Long Trade on JUP 22 Aug 2025 at 22:26:25
Take profit at 0.52 (0.7 %) and Stop Loss at 0.514 (0.46 %)
Long Trade on JUP 22 Aug 2025 at 22:26:25
Take profit at 0.52 (0.7 %) and Stop Loss at 0.514 (0.46 %)
Position size of 1714.6906 $
Take profit at 0.52 (0.7 %) and Stop Loss at 0.514 (0.46 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.89 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.81 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : bull_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.525684 |
2 |
Indicators:
116762
-0.00615795
116043
0.525684
115218
0.00831513
116176
114454
0.013877
116043
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Aug 2025 22:26:25 |
22 Aug 2025 22:30:00 |
3 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.5164 | 0.514 | 0.52 | 1.5 | 0.1588 |
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 = 0.514 - 0.5164 = -0.0024
Récompense (distance jusqu'au take profit):
E - TP = 0.5164 - 0.52 = -0.0036
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0036 / -0.0024 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1714.6906 | 100 | 3320.4699 | 17.15 |
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 / -0.0024 = -3333.33
Taille de position USD = -3333.33 x 0.5164 = -1721.33
Donc, tu peux acheter -3333.33 avec un stoploss a 0.514
Avec un position size USD de -1721.33$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -3333.33 x -0.0024 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -3333.33 x -0.0036 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.7 % | 11.95 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.46 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -0.46 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8133 % | 174.98 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.52
[entry_price] => 0.5164
[stop_loss] => 0.51376
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-22 22:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.52
[entry_price] => 0.5164
[stop_loss] => 0.51352
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-22 22:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.52
[entry_price] => 0.5164
[stop_loss] => 0.51328
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-22 22:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.52
[entry_price] => 0.5164
[stop_loss] => 0.5128
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-22 22:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.003
[max_drawdown] => 0.0076999999999999
[rr_ratio] => 0.39
[high] => 0.51940000
[low] => 0.50870000
[mfe_pct] => 0.58
[mae_pct] => 1.49
[mfe_mae_ratio] => 0.39
[candles_analyzed] => 24
[start_at] => 2025-08-22T22:26:25-04:00
[end_at] => 2025-08-23T00:26:25-04:00
)
[long_term] => Array
(
[max_gain] => 0.0256
[max_drawdown] => 0.0076999999999999
[rr_ratio] => 3.32
[high] => 0.54200000
[low] => 0.50870000
[mfe_pct] => 4.96
[mae_pct] => 1.49
[mfe_mae_ratio] => 3.32
[candles_analyzed] => 84
[start_at] => 2025-08-22T22:26:25-04:00
[end_at] => 2025-08-23T05:26:25-04:00
)
[breakout] => Array
(
[high_before] => 0.53340000
[high_after] => 0.54200000
[low_before] => 0.51240000
[low_after] => 0.50870000
[is_new_high] => 1
[is_new_low] =>
)
)