Long Trade on OM 16 Jul 2025 at 15:13:47
Take profit at 0.2372 (0.89 %) and Stop Loss at 0.2336 (0.64 %)
Long Trade on OM 16 Jul 2025 at 15:13:47
Take profit at 0.2372 (0.89 %) and Stop Loss at 0.2336 (0.64 %)
Position size of 1315.7421 $
Take profit at 0.2372 (0.89 %) and Stop Loss at 0.2336 (0.64 %)
That's a 1.4 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.68 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.56 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.55463 |
Indicators:
119061
0.00275557
119390
0.55463
118316
0.00907504
119390
118331
0.00894178
119390
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 Jul 2025 15:13:47 |
16 Jul 2025 16:05:00 |
51 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2351 | 0.2336 | 0.2372 | 1.4 | 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 = 0.2336 - 0.2351 = -0.0015
Récompense (distance jusqu'au take profit):
E - TP = 0.2351 - 0.2372 = -0.0021
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0021 / -0.0015 = 1.4
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1315.7421 | 100 | 5597.4732 | 13.16 |
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 / -0.0015 = -5333.33
Taille de position USD = -5333.33 x 0.2351 = -1253.87
Donc, tu peux acheter -5333.33 avec un stoploss a 0.2336
Avec un position size USD de -1253.87$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -5333.33 x -0.0015 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -5333.33 x -0.0021 = 11.2
Si Take Profit atteint, tu gagneras 11.2$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.89 % | 11.75 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.64 % | 8.4 $ |
| PNL | PNL % |
|---|---|
| 11.75 $ | 0.89 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.2297 % | 36 % | 3 |
Array
(
[2] => Array
(
[take_profit] => 0.2381
[stop_loss] => 0.2336
[rr_ratio] => 2
[closed_at] => 2025-07-16 16:15:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.23885
[stop_loss] => 0.2336
[rr_ratio] => 2.5
[closed_at] => 2025-07-16 16:15:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.2396
[stop_loss] => 0.2336
[rr_ratio] => 3
[closed_at] => 2025-07-16 16:25:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.24035
[stop_loss] => 0.2336
[rr_ratio] => 3.5
[closed_at] => 2025-07-16 16:30:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.2411
[stop_loss] => 0.2336
[rr_ratio] => 4
[closed_at] => 2025-07-16 16:30:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.24185
[stop_loss] => 0.2336
[rr_ratio] => 4.5
[closed_at] => 2025-07-16 16:30:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00689
[max_drawdown] => 0.00054000000000001
[rr_ratio] => 12.76
[high] => 0.24199000
[low] => 0.23456000
[mfe_pct] => 2.93
[mae_pct] => 0.23
[mfe_mae_ratio] => 12.76
[candles_analyzed] => 24
[start_at] => 2025-07-16T15:13:47-04:00
[end_at] => 2025-07-16T17:13:47-04:00
)
[long_term] => Array
(
[max_gain] => 0.00689
[max_drawdown] => 0.00135
[rr_ratio] => 5.1
[high] => 0.24199000
[low] => 0.23375000
[mfe_pct] => 2.93
[mae_pct] => 0.57
[mfe_mae_ratio] => 5.1
[candles_analyzed] => 72
[start_at] => 2025-07-16T15:13:47-04:00
[end_at] => 2025-07-16T21:13:47-04:00
)
[breakout] => Array
(
[high_before] => 0.23929000
[high_after] => 0.24199000
[low_before] => 0.23000000
[low_after] => 0.23375000
[is_new_high] => 1
[is_new_low] =>
)
)