π CYBERTRADER USER GUIDE
Master Every Feature & Indicator in Your Dashboard
How CyberTrader Works (High-Level)
CyberTrader is a confirmation layer designed to sit next to your charts. It summarizes market structure into fast, readable signals so you can validate what you already see on TradingView.
Core idea: confidence increases when independent layers align (trend, momentum, participation, sentiment, and volatility). If layers conflict, reduce size or wait.
Timeframes and alignment
- Match your timeframe: Use the Sidekick signals that match your trade horizon (intraday for scalps, higher timeframes for swings).
- Top-down context: Start with higher timeframe bias, then drill into lower timeframe entries to avoid fighting the trend.
- Cadence awareness: Cards refresh on fixed intervals, so the freshest signals should align with your chartβs latest candle.
Why it builds confidence
- Confluence: When multiple cards agree, the odds of a clean move improve.
- Risk framing: Volatility and regime context help decide if a setup is a trend play or a quick scalp.
- Signal hygiene: Alerts surface opportunities, but entries are always confirmed on your chart.
Protection note: Exact scoring methods, thresholds, and alert logic are proprietary. This guide focuses on interpretation and workflow without exposing internal logic.
1. Fear/Greed Gauge ALL TIERS
The Fear/Greed gauge gives you an instant read on market sentiment from 0 (Extreme Fear) to 100 (Extreme Greed).
π What It Measures
The gauge blends multiple market signals to estimate overall sentiment:
- Price Momentum: Rate of change across multiple timeframes to identify acceleration or deceleration
- Intraday Position: Where price sits relative to the day's high/low range (buying near highs = greed, selling near lows = fear)
- Distance from Open: How far price has traveled from market open, indicating conviction
- Trend Alignment: Agreement between short-term and long-term trend indicators (EMAs, moving averages)
- Volume Behavior: Volume spikes during moves indicate institutional participation vs. retail noise
- Volatility Context: Higher volatility often accompanies fear, lower volatility suggests complacency
These factors are dynamically weighted based on market conditions (ex: volume matters more on heavy tape days; trend alignment matters more during consolidation).
π― How to Use It
Fear (0-30): Market is scared. Prices down, volatility high. Potential buy opportunity if you're contrarian.
Neutral (31-69): Market is balanced. Wait for clearer signals.
Greed (70-100): Market is euphoric. Prices up, confidence high. Potential sell opportunity or profit-taking zone.
π Example Trade:
SPY showing Fear score of 22 (red gauge). Price near day's low. This could be a buy-the-dip opportunity if you believe in the overall trend. Wait for score to climb back above 50 to confirm reversal.
π‘ Pro Tip: Don't trade Fear/Greed in isolation. Confirm with VWAP, RSI, and volume signals for higher probability setups.
2. VWAP (Volume-Weighted Average Price) ALL TIERS
VWAP is the average price weighted by volume. Think of it as the "fair value" line that institutions use.
π What It Tells You
- Above VWAP: Buyers are in control, bullish sentiment
- Below VWAP: Sellers are in control, bearish sentiment
- At VWAP: Equilibrium - decision point
π― Trading Strategies
VWAP as Support/Resistance:
Price often bounces off VWAP like a magnet. If price is above VWAP and pulls back to it, that's a potential buy entry. If price is below VWAP and rallies to it, that's a potential short entry.
π Example Trade:
TSLA opens at $250, VWAP is $252. Price dips to $251.80 (near VWAP), volume increases. You enter long at $252, targeting $255. VWAP held as support.
π‘ Pro Tip: VWAP resets daily at market open (9:30am ET). It's most reliable in the first 2 hours of trading when volume is highest.
3. EMA (Exponential Moving Average) PRO+
EMA tracks price trends by giving more weight to recent prices. CyberTrader shows multiple timeframes (5min, 15min, 1hr).
π What It Tells You
- Price above EMA: Uptrend, bullish momentum
- Price below EMA: Downtrend, bearish momentum
- EMA slope: Steeper angle = stronger trend
π― Multi-Timeframe Analysis (Pro/Elite)
Trend Alignment:
When all timeframes agree (all bullish or all bearish), you have a high-conviction setup. When timeframes conflict, wait for clarity.
π Example Setup:
5min EMA: Bullish β
15min EMA: Bullish β
1hr EMA: Bullish β
Signal: Strong uptrend confirmed. Look for entries on pullbacks.
