SP500 Weekly Posture Ribbon (EMA10W)Check if the SP500 is bullish or bearish. Do not buy stocks when SP500 is bearish.
Portfolio management
Long-Term Trend & Valuation Model [Backquant]Long-Term Trend & Valuation Model
Invite-only. A universal long-term valuation strategy and trend model built to work across markets, with an emphasis on crypto where cycles and volatility are large. Intended primarily for the 1D timeframe. Inputs should be adjusted per asset to reflect its structure and volatility.
If you would like to checkout the simplified and open source valuation, check out:
What this is
A two-layer framework that answers two different questions.
• The Valuation Engine asks “how extended is price relative to its own long-term regime” and outputs a centered oscillator that moves positive in supportive conditions and negative in deteriorating conditions.
• The Trend Model asks “is the market actually trending in a sustained direction” and converts several independent subsystems into a single composite score.
The combination lets you separate “where we are in the cycle” from “what to do about it” so allocation and timing can be handled with fewer conflicts.
Design philosophy
Crypto and many risk assets move in multi-month expansions and contractions. Short tools flip often and can be misleading near regime boundaries. This model favors slower, high-confidence information, then summarizes it in simple visuals and alerts. It is not trying to catch every swing. It is built to help you participate in the meat of long uptrends, de-risk during deteriorations, and identify stretched conditions that deserve caution or patience.
Valuation Engine, high level
The Valuation Engine blends several slow signals into one measure. Exact transforms, windows, and weights are private, but the categories below describe the intent. Each input is standardized so unlike units can be combined without one dominating.
Momentum quality — favors persistent, orderly advances over erratic spikes. Helps distinguish trend continuation from noise.
Mean-reversion pressure — detects when price is far from a long anchor or when oscillators are pulling back toward equilibrium.
Risk-adjusted return — long-window reward to variability. Encourages time in market when advances are efficient rather than merely fast.
Volume imbalance — summarizes whether activity is expanding with advances or with declines, using a slow envelope to avoid day-to-day churn.
Trend distance — expresses how stretched price is from a structural baseline rather than from a short moving average.
Price normalization — a long z-score of price to keep extremes comparable across cycles and symbols.
How the Valuation Engine is shaped
Standardization — components are put on comparable scales over long windows.
Composite blend — standardized parts are combined into one reading with protective weighting. No single family can override the rest on its own.
Smoothing — optional moving average smoothing to reduce whipsaw around zero or around the bands.
Bounded scaling — the composite is compressed into a stable, interpretable range so the mid zone and extremes are visually consistent. This reduces the effect of outliers without hiding genuine stress.
Volatility-aware re-expansion — after compression, the series is allowed to swing wider in high-volatility regimes so “overbought” and “oversold” remain meaningful when conditions change.
Thresholds — fixed OB/OS levels or dynamic bands that float with recent dispersion. Dynamic bands use k times a rolling standard deviation. Fixed bands are simple and comparable across charts.
How to read the Valuation Oscillator
Above zero suggests a supportive backdrop. Rising and positive often aligns with uptrends that are gaining participation.
Below zero suggests deterioration or risk aversion. Falling and negative often aligns with distribution or with trend exhaustion.
Touches of the upper band show stretch on the optimistic side. Repeated tags without breakdown often occur late in cycles, especially in crypto.
Touches of the lower band show stretch on the pessimistic side. They are common in washouts and early bases.
Visual elements
Valuation Oscillator — colored by sign for instant context.
OB/OS guides — fixed or dynamic bands.
Background and bar colors — optional, tied to the sign of valuation for quick scans.
Summary table — optional, shows the standardized contribution of the major categories and the final composite score with a simple status icon.
Trend Model, composite scoring
The trend side aggregates several independent subsystems. Each subsystem issues a vote: long, short, or neutral. Votes are averaged into a composite score. The exact logic of each subsystem is intentionally abstracted. The families below describe roles, not formulas.
Long-horizon price state — checks where price sits relative to multiple structural baselines and whether those baselines are aligned.
Macro regime checks — favors sustained risk-on behavior and penalizes persistent deterioration in breadth or volatility structure.
Ultimate confirmation — a conservative filter that only votes when directional evidence is persistent.
Minimalist sanity checks — keep the model responsive to obvious extremes and prevent “stuck neutral” states.
Higher timeframe or overlay inputs — optional votes that consider slower contexts or relative strength to stabilize borderline periods.
You define two cutoffs for the composite: above the long threshold the state is Long , below the short threshold the state is Short , in between is Cash/Neutral . The script paints a signal line on price for an at-a-glance view and provides alerts when the composite crosses your thresholds.
How it can be used
Cycle framing in crypto — use deep negative valuation as accumulation context, then look for the composite trend to move through your long threshold. Late in cycles, extended positive valuation with weakening composite votes is a caution cue for de-risking or tighter management.
Regime-based allocation — increase risk or loosen take-profits when the composite is firmly Long and valuation is rising. Decrease risk or rotate to stable holdings when the composite is Short and valuation is falling.
Signal gating — run shorter-term entry systems only in the direction of the composite. This reduces counter-trend trades and improves holding discipline during strong uptrends.
Sizing overlay — scale position sizes by the magnitude of the valuation reading. Smaller sizes near the upper band during aging advances, larger sizes near zero after strong resets.
DCA context — for long-only accumulation, schedule heavier adds when valuation is negative and stabilizing, then lighten or pause adds when valuation is very positive and flattening.
