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The Complete Guide to AlphaFlow

Everything you need to know — from reading the heatmap to decoding smart money signals. This guide covers every feature, metric, and indicator in detail.

Market Overview

Spot market themes with the heatmap and filter stocks with the screener.

Deep Analysis

Wyckoff phases, verdict signals, price charts, and quantitative metrics for any stock.

Broker Intelligence

See who is buying and selling — broker tables, flow overlay, Sankey diagrams, and activity calendar.

HeatmapSpot sectorsScreenerFilter & rankAnalysisDeep dive

Stock Heatmap

A bird's-eye view of every stock on the IDX, grouped by sector and colored by daily price change.

  • Every stock as a colored tile — green for gainers, red for losers
  • Tile size reflects relative market capitalization
  • Color intensity shows magnitude of daily change
  • Filter by range bar to spot breakouts or oversold names
  • Click any tile to jump straight to its analysis page
Stock Heatmap
Stock heatmap — all IDX stocks grouped by sector, colored by daily price change

The stock heatmap gives you a bird's-eye view of the entire Indonesian stock market at a glance. Every stock is represented as a colored rectangle grouped by sector. The size of each rectangle reflects the stock's relative market capitalization, and the color represents the daily price change — green for gainers, red for losers, and gray for unchanged.

Color intensity indicates the magnitude of change. A deep green means a large positive move (e.g., +5%), while a faint green means a small gain. Similarly, deep red means a significant drop. This lets you instantly spot which sectors and stocks are moving the most.

Use the range filter bar at the bottom to focus on specific price change ranges. For example, you can filter to show only stocks that moved more than +3% to spot breakouts, or stocks that dropped more than -3% to find potential oversold opportunities.

FinancialsConsumer
Tip
Click on any stock tile to navigate directly to its detailed analysis page. The heatmap is your starting point for discovering market themes.

Stock Screener

Filter, rank, and shortlist stocks using signal quality, market profile, Wyckoff structure, and flow edge.

Screener
Stock screener — filter and rank all IDX stocks by multiple criteria
  • 800+ IDX stocks ranked by multiple quantitative criteria
  • 10 built-in presets for common trading strategies
  • Columns: SMT, Verdict, Wyckoff Phase, R², Hit Rate, Cum. Flow
  • Combine filters freely — market cap, sector, signal quality, and more

How to Use

1Choose a preset or set custom filters

Start with one of the 10 built-in presets (e.g., "Accumulation Setup", "Smart Money Picks") or build your own filter combination from scratch.

2Read Verdict + SMT Score first

Verdict tells you the overall signal direction. SMT Score (0-100) tells you what smart money brokers are doing. "ACCUMULATION" + SMT > 60 is the strongest bullish setup.

3Check Wyckoff Structure

"Accumulation" phase with a "Spring" or "SOS" event = highest-conviction buy. "Distribution" with "UTAD" or "SOW" = highest-conviction sell.

4Confirm with Flow Quality

R² tells you how predictable the stock is using flow data. Hit Rate tells you how often the model gets direction right. R² < 3% and Hit Rate < 52% = likely noise.

Tip
Start with a preset to get an instant shortlist, then customize filters from there. "Accumulation Setup" and "Smart Money Picks" are the most popular starting points.

Screener Columns

Each row in the screener shows: Ticker, current price, SMT Score (smart money direction), Verdict (overall signal), Wyckoff Phase (market cycle stage), R² (flow predictability), Hit Rate (prediction accuracy), and regime classification. Click any row to jump to that stock's detailed analysis.

ColumnWhat it showsWhy it matters
TickerStock code + sector/sub-sector pillsQuick identification
PriceLatest closing priceEntry/exit level reference
MCapMarket capitalizationSize classification — large caps are more liquid
SMT ScoreSmart Money Tracker score (0–100)Core signal — shows institutional buying/selling direction
VerdictOverall signal (Strong Acc → Strong Dist)Final synthesized recommendation
WyckoffCurrent phase + latest eventMarket cycle context — where in the cycle?
R²Flow-price prediction accuracyHow reliable are the flow signals for this stock?
Hit RateDirectional prediction accuracy %How often is the prediction correct?
Cum. FlowCumulative foreign flowLong-term institutional money direction

R² (Predictability)

R² measures how well broker flow data can predict future price movements. Think of it like a weather forecast accuracy score — an R² of 0.10 means flow explains 10% of price moves. That might sound small, but in financial markets, even 5-10% explanatory power is statistically meaningful and provides an edge over random guessing.

