each pair of selected lines, compute intersection x-coordinate:
x* = (b2 - b1) / (m1 - m2)
Only keep intersections within:
Cluster intersections by time proximity (clusterBars)
Mark the strongest clusters (highest counts) as “Ore Pocket” vertical dotted lines with labels.
Interpretation:
A dense cluster indicates many selected rails converge around a similar time coordinate.
It is a “time confluence” hypothesis point.
4) Full settings reference (what each setting is for)
01) Gap Anchors
Gap Mode
FVG (3-candle)
Uses a classic 3-candle fair value gap pattern:
Up gap if low > high
Down gap if high < low
Anchors are derived from the gap boundaries.
Candle Gap (open-close)
Gap based on open vs close of the same bar with a tick threshold.
Candle Gap (open-prev close)
Gap based on open vs close with a tick threshold.
Gap Threshold (ticks)
Only used for the candle gap modes.
Controls the minimum gap size required to register an anchor.
Anchor Price
Boundary: anchors at one gap boundary (more “structural edge”)
Mid: anchors at midpoint of the gap (more “center of displacement”)
Include Pivot Anchors (structure)
When enabled, adds pivots as additional anchors to stabilize macro detection.
Pivot Length
Pivot sensitivity (how many bars left/right define a pivot).
Larger values = fewer, more structural pivots.
02) Channel Fit + Touch Scoring
Lookback Bars
The historical window used to:
filter which anchors are considered “recent enough”
evaluate channel fitness (sampled evaluation)
Larger lookback tends to favor macro shafts, but also increases computational risk (mitigated by evalBars and stride).
ATR Length
ATR period used for tolerance and width penalty scaling.
Tolerance (ATR mult)
Defines how close price must be to a rail to count as “touch” and how strict the “inside channel” containment is.
Higher tolerance = easier to score high on touch/inside.
Min Border Touches (keep rail)
Minimum number of border touches required before a candidate is even eligible.
Score: Inside Weight
Weight of inside count in score.
Score: Border Touch Weight
Weight of border touches in score.
This is a strong driver of “shaft-like” behavior.
Score: Width Penalty (in ATRs)
Penalizes wide channels relative to ATR.
Higher penalty biases toward narrow/local shafts.
03) Performance Controls
Max Stored Anchors (global)
Maximum anchor points kept in memory arrays.
Too low can cause loss of macro structure; too high increases candidate noise.
Max Anchors / Direction (scan)
Hard cap on how many anchors are used in candidate generation per direction.
Critical: this strongly influences whether macro shaft can be found, because if you only keep the most recent anchors, you lose the early-structure anchor points.
Eval Bars (max)
Maximum historical bars actually evaluated for scoring.
Even if lookbackBars is large, evaluation is capped here.
Eval Stride (sample every N bars)
Sampling step for evaluation.
Larger stride = faster but less accurate scoring.
04) Candidate Generation
Min Anchor Spacing (bars)
Minimum distance between the two anchors used to define a candidate line.
Prevents micro-noise lines from being evaluated.
Max Anchor Spacing (bars)
Maximum distance between the two anchors used to define a candidate line.
If this is too low, you cannot generate truly macro candidate lines.
05) Shaft + Drift Display
Main Shaft Mode
Best Overall (Single Shaft): chooses one best rail among Up/Down and draws it as main.
Up Only: show only the best upward rail.
Down Only: show only the best downward rail.
Up + Down: show both main up rail and main down rail simultaneously.
Show Ascending Shaft
Toggles rendering for the “up” main shaft (when mode allows it).
Show Descending Shaft
Toggles rendering for the “down” main shaft (when mode allows it).
Drifts per Direction
Number of additional top-ranked rails to draw per direction (after the best one).
Extend Lines
Right: extend lines to the right only.
Both: extend both left and right.
Fill Main Shaft Channel
Fill between upper and lower borders for main shaft.
Main Shaft Fill Transparency
Transparency level for main fill.
Show Main Shaft Centerline
Draw the dashed centerline for the main shaft.
06) Ore Pocket (Intersection-Time Confluence)
Show Ore Pockets (Time Confluence)
Enables ore pocket discovery and rendering.
Intersection Window Forward (bars)
How far into the future intersections are considered.
Intersection Window Backward (bars)
How far into the past intersections are considered.
Cluster Radius (bars)
How close in time intersections must be to merge into a cluster.
Min Intersections per Cluster
Minimum cluster count required before a pocket is shown.
Max Pocket Markers
Limit how many pocket clusters are drawn.
07) Visual Controls
Show Gap Anchors
Displays the gap anchor dots for debugging.