Cross-asset rotation — compare symbols on 1D with the same fixed bands. Favor assets with positive valuation that are also in a Long composite state.
Interpreting common patterns
Early build-out — valuation rises from below zero, but the composite is still neutral. This is often the base-building phase. Patience and staged entries can make sense.
Healthy advance — valuation positive and trending up, composite firmly Long. Pullbacks that keep valuation above zero are usually opportunities rather than trend breaks.
Late-cycle stretch — valuation pinned near the upper band while the composite starts to weaken toward neutral. Consider trimming, tightening risk, or shifting to a “let the market prove it” stance.
Distribution and unwind — valuation negative and falling, composite Short. Rallies are treated as counter-trend until both turn.
Settings that matter
Timeframe
This model is intended for 1D as the primary view. It can be inspected on higher or lower frames, but the design choices assume daily bars for crypto and other risk assets.
Asset-specific tuning
Inputs should be adjusted per asset. Coins with high variability benefit from longer lookbacks and slightly wider dynamic bands. Lower-volatility instruments can use shorter windows and tighter bands.
Valuation side
Lookback lengths — longer values make the oscillator steadier and more cycle-aware. Shorter values increase sensitivity but create more mid-zone noise.
Smoothing — enable to reduce flicker around zero and around the bands. Disable if you want faster warnings of regime change.
Dynamic vs fixed thresholds — dynamic bands float with recent dispersion and keep OB/OS comparable across regimes. Fixed bands are simple and make inter-asset comparison easy.
Scaling and re-expansion — keep this enabled if you want extremes to remain interpretable when volatility rises.
Trend side
Composite thresholds — widen the neutral zone if you want fewer flips. Tighten thresholds if you want earlier signals at the cost of more transitions.
Visibility — use the price-pane signal line and bar coloring to keep the regime in view while you focus on structure.
Alerts
Valuation OB/OS enter and exit — the oscillator entering or leaving stretched zones.
Zero-line crosses — valuation turning positive or negative.
Trend flips — composite crossing your long or short threshold.
Strengths
Separates “valuation context” from “trend state,” which improves decisions about when to add, reduce, or stand aside.
Composite voting reduces reliance on any single indicator family and improves robustness across regimes.
Volatility-aware scaling keeps signals interpretable during quiet and wild markets.
Clear, configurable visuals and alerts that support long-horizon discipline rather than frequent toggling.
Final thoughts
This is a universal long-term valuation strategy and trend model that aims to keep you aligned with the dominant regime while giving transparent context for stretch and risk. For crypto on 1D, it helps map accumulation, expansion, distribution, and unwind phases with a single, consistent language. Tune lookbacks, smoothing, and thresholds to the asset you trade, let the valuation side tell you where you are in the cycle, and let the composite trend side tell you what stance to hold until the market meaningfully changes.
Rolling Performance Toolkit (Returns, Correlation and Sharpe)This script provides a flexible toolkit for evaluating rolling performance metrics between any asset and a benchmark.
Features:
Library-based: Built on a custom utilities library for consistent return and statistics calculations.
Rolling Window Control: Choose the lookback period (in days) to calculate metrics.
Multiple Modes: Toggle between Rolling Returns, Rolling Correlation, and Rolling Sharpe Ratio.
Benchmark Comparison: Compare your selected ticker against a benchmark (default: S&P 500 / SPX), but you can easily switch to any symbol.
Risk-Free Rate Options: Choose from zero, a constant annual % rate, or a proxy symbol (default: US03M – 3-Month Treasury Yield).
Annualized Sharpe: Sharpe ratios are annualized by default (×√252) for intuitive interpretation.
This tool is useful for traders and investors who want to monitor relative performance, diversification benefits, or risk-adjusted returns over time.
Beta -> PROFABIGHI_CAPITAL🌟 Overview
The Beta → PROFABIGHI_CAPITAL indicator calculates the systematic risk measurement of any asset relative to a chosen benchmark using statistical correlation analysis and variance decomposition methodology . It combines return calculation, covariance analysis, and variance measurement across (Asset Returns, Benchmark Returns, Correlation Analysis) with rolling window calculations. The indicator features automated beta coefficient calculation , zero-division protection , and benchmark comparison analysis for enhanced systematic risk assessment and market correlation identification.
⚙️ General Settings
– Lookback Period : Number of bars for calculating rolling statistics and correlations (1-500 bars, default: 30).
– Benchmark Symbol : Reference market index for beta calculation (default: CRYPTO:BTCUSD).
– Overlay Setting : False - displays as separate pane oscillator for clear beta visualization.