MetricWeakModerateStrong
R²< 3%3% — 10%> 10%
Rank IC< 0.050.05 — 0.15> 0.15
Hit Rate< 52%52% — 58%> 58%
Flow vs Price: R² ScatterPriceFlowR² = 0.12Tight cluster around regression line = high explanatory power

SMT Score (Smart Money Tracker)

The SMT Score ranges from 0 to 100 and tracks whether institutional "smart money" brokers are net buying or selling. A score above 60 suggests bullish smart money activity (accumulation), while below 40 suggests bearish activity (distribution). The score combines five signals: net flow direction, broker persistence (conviction), concentration, absorption patterns, and execution quality.

SMT ScoreSignalInterpretation
68 — 100Strong AccumulationInstitutions aggressively buying — strongest bullish signal
54 — 67AccumulationNet institutional buying detected
47 — 53NeutralNo clear directional signal — wait and observe
32 — 46DistributionNet institutional selling detected
0 — 31Strong DistributionInstitutions aggressively selling — strongest bearish signal
SMT Score Gauge<40 Selling40-60 Mixed60+ BuyingScore ~70: strong institutional buying

Wyckoff Phases in the Screener

The screener shows the current Wyckoff phase and the latest detected event for each stock. Filter by phase to find stocks at specific stages of the market cycle.

Bullish Events (look for these in accumulation)

  • Spring — False breakdown below support, then sharp reversal upward. One of the strongest buy signals.
  • SOS (Sign of Strength) — Rally on expanding volume breaking above the trading range.
  • LPS (Last Point of Support) — Final pullback before sustained uptrend begins.
  • Continuation — Phase extends with consistent buyer dominance.
  • Pullback — Healthy retracement in an uptrend, potential re-entry.

Bearish Events (watch out for these)

  • UTAD (Upthrust After Distribution) — Spike above resistance that immediately reverses. Traps late buyers.
  • SOW (Sign of Weakness) — Break below trading range on expanding volume.
  • LPSY (Last Point of Supply) — Weak rally attempt before sustained downtrend.
  • BC (Buying Climax) — Frantic buying on extreme volume. Often marks the top.

Structural Events (early signals)

  • PS (Preliminary Support) — First sign of buying interest after decline.
  • SC (Selling Climax) — Panic selling on extreme volume. Often marks the bottom.
  • AR (Automatic Rally/Reaction) — Natural bounce after climax.
  • ST (Secondary Test) — Price revisits climax area on lower volume.
  • PSY (Preliminary Supply) — First sign of selling pressure after rally.

Regime Classification

Every stock is classified into a "regime" based on its characteristics. The regime determines how analysis weights are adjusted — because you can't analyze a micro-cap stock the same way you analyze a blue-chip.

Blue Chip

Blue Chip — Large cap, high liquidity, many brokers trading (e.g., BBCA, BMRI). SMT and CADI carry more weight because institutional signals are clearest here.

Mid Cap

Mid Cap — Moderate size and liquidity (e.g., ERAA, ACES). Balanced weight distribution across all factors.

Low Liquidity

Low Liquidity — Small/micro caps with few daily transactions. Buyer concentration and trading frequency matter more here because a single broker can move the price.

High Volatility

High Volatility — Stocks with large daily price swings. MFI (Money Flow Index) is weighted more heavily to filter noise from genuine signals.

Institutional-Driven

Institutional-Driven — Stocks where a few large brokers dominate trading (GVPR > 65%). SMT and buyer concentration are prioritized.

Hit Rate

Hit Rate measures how often the flow-price prediction model correctly predicted the direction of price movement. A hit rate of 50% means no better than a coin flip. Above 55% is a meaningful statistical edge. The model uses walk-forward validation — it only tests on data it has never seen before, preventing overfitting.

Hit Rate: Correct vs IncorrectDay 1HitDay 2MissDay 3HitDay 4HitDay 5MissDay 6Hit4 of 6 correct = 67% hit rate

Screener Presets

AlphaFlow includes 10 built-in presets for common screening strategies. Each preset pre-configures the optimal combination of filters.

Accumulation Setup

Stocks in Wyckoff accumulation with bullish verdict.

Verdict: Accumulation+ | Wyckoff: Accumulation

Look for: Spring or SOS events confirming.

High Conviction

Strongest signals only — high SMT + high confidence.