4. MACD (Moving Average Convergence Divergence) PRO+
MACD shows momentum and trend changes through the relationship between two moving averages.
π What to Watch For
- Bullish Crossover: MACD line crosses ABOVE signal line β Buy signal
- Bearish Crossover: MACD line crosses BELOW signal line β Sell signal
- Divergence: Price makes new high but MACD doesn't = weakening trend
π Example Signal:
NVDA price pulls back, but MACD histogram is shrinking (less red). Then MACD crosses above signal line. Enter long on the crossover confirmation.
β οΈ Warning: MACD lags price action. Don't use it alone - confirm with price action and volume.
5. RSI (Relative Strength Index) PRO+
RSI measures momentum on a scale of 0-100, showing if a stock is overbought or oversold.
π Key Levels
- RSI > 70: Overbought (potential pullback coming)
- RSI < 30: Oversold (potential bounce coming)
- RSI 40-60: Neutral zone
π― Trading Strategies
Oversold Bounce Play:
Wait for RSI to drop below 30, then look for price to start climbing while RSI turns up. Enter when RSI crosses back above 30.
π Example Trade:
AMD drops hard, RSI hits 25 (oversold). Price finds support at $140. RSI turns up and crosses 30. You enter long at $141 targeting $145.
π‘ Pro Tip: In strong trends, RSI can stay overbought (>70) or oversold (<30) for extended periods. Don't fight the trend just because RSI is extreme.
6. Opening Range Breakout (ORB) PRO+
The Opening Range is the high/low established in the first 15-30 minutes after market open (9:30am ET).
π Why It Matters
The first 30 minutes set the tone for the day. Breakouts above the opening range high often lead to strong uptrends. Breakdowns below the opening range low often lead to continued selling.
π― How to Trade ORB
Bullish ORB:
1. Wait for first 30 minutes to define the range
2. Price breaks ABOVE the opening range high
3. Enter long on the breakout
4. Stop loss below the opening range low
5. Target: 2x the opening range height
π Example Trade:
SPY 9:30am: $450
SPY 10:00am Range: $449.50 - $451.00 (Opening Range)
SPY 10:15am: Breaks above $451 on volume β Buy signal
Stop: $449.50 | Target: $452.50
β οΈ Fakeout Alert: Not every breakout succeeds. Use volume confirmation (high volume on breakout = stronger signal) and watch for quick reversals.
7. Signal Alerts - Icon Decoder PRO+
CyberTrader displays real-time signal icons based on technical conditions. Here's what each one means:
π Signal Icons Explained
- π VOLβ (Volume Spike) - Flags unusual volume compared to recent activity. Often signals institutional participation or news-driven moves.
- β‘ BRK (Breakout) - Marks price breaking through a key level (support/resistance). Best used with volume confirmation.
- π© FLAG (Bull Flag Pattern) - Highlights tight consolidation after a strong move, which can precede continuation.
- π OB (Overbought) - Indicates stretched momentum. Use for profitβtaking or tighter risk management.
- π OS (Oversold) - Indicates stretched downside momentum. Useful for bounce setups when paired with support.
- β οΈ DIV (RSI Divergence) - Price makes higher highs while RSI makes lower highs (bearish) or price makes lower lows while RSI makes higher lows (bullish). Uses the same 5m RSI already loaded for the dashboard; hidden when no divergence. Flags early reversal riskβtighten stops on bearish DIV; look for basing on bullish DIV.
π‘ Combining Signals: The best setups have multiple signals. Example: VOLβ + BRK + Bullish EMA = High-probability long entry.
8. SPY/QQQ Divergence Detection ALL TIERS
CyberTrader compares SPY (S&P 500) and QQQ (Nasdaq) to detect market divergences.
π What Divergence Means
- SPY up, QQQ down: Tech weakness while broad market holds. Defensive rotation.
- SPY down, QQQ up: Tech strength despite market weakness. Growth leadership.
- Both aligned: Clear market direction (bullish or bearish).
π Example Scenario:
SPY: +0.8% (bullish)
QQQ: -0.5% (bearish)
Interpretation: Tech sector weakness. Avoid tech stocks, focus on SPY sectors (energy, financials, healthcare).
9. Sentiment Radar (Social Media Intelligence) ELITE
Elite tier aggregates social sentiment signals to find stocks with rising buzz.
π What It Captures
Sentiment Radar highlights where crowd attention is building so you can quickly spot whatβs getting traction.