📊 Beta Calculation Components & Methods
The indicator calculates systematic risk metrics using advanced statistical methods:
- Asset Returns : Rate of change calculation for current asset percentage movements per bar
- Benchmark Returns : Rate of change calculation for benchmark percentage movements per bar
- Mean Asset Returns : Simple moving average of asset returns over lookback period
- Mean Benchmark Returns : Simple moving average of benchmark returns over lookback period
- Covariance Calculation : Manual computation measuring how asset and benchmark move together
- Benchmark Variance : Manual calculation of benchmark return volatility and dispersion
- Beta Coefficient : Systematic risk measure derived from covariance divided by benchmark variance
📈 Advanced Statistical Features
Correlation Analysis Framework:
- Return Decomposition : Separation of asset returns into systematic and unsystematic components
- Market Sensitivity : Measurement of asset responsiveness to benchmark movements
- Risk Attribution : Identification of market-related versus asset-specific risk factors
Rolling Window Analysis:
- Dynamic Lookback : Continuously updated statistics over specified period for current relevance
- Adaptive Calculation : Real-time recalculation with each new bar for evolving correlation analysis
- Statistical Smoothing : Moving average application for return volatility reduction
Mathematical Protection:
- Zero-Division Safety : Built-in protection preventing calculation errors when benchmark variance equals zero
- Error Handling : Returns appropriate values when statistical calculations become undefined
- Robust Framework : Maintains functionality across all market conditions and correlation scenarios
📏 Signal Levels & Interpretation
– Beta = 1 (Gray Dash) : Asset moves in perfect correlation with benchmark (same volatility)
– Beta > 1 (Above Line) : Asset exhibits higher volatility than benchmark (amplified movements)
– Beta < 1 (Below Line) : Asset exhibits lower volatility than benchmark (dampened movements)
– Beta = 0 (Zero Line) : No correlation between asset and benchmark movements
– Negative Beta : Inverse correlation - asset moves opposite to benchmark direction
📋 Beta Interpretation Framework
Systematic Risk Analysis :
- Beta > 1.0 : High Beta Asset - greater systematic risk and volatility than market
- Beta = 1.0 : Market Beta - moves in line with benchmark volatility
- Beta < 1.0 : Low Beta Asset - lower systematic risk and volatility than market
- Beta ≈ 0 : Market Neutral - minimal correlation with benchmark movements
- Negative Beta : Hedge Asset - provides portfolio diversification through inverse correlation
Portfolio Management Applications :
- Risk Assessment : Understanding asset's contribution to portfolio systematic risk
- Diversification Analysis : Identifying correlation patterns for portfolio construction
- Hedging Strategy : Utilizing beta relationships for risk management
- Asset Selection : Choosing assets based on desired beta characteristics
🎨 Visual Features
– Beta Line : Blue line plot with 2-pixel thickness showing beta coefficient evolution
– Reference Line : Horizontal dashed gray line at beta = 1 for market correlation reference
– Separate Pane Display : Independent oscillator visualization for focused beta analysis
– Dynamic Scaling : Automatic y-axis adjustment to accommodate beta value ranges
🔍 Advanced Features
– Multi-Asset Compatibility : Works across all asset classes and market instruments
– Benchmark Flexibility : Any tradable symbol can serve as correlation benchmark
– Real-Time Updates : Continuous beta recalculation with each new price bar
– Statistical Accuracy : Manual covariance and variance calculations ensuring precision
– Rolling Window Methodology : Maintains specified lookback period for all calculations
– Correlation Sensitivity : Responsive to changing market relationships and correlations
🔔 Beta Applications & Signals
– High Beta Identification : Assets with beta > 1.2 indicating high market sensitivity
– Low Beta Recognition : Assets with beta < 0.8 indicating defensive characteristics
– Beta Stability Analysis : Monitoring beta consistency over time for reliability assessment
– Correlation Breakdown : Identifying periods when historical correlations change
– Risk Management : Using beta values for position sizing and portfolio risk control
– Market Regime Detection : Beta changes often signal shifting market conditions
By utilizing precise statistical correlation analysis and systematic risk measurement , the Beta → PROFABIGHI_CAPITAL indicator provides mathematically robust market sensitivity analysis , offering accurate identification of systematic risk exposure through rigorous covariance calculation , variance analysis , and benchmark correlation assessment .
Alpha -> PROFABIGHI CAPITAL🌟 Overview
The Alpha → PROFABIGHI CAPITAL indicator calculates the excess return performance of any asset relative to a chosen benchmark using beta coefficient analysis and risk-adjusted return measurement . It combines covariance calculation, variance analysis, and return averaging across (Asset Returns, Benchmark Returns, Beta Coefficient) with rolling window calculations. The indicator features automated alpha generation detection through statistical correlation analysis and zero-division protection for reliable performance measurement.
⚙️ General Settings
– Lookback Period : Number of bars for calculating rolling statistics and correlations (1-500 bars, default: 30).
– Benchmark Symbol : Reference market index for comparison (default: CRYPTO:BTCUSD).
– Overlay Setting : False - displays as separate pane oscillator for clear alpha visualization.
