Long Trade on JTO 30 Jun 2025 at 17:37:18
Take profit at 2.3227 (1.58 %) and Stop Loss at 2.2623 (1.06 %)
Long Trade on JTO 30 Jun 2025 at 17:37:18
Take profit at 2.3227 (1.58 %) and Stop Loss at 2.2623 (1.06 %)
Position size of 756.9655 $
Take profit at 2.3227 (1.58 %) and Stop Loss at 2.2623 (1.06 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.67 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.56 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.335696 |
Indicators:
107463
-0.00122181
107332
0.335696
107571
-0.00235129
107318
107482
-0.00139791
107332
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 30 Jun 2025 17:37:18 |
30 Jun 2025 17:40:00 |
2 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.2865 | 2.2623 | 2.3227 | 1.5 | 0.2852 |
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 = 2.2623 - 2.2865 = -0.0242
Récompense (distance jusqu'au take profit):
E - TP = 2.2865 - 2.3227 = -0.0362
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0362 / -0.0242 = 1.4959
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 756.9655 | 100 | 331.0586 | 7.57 |
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 / -0.0242 = -330.58
Taille de position USD = -330.58 x 2.2865 = -755.87
Donc, tu peux acheter -330.58 avec un stoploss a 2.2623
Avec un position size USD de -755.87$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -330.58 x -0.0242 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -330.58 x -0.0362 = 11.97
Si Take Profit atteint, tu gagneras 11.97$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.58 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.06 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -1.05 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.301 % | 219.16 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.323
[entry_price] => 2.286
[stop_loss] => 2.2596
[rr_ratio] => 1.4
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-30 17:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.323
[entry_price] => 2.286
[stop_loss] => 2.2572
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-30 17:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.323
[entry_price] => 2.286
[stop_loss] => 2.2548
[rr_ratio] => 1.19
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-30 17:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.323
[entry_price] => 2.286
[stop_loss] => 2.25
[rr_ratio] => 1.03
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-30 17:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -0.00030000000000019
[max_drawdown] => 0.07
[rr_ratio] => 0
[high] => 2.28620000
[low] => 2.21650000
[mfe_pct] => -0.01
[mae_pct] => 3.06
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-06-30T17:37:18-04:00
[end_at] => 2025-06-30T19:37:18-04:00
)
[long_term] => Array
(
[max_gain] => -0.00030000000000019
[max_drawdown] => 0.1455
[rr_ratio] => 0
[high] => 2.28620000
[low] => 2.14100000
[mfe_pct] => -0.01
[mae_pct] => 6.36
[mfe_mae_ratio] => 0
[candles_analyzed] => 72
[start_at] => 2025-06-30T17:37:18-04:00
[end_at] => 2025-06-30T23:37:18-04:00
)
[breakout] => Array
(
[high_before] => 2.42610000
[high_after] => 2.28620000
[low_before] => 2.28090000
[low_after] => 2.14100000
[is_new_high] =>
[is_new_low] =>
)
)