Short Trade on AAVE (BosPullback)
With 7.95 AAVE at 87.34$ per unit. Take profit: 84.8251 (2.88 %) & Stop Loss: 88.346 (1.15 %)
Short Trade on AAVE (BosPullback)
With 7.95 AAVE at 87.34$ per unit. Take profit: 84.8251 (2.88 %) & Stop Loss: 88.346 (1.15 %)
Position size of 694.5747 $
Take profit at 84.8251 (2.88 %)
and Stop Loss at 88.346 (1.15 %)
| Prediction 1 | Probability |
|---|---|
|
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | BTC Market Regime V2 |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low Score : 0 |
ml_regime : range_medium rules_regime : range_low rules_regime_5m : range_low tf_aligned : 1 20/05 05:06 |
| BTC Correlation | Coin Market Regime |
|---|---|
|
1H_regime : bear_high 15m_regime : range_low |
| TF | Direction | Phase | Structure | Strength | Momentum | Volatility | Regime | Tradability | Évalué à |
|---|---|---|---|---|---|---|---|---|---|
| 4h | ↓ down | transition | bearish_transition | moderate | grind | compression | bear_high |
70%
|
20/05 00:00 |
| 1h | ↓ down | transition | bearish_transition | moderate | grind | compression | bear_high |
72%
|
20/05 04:00 |
| 15m | ↔ neutral | range | range | strong | explosive | normal | range_low |
47%
|
20/05 05:00 |
| 5m | ↔ neutral | range | range | strong | explosive | normal | range_low |
48%
|
20/05 05:10 |
Indicators:
88.29
146
0.287
0.5351
0.4083
0.2892
0.5058
0.6667
0.4119
0.3662
0.3164
0.0643
0.5722
0.0824
-0.0137
-0.0519
0
-0.7056
-1.811
0.4
0.6
-1
8
0.9474
0.4743
0.4528
3.4711
0.55
0.6667
2.3142
-1.811
0.5172
0.1861
0
-0.2035
0.4966
0.4098
0.696
0.0824
-15.6803
1.4083
1
0
1
Array
(
[time] => 2026-05-15 13:00:00
[price] => 94.23
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-16 03:00:00
[price] => 87.97
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-16 04:00:00
[price] => 89.58
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-16 13:00:00
[price] => 90.97
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-16 21:00:00
[price] => 88.98
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 01:00:00
[price] => 91.1
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-17 03:00:00
[price] => 89.94
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 06:00:00
[price] => 91.63
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-17 14:00:00
[price] => 90
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 17:00:00
[price] => 90.84
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-17 19:00:00
[price] => 86.52
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-17 22:00:00
[price] => 89.32
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-18 06:00:00
[price] => 87.78
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-18 08:00:00
[price] => 89.93
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-18 14:00:00
[price] => 87.03
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-18 20:00:00
[price] => 90.12
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-19 10:00:00
[price] => 87.39
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-19 13:00:00
[price] => 89.13
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-19 21:00:00
[price] => 86.61
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-20 02:00:00
[price] => 88.29
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-19 04:30:00
[price] => 89.37
[kind] => high
[label] =>
)
Array
(
[time] => 2026-05-19 06:45:00
[price] => 87.97
[kind] => low
[label] =>
)
Array
(
[time] => 2026-05-19 07:00:00
[price] => 88.72
[kind] => high
[label] =>
)
Array
(
[time] => 2026-05-19 08:00:00
[price] => 87.92
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-19 09:00:00
[price] => 88.71
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-19 09:30:00
[price] => 88.08
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-19 10:45:00
[price] => 87.39
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-19 13:15:00
[price] => 89.13
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-19 15:45:00
[price] => 87.8
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-19 17:15:00
[price] => 88.38
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-19 18:15:00
[price] => 87.2
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-19 19:30:00
[price] => 87.72
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-19 21:30:00
[price] => 86.61
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-19 21:45:00
[price] => 87.36
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-19 22:45:00
[price] => 86.72
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-19 23:15:00
[price] => 87.35
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-20 00:30:00
[price] => 86.79
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-20 02:45:00
[price] => 88.29
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-20 04:15:00
[price] => 87.54
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-20 04:30:00
[price] => 88.04
[kind] => high
[label] => LH
)
86.61
88.29
88.29
86.61
89.13
87.91
88.52
0.7421
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Order Book Imbalance
Microstructure
↑ Bid Wall (Support)
↓ Ask Wall (Resistance)
| Start at | Closed at | Duration |
|---|---|---|
| 20 May 2026 05:12:47 |
20 May 2026 10:45:00 |
5 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 87.34 | 88.346 | 84.8251 | 2.5 | 85.77 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 88.346 - 87.34 = 1.006
Récompense (distance jusqu'au take profit):
E - TP = 87.34 - 84.8251 = 2.5149
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 2.5149 / 1.006 = 2.4999
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 694.5747 | 100 | 7.9525 | 6.95 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / 1.006 = 7.95
Taille de position USD = 7.95 x 87.34 = 694.35
Donc, tu peux acheter 7.95 avec un stoploss a 88.346
Avec un position size USD de 694.35$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 7.95 x 1.006 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 7.95 x 2.5149 = 19.99
Si Take Profit atteint, tu gagneras 19.99$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.88 % | 20 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.15 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -1.15 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2022 % | 104.38 % | 8 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 84.8251
[entry_price] => 87.34
[stop_loss] => 88.4466
[rr_ratio] => 2.27
[sl_change_percentage] => 1.1
[closed_at] => 2026-05-20 10:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 84.8251
[entry_price] => 87.34
[stop_loss] => 88.5472
[rr_ratio] => 2.08
[sl_change_percentage] => 1.2
[closed_at] => 2026-05-20 10:50:00
[result] => loss
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Array
(
[short_term] => Array
(
[max_gain] => 0.15000000000001
[max_drawdown] => 0.72999999999999
[rr_ratio] => 0.21
[high] => 88.07000000
[low] => 87.19000000
[mfe_pct] => 0.17
[mae_pct] => 0.84
[mfe_mae_ratio] => 0.21
[candles_analyzed] => 24
[start_at] => 2026-05-20T05:12:47-04:00
[end_at] => 2026-05-20T07:12:47-04:00
)
[long_term] => Array
(
[max_gain] => 0.45
[max_drawdown] => 1.66
[rr_ratio] => 0.27
[high] => 89.00000000
[low] => 86.89000000
[mfe_pct] => 0.52
[mae_pct] => 1.9
[mfe_mae_ratio] => 0.27
[candles_analyzed] => 84
[start_at] => 2026-05-20T05:12:47-04:00
[end_at] => 2026-05-20T12:12:47-04:00
)
[breakout] => Array
(
[high_before] => 88.29000000
[high_after] => 88.59000000
[low_before] => 87.29000000
[low_after] => 86.89000000
[is_new_high] =>
[is_new_low] => 1
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?