📊 Alpha Calculation Components & Methods
The indicator calculates multiple performance metrics using statistical methods:
- Asset Returns : Rate of change calculations for current asset price movements per bar
- Benchmark Returns : Rate of change calculations for benchmark price movements per bar
- Mean Asset Returns : Simple moving average of asset returns over lookback period
- Mean Benchmark Returns : Simple moving average of benchmark returns over lookback period
- Covariance Calculation : Manual computation measuring how asset and benchmark move together
- Benchmark Variance : Manual calculation of benchmark return volatility and dispersion
- Beta Coefficient : Covariance divided by benchmark variance with zero-division protection
- Alpha Calculation : Mean asset returns minus beta multiplied by mean benchmark returns
📈 Advanced Statistical Features
Rolling Window Analysis:
- Dynamic Lookback : All calculations use specified lookback period for current relevance
- Continuous Updates : Statistics recalculated with each new bar for real-time analysis
- Moving Averages : Simple moving average calculations for return smoothing
Security Data Integration:
- Multi-Symbol Processing : Fetches benchmark data using security request function
- Timeframe Matching : Uses current chart timeframe for benchmark data synchronization
- Close Price Focus : Utilizes closing prices for both asset and benchmark calculations
Mathematical Protection:
- Zero-Division Check : Conditional logic prevents division by zero in beta calculation
- NA Value Handling : Returns 'na' when benchmark variance equals zero
- Robust Framework : Maintains functionality when calculations become undefined
📏 Signal Levels & Interpretation
– Positive Alpha (Green) : Asset returns exceed beta-adjusted benchmark performance
– Negative Alpha (Red) : Asset returns fall below beta-adjusted benchmark performance
– Zero Line Reference : Horizontal dashed line marking neutral alpha level
– Alpha Magnitude : Higher absolute values indicate stronger relative performance
– Color-Coded Display : Automatic green/red formatting based on positive/negative values
📋 Mathematical Framework
Core Calculation Process :
- Return Calculation : Rate of change for both asset and benchmark over single periods
- Mean Return Smoothing : Simple moving averages applied to return streams
- Covariance Formula : Average of return products minus product of mean returns
- Variance Formula : Average of squared returns minus squared mean returns
- Beta Derivation : Covariance divided by benchmark variance
- Alpha Formula : Asset mean return minus beta times benchmark mean return
🎨 Visual Features
– Alpha Line Plot : Main alpha visualization with 2-pixel line thickness
– Conditional Coloring : Green for positive alpha, red for negative alpha values
– Enhanced Visibility : Thick line format for clear trend identification
– Zero Reference Line : Gray dashed horizontal line at zero level
– Separate Display Pane : Independent oscillator panel below price chart
🔍 Advanced Features
– Real-Time Calculation : Updates automatically with each new price bar
– Manual Statistical Computation : Direct covariance and variance calculations for precision
– Benchmark Flexibility : Any tradable symbol can serve as performance reference
– Error Prevention : Built-in zero-division protection for reliable operation
– Multi-Asset Compatibility : Works across different asset classes and markets
– Rolling Window Methodology : Maintains specified lookback period for all calculations
🔔 Performance Signals
– Alpha Positive Crossover : When alpha value moves above zero line
– Alpha Negative Crossover : When alpha value moves below zero line
– Sustained Alpha Trends : Consistent positive or negative alpha over multiple periods
– Alpha Magnitude Changes : Increasing or decreasing strength of relative performance
– Beta-Adjusted Comparison : Performance measurement accounting for systematic risk correlation
By utilizing rolling statistical calculations and beta-adjusted return analysis , the Alpha → PROFABIGHI CAPITAL indicator provides mathematically sound relative performance measurement , offering accurate identification of excess return generation through systematic covariance and variance analysis with comprehensive zero-division protection .
Mean Reversion Channel [QuantAlgo]🟢 Overview
The Mean Reversion Channel indicator is a range-bound trading system that combines dynamic price channels with momentum-weighted analysis to identify optimal mean reversion opportunities. It creates adaptive upper and lower reversion zones based on recent price action and volatility, while incorporating a momentum-biased equilibrium line that shifts based on volume-weighted price momentum. This creates a three-tier system where traders and investors can identify overbought and oversold conditions within established ranges, detect momentum exhaustion points, and anticipate channel breakouts or breakdowns. This indicator is particularly valuable for strategic dollar cost averaging (DCA) strategies, as it helps identify optimal accumulation zones during oversold conditions and provides tactical risk management levels for systematic investment approaches across different market conditions and asset classes.
🟢 How It Works
The indicator employs a four-stage calculation process that transforms raw price and volume data into actionable mean reversion signals. First, it establishes the base channel by calculating the highest high and lowest low over a user-defined lookback period, creating the foundational price range for mean reversion analysis. This channel adapts continuously as new price data becomes available, ensuring the system remains relevant to current market conditions.
In the second stage, the system calculates volume-weighted momentum by combining price momentum with volume activity. The momentum calculation takes the price change over a specified period and multiplies it by the volume ratio (current volume versus 20-period average volume, for instance) and a volume factor multiplier. This creates momentum readings that are more significant during high-volume periods and less influential during low-volume conditions.
The third stage creates the dynamic reversion zones using Average True Range (ATR) calculations. The upper reversion zone is positioned below the channel high by an ATR-based distance, while the lower reversion zone is positioned above the channel low. These zones contract when momentum is negative (upper zone) or positive (lower zone), creating asymmetric reversion bands that adapt to momentum conditions.
The final stage establishes the momentum-biased equilibrium line by calculating the midpoint between the reversion zones and adjusting it based on momentum bias. When momentum is positive, the equilibrium shifts upward; when negative, it shifts downward. This creates a dynamic reference level that helps identify when price action is moving against the prevailing momentum trend, signaling potential mean reversion opportunities.
🟢 How to Use
1. Mean Reversion Signal Identification
Lower Reversion Zone Signals: When price reaches or falls below the lower reversion zone with bearish momentum, the system generates potential long/buy entry signals indicating oversold conditions within the established range.
Upper Reversion Zone Signals: When price reaches or exceeds the upper reversion zone with bullish momentum, the system generates potential short/sell entry signals indicating overbought conditions.
2. Equilibrium Line Analysis and Momentum Exhaustion
Equilibrium Breaks: The dynamic equilibrium line serves as a momentum bias indicator within the channel. Price crossing above equilibrium suggests shifting to bullish bias, while breaks below indicate bearish bias development within the mean reversion framework.
