Short Trade on BROCCOLI 05 Aug 2025 at 16:26:49
Take profit at 0.02924 (2.92 %) and Stop Loss at 0.0307 (1.93 %)
Short Trade on BROCCOLI 05 Aug 2025 at 16:26:49
Take profit at 0.02924 (2.92 %) and Stop Loss at 0.0307 (1.93 %)
Position size of 412.8565 $
Take profit at 0.02924 (2.92 %) and Stop Loss at 0.0307 (1.93 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.72 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.64 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.51 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.114914 |
Indicators:
113650
0.00129542
113798
0.114914
114066
-0.00235778
113797
114133
-0.00294088
113798
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Aug 2025 16:26:49 |
05 Aug 2025 17:45:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.03012 | 0.0307 | 0.02924 | 1.52 | 0.01292 |
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 = 0.0307 - 0.03012 = 0.00058
Récompense (distance jusqu'au take profit):
E - TP = 0.03012 - 0.02924 = 0.00088
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00088 / 0.00058 = 1.5172
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 412.8565 | 100 | 13707.054 | 4.13 |
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 / 0.00058 = 13793.1
Taille de position USD = 13793.1 x 0.03012 = 415.45
Donc, tu peux acheter 13793.1 avec un stoploss a 0.0307
Avec un position size USD de 415.45$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 13793.1 x 0.00058 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 13793.1 x 0.00088 = 12.14
Si Take Profit atteint, tu gagneras 12.14$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.92 % | 12.06 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.93 % | 7.95 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -1.93 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.5564 % | 132.76 % | 8 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.02924
[entry_price] => 0.03012
[stop_loss] => 0.030758
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-05 17:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.02924
[entry_price] => 0.03012
[stop_loss] => 0.030816
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-05 17:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.02924
[entry_price] => 0.03012
[stop_loss] => 0.030874
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-05 17:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.02924
[entry_price] => 0.03012
[stop_loss] => 0.03099
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-05 21:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00055
[max_drawdown] => 0.00077
[rr_ratio] => 0.71
[high] => 0.03089000
[low] => 0.02957000
[mfe_pct] => 1.83
[mae_pct] => 2.56
[mfe_mae_ratio] => 0.71
[candles_analyzed] => 24
[start_at] => 2025-08-05T16:26:49-04:00
[end_at] => 2025-08-05T18:26:49-04:00
)
[long_term] => Array
(
[max_gain] => 0.00055
[max_drawdown] => 0.00141
[rr_ratio] => 0.39
[high] => 0.03153000
[low] => 0.02957000
[mfe_pct] => 1.83
[mae_pct] => 4.68
[mfe_mae_ratio] => 0.39
[candles_analyzed] => 84
[start_at] => 2025-08-05T16:26:49-04:00
[end_at] => 2025-08-05T23:26:49-04:00
)
[breakout] => Array
(
[high_before] => 0.03127000
[high_after] => 0.03149000
[low_before] => 0.02795000
[low_after] => 0.02957000
[is_new_high] =>
[is_new_low] =>
)
)