Long Trade on APE 16 Jul 2025 at 19:15:35
Take profit at 0.6774 (0.62 %) and Stop Loss at 0.6704 (0.42 %)
Long Trade on APE 16 Jul 2025 at 19:15:35
Take profit at 0.6774 (0.62 %) and Stop Loss at 0.6704 (0.42 %)
Position size of 1946.0558 $
Take profit at 0.6774 (0.62 %) and Stop Loss at 0.6704 (0.42 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.55 |
| Prediction 2 | Probability |
|---|---|
| 2 | 0.45 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.553109 |
Indicators:
119246
-0.00570796
118566
0.553109
118692
-0.00106355
118566
118358
0.00175641
118566
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 Jul 2025 19:15:35 |
16 Jul 2025 19:20:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.6732 | 0.6704 | 0.6774 | 1.5 | 0.1087 |
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 = 0.6704 - 0.6732 = -0.0028
Récompense (distance jusqu'au take profit):
E - TP = 0.6732 - 0.6774 = -0.0042
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0042 / -0.0028 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1946.0558 | 100 | 2890.7544 | 19.46 |
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 / -0.0028 = -2857.14
Taille de position USD = -2857.14 x 0.6732 = -1923.43
Donc, tu peux acheter -2857.14 avec un stoploss a 0.6704
Avec un position size USD de -1923.43$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2857.14 x -0.0028 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2857.14 x -0.0042 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.62 % | 12.14 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.42 % | 8.09 $ |
| PNL | PNL % |
|---|---|
| -8.09 $ | -0.42 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5051 % | 121.45 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.6774
[entry_price] => 0.6732
[stop_loss] => 0.67012
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-16 19:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.6774
[entry_price] => 0.6732
[stop_loss] => 0.66984
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-16 19:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.6774
[entry_price] => 0.6732
[stop_loss] => 0.66956
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-16 19:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.6774
[entry_price] => 0.6732
[stop_loss] => 0.669
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-16 19:55:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0036999999999999
[max_drawdown] => 0.0048
[rr_ratio] => 0.77
[high] => 0.67690000
[low] => 0.66840000
[mfe_pct] => 0.55
[mae_pct] => 0.71
[mfe_mae_ratio] => 0.77
[candles_analyzed] => 24
[start_at] => 2025-07-16T19:15:35-04:00
[end_at] => 2025-07-16T21:15:35-04:00
)
[long_term] => Array
(
[max_gain] => 0.0036999999999999
[max_drawdown] => 0.0202
[rr_ratio] => 0.18
[high] => 0.67690000
[low] => 0.65300000
[mfe_pct] => 0.55
[mae_pct] => 3
[mfe_mae_ratio] => 0.18
[candles_analyzed] => 72
[start_at] => 2025-07-16T19:15:35-04:00
[end_at] => 2025-07-17T01:15:35-04:00
)
[breakout] => Array
(
[high_before] => 0.68440000
[high_after] => 0.67690000
[low_before] => 0.66980000
[low_after] => 0.65300000
[is_new_high] =>
[is_new_low] =>
)
)