Momentum Exhaustion Signals: The system identifies momentum exhaustion when price breaks through the equilibrium line opposite to the prevailing momentum direction. Bullish exhaustion occurs when price falls below equilibrium despite positive momentum, while bearish exhaustion happens when price rises above equilibrium during negative momentum periods.
3. Channel Expansion and Breakout Detection
Channel Boundary Breaks: When price breaks above the upper reversion zone or below the lower reversion zone, it signals potential channel expansion or false breakout conditions. These events often precede significant trend changes or range expansion phases.
Range Expansion Alerts: Breaks above the channel high or below the channel low indicate potential breakout from the mean reversion range, suggesting trend continuation or new directional movement beyond the established boundaries.
🟢 Pro Tips for Trading and Investing
→ Strategic DCA Optimization: Use the lower reversion zone as primary accumulation levels for dollar cost averaging strategies. When price reaches oversold conditions with bearish momentum exhaustion signals, it often represents optimal entry points for systematic investment programs, allowing investors to accumulate positions at statistically favorable price levels within the established range.
→ DCA Pause and Acceleration Signals : Monitor equilibrium line breaks to adjust DCA frequency and amounts. When price consistently trades below equilibrium with momentum exhaustion signals, consider accelerating DCA intervals or increasing investment amounts. Conversely, when price reaches upper reversion zones, consider pausing or reducing DCA activity until more favorable conditions return.
→ Momentum Divergence Detection: Watch for divergences between price action and momentum readings within the channel. When price makes new lows but momentum shows improvement, or price makes new highs with deteriorating momentum, these signal high-probability mean reversion setups ideal for contrarian investment approaches.
→ Alert-Based Systematic Investing/Trading: Utilize the comprehensive alert system for automated DCA triggers. Set up alerts for lower reversion zone touches combined with momentum exhaustion signals to create systematic entry points that remove emotional decision-making from long-term investment strategies, particularly effective for volatile assets where timing improvements can significantly impact overall returns.
RDT Buy/Sell Signals Scalp 1MExit alerts for scalps for the 1m chart.
An alert is triggered, if a 1m candle ended and a 3/8 EMA cross was created in the according direction (depending on whether Long or Short Exit alert is set).
Entry alerts basically work the same. I've never ever used them so far though, since it never made sense the way I trade.
More infos: www.reddit.com
15/30M Alerts"X Candle Close":
Same as in 5m Enter alert: it's really helpful to wait for a 15m/30m candle to be confirmed, to see f. e. whether a candle really broke a support / resistance or not - and to prevent making bad decisions.
More infos: www.reddit.com
1D Exit Alerts"A Daily Exit LONG" + "B Daily Exit SHORT":
I'm not using this one anymore since they often make me worry more than necessary, and I focus more on aiming to reach specific price targets, or using the 5m Exit alerts instead.
Also swing trades require less time-sensitive operations than day trades, so for me personally they felt a bit redundant.
But maybe it helps some of you:
There are 4 conditions that trigger it. As with 5m Exit Alerts, the triggering reasons show up in the exit alert message (unfortunately only as a number, since alert messages can't have "dynamic text" in TradingView).
Here are the conditions sorted from best to worst:
Gap Up / Down. Better check SPY and the stock whether a Gap Reversal is likely to happen (aka get out) or whether the stock will keep going higher / lower.
Earnings: End of day or Tomorrow morning. Alert is triggered at beginning of morning before earnings, and then again 15m before market close.
Mental stop loss: Broke daily EMA 8 or SMA - in the wrong direction....
Wrong direction: Broke below / above yesterday's Low / High. It's not immediately triggered, but only after re-touching VWAP again, to prevent too impulsive exits.
As with 5m Exit alerts: Always consider how the market and stock looks like, then decide whether to exit or not! These are meant to make you look at the chart, not to FOMO-exit.
"X Candle Close":
Same as in 1D Enter alert: Is triggered 15m before market close (I put it in here as well because I kept forgetting whether I put this one into Enter or Exit alerts...)
More infos: www.reddit.com
1D Enter AlertsThis is only a remaining of an experiment. I had real swing enter alerts, but it just made more sense to use classic TradingView alerts for horizontal / trendline / SMA breaks.
(Btw you can set up a horizontal alert in TradingView just by hovering the mouse on the chart so it's at the price point you aim for, and pressing "Alt + A").
Once this horizontal alert triggered I would usually wait for confirmation of the move on the 5m. If it's f. e. a break of an SMA and I'm not convinced yet, I might wait until end of the day. For exactly that purpose the following alert comes in handy:
"X Candle Close":
Is triggered 15m before market close - good reminder to check a stock again to see whether a resistance / support break was valid - and the stock should be entered as a swing, or maybe whether it should be closed as a loss.
"Z Trend Change: UP" + "Z Trend Change: DOWN":
Same as on 5m Exit Alert: meant to be only applied on SPY, and to have it set up to never end!
Criteria:
SPY broke through daily EMA 8 or daily SMA today, indicating an important short-term change on the daily chart.
Is triggered 15m before market close
More infos: www.reddit.com
5m Exit AlertsThese can help a lot with Daytrading if you don't have a price target in mind when there's no clear resistance / support nearby, and you don't trust the market enough to hold it as a swing trade.
Keep in mind that its main purpose is to give you a "warning" that it might be good to look at your screen, instead of guaranteeing you "now is the best time to exit". You won't reach high winning stats by blindly following this alert.
