Long Trade on HBAR 31 Jul 2025 at 07:56:53
Take profit at 0.2752 (0.99 %) and Stop Loss at 0.2707 (0.66 %)
Long Trade on HBAR 31 Jul 2025 at 07:56:53
Take profit at 0.2752 (0.99 %) and Stop Loss at 0.2707 (0.66 %)
Position size of 1203.441 $
Take profit at 0.2752 (0.99 %) and Stop Loss at 0.2707 (0.66 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.87 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.55 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.74 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.489851 |
Indicators:
118469
-0.00133189
118312
0.489851
118128
0.00152364
118308
118111
0.00169481
118312
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 31 Jul 2025 07:56:53 |
31 Jul 2025 08:30:00 |
33 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2725 | 0.2707 | 0.2752 | 1.5 | 0.09486 |
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 = 0.2707 - 0.2725 = -0.0018
Récompense (distance jusqu'au take profit):
E - TP = 0.2725 - 0.2752 = -0.0027
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0027 / -0.0018 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1203.441 | 100 | 4416.7835 | 12.03 |
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 / -0.0018 = -4444.44
Taille de position USD = -4444.44 x 0.2725 = -1211.11
Donc, tu peux acheter -4444.44 avec un stoploss a 0.2707
Avec un position size USD de -1211.11$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -4444.44 x -0.0018 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -4444.44 x -0.0027 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.99 % | 11.93 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.66 % | 7.95 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -0.66 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7743 % | 117.21 % | 7 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2752
[entry_price] => 0.2725
[stop_loss] => 0.27052
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-31 08:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2752
[entry_price] => 0.2725
[stop_loss] => 0.27034
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-31 08:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2752
[entry_price] => 0.2725
[stop_loss] => 0.27016
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-31 08:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2752
[entry_price] => 0.2725
[stop_loss] => 0.2698
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-31 08:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00094
[max_drawdown] => 0.0069
[rr_ratio] => 0.14
[high] => 0.27344000
[low] => 0.26560000
[mfe_pct] => 0.34
[mae_pct] => 2.53
[mfe_mae_ratio] => 0.14
[candles_analyzed] => 24
[start_at] => 2025-07-31T07:56:53-04:00
[end_at] => 2025-07-31T09:56:53-04:00
)
[long_term] => Array
(
[max_gain] => 0.00094
[max_drawdown] => 0.0164
[rr_ratio] => 0.06
[high] => 0.27344000
[low] => 0.25610000
[mfe_pct] => 0.34
[mae_pct] => 6.02
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 84
[start_at] => 2025-07-31T07:56:53-04:00
[end_at] => 2025-07-31T14:56:53-04:00
)
[breakout] => Array
(
[high_before] => 0.27905000
[high_after] => 0.27344000
[low_before] => 0.27183000
[low_after] => 0.25944000
[is_new_high] =>
[is_new_low] =>
)
)