Show Pivot Anchors
Displays pivot anchor dots for debugging.
5) How to use it (practical workflow)
Step A — Confirm anchor behavior
Turn on Show Gap Anchors.
Choose your Gap Mode.
Verify you are seeing anchors where you expect (displacement boundaries).
If anchors are sparse:
Reduce gap threshold (ticks) for candle-gap modes
Enable pivots to inject structure
Increase lookbackBars and maxAnchors so early anchors are not dropped
Step B — Get stable main shaft candidate discovery
Enable Include Pivot Anchors with a medium pivotLen.
Use Fit (scan widths) initially.
Increase Max Anchors / Direction (scan) so you’re not only using recent anchors.
Increase Max Anchor Spacing so macro pairs are eligible.
If you keep getting only local shafts:
That is usually because the candidate pool does not include enough old anchors, or the maxSpacing prevents long-span lines.
Step C — Tune scoring so the “whole-structure” shaft wins
If the script picks a small local channel instead of the macro channel:
Increase insideWeight relative to touchWeight (macro channels tend to contain longer structure even with fewer perfect “touches”)
Reduce widthPenalty, because macro channels may need to be wider to accommodate historical volatility
Increase lookbackBars and evalBars to make “whole-structure fit” matter
Step D — Drifts as secondary shafts
Once main shaft is good:
Increase Drifts per Direction
Validate that drifts represent meaningful alternate sub-shafts rather than noisy duplicates.
If drifts look too similar:
This is expected if many candidates differ only slightly; future refinements should diversify drift selection (see “what still needs done”).
Step E — Ore pockets interpretation
Ore pockets indicate time confluence of multiple rails.
Use them as:
“Time windows to watch”
Not as deterministic price levels
Tune:
clusterBars (cluster tightness)
minClusterSize (signal strength)
6) What still needs done (explicit backlog)
The macro “main mining shaft channel” spanning the entire market structure, and
Smaller shafts/drifts nested inside the macro structure.
To accomplish that, the current algorithm needs additional architecture. Concretely:
A) True multi-scale / hierarchical discovery (primary missing feature)
Right now: one pass, one lookback, one score objective.
Still Needed:
Macro pass: discover a primary shaft using a very long evaluation window and anchor set.
Micro pass(es): discover drifts/secondary shafts using:
residuals (distance from macro centerline),
or segmented time windows (regime partitions),
or anchor subsets constrained to local regions.
This is the single biggest reason we are not consistently getting the full-structure shaft.
B) Anchor retention strategy for macro detection
Right now:
anchors are FIFO capped and direction scanning uses “recent anchors only.”
To reliably find 10-year shafts we need:
an option to store/retain representative anchors across the entire history, not only the most recent ones.
Examples of necessary improvements:
“Stratified anchor sampling” across time (keep some old anchors even when maxAnchors is hit)
“Macro anchor bank” (separate storage for pivots or major gaps)
C) Candidate generation constraints must support macro lines
If we want a shaft spanning the whole structure:
maxSpacing must allow it
the candidate pool must contain anchors far apart in time
So the algorithm needs:
better selection of anchor pairs for long-span candidates (e.g., include earliest/oldest anchors + newest anchors deliberately, not accidentally)
D) Drift diversification
Right now drifts are “next best by score,” which often yields near-duplicates.
We want:
“diverse” secondary shafts:
enforce minimum angular difference,
enforce minimum offset difference,
or penalize candidates too similar to the already-selected shaft.
E) Width fitting logic for macro channels
Macro channels often require:
either a higher width cap,
or a different penalty profile.
Current width penalty is simple and can bias against macro channels.
Needed:
width penalty that scales by timescale or by total evaluated bars,
or separate macro/micro scoring.
F) Ore pocket semantics enhancement (optional but aligned)
Currently pockets are time intersections only.
If you want “pocket zones,” improvements could include:
projecting intersection price and drawing a zone box,
clustering in (time, price) space instead of only time,
adding “importance” weighting based on which lines intersect (macro line intersections weighted higher).
7) Known limitations (current version)
Heavy compute only runs on last bar (good for performance), but means:
changes in anchors/parameters can reselect rails abruptly
Candidate set is bounded; macro shaft can be missed if not in pool
Drift selection can be redundant
Ore pockets are time clusters, not price clusters
Andra Algo//@version=5
indicator(title="Andra Algo V 1.2", shorttitle="Andra Algo V1.2", overlay=true)
// =====================
// INPUT
// =====================
src = input(defval=close, title="Source")
per = input.int(defval=100, minval=1, title="Sampling Period")
mult = input.float(defval=3.0, minval=0.1, title="Range Multiplier")
// =====================
// COLOR SET
// =====================
buyLineColor = color.white
sellLineColor = color.blue
midColor = #90bff9
buyBgColor = color.new(color.gray, 20)
sellBgColor = color.new(color.blue, 20)
// =====================
// SMOOTH RANGE
// =====================
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
ta.ema(avrng, wper) * m
smrng = smoothrng(src, per, mult)
// =====================
// RANGE FILTER
// =====================
rngfilt(x, r) =>
rf = x
rf := x > nz(rf ) ?