π― Heat Score System
Heat Score: Higher heat means stronger, more consistent buzz. Use it as a watchlist signal, then confirm with price action.
π― How to Use Sentiment Radar
π Example Play:
Sentiment Radar shows PLTR with high Heat Score and strong cross-platform validation.
Action: Add to watchlist. Wait for technical entry (VWAP support, ORB breakout, etc.). Don't chase - let price come to you.
β οΈ Hype vs. Reality: High sentiment can signal FOMO tops. If a stock is trending everywhere with extreme heat, it may already be overextended. Look for early-stage trends for better risk/reward.
10. Congressional Trading Tracker ELITE COMING SOON
Track U.S. Congress members' stock trades. Elected officials often have access to non-public information.
π What You See
- Transaction Type: Purchase, Sale, Exchange
- Amount Range: $1k-$15k, $15k-$50k, $50k-$100k, etc.
- Filing Date: When the trade was disclosed (up to 45 days after transaction)
- Representative Name: Which Congress member made the trade
π― How to Use It
Follow the Money:
If multiple Congress members buy the same stock in a short timeframe, it may indicate positive sector outlook or upcoming legislation.
If insiders are selling, be cautious about entering new positions.
π Example Insight:
3 Congress members bought NVDA in the past 30 days (AI/tech focus).
Interpretation: Legislative tailwinds for AI may be coming. Consider NVDA for long-term holds.
β οΈ Delayed Data: Congressional trades are reported with a lag (up to 45 days). Use this as confirmation, not a timing signal.
New in V4.7+ (Data & Indicators)
Data Updates
- Risk gauge and market overview are tuned for clarity and stability during fast sessions.
- Top Movers highlights large, mid, and small caps with gap and volume context for quick scanning.
Performance Tips
- Background widgets update less frequently than core trading tools to keep the UI smooth.
- If a widget briefly shows stale values, wait for the next update cycle.
Custom Ticker Alerts (Elite)
Eliteβs Custom Ticker Lookup includes a lightweight alert engine that checks conditions on a short interval to keep signals timely.
- Price thresholds: Optional +% / -% triggers with 0.1% increments (range 0.1β50%). Leave blank for strategy-only alerts.
- Strategy toggles: RSI 14 (fires at β€30 or β₯70), VWAP cross (up/down on 5m), EMA 9/21 cross on 60m candles for smoother bias. Any can run without % thresholds.
- Cadence & limits: Up to 3 tickers; checks on a short interval with a per-trigger cooldown to avoid spam.
- Storage: Alerts persist locally in the browser (per device). Remove/replace to stay under the 3-alert cap.
- Why it fires: Toasts label the trigger type (Price +%, Price -%, VWAP, RSI, EMA) so you immediately know what condition hit.
VWAP-only example: Type the ticker, leave both % boxes empty, check VWAP, click Add Alert. Youβll get a VWAP-cross alert without any price % requirement.
11. Regime & Volatility ELITE
Intraday regime classifier (trend vs range) plus volatility state, sharing the Day Trading Dashboard ticker and bias-colored pill.
- Trend/Range: Trade with the regime; trend up/down = pullbacks to VWAP/OR in trend direction; range = fade extremes (VWAP bands, OR highs/lows).
- Vol state: CALM = normal size; EXPANDING/ELEVATED = tighten stops, partial faster, size down.
- RΒ² + slope: High RΒ² + slope = stay with bias; falling RΒ² = chop risk, favor mean reversion.
- Linkage: Ticker pill turns green/red with dashboard bias to show alignment.
12. Chrono-Edge Intraday Seasonality ELITE
Time-of-day heatmap that groups the trading session into 30-minute blocks and shows how each block has behaved over the last ~10 regular sessions.
- Inputs: Reuses recent 15m/30m candles already loaded in the dashboard.
- Calculations: For each time slot (e.g., 9:30, 10:00 β¦ 15:30) compute average high-low range (volatility), average open-close delta (direction), win-rate (% up closes), and sample count.
- Visualization: Color = average range (cyan/gold = calmer, magenta = high range). Arrows: green β² = average up close; pink βΌ = average down close. Tooltip shows $/%, win-rate, samples.
- Behavior: Auto-recalculates when you change the Day Trading Dashboard ticker; manual refresh available on the card.
- Usage: Favor entries in high-range blocks that align with your dashboard bias (β² for longs, βΌ for shorts). Downsize or skip low-sample blocks.