"A Exit LONG":
(I'm using letters instead of numbers for all Exit alerts to make sure I don't accidentally confuse Enter and Exit alerts).
There are 4 conditions that might trigger it. The reasons show up in the exit alert message (unfortunately only as a number, since alert messages can't have "dynamic text" in TradingView), and can also be displayed as symbols in the chart (see image above - make sure to enable "Show Signals" in the indicator settings first though).
Here are the conditions sorted from best to worst:
Technical reversal: Bearish Hammer candle with Volume > 2 * avg volume (of last 30 candles), when 5m candle closed. Reversal very likely. This is usually the best time to take your gains for the rest of the day.
EMA 3/8 cross: standard 5m EMA 3/8 cross, indicating a trend reversal, or at least a pullback. Can also be helpful to detect double tops / double bottoms.
Trailing Stop Loss: Crossed below 30m EMA 8, 5m candle closed. This is a "fallback" alert in case EMA 3 was already below EMA 8 before you set up the alert. It's not unlikely that the stock might go further down to VWAP, so depending on the chart and market this might be a good opportunity to save the gains you have left.
"Final" Stop Loss: Crossed below VWAP. Usually not a good sign. If you entered around VWAP your losses shouldn't be big yet, but if you plan on holding the stock the Daily chart and market outlook should better be quite convincing, and you wouldn't have needed to use this alert in the first place.
Keep in mind these work of course best if you picked a "good" stock: clear movement, tidy price action, high volume. Otherwise alerts are more likely to be triggered redundantly.
Always consider how the market and stock looks like, then decide whether to exit or not! Usually it makes sense to wait a bit to see f. e. whether the stock bounces off the 30m EMA 8, and it's just a pullback.
"B Enter SHORT":
Similar, but for shorts...
"C 1m Scalp LONG" + "D 1m Scalp SHORT":
Simple Scalping alert for EMA 3/8 cross on a 1m chart - but without needing to use a 1m chart to set it up!
Unfortunately it's not as accurate as manually setting this alert up on a 1m chart. It might be an advantage though that it sometimes is triggered 1-2 min later, since this means there are less redundant triggerings.
It can be useful esp. on high momentum trades, but I honestly haven't used it in a looong while.
"X Candle Close":
same as in 5m Entry indicator: triggered when 5m candle is confirmed
"Z Trend Change: UP" + "Z Trend Change: DOWN":
This one is meant to be used only on SPY: It alerts you when SPY is changing its trending direction, which might mean entering or closing existing trades.
I have therefore set it up to never end (by setting it to "Once Per Bar Close" in the alert settings).
It's based on DMI positive or negative being > 25. I had it based on VWAP at the beginning, but there were days where it was triggered every 5 minutes...
More infos: www.reddit.com
5m Enter AlertsThese alerts work really well to help you find good entries on the 5m chart:
"1 Enter LONG":
This one I use more often than any other alert. It's really great if the stock looks good but is currently overextended on the 5m, or looks like it's starting to pull back. It's triggered right after the stock pulled back to the VWAP or 15m EMA 8 and is about to continue.
All these criteria need to be met for the alert to be triggered on a VWAP pullback:
Crossed up VWAP or VWAP + half ATR recently (so it's also triggered even if it doesn't cross below VWAP on a pullback)
Above 5m EMA 8 (since this indicates it will likely continue higher up)
Closed above highest High of last 3 candles (to prevent premature alerts while the price started pulling back into the range of VWAP + half ATR)
Candle is confirmed (5m ended)
For the 15m EMA 8 pullback it's the same, except for that the 15m EMA 8 also still needs to be above VWAP (otherwise you wouldn't want to enter yet anyways).
"2 Enter SHORT":
Similar, but for shorts...
"3 High Volume Candle":
Detects High Volume Candles on the 5m chart. Can be helpful to get informed that a resistance / support finally broke on high volume, or to be notified about a potential reversal. Can therefore also be useful if applied on SPY.
Criteria:
Candle's volume > 1.2 * avg volume (of last 30 candles)
"X Candle Close":
This one I use quite often as well: it's really helpful to wait for a 5m candle to be confirmed, to see f. e. whether a candle really broke a support / resistance or not - and to prevent making bad decisions.
Criteria:
5m candle closed
More infos: www.reddit.com
Stock Health - 1DWarns you if you look at a "bad" stock, meaning:
Market cap is < 1B (and more intrusive warning if < 500M)
Price is < 10$ (more intrusive if < 5$)
Yesterday's Daily Volume was < 1M (more instrusive if < 500K)
There are earnings end of the day / tomorrow morning
There's a Gap up/down - because I likely shouldn't jump in already but see how it develops
Meant to be used on a 1D chart.
More infos: www.reddit.com
Stock Health - 5mWarns if you are about to trade before 45 min passed since market open.
Good reminder if you are impatient / have ADHD...
Meant to be used on a 5m chart.
More infos: www.reddit.com
Student Wyckoff RS Symbol/MarketRelative Strength Indicator STUDENT WYCKOFF RS SYMBOL/MARKET
Description
The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark.
Key Features
Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage.
Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends.
Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength.
Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period.
Applications
Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment.
Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders.
Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument.
Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions.
Interpretation
Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index).
Falling RS: Suggests the first instrument is underperforming.
SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance.
Settings
Instrument 2: Ticker of the second instrument (default: QQQ).