(x - r < nz(rf ) ? nz(rf ) : x - r) :
(x + r > nz(rf ) ? nz(rf ) : x + r)
rf
filt = rngfilt(src, smrng)
// =====================
// TREND DIRECTION
// =====================
upward = 0.0
upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward )
downward = 0.0
downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward )
// =====================
// MID LINE COLOR
// =====================
filtColor = upward > 0 ? buyLineColor : downward > 0 ? sellLineColor : midColor
plot(filt, title="Mid Line", color=filtColor, linewidth=2)
// =====================
// BUY & SELL CONDITIONS
// =====================
longCond = src > filt and upward > 0
shortCond = src < filt and downward > 0
CondIni = 0
CondIni := longCond ? 1 : shortCond ? -1 : CondIni
longCondition = longCond and CondIni == -1
shortCondition = shortCond and CondIni == 1
// =====================
// SIGNALS (FIXED BG COLOR)
// =====================
plotshape(longCondition, title="Buy Signal", text="BUY", style=shape.labelup, location=location.belowbar, size=size.small, textcolor=color.white, color=buyBgColor)
plotshape(shortCondition, title="Sell Signal", text="SELL", style=shape.labeldown, location=location.abovebar, size=size.small, textcolor=color.white, color=sellBgColor)
// =====================
// ALERTS
// =====================
alertcondition(longCondition, title="Buy Alert", message="Andra Algo V1.2 BUY")
alertcondition(shortCondition, title="Sell Alert", message="Andra Algo V1.2 SELL")
Teril ema 20 second candle logicHA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
Swing Trader's DCR/WCRHere is the description formatted with simple tags, ready to copy and paste into your TradingView script description or personal notes.
Swing Trader's DCR/WCR Dashboard
This script creates a real-time dashboard on your chart to measure the Closing Range —a critical metric for verifying breakouts and momentum. It answers the question: "Who won the battle today, the bulls or the bears?"
The Logic
The script calculates the position of the Close relative to the High/Low range:
0%: Closed at the absolute low (Max Bearish)
50%: Closed in the middle (Neutral/Indecision)
100%: Closed at the absolute high (Max Bullish)
How to Read the Signals
The dashboard uses a high-contrast "Dark Mode" theme for instant readability:
STRONG (Dark Green): The stock is closing in the Top 25% of its range. This is your primary confirmation for breakouts. It signals that institutions are buying into the close.
WEAK (Dark Red): The stock is closing in the Bottom 25% of its range. This is a warning sign. If a stock breaks out but closes "WEAK," it is likely a failed breakout (or "Squat").
Trading Strategy Use Cases
Breakout Confirmation: Only trust breakouts that show a "STRONG" DCR signal.
Multi-Timeframe Check: Ensure both DCR (Day) and WCR (Week) are Green to confirm the trend is aligned on multiple timeframes.
End-of-Day Execution: Use this in the last 15 minutes of the session to filter out noise and enter trades with the highest conviction.
bezgincan_WPNR Momentum & Volatility Nexus 256 [v6]WPNR Nexus 256: Multi-Factor Macro Cycle Oscillator
Overview
The WPNR Nexus 256 is a high-performance hybrid oscillator designed for macro-trend analysis. It integrates a custom Weighted Percentile Nearest Rank (WPNR) algorithm with Momentum (RSI) and Volatility filters. By utilizing a 256-period lookback—often associated with a full trading year of data—it filters out market noise and identifies significant cyclical shifts in price action.
The Methodology
Unlike standard Percentile Rank indicators that treat all historical data points equally, the WPNR Nexus applies a logarithmic decay weight. This means recent price ranks have a higher impact on the current value than older ones, effectively reducing the inherent "lag" found in long-period oscillators.
Weighted Percentile (WPNR): Ranks the current close against the last 256 bars using a distance-weighted approach.
Momentum Fusion: Merges the WPNR value with RSI to ensure that price strength confirms the statistical ranking.
Volatility Awareness: Incorporates ATR-based normalization to distinguish between "trending volatility" and "range-bound noise."
Key Features
V6 Optimized: Written in the latest Pine Script™ v6 for maximum calculation efficiency and lower chart latency.
