Long Trade on IP 12 Jul 2025 at 01:21:29
Take profit at 4.5337 (2.86 %) and Stop Loss at 4.3234 (1.91 %)
Long Trade on IP 12 Jul 2025 at 01:21:29
Take profit at 4.5337 (2.86 %) and Stop Loss at 4.3234 (1.91 %)
Position size of 419.1278 $
Take profit at 4.5337 (2.86 %) and Stop Loss at 4.3234 (1.91 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.49 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.514448 |
Indicators:
117600
-0.000600216
117530
0.514448
117501
0.000244573
117530
113396
0.0364538
117530
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 12 Jul 2025 01:21:29 |
12 Jul 2025 02:00:00 |
38 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 4.4075 | 4.3234 | 4.5337 | 1.5 | 0.976 |
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 = 4.3234 - 4.4075 = -0.084099999999999
Récompense (distance jusqu'au take profit):
E - TP = 4.4075 - 4.5337 = -0.1262
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.1262 / -0.084099999999999 = 1.5006
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 419.1278 | 100 | 95.0942 | 4.19 |
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 / -0.084099999999999 = -95.12
Taille de position USD = -95.12 x 4.4075 = -419.24
Donc, tu peux acheter -95.12 avec un stoploss a 4.3234
Avec un position size USD de -419.24$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -95.12 x -0.084099999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -95.12 x -0.1262 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.86 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.91 % | 8 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -1.91 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.108 % | 110.59 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 4.534
[entry_price] => 4.407
[stop_loss] => 4.3146
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-12 02:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 4.534
[entry_price] => 4.407
[stop_loss] => 4.3062
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-12 07:20:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 4.534
[entry_price] => 4.407
[stop_loss] => 4.2978
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-12 07:20:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 4.534
[entry_price] => 4.407
[stop_loss] => 4.281
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-12 07:20:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.1047
[max_drawdown] => 0.1008
[rr_ratio] => 1.04
[high] => 4.51220000
[low] => 4.30670000
[mfe_pct] => 2.38
[mae_pct] => 2.29
[mfe_mae_ratio] => 1.04
[candles_analyzed] => 24
[start_at] => 2025-07-12T01:21:29-04:00
[end_at] => 2025-07-12T03:21:29-04:00
)
[long_term] => Array
(
[max_gain] => 0.1711
[max_drawdown] => 0.1008
[rr_ratio] => 1.7
[high] => 4.57860000
[low] => 4.30670000
[mfe_pct] => 3.88
[mae_pct] => 2.29
[mfe_mae_ratio] => 1.7
[candles_analyzed] => 72
[start_at] => 2025-07-12T01:21:29-04:00
[end_at] => 2025-07-12T07:21:29-04:00
)
[breakout] => Array
(
[high_before] => 4.94360000
[high_after] => 4.57860000
[low_before] => 4.38500000
[low_after] => 4.30670000
[is_new_high] =>
[is_new_low] =>
)
)