SMA Period: Period for the Simple Moving Average (default: 14).
Notes
The indicator works on any timeframe but requires accurate ticker input for the second instrument.
Ensure data for both instruments is available on the selected timeframe for precise analysis.
Crypto Perp Calc v1Advanced Perpetual Position Calculator for TradingView
Description
A comprehensive position sizing and risk management tool designed specifically for perpetual futures trading. This indicator eliminates the confusion of calculating leveraged positions by providing real-time position metrics directly on your chart.
Key Features:
Interactive Price Selection: Click directly on chart to set entry, stop loss, and take profit levels
Accurate Lot Size Calculation: Instantly calculates the exact position size needed for your margin and leverage
Multiple Entry Support: DCA into positions with up to 3 entry points with customizable allocation
Multiple Take Profit Levels: Scale out of positions with up to 3 TP targets
Comprehensive Risk Metrics: Shows dollar P&L, account risk percentage, and liquidation price
Visual Risk/Reward: Color-coded boxes and lines display your trade setup clearly
Real-time Info Table: All critical position data in one organized panel
Perfect for traders using perpetual futures who need precise position sizing with leverage.
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How to Use
Quick Start (3 Clicks)
1. Add the indicator to your chart
2. Click three times when prompted:
First click: Set your entry price
Second click: Set your stop loss
Third click: Set your take profit
3. Read the TOTAL LOTS value from the info table (highlighted in yellow)
4. Use this lot size in your exchange when placing the trade
Detailed Setup
Step 1: Configure Your Account
Enter your account balance (total USDT in account)
Set your margin amount (how much USDT to risk on this trade)
Choose your leverage (1x to 125x)
Select Long or Short position
Step 2: Set Price Levels
Main levels use interactive clicking (Entry, SL, TP)
For multiple entries or TPs, use the settings panel to manually input prices and percentages
Step 3: Read the Results
The info table shows:
TOTAL LOTS - The position size to enter on your exchange
Margin Used - Your actual capital at risk
Notional - Total position value (margin × leverage)
Max Risk - Dollar amount you'll lose at stop loss
Total Profit - Dollar amount you'll gain at take profit
R:R Ratio - Risk to reward ratio
Account Risk - Percentage of account at risk
Liquidation - Price where position gets liquidated
Step 4: Advanced Features (Optional)
Multiple Entries (DCA):
Enable "Use Multiple Entries"
Set up to 3 entry prices
Allocate percentage for each (must total 100%)
See individual lot sizes for each entry
Multiple Take Profits:
Enable "Use Multiple TPs"
Set up to 3 TP levels
Allocate percentage to close at each level (must total 100%)
View profit at each target
Visual Elements
Blue lines/labels: Entry points
Red lines/labels: Stop loss
Green lines/labels: Take profit targets
Colored boxes: Visual risk (red) and reward (green) zones
Info table: Can be positioned anywhere on screen
Alerts
Set price alerts for:
Entry zones reached
Stop loss approached
Take profit levels hit
Works with TradingView's alert system
Tips for Best Results
Always verify the lot size matches your intended risk
Check the liquidation price stays far from your stop loss
Monitor the account risk percentage (recommended: keep under 2-3%)
Use the warning indicators if risk exceeds margin
For quick trades, use single entry/TP; for complex strategies, use multiple levels
Example Workflow
Find your trade setup using your analysis
Add this indicator and click to set levels
Check risk metrics in the table
Copy the TOTAL LOTS value
Enter this exact position size on your exchange
Set alerts for key levels if desired
This tool bridges the gap between TradingView charting and exchange execution, ensuring your position sizing is always accurate when trading with leverage.
Disclaimer, this was coded with help of AI, double check calculations if they are off.
Optimised XAU/USD (Gold, IC Markets, 30m)The Illyad Strategy 1.0 optimised for XAU/USD (Gold) on the 30-minute timeframe (IC Markets feed).
📊 Backtest Results (Jan 2024 – Aug 2025):
✅ Total P&L: +30,143.28 USD (+30.14%)
📉 Max Drawdown: 3.60% (3,945.84 USD)
🔁 Total Trades: 57
📈 Win Rate: 42.11% (24/57 trades)
⚖️ Profit Factor: 1.91
This setup shows steady performance and low drawdown on Gold — ideal for traders wanting to capture volatility while maintaining consistency.
🔧 Optimisation Notes:
Works best on the 30m timeframe.
Each instrument (forex, indices, commodities, stocks) has unique behaviour.
To maximise results, always optimise the parameters per symbol — e.g., Gold requires a different configuration than GBP/USD or NASDAQ.
💡 Best Use Cases:
Prop firm challenges & scaling funded accounts.
Long-term compounding with low risk.
Automated execution via TradingView alerts → MT5 for hands-free trading.
⚠️ Disclaimer:
This strategy is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test before going live.
📲 Next Steps:
This example demonstrates the Gold (XAU/USD) optimisation. The Illyad Strategy can be tuned for any forex pair, index, or commodity with proper optimisation.
👉 Visit my profile for full automation solutions.
Optimised GBP/USD (IC Markets, 30m)This is the Illyad Strategy 1.0 optimised for GBP/USD on the 30-minute timeframe (IC Markets feed).