Macro Perspective: Designed specifically for 256-period analysis to capture institutional-grade market cycles.
Visual Intelligence: The indicator features a dynamic "Aura" effect. The color transitions between Vibrant Red (Overbought), Emerald Green (Oversold), and Neutral Gray based on momentum saturation.
Signal Precision: Includes built-in Triangle labels for Overbought/Oversold crossovers, helping to identify potential exhaustion points.
How to Read the Chart
The 50 Level: Acts as the "Equilibrium Line." Values sustaining above 50 indicate a dominant Bullish Macro Cycle, while values below 50 indicate a Bearish Macro Cycle.
Exhaustion Zones (80/20): When the line enters the dotted boundary areas and changes color, it signals that the current trend is reaching a statistical extreme.
Cross Signals: Look for the "Triangle" shapes. A green triangle rising from the 20 level suggests a high-probability cyclical bottom.
Settings
WPNR Period: Defaulted to 256 for macro analysis. Can be lowered for day-trading.
Weight Factor: Adjusts how aggressively the script favors recent data over older data.
Smoothing: A 5-period EMA filter to provide a clean, tradable signal line.
DCR/WCR Indicator with SPY Relative StrengthOverview
This indicator displays Daily Close Range (DCR) and Weekly Close Range (WCR) metrics to help traders identify momentum, buying/selling pressure, and relative strength compared to the S&P 500 (SPY). The data is presented in a clean, color-coded table that can be positioned anywhere on your chart.
What This Indicator Measures
Daily Close Range (DCR)
Formula: (Close - Low) / (High - Low) × 100
Purpose: Shows where the current candle closed within its daily range as a percentage (0-100%)
Interpretation:
90-100% (Strong Buy): Price closed near the daily high, indicating strong buying pressure and bullish momentum
70-90% (Bullish): Price closed in the upper portion of the range, suggesting buyers are in control
30-70% (Neutral): Price closed near the middle, indicating consolidation or indecision
10-30% (Bearish): Price closed in the lower portion, suggesting sellers are gaining control
0-10% (Strong Sell): Price closed near the daily low, indicating strong selling pressure and bearish momentum
Weekly Close Range (WCR)
Formula: (Weekly Close - Weekly Low) / (Weekly High - Weekly Low) × 100
Purpose: Analyzes where the stock finished the week relative to the weekly high and low
Interpretation:
≥60% (Accumulation): Closing in the top 40% of the weekly range suggests institutional buying and strong support. This often indicates smart money is entering positions
40-60% (Neutral): Middle of the range shows indecision with neither buyers nor sellers in clear control
≤40% (Distribution): Closing in the bottom 60% suggests selling pressure and potential institutional distribution
SPY Relative Strength Comparison
The indicator calculates the difference between your stock's DCR/WCR and SPY's DCR/WCR to determine relative strength:
Much Stronger (+20% or more): Your stock is significantly outperforming the market - exceptional relative strength
Stronger (+10% to +20%): Your stock is outperforming the market
Similar (-10% to +10%): Your stock is moving in line with the broader market
Weaker (-10% to -20%): Your stock is underperforming the market
Much Weaker (-20% or less): Your stock is significantly underperforming - consider this a warning sign
Trading Use Cases
Confirming Breakouts
High DCR (>70%) during a breakout confirms strong buying interest
High WCR (>60%) suggests institutional support for the move
If both are strong while SPY is weak, you've identified exceptional relative strength
Identifying Reversals
Extremely low DCR (<10%) after a downtrend may signal capitulation
Rising DCR while WCR remains strong suggests a bounce is sustainable
Divergence between DCR and SPY can highlight emerging leadership
Volume Confirmation
High WCR (>60%) with strong volume = institutional accumulation (bullish)
Low WCR (<40%) with high volume = institutional distribution (bearish)
Use in conjunction with volume analysis for best results
Market Context
Compare your stock's metrics to SPY to understand if momentum is stock-specific or market-wide
Stocks showing strength while SPY is weak often become market leaders
Stocks showing weakness while SPY is strong should be avoided or exited
Customization Options
Table Position: Choose from 9 positions to place the table anywhere on your chart (top/middle/bottom × left/center/right)
SPY Comparison Toggle: Enable or disable the SPY relative strength comparison rows
Best Practices
Use Multiple Timeframes: DCR gives you intraday momentum, WCR provides the weekly trend
Combine with Volume: High WCR with strong volume is particularly bullish
Monitor Divergences: When DCR and WCR diverge, it may signal a change in trend
Relative Strength Matters: Focus on stocks showing strength vs SPY for better risk/reward
Context is Key: A high DCR in a downtrend may just be a bounce; always consider the bigger picture
Color Coding
The indicator uses intuitive color coding:
Green: Bullish signals (high DCR/WCR, outperformance vs SPY)
Yellow: Neutral signals (middle range, similar to SPY)
Red: Bearish signals (low DCR/WCR, underperformance vs SPY)
Note: This indicator works on all timeframes and asset types. It's particularly useful for swing traders and investors looking to identify momentum and institutional activity. Always use in conjunction with other technical analysis tools and proper risk management.
