Long Trade on RESOLV 23 Jun 2025 at 21:16:22
Take profit at 0.2141 (1.23 %) and Stop Loss at 0.2098 (0.8 %)
Long Trade on RESOLV 23 Jun 2025 at 21:16:22
Take profit at 0.2141 (1.23 %) and Stop Loss at 0.2098 (0.8 %)
Position size of 991.2385 $
Take profit at 0.2141 (1.23 %) and Stop Loss at 0.2098 (0.8 %)
That's a 1.53 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.53 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.54 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.577726 |
Indicators:
103964
0.00987523
104991
0.577726
102713
0.022177
104991
102727
0.0220341
104991
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 23 Jun 2025 21:16:22 |
23 Jun 2025 22:15:00 |
58 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2115 | 0.2098 | 0.2141 | 1.53 | 0.05823 |
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 = 0.2098 - 0.2115 = -0.0017
Récompense (distance jusqu'au take profit):
E - TP = 0.2115 - 0.2141 = -0.0026
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0026 / -0.0017 = 1.5294
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 991.2385 | 100 | 4686.7069 | 9.91 |
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 / -0.0017 = -4705.88
Taille de position USD = -4705.88 x 0.2115 = -995.29
Donc, tu peux acheter -4705.88 avec un stoploss a 0.2098
Avec un position size USD de -995.29$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -4705.88 x -0.0017 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -4705.88 x -0.0026 = 12.24
Si Take Profit atteint, tu gagneras 12.24$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.23 % | 12.19 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.8 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -0.80 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8983 % | 111.76 % | 6 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2141
[entry_price] => 0.2115
[stop_loss] => 0.20963
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-23 22:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2141
[entry_price] => 0.2115
[stop_loss] => 0.20946
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-23 22:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2141
[entry_price] => 0.2115
[stop_loss] => 0.20929
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-24 00:00:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.2141
[entry_price] => 0.2115
[stop_loss] => 0.20895
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-24 00:00:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0025
[max_drawdown] => 0.0021
[rr_ratio] => 1.19
[high] => 0.21400000
[low] => 0.20940000
[mfe_pct] => 1.18
[mae_pct] => 0.99
[mfe_mae_ratio] => 1.19
[candles_analyzed] => 24
[start_at] => 2025-06-23T21:16:22-04:00
[end_at] => 2025-06-23T23:16:22-04:00
)
[long_term] => Array
(
[max_gain] => 0.0054
[max_drawdown] => 0.0021
[rr_ratio] => 2.57
[high] => 0.21690000
[low] => 0.20940000
[mfe_pct] => 2.55
[mae_pct] => 0.99
[mfe_mae_ratio] => 2.57
[candles_analyzed] => 72
[start_at] => 2025-06-23T21:16:22-04:00
[end_at] => 2025-06-24T03:16:22-04:00
)
[breakout] => Array
(
[high_before] => 0.22470000
[high_after] => 0.21690000
[low_before] => 0.21060000
[low_after] => 0.20940000
[is_new_high] =>
[is_new_low] =>
)
)