- Fallback: If fewer than ~5 sessions exist, card shows an βinsufficient samplesβ notice instead of stale data.
13. Gap Radar ELITE
Pre-market/overnight context for the active dashboard ticker: gap % vs prior close, fill odds, overnight range, and yesterdayβs H/L.
- Gap headline: Badge + bias text suggest continuation vs fade; confirm with dashboard bias/pill color.
- Fill odds: Estimated from gap size vs overnight range; small gaps favor fills, large gaps favor trading with bias.
- Structure: Overnight range and prior H/L mark reaction zones; align entries with VWAP/OR levels.
- Linkage: Shares the dashboard ticker; pill flips green/red with bias for quick alignment check.
14. Squeeze Radar ELITE
Tracks volatility compression (TTM-style) so you can stalk breakouts. Uses 5-minute candles with Bollinger Bands (20, 2.0) inside Keltner Channels (20 EMA, 1.5 ATR). When BB are inside KC, the card shows COILED with an energy bar.
βοΈ Logic & Data
- Squeeze check: BB inside KC = COILED.
- Energy: (KC width β BB width) / KC width β higher = tighter coil.
- Bias: 10-bar linear regression slope on closes (LONG if slope > 0, SHORT if slope < 0).
- Default Pool: Low-load set (Top Movers + Sentiment Radar symbols + SPY/QQQ/IWM), refreshed every 15 minutes.
- Full Scan: Optional button runs a larger universe on-demand and tags the timestamp with β(Full Scan)β.
π§ How to Use
- COILED badge: Indicates compression; use alongside your main bias before acting.
- Energy bar: Sort by highest energy to prioritize which tickers to monitor.
- Default vs Full: Stay on default for light load; run Full Scan when hunting for more setups.
15. Short Squeeze Analyzer (SQUEEZE Tab) ELITE
What It Does:
The SQUEEZE tab in the Day Trading Dashboard analyzes short squeeze potential for any ticker. It estimates short interest %, days to cover,
borrow fees, and institutional flow to calculate a squeeze probability score (0-100%). Perfect for identifying potential squeeze setups before they explode.
π Metrics Explained
- Squeeze Probability (0-100%): Multi-factor score combining all squeeze indicators. 70%+ = High Risk (for shorts), 40-70% = Moderate, <40% = Low
- Short Interest % (~EST): Percentage of float sold short. Estimated from volume patterns. Higher = more squeeze fuel
- Days to Cover (~EST): How many days of average volume needed for shorts to close. >5 days = very risky for shorts
- Borrow Fee (~EST): Annual cost to short the stock. >10% = hard to borrow (squeeze likely), >20% = extreme
- Short Ratio: Short interest / float. Higher = more concentrated short position
- Shares Outstanding & Float: Total shares and tradeable shares. Lower float = easier to squeeze
- Institutional Activity: NET BUYING vs NET SELLING based on price momentum
βοΈ How It Works
- Data Source: Uses recent 30βday candle data already available in the dashboard.
- Estimation Method: Analyzes volume ratios and price momentum to estimate short metrics
- Scoring Algorithm: Short interest (35pts) + Days to cover (25pts) + Borrow fees (20pts) + Momentum (10pts) + Volume (10pts)
- Known Tickers: AAPL, TSLA, NVDA, SPY, QQQ use real shares outstanding; others estimated at 100M
π§ How to Use
- Access: Type any ticker in Day-Trading Dashboard input β Click the π SQUEEZE tab (4th tab after ANALYSIS, PRESSURE, LIQUIDITY)
- Auto-Trigger: Analysis runs automatically when you switch to the SQUEEZE tab
- Refresh: Click the REFRESH button to re-run analysis with the latest available data
- High Squeeze Score (70%+): Look for entry on pullbacks if bullish, or avoid shorting
- Classic Squeeze Setup: High short % + Low float + Rising price + Volume spike
- Risk Assessment: Use borrow fee + days to cover to gauge urgency. >10% fee + >5 days = critical squeeze risk
- Institutional Flow: NET BUYING + high short interest = squeeze catalyst building
- Risk Indicators: π΄ RED (>20% short, >5 DTC, >10% fee) | π‘ YELLOW (10-20% short, 2-5 DTC, 5-10% fee) | π’ GREEN (<10% short, <2 DTC, <5% fee)
β οΈ IMPORTANT: All squeeze data is estimated using volume/price patterns. Use this for educational understanding of squeeze mechanics, not as financial advice.
