If you've used the Thrive Power Score (TPS), you already understand that not every asset deserves your attention. TPS quantifies setup quality. It tells you whether the conditions are worth trading at all. A TPS of 80+ means the stars are aligning. A TPS of 25 means you're forcing a trade that doesn't exist.
But TPS is deliberately direction-agnostic. A TPS of 85 tells you the setup is strong, but it doesn't tell you whether to go long or short. The strength could be in either direction. A strong bearish setup scores just as high as a strong bullish one, because TPS measures the quality of the opportunity, not its orientation.
That's where TAS takes over.
Think of it this way: TPS is the filter. TAS is the compass. You use TPS to decide whether to trade. You use TAS to decide which direction to trade. Together, they eliminate the two most common mistakes traders make: trading low-quality setups (TPS solves this) and trading the wrong direction on high-quality setups (TAS solves this).
The combined workflow is straightforward. Scan for assets with TPS above your threshold. Then check the TAS reading. If TPS is high and TAS is strongly directional, you have a high-conviction trade with a clear direction. If TPS is high but TAS is near zero, you have a strong setup with no directional clarity, which means you wait. If TPS is low, you skip entirely regardless of what TAS says.
This is the difference between data-driven trading and indicator-stacking. You're not layering signals hoping they agree. You're using two purpose-built metrics that answer fundamentally different questions and only acting when both answers align.
TAS readings map to five labels that translate the numerical score into actionable bias:
| Label |
TAS Range |
Interpretation |
Suggested Action |
| Strong Long |
+70 to +100 |
Overwhelming bullish asymmetry |
Maximum long exposure within risk limits |
| Long |
+30 to +69 |
Meaningful bullish edge |
Standard long position, moderate sizing |
| Neutral |
-29 to +29 |
No clear directional edge |
Flat or reduced exposure |
| Short |
-69 to -30 |
Meaningful bearish edge |
Standard short position, moderate sizing |
| Strong Short |
-100 to -70 |
Overwhelming bearish asymmetry |
Maximum short exposure within risk limits |
The labels exist to prevent over-analysis. Traders love to obsess over whether a TAS of +52 is meaningfully different from a TAS of +48. It's not. Both are "Long." Both suggest the same action. The label system forces discrete decision-making, which is what execution demands.
A few nuances:** Neutral is not "do nothing forever."** It means the current signal set doesn't support a directional bet. This can change quickly. Neutral is a temporary state that often resolves into a strong reading once a catalyst triggers alignment across the signal components.
Strong readings are rare. TAS doesn't hand out +85 or -90 often. When it does, the confluence across all six components is exceptional. These are the trades you size up, not the trades you ignore because the number seems extreme.
The zero line matters. A TAS of +5 and a TAS of -5 are both Neutral, but they're on different sides of zero. When TAS has been hovering just above zero and flips to just below, it's worth watching. The transition from marginally bullish to marginally bearish, even within the Neutral range, often precedes a stronger move.
TAS synthesizes six independent signal components. Each captures a different dimension of directional pressure. No single component can dominate the score. The architecture ensures that TAS only reaches extreme readings when multiple independent lines of evidence converge.
Perpetual swap funding rates are the cost of holding a position. When funding is positive, longs pay shorts. When negative, shorts pay longs. Simple enough on a single exchange.
But TAS doesn't look at funding on one exchange. It analyzes the asymmetry of funding rates across multiple exchanges simultaneously. When funding diverges significantly, with one exchange showing extremely positive rates while another shows neutral or negative, it reveals an imbalance that arbitrage forces will resolve. The direction of that resolution creates directional pressure.
Extreme funding on a single exchange is noise. Divergent funding across exchanges is signal.
Liquidation clusters act as magnets for price. When there's a large concentration of stop-losses and liquidation levels on one side of the current price, market makers and large participants have an incentive to push price toward that cluster because the forced buying or selling from liquidations creates profitable order flow.
TAS maps the liquidation landscape and identifies which side has the larger cluster. If there's significantly more liquidation potential above the current price than below, the magnet pulls upward, contributing a bullish signal. If the cluster is below, the magnet pulls downward.
This component captures the mechanical reality that markets gravitate toward liquidity. Price doesn't move randomly. It moves toward the pools of forced activity that benefit the participants with the capital to push it there.
This is the crown jewel of the TAS architecture.
Smart money and retail traders frequently disagree about direction. When they agree, there's no informational edge. When they diverge, one of them is wrong, and history overwhelmingly shows it's retail.
TAS tracks this divergence in real time. When smart money is accumulating while retail is panic-selling, that divergence is a powerful bullish signal. When smart money is distributing while retail is euphoric and overleveraged, that divergence is a powerful bearish signal.
