Short Trade on AI16Z 29 Jul 2025 at 02:15:56
Take profit at 0.1459 (0.95 %) and Stop Loss at 0.1483 (0.68 %)
Short Trade on AI16Z 29 Jul 2025 at 02:15:56
Take profit at 0.1459 (0.95 %) and Stop Loss at 0.1483 (0.68 %)
Position size of 1235.5413 $
Take profit at 0.1459 (0.95 %) and Stop Loss at 0.1483 (0.68 %)
That's a 1.4 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.86 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.6 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.84 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.740315 |
Indicators:
118337
0.00412348
118825
0.740315
118460
0.00307843
118825
117828
0.00845803
118825
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Jul 2025 02:15:56 |
29 Jul 2025 02:20:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1473 | 0.1483 | 0.1459 | 1.4 | 0.0663 |
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 = 0.1483 - 0.1473 = 0.001
Récompense (distance jusqu'au take profit):
E - TP = 0.1473 - 0.1459 = 0.0014
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0014 / 0.001 = 1.4
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1235.5413 | 100 | 8387.9246 | 12.36 |
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 / 0.001 = 8000
Taille de position USD = 8000 x 0.1473 = 1178.4
Donc, tu peux acheter 8000 avec un stoploss a 0.1483
Avec un position size USD de 1178.4$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8000 x 0.001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8000 x 0.0014 = 11.2
Si Take Profit atteint, tu gagneras 11.2$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.95 % | 11.74 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.68 % | 8.39 $ |
| PNL | PNL % |
|---|---|
| -8.39 $ | -0.68 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8826 % | 130 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1459
[entry_price] => 0.1473
[stop_loss] => 0.1484
[rr_ratio] => 1.27
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-29 02:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1459
[entry_price] => 0.1473
[stop_loss] => 0.1485
[rr_ratio] => 1.17
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-29 02:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1459
[entry_price] => 0.1473
[stop_loss] => 0.1486
[rr_ratio] => 1.08
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-29 02:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1459
[entry_price] => 0.1473
[stop_loss] => 0.1488
[rr_ratio] => 0.93
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-29 02:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -0.00020000000000001
[max_drawdown] => 0.0044
[rr_ratio] => -0.05
[high] => 0.15170000
[low] => 0.14750000
[mfe_pct] => -0.14
[mae_pct] => 2.99
[mfe_mae_ratio] => -0.05
[candles_analyzed] => 24
[start_at] => 2025-07-29T02:15:56-04:00
[end_at] => 2025-07-29T04:15:56-04:00
)
[long_term] => Array
(
[max_gain] => -0.00020000000000001
[max_drawdown] => 0.0067
[rr_ratio] => -0.03
[high] => 0.15400000
[low] => 0.14750000
[mfe_pct] => -0.14
[mae_pct] => 4.55
[mfe_mae_ratio] => -0.03
[candles_analyzed] => 84
[start_at] => 2025-07-29T02:15:56-04:00
[end_at] => 2025-07-29T09:15:56-04:00
)
[breakout] => Array
(
[high_before] => 0.14780000
[high_after] => 0.15280000
[low_before] => 0.14060000
[low_after] => 0.14750000
[is_new_high] =>
[is_new_low] =>
)
)