16. Smart Money Radar - Institutional Flow Tracker ELITE
What It Does:
Smart Money Radar tracks institutional money flows in real-time across major index ETFs (SPY/QQQ/IWM) and 8 sector funds.
When big money rotates from one sector to another (e.g., selling Tech $1B, buying Energy $1.2B), you get instant alerts
before most retail traders notice. The Smart Money Score (0-100) aggregates all flows into a single institutional sentiment indicator.
π Components Explained
1. Major Index Flows
Shows SPY (S&P 500), QQQ (Nasdaq 100), and IWM (Russell 2000) with three metrics per index:
- Dollar Flow: Approximated money flow in/out (e.g., "+$2.4B" or "-$1.1B")
- Buying Pressure Bar: Visual 0-100% scale (higher = more buying)
- Direction: "INFLOW" (βοΈ green) or "OUTFLOW" (βοΈ red)
π‘ Interpretation: If SPY shows 82% buying pressure with +$2.4B inflow, institutions are aggressively
buying the S&P 500. If QQQ shows 34% with -$1.1B outflow, tech is being sold. This divergence signals sector rotation.
2. Sector Rotation Heatmap
Displays 8 sector ETFs with flow data:
| Ticker |
Sector |
What It Tracks |
| XLK |
Technology |
Apple, Microsoft, Nvidia, etc. |
| XLF |
Finance |
Banks, insurance, investment firms |
| XLE |
Energy |
Oil, gas, energy companies |
| XLV |
Healthcare |
Pharmaceuticals, biotech, medical devices |
| XLY |
Consumer Discretionary |
Amazon, Tesla, restaurants, retail |
| XLP |
Consumer Staples |
Food, beverages, household products |
| XLI |
Industrial |
Manufacturing, aerospace, construction |
| XLU |
Utilities |
Electric, gas, water utilities |
π‘ Pro Tip: Toggle between 1D and 5D views to spot both intraday momentum and weekly trends.
Great for understanding both short-term and intermediate-term institutional flows.
3. Rotation Alerts (π¨)
Automatic alerts trigger when institutional money shifts between sectors with $500M+ threshold. Alert shows:
- From/To Sectors: "Money leaving Tech β Energy"
- Flow Amounts: Exact inflow/outflow dollar amounts
- Strength: "STRONG" ($500M-$2B) or "EXTREME" ($2B+)
- Visual: Pulsing pink/gold gradient box to catch attention
β οΈ Trading Signal: When you see a rotation alert, institutions are making a major bet. Consider:
- Pair trade: SHORT the outflow sector / LONG the inflow sector
- Momentum play: Go long the inflow sector for multi-day ride
- Hedge: If your portfolio is heavy in outflow sector, reduce exposure
4. Smart Money Score (0-100)
Aggregated institutional sentiment calculated as weighted average:
- SPY: 40% weight (largest market cap)
- QQQ: 30% weight (tech-heavy influence)
- IWM: 30% weight (small-cap risk appetite)
| Score Range |
Label |
Color |
Interpretation |
| 60-100 |
Bullish |
Green |
Institutions buying aggressively |
| 40-60 |
Neutral |
Yellow |
Mixed signals, wait for clarity |
| 0-40 |
Bearish |
Red |
Institutions selling / risk-off |
Update Behavior
Smart Money Radar refreshes periodically during market hours and uses smoothing to avoid reacting to singleβtick noise.
