Short Trade on B 05 Jun 2025 at 18:41:44
Take profit at 0.3752 (1.75 %) and Stop Loss at 0.3863 (1.15 %)
Short Trade on B 05 Jun 2025 at 18:41:44
Take profit at 0.3752 (1.75 %) and Stop Loss at 0.3863 (1.15 %)
Position size of 687.3563 $
Take profit at 0.3752 (1.75 %) and Stop Loss at 0.3863 (1.15 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.54 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.372507 |
Indicators:
102380
-0.00875592
101484
0.372507
103655
-0.0209455
101484
104670
-0.0304401
101484
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Jun 2025 18:41:44 |
05 Jun 2025 19:00:00 |
18 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3819 | 0.3863 | 0.3752 | 1.52 | 0.178 |
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 = 0.3863 - 0.3819 = 0.0044
Récompense (distance jusqu'au take profit):
E - TP = 0.3819 - 0.3752 = 0.0067
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0067 / 0.0044 = 1.5227
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 687.3563 | 100 | 1799.8331 | 6.87 |
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 / 0.0044 = 1818.18
Taille de position USD = 1818.18 x 0.3819 = 694.36
Donc, tu peux acheter 1818.18 avec un stoploss a 0.3863
Avec un position size USD de 694.36$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1818.18 x 0.0044 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1818.18 x 0.0067 = 12.18
Si Take Profit atteint, tu gagneras 12.18$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.75 % | 12.06 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.15 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| -7.92 $ | -1.15 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2568735271013 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.3752
[entry_price] => 0.3819
[stop_loss] => 0.38674
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-05 19:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.3752
[entry_price] => 0.3819
[stop_loss] => 0.38718
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-05 19:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.3752
[entry_price] => 0.3819
[stop_loss] => 0.38762
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-05 19:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.3752
[entry_price] => 0.3819
[stop_loss] => 0.3885
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-05 23:10:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0049
[max_drawdown] => 0.0059
[rr_ratio] => 0.83
[high] => 0.38780000
[low] => 0.37700000
[mfe_pct] => 1.28
[mae_pct] => 1.54
[mfe_mae_ratio] => 0.83
[candles_analyzed] => 24
[start_at] => 2025-06-05T18:41:44-04:00
[end_at] => 2025-06-05T20:41:44-04:00
)
[long_term] => Array
(
[max_gain] => 0.0075
[max_drawdown] => 0.0059
[rr_ratio] => 1.27
[high] => 0.38780000
[low] => 0.37440000
[mfe_pct] => 1.96
[mae_pct] => 1.54
[mfe_mae_ratio] => 1.27
[candles_analyzed] => 72
[start_at] => 2025-06-05T18:41:44-04:00
[end_at] => 2025-06-06T00:41:44-04:00
)
[breakout] => Array
(
[high_before] => 0.40410000
[high_after] => 0.38780000
[low_before] => 0.36760000
[low_after] => 0.37440000
[is_new_high] =>
[is_new_low] =>
)
)