Long Trade on OM 14 Jul 2025 at 10:45:14
Take profit at 0.2331 (1.75 %) and Stop Loss at 0.2265 (1.13 %)
Long Trade on OM 14 Jul 2025 at 10:45:14
Take profit at 0.2331 (1.75 %) and Stop Loss at 0.2265 (1.13 %)
Position size of 698.2568 $
Take profit at 0.2331 (1.75 %) and Stop Loss at 0.2265 (1.13 %)
That's a 1.54 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.53 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.36 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.377668 |
Indicators:
121839
-0.00754459
120920
0.377668
120644
0.00228749
120920
117666
0.0276551
120920
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Jul 2025 10:45:14 |
14 Jul 2025 11:45:00 |
59 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2291 | 0.2265 | 0.2331 | 1.54 | 0.07094 |
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 = 0.2265 - 0.2291 = -0.0026
Récompense (distance jusqu'au take profit):
E - TP = 0.2291 - 0.2331 = -0.004
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.004 / -0.0026 = 1.5385
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 698.2568 | 100 | 3047.5596 | 6.98 |
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 / -0.0026 = -3076.92
Taille de position USD = -3076.92 x 0.2291 = -704.92
Donc, tu peux acheter -3076.92 avec un stoploss a 0.2265
Avec un position size USD de -704.92$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -3076.92 x -0.0026 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -3076.92 x -0.004 = 12.31
Si Take Profit atteint, tu gagneras 12.31$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.75 % | 12.19 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.13 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| -7.92 $ | -1.13 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.6281 % | 143.46 % | 7 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2331
[entry_price] => 0.2291
[stop_loss] => 0.22624
[rr_ratio] => 1.4
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-14 11:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2331
[entry_price] => 0.2291
[stop_loss] => 0.22598
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-14 11:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2331
[entry_price] => 0.2291
[stop_loss] => 0.22572
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-14 11:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2331
[entry_price] => 0.2291
[stop_loss] => 0.2252
[rr_ratio] => 1.03
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-14 11:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00209
[max_drawdown] => 0.00559
[rr_ratio] => 0.37
[high] => 0.23119000
[low] => 0.22351000
[mfe_pct] => 0.91
[mae_pct] => 2.44
[mfe_mae_ratio] => 0.37
[candles_analyzed] => 24
[start_at] => 2025-07-14T10:45:14-04:00
[end_at] => 2025-07-14T12:45:14-04:00
)
[long_term] => Array
(
[max_gain] => 0.00209
[max_drawdown] => 0.00559
[rr_ratio] => 0.37
[high] => 0.23119000
[low] => 0.22351000
[mfe_pct] => 0.91
[mae_pct] => 2.44
[mfe_mae_ratio] => 0.37
[candles_analyzed] => 72
[start_at] => 2025-07-14T10:45:14-04:00
[end_at] => 2025-07-14T16:45:14-04:00
)
[breakout] => Array
(
[high_before] => 0.24390000
[high_after] => 0.23119000
[low_before] => 0.22788000
[low_after] => 0.22351000
[is_new_high] =>
[is_new_low] =>
)
)