MAX TRADE ZONA)A simple session level indicator for XAUUSD on the M5 timeframe. It takes the high and low of the 00:45 candle (Asia/Tashkent time), draws infinite horizontal lines from that candle, and keeps only the most recent 7 days. Useful for intraday support and resistance levels.
사이클
Kịch bản của tôi//@version=6
indicator(title="Relative Strength Index", shorttitle="Gấu Trọc RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiPlot = plot(rsi, "RSI", color=#7E57C2)
rsiUpperBand1 = hline(98, "RSI Upper Band1", color=#787B86)
rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86)
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86)
rsiLowerBand2 = hline(14, "RSI Lower Band2", color=#787B86)
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color = na, editable = false, display = display.none)
fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill")
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window)
var isBB = maTypeInput == "SMA + Bollinger Bands"
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None")
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB)
var enableMA = maTypeInput != "None"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na
plot(smoothingMA, "RSI-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
// Divergence
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
// Price: Lower Low
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
//------------------------------------------------------------------------------
// Regular Bearish
// rsi: Lower High
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
// Price: Higher High
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish",
linewidth = 2,
color = (bullCond ? bullColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bullCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish Label",
text = " Bull ",
style = shape.labelup,
location = location.absolute,
color = bullColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
plot(
phFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish",
linewidth = 2,
color = (bearCond ? bearColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bearCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish Label",
text = " Bear ",
style = shape.labeldown,
location = location.absolute,
color = bearColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
FPT - DCA ModelFPT - DCA Model is a simple but powerful tool to backtest a weekly “buy the dip” DCA plan with dynamic position sizing and partial profit-taking.
🔹 Core Idea
- Invest a fixed amount every week (on Friday closes)
- Buy more aggressively when price trades at a discount from its 52-week high
- Take partial profits when price stretches too far above the daily EMA50
- Track the performance of your DCA plan vs a simple buy-and-hold from the same start date
⚙ How it works
1. Weekly DCA (on Daily timeframe)
- On each Friday after the Start Date:
- Add the “Weekly contribution” to the cash pool.
- If the close is below the “Discount from 52W high” level:
→ FULL DCA: use the full weekly contribution + an extra booster from your stash (up to “Max extra stash used on dip”).
→ Marked on the chart with a small green triangle under the bar.
- Otherwise:
→ HALF DCA: invest only 50% of the weekly contribution and keep the other 50% as stash (uninvested cash).
→ Marked with a small blue triangle under the bar.
2. 52-Week High Discount Logic
- The script computes the 52-week high as the highest daily high of the last 252 trading days.
- The “discount level” is: 52W high × (1 – Discount%).
- When price is at or below this level, dips are treated as buying opportunities and the model allocates more.
3. Selling Logic (Partial Take Profit)
- When the close is above the daily EMA50 by the selected percentage:
→ Sell the given “Sell portion of qty (%)” of your current holdings.
→ Marked with a small red triangle above the bar.
- This behaves like a gradual profit-taking system: if price stays extended above EMA50, multiple partial sells can occur over time.
📊 Panel (top-right)
The panel summarizes the state of your DCA plan:
- Weeks: number of DCA weeks since Start Date
- Total deposit: total money contributed (sum of all weekly contributions)
- Shares qty: total number of shares accumulated
- Avg price: volume-weighted average entry price
- Shares value: current market value of all shares (qty × close)
- Cash: uninvested cash (including saved stash)
- Total equity: Shares value + Cash
- DCA % PnL: performance of the DCA plan vs total deposits
- Stock % since start: performance of the underlying asset since the Start Date
✅ Recommended Use
- Timeframe: Daily (the DCA engine is designed to run on daily bars and Friday closes).
- Works best on stocks, ETFs or indices where a 52-week high is a meaningful reference.
- You can tune:
- Weekly contribution
- Discount from 52W high
- Booster amount
- EMA50 extension threshold and sell portion
⚠ Notes & Disclaimer
- This script is a backtesting and educational tool. It does not place real orders.
- Past performance does not guarantee future results.
- Always combine DCA and risk management with your own research and judgment.
Built by FPT (Funded Pips Trading) for long-term, rules-based DCA planning.
📊 Volume Tension & Net Imbalance📊 Volume Tension & Net Imbalance (With Table + MultiLang + Alerts)
//
This indicator measures bullish vs. bearish pressure using volume-based tension and net imbalance.
It identifies accumulation zones, displays real-time market strength, trend direction, and triggers alerts on buildup entries.