π Advanced Trading Strategies
Strategy 1: Divergence Scalping
Setup: SPY shows strong buying (80%+) but QQQ shows selling (30%)
Interpretation: Tech is dragging down the broader market
Trade:
- SHORT QQQ (weakness in tech)
- LONG SPY or non-tech sectors showing inflows
- Hold until flows converge (SPY weakens or QQQ strengthens)
Exit Signal: When both indexes show similar buying pressure (within 15%) or rotation alert appears
Strategy 2: Sector Rotation Momentum
Setup: Rotation alert shows "Money leaving XLK β XLE" with $1B+ flow
Interpretation: Institutions making major sector bet (Tech β Energy)
Trade:
- Go LONG XLE (ride the inflow momentum)
- Optional: Pair trade SHORT XLK / LONG XLE for delta-neutral exposure
- Look for individual stocks in energy sector (click XLE β switch to stocks like XOM, CVX)
Exit Signal: Flow reverses or rotation alert shows new sector pair
Strategy 3: Smart Money Confirmation
Setup: Your Day Trading Widget shows stock breaking out + Smart Money Score above 70
Interpretation: Both individual stock AND institutions are bullish (double confirmation)
Trade:
- Higher confidence entry on the breakout
- Larger position size (institutions have your back)
- If Smart Money Score conflicts with your stock (score 30 but stock breaking up), reduce size or wait
Risk Management: If score drops below 40 while in trade, tighten stops
Strategy 4: Weekend Preparation
Setup: Review the last market sessionβs flow data on Sunday evening
Analysis:
- Which sectors had strongest inflows Friday? (likely to continue Monday)
- Did Smart Money Score close bullish or bearish? (sets Monday tone)
- Any rotation alerts Friday afternoon? (rotation often continues into next week)
Action: Create watchlist of stocks in strongest sectors for Monday open
β οΈ Limitations & Caveats
- Synthetic Approximation: Dollar flow is estimated (not actual institutional order flow data)
- Volume Lag: Finnhub free tier may have 1-2 minute delay vs real-time
- ETF Proxy: Sector flows are approximations - individual stocks may behave differently
- False Signals: Not every rotation alert leads to multi-day trend (use with other confirmation)
- Weekend Data: Cached Friday data doesn't reflect weekend news/events
- API Limits: Manual refresh cooldown prevents spam (2-min minimum between calls)
π‘ Best Practices
- Use Smart Money Radar as confirmation, not standalone signal
- Combine with your Day Trading Widget for individual stock entry/exit timing
- Pay attention to magnitude of flows (> $1B flows are more reliable)
- Watch for divergences between indexes (SPY vs QQQ) - often profitable
- Use 1D view for intraday scalping, 5D view for swing trade context
- Review sector flows on Sunday to plan your watchlist for Monday's open
16. FMP Institutional Intel Suite (v6.0) ELITE
π WHAT'S NEW:
CyberTrader Elite v6.0 introduces 6 institutional-grade widgets powered by Financial Modeling Prep (FMP) API.
Track pre-market gappers, Wall Street analyst ratings, earnings surprises, institutional holdings (13F filings), dividends calendar,
and run custom stock screensβall with intelligent 24-hour caching to protect your API quota across Railway deployments.
π FMP API Architecture
- Endpoints: All widgets use FMP /stable/ endpoints (2026+ future-proof architecture)
- Caching Strategy: 24-hour localStorage cache reduces API calls from ~300/min potential to ~6/day per widget
- Refresh Intervals: Optimized refresh rates (10min, 30min, 6hr) based on data volatility and API limits
- Rate Limits: FMP Premium plan provides 750 API calls/minute, 50GB bandwidth/month
- Data Coverage: Real-time US market data, 5 years historical, institutional filings (13F/insider trading)
1. Pre-Market Gappers π
What It Does: Tracks stocks gapping 3%+ before market open (9:30am ET). Identifies high-volatility pre-market movers
for gap-and-go or fade setups.
Key Features
- Filters: ALL GAPS (both directions), GAINERS (gapping up), LOSERS (gapping down)
- Data Points: Symbol, current price, pre-market change %, pre-market volume
- Refresh: Every 10 minutes during pre-market hours (4:00am-9:30am ET)
- Cache: 24-hour TTL (prevents redundant API calls on page refresh)
- FMP Endpoint: /stable/biggest-gainers and /stable/biggest-losers
π Example Trade:
Pre-Market Gappers shows TSLA gapping up +4.2% on 2M volume at 7:00am ET.
Action: Add to watchlist. Wait for 9:30am open. If gap holds above opening range high on volume β enter long for gap continuation.
If gap fills in first 15 minutes β fade the move (short near opening range high).
2. Analyst Ratings Tracker π
What It Does: Real-time Wall Street analyst upgrades/downgrades with price targets. Shows institutional sentiment
changes before they hit mainstream media.
Key Features
- Filters: ALL RATINGS (last 100), UPGRADES (buy signals), DOWNGRADES (sell signals)
- Data Points: Symbol, analyst firm, rating change (Upgrade/Downgrade), new price target, date
- Refresh: Every 30 minutes (ratings aren't time-sensitive like price action)
- Cache: 24-hour TTL
- FMP Endpoint: /stable/upgrades-downgrades-consensus-bulk
π Example Signal:
Analyst Ratings Tracker shows 3 upgrades for NVDA in past 24 hours (Morgan Stanley: $180 β $210, Goldman: $175 β $200, JPM: $170 β $195).