The signal isn't just about who's buying and who's selling. It's about the conviction and size of the disagreement. A slight divergence contributes a slight signal. A massive divergence, where smart money is loading while retail is capitulating at a rate not seen in months, contributes a maximum-strength signal.
This component alone captures the dynamic that defines most major reversals: smart money is early, retail is late, and the transition between their opposing positions marks the inflection point.
Price going up is bullish. But price going up while open interest is rising is much more bullish, because it means new money is entering to support the move. Price going up while open interest is falling means existing shorts are closing (short squeeze) rather than new longs entering, which is a weaker foundation.
TAS weight-adjusts momentum by the direction and magnitude of open interest changes. Confirmed moves, where price and OI align, get amplified. Unconfirmed moves, where price rises but OI drops, or price drops but OI drops, get discounted.
This prevents TAS from getting fooled by the classic trap: a sharp move that looks directional but is actually just a liquidation cascade with no new positioning behind it. Real directional moves attract new capital. TAS requires it.
Hidden divergences between price and momentum oscillators reveal when the visible price action is telling a different story than the underlying momentum structure. Price makes a higher high, but momentum makes a lower high. The trend looks intact on the surface, but the engine underneath is losing power.
TAS integrates wave trend divergence analysis across multiple timeframes. A divergence on a single timeframe is a warning. A divergence that persists across two or three timeframes is a strong directional signal, indicating that the current trend is exhausting and a reversal is building.
This component acts as a contrarian input. While other components might be bullish based on current positioning, a strong bearish divergence in wave trends serves as a counterweight, preventing TAS from chasing moves that are about to reverse.
Direction in crypto doesn't exist in isolation. DXY strength, VIX levels, ETF flow data, and macro regime conditions create headwinds or tailwinds for directional bets.
When the dollar is weakening, volatility is low, and ETF inflows are accelerating, there's a macro tailwind for long crypto positions. When the dollar is surging, volatility is spiking, and institutions are pulling capital, the macro environment opposes longs regardless of what micro-level signals suggest.
TAS incorporates macro conditions as a confirming or opposing factor. It won't override a strong micro signal, but it will amplify it when macro aligns or dampen it when macro opposes.
Each of the six components contributes independently to the TAS score. But the relationship between component agreement and signal strength is not linear. It's exponential.
When three of six components agree on a direction, you get a moderate score. When four agree, the score jumps disproportionately. When five or all six agree, the score approaches the extremes.
This is the conviction multiplier. It reflects a fundamental truth about markets: confluence is everything. A single bullish signal is a hypothesis. Two bullish signals are interesting. Five bullish signals from five independent data sources pointing the same direction is a high-conviction trade.
The math behind the multiplier ensures that TAS rarely reaches Strong Long or Strong Short territory. When it does, it means something extraordinary is happening: funding rates are asymmetric in the same direction that liquidation magnets are pulling, while smart money diverges from retail, momentum is confirmed by OI, wave trends support the move, and macro conditions agree.
That's not a trade. That's a gift.
Most assets most of the time score somewhere between -40 and +40. The extremes are reserved for moments of genuine, multi-dimensional convergence. Respect them.
Ready to see the Thrive Alpha Signal in action? Explore our plans and get real-time TAS readings across every major crypto asset.
TAS doesn't just tell you direction. It tells you how much to risk on that direction. The stronger the signal, the more of your capital it deserves, within your risk management framework.
Here's a concrete position sizing framework built around TAS:
| TAS Range |
Size Multiplier |
Rationale |
| 0 to 29 (Neutral) |
0x (no position) |
No directional edge identified |
| 30 to 44 (Long/Short) |
1.0x (base size) |
Edge exists but conviction is moderate |
| 45 to 59 (Long/Short) |
1.25x |
Growing confluence across components |
| 60 to 69 (Long/Short) |
1.5x |
Strong multi-component agreement |
| 70 to 84 (Strong Long/Short) |
1.75x |
Exceptional confluence, rare signal |
| 85 to 100 (Strong Long/Short) |
2.0x (maximum) |
Near-total component agreement |
The sign tells you direction. The magnitude tells you size. A TAS of -75 means short at 1.75x your base size. A TAS of +40 means long at 1.0x base.
- Critical adjustments:Short positions get an asymmetry haircut. Shorts carry more risk than longs in crypto because of the structural upward bias. Consider reducing short size multipliers by 15-25% relative to equivalent long signals. A TAS of -70 might warrant 1.5x rather than the 1.75x you'd use for +70.
TPS modifies everything. If TAS is +65 but TPS is only 40, the direction is clear but the setup quality is poor. Scale down. A useful rule: multiply the TAS-based size by (TPS / 100). So a TAS of +65 (1.5x multiplier) with a TPS of 40 becomes 1.5x × 0.40 = 0.6x. That's a small position, appropriate for a directional lean without the setup quality to support full conviction.