Fully customizable table size, colors, and bilingual support (English/Russian).
PyTai Top/Bottom Finder v0.1When the average StochRSI line rises high (near or above 80), it often signals the asset's price is approaching the peak or end of an uptrend, as momentum becomes overextended across multiple timeframes—aligning with your view on run endings. Conversely, a low average (near or below 20) suggests exhaustion in a downtrend, hinting at potential bottoms. The cluster columns amplify this: wide green bars (high positive netScore) show broad oversold agreement for bullish reversals, while red bars indicate overbought consensus for bearish turns. However, StochRSI can remain extreme in strong trends, so combine with price action or volume to avoid false signals; backtest on your assets to refine thresholds, as shorter smoothing (e.g., 1-3) increases sensitivity but noise.
Trend Follow Line Point📌 Trend Follow Line Point
The Trend Follow Line Point indicator removes the confusing, repainting-based swing connections commonly found in traditional swing tools.
It maintains consistent swing-point calculation, keeps structural swing lines intact even when trend lines are broken, and integrates market structure + trend + volatility + volume into one intuitive, visual indicator.
This tool is designed for:
Trend Following
Swing Structure Analysis
Volatility-Based Entry & Exit
Market Strength Evaluation
📊 Component Explanation
🔹 1. Swing High / Swing Low Detection
Based on the user-defined sensitivity (swgLen):
A Swing High forms when the current high exceeds the previous swgLen highs.
A Swing Low forms when the current low falls below the previous swgLen lows.
🔹 2. Swing-Based Structure Lines
Connect Swing Highs → Structural visualization
Connect Swing Lows → Structural visualization
These lines reveal the underlying market structure without repainting or disappearing unexpectedly.
🔹 3. Dynamic ATR + Volume Weighting
ATR values combined with the volume ratio (vol / volMA) create a dynamic volatility channel that reflects real-time market pressure.
🔹 4. Enhanced SuperTrend Calculation
Uses ATR-based stability to produce more realistic and smoother trend lines, reducing noise and improving signal clarity.
🔹 5. Trend Color Mapping
Up Trend → User-selected color
Down Trend → User-selected color
Visual trend direction and strength can be identified immediately.
🧭 How to Use
When Swing Highs/Lows are detected, structure lines are automatically drawn between previous swings.
Use these lines to evaluate support/resistance breaks and overall structural direction.
Manage risk with volatility guidance:
Higher ATR (volume-weighted) → wider trend spacing → increased risk
Lower ATR → tighter spacing → reduced risk
This helps with position sizing, entry timing, and exit decisions.
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Santo Graal RápidoSanto Graal Lento — Indicator Description (English)
Santo Graal Lento is a trend-following indicator designed to identify high-probability market movements by combining price structure, volatility behavior, and dynamic support/resistance zones. Instead of reacting quickly to short-term noise, this tool focuses on slower, more reliable signals, helping traders stay aligned with the dominant trend while avoiding premature entries.
The indicator highlights optimal “Holy Grail–style” setups by detecting pullbacks within strong trends, offering visual cues for potential continuation points. It also adapts to market conditions by smoothing signals and reducing false alerts, making it suitable for swing traders and position traders looking for cleaner, more consistent market reads.
Use Santo Graal Lento to:
Identify trend direction with improved stability
Spot high-probability pullback entries
Filter out short-term noise
Support decision-making in trending markets
Whether you’re trading Forex, crypto, indices, or stocks, Santo Graal Lento helps you focus on quality setups and maintain discipline through clearer trend visualization.
Santo Graal LentoSanto Graal Lento — Indicator Description (English)
Santo Graal Lento is a trend-following indicator designed to identify high-probability market movements by combining price structure, volatility behavior, and dynamic support/resistance zones. Instead of reacting quickly to short-term noise, this tool focuses on slower, more reliable signals, helping traders stay aligned with the dominant trend while avoiding premature entries.
The indicator highlights optimal “Holy Grail–style” setups by detecting pullbacks within strong trends, offering visual cues for potential continuation points. It also adapts to market conditions by smoothing signals and reducing false alerts, making it suitable for swing traders and position traders looking for cleaner, more consistent market reads.
Use Santo Graal Lento to:
Identify trend direction with improved stability
Spot high-probability pullback entries
Filter out short-term noise
Support decision-making in trending markets
Whether you’re trading Forex, crypto, indices, or stocks, Santo Graal Lento helps you focus on quality setups and maintain discipline through clearer trend visualization.