B-Xtrender MTFA @XL-DurexOriginally Created by @puppytherapy and found at this link: B-Xtrender by Quant Therapy
This version removes everything apart from the histograms and adds multi time frame analysis.
Defaults are 1D, 1W, 1M.
Volatility & Probability by Hour/DayVolatility & Probability by Hour/Day
Analyzes historical candle data to find statistically significant time-based patterns. Tracks green candle probability, volatility, and average returns broken down by hour (UTC), day of week, and their combinations.
What It Shows:
Hourly Table: P(Green), edge, volatility, and average return for each hour (00:00-23:00 UTC)
Day of Week Table: Same metrics aggregated by day (Sun-Sat)
Top Combinations: The 5 best bullish and 5 best bearish day+hour slots ranked by edge
Key Metrics:
P(Grn): Historical probability the candle closes green
Edge: Deviation from 50% (how tradeable the bias is)
Vol%: Average candle range as percentage of price
N: Sample size
Use Cases:
Identify optimal entry windows with statistical edge
Avoid low-edge, high-volatility periods (noise)
Find specific day+hour combinations with compounding edges
Time trades around recurring market patterns
Notes:
All times in UTC
Current period highlighted with ►
Best results on liquid assets with sufficient history
Edges are historical and not guaranteed to persist
Trend Strength + SSL Channel TableThis strategy is a time-in-trend awareness and exhaustion framework rather than a directional signal by itself. It uses a Hull Moving Average–based trend definition to continuously identify whether the market is in a bullish or bearish phase, then measures how long that trend typically lasts by averaging the durations of recent historical trends in the same direction. As a new trend unfolds, the system tracks how many bars have already closed and compares that progress against the trend’s historical “probable length.” The result is a live, adaptive estimate of where the current move sits within its natural life cycle, independent of price targets or indicators like RSI or MACD.
Renko TimekeeperRenko charts delete time. This tool puts it back.The Renko Timekeeper prints a number next to every brick telling you exactly how many minutes that specific brick took to form.This converts a "Static Chart" into a "Velocity Chart." It allows you to spot Momentum Decay before the price actually reverses.1. The Visual GuideThe indicator prints a single number (e.g., 4.2) above or below every brick.Text ColorValue RangeEngineering StateInterpretationGREEN< 5.0High VelocityThe "Turbo" is on. Buyers/Sellers are aggressive. HOLD or ADD to the trade.GRAY5.0 – 15.0Normal CruiseThe trend is stable. Standard market breathing. HOLD.RED> 15.0STALL (Warning)The engine has died. The market is struggling to push price. EXIT immediately.
Nifty By PaisaPani It is a trading system.
• Separate indicator designed specifically for BankNifty
• Intended for the mentioned timeframe only
• Focused on execution clarity, not predictions
🔒 Full access is limited.
⚠ Disclaimer:
For educational and demonstration purposes only.
Trading involves risk.
No profit guarantees are implied.
EMA Multi Cross + SR Breaks & RetestsDescription
The EMA Multi Cross with Support & Resistance Break & Retest indicator combines trend-following moving averages with dynamic support and resistance zone detection to help traders identify trend direction, momentum shifts, and key price reaction areas in real time.
The indicator plots multiple Exponential Moving Averages (EMAs) to provide a clear view of short-, medium-, and long-term trends while automatically detecting high-volume support and resistance zones. It also highlights when these zones break or successfully hold, helping traders spot potential continuation or reversal opportunities.
Key Features
Multi-EMA Trend System
The indicator displays EMA 9, 13, 15, 21, 50, and 200 to help traders quickly assess trend structure and market momentum.
EMA Crossover Alerts
Alerts can be triggered when important EMA crossovers occur, helping traders capture momentum shifts and potential entries.
Cross alerts included:
EMA 9 crossing EMA 15
EMA 9 crossing EMA 21
EMA 13 crossing EMA 50
EMA 21 crossing EMA 200
Both bullish and bearish signals are supported.
Dynamic Support & Resistance Zones
The script automatically detects potential support and resistance areas based on price pivots and volume activity, plotting them as zones directly on the chart.
