Long Trade on LTC 02 Jul 2025 at 19:40:41
Take profit at 87.6338 (0.32 %) and Stop Loss at 87.1608 (0.22 %)
Long Trade on LTC 02 Jul 2025 at 19:40:41
Take profit at 87.6338 (0.32 %) and Stop Loss at 87.1608 (0.22 %)
Position size of 3693.1132 $
Take profit at 87.6338 (0.32 %) and Stop Loss at 87.1608 (0.22 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.63 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.43 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.746678 |
Indicators:
109054
-0.00219748
108815
0.746678
107908
0.0092628
108907
107357
0.0135752
108815
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 02 Jul 2025 19:40:41 |
02 Jul 2025 20:20:00 |
39 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 87.35 | 87.1608 | 87.6338 | 1.5 | 53.3 |
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 = 87.1608 - 87.35 = -0.1892
Récompense (distance jusqu'au take profit):
E - TP = 87.35 - 87.6338 = -0.2838
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.2838 / -0.1892 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 3693.1132 | 100 | 42.2795 | 36.93 |
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 / -0.1892 = -42.28
Taille de position USD = -42.28 x 87.35 = -3693.16
Donc, tu peux acheter -42.28 avec un stoploss a 87.1608
Avec un position size USD de -3693.16$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -42.28 x -0.1892 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -42.28 x -0.2838 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.32 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.22 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.03 $ | -0.22 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.3091 % | 142.11 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 87.63
[entry_price] => 87.35
[stop_loss] => 87.141
[rr_ratio] => 1.34
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-02 20:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 87.63
[entry_price] => 87.35
[stop_loss] => 87.122
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-02 20:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 87.63
[entry_price] => 87.35
[stop_loss] => 87.103
[rr_ratio] => 1.13
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-02 20:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 87.63
[entry_price] => 87.35
[stop_loss] => 87.065
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-02 22:20:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.21000000000001
[max_drawdown] => 0.27
[rr_ratio] => 0.78
[high] => 87.56000000
[low] => 87.08000000
[mfe_pct] => 0.24
[mae_pct] => 0.31
[mfe_mae_ratio] => 0.78
[candles_analyzed] => 24
[start_at] => 2025-07-02T19:40:41-04:00
[end_at] => 2025-07-02T21:40:41-04:00
)
[long_term] => Array
(
[max_gain] => 1.99
[max_drawdown] => 0.48999999999999
[rr_ratio] => 4.06
[high] => 89.34000000
[low] => 86.86000000
[mfe_pct] => 2.28
[mae_pct] => 0.56
[mfe_mae_ratio] => 4.06
[candles_analyzed] => 72
[start_at] => 2025-07-02T19:40:41-04:00
[end_at] => 2025-07-03T01:40:41-04:00
)
[breakout] => Array
(
[high_before] => 88.63000000
[high_after] => 89.34000000
[low_before] => 87.17000000
[low_after] => 86.86000000
[is_new_high] => 1
[is_new_low] =>
)
)