Interpretation: Bullish institutional consensus building. Look for technical entry (pullback to VWAP, ORB breakout) to ride momentum.
3. Earnings Surprises π°
What It Does: Post-earnings analysis for mega-cap stocks (AAPL, MSFT, GOOGL, AMZN, NVDA, TSLA, META, NFLX, AMD, CRM).
Shows actual EPS vs estimate, beat/miss status, and earnings date.
Key Features
- Filters: ALL (10 tickers), BEATS (exceeded estimates), MISSES (missed estimates)
- Data Points: Symbol, earnings date, actual EPS, estimated EPS, surprise %, beat/miss status
- Refresh: Every 6 hours (earnings are quarterly events, not time-sensitive)
- Cache: 24-hour TTL
- FMP Endpoint: /stable/earnings-surprises-bulk
π Example Play:
Earnings Surprises shows AAPL beat estimates by +8.2% (actual $2.15 vs est $1.98) on last quarterly report.
Action: Watch for post-earnings drift (PED) over next 7-14 days. Stocks that beat often continue upward trend as institutions re-rate.
4. Advanced Stock Screener π
What It Does: Custom stock screening with filters for price range, volume, % change, and market cap.
Includes 3 presets (MOMENTUM, PENNY STOCKS, BREAKOUTS) for quick scanning.
Key Features
- Custom Filters: Price ($1-$500), Volume (1M-100M+), % Change (-50% to +50%), Market Cap ($10M-$1T+)
- Presets:
- MOMENTUM: Price $10-$500, Volume 10M+, % Change +3% to +50%, Market Cap $1B+
- PENNY STOCKS: Price $1-$5, Volume 5M+, % Change +5% to +50%, Market Cap $10M-$500M
- BREAKOUTS: Price $5-$100, Volume 5M+, % Change +2% to +20%, Market Cap $500M+
- Trigger: User-triggered (RUN SCAN button) - no auto-refresh to conserve API quota
- Cache: No cache (on-demand scans)
- FMP Endpoint: /stable/company-screener
π‘ Pro Tip: Run MOMENTUM preset during first hour of trading (9:30-10:30am ET) to find stocks with strong institutional buying.
Then filter results by cross-referencing with Sentiment Radar and Analyst Ratings Tracker for multi-source confirmation.
5. 13F Institutional Tracker π¦
What It Does: Shows top 20 institutional holders for any ticker (hedge funds, mutual funds, pensions).
13F filings reveal what the "smart money" owns. Perfect for following institutional positioning.
Key Features
- Lookup: User-triggered (enter ticker, click LOOKUP button)
- Data Points: Institution name, shares held, portfolio weight %, filing date, change from prior quarter
- Cache: 24-hour per-ticker cache (prevents redundant lookups for same ticker)
- Top Institutions: Shows top 20 by position size (e.g., Vanguard, BlackRock, Fidelity, ARK Invest)
- FMP Endpoint: /stable/institutional-ownership (v4 API)
π Example Insight:
13F Tracker shows PLTR: ARK Invest increased position by +2.3M shares (12% of portfolio), Vanguard +1.8M shares, BlackRock +1.2M shares.
Interpretation: Major institutions accumulating aggressively. Bullish signal for multi-week swing trade.
Combine with Analyst Ratings Tracker for double confirmation.
β οΈ Delayed Data: 13F filings are reported quarterly with a 45-day lag. Use this for trend confirmation, not timing entries.
If institutions were buying 2 months ago and stock is breaking out now, it validates the move.
6. Dividends Calendar π΅
What It Does: Shows dividend-paying stocks with ex-dividend dates in next 30 days.
Useful for "dividend capture" plays (buy before ex-date, sell after) and identifying pre-dividend pump setups.
Key Features
- Data Points: Symbol, company name, ex-dividend date, payment date, dividend amount, yield %
- Timeframe: Next 30 days from current date
- Refresh: Every 6 hours (dividend dates are planned events, not volatile)
- Cache: 24-hour TTL
- FMP Endpoint: /stable/dividends-calendar
π Example Play:
Dividends Calendar shows AAPL ex-dividend date in 3 days ($0.25/share, 0.5% yield).