Stronger zones appear darker, helping traders quickly identify important reaction areas.
Break & Retest Detection
When price breaks a support or resistance zone, the zone changes appearance to visually confirm the breakout. If price returns and holds the level, the zone adjusts back, signaling a possible continuation.
This helps traders identify:
Breakouts
Failed breakouts
Retests
Trend continuation setups
Customizable Display
Users can enable or disable support & resistance detection and adjust detection sensitivity according to their trading style.
Typical Use Cases
• Trend-following entries using EMA alignment
• Breakout trading
• Retest confirmation entries
• Scalping and intraday setups
• Swing trading trend confirmation
TRADING BITE Supply Demand Marker V2.1This Indicator Automatically identifies key supply and demand candles and highlights potential reversal zones. Integrated volume analysis validates market moves, helping traders make more informed entry and exit decisions. Perfect for spotting high-probability trades and understanding market structure at a glance.
Features:
Highlights Supply & Demand zones automatically
Marks key reversal candles
Volume-based validation for stronger signals
Easy-to-read visual alerts for trading decisions
Disclaimer / No Liability Notice:
This indicator is provided for educational and informational purposes only. It does not guarantee profits or predict future market movements. Trading financial instruments involves substantial risk of loss, and you should only trade with money you can afford to lose.
By using this indicator, you acknowledge that you assume full responsibility for any trading decisions made based on its signals. The developer accepts no liability for any losses, damages, or financial consequences that may result from using this tool.
Always perform your own analysis and consider consulting a licensed financial advisor before making trading decisions. Past performance is not indicative of future results.
Mutanabby_AI | 5 TP + SL + Breakeven (Fill-based)This is a strategy where all market fluctuations occur.
HeikenAshi Trend Lite [SolQuant]The HeikenAshi Trend Lite indicator displays double-smoothed Heikin-Ashi candles on the current timeframe as a trend overlay. By applying two passes of EMA smoothing to Heikin-Ashi calculations, it filters out market noise to reveal clean trend direction.
This is the free version of HeikenAshi Trend , providing the core double-smoothed HA trend visualization on a single timeframe without the multi-timeframe overlays available in the full version.
█ USAGE
Reading the Trend
The indicator draws a filled ribbon representing the smoothed Heikin-Ashi body. When the smoothed HA close is above the smoothed HA open, the ribbon is bullish. When below, it is bearish. The body uses a semi-transparent fill, while the wick range is drawn with a lighter shade, creating a layered visual.
Color changes represent confirmed trend shifts after double smoothing has absorbed enough price data. This filtering eliminates most false signals from choppy conditions.
█ DETAILS
The calculation follows three steps:
1 — EMA smoothing of raw OHLC values
2 — Heikin-Ashi transformation of the smoothed values
3 — Second EMA pass on the resulting HA values
This double-smoothing approach reduces noise effectively while maintaining less lag than equivalent single-pass smoothing with very long periods.
█ SETTINGS
• EMA Length: Period for the first EMA smoothing pass (default: 10).
• Smoothing Length: Period for the second EMA pass (default: 10).
• Bullish / Bearish Color: Customizable trend colors.
• Show Candles: Display traditional HA candle bodies alongside the ribbon.
This indicator uses synthetic Heikin-Ashi values that do not represent actual traded prices. It does not constitute financial advice. Past performance does not guarantee future results.
PDH(RTH)+PMH / PDL(RTH)+PML First Break + 3m EMA Retest + TPshows pre market levels, previous day levels, includes the 3min 9ema for the retest and a take profit indicator.
Strong Daily S/R Levels (Refreshes Daily)Multi-Timeframe Strong S/R + Swings (Daily/Weekly/Monthly)
Automatic, non-repainting support & resistance levels from multiple timeframes + recent swing points — perfect for day trading, swing trading, and futures (ES, NQ, MES, MNQ, GC, MGC, etc.).
Features:
• Previous Day High/Low (PDH/PDL) + classic daily pivots (PP, R1–R3, S1–S3)
• Previous Week High/Low (PWH/PWL) + weekly pivots
• Previous Month High/Low (PMH/PML) + monthly pivots
• Recent confirmed swing highs/lows (adjustable lookback) with numbered labels
• Clean right-side labels for quick reference
• Toggle any group on/off to reduce clutter
• Works on any ticker and any timeframe (intraday to daily+)
Levels update automatically at the start of each new day/week/month — no repainting, stable once the higher timeframe bar closes.
Great for:
• Identifying strong institutional magnets (PDH/PDL, monthly extremes)
• Spotting breakout/mean-reversion zones (pivots)
• Trading structure breaks/retests (swings)
Use it on futures, stocks, forex, crypto — wherever clean, reliable S/R matters.
