DTC AIO [US] Why this is one tool, not a bundle of indicators
A stock's chart alone cannot tell you whether it is a genuine market leader. A rising 50-day average looks the same whether the earnings behind it are accelerating or shrinking; a strong-looking breakout looks the same whether the whole sector is moving or just that one ticker. Answering "is this a leader worth trading" requires checking several unrelated data sources against each other at the same time — the company's actual earnings, its price behavior relative to the market, how it behaves specifically when the market is under stress, and how it stacks up against the handful of stocks that compete with it. None of those four checks alone is reliable; a stock can look strong on any one of them and still not be a real leader. This script exists because doing that cross-check by hand — pulling up earnings, then flipping to a relative-strength chart, then manually building a peer watchlist — is slow and easy to skip. It runs all four checks against the same symbol on the same chart, automatically, and only then hands you the price-structure tools (moving averages, an anchored VWAP, pattern markers) needed to time an entry once that leadership case is actually made. The scoring engines are the reason this script exists; the timing tools are there so you are not forced to add three more indicators once you have your answer.
The four leadership checks
- Earnings engine. Quarterly or annual earnings and sales are pulled from PulseWire's financial data and laid out in a MarketSmith-style grid: the primary metric (earnings per share, or net income if you prefer), its year-over-year percentage change, sales, and the sales percentage change, with optional gross-margin and return-on-equity rows. Year-over-year is measured against the same period one year earlier so seasonal businesses compare fairly. A year-over-year change measured off a negative prior-year base is flagged with a "#", the standard convention for marking a percentage that would otherwise be misleading (e.g. earnings improving from -$1.00 to -$0.10 is not really a "-90%" move).
- Relative strength versus the market. A relative-strength line is built by dividing the stock's price by a benchmark's price (SPY by default), then scaling that ratio so it plots alongside the stock's own price. A one-year percentile rank of that ratio produces a 1-99 "RS Rating" — this is the same underlying idea used by IBD's RS Rating (how a stock's performance ranks against the rest of the market over the past year), calculated independently here from price data rather than licensed from any provider.
- Relative strength during stress ("Panic RS"). This checks something the plain RS line does not: whether the stock is holding above its own short-term average on days when the benchmark itself is below its own short-term average — in other words, is this stock outperforming specifically while the broad market is under pressure. That is a materially different (and rarer) signal than simply outperforming during a rally, and it is flagged with its own marker.
- Burst score (volatility regime). Instead of a single volatility number like ATR, this counts how many days over a chosen lookback (3 months to 3 years) closed up 5%, 10% and 17% or more, then combines those three counts into one score. A stock that regularly produces large up-days behaves very differently from one that grinds slowly upward even if their average volatility looks similar, and that difference is often visible in this count before it shows up in a standard momentum indicator.
- Automatic peer comparison. The stock's industry (or sector, as a fallback) is matched against a built-in map of roughly 60 US industry groups, each with a curated list of representative peer tickers, and a comparison table is built automatically from that group — day, 1-month and 3-month return, relative volume, and an RS column for each peer, with the current symbol pinned at the top. The RS column ranks each peer's 3-month return against the OTHER peers actually shown in the table (a 0-100 scale, highest = strongest of the group) — a peer-group-relative read, deliberately not the same 1-year-vs-market calculation the main RS Rating uses, since ranking a handful of direct competitors against each other is the more useful comparison in a table built specifically to check group leadership. You are not expected to build or maintain your own watchlist of comparable stocks; the peer set is derived from the symbol you already have on the chart.
Timing tools (used once the leadership case is made, not standalone)
- Four configurable moving averages (simple, exponential or weighted; independent length, color and width) for the standard support/trend read.
- An anchored VWAP measured from the most recent all-time high forward, giving a volume-weighted "fair value" line for the current up-leg rather than an arbitrary fixed lookback.
- Average daily range percentage and relative volume, so a breakout can be judged against the stock's own normal range and normal volume rather than an absolute number.
- Pattern markers: inside bars, a simplified pocket-pivot flag (an up day of 5%+ on above-threshold volume), the lowest-volume day over a lookback (often precedes a move), "three weeks tight" closes (three consecutive weekly closes within a volatility-scaled band of each other, an IBD base-tightening pattern), and swing high/low pivot labels with optional percentage change between them.