Never exceed your risk limits. The 2.0x maximum is relative to your base position size, which itself should be calibrated so that a losing trade never costs more than 1-2% of your portfolio. Sizing up on conviction doesn't mean abandoning risk discipline. It means allocating more within an already-safe framework.
Theory is useful. Application is everything. Here are four scenarios that show how TAS translates into trading decisions.
Bitcoin had been ranging between $58,000 and $62,000 for three weeks. Retail sentiment was fearful. Crypto Twitter was calling for $50K. Funding rates had flipped negative for the first time in months.
But under the surface, TAS was telling a different story.
Funding rate asymmetry was strongly bullish, with shorts paying longs across most exchanges. The liquidation magnet was pulling upward, with a massive cluster of short liquidations sitting above $63,000. Smart money was accumulating aggressively while retail sold. OI was rising alongside flat price, meaning new positions were building without price moving, a classic pre-breakout signature. Wave trends showed bullish hidden divergence. The dollar was weakening.
Five of six components aligned. TAS read +72: Strong Long.
The correct action: long at 1.75x base size, with a stop below the range low. Bitcoin broke out to $68,000 within ten days as the short liquidation cascade above $63,000 triggered a squeeze that retail then chased, providing the momentum for the next leg up.
This is the trade that TAS is built for. Not predicting the breakout, but identifying that the structural positioning overwhelmingly favored upside before price confirmed it.
Ethereum was showing mild bullish signs on the chart. A higher low had formed. Some traders were calling a breakout setup. But TAS read +15: Neutral.
Why? The components were split. Funding was slightly bullish. But smart money was flat, neither accumulating nor distributing. OI-weighted momentum was inconclusive. Wave trends showed no divergence in either direction. Macro was mixed with a strengthening dollar offsetting ETF inflows.
Three components were mildly bullish. Two were neutral. One was mildly bearish. The net result: no clear edge.
The correct action: no trade. Sit on your hands. The chart pattern meant nothing without structural confirmation from the participants who move markets. ETH chopped sideways for another two weeks before eventually breaking down, which TAS later captured as a Short signal when the components realigned.
Sitting out isn't weakness. It's discipline. And TAS gives you the quantitative permission to be patient when the edge isn't there.
Solana had been on a tear. Retail was euphoric. Social media mentions were at all-time highs. Funding rates were extremely positive, with longs paying massive premiums across every exchange. The narrative was "SOL to $300."
TAS read -58: Short.
Smart money was quietly distributing into the retail bid. The liquidation magnet was pulling hard downward, with a massive cluster of leveraged long liquidations sitting 8% below the current price. OI was rising but price momentum was stalling, a distribution signature. Wave trends showed bearish divergence on the 4h and daily. Only macro was mildly supportive.
Four of six components pointed bearish. TAS reflected this: Short at 1.0x base size (adjusted down for the short asymmetry haircut).
SOL dropped 22% over the following week as the long liquidation cascade triggered, wiping out the overleveraged retail longs who were sure the trend would continue. Smart money had already exited. The only question was when, not if.
Dogecoin showed a TAS of +45, a clear Long signal. Funding was favorable, smart money was showing mild accumulation, and the liquidation magnet was mildly bullish.
But TPS was only 35. The setup quality was poor. Volume was low. Volatility was compressed but without the structural patterns that precede quality breakouts. The regime wasn't favorable for momentum trades.
The TAS direction was correct, but the context was wrong. Applying the TPS modifier: 1.0x (base size for TAS +45) × 0.35 (TPS/100) = 0.35x base size.
The correct action: a small long, essentially a feeler position. If DOGE followed through and TPS improved, add to the position. If not, the tiny size means negligible damage.
This scenario illustrates why TAS and TPS must be used together. Direction without strength is a hypothesis. Strength without direction is indecision. Both together give you conviction.
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TAS doesn't operate alone. Together with the Thrive Power Score (TPS) and the Thrive Regime Pulse (TRP), the three metrics form a complete decision system.
- TPS answers: "Is this worth trading?"
- TAS answers: "Which direction?"
- TRP answers: "What regime is the market in?"
The combined decision matrix:
| TPS |
TAS |
TRP |
Action |
| High (70+) |
Strong Long (+70 to +100) |
Momentum |
Full size long, aggressive targets |
| High (70+) |
Long (+30 to +69) |
Momentum |
Standard long, moderate targets |
| High (70+) |
Neutral (-29 to +29) |
Any |
Wait for directional clarity |
| High (70+) |
Short (-30 to -69) |
Distribution |
Standard short, tight stop |
| High (70+) |
Strong Short (-70 to -100) |
Capitulation |
Full size short, aggressive targets |
| Medium (40-69) |
Strong Long/Short |
Any |
Reduced size in TAS direction |
| Low (<40) |
Any |
Any |
No trade |
The matrix eliminates guesswork. You look up three numbers. The action is defined. There's no room for the narrative bias that makes traders override their own systems.
