Long Trade on SKHY (BosPullback)
With 3.6 SKHY at 158.45$ per unit. Take profit: 168.715 (6.48 %) & Stop Loss: 156.2255 (1.4 %)
Long Trade on SKHY (BosPullback)
With 3.6 SKHY at 158.45$ per unit. Take profit: 168.715 (6.48 %) & Stop Loss: 156.2255 (1.4 %)
Position size of 569.827 $
Take profit at 168.715 (6.48 %)
and Stop Loss at 156.2255 (1.4 %)
| 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 : bull_high rules_regime_5m : bear_low Score : 1 |
ml_regime : range_high rules_regime : bull_high_confirmed rules_regime_4h : bull_high tf_aligned : 1 25/08 13:01 |
| BTC Correlation | Coin Market Regime |
|---|---|
|
1H_regime : bear_high 15m_regime : range_medium |
| TF | Direction | Phase | Structure | Strength | Momentum | Volatility | Regime | Tradability | Évalué à |
|---|---|---|---|---|---|---|---|---|---|
| 4h | ↔ neutral | range | range | moderate | balanced | normal | range_high |
42%
|
25/08 16:00 |
| 1h | ↔ neutral | range | range | moderate | grind | compression | bear_high |
72%
|
25/08 17:00 |
| 15m | ↓ down | transition | bearish_transition | moderate | grind | normal | range_medium |
50%
|
25/08 17:30 |
| 5m | ↓ down | range | range | moderate | balanced | compression | range_low |
50%
|
25/08 17:35 |
Indicators:
156.4
146
0.4978
0.6036
0.3418
0.1904
0.4658
0.4848
0.3633
0.6901
0.6133
0.3674
0.5612
0.3791
0.022
-0.0157
0.3333
0.0164
-0.5064
0.5263
0.4737
1
7
1
0.6193
0.4691
5.3139
0.55
0.4848
2.5762
-0.5064
0.62
0.2839
0.28
-0.0009
0.3788
0.4866
0.7833
0.3791
-6.5479
3.9984
1
0
1
Array
(
[time] => 2026-08-20 04:00:00
[price] => 165.94
[kind] => high
[label] =>
)
Array
(
[time] => 2026-08-20 12:00:00
[price] => 158.31
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-20 13:00:00
[price] => 166.44
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-20 18:00:00
[price] => 160.98
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-21 00:00:00
[price] => 168.94
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-08-21 08:00:00
[price] => 163.89
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-21 10:00:00
[price] => 167.99
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-21 14:00:00
[price] => 162.74
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-08-21 15:00:00
[price] => 167.55
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-22 05:00:00
[price] => 161.06
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-08-23 03:00:00
[price] => 166.02
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-23 06:00:00
[price] => 163.95
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-23 15:00:00
[price] => 168
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-08-23 16:00:00
[price] => 166.83
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-23 19:00:00
[price] => 169.54
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-08-24 13:00:00
[price] => 151.74
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-08-24 16:00:00
[price] => 157.65
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-25 00:00:00
[price] => 151.15
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-08-25 10:00:00
[price] => 161.34
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-08-25 14:00:00
[price] => 156.4
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-24 16:45:00
[price] => 156.6
[kind] => high
[label] =>
)
Array
(
[time] => 2026-08-24 17:30:00
[price] => 154.55
[kind] => low
[label] =>
)
Array
(
[time] => 2026-08-24 18:30:00
[price] => 157.15
[kind] => high
[label] =>
)
Array
(
[time] => 2026-08-24 19:45:00
[price] => 154.82
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-24 20:15:00
[price] => 156.11
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-25 00:15:00
[price] => 151.15
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-08-25 00:45:00
[price] => 153.56
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-25 01:15:00
[price] => 151.86
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-25 01:45:00
[price] => 154.82
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-08-25 02:45:00
[price] => 152.75
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-25 06:15:00
[price] => 159.89
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-08-25 08:00:00
[price] => 157.91
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-25 10:00:00
[price] => 161.34
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-08-25 11:00:00
[price] => 159.73
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-25 12:15:00
[price] => 161.03
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-25 12:30:00
[price] => 159.48
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-08-25 13:30:00
[price] => 161.31
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-08-25 14:15:00
[price] => 156.4
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-08-25 16:15:00
[price] => 159.64
[kind] => high
[label] => LH
)
156.4
161.34
161.34
156.4
161.34
157.91
159.625
0.7944
Signaux confirmants (7)
| # | Heure | Entry | Δ |
|---|---|---|---|
| 1 | 13:42 | 158.45000000 | 0% |
| 2 | 13:48 | 158.56000000 | +0.069% |
| 3 | 13:54 | 158.57000000 | +0.076% |
| 4 | 14:36 | 158.73000000 | +0.177% |
| 5 | 14:42 | 158.73000000 | +0.177% |
| 6 | 14:48 | 159.17000000 | +0.454% |
| 7 | 14:54 | 159.18000000 | +0.461% |
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Order Book Imbalance
Microstructure
| Start at | Closed at | Duration |
|---|---|---|
| 25 Aug 2026 13:42:19 |
30 Aug 2026 20:00:00 |
5 days |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 158.45 | 156.2255 | 168.715 | 4.61 | 163.55 |
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 = 156.2255 - 158.45 = -2.2245
Récompense (distance jusqu'au take profit):
E - TP = 158.45 - 168.715 = -10.265
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -10.265 / -2.2245 = 4.6145
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 569.827 | 100 | 3.5963 | 5.70 |
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 / -2.2245 = -3.6
Taille de position USD = -3.6 x 158.45 = -570.42
Donc, tu peux acheter -3.6 avec un stoploss a 156.2255
Avec un position size USD de -570.42$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -3.6 x -2.2245 = 8.01
Si Stop Loss atteint, tu perdras 8.01$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -3.6 x -10.265 = 36.95
Si Take Profit atteint, tu gagneras 36.95$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 6.48 % | 36.92 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.4 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -1.40 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.8302 % | 130.37 % | 122 |
Array
(
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.85000000000002
[max_drawdown] => 0.36999999999998
[rr_ratio] => 2.3
[high] => 159.30000000
[low] => 158.08000000
[mfe_pct] => 0.54
[mae_pct] => 0.23
[mfe_mae_ratio] => 2.3
[candles_analyzed] => 24
[start_at] => 2026-08-25T13:42:19-04:00
[end_at] => 2026-08-25T15:42:19-04:00
)
[long_term] => Array
(
[max_gain] => 2.6
[max_drawdown] => 1.17
[rr_ratio] => 2.22
[high] => 161.05000000
[low] => 157.28000000
[mfe_pct] => 1.64
[mae_pct] => 0.74
[mfe_mae_ratio] => 2.22
[candles_analyzed] => 84
[start_at] => 2026-08-25T13:42:19-04:00
[end_at] => 2026-08-25T20:42:19-04:00
)
[breakout] => Array
(
[high_before] => 159.99000000
[high_after] => 159.89000000
[low_before] => 156.40000000
[low_after] => 158.08000000
[is_new_high] =>
[is_new_low] =>
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?