INVESTIFY Free Intraday Indicator📌 INVESTIFY Free Intraday Indicator – Description
INVESTIFY Free Intraday Indicator is designed to help traders identify clear market direction and avoid overtrading.
This indicator focuses on trend-based confirmation, not random signals.
It provides limited and high-quality BUY / SELL signals — only when the market shows a clear directional move.
🔍 What this indicator does:
Identifies Bullish & Bearish market bias
Gives only one BUY or SELL per trend
Avoids signal spamming in sideways markets
Helps traders stay disciplined and patient
🎯 Best use case:
Intraday trading
Directional confirmation
Trend-following traders
Beginners who want clean structure
Works on all markets (Forex, Indices, Crypto, Commodities)
⚠️ Important Notes:
This is a FREE version for learning and confirmation
No targets or stop-loss are shown
Best used along with price action & discipline
Avoid overtrading — quality over quantity
Trade the direction, not the noise.
🔐 Want more precision?
The paid INVESTIFY Pro version includes:
Advanced entries
SL & risk structure
Session filtering
Re-entry logic
Smart money confirmations
📩 DM to get access
ORION: Linear Regression Consolidation SystemDescription:
This script is a custom-built technical analysis tool designed to identify high-probability consolidation zones (market equilibrium) and trade their subsequent breakouts in the direction of the established trend.
originality & Concept: While many indicators use simple Bollinger Band squeezes, this system employs a multi-factor algorithm to define "Consolidation" mathematically. It synthesizes three core concepts:
Volatility Compression (ATR): It compares the current range against the Average True Range (ATR) to ensure price action is compressed.
Structural Stationarity (Linear Regression): It calculates the slope of the Linear Regression line over a lookback period. A zone is valid ONLY if the slope is near-zero (< 0.25), ensuring the market is truly flat and not just choppy.
Trend Alignment (EMA): To filter out low-probability counter-trend signals, the system utilizes a 150-period Exponential Moving Average (EMA) as a baseline. Breakouts are only valid if they align with the macro trend (Above EMA = Long, Below EMA = Short).
How It Works:
Zone Detection: The script draws a visual box when the price range is within the ATR multiplier limit AND the Linear Regression slope is flat.
Signal Validation: A signal is triggered only on a confirmed candle close outside the box.
False Breakout Protection: A volume/body size filter checks if the breakout candle has significant momentum compared to the average of the last 20 bars.
Risk Management : The script projects a fixed Risk:Reward setup (default 1:1.8) and includes a "Breakeven" logic that visualizes when a trade has reached 50% of its target, securing the position.
Settings:
This system is highly customizable to fit different market conditions. Below are the specific parameters used in this setup:
1. Strategy Core (Logic)
Lookback Period (15): The algorithm analyzes the most recent 15 candles to detect market equilibrium. On the M5 timeframe, this represents a 75-minute window of stability, which is optimal for scalping setups.
Box Width (ATR Multiplier) (3) : Defines the maximum vertical range of the consolidation box. A value of 3 means the box height cannot exceed 3x the Average True Range (ATR). This ensures we are trading tight, compressed zones rather than volatile, expansive ranges.
Slope Tolerance (0.4): Controls the strictness of the Linear Regression slope. A value of 0.4 allows for a slight tilt in the consolidation structure, capturing more valid opportunities than a strictly horizontal (0.0) setting without compromising the "flatness" requirement.
2. Risk Management
Risk : Reward Ratio (1.8): Sets the profit target relative to the stop loss. For every $1 risked, the system targets $1.8 in profit. This provides a positive mathematical expectancy even with a moderate win rate.
Breakeven Trigger (%) (0.5): A capital preservation feature. When the price covers 50% (0.5) of the distance to the Take Profit target, the trade is visually marked as "Breakeven" (Risk-Free). If the price reverses after this point, it is not counted as a loss.
3. Protection & Filters (Insurance)
Enable 'Strong Candle' Filter (ON): Filters out weak "creeping" breakouts. The system will only trigger a signal if the breakout candle demonstrates significant momentum.
Average Size Period (20): The baseline for momentum is calculated using the average body size of the last 20 candles.
Candle Strength Factor (1): The breakout candle must be at least 1x (100%) the size of the average candle. This ensures that real volume and momentum are backing the move, reducing the chance of fakeouts.
Disclaimer: This script is intended for educational and analytical purposes to assist traders in identifying market structure.