SMT ≥ 65 | Confidence ≥ 70%

Look for: Multiple factors agree strongly.

Distribution Warning

Stocks showing distribution signals.

Verdict: Distribution+ | SMT < 40

Look for: UTAD or SOW events confirming.

Smart Money Picks

Top institutional activity regardless of phase.

SMT ≥ 60 | Sorted by SMT desc

Look for: Consistent SMT > 60 over multiple days.

Blue Chip Focus

Large cap, high liquidity stocks only.

Cap: Large | Liquidity: High

Look for: SMT and CADI most reliable here.

Flow Leaders

Stocks where flow most reliably predicts price.

R² ≥ 5% | Hit Rate ≥ 55%

Look for: Best response to flow analysis.

Active Wyckoff Events

Stocks with a recent Wyckoff event detected.

Has Wyckoff Event: Yes

Look for: Event type tells setup quality.

Markup Continuation

Stocks already in markup phase.

Wyckoff: Markup | SMT ≥ 50

Look for: LPS events for pullback entries.

Spring / SOS Setups

The two most powerful Wyckoff buy signals.

Events: Spring, SOS

Look for: Volume confirm + follow-through.

Watchlist

Create personal watchlists to track stocks you're interested in. You can create multiple watchlist groups (e.g., "Blue Chips," "Accumulation Candidates," "Short-term Plays") and organize stocks across them.

Add stocks from the screener or analysis page. Each watchlist item shows the current price movement, Wyckoff phase, and SMT score at a glance — so you can quickly scan your watched stocks for changes without opening each one individually.

Analysis: Summary

The summary tab is the first thing you see when analyzing a stock. It shows the price chart, Wyckoff phase overlay, stock profile radar, and the overall verdict.

Analysis Summary
Stock analysis summary — price chart, Wyckoff phases, verdict, stock profile
  • Price chart with Wyckoff phase overlay and event markers
  • Summary verdict with confidence percentage
  • Stock profile radar — 5 axes at a glance
  • Wyckoff event guide sidebar for easy reference

Wyckoff Phases & Events

Understand the four market cycle phases and the key events that signal transitions.

The Wyckoff method is a framework to understand market cycles through the lens of supply, demand, and institutional behavior. Every stock cycles through four main phases: Accumulation → Markup → Distribution → Markdown. AlphaFlow detects these phases automatically using a combination of broker flow analysis, price action, and volume patterns.

Imagine a large fish (institutional investor) in a pond. During Accumulation, the fish is quietly eating (buying) without causing ripples — the water level stays flat. During Markup, the fish has eaten enough and the water starts rising. During Distribution, the fish is slowly leaving (selling) while the water is still high — most people don't notice. During Markdown, the water drops as the fish is gone.

Accumulation

Accumulation — Smart money quietly builds positions after a decline. Price moves sideways in a range. Volume may decrease as selling pressure exhausts. Key events: PS (Preliminary Support), SC (Selling Climax), AR (Automatic Rally), ST (Secondary Test), Spring (false breakdown), SOS (Sign of Strength), LPS (Last Point of Support).

Markup

Markup — Price trends upward after accumulation is complete. Volume expands on up-days. The stock breaks above the trading range and enters a sustained uptrend. This is the phase where most profits are made.

Distribution

Distribution — Smart money sells into strength. Price moves sideways at the top of a rally. Volume spikes on up-days as institutions offload to retail buyers. Key events: PSY (Preliminary Supply), BC (Buying Climax), UTAD (Upthrust After Distribution), SOW (Sign of Weakness), LPSY (Last Point of Supply).

Markdown

Markdown — Price trends downward after distribution. Volume may increase as panic selling sets in. The stock breaks below support and enters a sustained downtrend.

AccumulationMarkupDistributionMarkdown
PhaseMarket CyclePrice ActionSmart Money
AccumulationBottom formationSideways, range-boundQuietly buying
MarkupUptrendRising prices, expanding volumeAlready positioned
DistributionTop formationSideways at highsSelling into strength
MarkdownDowntrendFalling prices, panic sellingAlready exited