Santo Graal Tendência🌟 Holy Grail Trend – Clarity in the Flow of the Market
Introducing Holy Grail Trend, a smart trend-following indicator designed for traders who want to ride strong moves while avoiding noise and false breakouts. By blending adaptive cycle analysis, smoothed momentum, and dynamic support/resistance logic, this tool highlights the true underlying trend—not just price noise.
Whether you're a swing trader, position trader, or intraday momentum seeker, Holy Grail Trend helps you stay aligned with the market’s dominant direction while filtering out choppy, sideways phases.
🔍 Key Features:
✅ Clean, color-coded trend visualization (bullish / bearish)
✅ Adaptive sensitivity based on current market cycle length
✅ Dynamic trend bands that adjust to volatility and price structure
✅ Minimal lag and no repainting — reliable in real-time
✅ Works across all assets and timeframes (forex, stocks, crypto, indices)
✅ Lightweight and chart-friendly
💡 How to Use:
Go long when the trend turns green and price is above the dynamic band
Go short when the trend turns red and price is below the band
Stay flat or reduce exposure during neutral (gray) or conflicting phases
The “Holy Grail” isn’t about chasing every move—it’s about trading with the tide, not against it. Combine this indicator with your risk management rules, and you’ll have a powerful ally in your trading journey.
Santo Graal SinaisHoly Grail Signals – The Balance Between Precision and Simplicity
Welcome to Holy Grail Signals, an indicator crafted for traders seeking clarity amid market volatility. Inspired by principles of cyclic analysis, adaptive relative strength, and intelligent noise filtering, this script merges robust logic with intuitive visualization to deliver highly reliable entry and exit signals.
🔍 Key Features:
✅ Clear visual signals (buy and sell) based on cycle inflection points and momentum
✅ Dynamic bands that adapt to volatility and recent price behavior
✅ Anti-noise filters that reduce false triggers in ranging markets
✅ Compatible with multiple assets and timeframes — from scalping to swing trading
✅ Lightweight and optimized to avoid overloading your chart
The “Holy Grail” isn’t a promise of easy profits—it’s the result of rigorous testing, sound market logic, and the understanding that the best strategy is the one you truly comprehend and can execute with discipline.
Santo Graal Força RelativaThe RSI Indicator (RSI) represents a qualitative leap in the evolution of classic oscillators. While the traditional RSI has already been established for decades as one of the most reliable tools...
LJ Parsons Adjustable expanding MRT Fibpapers.ssrn.com
Market Resonance Theory (MRT) reinterprets financial markets as structured multiplicative, recursive systems rather than linear, dollar-based constructs. By mapping price growth as a logarithmic lattice of intervals, MRT identifies the deep structural cycles underlying long-term market behaviour. The model draws inspiration from the proportional relationships found in musical resonance, specifically the equal temperament system, revealing that markets expand through recurring octaves of compounded growth. This framework reframes volatility, not as noise, but as part of a larger self-organising structure.
VB Finviz-style MTF Screener📊 VB Multi-Timeframe Stock Screener (Daily + 4H + 1H)
A structured, high-signal stock screener that blends Daily fundamentals, 4H trend confirmation, and 1H entry timing to surface strong trading opportunities with institutional discipline.
🟦 1. Daily Screener — Core Stock Selection
All fundamental and structural filters run strictly on Daily data for maximum stability and signal quality.
Daily filters include:
📈 Average Volume & Relative Volume
💲 Minimum Price Threshold
📊 Beta vs SPY
🏢 Market Cap (Billions)
🔥 ATR Liquidity Filter
🧱 Float Requirements
📘 Price Above Daily SMA50
🚀 Minimum Gap-Up Condition
This layer acts like a Finviz-style engine, identifying stocks worth trading before momentum or timing is considered.
🟩 2. 4H Trend Confirmation — Momentum Check
Once a stock passes the Daily screen, the 4-hour timeframe validates trend strength:
🔼 Price above 4H MA
📈 MA pointing upward
This removes structurally good stocks that are not in a healthy trend.
🟧 3. 1H Entry Alignment — Timing Layer
The Hourly timeframe refines near-term timing:
🔼 Price above 1H MA
📉 Short-term upward movement detected
This step ensures the stock isn’t just good on paper—it’s moving now.
🧪 MTF Debug Table (Your Transparency Engine)
A live diagnostic table shows:
All Daily values
All 4H checks
All 1H checks
Exact PASS/FAIL per condition
Perfect for tuning thresholds or understanding why a ticker qualifies or fails.