Dividend Capture Strategy: Buy AAPL 2 days before ex-date β Hold through ex-date β Sell 1-2 days after (capture dividend + potential pre-ex pump).
Risk: Stock may drop by dividend amount on ex-date (e.g., $180 β $179.75). Only works if you believe stock will recover quickly.
π‘ Pre-Dividend Pump Play: Stocks often see buying pressure 3-5 days before ex-dividend date as yield-seeking investors pile in.
Look for volume spikes + price strength leading into ex-date, then take profits before the ex-date drop.
π― How to Use the FMP Suite Together
Multi-Widget Confirmation Strategy
Morning Routine (8:00am ET):
- Pre-Market Gappers: Identify stocks gapping 3%+ β Add to watchlist
- Analyst Ratings Tracker: Check if any gappers have recent upgrades β Bullish confirmation
- 13F Institutional Tracker: Lookup top gappers β See if institutions are accumulating β Multi-week trend signal
- Earnings Surprises: Check if gapper recently beat earnings β Post-earnings drift (PED) play
- Stock Screener: Run MOMENTUM preset β Find additional high-volume movers not on gappers list
Example Multi-Widget Signal:
- β
Pre-Market Gappers: NVDA +4.2%
- β
Analyst Ratings: 3 upgrades past 24 hours
- β
13F Tracker: ARK Invest increased position by 2.3M shares
- β
Earnings Surprises: Beat estimates by +8.2% last quarter
- Signal Strength: 4/4 widgets confirm bullish bias β High-conviction long entry at 9:30am ORB breakout
β οΈ API Quota Management
- 24-Hour Cache: All auto-refresh widgets use localStorage cache with 24-hour TTL
- Manual Refresh: Each widget has a refresh button for on-demand updates (respects cache)
- Railway Deployment: Cache persists across browser sessions to prevent quota exhaustion
- Daily Usage Estimate: ~30-40 API calls/day (well under Premium 750 calls/minute limit)
- Stock Screener & 13F: User-triggered (no cache) - use strategically to avoid quota burn
π‘ Best Practices for FMP Suite
- Layered Confirmation: Never trade on single widget signal - use 2-3 widgets for confirmation
- Time-of-Day Awareness: Pre-Market Gappers most useful 7:00-9:30am ET; Analyst Ratings all-day; Earnings Surprises for swing ideas
- Combine with Technical Analysis: FMP data gives you the "what" (institutional activity), your chart gives you the "when" (entry timing)
- Cross-Reference with Sentiment Radar: If institutional data (13F/Analyst Ratings) conflicts with social sentiment, fade the hype
- Weekend Planning: Review Analyst Ratings + Earnings Surprises + Dividends Calendar on Sunday to build Monday watchlist
17. Trading Tips & Best Practices
β
Golden Rules
- Never trade on one indicator alone. Confirm signals across multiple tools (Fear/Greed + VWAP + Volume).
- Respect risk management. Use stop losses. Never risk more than 1-2% of your account per trade.
- Best trading times: 9:30-11:30am ET (high volume) and 3:00-4:00pm ET (closing momentum).
- Avoid lunch chop: 11:30am-2:00pm ET often has low volume and choppy price action.
- Start small. Paper trade or use small positions until you're consistently profitable.
- Journal your trades. Use the Trade Journal feature (Lite/Pro/Elite) to track what works and what doesn't.
π Pre-Market Checklist
- Check Economic Calendar (FOMC, CPI, earnings) for potential volatility
- Review SPY/QQQ pre-market movement and sentiment
- Identify 2-3 stocks from Sentiment Radar or your watchlist
- Set alerts for key levels (VWAP, support, resistance)
- Define your risk BEFORE entering any trade
π― Recommended Dashboard Setup
For Scalpers (intraday options, quick trades):
- SPY or QQQ on 5min chart
- Watch VWAP, Fear/Greed, and Volume signals
- Use ORB for first-hour breakouts
For Swing Traders (multi-day holds):
- Use 1hr and 4hr EMA trends
- Check Sentiment Radar for emerging trends
- Confirm with MACD and RSI on daily chart
π‘ Community Support: Join our Discord for daily trade ideas, chart analysis, and accountability. Free members get educational content, Elite members get premium signals and alerts.
Β© 2025 NeonLabs Interactive. All Rights Reserved.
Educational use only. Not financial advice. Trade at your own risk. No guarantees; past or simulated performance does not guarantee future results.