Accumulation Events

  • PS (Preliminary Support) — First sign of buying interest after a prolonged decline. Like the first person to arrive at a sale — they're testing the waters.
  • SC (Selling Climax) — Panic selling on extreme volume. The last wave of fear. Like a clearance sale where everyone is dumping — this often marks the bottom.
  • AR (Automatic Rally) — A natural bounce after the climax. Buying pressure lifts the price. Establishes the upper boundary of the trading range.
  • ST (Secondary Test) — Price revisits the climax area on lower volume. Tests if sellers are truly exhausted. If volume is lower than SC, it confirms the bottom.
  • Spring — A brief dip below support that quickly reverses. Like a trap — weak hands sell in fear, smart money buys the dip. One of the most powerful accumulation signals.
  • SOS (Sign of Strength) — A rally on expanding volume that breaks above the trading range. Confirms accumulation is complete and markup is beginning.
  • LPS (Last Point of Support) — A pullback after SOS on declining volume. The last buying opportunity before the stock enters a sustained uptrend.
SCARSTSpringSOSLPSBCUTADSOWKey Wyckoff events annotated on a typical price cycle

Distribution Events

  • PSY (Preliminary Supply) — First sign of selling pressure after a rally. Smart money starts lightening positions.
  • BC (Buying Climax) — Frantic buying on extreme volume. Retail FOMO at its peak. Often marks the top.
  • UTAD (Upthrust After Distribution) — A spike above resistance that immediately reverses. Like a Spring in reverse — traps late buyers.
  • SOW (Sign of Weakness) — A break below the trading range on expanding volume. Confirms distribution is complete.
  • LPSY (Last Point of Supply) — A weak rally after SOW on declining volume. The last chance to exit before markdown.
The phase table shows all detected Wyckoff phases for the stock, most recent first. Each row shows: the phase name, date range, number of trading days, opening and closing prices, price range (low to high), percentage change, trend strength (based on efficiency ratio), and confidence level.

Summary Verdict

The final synthesis of all signals into one actionable recommendation with confidence scoring.

The verdict is the final synthesis of all signals into one actionable recommendation. It combines 7 weighted factors that are adjusted based on the stock's regime, then produces a signal with a confidence percentage.

Five verdict signals: STRONG ACCUMULATION (multiple bullish factors converging with high confidence), ACCUMULATION (net bullish bias), NEUTRAL (mixed signals — wait for clarity), DISTRIBUTION (net bearish bias), STRONG DISTRIBUTION (multiple bearish factors with high conviction).

Verdict Signal BarStrong DistDistributionNeutralAccumulationStrong Acc7 weighted factors combine into a single verdict zoneNeedle position = current signal strength
SignalScore RangeMeaning
STRONG ACCUMULATION> 0.35Multiple bullish factors converging — high conviction buy signal
ACCUMULATION0.05 — 0.35Net bullish bias — lean towards buying
NEUTRAL-0.05 — 0.05Mixed signals — wait for clarity
DISTRIBUTION-0.35 — -0.05Net bearish bias — consider trimming
STRONG DISTRIBUTION< -0.35Multiple bearish factors — high conviction sell signal

Confidence percentage reflects how many factors agree with the verdict direction. Higher confidence (70%+) means most indicators point the same way. Low confidence (50-60%) means some factors disagree — proceed with caution.

The verdict adapts its factor weights based on the stock's regime. A blue-chip stock weights SMT more heavily (institutional signals are clearest), while a low-liquidity stock weights buyer concentration more (a single broker can move the price).
Verdict — 7 Weighted FactorsCADIMFIGVPRWyckoffConcent.Persist.Flow-PVerdict

Stock Profile Radar

The radar chart visualizes five key dimensions of a stock's profile at a glance. A larger polygon means stronger overall characteristics. The shape tells you what kind of stock you're looking at.

The five axes: Smart Money (SMT score — institutional activity), Conviction (verdict confidence — how aligned the signals are), Flow Edge (hit rate — prediction accuracy), Liquidity (daily trading value — how easy to buy/sell), Market Cap (company size — larger = more stable).

Smart Money
SMT score — institutional activity level
Conviction
Verdict confidence — signal alignment
Flow Edge
Hit rate — prediction accuracy
Liquidity
Daily trading value — ease of entry/exit
Market Cap
Company size — larger means more stable

Analysis: Transaction

The transaction analysis tab digs deeper into broker behavior with core metrics (CADI, VWAP, GVPR) and advanced signals (SMT, divergence detection, flow-price prediction, concentration asymmetry).

  • Core metrics: CADI trend, VWAP deviation, GVPR participation
  • Smart Money Tracker (SMT) score with 5-component breakdown
  • Flow-price prediction model — R², Rank IC, Hit Rate
  • Divergence detection and concentration asymmetry (Gini)
Transaction Analysis
Transaction analysis — core metrics and advanced signals

Core Metrics

CADI, VWAP Deviation, and GVPR — the three foundational metrics for understanding broker behavior.