🎯 Who This Screener Is For
Swing traders
Momentum/trend traders
Systematic and rules-based traders
Traders who want clean, multi-timeframe alignment
By combining Daily fundamentals, 4H trend structure, and 1H momentum, this screener filters the market down to the stocks that are strong, aligned, and ready.
LJ Parsons Harmonic Time StampsPurpose of the Script
This script is designed to divide a specific time period on a market chart (from startDate to endDate) into fractional segments based on mathematically significant ratios. It then plots vertical lines at the first candle that occurs at or after each of these fractional timestamps. Each line is labeled according to an interval scheme, as outlined by LJ Parsons
"Structured Multiplicative, Recursive Systems in Financial Markets"
papers.ssrn.com
Providing a symbolic mapping of time fractions
zenodo.org
Start (00) and End (00): Marks the beginning and end of the period.
Intermediate labels (m2, M2, m3, M3, …): Represent divisions of the time period that correspond to specific fractions of the whole.
This creates a visual “resonance map” along the price chart, where the timing of price movements can be compared to mathematically significant points.
Parsons Market Resonance Theory proposes that markets move in patterns that are not random but resonate with underlying mathematical structures, analogous to logarithmic relationships. The key ideas reflected in this script are:
Temporal Fractional Resonance
By marking fractional points of a defined time period, the script highlights potential moments when market activity might “resonate” due to cyclical patterns. These points are analogous to overtones in music—certain times may have stronger market reactions.
Mapping Market Movements to "Just Intonation" Intervals
Assigning Interval labels to fractional timestamps provides a symbolic framework for understanding market behaviour. For example, the midpoint (P5) may correspond to strong market turning points, while minor or major intervals (m3, M6) might correspond to subtler movements.
Identifying Potentially Significant Points in Time
The plotted lines do not predict price direction but rather identify temporal markers where price movements may be more likely to display structured behaviour. Traders or researchers can then study price reactions around these lines for correlations with market resonance patterns.
In essence, the script turns a period of time into a harmonic structure, with each line and label acting like a “note” in the market’s temporal symphony. It’s a tool to visualize and test whether price behaviour aligns with the resonant fractions hypothesized in MRT.
Traders edge indicator1Trend Confirmation: The primary trend is determined by the alignment of the long-term EMAs (e.g., 100 and 200). The trade direction should align with this overall trend.
Entry/Exit Signals: Shorter EMAs (e.g., 9 or 20) are used for high-probability entry points. Pullbacks to these faster EMAs within the context of a strong trend are common entry signals.
Dynamic Support and Resistance: The various EMAs and the VWAP line often act as magnetic levels where price tends to pause, reverse, or consolidate.
VWAP as Mean Reversion Target: In a volatile market, if the price moves significantly away from the VWAP, it may be considered "overextended," and a mean-reversion move back towards the VWAP is often anticipated.
RRE OB/LiqSymbol Selection: Added SymbolSelect() to ensure the symbol is available in Market Watch
Lot Size Validation: Checks minimum/maximum lot sizes and step
Fixed TP/SL Calculation: Corrected the formula using tick_size
Order Filling Type: Added ORDER_FILLING_IOC (may need FOK depending on broker)
Price Normalization: Added NormalizeDouble() for proper price formatting
Slippage: Added req.deviation = 10 for market execution
Detailed Logging: Prints all order details and specific error codes
Common Issues to Check:
Check the Expert Log for error messages and retcodes
AutoTrading must be enabled (button in toolbar)
Allow live trading in EA settings
Broker restrictions: Some brokers block EA trading on certain accounts
Market hours: Ensure market is open for the symbol
Order filling mode: Try changing ORDER_FILLING_IOC to
Focus On Work time (Tehran)If you only want to analyze the market during specific working hours and ignore the rest, this indicator is for you. It lets you hide or highlight non-working times on your chart, so you can focus only on the sessions that matter to you.
Just set your start time and end time for the work session.
By default, the time is set to UTC+3:30 (Tehran time), but you can change it to any timezone you like.
TMT Sessions - Hitesh_NimjeTMT Session - HiteshNimje
Overview
This indicator highlights four configurable trading sessions (default: New York / London / Tokyo / Sydney) and draws session ranges, session VWAPs, session mean/trendline, max/min lines and optional dashboard info. It was built for students of Thought Magic Trading (TMT) to quickly visualize intraday structure across major sessions.
Key features
4 separate sessions (A/B/C/D) — customizable names, times and colors.
Session Range boxes (high/low), optional outline and labels.
VWAP per session (volume-weighted average price).
Mean / Trendline for session price (optional).
Optional session Max/Min lines.
