Short Trade on ALPHA 03 Jul 2025 at 23:38:36
Take profit at 0.01049 (4.2 %) and Stop Loss at 0.01126 (2.83 %)
Short Trade on ALPHA 03 Jul 2025 at 23:38:36
Take profit at 0.01049 (4.2 %) and Stop Loss at 0.01126 (2.83 %)
Position size of 283.6352 $
Take profit at 0.01049 (4.2 %) and Stop Loss at 0.01126 (2.83 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.6 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.45 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.215247 |
Indicators:
109509
-0.00272417
109211
0.215247
109382
-0.001162
109255
108415
0.0073418
109211
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 03 Jul 2025 23:38:36 |
04 Jul 2025 00:10:00 |
31 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.01095 | 0.01126 | 0.01049 | 1.48 | 0.01155 |
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 = 0.01126 - 0.01095 = 0.00031
Récompense (distance jusqu'au take profit):
E - TP = 0.01095 - 0.01049 = 0.00046
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00046 / 0.00031 = 1.4839
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 283.6352 | 100 | 25902.758 | 2.84 |
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 / 0.00031 = 25806.45
Taille de position USD = 25806.45 x 0.01095 = 282.58
Donc, tu peux acheter 25806.45 avec un stoploss a 0.01126
Avec un position size USD de 282.58$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 25806.45 x 0.00031 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 25806.45 x 0.00046 = 11.87
Si Take Profit atteint, tu gagneras 11.87$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 4.2 % | 11.92 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.83 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| -8.03 $ | -2.83 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -3.5616 % | 125.8 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01095
[stop_loss] => 0.011291
[rr_ratio] => 1.35
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-04 00:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01095
[stop_loss] => 0.011322
[rr_ratio] => 1.24
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-04 00:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01095
[stop_loss] => 0.011353
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-04 00:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01095
[stop_loss] => 0.011415
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-04 04:00:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 6.9999999999999E-5
[max_drawdown] => 0.00045
[rr_ratio] => 0.16
[high] => 0.01140000
[low] => 0.01088000
[mfe_pct] => 0.64
[mae_pct] => 4.11
[mfe_mae_ratio] => 0.16
[candles_analyzed] => 24
[start_at] => 2025-07-03T23:38:36-04:00
[end_at] => 2025-07-04T01:38:36-04:00
)
[long_term] => Array
(
[max_gain] => 0.00074
[max_drawdown] => 0.00045
[rr_ratio] => 1.64
[high] => 0.01140000
[low] => 0.01021000
[mfe_pct] => 6.76
[mae_pct] => 4.11
[mfe_mae_ratio] => 1.64
[candles_analyzed] => 72
[start_at] => 2025-07-03T23:38:36-04:00
[end_at] => 2025-07-04T05:38:36-04:00
)
[breakout] => Array
(
[high_before] => 0.01104000
[high_after] => 0.01140000
[low_before] => 0.00952000
[low_after] => 0.01021000
[is_new_high] =>
[is_new_low] =>
)
)