Compact dashboard
A small, repositionable table (top-right by default) puts the numbers behind the leadership read in one place: RS Rating, relative volume, average daily range %, 3-month return, the burst score, and float %. A stretched average daily range (7% or more) or an already-extended 3-month return (80% or more) is flagged in red with a ⚠ marker as a "this has probably already moved a lot" caution. Market cap, free float, and average dollar volume are available as the earnings table's configurable top-left header cell instead of a separate panel, so they sit next to the earnings grid they help contextualize.
How to use it
1. Add it to a daily chart of a US stock.
2. Check the earnings grid and the RS line/rating first: you want rising year-over-year earnings and sales together with relative strength making new highs against the benchmark.
3. Check whether the Panic RS markers and burst score are present — that tells you whether the leadership is showing up specifically during market weakness, and whether the stock has the range profile of an actual leader rather than a slow grinder.
4. Check the peer table to confirm the stock is leading its own group, not just riding the index up.
5. Once those four checks line up, use the moving-average stack, the anchored VWAP and the pattern markers to time an entry near support, sizing with the daily-range and relative-volume readings.
6. Every block has its own on/off toggle, so the dashboard can be reduced to only the checks you personally use.
Notes
- Earnings, sales, margin, return on equity, and the market-cap/float figures come from PulseWire's financial data and are only as complete as that data is for a given symbol; missing values show a dash rather than a misleading zero.
- Defaults assume US equities on a daily timeframe with a broad-market benchmark; the script will run on other markets and timeframes, but those defaults are US-equity-specific and not tuned for anything else.
- Tables and colors adapt automatically to a light or dark chart background.
- Open-source. Every input has a plain-language label and tooltip, so reading Pine is not required to use it.
- For educational and informational purposes only. Not financial advice.
Indicator
Indicator
Order Flow Volume Delta, CVD, Absorption & Divergence [LunqFX]Price shows you WHERE the market went. Order flow shows you WHO pushed it there — buyers or sellers — and whether they had real volume behind the move. This Order Flow indicator reads the volume delta on every candle (the balance of buying volume vs selling volume), builds it into a cumulative volume delta (CVD) trend, and automatically marks the two order-flow events that lead price: absorption and delta divergence. Everything is drawn on your chart as clean delta candles, order-flow support/resistance levels and a live buying-pressure dashboard.
❶ THE CONCEPTS (so it's clear)
▸ VOLUME DELTA — the difference between buying volume and selling volume inside a bar. Positive delta = buyers were more aggressive, negative = sellers. It is the core of all order-flow analysis.
▸ CVD (CUMULATIVE VOLUME DELTA) — delta added up over time. A rising CVD means buyers are steadily accumulating; a falling CVD means distribution by sellers. CVD is how you see the real trend of order flow, not just price.
▸ ABSORPTION — a bar with heavy volume but almost no price movement. It means a large player (smart money / institutional) is absorbing every market order at that level. Absorption very often appears right before a reversal.
▸ DELTA DIVERGENCE — price makes a new high but CVD does not (or a new low but CVD does not). The move has no real volume behind it — a trap / exhaustion signal that warns a reversal is likely.
❷ WHAT YOU SEE ON THE CHART
▸ Delta candles — sky-blue when buyers won the bar, coral when sellers won; the brighter the candle, the more one-sided the flow. You read buying and selling pressure at a glance.
▸ Order-flow levels — every absorption (gold) and divergence (blue / coral) is projected to the right as a support/resistance level with its exact price. These are the levels where big volume actually traded, so price reacts to them again.
▸ Live dashboard — who is in control (buyers vs sellers) from the CVD, the CVD value, the current bar's buy/sell pressure split, and the latest signal.
❸ HOW TO TRADE IT — STEP BY STEP
1 — Read the BIAS. The panel shows ▲ BUYERS or ▼ SELLERS IN CONTROL from the CVD. Trade with the side that controls order flow, not against it.
2 — Watch for DELTA DIVERGENCE against the move. Price higher high while CVD makes a lower high = buyers are exhausted → look for shorts. Price lower low while CVD makes a higher low = sellers are exhausted → look for longs. This is the highest-value order-flow reversal signal.
3 — Use ABSORPTION as a reversal cue. When heavy volume fails to move price, the move is being absorbed; watch for the turn and use that gold level as your invalidation line.
4 — Trade the reaction at order-flow levels. Old absorption and divergence levels act as support and resistance — enter when the delta flips back in your favour as price returns to a level.