When all three metrics agree, you're looking at the highest-conviction setup the system produces. A TPS of 85, a TAS of +78, and a TRP of Momentum means the setup is strong, the direction is clear, and the market regime supports aggressive trend-following. These are the trades that define quarters.
When the metrics conflict, the matrix forces conservatism. And that conservatism is the edge. Most traders lose money by taking trades they shouldn't have taken, not by missing trades they should have. The three-metric system's greatest value is the trades it keeps you out of.
The Thrive Workbench gives you direct SQL access to TAS data. Here are queries for common use cases.
Find all assets currently in Strong Long territory:
SELECT
symbol,
tas_score,
tas_label,
tps_score,
updated_at
FROM thrive_signals
WHERE tas_label = 'Strong Long'
ORDER BY tas_score DESC;
Find assets where TAS and TPS both signal high conviction:
SELECT
symbol,
tas_score,
tas_label,
tps_score,
trp_label
FROM thrive_signals
WHERE ABS(tas_score) >= 60
AND tps_score >= 70
ORDER BY ABS(tas_score) DESC;
Track TAS changes over the past 24 hours to spot signal transitions:
SELECT
symbol,
tas_score AS current_tas,
LAG(tas_score) OVER (PARTITION BY symbol ORDER BY snapshot_time) AS prev_tas,
tas_score - LAG(tas_score) OVER (PARTITION BY symbol ORDER BY snapshot_time) AS tas_delta
FROM thrive_signal_snapshots
WHERE snapshot_time >= NOW() - INTERVAL '24 hours'
ORDER BY ABS(tas_score - LAG(tas_score) OVER (PARTITION BY symbol ORDER BY snapshot_time)) DESC NULLS LAST;
- Combine TAS with smart money flow data:
SELECT
s.symbol,
s.tas_score,
s.tas_label,
sm.net_smart_money_flow,
sm.retail_sentiment_score
FROM thrive_signals s
JOIN smart_money_flows sm ON s.symbol = sm.symbol
WHERE s.tas_label IN ('Strong Long', 'Strong Short')
AND sm.updated_at >= NOW() - INTERVAL '1 hour'
ORDER BY ABS(s.tas_score) DESC;
You can also build custom alerts that trigger when TAS crosses key thresholds, and backtest signal combinations using historical snapshots.
TAS recalculates on every data refresh cycle, which runs continuously. In practice, the score updates every few minutes as new funding rate, open interest, on-chain flow, and macro data arrive. The Workbench reflects the latest calculation. Signal labels can change intraday, so checking TAS before entering and during a trade is essential.
TAS sometimes shows a bullish reading while price is falling, or a bearish reading while price is rising. This is not a bug, it's the signal. TAS leads price because it measures the positioning and structural dynamics that precede price moves, not the price moves themselves. When TAS diverges from price action, it usually means smart money is positioning for a reversal that retail hasn't recognized yet. These divergences often precede the most profitable trades.
No. TAS is a directional bias indicator, not a timing signal. It tells you which direction has the edge and how strong that edge is. You still need to determine entry timing, stop placement, and position sizing using your own framework. TAS informs the "which direction" decision. The "when to enter" decision is yours. Many traders use TAS to filter direction and then use technical analysis for entry timing.
Yes. Historical TAS snapshots are available in the Workbench. You can query past readings, compare them against subsequent price action, and calculate hit rates for different TAS thresholds. Most traders find that filtering for TAS readings above +60 or below -60 combined with TPS above 65 produces the highest-quality signal set for backtesting purposes.
We don't publish a single win rate because it depends entirely on how you use TAS. A trader who enters on every TAS Long signal with no additional filtering will have a very different win rate than one who waits for Strong Long with high TPS confirmation. What we can say is that the signal-to-noise ratio improves dramatically as you move toward the extremes. TAS readings in the +70 to +100 and -70 to -100 ranges show substantially higher directional accuracy than readings in the +30 to +50 range. The conviction multiplier is designed to ensure this.
Funding rates are one of six components. A funding-rate-only strategy captures one dimension of the market. TAS captures six. More importantly, TAS identifies when funding rate signals are confirmed by independent data sources, such as smart money positioning, liquidation structure, and macro conditions, versus when funding signals are isolated and unreliable. A negative funding rate is interesting. A negative funding rate combined with smart money accumulation, a downward liquidation magnet, and bullish macro conditions is actionable. That's the difference between single-indicator analysis and multi-dimensional signal synthesis.