CADI (Cumulative Advisor Dollar Index)Core

CADI tracks the net dollar flow of the top 10 most active brokers each day. It multiplies their net lots (buy minus sell) by the closing price, then accumulates over time. When CADI is rising, the biggest brokers are net buying — when falling, they're net selling.

Think of CADI like tracking the collective wallet of the smartest traders in the room. If the experts are consistently putting money in, CADI rises — even if the stock price hasn't moved yet. A rising CADI with a flat price often signals upcoming accumulation.
Cumulative Foreign Flow0Green = net foreign buying, Red = net foreign selling
VWAP DeviationCore

VWAP (Volume Weighted Average Price) represents the "fair price" based on all trades that day — it accounts for both price and volume. VWAP Deviation shows if institutional buyers are paying above fair value (premium, high conviction) or below (discount, opportunistic buying).

Imagine a market where the average price of apples is Rp 5,000. If a big buyer consistently pays Rp 5,200 (positive deviation), they're willing to pay a premium because they believe the price will go higher. If they're buying at Rp 4,800 (negative deviation), they're getting a discount — perhaps because sellers are desperate.
GVPR (Gross Volume Participation Ratio)Core

GVPR measures how concentrated trading volume is among the top 5 brokers. High GVPR (above 60%) means a few big players dominate — this is institutional-driven trading. Low GVPR (below 30%) means trading is dispersed among many small players — this is retail-driven.

Think of a football stadium. High GVPR = 5 people own 60% of the seats (VIP box holders control the game). Low GVPR = thousands of people each own one seat (the crowd decides the atmosphere). When VIP box holders are all buying, pay attention.

Advanced Signals

SMT score, divergence detection, flow-price prediction, and concentration asymmetry.

Smart Money Tracker (SMT)

SMT is the flagship indicator of AlphaFlow. It produces a score from 0 to 100 that represents the net direction of institutional smart money activity. The score is calculated from five weighted components:

Net Flow30%

Net Flow (30% weight) — Are top brokers net buying or selling today? This captures the raw directional signal.

Persistence25%

Persistence (25% weight) — Are brokers staying in the same direction for multiple consecutive days? High persistence means conviction, not just a one-day trade.

Concentration20%

Net Concentration (20% weight) — Are the biggest players aligned on the same side? If the top 5 buyers are large but sellers are small and dispersed, that's strong concentration.

Absorption15%

Absorption (15% weight) — Is high volume occurring with low price movement? This signals institutional absorption — big players buying all available supply without letting the price rise, like quietly buying inventory before announcing a sale.

Execution10%

Execution Quality (10% weight) — Did smart money get good fill prices? If the biggest buyers bought below the closing price, they executed well — suggesting they know what they're doing.

SMT Score Gauge<40 Selling40-60 Mixed60+ BuyingScore ~70: strong institutional buying
SMT is like a detective following the footprints of institutional traders. Net Flow = which direction they're walking. Persistence = how long they keep walking that way. Concentration = are they walking together? Absorption = are they silently collecting items in the store without disturbing the shelves? Execution Quality = did they get good deals?
SMT ScoreSignalInterpretation
68 — 100Strong AccumulationInstitutions aggressively buying — strongest bullish signal
54 — 67AccumulationNet institutional buying detected
47 — 53NeutralNo clear directional signal — wait and observe
32 — 46DistributionNet institutional selling detected
0 — 31Strong DistributionInstitutions aggressively selling — strongest bearish signal

Divergence Detection

Divergence occurs when price and indicators disagree — this often precedes reversals. AlphaFlow detects three types:

  • CADI Divergence — Bullish: price falling but CADI rising (smart money accumulating into weakness). Bearish: price rising but CADI falling (smart money distributing into strength).
  • MFI Divergence — Bullish: price falling but MFI (buying pressure) rising. Bearish: price rising but MFI weakening.
  • Frequency + GINI Divergence — Detects institutional split-order patterns. When trading frequency rises but prices stay flat, and buy-side concentration is high, it may indicate hidden institutional accumulation.

Flow-Price Prediction

This uses a statistical model (ridge regression with walk-forward validation) to test whether broker flow data can predict future price movements. Three key metrics measure the model's performance:

R\u00B2 (Predictability)Key

R² (Predictability) — What percentage of price movement can be explained by broker flow. Above 5% is statistically meaningful. Above 15% is strong.