5 — Confirm with Bar pressure. The panel's ▲/▼ % buy shows the live buy/sell split — take the trade when it agrees with your setup and the bias.
❹ HOW IT WORKS (fully transparent)
Each bar's volume is split by where price closed in its range: buy-volume = volume × (close − low) ÷ range, sell-volume = volume × (high − close) ÷ range, and delta = buy − sell. This is a transparent, range-based volume-delta estimate — it needs no tick or bid/ask feed, so it runs on any symbol. CVD is the running sum of that delta (session-anchored on intraday charts, fully cumulative on daily and higher, handled automatically). Absorption is flagged when volume rises above its average by your chosen multiple while the candle body stays smaller than a fraction of ATR. Divergence compares each confirmed swing pivot in price with the CVD value at that pivot. Every reading comes from closed bars and confirmed pivots — no repainting, no lookahead.
Order flow is strongest on markets with true exchange volume — crypto, stocks, futures and indices — and on intraday timeframes (1m–4h), where buying and selling pressure is most meaningful. On forex, volume is broker tick-volume, so treat the delta as an approximation of order flow rather than exact.
SETTINGS — CVD reset (Session / Week / None), absorption sensitivity, divergence swing length, number of order-flow levels + glow, delta candles on/off, dashboard position.
ALERTS — bullish delta divergence, bearish delta divergence, absorption, and CVD crossing zero (buyers / sellers taking control).
This indicator is an educational market-analysis tool, not financial advice. The volume delta shown here is a transparent estimate from price and volume, not exchange-audited bid/ask order flow, and past behaviour does not guarantee future results. Always confirm with your own analysis and manage your risk.
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Strong Biotech Screener | ProjectSyndicateStrong Biotech Screener turns dozens of charts into a single institutional-style dashboard, ranking a curated universe of 40 leading biotech names by performance across six timeframes and scoring each one on professional-grade risk metrics — Beta, Sharpe, Sortino, Omega, Z-Score, and Kelly — so you can find the year's biotech leaders and weigh their risk-adjusted quality at a glance, all on one clean, sortable panel. Every figure is computed live on the daily timeframe from real price history, not hard-coded, so the board reflects the market as it actually is right now.
🧬 Curated 40-Name Biotech Universe — the screener watches a hand-picked list of 40 high-momentum biotech, pharma, and life-sciences stocks in one place. Instead of flipping through forty charts, you see every name's performance and risk profile side by side and immediately spot who is leading and who is rolling over.
🗓️ Six-Timeframe Performance — each stock is tracked across Week, Month, Quarter, 6-Month, 12-Month, and Year-to-Date returns, so you can separate a one-week catalyst pop from a genuine long-run trend and see momentum building or fading across horizons in a single row.
🧮 Institutional Risk Metrics, Done Properly — beyond raw returns, every name is scored on Sharpe (excess return per unit of total volatility), Sortino (return per unit of downside risk only), Omega (probability-weighted gains versus losses above the risk-free threshold), Z-Score (how stretched the recent move is in standard deviations), and the Kelly fraction (a theoretical optimal-sizing read from return and variance). The stats are annualized from daily returns over a rolling window with a configurable risk-free rate, so the risk picture is consistent and comparable across the whole list — which matters especially in biotech, where single-name volatility is extreme.
🎯 Basket-Relative Beta — Beta is measured against an equal-weight basket of the 40 names in the screener, so it tells you how a stock moves relative to this specific biotech cohort rather than a broad index. Beta above 1 swings harder than the group; below 1 is steadier. You control the lookback length used for the beta and correlation calculation.
🌡️ Annualized Weekly Volatility — a dedicated Wk Vol column annualizes the standard deviation of recent weekly returns, giving you a fast read on how violent each name's price action is before you size into it — essential in a sector where binary trial and FDA events can move a stock 50% in a session.
🔀 Dynamic Sorting — sort the entire board by any of the six performance columns with a single setting. Rank by YTD to find the year's biotech leaders, by Week to catch what is moving on fresh catalysts, or by any horizon in between — the table re-ranks instantly.
🎨 Bloomberg-Amber Theme with Color-Coded Strength — a clean amber-on-black dashboard with a multi-level gradient that runs from bright amber on the strongest gains through to deep red on the steepest losses, so strength and weakness jump out the moment you look at the panel.
🧩 Fully Customizable Dashboard — place the table anywhere on the chart (Top / Middle / Bottom paired with Left / Center / Right), choose your text size (Tiny / Small / Normal / Large), set the sort column, the beta length, and the risk-free rate and periods — all from the settings menu, no code editing required.