Small on-chart descriptive labels explaining what each plotted line means.
Simple dashboard showing session status (Active/Inactive), volume, trend strength and standard deviation (optional).
Timezone offset or use exchange timezone.
Default colors
Session A — Blue
Session B — Black
Session C — Red
Session D — Orange
Usage / Notes
Designed for intraday analysis — works best on intraday timeframes.
Toggle any session, overlay, or label via input settings to reduce chart clutter.
Labels and dashboard are optional; enable them only when you want the additional on-chart information.
The indicator does not provide buy/sell signals. Use it as a structural reference in conjunction with your trading plan.
Access & License
EXCLUSIVE ACCESS: This indicator is for TMT students only.
Distribution: Invite-only (author permission required) — the author will grant access by invitation.
Redistribution, modification, or public reposting without permission is prohibited.
Support / Contact
For access requests or issues, contact the author: Hitesh_Nimje (Thought Magic Trading).
(Provide invite requests directly to the author — do not attempt to share copies.)
Disclaimer
For educational purposes only. Trading involves risk. Past performance is not indicative of future results. The author is not responsible for trading losses.
EMA Crossover + Angle + Candle Pattern + Breakout (Clean)mrdfgdfew;qwiohj'fjpqwpodkqsk [pal
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EMA Crossover + Angle + Candle Pattern + Breakout (Clean)+mrit uses 9 15 ema startegy with angle and candle also candle used are pin bar , hammer, full body
mayank raj indicatorit uses 9 and 15 ema strategy with angle so that u dont enter in sideways market also the candle entries are hmmer,pinbar,fullbody
Hurst Flow • @Capital.comDescription
Hurst Flow is a regime-adaptive analytical tool that measures the continuous intention force behind market behavior.
It blends momentum and persistence analysis to quantify how strongly price movement aligns with trend continuation versus mean reversion.
The output is a normalized continuous force line:
Positive values indicate increasing long-side capital exposure — markets showing trend-persistence and momentum alignment.
Negative values reflect strengthening short-side capital exposure — environments favoring mean reversion or fading moves.
Internally, the indicator processes open-price rate-of-change dynamics through adaptive smoothing, persistence estimation, and standardized scaling, producing a stable and comparable signal across time frames and assets.
Use Hurst Flow as a market regime compass — to gauge bias, filter trades, or allocate exposure intensity dynamically.
Input descriptions
TF — Timeframe used to compute the signal. Higher TF = smoother, less whipsaw, but more lag.
ROC length (Open) — Lookback for Open-to-Open rate of change (base momentum horizon).
EMA length — Smoothing for ROC; increases stability at the cost of responsiveness.
Hurst window — Window for Hurst-style persistence estimate; governs regime sensitivity.
Standartizatoin window — Period for standardization; makes values comparable across assets/timeframes.
Scale factor (0..1) — Final gain applied to the standardized signal; use <1 to temper amplitude.
Presets/Backtest
Below is a list of presets that can be used to test indicators. The presets cover various asset classes and time frames, demonstrating versatility and high customizability. To do this, you can use a special strategy Target % Rebalancer Based Strategy on Intention Indicator . The entry signal for the strategy is the output signal of the indicator from the chart, which can be selected from a special drop-down list. A detailed description of the strategy can be found on a special page. The presets presented were created on instruments not included in the sample.
Below are the basic presets for the strategy. Other configuration functions can be used to fine-tune the strategy.
The strategy settings are the same for all of the presets listed. The time interval must be set for both the indicator and the chart.
Strategy fine tuning
Enable Hysteresis + Cooldown : Off
Risk & costs
Enable Max Daily Loss Halt : Off
Commission : 0.1%
============== Pre-Sets for Hurst Flow Indicator =============================
Preset Gold
Chart bar size: 3D
Indicator settings
TF : 3D
ROC : 10
EMA : 22
Hurst : 16
Standardization window length : 8
Scale : 1
====================================================
Preset Crude Oil:USOIL
Chart bar size: 1D
Indicator settings
TF : 1D
ROC : 70
EMA : 6
Hurst : 26
Standardization window length : 16
Scale : 1
Final Weight Cap : 1
====================================================
Preset S&P500 index
Chart bar size: 2D
Indicator settings
TF : 2D
ROC : 26
EMA : 8
Hurst : 33
Standardization window length : 16
Scale : 1
====================================================
Preset MSFT
Chart bar size: 2D
Indicator settings
TF : 2D
ROC : 16
EMA : 50
Hurst : 44
Standardization window length : 32
Scale : 1