BOS, CHoCH and CISD [theEccentricTrader]█ OVERVIEW
This open-source indicator plots Break of Structure (BOS), Change of Character (CHoCH) and Change in State of Delivery (CISD) events directly on the chart and provides optional alerts for each condition.
All conditions are built around my primitive swing logic and are confirmed at candle close to avoid repainting.
The script is designed as a research tool, not a trading strategy. It does not generate entries, exits, targets or risk management rules. Its purpose is to make objectively defined market structure events visible, reproducible and testable across markets and timeframes.
█ CONCEPTS
Green and Red Candles
A green candle is defined as a candle that closes at or above its open.
A red candle is defined as a candle that closes below its open.
Swing Highs and Swing Lows
A swing high is defined as a green candle, or a series of consecutive green candles, followed by a single red candle that completes the swing and forms the peak.
A swing low is defined as a red candle, or a series of consecutive red candles, followed by a single green candle that completes the swing and forms the trough.
Peak and Trough Prices
The peak price of a complete swing high is either the high of the red candle that completes the swing or the high of the preceding green candle, depending on which is higher.
The trough price of a complete swing low is either the low of the green candle that completes the swing or the low of the preceding red candle, depending on which is lower.
Basic Uptrends and Downtrends
Basic uptrends, henceforth referred to as uptrends, are formed when the most recent trough is higher than the preceding trough.
Basic downtrends, henceforth referred to as downtrends, are formed when the most recent peak is lower than the preceding peak.
Break of Structure (BOS)
A BOS occurs when price continues in the direction of the prevailing trend by breaking beyond the most recent peak or trough price. BOS implies trend continuation through structural expansion.
BOS Up occurs during an uptrend when price closes above the most recent peak.
BOS Down occurs during a downtrend when price closes below the most recent trough.
Change of Character (CHoCH)
A CHoCH occurs during an uptrend or downtrend when price breaks the most recent peak or trough price in the opposite direction to the prevailing trend, without fully reversing the higher-level trend structure. CHoCH implies early structural weakness or internal rotation rather than confirmed trend reversal.
CHoCH Up occurs during a downtrend when price closes above the most recent peak but remains below the preceding peak.
CHoCH Down occurs during an uptrend when price closes below the most recent trough but remains above the preceding trough.
Change in State of Delivery (CISD)
A CISD occurs when price breaks the most recent peak or trough price. CISD isolates pure structural displacement, independent of trend classification.
CISD Up occurs when price closes above the most recent peak without regard for trend state.
CISD Down occurs when price closes below the most recent trough without regard for trend state.
█ VISUAL OUTPUTS
Labels
Labels are plotted at the candle where each condition is confirmed.
Users can change the label colours and sizes via indicator Settings/Inputs/LABELS.
Event Lines
Horizontal dashed lines mark the peak or trough that was broken.
Trend Lines
Trend lines are drawn to contextualise trend direction for appropriate structural events.
█ ALERTS
Optional alerts are provided for all conditions. By default, all alerts are set to false.
Users can apply alerts via Indicator Settings/Inputs/ALERTS.
CODY BOT REVERSALFree Telegram Trading Community t.me
What Is CODY BOT?
CODY BOT is an easy-to-use trading tool that spots potential price reversals on your chart. It shows arrows when it detects certain candlestick patterns that often happen before the market changes direction.
How It Works
Green "Buy" Arrow Appears When:
Current candle closes higher than yesterday's open
Yesterday's candle closed lower than its own open
This pattern often signals a possible upward move coming
Red "Sell" Arrow Appears When:
Current candle closes lower than yesterday's open
Yesterday's candle closed higher than its own open
This pattern often signals a possible downward move coming
What You'll See on Your Chart
Green up arrows below candles (buy signals)
Red down arrows above candles (sell signals)
You'll also get alerts if you set them up
Best Ways to Use It
Good For:
Day trading (5-minute to 1-hour charts)
Swing trading (4-hour to daily charts)
All markets: stocks, forex, crypto
Spotting quick trend changes
Tips for Better Results:
Wait for the candle to close before trading
Use with support/resistance lines for confirmation
Add volume to check if others are trading too
Start with paper trading to practice
Always use stop-loss to protect yourself
What Makes It Special
No lag - signals appear immediately
Easy to understand - just follow the arrows
Works on any timeframe
Free to use
No complicated settings
Quick Start Guide
Add CODY BOT to your TradingView chart
Watch for green/red arrows at candle close
Click the alert bell if you want notifications
Test with fake money first
Combine with what you already know about trading
Remember: No indicator is perfect. Use CODY BOT as one tool in your toolbox, not the only tool. Always manage your risk and never trade more than you can afford to lose.
Perfect for: Traders who like simple, clear signals without complicated math.