🔒 Daily-Timeframe Lock — the screener is built for daily data and will prompt you to switch if you load it on a lower timeframe, so the returns, volatility, and ratios are always calculated on the basis they are designed for.
⚡ Lightweight and Efficient — the whole 40-name board is built from a tight, well-organized script that runs smoothly on PulseWire, with a clean merged title heading and an alternating-row layout for easy reading. Delisted or halted tickers degrade gracefully to blank rows rather than breaking the panel.
🎯 Why this is different — most watchlists show you price and maybe a percentage move. This screener puts performance and a full institutional risk stack — Sharpe, Sortino, Omega, Z-Score, Kelly, Beta, and annualized volatility — for forty leading biotech names on one sortable, color-coded panel, so you are ranking opportunities by risk-adjusted quality, not just chasing the biggest green number.
🚀 Where to use it — apply it to any daily chart to monitor the biotech leadership group as a whole. Use it for top-down scanning, rotation ideas, and risk screening before you drill into an individual name's chart for entry timing.
⚠️ Important — this is a research and decision-support dashboard, not a buy/sell system, and it makes no performance guarantees. The 40-name universe is a snapshot of the year's momentum leaders and will drift over time; the board re-ranks live, but membership is fixed until updated. All figures are historical and descriptive, computed from past price data, and say nothing certain about the future. Risk metrics like Sharpe, Sortino, Omega, Z-Score, and Kelly are simplified, assumption-based estimates and should inform your judgment, not replace it. Biotech is an especially high-risk sector driven by binary clinical and regulatory events — always pair the screener with your own analysis and risk management. Indicator
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Indicator
DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard"
This Dynamic Trading Dashboard is designed as an educational tool within the PulseWire environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module.
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1. Price and Daily Reference Points
The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range.
For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges.
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2. VWAP (Volume Weighted Average Price)
VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it.
For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups.
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3. Volume Analysis
The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage.
This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends.
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4. RSI (Relative Strength Index)
RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars.
RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification.
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5. MACD (Moving Average Convergence Divergence)
The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred.
MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis.
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6. Stochastic Oscillator
This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20).
Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints.
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7. Trend & Momentum Classification
The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral).
This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly.
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8. Accumulation / Distribution Bias
Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”.
This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing.
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9. Overall Market Status and Score
Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal.
This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align.
Extended Study Material with Formulas
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1. Daily Reference Levels (High, Low, Open, Median, Range)
• Day High (H): Maximum price of the session.
DayHigh=max(Hightoday)DayHigh=max(Hightoday)
• Day Low (L): Minimum price of the session.
DayLow=min(Lowtoday)DayLow=min(Lowtoday)
• Day Open (O): Opening price of the session.
DayOpen=OpentodayDayOpen=Opentoday
• Day Range:
Range=DayHigh−DayLowRange=DayHigh−DayLow
• Median: Mid-point between high and low.
Median=DayHigh+DayLow2Median=2DayHigh+DayLow
These act as intraday guideposts for seeing how far the price has stretched from its key reference levels.
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2. VWAP (Volume Weighted Average Price)
VWAP considers both price and volume for a weighted average:
VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei)
Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3.
• Interpretation: Price above VWAP = bullish bias; Price below = bearish bias.
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3. Volume Buy/Sell Analysis
The dashboard splits total volume into buy volume and sell volume based on candle type.
• Buy Volume:
BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0
• Sell Volume:
SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0
• Buy Ratio (%):
VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100
This helps traders gauge who is in control during a session—buyers or sellers.
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4. RSI (Relative Strength Index)
RSI measures strength of momentum by comparing gains vs. losses.
Step 1: Compute average gains (AG) and losses (AL).
AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods
Step 2: Calculate relative strength (RS).
RS=AGALRS=ALAG
Step 3: RSI formula.
RSI=100−1001+RSRSI=100−1+RS100
• Used to detect overbought (>70), oversold (<30), or neutral momentum zones.
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5. MACD (Moving Average Convergence Divergence)
• Fast EMA:
EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast)
• Slow EMA:
EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow)
• MACD Line:
MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow
• Signal Line:
Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal)
• Histogram:
Histogram=MACD−SignalHistogram=MACD−Signal
Crossovers between MACD and Signal are used in studying bullish/bearish phases.