Rank ICKey

Rank IC (Information Coefficient) — Correlation between predicted price rankings and actual rankings. Above 0.10 is a useful signal. This metric is robust to outliers.

Hit RateKey

Hit Rate — How often the model correctly predicted the direction (up or down). Above 55% is a meaningful edge over random chance.

Flow vs Price: R² ScatterPriceFlowR² = 0.12Tight cluster around regression line = high explanatory power
Hit Rate: Correct vs IncorrectDay 1HitDay 2MissDay 3HitDay 4HitDay 5MissDay 6Hit4 of 6 correct = 67% hit rate
Imagine predicting tomorrow's weather. R² tells you how accurate your overall model is. Rank IC tells you if you correctly ranked which days will be hotter. Hit Rate tells you how often you correctly predicted "will it rain or not." All three together give you a complete picture of prediction quality.

Concentration Asymmetry (GINI)

This uses the Gini coefficient — the same math economists use to measure wealth inequality in countries — to compare buy-side vs sell-side concentration. If buying is concentrated among a few large brokers but selling is dispersed among many small brokers, that's a sign of institutional accumulation.

Asymmetry above +0.12: institutional accumulation (few big buyers, many small sellers). Below -0.12: institutional distribution (few big sellers, many small buyers). Between -0.02 and +0.02: balanced/retail-driven.

Think of a country's wealth distribution. If 5 families own 80% of all land (high Gini), that's concentrated. If 1,000 families each own 0.1%, that's dispersed. When the buy-side Gini is much higher than the sell-side Gini, it means a few big buyers are quietly accumulating while many small sellers are dispersing their shares.
Gini Asymmetry: Buy vs Sell ConcentrationBuy GiniSell GiniAsymmetryGap between curves = concentration imbalance
AsymmetrySignalWhat it means
> +0.12Institutional AccumulationFew big buyers, many small sellers — institutions loading up
+0.02 — +0.12Leaning AccumulationMild buy-side concentration
-0.02 — +0.02NeutralBalanced — retail-driven or no clear pattern
-0.12 — -0.02Leaning DistributionMild sell-side concentration
< -0.12Institutional DistributionFew big sellers, many small buyers — institutions unloading

Broker Summary Data

Drill into individual broker behavior with summary tables, activity calendars, Sankey diagrams, and flow overlays.

Broker Data
Broker summary data — tables, activity calendar, broker flow overlay
  • Buyer/seller tables with gross and net toggle
  • Activity calendar heatmap showing daily broker patterns
  • Sankey flow diagram — who buys from whom
  • Broker flow overlay on candlestick chart — cumulative lines per broker

Broker Summary

The broker summary table shows aggregate buy/sell data per broker over a date range. Toggle between Gross (total volume on each side) and Net (buy minus sell). Use the date picker to adjust the analysis period. Each row shows the broker code, their buy and sell values, lots, and net position.

Broker Activity Calendar

A calendar heatmap showing daily broker activity patterns — SMT score, concentration, and direction signals for each trading day. Hover over a day to see detailed metrics. This helps you spot patterns over time, like sustained accumulation periods or sudden shifts in broker behavior.

Broker Distribution (Sankey)

The Sankey diagram visualizes the flow of trading volume between brokers. Buyers flow from the left into the stock, and from the stock out to sellers on the right. Thicker flows mean larger volumes. Toggle between Gross/Net and Volume/Value to see different perspectives.

Broker Flow Overlay

A combined price candlestick chart with cumulative broker flow lines overlaid. By default, it shows the top 3 net buyers (solid lines) and top 3 net sellers (dashed lines). Each line represents the cumulative net flow of a specific broker — rising means net buying, falling means net selling.

Broker Flow OverlayFlowPricePriceBuy FlowSell Flow
Tip
When buyer flow lines are rising alongside the price, it confirms accumulation. When buyer flow diverges from price (flow rising, price flat), watch for potential upcoming moves.

Disclaimer

Important

All data, analysis, scores, signals, and verdicts on AlphaFlow are for educational and informational purposes only. Nothing on this platform constitutes financial advice, a recommendation, or an offer to buy or sell any security. Always Do Your Own Research (DYOR) before making any investment decision. Past performance does not guarantee future results.

Trading involves substantial risk of loss. You are solely responsible for your own trading and investment decisions. AlphaFlow and its creators shall not be liable for any losses you incur.

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