📊 Backtest Results (Jan 2024 – Aug 2025):
✅ Total P&L: +19,501.97 USD (+19.50%)
📉 Max Drawdown: 3.57% (3,607.64 USD)
🔁 Total Trades: 37
📈 Win Rate: 51.35% (19/37 trades)
⚖️ Profit Factor: 2.08
This version shows steady profitability with controlled drawdown, making it highly effective for prop firm evaluations and scaling accounts.
🔧 Optimisation Notes:
Works best on the 30-minute timeframe.
Each symbol behaves differently — always optimise the algo per instrument (e.g. GBP/USD vs EUR/GBP vs Gold).
Parameters such as moving averages, risk, and SL/TP ratios can be tuned to maximise performance.
💡 Best Use Cases:
Prop firm challenges (FTMO, AquaFunded, MyForexFunds, etc.).
Scaling funded capital by trading multiple accounts simultaneously.
Full automation via TradingView alerts → MT5 integration.
⚠️ Disclaimer:
This script is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test on demo before going live.
📲 Next Steps:
This setup demonstrates the GBP/USD optimisation. The Illyad Strategy can be adjusted to perform across any forex pair, index, or stock with proper optimisation.
👉 Check my profile for full automation solutions.
Optimised GBP/CAD (IC Markets, 30m) - Automated TradingHere’s the Illyad Strategy 1.0 optimised for GBP/CAD on the 30-minute timeframe (IC Markets feed).
📊 Backtest Results (Jan 2024 – Aug 2025):
✅ Total P&L: +28,529.35 CAD (+28.53%)
📉 Max Drawdown: 3.61% (3,822.27 CAD)
🔁 Total Trades: 38
📈 Win Rate: 50.00% (19/38 trades)
⚖️ Profit Factor: 2.49
This setup shows strong performance with low drawdown, making it well-suited for prop firm trading and long-term portfolio compounding.
🔧 Optimisation Notes:
Works best on the 30-minute timeframe.
Each symbol has unique volatility and structure. To maximise results, you must optimise the algo per symbol (e.g., GBP/CAD vs EUR/USD vs NASDAQ).
Parameters such as moving averages, signal intensity, and SL/TP levels should be tuned to the instrument.
💡 Best Use Cases:
Prop firm challenges (FTMO, AquaFunded, MyForexFunds alternatives).
Running across multiple accounts simultaneously for compounding.
Automated execution via TradingView alerts → MT5 integration.
⚠️ Disclaimer:
This script is provided for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test on demo before live trading.
📲 Next Steps:
This version demonstrates the GBP/CAD optimisation. The Illyad Strategy can be tuned to work on any symbol (forex, indices, or stocks).
👉 Visit my profile for full automation solutions (TradingView → MT5)
Optimised EURGBP (IC Markets, 30m)Illyad Strategy 1.0 – Optimised EURGBP (IC Markets, 30m)
Description:
This is the Illyad Strategy 1.0 optimised for EURGBP on the 30-minute timeframe (IC Markets feed).
📊 Results (Jan 2024 – Aug 2025):
✅ Total P&L: +£31,032.15 (+31.03%)
📉 Max Drawdown: 2.86% (£3,576.85)
🔁 Total Trades: 39
📈 Win Rate: 58.97%
⚖️ Profit Factor: 2.92
This strategy focuses on controlled drawdown + consistent growth, making it ideal for prop trading challenges and long-term account compounding.
🔧 Optimisation:
Works best on the 30m timeframe.
Each symbol behaves differently — for maximum performance, you should optimise the parameters (MAs, SL/TP, intensity) to the instrument you want to trade.
Example: The EURGBP setup shown here differs from what you’d use on NASDAQ, XAUUSD, or stocks like Tesla.
💡 Best Use Cases:
Passing and scaling prop firm accounts (FTMO, AquaFunded, etc.).
Automated alerts → MT5 integration (hands-free trading).
Consistent, rule-based trading without emotion.
⚠️ Disclaimer:
This script is for educational purposes only. Past results don’t guarantee future performance. Always backtest and forward-test on demo before live trading.
📲 Next Steps:
This version shows the EURGBP optimisation. If you want to run it on other pairs, indices, or stocks → simply optimise parameters for that symbol.
👉 For full automation (TradingView → MT5 execution), check my profile for details.
Illyad Strategy 1.0 - Automate your alerts by connecting to MT5Illyad Strategy 1.0 – Automated Prop Trading System (30m Timeframe)
Description:
The Illyad Strategy 1.0 is a rule-based automated trading system designed for serious traders and prop-firm challenges.
🔑 Key Features:
Optimised to work best on the 30-minute timeframe.
Built-in money management to keep drawdown controlled.
Dynamic stop-loss / take-profit levels.
Works across forex, indices, and stocks.
Compatible with TradingView alerts → MT5 automation.
⚙️ Optimisation:
Each symbol has its own behaviour. For best results, you should optimise the parameters (moving averages, signal intensity, SL/TP ratios) on the symbol you want to trade. The algo adapts differently to EURUSD vs NASDAQ vs stocks like TSLA, so proper tuning is critical.
💡 Best Use Case:
Prop firm accounts (FTMO, MyForexFunds, AquaFunded, etc.).
Consistent returns without emotional decision-making.
Traders who want to scale multiple accounts at once.
⚠️ Disclaimer:
This script is for educational purposes. Past results do not guarantee future returns. Always backtest and forward test on demo before going live.
📲 Next Step:
This is the public version. If you’d like to connect it directly to MT5/MT4 for fully automated trading, visit my profile or contact me for details.