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6. Stochastic Oscillator
Stochastic compares the current close against a range of highs and lows.
%K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100
Where LowestLow and HighestHigh are the lowest and highest values over N periods.
The %D line is a smooth version of %K (using a moving average).
%D=SMA(%K,smooth)%D=SMA(%K,smooth)
• Values above 80 = overbought; below 20 = oversold.
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7. Trend and Momentum Classification
This dashboard generates simplified trend/momentum logic using RSI.
• Trend:
• RSI < 40 → Downtrend
• RSI > 60 → Uptrend
• In Between → Neutral
• Momentum Bias:
• RSI > 70 → Bullish Hold
• RSI < 30 → Bearish Hold
• Otherwise Neutral
This is not predictive, only a classification framework for educational use.
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8. Accumulation/Distribution Bias
Based on extreme RSI values:
• RSI < 25 → Accumulate Long Bias
• RSI > 80 → Accumulate Short Bias
• Else → Wait/No Action
This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking).
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9. Overall Market Status and Score
The tool adds up 5 bullish conditions:
1. Price above VWAP
2. RSI > 50
3. MACD > Signal
4. Stochastic > 50
5. Price above Daily Median
BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100
Then it categorizes the market:
• RSI > 70 or Stoch > 80 → Overbought
• RSI < 30 or Stoch < 20 → Oversold
• Else → Normal
This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals.
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
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⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the PulseWire platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions. Indicator
ETF Builder & Backtest System [TradeDots]Create, analyze, and monitor your own custom “ETF-like” portfolio directly on PulseWire. This script merges up to 10 different assets with user-defined weightings into a single composite chart, allowing you to see how your personalized portfolio would have performed historically. It is an original tool designed to help traders and investors quickly gauge risk and return profiles without leaving the PulseWire platform.
📝 HOW IT WORKS
1. Custom Portfolio Construction
Multiple Assets : Combine up to 10 different stocks, ETFs, cryptocurrencies, or other symbols.
User-Defined Weights : Allocate each asset a percentage weight (e.g., 15% in AAPL, 10% in MSFT, etc.).
Single Composite Value : The script calculates a weighted “ETF-style” price, effectively simulating a merged portfolio curve on your chart.
2. Performance Tracking & Return Analysis
Automatic History Capture : The indicator records each asset’s starting price when it first appears in your chosen date range.
Rolling Updates : As time progresses, all asset prices are continually evaluated and the portfolio value is updated in real time.
Buy & Hold Returns : See how each asset—and the overall portfolio—performed from the “start” date to the most recent bar.
Annualized Return : Automatically calculates CAGR (Compound Annual Growth Rate) to help visualize performance over varying timescales.
3. Table & Visual Output
Performance Table : A comprehensive table displays individual asset returns, annualized returns, and portfolio totals.
Normalized Chart Plot : The composite ETF value is scaled to 100 at the start date, making it easy to compare relative growth or decline.
Optional Time Filter : You can define a specific date range (Start/End Dates) to focus on a particular period or to limit historical data.
⚙️ KEY FEATURES
1. Flexible Asset Selection
Choose any symbols from multiple asset classes. The script will only run calculations when data is available—no need to worry about missing quotes.
2. Dynamic Table Reporting
Start Price for each asset
Percentage Weight in the portfolio
Total Return (%) and Annualized Return (%)
3. Simple Backtesting Logic
This script takes a straightforward Buy & Hold perspective. Once the start date is reached, the portfolio remains static until the end date, so you can quickly assess hypothetical growth.
4. Plot Customization
Toggle the main “ETF” plot on/off.
Alter the visual style for tables and text.
Adjust the time filter to limit or extend your performance measurement window.
🚀 HOW TO USE IT
1. Add the Script
Search for “ETF Builder & Backtest System ” in the Indicators & Strategies tab or manually add it to your chart after saving it in your Pine Editor.
2. Configure Inputs
Enable Time Filter : Choose whether to restrict the analysis to a particular date range.
Start & End Date : Define the period you want to measure performance over (e.g., from 2019-12-31 to 2025-01-01).
Assets & Weights : Enter each symbol and specify a percentage weight (up to 10 assets).
Display Options : Pick where you want the Table to appear and choose background/text colors.
3. Interpret the Table & Plots
Asset Rows : Each asset’s ticker, weighting, start price, and performance metrics.
ETF Total Row : Summarizes total weighting, composite starting value, and overall returns.
Normalized Plot : Tracks growth/decline of the combined portfolio, starting at 100 on the chart.
4. Refine Your Strategy
Compare how different weights or a new mix of assets would have performed over the same period.
Assess if certain assets contribute disproportionately to your returns or volatility.
Use the results to guide allocations in your real trading or paper trading accounts.
❗️LIMITATIONS
1. Buy & Hold Only
This script does not handle rebalancing or partial divestments. Once the portfolio starts, weights remain fixed throughout the chosen timeframe.
2. No Reinvestment Tracking
Dividends or other distributions are not factored into performance.
3. Data Availability
If historical data for a particular asset is unavailable on PulseWire, related results may display as “N/A.”
4. Market Regimes & Volatility
Past performance does not guarantee similar future behavior. Markets can change rapidly, which may render historical backtests less predictive over time.
⚠️ RISK DISCLAIMER
Trading and investing carry significant risk and can result in financial loss. The “ETF Builder & Backtest System ” is provided for informational and educational purposes only. It does not constitute financial advice.
Always conduct your own research.
Use proper risk management and position sizing.
Past performance does not guarantee future results.
This script is an original creation by TradeDots, published under the Mozilla Public License 2.0.
Use this indicator as part of a broader trading or investment approach—consider fundamental and technical factors, overall market context, and personal risk tolerance. No trading tool can assure profits; exercise caution and responsibility in all financial decisions.
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Strategy
Indicator
Fisher Transform on RSIOverview
The Fisher Transform on RSI indicator combines the Relative Strength Index (RSI) with the Fisher Transform to offer a refined tool for identifying market turning points and trends. By applying the Fisher Transform to the RSI, this indicator converts RSI values into a Gaussian normal distribution, enhancing the precision of detecting overbought and oversold conditions. This method provides a clearer and more accurate identification of potential market reversals than the standard RSI.
Key/Unique Features
Fisher Transform Applied to RSI : Transforms RSI values into a Gaussian normal distribution, improving the detection of overbought and oversold conditions.
Smoothing : Applies additional smoothing to the Fisher Transform, reducing noise and providing clearer signals.
Signal Line : Includes a signal line to identify crossover points, indicating potential buy or sell signals.
Custom Alerts : Built-in alert conditions for bullish and bearish crossovers, keeping traders informed of significant market movements.
Visual Enhancements : Background color changes based on crossover conditions, offering immediate visual cues for potential trading opportunities.
How It Works
RSI Calculation : The indicator calculates the Relative Strength Index (RSI) based on the selected source and period length.
Normalization : The RSI values are normalized to fit within a range of -1 to 1, which is essential for the Fisher Transform.
Fisher Transform : The normalized RSI values undergo the Fisher Transform, converting them into a Gaussian normal distribution.
Smoothing : The transformed values are smoothed using a simple moving average to reduce noise and provide more reliable signals.
Signal Line : A signal line, which is a simple moving average of the smoothed Fisher Transform, is plotted to identify crossover points.
Alerts and Visuals : Custom alert conditions are set for bullish and bearish crossovers, and the background color changes to indicate these conditions.
Usage Instructions
Trend Identification : Use the Fisher Transform on RSI to identify overbought and oversold conditions with enhanced precision, aiding in spotting potential trend reversals.
Trade Signals : Monitor the crossovers between the smoothed Fisher Transform and the signal line. A bullish crossover suggests a potential buying opportunity, while a bearish crossover indicates a potential selling opportunity.
Alerts : Set custom alerts based on the built-in conditions to receive notifications when important crossover events occur, ensuring you never miss a trading opportunity.
Visual Cues : Utilize the background color changes to quickly identify bullish (green) and bearish (red) conditions, providing immediate visual feedback on market sentiment.
Complementary Analysis : Combine this indicator with other technical analysis tools and indicators to enhance your overall trading strategy and make more informed decisions.
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Forex & Stock Daily WatchList And Screener [M]Hi, this is a watchlist and screener indicator for Forex and Stocks.
This indicator is designed for traders who trade in the forex markets and monitor developments in indices and other currency pairs.
It includes information on 14 indices such as the volatility index, Baltic dry index, etc. You can customize the indices as you wish. The indices table contains the index's price (or points), daily change, stochastic value, and trend direction.
The second table is designed for trading forex and stock currency pairs.
In this table, you will find information such as price, volume, change, stochastic, RSI, trend direction, and MACD result for all traded pairs. You can customize all the currency pairs in this table as you wish, and you can also tailor the oscillator settings to your preferences.
In the settings section, you can use checkboxes to hide the pairs in both tables.
The "Customize" section in the settings allows you to personalize the table appearances according to your preferences. Indicator
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kyle algo v1
Integration of multiple technical indicators: The strategy mainly combines two technical indicators - Keltner Channels and Supertrend, to generate trading signals. It also calculates fifteen exponential moving averages (EMAs) for the high price with different periods ranging from 9 to 51.
Unique combination of indicators: The traditional Supertrend typically uses Average True Range (ATR) to calculate its upper and lower bands. In contrast, this script modifies the approach to use Keltner Channels instead.
Flexible sensitivity adjustment: This strategy provides a "sensitivity" input parameter for users to adjust, which controls the multiplier for the range in the Supertrend calculation. This can make the signals more or less sensitive to price changes, allowing users to tailor the strategy to their own risk tolerance and trading style.
EMA Energy Representation: The code offers a visualization of "EMA Energy", which color-codes the EMA lines based on whether the closing price is above or below the EMA line. This can provide an intuitive understanding of market trends.
Clear visual signals: The strategy generates clear "BUY" and "SELL" signals, represented as labels on the chart. This makes it easy to identify potential entry and exit points in the market.
Customizable: The script provides several user inputs, making it possible to fine-tune the strategy according to different market conditions and individual trading preferences.
EMA (Exponential Moving Average) Principle:
The EMA is a type of moving average that assigns more weight to the most recent data.
It responds more quickly to recent price changes and is used to capture short-term price trends.
Principle of Color Change :
In this trading strategy, the color of the EMA line changes based on whether the closing price is above or below the EMA. If the closing price is above the EMA, the EMA line turns green,
indicating an upward price trend. Conversely, if the closing price is below the EMA, the EMA line turns red,
indicating a downward price trend. These color changes help traders to more intuitively identify price trends
In short, our team provides a lot of practical space
That is your development space
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Rainbow Drift BetaRainbow Drift Beta is an indicator that detects the triggers of long and short positions at any TF.
It's based on two different type of approaches to the EMAs periods:
- Classic EMAs periods: 10 and 50
- Cycle EMAs perdios: 16, 64 and 256
The 256 period EMA (Annual Cycle) detects the trend: if the EMA 64 (Three-Weekly Cycle) is above, it shows an uptrend; while the EMA 64 is below, it means that the price action is in downtrend.
10 and 16 periods EMAs are working together as well as the 50 and the 64. The first couple reacts faster than the second one and as soon as the 10 is above the 16, the band shows the first attempt of the price action to go in the uptrend direction. The same concept is applied to the second couple (50, 64): when EMA 50 > EMA 64 it's a confirmation of the faster EMAs long direction. Viceverca happens for the downtrend but with the same concept.
As the EMA periods taken in consideration are quite often a sensitive level of reaction of the price, the indicator detects when there is trigger of a long or a short set up and plots a label on the chart. It's possibile to set up an alert as well.
Quite important, the indicator is looking for sideways patterns as the breakout of them shows a clear direction of the price.
Moreover, in order to privide the first and the best entry possibile, the indicator has a function that is triggering only one time as the trend reverted: for example, a long entry on the EMA 10-16 happens only one time since they crossover the EMA 64.
As included in the name, this is a beta version and new improvements will be added in the near future like suggested price entry, SL and TP, and the focus of the development is to avoid as much as possibile the false triggers.
Of course the best way to improve the code is to receive the users' feedbacks, so please feel free to post your comments and questions. Indicator
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Magic CandleThis indicator is very simple, but surprisingly effective, and I haven't found any mention of something similar, so here it is. I hope it helps you in your stock trading.
Someone made a comment in a trading room that the 8 am candle of the stock looked odd, so I quickly checked all the other stocks I had on my screen, and for all of them, the 8 am candle was just a little strange. What's more, is that the stock would often respond to the high and low values of that 8 am candle later on in the day. It turned out to be quite an important support and resistance level indicator for stocks which I've used in my trading ever since I discovered it.
After testing it out day after day on multiple stocks, I decided to write this indicator, which not only projects the high and low values of the 8 am candle, but also the previous day's closing price.
If you find that there's another "magic candle" out there for Forex or Crypto, please let me know!
You have the option to set the "magic candle" to another time, if you want to experiment with things. Indicator
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